Items where Subject is "Subjects > Engineering"

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Number of items at this level: 135.

2023

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Monitoring tool conditions and sub-assemblies before final integration is essential to reducing processing failures and improving production quality for manufacturing setups. This research study proposes a real-time deep learning-based framework for identifying faulty components due to malfunctioning at different manufacturing stages in the aerospace industry. It uses a convolutional neural network (CNN) to recognize and classify intermediate abnormal states in a single manufacturing process. The manufacturing process for aircraft factory products comprises different phases; analyzing the components after the integration is labor-intensive and time-consuming, which often puts the company’s stake at high risk. To overcome these challenges, the proposed AI-based system can perform inspection and defect detection and alleviate the probability of components’ needing to be re-manufacturing after being assembled. In addition, it analyses the impact value, i.e., rework delays and costs, of manufacturing processes using a statistical process control tool on real-time data for various manufactured components. Defects are detected and classified using the CNN and teachable machine in the single manufacturing process during the initial stage prior to assembling the components. The results show the significance of the proposed approach in improving operational cost management and reducing rework-induced delays. Ground tests are conducted to calculate the impact value followed by the air tests of the final assembled aircraft. The statistical results indicate a 52.88% and 34.32% reduction in time delays and total cost, respectively. metadata Shafi, Imran and Mazhar, Muhammad Fawad and Fatima, Anum and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2023) Deep Learning-Based Real Time Defect Detection for Optimization of Aircraft Manufacturing and Control Performance. Drones, 7 (1). p. 31. ISSN 2504-446X

Article Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in the scientific community, especially in the health sector. With the aim of providing useful tools to help nutritionists and dieticians, research focused on the development of ML and Deep Learning (DL) algorithms and models is searched in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol has been used, a very common technique applied to carry out revisions. In our proposal, 17 articles have been filtered in which ML and DL are applied in the prediction of diseases, in the delineation of treatment strategies, in the improvement of personalized nutrition and more. Despite expecting better results with the use of DL, according to the selected investigations, the traditional methods are still the most used and the yields in both cases fluctuate around positive values, conditioned by the databases (transformed in each case) to a greater extent than by the artificial intelligence paradigm used. Conclusions: An important compilation is provided for the literature in this area. ML models are time-consuming to clean data, but (like DL) they allow automatic modeling of large volumes of data which makes them superior to traditional statistics. metadata Ferreras, Antonio and Sumalla Cano, Sandra and Martínez-Licort, Rosmeri and Elío Pascual, Iñaki and Tutusaus, Kilian and Prola, Thomas and Vidal Mazón, Juan Luis and Sahelices, Benjamín and de la Torre Díez, Isabel mail UNSPECIFIED, sandra.sumalla@uneatlantico.es, UNSPECIFIED, inaki.elio@uneatlantico.es, kilian.tutusaus@uneatlantico.es, thomas.prola@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight. Journal of Medical Systems, 47 (1). ISSN 1573-689X

2022

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Tuberculosis (TB) is an airborne disease caused by Mycobacterium tuberculosis. It is imperative to detect cases of TB as early as possible because if left untreated, there is a 70% chance of a patient dying within 10 years. The necessity for supplementary tools has increased in mid to low-income countries due to the rise of automation in healthcare sectors. The already limited resources are being heavily allocated towards controlling other dangerous diseases. Modern digital radiography (DR) machines, used for screening chest X-rays of potential TB victims are very practical. Coupled with computer-aided detection (CAD) with the aid of artificial intelligence, radiologists working in this field can really help potential patients. In this study, progressive resizing is introduced for training models to perform automatic inference of TB using chest X-ray images. ImageNet fine-tuned Normalization-Free Networks (NFNets) are trained for classification and the Score-Cam algorithm is utilized to highlight the regions in the chest X-Rays for detailed inference on the diagnosis. The proposed method is engineered to provide accurate diagnostics for both binary and multiclass classification. The models trained with this method have achieved 96.91% accuracy, 99.38% AUC, 91.81% sensitivity, and 98.42% specificity on a multiclass classification dataset. Moreover, models have also achieved top-1 inference metrics of 96% accuracy and 98% AUC for binary classification. The results obtained demonstrate that the proposed method can be used as a secondary decision tool in a clinical setting for assisting radiologists. metadata Acharya, Vasundhara and Dhiman, Gaurav and Prakasha, Krishna and Bahadur, Pranshu and Choraria, Ankit and M, Sushobhitha and J, Sowjanya and Prabhu, Srikanth and Chadaga, Krishnaraj and Viriyasitavat, Wattana and Kautish, Sandeep and Haldorai, Anandakumar mail UNSPECIFIED (2022) AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model. Computational Intelligence and Neuroscience, 2022. pp. 1-19. ISSN 1687-5265

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Artificial intelligence has been widely used in the field of dentistry in recent years. The present study highlights current advances and limitations in integrating artificial intelligence, machine learning, and deep learning in subfields of dentistry including periodontology, endodontics, orthodontics, restorative dentistry, and oral pathology. This article aims to provide a systematic review of current clinical applications of artificial intelligence within different fields of dentistry. The preferred reporting items for systematic reviews (PRISMA) statement was used as a formal guideline for data collection. Data was obtained from research studies for 2009–2022. The analysis included a total of 55 papers from Google Scholar, IEEE, PubMed, and Scopus databases. Results show that artificial intelligence has the potential to improve dental care, disease diagnosis and prognosis, treatment planning, and risk assessment. Finally, this study highlights the limitations of the analyzed studies and provides future directions to improve dental care metadata Fatima, Anum and Shafi, Imran and Afzal, Hammad and Díez, Isabel De La Torre and Lourdes, Del Rio-Solá M. and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives. Healthcare, 10 (11). p. 2188. ISSN 2227-9032

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The fast expansion of ICT (information and communications technology) has provided rich sources of data for the analysis, modeling, and interpretation of human mobility patterns. Many researchers have already introduced behavior-aware protocols for a better understanding of architecture and realistic modeling of behavioral characteristics, similarities, and aggregation of mobile users. We are introducing the similarity analytical framework for the mobile encountering analysis to allow for more direct integration between the physical world and cyber-based systems. In this research, we propose a method for finding the similarity behavior of users’ mobility patterns based on location and time. This research was conducted to develop a technique for producing co-occurrence matrices of users based on their similar behaviors to determine their encounters. Our approach, named SAA (similarity analysis approach), makes use of the device info i.e., IP (internet protocol) and MAC (media access control) address, providing an in-depth analysis of similarity behaviors on a daily basis. We analyzed the similarity distributions of users on different days of the week for different locations based on their real movements. The results show similar characteristics of users with common mobility behaviors based on location and time to showcase the efficacy. The results show that the proposed SAA approach is 33% more accurate in terms of recognizing the user’s similarity as compared to the existing similarity approach. metadata Memon, Ambreen and Kilby, Jeff and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Analysis and Implementation of Human Mobility Behavior Using Similarity Analysis Based on Co-Occurrence Matrix. Sensors, 22 (24). p. 9898. ISSN 1424-8220

Article Subjects > Social Sciences
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Innovation plays a pivotal role in the progress and goodwill of an organization, and its ability to thrive. Consequently, the impact analysis of innovation on the performance of an organization holds great importance. This paper presents a two-stage analytical framework to examine the impact of business innovation on a firm’s performance, especially firms from the manufacturing sector. The prime objective is to identify the factors that have an impact on firm-level innovation, and to examine the impact of firm-level innovation on business performance. The framework and its analysis are based on the latest World Bank enterprise survey, with a sample size of 696 manufacturing firms. The first stage of the proposed framework establishes the analytical results through Bivariate Probit, which indicates that research and development (R&D) has a significantly positive impact on the product, process, marketing, and organizational innovations. It thus highlights the important role of the allocation of lump-sum amounts for R&D activities. The statistical analysis shows that innovation does not depend on the size of the firms. Moreover, the older firms are found to be wiser at conducting R&D than newer firms that are reluctant to take risks. The second stage of the proposed framework separately analyzes the impacts of the product and organizational innovation, and the process and marketing innovation on the firm performance, and finds them to be statistically significant and insignificant, respectively. metadata Aslam, Mahrukh and Shafi, Imran and Ahmad, Jamil and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Soriano Flores, Emmanuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, emmanuel.soriano@uneatlantico.es, UNSPECIFIED (2022) An Analytical Framework for Innovation Determinants and Their Impact on Business Performance. Sustainability, 15 (1). p. 458. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés With the global spread of COVID-19, the governments advised the public for adopting safety precautions to limit its spread. The virus spreads from people, contaminated places, and nozzle droplets that necessitate strict precautionary measures. Consequently, different safety precautions have been implemented to fight COVID-19 such as wearing a facemask, restriction of social gatherings, keeping 6 feet distance, etc. Despite the warnings, highlighted need for such measures, and the increasing severity of the pandemic situation, the expected number of people adopting these precautions is low. This study aims at assessing and understanding the public perception of COVID-19 safety precautions, especially the use of facemask. A unified framework of sentiment lexicon with the proposed ensemble EB-DT is devised to analyze sentiments regarding safety precautions. Extensive experiments are performed with a large dataset collected from Twitter. In addition, the factors leading to a negative perception of safety precautions are analyzed by performing topic analysis using the Latent Dirichlet allocation algorithm. The experimental results reveal that 12% of the tweets correspond to negative sentiments towards facemask precaution mainly by its discomfort. Analysis of change in peoples’ sentiment over time indicates a gradual increase in the positive sentiments regarding COVID-19 restrictions. metadata Qamar, Usman and Ahmad, Ayaz and Rustam, Furqan and Saad, Eysha and Siddique, Muhammad Abubakar and Lee, Ernesto and Ortega-Mansilla, Arturo and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Analyzing preventive precautions to limit spread of COVID-19. PLOS ONE, 17 (8). e0272350. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The demand for cloud computing has drastically increased recently, but this paradigm has several issues due to its inherent complications, such as non-reliability, latency, lesser mobility support, and location-aware services. Fog computing can resolve these issues to some extent, yet it is still in its infancy. Despite several existing works, these works lack fault-tolerant fog computing, which necessitates further research. Fault tolerance enables the performing and provisioning of services despite failures and maintains anti-fragility and resiliency. Fog computing is highly diverse in terms of failures as compared to cloud computing and requires wide research and investigation. From this perspective, this study primarily focuses on the provision of uninterrupted services through fog computing. A framework has been designed to provide uninterrupted services while maintaining resiliency. The geographical information system (GIS) services have been deployed as a test bed which requires high computation, requires intensive resources in terms of CPU and memory, and requires low latency. Keeping different types of failures at different levels and their impacts on service failure and greater response time in mind, the framework was made anti-fragile and resilient at different levels. Experimental results indicate that during service interruption, the user state remains unaffected. metadata Mir, Tahira Sarwar and Liaqat, Hannan Bin and Kiren, Tayybah and Sana, Muhammad Usman and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Pascual Barrera, Alina Eugenia and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Antifragile and Resilient Geographical Information System Service Delivery in Fog Computing. Sensors, 22 (22). p. 8778. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés, Español Actualmente la gestión de proyectos cuenta con muchas herramientas y metodologías que buscan desarrollar proyectos exitosos, no siempre es posible cumplir con los objetivos fijados desde su concepción. Una gran parte de los proyectos de construcción son ejecutados sin ser evaluados y documentados adecuadamente a lo largo de su ciclo de vida, aumentando las probabilidades de ser un proyecto fallido y de no cumplir con la rentabilidad o uso esperado. El caso de estudio es sobre un proyecto hidroeléctrico que fue iniciado con personal propio de una empresa privada hondureña (EPH)[1], que al poco tiempo empezó a presentar una serie de inconvenientes que generaron desfases en costos y en tiempo. Cuando se había utilizado el 85% del presupuesto original estimado y se observa un avance de obra menor al 50%, la EPH decidió contratar a una empresa supervisora externa (ESE) para darle seguimiento al proyecto, revisar el diseño del mismo y que se asegurara que el proyecto fuera culminado. El proyecto fue culminado con un año y ocho meses adicionales de construcción y el costo del total final superó en 7.5 millones de dólares americanos del presupuesto original. El objetivo principal de esta investigación es la de analizar la eficiencia y sostenibilidad del proyecto para obtener lecciones que posibiliten la identificación de las fallas y aciertos en los desvíos alcanzados a lo largo del mismo y, a partir de ellos, generar recomendaciones que le permitan a la organización corregir y mejorar su actual metodología para sus futuros proyectos. metadata Ramírez López, Ana Mellissa and Mazzetto, Matías Ariel mail UNSPECIFIED (2022) Análisis y mejores prácticas proyectuales de una obra civil hidroeléctrica de Honduras. Project Design and Management, 4 (2). ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. The production of electricity from fuel oil has severe implications on climate change and people’s health due to SO2 emissions. This study describes the simulation of eight different scenarios for SO2 pollutant dispersion. It takes into account distance, geoenvironmental parameters, wind, terrain roughness, and Pasquill–Gifford–Turner atmospheric stability and categories of dispersion based on technical information about SO2 concentration from stacks and from one of the atmospheric monitoring stations in Salamanca city. Its transverse character, its usefulness for modeling, and epidemiological, meteorological, and fluid dynamics studies, as suggested by the models approved by the Environmental Protection Agency (EPA), show a maximum average concentration of 399 µg/m3, at an average distance of 1800 m. The best result comparison in the scenarios was scenery 8. Maximum nocturnal dispersion was shown at a wind speed of 8.4 m/s, and an SO2 concentration of 280 µg/m3 for stack 4, an atypical situation due to the geography of the city. From the validation process, a relative error of 14.7 % was obtained, which indicates the reliability of the applied Gaussian model. Regarding the mathematical solution of the model, this represents a reliable and low-cost tool that can help improve air quality management, the location or relocation of atmospheric monitoring stations, and migration from the use of fossil fuels to environmentally friendly fuels. metadata Violante Gavira, Amanda Enrriqueta and Sosa González, Wadi Elim and Pali-Casanova, Ramón and Yam Cervantes, Marcial Alfredo and Aguilar Vega, Manuel and Chacha Coto, Javier and Zavala Loría, José del Carmen and Dzul López, Luis Alonso and García Villena, Eduardo mail amanda@ugto.mx, UNSPECIFIED, ramon.pali@unini.edu.mx, marcial.yam@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, jose.zavala@unini.edu.mx, luis.dzul@uneatlantico.es, eduardo.garcia@uneatlantico.es (2022) Application of the Gaussian Model for Monitoring Scenarios and Estimation of SO2 Atmospheric Emissions in the Salamanca Area, Bajío, Mexico. Atmosphere, 13 (6). p. 874. ISSN 2073-4433

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés With rapid urbanization, high rates of industrialization, and inappropriate waste disposal, water quality has been substantially degraded during the past decade. So, water quality prediction, an essential element for a healthy society, has become a task of great significance to protecting the water environment. Existing approaches focus predominantly on either water quality or water consumption prediction, utilizing complex algorithms that reduce the accuracy of imbalanced datasets and increase computational complexity. This study proposes a simple architecture of neural networks which is more efficient and accurate and can work for predicting both water quality and water consumption. An artificial neural network (ANN) consisting of one hidden layer and a couple of dropout and activation layers is utilized in this regard. The approach is tested using two datasets for predicting water quality and water consumption. Results show a 0.96 accuracy for water quality prediction which is better than existing studies. A 0.99 R2 score is obtained for water consumption prediction which is superior to existing state-of-the-art approaches. metadata Rustam, Furqan and Ishaq, Abid and Kokab, Sayyida Tabinda and de la Torre Diez, Isabel and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) An Artificial Neural Network Model for Water Quality and Water Consumption Prediction. Water, 14 (21). p. 3359. ISSN 2073-4441

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés UNSPECIFIED metadata Kimothi, Sanjeev and Thapliyal, Asha and Akram, Shaik Vaseem and Singh, Rajesh and Gehlot, Anita and Mohamed, Heba G. and Anand, Divya and Ibrahim, Muhammad and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) Big Data Analysis Framework for Water Quality Indicators with Assimilation of IoT and ML. Electronics, 11 (13). p. 1927. ISSN 2079-9292

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Building energy consumption prediction has become an important research problem within the context of sustainable homes and smart cities. Data-driven approaches have been regarded as the most suitable for integration into smart houses. With the wide deployment of IoT sensors, the data generated from these sensors can be used for modeling and forecasting energy consumption patterns. Existing studies lag in prediction accuracy and various attributes of buildings are not very well studied. This study follows a data-driven approach in this regard. The novelty of the paper lies in the fact that an ensemble model is proposed, which provides higher performance regarding cooling and heating load prediction. Moreover, the influence of different features on heating and cooling load is investigated. Experiments are performed by considering different features such as glazing area, orientation, height, relative compactness, roof area, surface area, and wall area. Results indicate that relative compactness, surface area, and wall area play a significant role in selecting the appropriate cooling and heating load for a building. The proposed model achieves 0.999 R2 for heating load prediction and 0.997 R2 for cooling load prediction, which is superior to existing state-of-the-art models. The precise prediction of heating and cooling load, can help engineers design energy-efficient buildings, especially in the context of future smart homes metadata Chaganti, Rajasekhar and Rustam, Furqan and Daghriri, Talal and Díez, Isabel de la Torre and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model. Sensors, 22 (19). p. 7692. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Developments in medical care have inspired wide interest in the current decade, especially to their services to individuals living prolonged and healthier lives. Alzheimer’s disease (AD) is the most chronic neurodegeneration and dementia-causing disorder. Economic expense of treating AD patients is expected to grow. The requirement of developing a computer-aided technique for early AD categorization becomes even more essential. Deep learning (DL) models offer numerous benefits against machine learning tools. Several latest experiments that exploited brain magnetic resonance imaging (MRI) scans and convolutional neural networks (CNN) for AD classification showed promising conclusions. CNN’s receptive field aids in the extraction of main recognizable features from these MRI scans. In order to increase classification accuracy, a new adaptive model based on CNN and support vector machines (SVM) is presented in the research, combining both the CNN’s capabilities in feature extraction and SVM in classification. The objective of this research is to build a hybrid CNN-SVM model for classifying AD using the MRI ADNI dataset. Experimental results reveal that the hybrid CNN-SVM model outperforms the CNN model alone, with relative improvements of 3.4%, 1.09%, 0.85%, and 2.82% on the testing dataset for AD vs. cognitive normal (CN), CN vs. mild cognitive impairment (MCI), AD vs. MCI, and CN vs. MCI vs. AD, respectively. Finally, the proposed approach has been further experimented on OASIS dataset leading to accuracy of 86.2%. metadata Sethi, Monika and Rani, Shalli and Singh, Aman and Vidal Mazón, Juan Luis and Bhatia, Surbhi mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED (2022) A CAD System for Alzheimer’s Disease Classification Using Neuroimaging MRI 2D Slices. Computational and Mathematical Methods in Medicine, 2022. pp. 1-11. ISSN 1748-670X

Article Subjects > Biomedicine
Subjects > Engineering
Ibero-american International University > Research > Scientific Production Cerrado Inglés According to the World Health Organization (WHO), Parkinson’s disease (PD) is a neurodegenerative disease of the brain that causes motor symptoms including slower movement, rigidity, tremor, and imbalance in addition to other problems like Alzheimer’s disease (AD), psychiatric problems, insomnia, anxiety, and sensory abnormalities. Techniques including artificial intelligence (AI), machine learning (ML), and deep learning (DL) have been established for the classification of PD and normal controls (NC) with similar therapeutic appearances in order to address these problems and improve the diagnostic procedure for PD. In this article, we examine a literature survey of research articles published up to September 2022 in order to present an in-depth analysis of the use of datasets, various modalities, experimental setups, and architectures that have been applied in the diagnosis of subjective disease. This analysis includes a total of 217 research publications with a list of the various datasets, methodologies, and features. These findings suggest that ML/DL methods and novel biomarkers hold promising results for application in medical decision-making, leading to a more methodical and thorough detection of PD. Finally, we highlight the challenges and provide appropriate recommendations on selecting approaches that might be used for subgrouping and connection analysis with structural magnetic resonance imaging (sMRI), DaTSCAN, and single-photon emission computerized tomography (SPECT) data for future Parkinson’s research. metadata Rana, Arti and Dumka, Ankur and Singh, Rajesh and Panda, Manoj Kumar and Priyadarshi, Neeraj mail UNSPECIFIED (2022) A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives. Diagnostics, 12 (11). p. 2708. ISSN 2075-4418

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Asthma is a deadly disease that affects the lungs and air supply of the human body. Coronavirus and its variants also affect the airways of the lungs. Asthma patients approach hospitals mostly in a critical condition and require emergency treatment, which creates a burden on health institutions during pandemics. The similar symptoms of asthma and coronavirus create confusion for health workers during patient handling and treatment of disease. The unavailability of patient history to physicians causes complications in proper diagnostics and treatments. Many asthma patient deaths have been reported especially during pandemics, which necessitates an efficient framework for asthma patients. In this article, we have proposed a blockchain consortium healthcare framework for asthma patients. The proposed framework helps in managing asthma healthcare units, coronavirus patient records and vaccination centers, insurance companies, and government agencies, which are connected through the secure blockchain network. The proposed framework increases data security and scalability as it stores encrypted patient data on the Interplanetary File System (IPFS) and keeps data hash values on the blockchain. The patient data are traceable and accessible to physicians and stakeholders, which helps in accurate diagnostics, timely treatment, and the management of patients. The smart contract ensures the execution of all business rules. The patient profile generation mechanism is also discussed. The experiment results revealed that the proposed framework has better transaction throughput, query delay, and security than existing solutions metadata Farooq, Muhammad Shoaib and Suhail, Maryam and Qureshi, Junaid Nasir and Rustam, Furqan and de la Torre Díez, Isabel and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics. Sensors, 22 (21). p. 8582. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Large-scale distributed systems have the advantages of high processing speeds and large communication bandwidths over the network. The processing of huge real-world data within a time constraint becomes tricky, due to the complexity of data parallel task scheduling in a time constrained environment. This paper proposes data parallel task scheduling in cloud to address the minimization of cost and time constraints. By running concurrent executions of tasks on multi-core cloud resources, the number of parallel executions could be increased correspondingly, thereby, finishing the task within the deadline is possible. A mathematical model is developed here to minimize the operational cost of data parallel tasks by feasibly assigning a load to each virtual machine in the cloud data center. This work experiments with a machine learning model that is replicated on the multi-core cloud heterogeneous resources to execute different input data concurrently to accomplish distributive learning. The outcome of concurrent execution of data-intensive tasks on different parts of the input dataset gives better solutions in terms of processing the task by the deadline at optimized cost. metadata Rajalakshmi, N. R. and Dumka, Ankur and Kumar, Manoj and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Anand, Divya and Elkamchouchi, Dalia H. and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) A Cost-Optimized Data Parallel Task Scheduling with Deadline Constraints in Cloud. Electronics, 11 (13). p. 2022. ISSN 2079-9292

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español Se realizó un trabajo de investigación para determinar y priorizar los requerimientos de capacitación del personal del Sistema Penitenciario Costarricense, a fin de analizar la factibilidad de satisfacerlos mediante el uso de MOOC (Massive Open Online Course). Se ejecutó una investigación de tipo mixta, exploratoria, mediante la aplicación de un cuestionario de necesidades de capacitación, aplicado a las Jefaturas de la Institución, para conocer y priorizar las necesidades de capacitación del personal. Se analizó además, la oferta de cursos de varias plataformas MOOC y se revisó cuáles plataformas MOOC presentaban oferta de cursos que pudieran ser aplicados en la satisfacción de los requerimientos existentes. Se encontraron antecedentes de investigaciones similares, relacionadas con el diagnóstico de necesidades de capacitación y la aplicación de MOOC para la formación profesional continua en organizaciones públicas y privadas La investigación permitió identificar plataformas que ofrecen MOOC aplicables a la satisfacción de los requerimientos del personal de Sistema Penitenciario Costarricense. Los resultados obtenidos permiten concluir que es factible utilizar MOOC en la capacitación del personal referido, se generan recomendaciones para futuras investigaciones en el tema y se plantea la necesidad de ejecutar un estudio sobre el efecto de la falta de capacitación en el Sistema Penitenciario Costarricense. metadata Canto-Ramírez, José Luis and Granados Saavedra, Marianella mail UNSPECIFIED (2022) Cursos abiertos masivos en línea (MOOC) y capacitación del personal: la experiencia del sistema penitenciario costarricense. Project Design and Management, 4 (1). ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés A population explosion has resulted in garbage generation on a large scale. The process of proper and automatic garbage collection is a challenging and tedious task for developing countries. This paper proposes a deep learning-based intelligent garbage detection system using an Unmanned Aerial Vehicle (UAV). The main aim of this paper is to provide a low-cost, accurate and easy-to-use solution for handling the garbage effectively. It also helps municipal corporations to detect the garbage areas in remote locations automatically. This automation was derived using two Convolutional Neural Network (CNN) models and images of solid waste were captured by the drone. Both models were trained on the collected image dataset at different learning rates, optimizers and epochs. This research uses symmetry during the sampling of garbage images. Homogeneity regarding resizing of images is generated due to the application of symmetry to extract their characteristics. The performance of two CNN models was evaluated with the state-of-the-art models using different performance evaluation metrics such as precision, recall, F1-score, and accuracy. The CNN1 model achieved better performance for automatic solid waste detection with 94% accuracy metadata Verma, Vishal and Gupta, Deepali and Gupta, Sheifali and Uppal, Mudita and Anand, Divya and Ortega-Mansilla, Arturo and Alharithi, Fahd S. and Almotiri, Jasem and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) A Deep Learning-Based Intelligent Garbage Detection System Using an Unmanned Aerial Vehicle. Symmetry, 14 (5). p. 960. ISSN 2073-8994

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Portugués As máscaras de protecção facial tornaram de uso obrigatório pela população em geral, nesta época da pandemia de Covid-19 mas a falta de consciência dos danos que advém do descarte incorrecto leva a danos ambientais. Foi proposto como objectivo deste estudo em contribuir os efeitos das máscaras descartáveis quanto a poluição do meio ambiente incentivando o descarte correcto das mesmas. Destaca-se o método de revisão narrativa e acomoda-se como um estudo de natureza qualitativa e teve a observação no local dos acontecimentos e também realizou-se uma busca na base de informações da MEDLINE, SciELO e Google Scholar e não se deixou de fora as recomendações oficiais maioritariamente da Organização Mundial da Saúde. A recolha de informação foi feita com base num questionário. Os resultados desta pesquisa são considerados satisfatório porque respondem aos objectivos traçados para o presente estudo. Concluiu-se que é necessário continuar com as acções de sensibilização da população em matérias de educação ambiental de modo que as pessoas percebam quais são os problemas ambientais que precisam de soluções para que o futuro ambiental não seja prejudicado e ter uma consciência quanto aos impactos ambientais. Continuar também a combater o alastramento da doença e no mínimo reduzir o uso das máscaras descartáveis optando pelo material reciclável como as máscaras caseiras que podem ser reutilizadas. Recomenda-se o descarte das máscaras de forma correcta e que se façam mais pesquisas capazes de educar e sensibilizar as populações sobre a gestão de residuos sólidos. metadata Cade Falume, Abede and Ramírez-Sánchez, Miguel Ysrrael mail UNSPECIFIED (2022) Descarte incorrecto de máscaras em tempo de pandemia de covid-19. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (3). e331236. ISSN 2675-6218

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés To address the current pandemic, multiple studies have focused on the development of new mHealth apps to help in curbing the number of infections, these applications aim to accelerate the identification and self-isolation of people exposed to SARS-CoV-2, the coronavirus known to cause COVID-19, by being in close contact with infected individuals. The main objectives of this paper are: (1) Analyze the current status of COVID-19 apps available on the main virtual stores: Google Play Store and App Store for Spain, and (2) Propose a novel mobile application that allows interaction and doctor-patient follow-up without the need for real-time consultations (face-to-face or telephone). In this research, a search for eHealth and telemedicine apps related to Covid-19 was performed in the main online stores: Google Play Store and App Store, until May 2021. Keywords were entered into the search engines of the online stores and relevant apps were selected for study using a PRISMA methodology. For the design and implementation of the proposed app named COVINFO, the main weaknesses of the apps studied were taken into account in order to propose a novel and useful app for healthcare systems. The search yielded a total of 50 apps, of which 24 were relevant to this study, of which 23 are free and 54% are available for Android and iOS operating systems (OS). The proposed app has been developed for mobile devices with Android OS being compatible with Android 4.4 and higher. This app enables doctor-patient interaction and constant monitoring of the patient's progress without the need for calls, chats or face-to-face consultation in real time. This work addresses design and development of an application for the transmission of the user's symptoms to his regular doctor, based on the fact that only 16.6% of existing applications have this functionality. The COVINFO app offers a novel service: asynchronous doctor-patient communication, as well as constant monitoring of the patient’s condition and evolution. This app makes it possible to better manage the time of healthcare personnel and avoid overcrowding in hospitals, with the aim of preventing the collapse of healthcare systems and the spread of the coronavirus. metadata Herrera Montano, Isabel and Pérez Pacho, Javier and Gracia Villar, Santos and Aparicio Obregón, Silvia and Breñosa, Jose and de la Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, silvia.aparicio@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2022) Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Español Patient care and convenience remain the concern of medical professionals and caregivers alike. An unconscious patient confined to a bed may develop fluid accumulation and pressure sores due to inactivity and deficiency of oxygen flow. Moreover, weight monitoring is crucial for an effective treatment plan, which is difficult to measure for bedridden patients. This paper presents the design and development of a smart and cost-effective independent system for lateral rotation, movement, weight measurement, and transporting immobile patients. Optimal dimensions and practical design specifications are determined by a survey across various hospitals. Subsequently, the proposed hoist-based weighing and turning mechanism is CAD-modeled and simulated. Later, the structural analysis is carried out to select suitable metallurgy for various sub-assemblies to ensure design reliability. After fabrication, optimization, integration, and testing procedures, the base frame is designed to mount a hydraulic motor for the actuator, a DC power source for self-sustenance, and lockable wheels for portability. The installation of a weighing scale and a hydraulic actuator is ensured to lift the patient for weight measuring up to 600 pounds or lateral turning of 80 degrees both ways. The developed system offers simple operating characteristics, allows for keeping patient weight records, and assists nurses in changing patients’ lateral positions both ways, comfortably massage patients’ backs, and transport them from one bed to another. Additionally, being lightweight offers reduced contact with the patient to increase the healthcare staff’s safety in pandemics; it is also height adjustable and portable, allowing for use with multiple-sized beds and easy transportation across the medical facility. The feedback from paramedics is encouraging regarding reducing labor-intensive nursing tasks, alleviating the discomfort of long-term bed-ridden patients, and allowing medical practitioners to suggest better treatment plans metadata Shafi, Imran and Farooq, Muhammad Siddique and De La Torre Díez, Isabel and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Design and Development of Smart Weight Measurement, Lateral Turning and Transfer Bedding for Unconscious Patients in Pandemics. Healthcare, 10 (11). p. 2174. ISSN 2227-9032

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés The Internet of Things (IoT) is a revolutionary technique of sharing data for smart devices that generates huge amounts of data from smart healthcare systems. Therefore, healthcare systems utilize the convergence power and traffic analysis of sensors that cannot be satisfactorily handled by the IoT. In this article, a novel mutation operator is devised and incorporated with the differential evolution (DE) algorithm. Two tests have been conducted in the validation process. Firstly, the newly dual adaption-based operators incorporated with the differential evolution algorithm are being proposed. The proposed approach provides sufficient diversity and enhances the search speed of nature’s local and global search environments in the problem. The proposed method incorporates the application of IoT-based smart healthcare. Second, an application-based test has been conducted, in which the proposed approach is applied to the application in the smart healthcare system. Therefore, IoT sensor deployment is an optimization problem to minimize service time, delay, and energy loss by considering the communication constraint between sensors(objects). The proposed algorithm is applied in this article to solve this optimization problem. Further, in the experimentation and comparative study, the proposed method is superior to the standard evolutionary algorithms in IoT applications concerning the minimum number of function evaluations and minimization of traffic services. The proposed approach also achieves efficiency in the minimum loss of energy in each service and reduces load and delay metadata Singh, Shailendra Pratap and Viriyasitavat, Wattana and Juneja, Sapna and Alshahrani, Hani and Shaikh, Asadullah and Dhiman, Gaurav and Singh, Aman and Kaur, Amandeep mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) Dual adaption based evolutionary algorithm for optimized the smart healthcare communication service of the Internet of Things in smart city. Physical Communication, 55. p. 101893. ISSN 18744907

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The diagnosis of early-stage lung cancer is challenging due to its asymptomatic nature, especially given the repeated radiation exposure and high cost of computed tomography(CT). Examining the lung CT images to detect pulmonary nodules, especially the cell lung cancer lesions, is also tedious and prone to errors even by a specialist. This study proposes a cancer diagnostic model based on a deep learning-enabled support vector machine (SVM). The proposed computer-aided design (CAD) model identifies the physiological and pathological changes in the soft tissues of the cross-section in lung cancer lesions. The model is first trained to recognize lung cancer by measuring and comparing the selected profile values in CT images obtained from patients and control patients at their diagnosis. Then, the model is tested and validated using the CT scans of both patients and control patients that are not shown in the training phase. The study investigates 888 annotated CT scans from the publicly available LIDC/IDRI database. The proposed deep learning-assisted SVM-based model yields 94% accuracy for pulmonary nodule detection representing early-stage lung cancer. It is found superior to other existing methods including complex deep learning, simple machine learning, and the hybrid techniques used on lung CT images for nodule detection. Experimental results demonstrate that the proposed approach can greatly assist radiologists in detecting early lung cancer and facilitating the timely management of patients. metadata Shafi, Imran and Din, Sadia and Khan, Asim and Díez, Isabel De La Torre and Pali-Casanova, Ramón and Tutusaus, Kilian and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, kilian.tutusaus@uneatlantico.es, UNSPECIFIED (2022) An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network. Cancers, 14 (21). p. 5457. ISSN 2072-6694

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español La proliferación de proyectos de desarrollo en África en general y en Camerún en particular durante la última década contrasta con sus resultados que en la mayoría de los casos son ambiguos. Estas actuaciones dependen en gran medida de las estrategias y decisiones adoptadas por los actores que interactúan. El análisis estratégico es, por tanto, un enfoque fundamental para comprender mejor los resultados de los programas de desarrollo. En este marco encaja el método MACTOR (Godet, 2007), una aplicación de la racionalidad actancial en el análisis de las interacciones humanas. Permite identificar a todos los actores activos y pasivos que intervienen en un proyecto y definir la matriz de alianzas, conflictos, estrategias, tácticas y objetivos que persiguen estos actores. Este método abre la vía a un análisis activo de la gestión de los proyectos de desarrollo para identificar mejor sus puntos fuertes y débiles. Este artículo es una revisión sistemática de las cuestiones en juego en este método y su aplicación en el contexto camerunés. Destaca los determinantes teóricos del método y su relevancia en el análisis de gestión de proyectos bajo una racionalidad actancial. metadata Assontia Djoudji, Gaston and en Bediang, Roger Kolokosso and Begnikin, Jean Joël mail gaston.assontia@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2022) El método MACTOR para analizar los procesos de gestión de los proyectos y programas de desarrollo en África. Project Design and Management, 4 (1). pp. 1-14. ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recognition, home automation, computer games, stress treatment, patient observation, depression, psychoanalysis, and robotics. Robot interfaces, emotion-aware smart agent systems, and efficient human–computer interaction all benefit greatly from facial expression recognition. This has garnered attention as a key prospect in recent years. However, due to shortcomings in the presence of occlusions, fluctuations in lighting, and changes in physical appearance, research on emotion recognition has to be improved. This paper proposes a new architecture design of a convolutional neural network (CNN) for the FER system and contains five convolution layers, one fully connected layer with rectified linear unit activation function, and a SoftMax layer. Additionally, the feature map enhancement is applied to accomplish a higher detection rate and higher precision. Lastly, an application is developed that mitigates the effects of the aforementioned problems and can identify the basic expressions of human emotions, such as joy, grief, surprise, fear, contempt, anger, etc. Results indicate that the proposed CNN achieves 92.66% accuracy with mixed datasets, while the accuracy for the cross dataset is 94.94%. metadata Qazi, Awais Salman and Farooq, Muhammad Shoaib and Rustam, Furqan and Gracia Villar, Mónica and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Emotion Detection Using Facial Expression Involving Occlusions and Tilt. Applied Sciences, 12 (22). p. 11797. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The demand for digitization has inspired organizations to move towards cloud computing, which has increased the challenge for cloud service providers to provide quality service. One of the challenges is energy consumption, which can shoot up the cost of using computing resources and has raised the carbon footprint in the atmosphere; therefore, it is an issue that it is imperative to address. Virtualization, bin-packing, and live VM migration techniques are the key resolvers that have been found to be efficacious in presenting sound solutions. Thus, in this paper, a new live VM migration algorithm, live migration with efficient ballooning (LMEB), is proposed; LMEB focuses on decreasing the size of the data that need to be shifted from the source to the destination server so that the total energy consumption of migration can be reduced. A simulation was performed with a specific configuration of virtual machines and servers, and the results proved that the proposed algorithm could trim down energy usage by 18%, migration time by 20%, and downtime by 20% in comparison with the existing approach of live migration with ballooning (LMB) metadata Gupta, Neha and Gupta, Kamali and Qahtani, Abdulrahman M. and Gupta, Deepali and Alharithi, Fahd S. and Singh, Aman and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) Energy-Aware Live VM Migration Using Ballooning in Cloud Data Center. Electronics, 11 (23). p. 3932. ISSN 2079-9292

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Rivers are dynamic geological agents on the earth which transport the weathered materials of the continent to the sea. Estimation of suspended sediment yield (SSY) is essential for management, planning, and designing in any river basin system. Estimation of SSY is critical due to its complex nonlinear processes, which are not captured by conventional regression methods. Rainfall, temperature, water discharge, SSY, rock type, relief, and catchment area data of 11 gauging stations were utilized to develop robust artificial intelligence (AI), similar to an artificial-neural-network (ANN)-based model for SSY prediction. The developed highly generalized global single ANN model using a large amount of data was applied at individual gauging stations for SSY prediction in the Mahanadi River basin, which is one of India’s largest peninsular rivers. It appeared that the proposed ANN model had the lowest root-mean-squared error (0.0089) and mean absolute error (0.0029) along with the highest coefficient of correlation (0.867) values among all comparative models (sediment rating curve and multiple linear regression). The ANN provided the best accuracy at Tikarapara among all stations. The ANN model was the most suitable substitute over other comparative models for SSY prediction. It was also noticed that the developed ANN model using the combined data of eleven stations performed better at Tikarapara than the other ANN which was developed using data from Tikarapara only. These approaches are suggested for SSY prediction in river basin systems due to their ease of implementation and better performance. metadata Yadav, Arvind and Chithaluru, Premkumar and Singh, Aman and Joshi, Devendra and Elkamchouchi, Dalia H. and Mazas Pérez-Oleaga, Cristina and Anand, Divya mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, divya.anand@uneatlantico.es (2022) An Enhanced Feed-Forward Back Propagation Levenberg–Marquardt Algorithm for Suspended Sediment Yield Modeling. Water, 14 (22). p. 3714. ISSN 2073-4441

Revista Subjects > Engineering Ibero-american International University > Research > Scientific Magazines
Europe University of Atlantic > Research > Scientific Magazines
Fundación Universitaria Internacional de Colombia > Research > Scientific Magazines
Ibero-american International University > Research > Scientific Magazines
Universidad Internacional do Cuanza > Research > Scientific Magazines
Abierto Español La revista Environmental Sciences and Practices (ESAP) nace como una publicación semestral con el objetivo de invitar a la reflexión y el debate para entender correctamente cual es la función, aporte y responsabilidad medioambiental no solo del mundo académico sino además en el espacio profesional. Comenzando por entender que el área de ESAP, es un espacio interdisciplinario, bajo un concepto innovador, colaborativo e integral hacia todas las áreas que convergen en una temática de interés común: el medio ambiente. Los artículos incluidos en esta revista se publican en español, portugués e inglés, atendiendo de esta manera a un espacio internacional y multicultural que permita una gestión del conocimiento actual, propia y necesaria del área medioambiental. A partir de esta página, podrá acceder a los índices de todas las ediciones de la revista Environmental Sciences and Practices, los resúmenes del artículo y los textos completos. Asimismo, en la sección "Acerca de" encontrará toda la información sobre nuestra revista, su equipo editorial, sistema de publicación y envíos en línea. metadata Multi-Lingual Scientific Journals, (MLS) mail mls@devnull.funiber.org (2022) Environmental Sciences and Practices. [Revista]

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The purpose of this article is to help to bridge the gap between sustainability and its application to project management by developing a methodology based on artificial intelligence to diagnose, classify, and forecast the level of sustainability of a sample of 186 projects aimed at local communities in Latin American and Caribbean countries. First, the compliance evaluation with the Sustainable Development Goals (SDGs) within the framework of the 2030 Agenda served to diagnose and determine, through fuzzy sets, a global sustainability index for the sample, resulting in a value of 0.638, in accordance with the overall average for the region. Probabilistic predictions were then made on the sustainability of the projects using a series of supervised learning classifiers (SVM, Random Forest, AdaBoost, KNN, etc.), with the SMOTE resampling technique, which provided a significant improvement toward the results of the different metrics of the base models. In this context, the Support Vector Machine (SVM) + SMOTE was the best classification algorithm, with accuracy of 0.92. Lastly, the extrapolation of this methodology is to be expected toward other realities and local circumstances, contributing to the fulfillment of the SDGs and the development of individual and collective capacities through the management and direction of projects. metadata García Villena, Eduardo and Pascual Barrera, Alina Eugenia and Álvarez, Roberto Marcelo and Dzul López, Luis Alonso and Tutusaus, Kilian and Vidal Mazón, Juan Luis and Miró Vera, Yini Airet and Brie, Santiago and López Flores, Miguel A. mail eduardo.garcia@uneatlantico.es, alina.pascual@unini.edu.mx, roberto.alvarez@uneatlantico.es, luis.dzul@uneatlantico.es, kilian.tutusaus@uneatlantico.es, juanluis.vidal@uneatlantico.es, yini.miro@uneatlantico.es, santiago.brie@uneatlantico.es, miguelangel.lopez@uneatlantico.es (2022) Evaluation of the Sustainable Development Goals in the Diagnosis and Prediction of the Sustainability of Projects Aimed at Local Communities in Latin America and the Caribbean. Applied Sciences, 12 (21). p. 11188. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Recently, the Internet of Medical Things (IoMT) could offload healthcare services to 5 G edge computing for low latency. However, some existing works assumed altruistic patients will sacrifice Quality of Service (QoS) for the global optimum. For priority-aware and deadline-sensitive healthcare, this sufficient and simplified assumption will undermine the engagement enthusiasm, i.e., unfairness. To address this issue, we propose a long-term proportional fairness-driven 5 G edge healthcare, i.e., FairHealth. First, we establish a long-term Nash bargaining game to model the service offloading, considering the stochastic demand and dynamic environment. We then design a Lyapunov-based proportional-fairness resource scheduling algorithm, which decouples the long-term fairness problem into single-slot sub-problems, realizing a trade-off between service stability and fairness. Moreover, we propose a block-coordinate descent method to iteratively solve non-convex fair sub-problems. Simulation results show that our scheme can improve 74.44% of the fairness index (i.e., Nash product), compared with the classic global time-optimal scheme. metadata Lin, Xi and Wu, Jun and Bashir, Ali Kashif and Yang, Wu and Singh, Aman and AlZubi, Ahmad Ali mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things. IEEE Transactions on Industrial Informatics. pp. 1-10. ISSN 1551-3203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The rapid expansion of Internet of Things (IoT) devices deploys various sensors in different applications like homes, cities and offices. IoT applications depend upon the accuracy of sensor data. So, it is necessary to predict faults in the sensor and isolate their cause. A novel primitive technique named fall curve is presented in this paper which characterizes sensor faults. This technique identifies the faulty sensor and determines the correct working of the sensor. Different sources of sensor faults are explained in detail whereas various faults that occurred in sensor nodes available in IoT devices are also presented in tabular form. Fault prediction in digital and analog sensors along with methods of sensor fault prediction are described. There are several advantages and disadvantages of sensor fault prediction methods and the fall curve technique. So, some solutions are provided to overcome the limitations of the fall curve technique. In this paper, a bibliometric analysis is carried out to visually analyze 63 papers fetched from the Scopus database for the past five years. Its novelty is to predict a fault before its occurrence by looking at the fall curve. The sensing of current flow in devices is important to prevent a major loss. So, the fall curves of ACS712 current sensors configured on different devices are drawn for predicting faulty or non-faulty devices. The analysis result proved that if any of the current sensors gets faulty, then the fall curve will differ and the value will immediately drop to zero. Various evaluation metrics for fault prediction are also described in this paper. At last, this paper also addresses some possible open research issues which are important to deal with false IoT sensor data. metadata Uppal, Mudita and Gupta, Deepali and Anand, Divya and S. Alharithi, Fahd and Almotiri, Jasem and Ortega-Mansilla, Arturo and Singh, Dinesh and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve. Computers, Materials & Continua, 72 (1). pp. 1799-1814. ISSN 1546-2226

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español Dado que la gestión de proyectos es generalmente estresante debido a sus innumerables actividades, una gestión de recursos humanos subjetiva de los proyectos conduce a grandes conflictos y tensiones. El trabajo científico anterior se ha centrado más en la gestión de proyectos para grandes empresas. Las opiniones de los expertos en gestión de proyectos son divergentes entre quienes se muestran escépticos sobre su vínculo con HRM y quienes sostienen que HRM es una palanca global para el éxito del proyecto. Este estudio tiene como objetivo enriquecer este debate centrándose en la existencia de un vínculo entre la gestión de recursos humanos y la gestión de proyectos PYME. La hipótesis general del estudio se basa en el principio de que las prácticas de GRH de las PYMES pueden traducirse en objetividad en los procedimientos de contratación, la relevancia de los sistemas retributivos, los rigores en las acciones formativas y el desarrollo de habilidades determinan los niveles de productividad organizacional. El diseño metodológico adoptado es la técnica de muestreo basada en deseos de administrar un cuestionario a una muestra de 87 partes interesadas en el estudio. Los resultados revelan que las prácticas de gestión de recursos humanos tienen vínculos significativos con la productividad de las pymes. Estos resultados podrían explicarse por las características específicas de la gestión de recursos humanos en las pymes. A modo de discusión, dado que se realizan pocos estudios sobre la gestión de proyectos PYME, ¿no deberían los futuros metodólogos dar protagonismo a la exploración de esta perspectiva de investigación? metadata Youmbi, Djiowou and Antoinette, Song mail herve.djiowou@doctorado.unini.edu.mx, UNSPECIFIED (2022) Gestión de proyectos empresariales en el eje de gestión de recursos humanos: impacto de las prácticas de gestión de recursos humanos en la productividad de las pymes agroalimentarias camerunesas. Project Design and Management, 4 (1). pp. 36-51. ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español La gestión de proyectos es una disciplina que influye en forma directa en el éxito o fracaso de cualquier proyecto, la industria del software no es la excepción. La currícula académica de las universidades se centra en brindar los conocimientos necesarios para que los estudiantes adquieran las competencias técnicas y metodológicas necesarias para lograr la correcta ejecución de un proyecto. Sin embargo, el énfasis en materias de gestión de proyectos, así como su práctica en proyectos reales presenta una dificultad adicional y por consiguiente una dedicación menor que el resto de las áreas de conocimiento. En este artículo se responde las siguientes preguntas de investigación: i) ¿Cuántas horas se dedican los estudiantes a la gestión de proyectos? y ii) ¿Las horas de gestión de proyectos se relacionan con la metodología aplicada? En este trabajo de investigación se utilizó un enfoque cuantitativo de carácter no experimental, donde se analizaron los datos provenientes de 349 proyectos de tesis de titulación universitaria de carreras de ciencias de la computación provenientes de dos universidades. Los proyectos analizados se centran en 3 metodologías de gestión: la propuesta por el Project Management Institute (PMI), una específica para proyectos de software y el framework SCRUM. Finalmente, en función de los resultados obtenidos se demuestra que en el contexto académico no existen diferencias considerables que relacionen el esfuerzo con la metodología aplicada y que el esfuerzo en tareas de gestión se ubica en el intervalo de entre 5% y 15% siendo consistente con la literatura presentada. metadata Uc Ríos, Carlos Eduardo and Rojas Sánchez, Miguel Ángel mail carlos.uc@unini.edu.mx, UNSPECIFIED (2022) Gestión de proyectos en tesis de titulación universitaria. Project Design and Management, 4 (1). ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español El Área Metropolitana de Misiones no cuenta con un adecuado tratamiento de residuos de construcción y demolición (RCD) por parte de los municipios que la integran, por lo que no alcanzan las bases del desarrollo sostenible. El objeto del artículo fue presentar un modelo para la cuantificación de RCD, desarrollando un caso de estudio correspondiente a la cimentación de 154 viviendas sociales ubicadas en el área de referencia mediante la aplicación del Método de Transferencias Ponderadas, la adopción de dicho método se basó en emplear distintas bases de costos de construcción y cuantificar los RCD que se espera generar en la obra, obteniendo la información de cada elemento, material del pliego y la planilla de cómputo, y el presupuesto del proyecto para luego organizarla según la codificación de la Lista Europea de Residuos. Finalmente, se aplicó el modelo matemático generado a partir del Método de Transferencias Ponderadas, lo que propicio convertir los recursos consumidos en volumen de residuos de hormigón, acero y tierra generados durante la cimentación de 154 viviendas sociales. Se concluyó que el modelo cumple las premisas del trabajo y que su aplicación permitirá apoyar la toma de decisiones respecto a la gestión de RCD. metadata Sambiasi, César Gabriel and Pascual Barrera, Alina Eugenia and Sambiasi, Ana María mail UNSPECIFIED, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Gestión sostenible de residuos de construcción en el Área Metropolitana de Misiones. Revista de Ciencia y Tecnología (37). pp. 40-51. ISSN 03298922

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Food and agriculture are significant aspects that can meet the food demand estimated by the Food Agriculture Organization (FAO) by 2050. In addition to this, the United Nations sustainable development goals recommended implementing sustainable practices to meet food demand to achieve sustainability. Currently, aquaponics is one of the sustainable practices that require less land and water and has a low environmental impact. Aquaponics is a closed-loop and soil-less method of farming, where it requires intensive monitoring, control, and management. The advancement of wireless sensors and communication protocols empowered to implementation of an Internet of Things- (IoT-) based system for real-time monitoring, control, and management in aquaponics. This study presents a review of the wireless technology implementation and progress in aquaponics. Based on the review, the study discusses the significant water and environmental parameters of aquaponics. Followed by this, the study presents the implementation of remote, IoT, and ML-based monitoring of aquaponics. Finally, the review presents the recommendations such as edge and fog-based vision nodes, machine learning models for prediction, LoRa-based sensor nodes, and gateway-based architecture that are beneficial for the enhancement of wireless aquaponics and also for real-time prediction in the future. metadata Gayam, Kiran Kumari and Jain, Anuj and Gehlot, Anita and Singh, Rajesh and Akram, Shaik Vaseem and Singh, Aman and Anand, Divya and Delgado Noya, Irene and Ahmad, Shafiq mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@unic.co.ao, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED (2022) Imperative Role of Automation and Wireless Technologies in Aquaponics Farming. Wireless Communications and Mobile Computing, 2022. pp. 1-13. ISSN 1530-8669

Article Subjects > Social Sciences
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Financial management is a critical aspect of firms, and entails the strategic planning, direction, and control of financial endeavors. Risk assessment, fraud detection, wealth management, online transactions, customized bond scheme, customer retention, virtual assistant and so on, are a few of the critical areas where Industry 4.0 technologies intervention are highly required for managing firms' finance. It has been identified from the previous studies that they are limited studies that have addressed the significance and application of integrating of Industry 4.0 technologies such as Internet of Things (IoT), cloud computing, big data, robotic process automation (RPA), artificial intelligence (AI), Blockchain, Digital twin, and Metaverse. With the motivation from the above aspects, this study aims to discuss the role of these technologies in the area of financial management of a firm. Based up on the analysis, it has been concluded that these technologies assist to credit risk management based on real-time data; financial data analytics of risk assessment, digital finance, digital auditing, fraud detection, and AI- and IoT- based virtual assistants. This study recommended that digital technologies be deeply integrated into the financial sector to improve service quality and accessibility, as well as the creation of innovative rules that allow for healthy competition among market participants. metadata Bisht, Deepa and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Singh, Aman and Caro Montero, Elisabeth and Priyadarshi, Neeraj and Twala, Bhekisipho mail UNSPECIFIED (2022) Imperative Role of Integrating Digitalization in the Firms Finance: A Technological Perspective. Electronics, 11 (19). p. 3252. ISSN 2079-9292

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Parkinson’s disease (PD) is a neurodegenerative disease that affects the neural, behavioral, and physiological systems of the brain. This disease is also known as tremor. The common symptoms of this disease are a slowness of movement known as ‘bradykinesia’, loss of automatic movements, speech/writing changes, and difficulty with walking at early stages. To solve these issues and to enhance the diagnostic process of PD, machine learning (ML) algorithms have been implemented for the categorization of subjective disease and healthy controls (HC) with comparable medical appearances. To provide a far-reaching outline of data modalities and artificial intelligence techniques that have been utilized in the analysis and diagnosis of PD, we conducted a literature analysis of research papers published up until 2022. A total of 112 research papers were included in this study, with an examination of their targets, data sources and different types of datasets, ML algorithms, and associated outcomes. The results showed that ML approaches and new biomarkers have a lot of promise for being used in clinical decision-making, resulting in a more systematic and informed diagnosis of PD. In this study, some major challenges were addressed along with a future recommendation metadata Rana, Arti and Dumka, Ankur and Singh, Rajesh and Panda, Manoj Kumar and Priyadarshi, Neeraj and Twala, Bhekisipho mail UNSPECIFIED (2022) Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations. Diagnostics, 12 (8). p. 2003. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés In Smart Cities’ applications, Multi-node cooperative spectrum sensing (CSS) can boost spectrum sensing efficiency in cognitive wireless networks (CWN), although there is a non-linear interaction among number of nodes and sensing efficiency. Cooperative sensing by nodes with low computational cost is not favorable to improving sensing reliability and diminishes spectrum sensing energy efficiency, which poses obstacles to the regular operation of CWN. To enhance the evaluation and interpretation of nodes and resolves the difficulty of sensor selection in cognitive sensor networks for energy-efficient spectrum sensing. We examined reducing energy usage in smart cities while substantially boosting spectrum detecting accuracy. In optimizing energy effectiveness in spectrum sensing while minimizing complexity, we use the energy detection for spectrum sensing and describe the challenge of sensor selection. This article proposed the algorithm for choosing the sensing nodes while reducing the energy utilization and improving the sensing efficiency. All the information regarding nodes is saved in the fusion center (FC) through which blockchain encrypts the information of nodes ensuring that a node’s trust value conforms to its own without any ambiguity, CWN-FC pick high-performance nodes to engage in CSS. The performance evaluation and computation results shows the comparison between various algorithms with the proposed approach which achieves 10% sensing efficiency in finding the solution for identification and triggering possibilities with the value of α=1.5 and γ=2.5 with the varying number of nodes. metadata Rani, Shalli and Babbar, Himanshi and Shah, Syed Hassan Ahmed and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) Improvement of energy conservation using blockchain-enabled cognitive wireless networks for smart cities. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés In today’s modern world, information and communication technologies are playing an active role in increasing the standards and quality of life for the betterment of human beings. Due to these technologies, people are now learning and experiencing new things very effectively and efficiently. With the implementation of information technology (IT)-based smart technologies in music education, learners can learn and create quality music. There is a need for the employment of information technology in music classrooms. Governments and institutions need to provide adequate resources to achieve its implementation. The traditional methods of learning are not capable of providing enough quality education to students. The present study focuses on the crucial role of information technology in the enhancement of music education. The advancements in modern technologies are expanding music education very rapidly and productively. To help learners with the use of an accurate technological method for learning purposes, various features have been identified from the existing literature. Based on these identified features, different IT-based procedures are ranked by the employment of analytic hierarchy process (AHP) and TOPSIS. The outcomes of the study demonstrated the efficacy of the approachesCorr. metadata Fu, Yi and Zhang, Mengjia and Nawaz, Muhammad and Ali, Muhammad and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) Information technology-based revolution in music education using AHP and TOPSIS. Soft Computing. ISSN 1432-7643

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés In December 2019, a group of people in Wuhan city of Hubei province of China were found to be affected by an infection called dark etiology pneumonia. The outbreak of this pneumonia infection was declared a deadly disease by the China Center for Disease Control and Prevention on January 9, 2020, named Novel Coronavirus 2019 (nCoV-2019). This nCoV-2019 is now known as COVID-19. There is a big list of infections of this coronavirus which is present in the form of a big family. This virus can cause several diseases that usually develop with a serious problem. According to the World Health Organization (WHO), 2019-nCoV has been placed as the modern generation of Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) coronaviruses, so COVID-19 can repeatedly change its internal genome structure to extend its existence. Understanding and accurately predicting the mutational properties of the genome structure of COVID-19 can form a good leadership role in preventing and fighting against coronavirus. In this research paper, an analytical approach has been presented which is based on the k-means cluster technique of machine learning to find the clusters over the mutational properties of the COVID-19 viruses’ complete genome. This method would be able to act as a promising tool to monitor and track pathogenic infections in their stable and local genetics/hereditary varieties. This paper identifies five main clusters of mutations with as best in most cases in the coronavirus that could help scientists and researchers develop disease control vaccines for the transformation of coronaviruses. metadata Dumka, Ankur and Verma, Parag and Singh, Rajesh and Bhardwaj, Anuj and Alsubhi, Khalid and Anand, Divya and Delgado Noya, Irene and Aparicio Obregón, Silvia mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, silvia.aparicio@uneatlantico.es (2022) Intelligent Approach for Clustering Mutations’ Nature of COVID-19 Genome. Computers, Materials & Continua, 72 (3). pp. 4453-4466. ISSN 1546-2226

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The present technological era significantly makes use of Internet-of-Things (IoT) devices for offering and implementing healthcare services. Post COVID-19, the future of the healthcare system is highly reliant upon the inculcation of Artificial-Intelligence (AI) mechanisms in its day-to-day procedures, and this is realized in its implementation using sensor-enabled smart and intelligent IoT devices for providing extensive care to patients relative to the symmetric concept. The offerings of such AI-enabled services include handling the huge amount of data processed and sensed by smart medical sensors without compromising the performance parameters, such as the response time, latency, availability, cost and processing time. This has resulted in a need to balance the load of the smart operational devices to avoid any failure of responsiveness. Thus, in this paper, a fog-based framework is proposed that can balance the load among fog nodes for handling the challenging communication and processing requirements of intelligent real-time applications. metadata Malik, Swati and Gupta, Kamali and Gupta, Deepali and Singh, Aman and Ibrahim, Muhammad and Ortega-Mansilla, Arturo and Goyal, Nitin and Hamam, Habib mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare. Electronics, 11 (4). p. 566. ISSN 2079-9292

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Mold breakout is one of the significant problems in a continuous casting machine (caster). It represents one of the key areas within the steel production facilities of a steel plant. A breakout event on a caster will always cause safety hazards, high repair costs, loss of production, and shutdown of the caster for a short while. In this paper, a logic-judgment-based mold breakout prediction system has been developed for a continuous casting machine. This system developed new algorithms to detect the different sticker behaviors. With more algorithms running, each algorithm is more specialized in the other behaviors of stickers. This new logic-based breakout prediction system (BOPS) not only detects sticker breakouts but also detects breakouts that takes place due to variations in casting speed, mold level fluctuation, and taper/mold problems. This system also finds the exact location of the breakout in the mold and reduces the number of false alarms. The task of the system is to recognize a sticker and prevent a breakout. Moreover, the breakout prediction system uses an online thermal map of the mold for process visualization and assisting breakout prediction. This is done by alerting the operating staff or automatically reducing the cast speed according to the location of alarmed thermocouples, the type of steel, the tundish temperature, and the size of the cold slab width. By applying the proposed model in an actual steel plant, field application results show that it could timely detect all 13 breakouts with a detection ratio of 100%, and the frequency of false alarms was less than 0.056% times/heat. It has the additional advantage of not needing a lot of learning data, as most neural networks do. Thus, this new logical BOPS system should not only detect the sticker breakouts but also detect breakouts taking place due to variations in casting speed and mold level fluctuation. metadata Ansari, Md Obaidullah and Ghose, Joyjeet and Chattopadhyaya, Somnath and Ghosh, Debasree and Sharma, Shubham and Sharma, Prashant and Kumar, Abhinav and Li, Changhe and Singh, Rajesh and Eldin, Sayed M. mail UNSPECIFIED (2022) An Intelligent Logic-Based Mold Breakout Prediction System Algorithm for the Continuous Casting Process of Steel: A Novel Study. Micromachines, 13 (12). p. 2148. ISSN 2072-666X

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés This paper presents the design, development, and testing of an IoT-enabled smart stick for visually impaired people to navigate the outside environment with the ability to detect and warn about obstacles. The proposed design employs ultrasonic sensors for obstacle detection, a water sensor for sensing the puddles and wet surfaces in the user’s path, and a high-definition video camera integrated with object recognition. Furthermore, the user is signaled about various hindrances and objects using voice feedback through earphones after accurately detecting and identifying objects. The proposed smart stick has two modes; one uses ultrasonic sensors for detection and feedback through vibration motors to inform about the direction of the obstacle, and the second mode is the detection and recognition of obstacles and providing voice feedback. The proposed system allows for switching between the two modes depending on the environment and personal preference. Moreover, the latitude/longitude values of the user are captured and uploaded to the IoT platform for effective tracking via global positioning system (GPS)/global system for mobile communication (GSM) modules, which enable the live location of the user/stick to be monitored on the IoT dashboard. A panic button is also provided for emergency assistance by generating a request signal in the form of an SMS containing a Google maps link generated with latitude and longitude coordinates and sent through an IoT-enabled environment. The smart stick has been designed to be lightweight, waterproof, size adjustable, and has long battery life. The overall design ensures energy efficiency, portability, stability, ease of access, and robust features. metadata Farooq, Muhammad Siddique and Shafi, Imran and Khan, Harris and Díez, Isabel De La Torre and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition. Sensors, 22 (22). p. 8914. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Education 4.0 imitates Industry 4.0 in many aspects such as technology, customs, challenges, and benefits. The remarkable advancement in embryonic technologies, including IoT (Internet of Things), Fog Computing, Cloud Computing, and Augmented and Virtual Reality (AR/VR), polishes every dimension of Industry 4.0. The constructive impacts of Industry 4.0 are also replicated in Education 4.0. Real-time assessment, irregularity detection, and alert generation are some of the leading necessities of Education 4.0. Conspicuously, this study proposes a reliable assessment, irregularity detection, and alert generation framework for Education 4.0. The proposed framework correspondingly addresses the comparable issues of Industry 4.0. The proposed study (1) recommends the use of IoT, Fog, and Cloud Computing, i.e., IFC technological integration for the implementation of Education 4.0. Subsequently, (2) the Symbolic Aggregation Approximation (SAX), Kalman Filter, and Learning Bayesian Network (LBN) are deployed for data pre-processing and classification. Further, (3) the assessment, irregularity detection, and alert generation are accomplished over SoTL (the set of threshold limits) and the Multi-Layered Bi-Directional Long Short-Term Memory (M-Bi-LSTM)-based predictive model. To substantiate the proposed framework, experimental simulations are implemented. The experimental outcomes substantiate the better performance of the proposed framework, in contrast to the other contemporary technologies deployed for the enactment of Education 4.0 metadata Verma, Anil and Anand, Divya and Singh, Aman and Vij, Rishika and Alharbi, Abdullah and Alshammari, Majid and Ortega-Mansilla, Arturo mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es (2022) IoT-Inspired Reliable Irregularity-Detection Framework for Education 4.0 and Industry 4.0. Electronics, 11 (9). p. 1436. ISSN 2079-9292

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production
Europe University of Atlantic > Research > Scientific Production
Abierto Inglés Remarkable progress in the Internet of Things (IoT) and the requirements in the Industrial era have raised new constraints of industrial data where huge data are gathered by heterogeneous devices. Recently, Industry 4.0 has attracted attention in various fields of industries such as medicines, automobiles, logistics, etc. However, every field is suffering from some threats and vulnerabilities. In this paper, a new model is proposed for detecting different types of attacks and it is analyzed with a deep learning technique, i.e., classifier-Convolution Neural Network and Long Short-Term Memory. The UNSW NB 15 dataset is used for the classification of various attacks in the field of Industry 4.0 for providing security and protection to the different types of sensors used for heterogeneous data. The proposed model achieves the results using Cortex processors, a 1.2 GHz processor, and four gigabytes of RAM. The attack detection model is written in Python 3.8.8 and Keras. Keras constructs the model using layers of Convolutional, Max Pooling, and Dense Layers. The model is trained using 250 batch size, 60 epochs, 10 classes. For this model, the activation functions are Relu and softmax pooling. metadata Anand, Ankita and Rani, Shalli and Singh, Aman and Elkamchouchi, Dalia H. and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) Lightweight Hybrid Deep Learning Architecture and Model for Security in IIOT. Applied Sciences, 12 (13). p. 6442. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés 5G has been launched in a few countries of the world, so now all focus shifted towards the development of future 6G networks. 5G has connected all aspects of society. Ubiquitous connectivity has opened the doors for more data sharing. Although 5G is providing low latency, higher data rates, and high-speed yet there are some security-related vulnerabilities. Those security issues need to be mitigated for securing 6G networks from existing challenges. Classical cryptography will not remain enough for securing the 6G network. As all classical cryptography can be disabled with the help of quantum mechanics. Therefore, in the place of traditional security solutions, in this article, we have reviewed all the existing quantum solutions of 5G existing security issues to mitigate them and secure 6G in a Future Quantum World. metadata Mangla, Cherry and Rani, Shalli and Faseeh Qureshi, Nawab Muhammad and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) Mitigating 5G security challenges for next-gen industry using quantum computing. Journal of King Saud University - Computer and Information Sciences. ISSN 13191578

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Español La cuenca del Río Grande de Loíza de Puerto Rico es la más grande de la isla, compuesta por 15 subcuencas. Estos ríos están contaminados con patógenos relacionados a las Comunidades Sin Alcantarillado Sanitario denominadas ComSAS, que utilizan pozos sépticos defectuosos o descargas directas a los cuerpos de agua. La Agencia Federal de Protección Ambiental la describe como la de mayor prioridad de atención. La investigación plantea el objetivo de elaborar un modelo geoespacial para incorporarse al proceso de cumplimiento de la ley de agua limpia. Incluye el diseño de una metodología ad hoc, que selecciona los factores ambientales y establece los parámetros para priorizar las áreas por nivel y tipo de riesgo. El análisis multicriterio incorporó las capas de información geográficas que incluyen estructuras/km2, la cercanía a los ríos, la clasificación de uso de terrenos, y la presencia de suelos hídricos con grupos hidrológicos tipo D. El resultado generó la capa de información geográfica que identifica el 27 % del área de estudio como alto y muy alto riesgo. Las agencias estatales y federales pueden podrán incorporar esta herramienta de innovación en el proceso de toma de decisiones para evaluar de forma rápida las comunidades de alto riesgo metadata Fernández Valencia, María de Lourdes and Rivera Rivas, María del Carmen mail UNSPECIFIED, maricarmen.rivera@unib.org (2022) Modelo geoespacial para priorizar los factores de riesgo ambiental de las comunidades sin alcantarillado sanitario en la cuenca del Río Grande de Loíza en Puerto Rico. Revista Umbral, 1 (18). pp. 183-209. ISSN 2 1 5 1 - 8 3 8 6

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Electroporation is a next generation bioelectronics device. The emerging application of electroporation requires high voltage pulses having a pulse-width in the nanosecond range. The essential use of a capacitor results in an increase in the size of the electroporator circuit. This paper discusses the modification of a conventional Marx generator circuit to achieve the high voltage electroporation pulses with a minimal chip size of the circuit. The reduced capacitors are attributed to a reduction in the number of stages used to achieve the required voltage boost. The paper proposes the improved isolation between two capacitors with the usage of optocouplers. Parametric analysis is presented to define the tuneable range of the electroporator circuit. The output voltage of 49.4 V is achieved using the proposed 5-stage MOSFET circuit with an input voltage of 12 V. metadata Ganesan, Selvakumar and Ghosh, Debarshi and Taneja, Ashu and Saluja, Nitin and Rani, Shalli and Singh, Aman and Elkamchouchi, Dalia H. and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) A Modified Marx Generator Circuit with Enhanced Tradeoff between Voltage and Pulse Width for Electroporation Applications. Electronics, 11 (13). p. 2013. ISSN 2079-9292

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The world population is on the rise, which demands higher food production. The reduction in the amount of land under cultivation due to urbanization makes this more challenging. The solution to this problem lies in the artificial cultivation of crops. IoT and sensors play an important role in optimizing the artificial cultivation of crops. The selection of sensors is important in order to ensure a better quality and yield in an automated artificial environment. There are many challenges involved in selecting sensors due to the highly competitive market. This paper provides a novel approach to sensor selection for saffron cultivation in an IoT-based environment. The crop used in this study is saffron due to the reason that much less research has been conducted on its hydroponic cultivation using sensors and its huge economic impact. A detailed hardware-based framework, the growth cycle of the crop, along with all the sensors, and the block layout used for saffron cultivation in a hydroponic medium are provided. The important parameters for a hydroponic medium, such as the concentration of nutrients and flow rate required, are discussed in detail. This paper is the first of its kind to explain the sensor configurations, performance metrics, and sensor-based saffron cultivation model. The paper discusses different metrics related to the selection, use and role of sensors in different IoT-based saffron cultivation practices. A smart hydroponic setup for saffron cultivation is proposed. The results of the model are evaluated using the AquaCrop simulator. The simulator is used to evaluate the value of performance metrics such as the yield, harvest index, water productivity, and biomass. The values obtained provide better results as compared to natural cultivation. metadata Kour, Kanwalpreet and Gupta, Deepali and Gupta, Kamali and Anand, Divya and Elkamchouchi, Dalia H. and Mazas Pérez-Oleaga, Cristina and Ibrahim, Muhammad and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, cristina.mazas@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Monitoring Ambient Parameters in the IoT Precision Agriculture Scenario: An Approach to Sensor Selection and Hydroponic Saffron Cultivation. Sensors, 22 (22). p. 8905. ISSN 1424-8220

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés In Wireless Sensor Networks (WSNs), routing algorithms can provide energy efficiency. However, due to unbalanced energy consumption for all nodes, the network lifetime is still prone to degradation. Hence, energy efficient routing was developed in this article by selecting cluster heads (CH) with the help of adaptive whale optimization (AWOA) which was used to reduce time-consumption delays. The multi-objective function was developed for CH selection. The clusters were then created using the distance function. After establishing groupings, the supercluster head (SCH) was selected using the benefit of a fuzzy inference system (FIS) which was used to collect data for all CHs and send them to the base station (BS). Finally, for the data-transfer procedure, hop count routing was used. An Oppositional-based Whale optimization algorithm (OWOA) was developed for multi-constrained QoS routing with the help of AWOA. The performance of the proposed OWOA methodology was analyzed according to the following metrics: delay, delivery ratio, energy, NLT, and throughput and compared with conventional techniques such as particle swarm optimization, genetic algorithm, and Whale optimization algorithm metadata Bali, Himani and Gill, Amandeep and Choudhary, Abhilasha and Anand, Divya and Alharithi, Fahd S. and Aldossary, Sultan M. and Vidal Mazón, Juan Luis mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es (2022) Multi-Objective Energy Efficient Adaptive Whale Optimization Based Routing for Wireless Sensor Network. Energies, 15 (14). p. 5237. ISSN 1996-1073

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Mobility and low energy consumption are considered the main requirements for wireless body area sensor networks (WBASN) used in healthcare monitoring systems (HMS). In HMS, battery-powered sensor nodes with limited energy are used to obtain vital statistics about the body. Hence, energy-efficient schemes are desired to maintain long-term and steady connectivity of the sensor nodes. A sheer amount of energy is consumed in activities such as idle listening, excessive transmission and reception of control messages, packet collisions and retransmission of packets, and poor path selection, that may lead to more energy consumption. A combination of adaptive scheduling with an energy-efficient protocol can help select an appropriate path at a suitable time to minimize the control overhead, energy consumption, packet collision, and excessive idle listening. This paper proposes a region-based energy-efficient multipath routing (REMR) approach that divides the entire sensor network into clusters with preferably multiple candidates to represent each cluster. The cluster representatives (CRs) route packets through various clusters. For routing, the energy requirement of each route is considered, and the path with minimum energy requirements is selected. Similarly, end-to-end delay, higher throughput, and packet-delivery ratio are considered for packet routing. metadata Akbar, Shuja and Mehdi, Muhammad Mohsin and Jamal, M. Hasan and Raza, Imran and Hussain, Syed Asad and Breñosa, Jose and Martínez Espinosa, Julio César and Pascual Barrera, Alina Eugenia and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring. Healthcare, 10 (11). p. 2297. ISSN 2227-9032

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés This is an effort to analyze the reaction of stock prices of Indian public and private banks listed in NSE and BSE to the announcement of seven best case news events. Several recent studies have analyzed the correlation between stock prices and news announcements; however, there is no evidence on how private and public sector Indian bank stocks react to important news events independently. We examine these features by concentrating on a sample of banking and government news events. We classify these news events to create a group of negative and a group of positive tone of announcements (sentiments). The statistical results show that the negative banking news announcements had a one-month impact on private banks, with statistically significant negative mean CARs. However, with highly statistically substantial negative mean CARs, the influence of the negative banking news announcements on public banks was observed for two months after the news was published. Furthermore, the influence of the positive banking news on private banks persisted a month after the news was published. Positive banking news events had an influence on public banks for five days after they were published. The study concludes that public bank stocks react more to negative news announcements than positive news announcements in the same manner as the sentimental polarity of the news announcements as compared to private bank stocks. First, we retrieved the news articles published in prominent online financial news portals between 2017 and 2020, and the seven major news events were extracted and classified using multi-class text classification. The Random Forest classifier produced a significant accuracy of 94% with pre-trained embeddings of DistilBERT, a neural network model, which outperformed the traditional feature representation technique, TF-IDF. The training data for the classifier were balanced using the SMOTE sampling technique metadata Dogra, Varun and Alharithi, Fahd S. and Álvarez, Roberto Marcelo and Singh, Aman and Qahtani, Abdulrahman M. mail UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, aman.singh@uneatlantico.es, UNSPECIFIED (2022) NLP-Based Application for Analyzing Private and Public Banks Stocks Reaction to News Events in the Indian Stock Exchange. Systems, 10 (6). p. 233. ISSN 2079-8954

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Coronavirus (COVID-19) has impacted nearly every person across the globe either in terms of losses of life or as of lockdown. The current coronavirus (COVID-19) pandemic is a rare/special situation where people can express their feelings on Internet-based social networks. Social media is emerging as the biggest platform in recent years where people spend most of their time expressing themselves and their emotions. This research is based on gathering data from Twitter and analyzing the behavior of the people during the COVID-19 lockdown. The research is based on the logic expressed by people in this perspective and emotions for the suffering of COVID-19 and lockdown. In this research, we have used a Long Short-Term Memory (LSTM) network model with Convolutional Neural Network using Keras python deep-learning library to determine whether social media platform users are depressed in terms of positive, negative, or neutral emotional out bust based on their Twitter posts. The results showed that the model has 88.14% accuracy (representation of the correct prediction over the test dataset) after 10 epochs which most tweets showed had neutral polarity. The evaluation shows interesting results in positive (1), negative (–1), and neutral (0) emotions through different visualization. metadata Dumka, Ankur and Verma, Parag and Singh, Rajesh and Kumar Bisht, Anil and Anand, Divya and Moaiteq Aljahdali, Hani and Delgado Noya, Irene and Aparicio Obregón, Silvia mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es, silvia.aparicio@uneatlantico.es (2022) A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis. Computers, Materials & Continua, 72 (3). pp. 6029-6044. ISSN 1546-2226

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Traditional optimization of open pit mine design is a crucial component of mining endeavors and is influenced by many variables. The critical factor in optimization is the geological uncertainty, which relates to the ore grade. To deal with uncertainties related to the block economic values of mining blocks and the general problem of mine design optimization, under unknown conditions, the best ultimate pit limits and pushback designs are produced by a minimum cut algorithm. The push–relabel minimal cut algorithm provides a framework for computationally efficient representation and processing of the economic values of mining blocks under multiple scenarios. A sequential Gaussian simulation-based smoothing spline technique was created. To produce pushbacks, an efficient parameterized minimum cut algorithm is suggested. An analysis of Indian iron ore mining was performed. The developed mine scheduling algorithm was compared with the conventional algorithm, and the results show that when uncertainty is considered, the cumulative metal production is higher and there is an additional increase of about 5% in net present value. The results of this work help the mining industry to plan mines in such a way that can generate maximum profit from the deposits. metadata Joshi, Devendra and Chithaluru, Premkumar and Singh, Aman and Yadav, Arvind and Elkamchouchi, Dalia H. and Mazas Pérez-Oleaga, Cristina and Anand, Divya mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, divya.anand@uneatlantico.es (2022) A Novel Large-Scale Stochastic Pushback Design Merged with a Minimum Cut Algorithm for Open Pit Mine Production Scheduling. Systems, 10 (5). p. 159. ISSN 2079-8954

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Pneumonia is one of the leading causes of death in both infants and elderly people, with approximately 4 million deaths each year. It may be a virus, bacterial, or fungal, depending on the contagious pathogen that damages the lung’s tiny air sacs (alveoli). Patients with underlying disorders such as asthma, a weakened immune system, hospitalized babies, and older persons on ventilators are all at risk, particularly if pneumonia is not detected early. Despite the existing approaches for its diagnosis, low accuracy and efficiency require further research for more accurate systems. This study is a similar endeavor for the detection of pneumonia by the use of X-ray images. The dataset is preprocessed to make it suitable for transfer learning tasks. Different pre-trained convolutional neural network (CNN) variants are utilized, including VGG16, Inception-v3, and ResNet50. Ensembles are made by incorporating CNN with Inception-V3, VGG-16, and ResNet50. Besides the common evaluation metrics, the performance of the pre-trained and ensemble deep learning models is measured with Cohen’s kappa as well as the area under the curve (AUC). Experimental results show that Inception-V3 with CNN attained the highest accuracy and recall score of 99.29% and 99.73%, respectively metadata Mujahid, Muhammad and Rustam, Furqan and Álvarez, Roberto Marcelo and Vidal Mazón, Juan Luis and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network. Diagnostics, 12 (5). p. 1280. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés β-Thalassemia is one of the dangerous causes of the high mortality rate in the Mediterranean countries. Substantial resources are required to save a β-Thalassemia carriers’ life and early detection of thalassemia patients can help appropriate treatment to increase the carrier’s life expectancy. Being a genetic disease, it can not be prevented however the analysis of several indicators in parents’ blood can be used to detect disorders causing Thalassemia. Laboratory tests for Thalassemia are time-consuming and expensive like high-performance liquid chromatography, Complete Blood Count (CBC) with peripheral smear, genetic test, etc. Red blood indices from CBC can be used with machine learning models for the same task. Despite the available approaches for Thalassemia carriers from CBC data, gaps exist between the desired and achieved accuracy. Moreover, the data imbalance problem is studied well which makes the models less generalizable. This study proposes a highly accurate approach for β-Thalassemia detection using red blood indices from CBC augmented by supervised machine learning. In view of the fact that all the features do not carry predictive information regarding the target variable, this study employs a unified framework of two features selection techniques including Principal Component Analysis (PCA) and Singular Vector Decomposition (SVD). The data imbalance between β-Thalassemia carrier and non-carriers is handled by Synthetic Minority Oversampling Technique (SMOTE) and Adaptive Synthetic (ADASYN). Extensive experiments are performed using many state-of-the-art machine learning models and deep learning models. Experimental results indicate the superiority of the proposed approach over existing approaches with an accuracy score of 0.96. metadata Rustam, Furqan and Ashraf, Imran and Jabbar, Shehbaz and Tutusaus, Kilian and Mazas Pérez-Oleaga, Cristina and Pascual Barrera, Alina Eugenia and de la Torre Diez, Isabel mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, cristina.mazas@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Prediction β-Thalassemia carriers using complete blood count features. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español El trabajo realizado presentó como principal aporte una propuesta para la evaluación del grado de interactividad en los objetos virtuales de aprendizaje (OVA), lo cual permitió un acercamiento a la estandarización en el diseño y será un aporte sobre cómo deberán ser diseñados si se espera de ellos algún grado de interactividad, estableciendo siete aspectos necesarios en el diseño, los cuales fueron usados como referencias para proponer una forma práctica en la valoración y categorización de estos. También, se hizo un aporte para comprender la interactividad de los OVA, puesto que esta se confunde con el impacto visual; en esta propuesta se relacionaron temáticas de avanzada en el diseño, tales como los estímulos supernormales. Así mismo, se propusieron unos modos de estudio que se incluyeron en el diseño del OVA, generando así, por parte del autor, un aporte en las caracterizaciones, reconocimientos y diferenciaciones, en función de los niveles de interactividad, siendo de utilidad a las entidades educativas en la modalidad virtual. Por último, el resultado más importante fue proporcionar claridad acerca de cómo puede ser evaluada la interactividad en los OVA. metadata Guevara Calume, Roberto Carlos and Uc-Rios, Carlos and Yarce Marín, Yuli Gabriela mail UNSPECIFIED, carlos.uc@unini.edu.mx, UNSPECIFIED (2022) Propuesta para la clasificación de los objetos virtuales de aprendizaje interactivos. Revista Virtual Universidad Católica del Norte (66). pp. 213-242. ISSN 0124-5821

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Wearable monitoring devices are in demand in recent times for monitoring daily activities including exercise. Moreover, it is widely utilizing for preventing injuries of athletes during a practice session and in few cases, it leads to muscle fatigue. At present, emerging technology like the internet of things (IoT) and sensors is empowering to monitor and visualize the physical data from any remote location through internet connectivity. In this study, an IoT-enabled wearable device is proposing for monitoring and identifying the muscle fatigue condition using a surface electromyogram (sEMG) sensor. Normally, the EMG signal is utilized to display muscle activity. Arduino controller, Wi-Fi module, and EMG sensor are utilized in developing the wearable device. The Time-frequency domain spectrum technique is employed for classifying the three muscle fatigue conditions including mean RMS, mean frequency, etc. A real-time experiment is realized on six different individuals with developed wearable devices and the average RMS value assists to determine the average threshold of recorded data. The threshold level is analyzed by calculating the mean RMS value and concluded three fatigue conditions as >2 V: Extensive); 1–2 V: Moderate, and <1 V: relaxed. The warning alarm system was designed in LabVIEW with three color LEDs to indicate the different states of muscle fatigue. Moreover, the device is interfaced with the cloud through the internet provided with a Wi-Fi module embedded in wearable devices. The data available in the cloud server can be utilized for forecasting the frequency of an individual to muscle fatigue. metadata Gehlot, Anita and Singh, Rajesh and Siwach, Sweety and Vaseem Akram, Shaik and Alsubhi, Khalid and Singh, Aman and Delgado Noya, Irene and Choudhury, Sushabhan mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED (2022) Real Time Monitoring of Muscle Fatigue with IoT and Wearable Devices. Computers, Materials & Continua, 72 (1). pp. 999-1015. ISSN 1546-2226

Article Subjects > Engineering Universidad Internacional do Cuanza > Research > Scientific Production
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Deep learning is used to address a wide range of challenging issues including large data analysis, image processing, object detection, and autonomous control. In the same way, deep learning techniques are also used to develop software and techniques that pose a danger to privacy, democracy, and national security. Fake content in the form of images and videos using digital manipulation with artificial intelligence (AI) approaches has become widespread during the past few years. Deepfakes, in the form of audio, images, and videos, have become a major concern during the past few years. Complemented by artificial intelligence, deepfakes swap the face of one person with the other and generate hyper-realistic videos. Accompanying the speed of social media, deepfakes can immediately reach millions of people and can be very dangerous to make fake news, hoaxes, and fraud. Besides the well-known movie stars, politicians have been victims of deepfakes in the past, especially US presidents Barak Obama and Donald Trump, however, the public at large can be the target of deepfakes. To overcome the challenge of deepfake identification and mitigate its impact, large efforts have been carried out to devise novel methods to detect face manipulation. This study also discusses how to counter the threats from deepfake technology and alleviate its impact. The outcomes recommend that despite a serious threat to society, business, and political institutions, they can be combated through appropriate policies, regulation, individual actions, training, and education. In addition, the evolution of technology is desired for deepfake identification, content authentication, and deepfake prevention. Different studies have performed deepfake detection using machine learning and deep learning techniques such as support vector machine, random forest, multilayer perceptron, k-nearest neighbors, convolutional neural networks with and without long short-term memory, and other similar models. This study aims to highlight the recent research in deepfake images and video detection, such as deepfake creation, various detection algorithms on self-made datasets, and existing benchmark datasets. metadata Shahzad, Hina Fatima and Rustam, Furqan and Soriano Flores, Emmanuel and Vidal Mazón, Juan Luis and de la Torre Diez, Isabel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) A Review of Image Processing Techniques for Deepfakes. Sensors, 22 (12). p. 4556. ISSN 1424-8220

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés The proper verification of users plays a vital role during communication over a social network to protect the personal data of users. Multifarious protocols have been implemented to secure the confidential data of the users, but these protocols have various limitations and are incapable of providing secrecy of data against various attacks, such as replay and cryptanalysis attacks. In this article, the authors proposed a novel method for security verification of the social network model using an improved three-party authenticated key exchange (3PAKE) protocol based on symmetric encryption and (ECC) elliptic curve cryptography. The outcome of the paper demonstrates that our proposed algorithm provides the desired secrecy to the confidential data exchange over social networks in real-time and consumes less time in comparison to existing protocols. Our protocol consumes a search time of 0.09 s, overall communication steps took 2 during the verification, and depth plies was 3 along with 20 visited nodes. The 3PAKE protocol has been considered a suitable approach for social network secrecy during information exchange between user and server, thereby providing greater secrecy to the user in data exchange over social networks and more robustness against multifarious known attacks, such as cryptanalysis and replay attacks in real-time metadata Sinha, Vivek Kumar and Anand, Divya and Kaur, Sandeep and Singh, Pankaj and Delgado Noya, Irene mail UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) Security Verification of Social Network Model Using Improved Three-Party Authenticated Key Exchange Protocol. Symmetry, 14 (8). p. 1567. ISSN 2073-8994

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés One of the toughest biometrics and document forensics problems is confirming a signature’s authenticity and legal identity. A forgery may vary from a genuine signature by specific distortions. Therefore, it is necessary to continuously monitor crucial distinctions between real and forged signatures for secure work and economic growth, but this is particularly difficult in writer-independent tasks. We thus propose an innovative and sustainable writer-independent approach based on a Siamese neural network for offline signature verification. The Siamese network is a twin-like structure with shared weights and parameters. Similar and dissimilar images are exposed to this network, and the Euclidean distances between them are calculated. The distance is reduced for identical signatures, and the distance is increased for different signatures. Three datasets, namely GPDS, BHsig260 Hindi, and BHsig260 Bengali datasets, were tested in this work. The proposed model was analyzed by comparing the results of different parameters such as optimizers, batch size, and the number of epochs on all three datasets. The proposed Siamese neural network outperforms the GPDS synthetic dataset in the English language, with an accuracy of 92%. It also performs well for the Hindi and Bengali datasets while considering skilled forgeries metadata Sharma, Neha and Gupta, Sheifali and Mohamed, Heba G. and Anand, Divya and Vidal Mazón, Juan Luis and Gupta, Deepali and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Siamese Convolutional Neural Network-Based Twin Structure Model for Independent Offline Signature Verification. Sustainability, 14 (18). p. 11484. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Smart vehicle parking is a collaborative effort of technology and human innovation where the efforts are to be minimized to save time and efforts. In smart cities it is one of the common challenges to introduce smart parking to increase parking efficiency and combat numerous issues like identification of free parking slot and real-time dynamic updation on traffic to save fuel and energy. In this work, a new cloud-based smart parking architecture is proposed that can help in predicting the available free parking slots in smart cities. Initially, the methodology collects the car count at any near by parking using Internet of Things (IoT) and Cloud-based approach. Later, the approach uses the Kernel Least Mean Square algorithm to make heuristic predictions about future vacancy using auto-regression. The proposed approach thus utilizes the online learning or model training. To validate the efficacy of the proposed work, the testing is done on the real-time dataset. The extensive numerical investigation is performed on parking lots of four international airports of a smart city in actual deployment scenarios. The experimentation has revealed superior performance of the method in terms of vacancy prediction. metadata Anand, Divya and Singh, Aman and Alsubhi, Khalid and Goyal, Nitin and Abdrabou, Atef and Vidyarthi, Ankit and Rodrigues, Joel J. P. C. mail divya.anand@uneatlantico.es, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) A Smart Cloud and IoVT-Based Kernel Adaptive Filtering Framework for Parking Prediction. IEEE Transactions on Intelligent Transportation Systems. pp. 1-9. ISSN 1524-9050

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Conventional outage management practices in distribution systems are tedious and complex due to the long time taken to locate the fault. Emerging smart technologies and various cloud services offered could be utilized and integrated into the power industry to enhance the overall process, especially in the fault monitoring and normalizing fields in distribution systems. This paper introduces smart fault monitoring and normalizing technologies in distribution systems by using one of the most popular cloud service platforms, the Microsoft Azure Internet of Things (IoT) Hub, together with some of the related services. A hardware prototype was constructed based on part of a real underground distribution system network, and the fault monitoring and normalizing techniques were integrated to form a system. Such a system with IoT integration effectively reduces the power outage experienced by customers in the healthy section of the faulted feeder from approximately 1 h to less than 5 min and is able to improve the System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) in electric utility companies significantly metadata Peter, Geno and Stonier, Albert Alexander and Gupta, Punit and Gavilanes, Daniel and Masías Vergara, Manuel and Lung sin, Jong mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, manuel.masias@uneatlantico.es, UNSPECIFIED (2022) Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT. Energies, 15 (21). p. 8206. ISSN 1996-1073

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Guayaquil, Ecuador, is in a tropical area on the equatorial Pacific Ocean coast of South America. Since 2008 the city has been increasing its population, vehicle fleet and manufacturing industries. Within the city there are various industrial and urban land uses sharing the same space. With regard to air quality there is a lack of government information on it. Therefore, the research’s aim was to investigate the spatio-temporal characteristics of PM1 and PM2.5 concentrations and their main influencing factors. For this, both PM fractions were sampled and a bivariate analysis (cross-correlation and Pearson's correlation), multivariate linear and logistic regression analysis was applied. Hourly and daily PM1 and PM2.5 were the dependent variables, and meteorological variables, occurrence of events and characteristics of land use were the independent variables. We found 48% exceedances of the PM2.5-24 h World Health Organization 2021 threshold’s, which questions the city’s air quality. The cross-correlation function and Pearson’s correlation analysis indicate that hourly and daily temperature, relative humidity, and wind speed have a complex nonlinear relationship with PM concentrations. Multivariate linear and logistic regression models for PM1-24 h showed that rain and the flat orography of cement plant sector decrease concentrations; while unusual PM emission events (traffic jams and vegetation-fires) increase them. The same models for PM2.5-24 h show that the dry season and the industrial sector (strong activity) increase the concentration of PM2.5-24 h, and the cement plant decrease them. Public policies and interventions should aim to regulate land uses while continuously monitoring emission sources, both regular and unusual. metadata Rincon Polo, Gladys and Morantes, Giobertti and Roa-López, Heydi and Cornejo-Rodriguez, Maria del Pilar and Jones, Benjamin and Cremades, Lázaro V. mail UNSPECIFIED (2022) Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador. Stochastic Environmental Research and Risk Assessment. ISSN 1436-3240

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Rivers play a major role within ecosystems and society, including for domestic, industrial, and agricultural uses, and in power generation. Forecasting of suspended sediment yield (SSY) is critical for design, management, planning, and disaster prevention in river basin systems. It is difficult to forecast the SSY using conventional methods because these approaches cannot handle complicated non-stationarity and non-linearity. Artificial intelligence techniques have gained popularity in water resources due to handling complex problems of SSY. In this study, a fully automated generalized single hybrid intelligent artificial neural network (ANN)-based genetic algorithm (GA) forecasting model was developed using water discharge, temperature, rainfall, SSY, rock type, relief, and catchment area data of eleven gauging stations for forecasting the SSY. It is applied at individual gauging stations for SSY forecasting in the Mahanadi River which is one of India’s largest peninsular rivers. All parameters of the ANN are optimized automatically and simultaneously using the GA. The multi-objective algorithm was applied to optimize the two conflicting objective functions (error variance and bias). The mean square error objective function was considered for the single-objective optimization model. Single and multi-objective GA-based ANN, autoregressive and multivariate autoregressive models were compared to each other. It was found that the single-objective GA-based ANN model provided the best accuracy among all comparative models, and it is the most suitable substitute for forecasting SSY. If the measurement of SSY is unavailable, then single-objective GA-based ANN modeling approaches can be recommended for forecasting SSY due to comparatively superior performance and simplicity of implementation metadata Yadav, Arvind and Chithaluru, Premkumar and Singh, Aman and Albahar, Marwan Ali and Jurcut, Anca and Álvarez, Roberto Marcelo and Mojjada, Ramesh Kumar and Joshi, Devendra mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Suspended Sediment Yield Forecasting with Single and Multi-Objective Optimization Using Hybrid Artificial Intelligence Models. Mathematics, 10 (22). p. 4263. ISSN 2227-7390

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Herbal medicine and nutritional supplements are suggested to treat premenstrual somatic and psycho-behavioural symptoms in clinical guidelines; nonetheless, this is at present based on poor-quality trial evidence. Hence, we aimed to design a systematic review and meta-analysis for their effectiveness in alleviating premenstrual symptoms. The published randomized controlled trials (RCTs) were extracted from Google scholar, PubMed, Scopus and PROSPERO databases. The risk of bias in randomized trials was assessed by Cochrane risk-of-bias tool. The main outcome parameters were analysed separately based on the Premenstrual Symptom Screening Tool and PMTS and DRSP scores. Secondary parameters of somatic, psychological, and behavioural subscale symptoms of PSST were also analysed. Data synthesis was performed assuming a random-effects model, and standardized mean difference (SMDs) was analysed using SPSS version 28.0.0 (IBM, Armonk, NY, USA). A total of 754 articles were screened, and 15 RCTs were included (n = 1211 patients). Primary results for participants randomized to an intervention reported reduced PSST (n = 9), PMTS (n = 2), and DSR (n = 4) scores with (SMD = −1.44; 95% CI: −1.72 to −1.17), (SMD = −1.69; 95% CI: −3.80 to 0.42) and (SMD = 2.86; 95% CI: 1.02 to 4.69) verses comparator with substantial heterogeneity. Physical (SMD = −1.61; 95% CI = −2.56 to −0.66), behavioural (SMD = −0.60; 95% CI = −1.55 to0.35) and mood (SMD = 0.57; 95% CI = −0.96 to 2.11) subscale symptom groupings of PSST displayed similar findings. Fifty-three studies (n = 8) were considered at low risk of bias with high quality. Mild adverse events were reported by four RCTs. Based on the existing evidence, herbal medicine and nutritional supplements may be effective and safe for PMS metadata Sultana, Arshiya and Heyat, Md Belal Bin and Rahman, Khaleequr and Kunnavil, Radhika and Fazmiya, Mohamed Joonus Aynul and Akhtar, Faijan and Sumbul, X. and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and De La Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) A Systematic Review and Meta-Analysis of Premenstrual Syndrome with Special Emphasis on Herbal Medicine and Nutritional Supplements. Pharmaceuticals, 15 (11). p. 1371. ISSN 1424-8247

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Currently, sustainability is a vital aspect for every nation and organization to accomplish Sustainable Development Goals (SDGs) by 2030. Environmental, social, and governance (ESG) metrics are used to evaluate the sustainability level of an organization. According to the statistics, 53% of respondents in the BlackRock survey are concerned about the availability of low ESG data, which is critical for determining the organization’s sustainability level. This obstacle can be overcome by implementing Industry 4.0 technologies, which enable real-time data, data authentication, prediction, transparency, authentication, and structured data. Based on the review of previous studies, it was determined that only a few studies discussed the implementation of Industry 4.0 technologies for ESG data and evaluation. The objective of the study is to discuss the significance of ESG data and report, which is used for the evaluation of the sustainability of an organization. In this regard, the assimilation of Industry 4.0 technologies (Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data for obtaining ESG data by an organization is detailed presented to study the progress of advancement of these technologies for ESG. On the basis of analysis, this study concludes that consumers are concerned about the ESG data, as most organizations develop inaccurate ESG data and suggest that these digital technologies have a crucial role in framing an accurate ESG report. After analysis a few vital conclusions are drawn such as ESG investment has benefited from AI capabilities, which previously relied on self-disclosed, annualized company information that was susceptible to inherent data issues and biases. Finally, the article discusses the vital recommendations that can be implemented for future work metadata Saxena, Archana and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Twala, Bhekisipho and Singh, Aman and Caro Montero, Elisabeth and Priyadarshi, Neeraj mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, elizabeth.caro@uneatlantico.es, UNSPECIFIED (2022) Technologies Empowered Environmental, Social, and Governance (ESG): An Industry 4.0 Landscape. Sustainability, 15 (1). p. 309. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Technology’s expansion has contributed to the rise in popularity of social media platforms. Twitter is one of the leading social media platforms that people use to share their opinions. Such opinions, sometimes, may contain threatening text, deliberately or non-deliberately, which can be disturbing for other users. Consequently, the detection of threatening content on social media is an important task. Contrary to high-resource languages like English, Dutch, and others that have several such approaches, the low-resource Urdu language does not have such a luxury. Therefore, this study presents an intelligent threatening language detection for the Urdu language. A stacking model is proposed that uses an extra tree (ET) classifier and Bayes theorem-based Bernoulli Naive Bayes (BNB) as the based learners while logistic regression (LR) is employed as the meta learner. A performance analysis is carried out by deploying a support vector classifier, ET, LR, BNB, fully connected network, convolutional neural network, long short-term memory, and gated recurrent unit. Experimental results indicate that the stacked model performs better than both machine learning and deep learning models. With 74.01% accuracy, 70.84% precision, 75.65% recall, and 73.99% F1 score, the model outperforms the existing benchmark study. metadata Mehmood, Aneela and Farooq, Muhammad Shoaib and Naseem, Ansar and Rustam, Furqan and Gracia Villar, Mónica and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Threatening URDU Language Detection from Tweets Using Machine Learning. Applied Sciences, 12 (20). p. 10342. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Thyroid disease prediction has emerged as an important task recently. Despite existing approaches for its diagnosis, often the target is binary classification, the used datasets are small-sized and results are not validated either. Predominantly, existing approaches focus on model optimization and the feature engineering part is less investigated. To overcome these limitations, this study presents an approach that investigates feature engineering for machine learning and deep learning models. Forward feature selection, backward feature elimination, bidirectional feature elimination, and machine learning-based feature selection using extra tree classifiers are adopted. The proposed approach can predict Hashimoto’s thyroiditis (primary hypothyroid), binding protein (increased binding protein), autoimmune thyroiditis (compensated hypothyroid), and non-thyroidal syndrome (NTIS) (concurrent non-thyroidal illness). Extensive experiments show that the extra tree classifier-based selected feature yields the best results with 0.99 accuracy and an F1 score when used with the random forest classifier. Results suggest that the machine learning models are a better choice for thyroid disease detection regarding the provided accuracy and the computational complexity. K-fold cross-validation and performance comparison with existing studies corroborate the superior performance of the proposed approach. metadata Chaganti, Rajasekhar and Rustam, Furqan and De La Torre Díez, Isabel and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques. Cancers, 14 (16). p. 3914. ISSN 2072-6694

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Using artificial intelligence (AI) based software defect prediction (SDP) techniques in the software development process helps isolate defective software modules, count the number of software defects, and identify risky code changes. However, software development teams are unaware of SDP and do not have easy access to relevant models and techniques. The major reason for this problem seems to be the fragmentation of SDP research and SDP practice. To unify SDP research and practice this article introduces a cloud-based, global, unified AI framework for SDP called DePaaS—Defects Prediction as a Service. The article describes the usage context, use cases and detailed architecture of DePaaS and presents the first response of the industry practitioners to DePaaS. In a first of its kind survey, the article captures practitioner’s belief into SDP and ability of DePaaS to solve some of the known challenges of the field of software defect prediction. This article also provides a novel process for SDP, detailed description of the structure and behaviour of DePaaS architecture components, six best SDP models offered by DePaaS, a description of algorithms that recommend SDP models, feature sets and tunable parameters, and a rich set of challenges to build, use and sustain DePaaS. With the contributions of this article, SDP research and practice could be unified enabling building and using more pragmatic defect prediction models leading to increase in the efficiency of software testing metadata Pandit, Mahesha and Gupta, Deepali and Anand, Divya and Goyal, Nitin and Aljahdali, Hani Moaiteq and Ortega-Mansilla, Arturo and Kadry, Seifedine and Kumar, Arun mail UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Towards Design and Feasibility Analysis of DePaaS: AI Based Global Unified Software Defect Prediction Framework. Applied Sciences, 12 (1). p. 493. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Device-to-device (D2D) communication has attracted many researchers, cellular operators, and equipment makers as mobile traffic and bandwidth demands have increased. It supports direct communication within devices with no need for any intermediate node and, therefore, offers advantage in 5G network while providing wide cell coverage range and frequency reuse. However, establishing acceptable and secure mechanism for D2D communication which ensures confidentiality, integrity, and availability is an issue encountered in this situation. Furthermore, in a resource-constrained IoT environment, these security challenges are more critical and difficult to mitigate, especially during emergence of IoT with 5G network application scenarios. To address these issues, this paper proposed a security mechanism in 5G network for D2D wireless communication dependent on lightweight modified elliptic curve cryptography (LMECC). The proposed scheme follows a proactive routing protocol to discover services, managing link setup, and for data transfer with the aim to reduce communication overhead during user authentication. The proposed approach has been compared against Diffie–Hellman (DH) and ElGamal (ELG) schemes to evaluate the protocol overhead and security enhancement at network edge. Results proved the outstanding performance of the proposed LMECC for strengthening data secrecy with approximate 13% and 22.5% lower overhead than DH and ELG schemes. metadata Gupta, Divya and Rani, Shalli and Singh, Aman and Vidal Mazón, Juan Luis and Wang, Han mail UNSPECIFIED, UNSPECIFIED, aman.singh@unic.co.ao, juanluis.vidal@uneatlantico.es, UNSPECIFIED (2022) Towards Security Mechanism in D2D Wireless Communication: A 5G Network Approach. Wireless Communications and Mobile Computing, 2022. pp. 1-9. ISSN 1530-8669

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Unfired admixed soil blocks are made up of soil plus stabilizers such as binders, fibers, or a combination of both. Soil is abundant on Earth, and it has been used to provide shelter to millions of people. The manufacturing and usage of cement and cement blocks raise several environmental and economic challenges. Due to disposal issues, agricultural and industrial waste is currently the biggest hazard to the environment and humanity in the world. Consequently, environmental degradation brought on by agricultural waste harms the ecology. As a result, researchers are attempting to develop an alternative to cement blocks, and various tests on unfired admixed soil blocks have been done. This investigation uses agricultural waste (i.e., paddy straw fiber and sugarcane bagasse ash) and industrial waste (i.e., marble dust) in manufacturing unfired admixed soil blocks. Under this investigation, the applicability of unfired soil blocks admixed with marble dust, paddy straw fiber, and bagasse ash was studied. The marble dust level ranged from 25% to 35%, bagasse ash content ranged from 7.5% to 12.5%, and the content of paddy straw fiber ranged from 0.8% to 1.2% by soil dry weight. Various tests were conducted on the 81 mix designs of the prepared unfired admixed soil blocks to find out the physical properties of the block followed by modeling and optimization. The findings demonstrate that the suggested method is a superior alternative to burned bricks for improving the physical properties of admixed soil blocks without firing metadata Sharma, Tarun and Singh, Sandeep and Sharma, Shubham and Sharma, Prashant and Gehlot, Anita and Shukla, Anand Kumar and Eldin, Sayed M. mail UNSPECIFIED (2022) The Use of Marble Dust, Bagasse Ash, and Paddy Straw to Improve the Water Absorption and Linear Shrinkage of Unfired Soil Block for Structure Applications. Materials, 15 (21). p. 7786. ISSN 1996-1944

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés For analytical approach-based word recognition techniques, the task of segmenting the word into individual characters is a big challenge, specifically for cursive handwriting. For this, a holistic approach can be a better option, wherein the entire word is passed to an appropriate recognizer. Gurumukhi script is a complex script for which a holistic approach can be proposed for offline handwritten word recognition. In this paper, the authors propose a Convolutional Neural Network-based architecture for recognition of the Gurumukhi month names. The architecture is designed with five convolutional layers and three pooling layers. The authors also prepared a dataset of 24,000 images, each with a size of 50 × 50. The dataset was collected from 500 distinct writers of different age groups and professions. The proposed method achieved training and validation accuracies of about 97.03% and 99.50%, respectively for the proposed dataset. metadata Singh, Tajinder Pal and Gupta, Sheifali and Garg, Meenu and Gupta, Deepali and Alharbi, Abdullah and Alyami, Hashem and Anand, Divya and Ortega-Mansilla, Arturo and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, arturo.ortega@uneatlantico.es, UNSPECIFIED (2022) Visualization of Customized Convolutional Neural Network for Natural Language Recognition. Sensors, 22 (8). p. 2881. ISSN 1424-8220

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Magazines
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés White blood cell (WBC) type classification is a task of significant importance for diagnosis using microscopic images of WBC, which develop immunity to fight against infections and foreign substances. WBCs consist of different types, and abnormalities in a type of WBC may potentially represent a disease such as leukemia. Existing studies are limited by low accuracy and overrated performance, often caused by model overfit due to an imbalanced dataset. Additionally, many studies consider a lower number of WBC types, and the accuracy is exaggerated. This study presents a hybrid feature set of selective features and synthetic minority oversampling technique-based resampling to mitigate the influence of the above-mentioned problems. Furthermore, machine learning models are adopted for being less computationally complex, requiring less data for training, and providing robust results. Experiments are performed using both machine- and deep learning models for performance comparison using the original dataset, augmented dataset, and oversampled dataset to analyze the performances of the models. The results suggest that a hybrid feature set of both texture and RGB features from microscopic images, selected using Chi2, produces a high accuracy of 0.97 with random forest. Performance appraisal using k-fold cross-validation and comparison with existing state-of-the-art studies shows that the proposed approach outperforms existing studies regarding the obtained accuracy and computational complexity. metadata Rustam, Furqan and Aslam, Naila and De La Torre Díez, Isabel and Khan, Yaser Daanial and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images. Healthcare, 10 (11). p. 2230. ISSN 2227-9032

2021

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español Introducción: Las Enfermedades de Transmisión Alimentaria (conocidas comúnmente con el acrónimo de ETAs), impactan significativamente en los sistemas de salud de los países. Objetivo: Realizar una búsqueda temática que identifica los principales peligros de tipo biológico causantes de ETAs descritos en Costa Rica, y relacionar los principales alimentos de origen animal con los cuales se vinculan. Metodología: Realizamos una búsqueda de información científica bajo la modalidad de revisión literaria de cohorte narrativo y descriptivo, desde junio de 2015 hasta diciembre de 2020. Seleccionamos para la presente revisión bibliográfica, únicamente artículos con descripción de uno o varios organismos patógenos que estuvieran vinculados con matrices alimentarias de origen animal, en el territorio costarricense. Resultados: Identificamos 27 tipos de organismos biológicos asociados con cuadros de ETAs, aislados de distintas matrices de origen animal en Costa Rica. Conclusión: Existe una pluralidad de organismos frecuentemente asociados con infecciones, toxoinfecciones e infestaciones en el ser humano. Con un panorama creciente de incremento en el consumo de productos de origen animal para hacer frente al crecimiento poblacional al año 2050, estos retos se incrementan en paralelo. Para ello es imperativo la implementación del concepto Una Salud en los esquemas productivos de los países. metadata Cartín Rojas, Andrés and Pascual Barrera, Alina Eugenia mail UNSPECIFIED, alina.pascual@unini.edu.mx (2021) Alimentos de origen animal y Enfermedades de Transmisión Alimentaria en Costa Rica: 2015- 2020. UNED Research Journal, 13 (2). ISSN 1659-4266

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Background: To address the current pandemic, multiple studies have focused on the development of new mHealth applications to help curb the number of infections, these applications aim to accelerate the identification and self-isolation of people exposed to SARS-CoV- 2, the coronavirus known to cause COVID-19, by being in close contact with infected individuals. Objective: The main objectives of this paper are: 1)To analyze the current status of COVID-19 apps available the main virtual stores: Google Play Store and App Store, and 2)To propose a novel mobile application based on the limitations of the analyzed apps. Methods: The search for apps in this research was carried out in the main virtual stores: Google Play Store and App Store, until May 2021. After the analysis of the selected apps, a novel app is proposed whose main function will be the multiple transmission of information about the patient's symptoms from the application, without the need for phone calls or chat in real time. For its development, the flowchart shown in this session is followed. Results: The search yielded a total of 50 apps, of which 24 were relevant to this study. It is important to note that 23 of the apps analyzed are free. Of the total number of apps, 54% are available for Android and iOS operating systems. 50% of the apps have more than 5 thousand downloads. This means that Covid-19 related apps are in high demand among mobile device users today. The developed app is called COVINFO and its name comes from the union of the words COVID-19 and information, inserted in such a way that the user can get an idea of the app's functionality just by listening or reading the resulting name. The application has been created for mobile devices with Android operating system, being compatible with Android 4.4 and higher. Conclusions: Of the apps found, 37.5% only offer information about the virus and the necessary measures to avoid infection. During the analysis it was detected that 12.5% of the apps are focused on locating outbreaks and that none of them have been successful for the following reasons: not being interconnected to share data; and the request for access to the user's geolocation, generating distrust on the part of the user who, consequently, rejects them. This work addresses the development of an application for the transmission of the user's symptoms to his regular doctor, based on the fact that only 16.6% of the existing applications have this functionality. The COVINFO app offers a service that no other application on the market has: doctor-patient interaction without the need for calls or chat in real time for constant monitoring by the doctor of the patient's condition and evolution. metadata Herrera Montano, Isabel and Pérez Pacho, Javier and Gracia Villar, Santos and Aparicio Obregón, Silvia and Breñosa, Jose and de la Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, silvia.aparicio@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2021) Analysis of mobile apps for information, prevention and monitoring of covid-19 and proposal of an innovative app in this field. JMIR Preprints. (Submitted)

Thesis Subjects > Engineering
Subjects > Teaching
Ibero-american International University > Research > Doctoral Thesis Cerrado Español El presente trabajo de investigación trata de identificar el cumplimiento de las exigencias didácticas que se tienen en cuenta en la institución educativa Litterator, para el diseño, producción, uso y validación de los recursos audiovisuales interactivos didácticos educativos en el trabajo en aula, para demostrar su justificación: práctica, teórica y metodológica que ayudarán a los docentes a mejorar su metodología de enseñanza y a los alumnos a lograr aprendizajes significativos, así como comprender su relevancia social, implicancia práctica y valor teórico para empoderar y aceptar los beneficios que trae. El estudio se enmarca en una investigación de campo de carácter mixto cuantitativo/cualitativo no experimental; que permitió realizar el diagnóstico utilizando las técnicas mixtas con el fin de dar a conocer si se toman en cuenta de forma sistemática las exigencias didácticas. Para conocer y analizar los datos que nos han permitido extraer las conclusiones se utilizó el programa estadístico SPSS versión 24. La información obtenida, nos permiten vaticinar con optimismo lo siguiente: En términos generales el centro educativo Litterator es el que mayor promedio obtuvo (57%), tomando en cuenta las variables independientes señaladas. El mejoramiento del rendimiento académico de los alumnos ha obtenido el mejor resultado promedio (59%), seguido del mejoramiento de la eficiencia de los servicios educativos (45%), la incorporación ordenada y sistemática de los RAI a la escuela (42%) y el mejoramiento del trabajo docente en el aula con (37%). El estudio concluye que un sistema educativo que usa los recursos audiovisuales en forma solicita, eficaz y consciente será un buen sistema adaptado para responder a los retos del conocimiento, la ciencia y el mundo actuales. metadata Aliaga Zegarra, Segundo Emerio mail emerio45@yahoo.es (2021) Análisis de las opiniones de los docentes sobre las exigencias didácticas para el diseño, selección, producción, uso y validación de recursos audiovisuales interactivos educativos en las instituciones educativas Litterator, Maestro Rodrigo, San José de Calasanz y San Pascual. Doctoral thesis, Universidad Internacional Iberoamericana.

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The purpose of this research was to plan an approach to a project framework that integrated a model for sustainability and CSR, with the process groups of the Project Management Body of Knowledge (PMBOK®) standard, in its application to the training of a group of students in Project Design, Management, and Evaluation. The integration was justified by the scarce explicit references to sustainability and CSR found in traditional project management guidelines, norms, and standards. The new framework was used to structure a Sustainability Management Plan, which made it possible to incorporate sustainability criteria throughout the life cycle of the training project. The training proposal in Project Design, Management, and Evaluation was chosen, among several alternatives, by a multi-criteria selection process (fuzzy AHP) in the context of project scope management. The results reveal a great heterogeneity among the models and the lack of a base of key indicators in sustainability and CSR measurement tools as well as of explicit references to sustainability in project management standards. It is therefore necessary to develop a Sustainability Management Plan that can be introduced in the Project Management Plan and thus influence the strategic and operational guidelines of the Institution. metadata García Villena, Eduardo and Gracia Villar, Santos and Dzul López, Luis Alonso and Álvarez, Roberto Marcelo and Delgado Noya, Irene and Vidal Mazón, Juan Luis mail eduardo.garcia@uneatlantico.es, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, roberto.alvarez@uneatlantico.es, irene.delgado@uneatlantico.es, juanluis.vidal@uneatlantico.es (2021) Approach to a Project Framework in the Environment of Sustainability and Corporate Social Responsibility (CSR): Case Study of a Training Proposal to a Group of Students in a Higher Education Institution. Sustainability, 13 (19). p. 10880. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The COVID-19 pandemic has profoundly affected almost all facets of peoples’ lives, various economic areas and regions of the world. In such a situation implementation of a vaccination can be viewed as essential but its success will be dependent on availability and transparency in the distribution process that will be shared among the stakeholders. Various distributed ledgers (DLTs) such as blockchain provide an open, public, immutable system that has numerous applications due the mentioned abilities. In this paper the authors have proposed a solution based on blockchain to increase the security and transparency in the tracing of COVID-19 vaccination vials. Smart contracts have been developed to monitor the supply, distribution of vaccination vials. The proposed solution will help to generate a tamper-proof and secure environment for the distribution of COVID-19 vaccination vials. Proof of delivery is used as a consensus mechanism for the proposed solution. A feedback feature is also implemented in order to track the vials lot in case of any side effect cause to the patient. The authors have implemented and tested the proposed solution using Ethereum test network, RinkeyBy, MetaMask, one clicks DApp. The proposed solution shows promising results in terms of throughput and scalability. metadata Chauhan, Harsha and Gupta, Deepali and Gupta, Sheifali and Singh, Aman and Aljahdali, Hani Moaiteq and Goyal, Nitin and Delgado Noya, Irene and Kadry, Seifedine mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irene.delgado@uneatlantico.es, UNSPECIFIED (2021) Blockchain Enabled Transparent and Anti-Counterfeiting Supply of COVID-19 Vaccine Vials. Vaccines, 9 (11). p. 1239. ISSN 2076-393X

Other Subjects > Engineering Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Universidad Internacional do Cuanza > Research > Projects I+D+I
Cerrado Español "La actividad de I+D que se propone se orienta a desarrollar un módulo informático que permita la gestión indexada del material audiovisual que puede complementar al contenido en las revistas digitales. Además, se crea un sistema de métricas empleando tecnologías de inteligencia de negocio (business intelligence). Los objetivos específicos de la actividad de I+D son: 1. Definir un estándar adecuado para definir los metadatos relacionados con recursos audiovisuales contenidos y gestionados por una plataforma digital de una revista científica o editorial. 2. Desarrollar una solución para crear un canal de consulta de recursos audiovisuales (artículos y revistas) contenidos en una plataforma digital. 3. Construir un prototipo experimental que incluya la funcionalidad de la gestión indexada del recurso audiovisual. 4. Proponer un sistema de métricas empleando tecnologías relacionadas con la inteligencia de negocio (business intelligence) a partir de las estadísticas que se generan en el sistema. " metadata , (MLS) mail mls@devnull.funiber.org (2021) Desarrollo de un prototipo digital para la gestión de recursos audiovisuales. Repositorio de la Universidad. (Unpublished)

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español, Portugués Existe en el país el escenario de mercado lleno de este producto, con varias marcas y jugadores fruto de la dependencia al 90% de las importaciones y se han registrado muchos inconvenientes en su proceso de comercialización y ventas. Tras un cuidadoso análisis, se identificó que este problema se debe a la falta de un programa adecuado de control de calidad de estos productos. En términos generales, el presente estudio tenía como objetivo desarrollar un sistema de gestión y seguimiento de la calidad de los aceites lubricantes para automóviles aplicable al contexto angoleño. A través de una investigación cualitativa y como resultado de un estudio exploratorio, que incluyó entrevistas y estudios de campo, a las partes interesadas en las áreas de producción, importación, inspección, comercialización y fiscalización de combustibles y lubricantes, este estudio presenta una propuesta de programa de monitoreo de aceites lubricantes automotrices con el fin de garantizar la calidad del producto. Una vez hecho esto, los resultados permitieron identificar los inconvenientes del modelo actual de gestión de la calidad de los combustibles y lubricantes y, en consecuencia, sistematizar una propuesta de modelo para un "Sistema Integrado de Monitorización de la Calidad de los Lubricantes" con el potencial de ser extendido también a la monitorización y gestión de la calidad de otras clases de aceites lubricantes y combustibles. Tras describir su funcionalidad, sus principios y las condiciones de estructuración para el funcionamiento de la respectiva propuesta, el estudio recomienda al Ministerio de Recursos Minerales, Petróleo y Gas de la República de Angola que haga suya la idea de crear e implementar el sistema aquí propuesto metadata Jacob Kurtz, Diego and Morais, Pedro Gelson mail 0000-0002-5483-2211, UNSPECIFIED (2021) Desarrollo de un sistema de gestión y control de la calidad de los aceites lubricantes para automóviles aplicable al contexto angoleño. Project Design and Management, 3 (2). pp. 99-116. ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés The collection of water is proposed from the design of contour borders and half moons, green infrastructure measures, to reduce surface runoff and increase the availability of water for vegetation. The contour and crescent ridges have land ridges with a trapezoidal section, which follow the contour lines, to compartmentalize the slope into smaller hydrological units, the ends of which are located on contour lines. With the data of maximum rainfall every 24 hours and parameters of Gumbel's Law modified, the equations of maximum daily rainfall height (hdT), rainfall height for a duration ´´t´´ (htT), and the Intensity Duration Frequency curve (ItT), for a duration of t <2h. Then considering the values of basic infiltration, vegetation cover, soil type and hydrological condition, the curve numbers were determined for different soil moisture conditions, later the separation length (L) between the Half Moons, and the borders was calculated. in contour, which were designed by means of 10 configurations between diameter and height, for the two infrastructures, being in Copacabana Valle, the greatest separation distance. metadata Schmidt-Gomez, Armando and Olivares-Ramírez, Juan Manuel and Ferriol-Sánchez, Fermín and Marroquín-De Jesús, Ángel mail UNSPECIFIED (2021) Design of edges in contour and half moons from edaphoclimatic parameters, for the endorrheic basin of lagunas de tajzara - ramsar site 1030. Journal of Research and Development, 7 (19). pp. 1-8. ISSN 2444-4987

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Abierto Español La enfermedad renal crónica terminal es un problema de salud a nivel mundial que afecta no solo a los pacientes con esta patología clínica sino también a su entorno; es decir, en términos generales, puede tener efectos indirectos en el ámbito familiar entre los que se encuentran el cambio de estilo de vida y la calidad de atención al paciente dializado entre otros. Aquí cabe mencionar que existen guías clínicas para el manejo adecuado de estos pacientes; sin embargo en el caso del territorio chileno, si bien existen guías clínicas, no se evidencia el uso de modelos teóricos de enfermería que consideren no solo prestaciones terapéuticas específicas de diálisis, sino también otros factores, tales como las necesidades psicológicas y sociales relacionadas con el paciente y su entorno. Objetivo: Diseñar un modelo que sirva para determinar algunos parámetros en un nuevo formato tomando como base el modelo de sistemas de Betty Neuman, el cual ayude en el quehacer diario del personal de enfermería. Método: La investigación corresponde a un estudio de caso, con diseño pre experimental. La primera etapa involucro capacitar a las enfermeras que estaban encargadas de la atención a pacientes sobre el modelo a implementar. En este sentido, se realizaron varias determinaciones como son; 1) la aplicación del cuestionario KDOQL-36 a los pacientes, antes y después de implementar el modelo. 2)Además se aplicó encuesta para medir percepción respecto a éste a enfermeras y pacientes. 3) Se realizó análisis cuantitativo mediante estadística descriptiva e inferencial utilizando el programa SPSS v.21. Resultados: La implementación de esta nueva teoría de rango medio de enfermería en la atención del paciente dializado, logró mejorar su calidad de vida, así como también permitió unir la teoría a la práctica clínica. Además se logró una apropiada aceptación de ésta por parte de los enfermeros y pacientes. metadata Ruiz Araya, Paola Andrea mail poli.andrea75@gmail.com (2021) Diseño e implementación de un modelo de atención de enfermería basado en modelo de sistemas de Betty Neuman para pacientes dializados y su familia. Doctoral thesis, Universidad Internacional Iberoamericana México.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español Resumen. El estudio consistió en determinar el efecto del compost de E. crassipes en la calidad de las plantas en vivero de T. cacao, conocer los porcentajes de compost apropiados para su implementación y determinar niveles de plomo (Pb), arsénico (As) y mercurio (Hg) en plantas de E. crassipes, compost y plantas de T. cacao. Se utilizó un diseño completamente al azar, con 5 tratamientos, 5 repeticiones con 48 plantas cada uno. Se usó compost de E. crassipes en porcentajes de 10%, 20% y 40% mezclados con tierra en 90%, 80% y 60%. Los tratamientos se identificaron como: T1 (T10:90), T2 (T20:80), T3 (T40:60), un tratamiento relativo T4 (TR, 100% tierra y fertilización química) y un tratamiento testigo T5 (TT, 100% tierra). Los resultados del ANOVA demuestran que existe diferencia estadística significativa de los tratamientos en la calidad de las plantas de T. cacao para el diámetro, Índice de Calidad de Dickson (ICD) y peso seco total. Los T1, T2, T3 y T4, fueron estadísticamente superiores al tratamiento testigo T5 (TT) en esas variables. La altura de planta, índice de esbeltez, y relación peso seco aéreo-peso seco radicular, no presentaron diferencia estadística a un nivel de significancia de 0.05. La traslocación de Pb a plantas de T. cacao fue inexistente. Las plantas del T3 (T40:60), mostraron amarillamiento clorótico y síntomas de enfermedades en los 45 a los 90 días de germinadas. Se recomienda usar porcentajes de compost de E. crassipes no mayores al 20%, para plantas de T. cacao en vivero. metadata Orellana Tobar, Samuel Alfredo and Hernández, Armando Anaya mail UNSPECIFIED, armando.anaya@unini.edu.mx (2021) Efecto del compost de Eichhornia crassipes en la calidad de plantas en vivero de Theobroma cacao. Project Design and Management, 3 (1). pp. 73-88. ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español Este artículo tiene como objetivo proponer un modelo para el aseguramiento de la calidad de los requerimientos funcionales y no funcionales en Proyectos de Software que pueda ser apropiado por la industria MiPyme y encuentre en éste un escenario propicio para mejorar su competitividad en el orden nacional e internacional a partir de los productos que fabrica. El mismo fue validado desde su conceptualización, desarrollo, implementación y evaluación con la participación de expertos de la academia e industria para reducir la brecha que existe entre estos. Como resultado, se logra el desarrollo de un sistema de información ajustado a las necesidades de los productores de software regionales del eje cafetero Pereira, Colombia, que tiene la capacidad de acompañar los proyectos de software en la gestión de requisitos de calidad desde etapas tempranas, de acuerdo con características de calidad establecidas por organizaciones internacionales expertas en la disciplina. metadata Peláez Valencia, Luis Eduardo and Cohuó Ávila, Miguel Ángel and Delgado González, Iván Andrés and Toro Lazo, Alonso and Arias Vargas, Juan Luis mail UNSPECIFIED (2021) El Sistema CHAMÍ para Asistir el Aseguramiento la Calidad de los Requerimientos Funcionales y No Funcionales en la Industria del Software. Entre ciencia e ingeniería, 15 (30). pp. 49-56. ISSN 19098367

Book Subjects > Engineering Ibero-american International University > Teaching > Books Cerrado Español UNSPECIFIED metadata Orozco González, Nelly and Salinero Martín, Juan José mail nelly.orozco@unini.edu.mx, UNSPECIFIED (2021) Estadística II. Fundación Universitaria Iberoamericana. ISBN 9788411020121

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Abierto Español Las condiciones laborales actuales complejas, debido a la combinación de metas establecidas, recursos disponibles y estilos de liderazgo, potencializa factores que afectan la salud física y mental de trabajadores. Un sector afectado por la presencia del Síndrome de Burnout es el que labora en trabajos de servicio, como son los médicos, enfermeras y docentes. Freudenberger inicia el uso del término burnout en 1974, para describir el estrés crónico que llegaban a padecer personas que trabajaban en actividades de servicio. Las investigaciones sobre este tema han ido desarrollándose con los años. En 1981, Maslach & Jackson presentan un instrumento, el Maslach Burnout Inventory (MBI), para evaluar la presencia del Síndrome de Burnout en docentes. En el 2013, Arquero & Donoso, presentan un instrumento, partiendo de la versión del MBI para evaluar la presencia del Síndrome de Burnout en docentes de nivel superior, considerando actividades de investigación, sin embargo, no contempla la multiplicidad de actividades. En 2016, Ilaja & Reyes, señalan la necesidad de la evaluación considerando la multiplicidad de actividades. Es por ello por lo que se identifica y define la necesidad de generar una herramienta validada para este tipo de evaluación. El instrumento Burnout-DOINAD diseñado se valida por 4 expertos y una muestra de 30 docentes, obteniendo un coeficiente de Kendall de 0.425, y un coeficiente de Alfa de Cronbach de 0.953. Posterior a su validación, el instrumento se aplica a una muestra representativa de 147 docentes, obteniendo un coeficiente de Alfa de Cronbach de 0.946. Se diseña y valida un modelo estadístico para identificar los factores con mayor incidencia y se definen indicadores que proporcionen información objetiva a líderes de organizaciones educativas. Se identifica que el rol administrativo como uno de los factores de mayor incidencia para la presencia de un nivel alto de burnout en los docentes. Una limitante en la investigación fue el número de docentes participantes. metadata Olivares Fong, Luz del Consuelo mail lucy.olivares@gmail.com (2021) Instrumento para evaluar la incidencia de los factores asociados al rol docente, investigativo y administrativo realizados por docentes con el síndrome de burnout. Doctoral thesis, Universidad Internacional Iberoamericana México.

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Abierto Español Las instituciones educativas constituyen el escenario propicio para generar cambios sustanciales en la sociedad. Es allí, donde se forman jóvenes que tendrán en sus manos el futuro de los pueblos. En tal sentido, en cada directivo recae gran responsabilidad como rector garante de estos espacios académicos que debe propiciar la calidad educativa como proceso eficaz de cara a las necesidades del contexto. Desde este punto de vista, esta investigación doctoral tuvo como propósito formular líneas estratégicas gerenciales basadas en el liderazgo pedagógico y la gestión escolar del directivo para mejorar la calidad educativa de las instituciones educativas fiscales de la ciudad de Quito. Este trabajo se suscribe a una investigación de corte mixta con una mirada complementaria de los paradigmas positivista e interpretativo crítico, apoyada en un estudio de campo de carácter descriptivo correlacional, inferencial con el coeficiente de correlación de Pearson, un modelo de regresión lineal múltiple o multivariante, así como un análisis hermenéutico del fenómeno social - educativo en el que se insertan las instituciones educativas. A tal efecto la muestra estuvo constituida por 217 directivos de los Distritos Educativos y por 374 docentes pertenecientes a la Coordinación Zonal de Educación No. 9 dentro de la división administrativa del Ministerio de Educación del Ecuador. Los sujetos se seleccionaron a través de un muestreo por conglomerado. La técnica para la recolección de información es la encuesta a través de un cuestionario autoadministrado contentivo de las dimensiones e indicadores de las variables en estudio. Los resultados del estudio determinaron la correlación significativa positiva entre diferentes dimensiones de las variables, así como la incidencia de las variables independientes gestión escolar y liderazgo pedagógico, sobre la variable dependiente calidad educativa. De allí, que se concluye que las hipótesis formuladas son correctas y, en consecuencia, se aceptan. Finalmente, se describen las implicaciones y limitaciones, no sin antes presentar una propuesta de líneas estratégicas gerenciales para abordar los hallazgos encontrados en la realidad estudiada. metadata Barba Miranda, Laura Cristina mail laubami1@gmail.com (2021) Liderazgo Pedagógico y Gestión Escolar del Directivo: Un análisis al aporte de la Calidad Educativa. Doctoral thesis, Universidad Internacional Iberoamericana México.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español Ante la adopción creciente del modelo ISO 9000 por las Empresas Industriales de Productos Algodoneros Textiles en Bolivia (EIPAT), para abordar eficazmente un contexto dinámico y, al no poder visibilizar cambios representativos en su desempeño; además, considerando el impacto de un Liderazgo sólido en los colaboradores y su repercusión en los procesos y la organización, y por último, siendo uno de los principios de gestión de la calidad el Liderazgo; se buscó establecer la relación entre éste y el Éxito Organizacional (EO). Se establecieron 2 objetivos: (1) Determinar si los niveles de dirección ejercen las acciones de Liderazgo recomendadas por el modelo ISO 9000 y, (2) Determinar la relación que existe entre el Liderazgo que se ejerce en cada uno de los niveles de dirección y el EO. La hipótesis alterna fue “Las acciones para ejercer Liderazgo influyen positivamente en el Éxito de las organizaciones con certificación ISO 9001”; y la nula “Las acciones para ejercer Liderazgo no influyen positivamente en el Éxito de las organizaciones con certificación ISO 9001”. El instrumento de recolección de información fue validado por expertos en metodología de la investigación y el estadístico Alfa de Cronbach. En el análisis de los datos se utilizó las medidas de tendencia central y variabilidad para lo descriptivo y el coeficiente de correlación de Spearman para lo correlacional; lo cual permitió determinar que existe una relación positiva fuerte y moderada entre las variables de estudio; así como, que los niveles de dirección medios ejercen con mayor frecuencia dichas prácticas. metadata Vasquez Lema, Marcelo Rodrigo and Vázquez Loayza, Juan Pablo mail UNSPECIFIED (2021) Liderazgo y éxito organizacional con el modelo ISO 9001. Project Design and Management, 3 (1). pp. 89-112. ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español El presente artículo pone de manifiesto el conocimiento técnico eléctrico de funcionarios vinculados en el proceso productivo, tomado de un segmento de las empresas pesqueras de Chanduy, seleccionadas bajo el criterio de estar legalmente constituidas y de su consumo de energía eléctrica. Mediante la aplicación de una encuesta de diagnóstico, se evidenció la existencia de una brecha de conocimientos técnicos, lo que llevó a elaborar una metodología, así como también temas de cultura energética. Posterior a la capacitación, se realizó un proceso de retroalimentación y una evaluación mediante un test de conocimientos, en el que un 75% de los evaluados presentaron un rendimiento favorable, un 17% presento un rendimiento poco favorable y un 8% un rendimiento desfavorable. En los casos poco favorables y desfavorables se recomendó que el empleador realice acciones de capacitación y fortalecimiento en los temas necesarios. Finalmente, se diseñó un plan de trabajo con dos escenarios, uno para el reclutamiento de nuevo personal y el segundo, para aquellos que ya son parte del proceso productivo de la empresa, con la finalidad de fortalecer las habilidades individuales y colectivas en función a las capacidades y necesidades, con una retroalimentación que también permita al empresario conocer las debilidades y fortalezas para optimizar los procesos productivos, en función a la reducción del consumo innecesario de energía, minimizar el gasto de mantenimiento correctivo y tener una planificación adecuada del proceso de mantenimiento. metadata Martinez Quiñonez, Danilo Francisco and Pascual Barrera, Alina Eugenia mail UNSPECIFIED, alina.pascual@unini.edu.mx (2021) Metodología para reducir la brecha de conocimiento y desarrollo tecnológico en el personal técnico eléctrico de las empresas pesqueras de Chanduy, Ecuador. REFCalE: Revista Electrónica Formación y Calidad Educativa. ISSN 1390-9010, 9 (3). pp. 198-216.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español El consumo de energía a nivel mundial continúa incrementándose debido al aumento demográfico y desarrollo tecnológico, sin embargo, el 73 % de la energía utilizada proviene de fuentes fósiles altamente contaminantes para el planeta y cuyas reservas mundiales se reducen aceleradamente, utilizando únicamente un porcentaje menor de energías limpias o renovables que mitiguen el calentamiento global, el cambio climático y aseguren la sustentabilidad energética mundial. Conscientes de esta problemática nacional y mundial, se propone un modelo energético descriptivo que incluya metodológicamente los pasos a seguir para determinar la viabilidad de instalar sistemas solares fotovoltaicos en cualquier región del mundo, mediante el análisis del recurso energético renovable disponible, de las variables medioambientales y eléctricas y, de los recursos humanos, materiales y financieros. El modelo propuesto se desarrolla y diseña mediante la recopilación, integración y análisis de diversas fuentes y trabajos de investigación relacionados al tema, conjuntado como un sistema integral que muestra gráficamente y describe los bloques de información que deben considerarse. Como un caso particular de estudio el modelo se aplica en Nuevo Laredo, para demostrar que existen las condiciones necesarias para instalar sistemas fotovoltaicos. Se considera la medición de variables in situ mediante instrumentos especiales y las obtenidas de bases de datos o software especial, se analizan y se comparan con normas, especificaciones de fabricantes, regulaciones y parámetros de referencia, lo que permite determinar la viabilidad de la región para instalar sistemas solares fotovoltaicos. Finalmente, la aplicación del modelo requiere elaborar un reporte técnico de los resultados obtenidos. metadata Cruz Arellano, Martin and Castillo Tellez, Margarita mail UNSPECIFIED (2021) Planteamiento de un modelo energético descriptivo aplicable a la instalación de sistemas solares fotovoltaicos interconectados a la red mediante generación distribuida: caso de estudio en Nuevo Laredo. Project Design and Management, 3 (1). pp. 112-137. ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The Internet of Things (IoT) has changed the worldwide network of people, smart devices, intelligent things, data, and information as an emergent technology. IoT development is still in its early stages, and numerous interrelated challenges must be addressed. IoT is the unifying idea of embedding everything. The Internet of Things offers a huge opportunity to improve the world’s accessibility, integrity, availability, scalability, confidentiality, and interoperability. However, securing the Internet of Things is a difficult issue. The IoT aims to connect almost everything within the framework of a common infrastructure. This helps in controlling devices and, will allow device status to be updated everywhere and at any time. To develop technology via IoT, several critical scientific studies and inquiries have been carried out. However, many obstacles and problems remain to be tackled in order to reach IoT’s maximum potential. These problems and concerns must be taken into consideration in different areas of the IoT, such as implementation in remote areas, threats to the system, development support, social and environmental impacts, etc. This paper reviews the current state of the art in different IoT architectures, with a focus on current technologies, applications, challenges, IoT protocols, and opportunities. As a result, a detailed taxonomy of IoT is presented here which includes interoperability, scalability, security and energy efficiency, among other things. Moreover, the significance of blockchains and big data as well as their analysis in relation to IoT, is discussed. This article aims to help readers and researchers understand the IoT and its applicability to the real world. metadata Kumar, Arun and Sharma, Sharad and Singh, Aman and Alwadain, Ayed and Choi, Bong-Jun and Breñosa, Jose and Ortega-Mansilla, Arturo and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, arturo.ortega@uneatlantico.es, UNSPECIFIED (2021) Revolutionary Strategies Analysis and Proposed System for Future Infrastructure in Internet of Things. Sustainability, 14 (1). p. 71. ISSN 2071-1050

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Cerrado Inglés Kinetic rigidity of several polymers such as 2,6-bis(3-aminophenoxy)benzonitrile/4,4′oxydiphthalic anhydride (β-CN)APB/ODPA, poly[(2,2-dimethyl-1,3-dioxolan-4-yl)methyl acrylate)] (PACGA), and diglycidyl ether of bisphenol A (DEGEBA) was studied. Rigidity parameter D, Vogel’s temperature T0, and the activation energy Uα (Tg) for the glass transition were evaluated through Vogel’s model along with relaxation data using “nonlinear” regression of Arrhenius function. The existence of certain functional groups within the structure, such as the aromatic rings, gives high level of kinetic rigidity to the structure as is the case of (β-CN)APB/ODPA and DEGEBA, while the aliphatic groups confer flexibility, as in PACGA. metadata Pali-Casanova, Ramón and González, Wadi Elim Sosa and Zavala Loría, José del Carmen and García, Asteria Narváez and Yam Cervantes, Marcial Alfredo and Vega, Manuel de Jesús Aguilar and Dzul Lopez, Luis mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx (2021) Structure and kinetic rigidity of polymers as related to chain relaxations. Journal of Thermoplastic Composite Materials, 34 (5). pp. 596-613. ISSN 0892-7057

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español El articulo describe los resultados de la transferencia de conocimiento del Grupo Suez, a partir de las soluciones de mejoramiento para eliminar o mitigar las situaciones conflictivas o problemáticas, los riesgos u oportunidades en los procesos e indicadores estratégicos de Aguas de Cartagena S.A. E.S.P. – Acuacar, pero a su vez revisa el estado del arte en conexión a la cesión del discernimiento corporativo en los últimos 10 años, lo que permite configurar la hipótesis: la transferencia de conocimiento mejora el rendimiento corporativo. Él análisis se realizó desde un enfoque cualicuantitativo sustentado en el análisis documental y el paradigma positivista. Se revisó también la metodología propia de registro de entrega del conocimiento de ACUACAR con lo que se pudo construir su síntesis en el periodo 2019 al igual que se utilizó la técnica de análisis de la varianza para demostrar el supuesto señalado. El diseño exploratorio, descriptivo y longitudinal ad hoc se fundamentó en la revisión documental, la observación, la aplicación de instrumentos de recogida de datos y entrevistas al equipo directivo de Aguas de Cartagena S.A. Se encontró que el conocimiento transmitido a través de métodos, procedimientos y tecnologías ejerce influencia positiva en el rendimiento corporativo de ACUACAR. En conclusión, se corrobora la tesis sobre que la cesión de conocimientos despliega influencia determinante en la mejora del rendimiento empresarial de ACUACAR. metadata Mendoza Betin, Javier Alfonso mail UNSPECIFIED (2021) Transferencia de conocimiento: el caso del grupo Suez y Aguas de Cartagena SAESP “Acuacar”. Project Design and Management, 3 (2). pp. 75-98. ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Currently, two-wheelers are the most popular mode of transportation, driven by the majority the people. Research by the World Health Organization (WHO) identifies that most two-wheeler deaths are caused due to not wearing a helmet. However, the advancement in sensors and wireless communication technology empowers one to monitor physical things such as helmets through wireless technology. Motivated by these aspects, this article proposes a wireless personal network and an Internet of Things assisted system for automating the ignition of two-wheelers with authorization and authentication through the helmet. The authentication and authorization are realized with the assistance of a helmet node and a two-wheeler node based on 2.4 GHz RF communication. The helmet node is embedded with three flex sensors utilized to experiment with different age groups and under different temperature conditions. The statistical data collected during the experiment are utilized to identify the appropriate threshold value through a t-test hypothesis for igniting the two-wheelers. The threshold value obtained after the t-test is logged in the helmet node for initiating the communication with the two-wheeler node. The pairing of the helmet node along with the RFID key is achieved through 2.4 GHZ RF communication. During real-time implementation, the helmet node updates the status to the server and LABVIEW data logger, after wearing the helmet. Along with the customization of hardware, a LABVIEW data logger is designed to visualize the data on the server side. metadata Gehlot, Anita and Singh, Rajesh and Kuchhal, Piyush and Kumar, Adesh and Singh, Aman and Alsubhi, Khalid and Ibrahim, Muhammad and Gracia Villar, Santos and Breñosa, Jose mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, josemanuel.brenosa@uneatlantico.es (2021) WPAN and IoT Enabled Automation to Authenticate Ignition of Vehicle in Perspective of Smart Cities. Sensors, 21 (21). p. 7031. ISSN 1424-8220

2020

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español Introducción. La explotación de petróleo y sus derivados en Ecuador, mantiene un historial negativo en relación con la destrucción de hábitats junto con la formación de pasivos ambientales o piscinas de crudo que han contaminado los suelos y agua de la región. La búsqueda de nuevos tratamientos de biorremediación se ha incrementado en los últimos años por la necesidad de realizar trabajos de limpieza más rápidos y de bajo costo, utilizando de forma estratégica microorganismos, plantas o biocompuestos para disminuir la contaminación por hidrocarburos de petróleo, metales pesados y otros compuestos. Objetivo. Determinar la capacidad para biodegradar hidrocarburos a base de bacterias nativas aisladas de suelos contaminados con petróleo. Materiales y métodos. Bajo un enfoque cuantitativo, en la modalidad experimental de tipo exploratoria, se utilizaron 81 bacterias aisladas a partir de suelos contaminados con petróleo. Los parámetros medidos fueron el diámetro de crecimiento de la colonia bacteriana y la formación del halo de degradación. Resultados. Las bacterias estudiadas presentaron diversidad fenotípica y metabólica, siendo AX15, AX67 y AX87 las que crecieron de mejor manera, en los medios de cultivo preparados con extractos de suelos con diferentes concentraciones de hidrocarburos. Conclusiones. Este estudio demuestra la factibilidad de usar un bioproducto basado en bacterias para la implementación de programas de biorremediación in situ o ex situ en la recuperación de suelos contaminados con hidrocarburos. metadata Morales-Padilla, María Monserrath and Taco-Taco, Carlos Wilfrido and Pascual Barrera, Alina Eugenia and Vizuete-García, Ricardo Abel mail UNSPECIFIED, UNSPECIFIED, alina.pascual@unini.edu.mx, UNSPECIFIED (2020) Biorremediación de suelos contaminados con hidrocarburos a base de bacterias utilizadas como bioproductos. Revista Lasallista de Investigación, 17 (1). pp. 177-187. ISSN 1794-4449

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Currently, multilevel inverters have been increased the number of applications in the industrial sector and renewable energy sources. Among its characteristics, the most remarkable are modular design, high performance, and low harmonic distortion in the output voltage waveform. For this paper, a single-phase Cascade H-Bridge Multilevel Inverters (CHB-MLI or CMLI) topology with independent DC sources, has been selected for the case study. Analyzing three scenarios: 5-level, 7-level, and 9-level applying the concept of the Optimized Harmonic Stepped-Waveform (OHSW) and comparing the results between the Selective Harmonic Eliminated-Pulse Width Modulation (SHE-PWM) and the Optimal Minimization of the Total Harmonic Distortion (OMTHD) are also presented. To compare the results obtained with classical and nature-inspired optimization methods, three techniques are used to solve transcendental nonlinear equations for the problem of Total Harmonic Distortion (THD) minimization: Newton Raphson (NR), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), which have been widely used for the problems of THD minimization in multilevel inverters. metadata Marín-Reyes, Manuel and Aguayo-Alquicira, Jesus and De León Aldaco, Susana Estefany mail UNSPECIFIED (2020) Calculation of Optimal Switching Angles for a Multilevel Inverter Using NR, PSO, and GA- a Comparison. European Journal of Electrical Engineering, 22 (4-5). pp. 349-355. ISSN 21033641

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Currently, multilevel inverters with an induction motor as a load are widely used in the industry. Therefore, there has been an increase in the number of studies related to the analysis of the advantages and disadvantages that are presented in the set: multilevel inverter + induction motor (MLI+IM). Exist several multilevel inverter topologies and different modulation techniques for these inverters, so it is very difficult to select the most suitable combination to improve the operating conditions of the set. This paper presents a comparative analysis of the behavior of the electrical and mechanical parameters in the set: multilevel inverter + induction motor, using four different pulse width modulation techniques to generate the switching states for the power semiconductor devices in a three-phase, seven-level cascade multilevel inverter. The objective of the comparison is to identify the modulation strategy with the best performance for the conditions established in this study. metadata Severiano, Yesenia and Alquicira, Jesús and De León Aldaco, Susana Estefany and Santos, Luis mail UNSPECIFIED (2020) Comparative Analysis of PWM Techniques in the Set: Multilevel Inverter + Induction Motor. European Journal of Electrical Engineering, 22 (2). pp. 111-117. ISSN 21033641

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Currently, induction motors are widely used in industry because have a high potential for efficiency improvement. Therefore, a topic of interest to the industry is to reduce the energy consumption of induction motors, as they represent almost half of the total electrical energy consumption in the world. The energy consumption of electric motors can be reduced by using motors that are more efficient and by using power converters to feed the motors, thereby enabling accurate control according to the load. The function of the power converter is to modify the intrinsic characteristics of the induction motor (speed and torque). There are different topologies of the power converter commonly called inverter for induction motors. An inverter requires a modulation strategy for its operation, there are several modulation strategies that are used in the induction converter-motor assembly. This paper presents the comparative analysis of the influence of the phase disposition modulation (PD-PWM) strategy with different modulation indices, on parameters related to the output signal of a cascaded multilevel inverter (seven-levels) as well as on the nominal working conditions of a three-phase induction motor metadata Reyes Severiano, Yesenia and Aguayo Alquicira, Jesús and De León Aldaco, Susana Estefany and Carrillo Santos, Luis Mauricio mail UNSPECIFIED (2020) Comparative analysis of PD-PWM technique in the set: Multilevel Inverter-Induction motor. Ingeniería Investigación y Tecnología, 21 (1). pp. 1-8. ISSN 14057743

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español El objetivo de esta investigación es conocer las estructuras básicas que contienen las metodologías de proyectos y lograr una tipificación que nos permita analizar las posibilidades de complementariedad y articulación de las mismas. Metodología: A partir de la identificación de las principales metodologías de proyectos, se reconocieron tipologías según las organizaciones que las promueven; luego se seleccionaron las más representativas de cada tipo y se realizó una comparación entre los ciclos de vida y los procesos básicos de cada fase dentro del grupo tipificado; posteriormente se desarrollaron tablas síntesis que representan a cada grupo de metodologías y que reflejan el contenido común de cada fase; por último se desarrollan tablas que mostraran los contenidos en cuanto a procesos, componentes e instrumentos. Este proceso permitió una comparación a nivel grupo de metodologías, lo cual hizo posible acceder a conclusiones sobre las posibilidades de complementariedad y articulación. Resultados: el análisis comparativo develó que el grupo de metodologías asociadas a las Agencias de Cooperación cuentan con unas instancias preliminares no presentes en las metodologías propuestas por las asociaciones profesionales; por otro lado, se pudo determinar que las metodologías de las asociaciones profesionales son mucho más complejas y completas en los procesos e instrumental propuesto para las fases de implementación. Discusión: Las metodologías son en muchos aspectos complementarias, una articulación entre ellas permitirá que los profesionales que se desarrollan en la disciplina capitalicen las virtudes y potencialidades de las metodologías que no les son propias, propendiendo a una práctica profesional integral y superadora. metadata Brie, Santiago mail UNSPECIFIED (2020) Complementariedad y articulación de las metodologías de planificación y gestión de proyectos. Project, Design and Management, 2 (1). pp. 7-26. ISSN 26831597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Cerrado Inglés Ionizing and non-ionizing radiations are part of our daily life, and when organisms are exposed to them for a long time, they may experience their lethal or sublethal effects. For this reason, technologies have been created to quantify them. In this study, Internet of Things (IoT) was used through connecting gamma meters and a low-cost UV radiation device. The validation of this structure was performed with meters calibrated in certified laboratories. The validation results matched those obtained by the other devices, with an error of 2%. metadata Baena Navarro, Ruben Enrique and Torres-Hoyos, F. and Uc-Rios, Carlos and Colmenares-Quintero, R.F. mail ruben.baena@campusucc.edu.co, UNSPECIFIED, carlos.uc@unini.edu.mx, UNSPECIFIED (2020) Design and assembly of an IoT-based device to determine the absorbed dose of gamma and UV radiation. Applied Radiation and Isotopes, 166. p. 109359. ISSN 09698043

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español Esta investigación pretende determinar la existencia o no de componentes orgánicos a partir del análisis en fragmentos de morteros del convento de San Diego localizado en el centro histórico de la ciudad de Quito - Ecuador; se realizó la investigación de nueve (9) muestras de morteros tomadas de la edificación que corresponde a la época colonial, las muestras son: de adobe, mortero de pisos y enlucidos, estos fragmentos corresponden a diferentes periodos de construcción que van desde: 1597 a 1700; la presente investigación determinó que en los morteros analizados hay la presencia del mucílago de nopal. Para realizar una valoración se obtuvieron patrones del mucilago, para esto se tomaron dos muestras de la baba de nopal: la primera muestra fue obtenida a temperatura ambiente, la misma que al tacto es ligera y pegajosa, y la segunda muestra fue extraída por medio de cocción a una temperatura de entre 90 a 100 C°, esta al tacto es mucho más densa y adherente. Así mismo, el uso de la cal fue añadido comparando la acción de la cal viva, respecto a la cal apagada (ahogada) lo que genera plasticidad adicional en el material. Con estos patrones se realizó la comparación del patrón obtenido de los morteros antiguos, como resultado se obtuvo que los patrones que coinciden entre sí son los espectros obtenido por cocción con el obtenido de los morteros antiguos, lo que determina que se utilizó el mucilago de nopal en la construcción en la época colonial. metadata Silva Cascante, Angel Vicente and Uría Cevallos, Guadalupe Del Rosario and Vásquez Mora, Carlos Andrés mail UNSPECIFIED (2020) Determinación del uso del mucilago de nopal en la construcción de la época colonial (caso Convento de San Diego). Project Design and Management, 2 (2). pp. 95-118. ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español El presente artículo expone parte de los hallazgos de una investigación destinada a diseñar una metodología para la elaboración de un modelo de gestión (MdG), como componente básico en la preparación y evaluación de proyectos en el ámbito del Sistema Nacional de Inversiones de Chile (SNI). La metodología utilizada fue de tipo cualitativa cuantificable. La investigación consideró el análisis de metodologías y requisitos de información para la preparación y evaluación de proyectos ex ante, la revisión de modelos en proyectos ex post, el diseño de una metodología para la elaboración de un modelo y la aplicación en un proyecto (caso), lo cual se realizó a través de entrevistas, observaciones y análisis de documentos. Los resultados obtenidos dan cuenta que las metodologías para la preparación y evaluación de proyectos de inversión pública (sociales), a diferencia de los proyectos privados, no consideran un módulo de información sobre la organización para la operación, así como tampoco los requisitos de información sectoriales. Sin embargo, los proyectos evaluados ex post revelan la importancia y utilidad de contar con un modelo ex ante para su puesta en marcha y operación ex post. Y a partir de una definición de contenidos, se diseñó una metodología para la elaboración de un modelo que permita la planificación, el seguimiento y la evaluación de un proyecto de inversión. metadata Latorre, Alex mail UNSPECIFIED (2020) Diseño de un modelo de gestión en la preparación y evaluación de proyectos. Project, Design and Management, 2 (1). pp. 51-70. ISSN 26831597

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Abierto Español La investigación utiliza el concepto de seguridad energética en el estudio del abastecimiento del Gas Licuado de Petróleo (GLP), combinando las metodologías de dinámica de sistemas y análisis multivariante; constituye una base de referencia para otras investigaciones sobre suministro de combustibles que coadyuven a establecer y garantizar la seguridad energética en el Perú. La investigación utiliza los métodos cualitativo y cuantitativo dentro de un mismo estudio, lo cual permite realizar inferencias como resultado del análisis de la información recolectada. Asimismo, explica las relaciones causales existentes entre las variables intervinientes en la problemática y, a su vez, se orienta a la solución de un problema. La investigación trabaja con data de dominio público, real, y explora los pocos estudios de carácter científico orientados al abastecimiento de combustibles líquidos en el Perú para luego desarrollar un diseño que somete a prueba las hipótesis causales. Adicionalmente, establece la existencia de correlación entre las diferentes variables involucradas en el problema. El desarrollo del análisis de la situación problemática siguiendo la metodología de la dinámica de los sistemas blandos (Soft System Dynamics Methodology) permite identificar las variables involucradas tomando en consideración que cada individuo tiene su propia percepción e interpretación del mundo, por lo cual tendrá también su propia percepción e interpretación de una situación problemática en particular. Ello permite una adecuada definición del problema y las situaciones de conflicto o factores críticos que se presentan en el abastecimiento de GLP, así como la identificación de las restricciones y alternativas de solución. El uso del análisis multivariante mediante la generación de un modelo de ecuaciones estructurales permite identificar los factores de impacto significativo en la problemática analizada. metadata Adaniya Higa, Beatriz Juana mail badaniya@fip.uni.edu.pe (2020) Estudio causal de los factores que afectan el abastecimiento de Gas Licuado de Petróleo (GLP) en el mercado peruano mediante ecuaciones estructurales. Doctoral thesis, Universidad Internacional Iberoamericana México.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español, Portugués Esta investigación se derivó de una parte de la base teórica de la tesis de maestría del autor, desarrollada en conjunto con el Programa de Maestría en Diseño, Gestión y Gestión de Proyectos, en la Universidad Internacional Iberoamericana, UNINI-México (UNINI-MX). El autor tiene experiencia en proyectos en el sector de la construcción, su compatibilidad y enseñanza del software específico utilizado en este segmento, y se motivó al observar el contexto en la práctica y la vergüenza personal. En otros países, es una realidad, y no una novedad, aprobar los puntajes de los proyectos de construcción, en relación con sus criterios de construcción, antes de proceder a su logro. También es digno de mención que los proyectos que resultan del modelado de la información de construcción (proyectos BIM), entre otros avances tecnometodológicos entrantes de manera exponencialmente creciente en la velocidad de ocurrencia, calidad y cantidad de colaboraciones, exigen cada vez más cambios en los paradigmas en la construcción civil, pero facilitan la extracción de datos que pueden evaluarse, en relación con su capacidad de construcción, de forma automatizada. El propósito de BIM no debe ser solo la automatización de los resultados gráficos-textuales. Este trabajo buscó conceptualizar, con base en la literatura y las experiencias, cómo y cuándo extraer información de proyectos BIM que buscan automatizar la Evaluación de la Constructibilidad del Edificio. metadata Kotaira, Keila mail UNSPECIFIED (2020) Evaluación de constructividad en Proyectos BIM en Brasil. Project Design and Management, 2 (2). pp. 7-23. ISSN 2683-1597

Thesis Subjects > Physical Education and Sport
Subjects > Engineering
Ibero-american International University > Research > Doctoral Thesis Abierto Español En la presente investigación se propuso estimar la influencia de los factores del De-terminante Humano en la implementación del Currículo Nacional para la Educación Física Ecuatoriana desde la Visión Constructivista; debido a que el Ministerio de Educación en el año 2016 propuso un nuevo currículo nacional de Educación Física que se alinea bajo el Modelo Educativo Constructivista, transversalizado con tres enfoques curriculares el lúdico, el inclusivo y de la corporeidad, con lo que surge la necesidad de aplicar metodologías activas como el Aprendizaje Cooperativo específico a esta disciplina para el desarrollo de los contenidos curriculares. El estudio se articula en un enfoque cuantitativo de carácter descriptivo correlacional, planteando a través de la estadística descriptiva e inferencial utilizando el coeficiente de correlación de Pearson. La muestra fue de 803 docentes de Educación Física pertenecientes a nueve coordinaciones zonales del país, se aplicó la encuesta con un instrumento validado por juicio de siete expertos y con una alta confiabilidad, construido bajo la operacionalización de las variables y basada en dimensiones e indicadores. Con los resultados obtenidos se pudo conocer y tener una descripción de los factores que influyen en la implementación del Currículo Nacional para la Educación Física Ecuatoriana. Este estudio concluyó la existencia de la relación entre algunas variables de determinante humano y dicha implementación curricular dentro de las instituciones educativas que determinan la población de estudio, entre los cuales se identificaron el conocimiento de docente, su percepción de la formación, la actitud ante el proceso y su valoración hacia las metodologías implementadas. Asimismo, y en aras de dar respuesta a los hallazgos se elaboraron unas líneas de acción en correspondencia con las principales variables influyentes y se diseñaron acciones más específicas para su abordaje. metadata Posso Pacheco, Richar Jacobo mail derenue@hotmail.com (2020) Factores dentro del Determinante Humano en la Implementación del Currículo Nacional para Educación Física Ecuatoriana. Doctoral thesis, Universidad Internacional Iberoamericana México.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production
Europe University of Atlantic > Research > Scientific Production
Abierto Inglés, Español, Portugués La importancia de la seguridad de la información en las empresas corporativas de tecnología de la información tiene el objetivo principal de proponer medidas de seguridad para proteger la información en las empresas corporativas de tecnología de la información. En este sentido, la investigación es una investigación cualitativa, exploratoria y descriptiva, ya que se basa en la búsqueda de material bibliográfico que permita sugerir medidas de seguridad para la protección de la información. Los datos secundarios se recopilaron sistemáticamente, buscando la palabra clave: medidas de seguridad y sus sinónimos. La búsqueda se realizó en bases de datos computarizadas, como Google Acadêmico® y el Portal de Periódicos Capes. Se ha identificado un conjunto de sugerencias para medidas de seguridad que permiten a las empresas corporativas en el campo de la tecnología de la información aprovechar. Se destaca como conclusión que las medidas preventivas, de detección y correctivas propuestas deben estar involucradas en un plan de seguridad y contingencia difundido en toda la organización.. metadata Cassinda Quissanga, Fernando and Fernandes, Roberto Fabiano mail UNSPECIFIED, roberto.fabiano@funiber.org (2020) Importancia de la seguridad de la información en las empresas de tecnología de información corporativa. Project, Design and Management, 2 (1). pp. 87-102. ISSN 26831597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Historical centers (HC) are confronted with a diverse functional reality where different environmental factors or variables could break precarious equilibriums becoming complex spaces of indefinite limits which result from urbanizing processes imposed city model by official planning. Through a research documentary, it´s been tried to synthesize art´s state in the subject of resilience of HC in coastal cities with functional problems, to establish a whole designed model of resilience, which regards as a system, the various subsystems in balance with all environmental factors, which guarantees urban sustainability. To have a whole plan for it´s resilience will allow institutions involved in urban development to create effective programs, contributing to sustainable development of the city. metadata González Ballesteros, Cristóbal mail UNSPECIFIED (2020) Integral model for the resilience of historic centers in coastal cities. International Journal of Current Research, 12 (10). pp. 14299-14308. ISSN 0975-833X

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español Un Modelo de Madurez de la Gestión de Proyectos contribuye a que las organizaciones midan y maduren sus prácticas en gestión de proyectos, programas y portafolios, a través de la definición de conocimientos mejoras en sus procesos. En México, existen estados con mayor crecimiento en el desarrollo de nuevos proyectos, como se ha visto en los últimos 20 años en el estado de Baja California Norte. El observatorio nacional reportó que la población de profesionistas en el estado alcanzó 305,374 de personas (SNE, 2020). Por consiguiente, se pretende conocer si este sector de la población conoce o aplica algún modelo de madurez en su trabajo. Por lo anterior, se propone un nuevo modelo de madurez que combina las fortalezas de los modelos más conocidos en la literatura y propone un plan de acciones estratégicas encaminadas hacia la madurez. Se analizó el nivel de madurez de la gestión de proyectos y de las competencias individuales, grupales e institucionales de esta población en el estado por medio de una encuesta multidimensional. Para comprobar su validez, se aplicó el análisis factorial exploratorio. Se encontró que los conocimientos en los procesos de la gestión de proyectos cuentan con un nivel 3 de madurez. Sin embargo, la misión, visión y las competencias institucionales apenas lograron un nivel 2. Lo que sugiere que las gerencias bajacalifornianas deben trabajar en esos aspectos. La nueva cultura propone un plan de acciones que se alinee con las estrategias y fomente la madurez en cualquier organización. metadata Pelayo Ramos, Octavio and Bravo Diaz, Brenda and Bazurto Roldán, José Antonio mail UNSPECIFIED (2020) La nueva cultura de la madurez mexicana: un plan de desarrollo profesional y acciones estratégicas encaminadas a mejorar el nivel de madurez sobre los profesionistas baja californianos. Project, Design and Management, 3 (2). pp. 7-36. ISSN 26831597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español El uso de materiales plásticos se ha incrementado enormemente en estos últimos años. Actualmente hay una gran cantidad de compañías industriales y domésticas que manufacturan sus productos usando el proceso de soldadura de termoplásticos con la tecnología de soldadura por alta frecuencia (HF). Pero al inicializar sus procesos para manufacturar productos, realizan los ajustes con el método de "prueba y error " hasta obtener los parámetros óptimos con los que se operarán los equipos de manufactura. Esto conlleva una serie de gastos que impactan el costo, calidad del producto y daño al medio ambiente por el desperdicio de productos descartados. La producción mediante procesos de soldadura de termoplásticos usando el sistema por alta frecuencia (HF), es parte integral de la mayoría de los principales procesos de manufactura. El propósito de la metodología es proponer el desarrollo de procesos óptimos de soldadura de materiales termoplásticos (EVA y EVA / EVOH) utilizando el sistema de soldadura de alta frecuencia (HF), aportando un beneficio de reducir o eliminar la pérdida de tiempo, recursos, desperdicios de materiales, gastos innecesarios, obstáculos y errores, llegando a la meta del proceso. Los resultados para la respuesta muestran que la variable de presión tiene un Cpk de 1.67, (equivalente a un proceso de 5 Sigma). En adición, la metodología permite obtener los parámetros operacionales del proceso de soldadura termoplástica en control, confiable y predecible. Permite tener un proceso que pueda producir productos de calidad para seguir siendo competitivos en un mercado global en crecimiento. metadata Ruiz Santiago, Kelvin and Uc-Rios, Carlos mail UNSPECIFIED, carlos.uc@unini.edu.mx (2020) Metodología para desarrollar procesos óptimos de soldadura de materiales termoplásticos (EVA Y EVA/EVOH) usando el sistema de soldaduras de alta frecuencia (HF). Project, Design and Management, 2 (1). pp. 27-50. ISSN 26831597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Cerrado Inglés Reliability predictions are routinely performed according to mission profiles, in photovoltaic applications including at least irradiance and temperature. This paper is aimed at assessing the necessity of including humidity meteorological data in the mission profile. A DC/DC soft-switching converter rated at 1 kW, and aimed at PV applications is selected as case study. Its reliability is predicted using FIDES guide, using seasonal mission profiles for eight different sites with climates ranging from tropical-humid to hot and dry. The prediction results are contrasted, assuming that the most failure-prone converters are those at the highest temperature. The results corroborate that the thermal stress factor has a large impact on the increase in the failure rate of semiconductor devices. Nevertheless, humidity also has a noticeable impact on the failure rate, contributing with 30% in the transistors, with 6% in the diodes, and in minor proportion in the passive devices. The impact of humidity is larger when it occurs simultaneously with sustained, high temperatures, and it was found that neglecting humidity might underestimate the failure rate by as much as 35% in hot, humid sites. Therefore, detailed humidity meteorological data should be included in the mission profile. metadata De León Aldaco, Susana Estefany and Calleja, Hugo and Aguayo Alquicira, Jesus mail UNSPECIFIED (2020) Mission profiles and hygrothermal conditions: Its effects on the reliability of a soft switching converter. Microelectronics Reliability, 111. p. 113707. ISSN 00262714

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Abierto Portugués As escolas particulares na cidade de São Paulo têm demonstrado elevado nível de qualidade na formação dos alunos. Esse fato é comprovado pelo alto índice de aprovação dos alunos que concluem o ensino médio em vestibulares nas renomadas universidades brasileiras e do exterior. Pesquisas realizadas pelos meios de comunicação (jornais impressos e televisivos) tentaram sem sucesso estabelecer critério ou parâmetro que possa ser apontado como o principal fator do recente sucesso dessas escolas. Além do visível investimento na formação de professores “especialistas” um ponto em comum chama a atenção: o alto investimento em tecnologia. O uso de padrões para gerenciamento de serviços de tecnologia da informação não é novidade no Brasil, no entanto é notória a falta de informações sobre a aplicabilidade desses modelos nos diversos segmentos da indústria, comércio e serviços. Especificamente em escolas particulares os indicadores de uso de modelos de gerenciamento de serviços de tecnologia da informação são praticamente inexistentes. A partir dessa perspectiva que o estudo é orientado. O objetivo principal é realizar um levantamento dos modelos de gerenciamento de serviços de tecnologia da informação praticados nas escolas particulares da cidade de São Paulo e após a coleta dos dados efetuar um cruzamento das informações com os níveis de satisfação dos clientes internos (em específico, os coordenadores pedagógicos) de cada instituição para que seja possível entender a relação entre os altos níveis de qualidade das escolas e os modelos de gerenciamento de serviços de tecnologia da informação aplicados nessas instituições. O trabalho iniciou com levantamento bibliográfico e estabelecimento da base conceitual para que fosse possível realizar a análise do contexto no qual o objeto de estudo está inserido. Foi realizada uma pesquisa com duas variações, uma para profissionais de tecnologia da informação e outra para os coordenadores pedagógicos que trabalham nas escolas particulares participantes do estudo. metadata Serapiao, Christian mail UNSPECIFIED (2020) Modelos de Gerenciamento de Serviços de TIC em Escolas Particulares na Cidade de São Paulo. Doctoral thesis, Universidad Internacional Iberoamericana México.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Portugués O uso de padrões ou modelos para gerenciamento de serviços de TIC não é uma novidade no Brasil, no entanto é notória a falta de informações sobre a aplicabilidade desses modelos. O objetivo principal do estudo foi realizar um levantamento dos modelos de gerenciamento de serviços de TIC praticados nas escolas particulares da cidade de São Paulo e após a coleta dos dados efetuar um cruzamento das info rmações com os níveis de satisfação dos clientes internos (em específico, os coordenadores pedagógicos) de cada instituição para que seja possível entender a relação entre os altos nívei s de qualidade das escolas e os modelos de gerenciamento de serviços de TIC aplicados nessas instituições. Para levantamento dos dados foi aplicado a cada perfil de profissional, o gerente de TIC e o coordenador pedagógico, um questionário com a intenção de aprofundar o conhecimento sob re o setor. A amostra selecionada foi de 67 gerentes de TIC e 69 coordenadores pedagógicos. Através da apuração dos dados foi possível entender parte da relação entre a oferta de equipamentos, redes sem fio e serviços de suporte de tecnologia, com a percepção de qualidade do profissional de pedagogia em uma mesma instituição de ensino básico. Como resultado das duas pesquisas, foi possível entender a relação direta entre uma escola bem aparelhada e com profissionais treinados em atendimento no cotidiano do professor. metadata Serapiao, Christian mail UNSPECIFIED (2020) Modelos de gerenciamento de serviços de TIC em escolas particulares na cidade de São Paulo. Project, Design and Management, 2 (1). pp. 103-119. ISSN 26831597

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés, Español Se propone el diseño de una estrategia metodológica compuesta por modelos computacionales, tecnología musical y reglas básicas de composición armónica. La estrategia integra diferentes herramientas como lenguajes de programación, diseño y reutilización de algoritmos y librerías para la extracción de características fuertes a las muestras producidas por un intérprete, así como la ejecución de procesos estocásticos discretos que generan melodías acotadas por reglas básicas de composición de música Pop. Los fragmentos generados son convertidos en series que posteriormente son reproducidos de forma controlada, por un dispositivo MIDI (Musical Instrument Digital Interface). Para garantizar la integración de todos los elementos como un sistema que genera iteraciones, se utilizan protocolos de control abierto entre lenguajes de programación y herramientas que permiten la interconexión y comunicación entre los diferentes componentes tecnológicos que conforman la estrategia. Una vez concluido el proceso de generación de fragmentos melódicos, estos son transmitidos a un gestor de audio y copiados en cada canal del gestor en un formato de tipo estándar MIDI. metadata Rodriguez, Carlos Alberto and López-Pelaez, Maria Paz and Arambarri, Jon mail UNSPECIFIED, UNSPECIFIED, jon.arambarri@uneatlantico.es (2020) Una estrategia metodológica para la optimización de procesos de producción de música POP, basada en modelos computacionales. Project Design and Management, 2 (2). pp. 23-42. ISSN 2603-5820

2019

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español Este trabajo presenta un sistema de información de mantenimiento preventivo, predictivo y correctivo relacionado con los datos obtenidos a partir de una Matriz de Criticidad cuyos parámetros fueron basados en el historial de intervenciones de mantenimiento y la observación visual y auditiva de los equipos tales como: Básculas mecánicas, Malacates, Tolvas y Esterilizadores. El análisis de Criticidad determinó tendencias de mantenimiento preventivo y predictivo para los pares “Básculas mecánicas, Malacates” y “Tolvas, Esterilizadores”, respectivamente, estableciéndose de esta manera un sistema de planeación de mantenimiento preventivo para Tolvas y Esterilizadores mediante el diseño, elaboración y alimentación de datos al sistema de información que anticipa el control previsivo sobre las acciones del departamento de mantenimiento y producción. Estas acciones generan beneficios tales como la disponibilidad y seguridad de la planta de equipos, mejora en la calidad de los productos, un mejor registro con capacidad de información de primera mano sobre las condiciones de la maquinaria, una buena capacidad en cantidad y calidad de actividades de mantenimiento, optimización en el manejo de partes de reparación, mejoras del diseño de equipos, lo cual conduce a reducción de costos por mantenimiento. metadata Yam Cervantes, Marcial Alfredo and Zavala Loría, José del Carmen and Pali-Casanova, Ramón mail marcial.yam@unini.edu.mx, jose.zavala@unini.edu.mx, ramon.pali@unini.edu.mx (2019) Aplicabilidad de la criticidad en el mantenimiento de equipos. Project Design and Management, 1 (1). pp. 33-48. ISSN 2683-1597

Conference or Workshop Item Subjects > Engineering Ibero-american International University > Research > Conferences Cerrado Inglés Conventional IP networks connect places at great distances and meet the connectivity needs of their users. To perform each of these operations, each packet must pass through various network devices, which make individual routing decisions that make centralized network management difficult. These networks have been growing both in size and complexity, each day at a higher rate, which has generated a series of difficulties in personalization, integration, security, and optimization of these. As a solution, the Software-Defined Networking (SDN) architecture [1] was created, which promises to be a dynamic, manageable, profitable and adaptable architecture, thus becoming an ideal tool to handle large bandwidths and the development and implementation of customized applications, for different types of needs on communication networks. This document shows a performance analysis between SDN and a conventional IP network configured with the EIGRP and BGP routing protocols, establishing a configuration scenario with physical network equipment and with an SDN emulator called Mininet. The research methodology is based on the guidelines of the Cisco PPDIOO methodology and is developed in the following phases: 1. Elaboration of physical network topology with Cisco equipment, performing experiments with IPv4 and IPv6, measuring variables such as Jitter, Delay and Throughput. 2. Carrying out the same experiments and tests with SDN, in a network topology with similar characteristics to those already mentioned, but with OpenFlow switches. 3. Analysis of results, for which the behavior of jitter, delay and throughput variations of both scenarios is examined to make a series of comparisons (made with statistical analysis) concerning protocol, addressing, packet size among others. Finally, it was obtained as a result that SDN has a lower delay and jitter than the conventional IP network in some cases, as well as a more favorable throughput. metadata Hernandez, Leonel and Jimenez, Genett and Pranolo, Andri and Uc-Rios, Carlos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.uc@unini.edu.mx (2019) Comparative Performance Analysis Between Software-Defined Networks and Conventional IP Networks. In: 2019 5th International Conference on Science in Information Technology (ICSITech), 24-24 otubre de 2019, Yogyakarta, Indonesia.

Article Subjects > Social Sciences
Subjects > Engineering
Ibero-american International University > Research > Scientific Production Abierto Español Se identifica la correspondencia de procesos que interactúan en la dirección de proyectos para inducir a la reducción de costos y con ello a la optimización de los recursos en la construcción de edificios multifamiliares del Programa Mivivienda en Lima Metropolitana, Perú. La fase de planificación de los proyectos, donde se da la estructura de descomposición de los trabajos (EDT), no guarda relación con los trabajos realizados en la ejecución de las actividades, es decir, provoca una desarticulación entre la planificación y el control de los costos. Esta investigación aporta evidencia de que la correspondencia de procesos para determinar el presupuesto fue del 78%, seguido de los procesos para controlar los costos y para planificar con un 64%, siendo el proceso de estimar los costos con la menor correspondencia con un 53%. De acuerdo con estos resultados, se concluye que la reducción del costo después de aplicar el plan de mejora en la ejecución de una edificación multifamiliar es del 4.76% del costo directo del presupuesto base y terminando 2.32% antes del plazo programado. Se emplea el método deductivo, de orientación aplicada, con enfoque cuantitativo y de fuente de recolección de datos pro lectiva. El tipo del estudio es descriptivo, correlacional y explicativo, basado en un diseño no experimental, transversal y prospectivo. La población estuvo conformada por un total 128 proyectos, en donde se realizó un muestreo aleatorio sistemático, la encuesta es transversal y la técnica la entrevista es personal. El instrumento utilizado fue un cuestionario semiestructurado, constituido por preguntas cerradas, con valores dicotómicos. metadata Chavarry Vallejos, Carlos Magno and Rojo Gutiérrez, Marco Antonio mail UNSPECIFIED, marco.rojo@unini.edu.mx (2019) Correspondencia de procesos para optimizar costos en edificios multifamiliares en Perú. Pro Sciences: Revista de Producción, Ciencias e Investigación, 3 (29). pp. 50-64. ISSN 2588-1000

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español En el marco del proyecto de actualización del Módulo de Diseño de FUNIBER respecto a la certificación IPMA 4.0, este aporte presenta el diagnóstico inicial de una muestra de alumnos que aún no han cursado el Módulo de Diseño actualmente disponible. Esta propuesta está basada en la metodología de investigación-acción enfocada a la educación, y tiene el objetivo de describir la autoevaluación del nivel de competencias IPMA 4.0 de 36 alumnos del módulo mencionado. La metodología utilizada es de diseño no experimental, de tipo exploratorio y con enfoque mixto, en la cual se utilizó un instrumento de medición de 29 preguntas, asociadas a las 28 competencias que señala IPMA en sus tres áreas (Perspectiva, Personas y Práctica), excepto en el caso de Trabajo en Equipo en que se plantearon 2 preguntas para evaluar una misma competencia. Los resultados obtenidos se presentan en una proyección de Análisis de Componentes Principales y gráficos de dispersión, a partir de los cuales es posible concluir que los alumnos del Módulo de Diseño en el área de proyectos que comenzaron el curso transversal en mayo 2018 siguen una tendencia de distribución de frecuencia de respuestas con máximo en el nivel Medio para un 92% de las competencias estudiadas. Para la competencia Integridad y Confianza se encontró una distribución con máximo en el nivel Alto y para Orientación a Resultados una distribución equivalente entre los niveles Bajo y Alto. Finalmente, se recomienda la optimización del instrumento de evaluación considerando herramientas estadísticas y el enfoque desde 6 elementos propuesto por Tobón en 2008. metadata Miró Vera, Yini Airet mail UNSPECIFIED (2019) Diagnóstico del nivel de autoevaluación de los alumnos del módulo de diseño-área de proyectos de FUNIBER 2018, respecto a las competencias de certificación ipma 4.0. Project Design and Management, 1 (1). pp. 49-64. ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Seven aromatic polyamides and copolyamides were synthesized from two different aromatic diamines: 4,4′-(Hexafluoroisopropylidene)bis(p-phenyleneoxy)dianiline (HFDA) and 2,4-Aminobenzenesulfonic acid (DABS). The synthesis was carried out by polycondensation using isophthaloyl dichloride (1SO). The effect of an increasing molar concentration of the sulfonated groups, from DABS, in the copolymer properties was evaluated. Inherent viscosity tests were carried out to estimate molecular weights. Mechanical tests were carried out under tension, maximum strength ( σ max), Young’s modulus (E), and elongation at break (εmax) to determine their mechanical properties. Tests for water sorption and ion exchange capacity (IEC) were carried out. Proton conductivity was measured using electrochemical impedance spectroscopy (EIS). The results indicate that as the degree of sulfonation increase, the greater the proton conductivity. The results obtained showed conductivity values lower than the commercial membrane Nafion 115 of 0.0065 S cm−1. The membrane from copolyamide HFDA/DABS/1S0-70/30 with 30 mol DABS obtained the best IEC, with a value of 0.747 mmol g−1 that resulted in a conductivity of 2.7018 × 10−4 S cm−1, lower than the data reported for the commercial membrane Nafion 115. According to the results obtained, we can suggest that further developments increasing IEC will render membranes based on aromatic polyamides that are suitable for their use in PEM fuel cells. metadata Pali-Casanova, Ramón and Yam Cervantes, Marcial Alfredo and Zavala-Loría, José and Loría-Bastarrachea, María and Aguilar-Vega, Manuel and Dzul Lopez, Luis Alonso and Sámano Celorio, María Luisa and Crespo-Álvarez, Jorge and García Villena, Eduardo and Agudo-Toyos, Pablo and Méndez-Martínez, Francisco mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx, marialuisa.samano@uneatlantico.es, jorge.crespo@uneatlantico.es, eduardo.garcia@uneatlantico.es, pablo.agudo@uenatlantico.es, UNSPECIFIED (2019) Effect of Sulfonic Groups Concentration on IEC Properties in New Fluorinated Copolyamides. Polymers, 11 (7). p. 1169. ISSN 2073-4360

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español Las Tecnologías de la Información y Comunicación (TIC) se han convertido en herramientas fundamentales para apoyar los procesos de negocio. No obstante, su incorporación ha traído nuevas y sofisticadas amenazas y vulnerabilidades. Por ello, la gestión de riesgos en Tecnologías de Información es un factor determinante para garantizar la continuidad del negocio. Una de las primeras actividades que se deben abordar en la gestión de riesgos, es la evaluación del contexto organizacional, que arroja como resultado una comprensión de la empresa en torno a su estrategia para gestionar riesgos y al papel que tienen los empleados en las necesidades de control. En este artículo se definen un conjunto de indicadores basados en los procesos catalizadores de COBIT para determinar el nivel de madurez del contexto organizacional para la gestión de riesgos. Adicionalmente se propone una estrategia enfocada al recurso humano para la evaluación de las amenazas y vulnerabilidades. Los resultados de su aplicación permitieron constatar que a pesar de que se definen políticas en torno a la gestión de riesgos más del 70% de los empleados no las implementa a cabalidad, por lo cual, evaluar el contexto organizacional periódicamente y con indicadores claros es fundamental. metadata Guerrero Julio, Marlene Lucila and Uc-Rios, Carlos mail UNSPECIFIED, carlos.uc@unini.edu.mx (2019) Evaluación del contexto organizacional en la gestión del riesgo de tecnología de información con un enfoque basado en COBIT. Revista de Investigación en Tecnologías de la Información, 7 (14). pp. 38-51. ISSN 23870893

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español Las organizaciones requieren implementar proyectos cada vez con más frecuencia para poder adaptarse a los cambios del entorno en el que operan, minimizando riesgos y aprovechando oportunidades. Este contexto exige que las Oficinas en Gestión de Proyectos (PMO) y los Gerentes de Proyectos (PM) empleen mejores prácticas para encaminar al éxito el proyecto o la cartera de proyectos. Este éxito se logrará cuando el proyecto logre presentar los entregables de acuerdo a lo establecido en la planificación inicial, de acuerdo al cronograma y presupuesto dispuestos. El ámbito tan complejo de los proyectos y su naturaleza sistémica hacen que su gestión no sea una tarea fácil. Esto lleva a una tasa de fracaso bastante alta y pérdidas muy grandes para las organizaciones. En años recientes se ha realizado un cercano seguimiento a los resultados de los proyectos, las acciones de las Oficinas de Proyectos y los Gerentes de Proyectos con el objetivo de establecer la correlación entre variables (factores del entorno de proyectos y mejores prácticas) y resultados (éxito o fracaso). Los factores más destacados que contribuyen al éxito de un proyecto son: un efectivo patrocino de alto nivel que influya de forma efectiva en la organización para la toma de decisiones a favor del proyecto; un control de alcance que permita al proyecto mantenerse dentro de lo planificado y no modifique los entregables impactando el cronograma y el presupuesto; la alineación estratégica entre el proyecto y la organización a través de la generación de valor para los usuarios clave; la inversión en talento humano enfocada en generación de profesionales con capacidad de liderazgo y conocimientos técnicos en gestión empresarial y proyectos; y la presencia de una Oficina de Proyectos que tenga un alcance amplio en la organización que sea capaz de gestionar los recursos compartidos de forma eficiente e integrada metadata Prudencio Crispieri, Gonzalo mail UNSPECIFIED (2019) Factores de éxito y fracaso en la gestión de proyectos: un enfoque en las mejores prácticas. Project Design and Management, 1 (1). pp. 65-76. ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The objectives this study were to examine the integrated use of oil–coagulant for the direct extraction of coagulant from Moringa oleifera (MO) with 5% and 10% (NH4)2SO4 extractor solution to harvest Scenedesmus obliquus cultivated in urban wastewater and to analyze the oil extracted from MO and S. obliquus. An average content of 0.47 g of coagulant and 0.5 g of oil per gram of MO was obtained. Highly efficient algal harvest, 80.33% and 72.13%, was achieved at a dose of 0.38 g L−1 and pH 8–9 for 5% and 10% extractor solutions, respectively. For values above pH 9, the harvest efficiency decreases, producing a whitish water with 10% (NH4)2SO4 solution. The oil profile (MO and S. obliquus) showed contents of SFA of 36.24–36.54%, monounsaturated fatty acids of 32.78–36.13%, and polyunsaturated fatty acids of 27.63–30.67%. The biodiesel obtained by S. obliquus and MO has poor cold flow properties, indicating possible applications limited to warm climates. For both biodiesels, good fuel ignition was observed according to the high cetane number and positive correlation with SFA and negative correlation with the degree of saturation. This supports the use of MO as a potentially harmless bioflocculant for microalgal harvest in wastewater, contributing to its treatment, and a possible source of low-cost biodiesel. metadata Ruiz-Marin, Alejandro and Canedo-Lopez, Yunuen and Narvaez-Garcia, Asteria and Zavala Loría, José del Carmen and Dzul Lopez, Luis Alonso and Sámano Celorio, María Luisa and Crespo-Álvarez, Jorge and García Villena, Eduardo and Agudo-Toyos, Pablo mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.zavala@unini.edu.mx, luis.dzul@unini.edu.mx, marialuisa.samano@uneatlantico.es, jorge.crespo@uneatlantico.es, eduardo.garcia@uneatlantico.es, pablo.agudo@uenatlantico.es (2019) Harvesting Scenedesmus obliquus via Flocculation of Moringa oleifera Seed Extract from Urban Wastewater: Proposal for the Integrated Use of Oil and Flocculant. Energies, 12 (20). p. 3996. ISSN 1996-1073

Revista Subjects > Engineering Europe University of Atlantic > Research > Scientific Magazines
Fundación Universitaria Internacional de Colombia > Research > Scientific Magazines
Ibero-american International University > Research > Scientific Magazines
Ibero-american International University > Research > Scientific Magazines
Universidad Internacional do Cuanza > Research > Scientific Magazines
Abierto Inglés La revista Project Design and Management nace como una publicación semestral con el objetivo de invitar a la reflexión y el debate para entender correctamente cual es la función, aporte y responsabilidad del área Project, Design y Management (PDM) en la actualidad, no solo del mundo académico sino además en el espacio profesional. Comenzando por entender que el área de PDM, es un espacio interdisciplinario, bajo un concepto innovador, colaborativo e integral hacia todas las áreas que participan, no solo en la administración de los recursos necesarios para un proyecto sino además, en el diseño o desarrollo del mismo. Los artículos incluidos en esta revista se publican en español, portugués e inglés, atendiendo de esta manera a un espacio internacional y multicultural que permita una gestión del conocimiento actual, propia y necesaria del área PDM. metadata Multi-Lingual Scientific Journals, (MLS) mail mls@devnull.funiber.org (2019) MLS Project Design and Management. [Revista]

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Abierto Español Las radiaciones ionizantes son parte de nuestra vida diaria, pero su exposición prolongada con el tiempo produce en seres vivos efectos letales o subletales, siendo estos últimos reversibles. Lo anterior requiere un estudio sobre la radiación recibida por los seres vivos y estrategias para prevenir los efectos negativos. En este sentido, existen tecnologías disponibles para medir la radiación ionizante y no ionizante, pero su acceso es costoso, adolecen de conexiones a Internet, almacenamiento de bases de datos, información en tiempo real y la no flexibilidad de uso. En el presente trabajo se diseña e implementa un dispositivo de medición de radiaciones de bajo costo, representando una reducción hasta del 70% en el precio comercial comparado con el medidor Geiger Müller LUDLUM serie No. 307891 modelo 14C, con una eficiencia del 98% en la medición de los datos, de acuerdo a la calibración realizada por el laboratorio secundario de Colombia, autorizado por el Ministerio de Energía. El dispositivo ensamblado incluye conexión a Internet, medidores de radiaciones y hardware que con IoT contribuyen en los procesos de monitoreo y recopilación de datos. Adicionalmente, se implementó un sistema que ayuda a optimizar un dron, para transportar en zonas montañosas o de difícil acceso, se adaptó la tecnología LIDAR para la utilización de un algoritmo que permita la capacidad de detección y evasión de obstáculos en caso de que el piloto pierda comunicación con el dron. La gran innovación del trabajo consiste en realizar dosimetría en campos abiertos con equipos portátiles e inalámbricos, permitiendo en tiempo real tomar decisiones vitales en la exposición a la radiación ionizante. Los resultados entre el dosímetro análogo calibrado y el basado en IoT de este trabajo, muestran gran concordancia ya que el error relativo en promedio es del 4%, lo que garantiza la confiabilidad de mediciones realizadas con este dispositivo. metadata Baena Navarro, Ruben Enrique mail rubenbaena@hotmail.com (2019) Optimización de un dron para dosimetría ambiental. Doctoral thesis, Universidad Internacional Iberoamericana México.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Cerrado Inglés The campus wireless networks have many users, who have different roles and network requirements, ranging from the use of educational platforms, informative consultations, emails, among others. Currently due to the inefficient use of network resources and little wireless planning, caused by the growth of the technological infrastructure (which is often due to daily worries, rather than to a lack of preparation by those in charge of managing the network), There are two essential factors that truncate the requirement of having a stable and robust network platform. First, the degradation of the quality of services perceived by users, and second, the congestion caused by the high demand for convergent traffic (video, voice, and data). Both factors imply great challenges on the part of the administrators of the network, which in many occasions are overwhelmed by permanent incidences of instability, coverage, and congestion, as well as the difficulty of maintaining it economically. The present investigation seeks to propose a process of optimization of the infrastructure and parameters of the configuration of a wireless network, that allows maximizing the level of satisfaction of the users in Higher Education Institutions. In the first place, it is expected to determine an adequate methodology to estimate the level of satisfaction of the users (defining a mathematical criterion or algorithm based on the study variables [1], characterize the environment in which the project will be developed, making a complete study of the wireless conditions and implement optimization strategies with software-defined networks (SDN). SDN is a concept in computer networks that allows network management to be carried out efficiently and flexibly, separating the control plane from the data plane into network devices. SDN architecture consists of an infrastructure layer which is a collection of network devices connected to the SDN Controller using protocol (OpenFlow) as a protocol [2]. Also, SDN will study traffic patterns on the network as a basis for optimizing network device usage [3]. The phases of the research will be carried out following the life cycle defined by the Cisco PPDIOO methodology (Prepare, Plan, Design, Implement, Operate, Optimize) metadata Hernandez, Leonel and Balmaceda, Nidia and Hernandez, Hugo and Vargas, Carlos and De La Hoz, Emiro and Orellano, Nataly and Vasquez, Emilse and Uc-Rios, Carlos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.uc@unini.edu.mx (2019) Optimization of a WiFi Wireless Network that Maximizes the Level of Satisfaction of Users and Allows the Use of New Technological Trends in Higher Education Institutions. Lecture notes in computer science, 11587. pp. 144-160. ISSN 0302-9743

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español El artículo está encaminado a presentar de manera científica la correlación existente entre la magnitud del riesgo con relación: a las variables sociodemográficas, a las acciones de prevención que realiza la empresa contratista, al comportamiento del personal y a la percepción del riesgo al ejecutar trabajos en alturas en actividades de operación y mantenimiento de torres de telecomunicaciones. El estudio fue realizado en Ecuador y Colombia. Este tema es de vital importancia por ser una actividad de alto riesgo que debe ser ejecutada con rapidez y precisión debido a la necesidad constante de que el mundo se encuentre comunicado a través de la tecnología. Para obtener los resultados de esta investigación se utilizó un instrumento de medición que consta de 4 bloques de preguntas, con un total de 35 preguntas. El mismo fue aplicado a una muestra que se estableció estadísticamente en 251 trabajadores de empresas proveedoras de servicios de operación y mantenimiento que realizan trabajos en alturas en torres de telecomunicaciones en Ecuador y Colombia. Para el análisis estadístico se utilizó el programa SPSS versión 25. A las respuestas recopiladas se les aplicó el análisis de Kruskall Wallis obteniendo como resultado que cuatro variables influyen en la percepción de la magnitud del riesgo: la gravedad de las consecuencias, el potencial catastrófico, la vulnerabilidad personal y la verificación del estado de los equipos de protección que cada colaborador debe llevar. metadata Abad Arévalo, Candy and Martínez Espinosa, Julio César and Fierro, Andrea Karina mail UNSPECIFIED, ulio.martinez@unini.edu.mx, UNSPECIFIED (2019) Percepción del riesgo en trabajos en alturas en empresas de telecomunicaciones de Ecuador y Colombia. MLS Psychology Research, 2 (2). ISSN 2605-5295

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Cerrado Español Hacia finales del año 2018 el Observatorio de Conflictos Mineros en América Latina informó de la existencia de 254 conflictos socio-ambientales activos, 273 proyectos mineros involucrados y 186 casos de criminalización de la protesta. Dichos conflictos se encuentran vinculados a operaciones mineras anárquicas, marcos institucionales debilitados y una participación social desarticulada. En este contexto, la investigación se planteó como objetivo diseñar un modelo para guiar la planificación sostenible de ordenamientos territoriales, con base en la comprensión de los espacios mineros, la gestión del riesgo de desastres en convergencia con la adaptación al cambio climático y la generación de resiliencia en Latinoamérica y el Caribe. Este fin se cimienta en los Objetivos de las Naciones Unidas para el Desarrollo Sostenible, Agenda 2030 (ODS), las premisas de la United Nations Office for Disaster Risk Reduction (UNISDR), las previsiones del Intergovernmental Panel on Climate Change (IPCC) y, las recomendaciones del International Council on Mining and Metals (ICMM). El estudio de tipo proyectivo posee un diseño de campo no-experimental de corte transversal. Correspondió un muestreo aleatorio simple con resultado de 67 ONG (N = 80). Para el diagnóstico territorial se construyó una escala mediante el método holístico-hermenéutico, ya reflejando consistencia interna (α = 0,95; p < 0,05). Se elaboró el modelo orientativo de la planificación territorial sostenible de la minería (MOPTSM), siguiendo las asociaciones significativas entre sus componentes, los impactos socio-ambientales de la minería (W = 0,936; γ = -0,867; p < 0,01), y con respecto a la gestión de riesgo de desastres (d = 0,947; γ = 1,000; p < 0,01). La investigación concluye que el Modelo mitiga directamente las causas que producen a los impactos socio-ambientales perjudiciales y promueve, con sus enfoques transversales, la reducción de riesgos en los espacios mineros. metadata Malave Figueroa, Adelso Nikolai mail kunico596@hotmail.com (2019) Planificación territorial sostenible sobre la regulación de la minería en América Latina, con enfoque en gestión del riesgo, resiliencia y adaptación al cambio climático. Doctoral thesis, Universidad Internacional Iberoamericana.

2018

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Abierto Español En el marco de la ejecución del megaproyecto minero Las Bambas, se tuvo regulada la operación industrial de suministro de combustible Diésel B-5 bajo el contrato CB-029-12 con una duración contractual de 5 años a partir del 2012. Se tienen como partes a Xstrata Copper, como entidad contratante, y a Petróleos del Perú – Petroperú, como entidad contratada. Por un lado, aparece Xstrata Copper como compañía minera global que opera en 19 países y es uno de los grandes productores de cobre; por otro lado, aparece Petróleos del Perú – Petroperú como empresa de propiedad del Estado Peruano y de derecho privado dedicada al transporte, refinación, distribución y comercialización de combustibles y otros productos derivados del petróleo. Adicionalmente, aparece Servosa Cargo como operador logístico de Petróleos del Perú – Petroperú que se dedica al transporte de combustibles líquidos y lubricantes hacia minas, obras de infraestructura y gran industria. Respecto al desempeño de la operación industrial se observa hasta un 8% de bienes no entregados entre los años 2012 y 2013, incidentes de desabastecimiento intempestivo de combustible en instalaciones del cliente, y detección de incumplimiento de la especificación del Nivel de Limpieza del combustible entre otros. Estas fallas son atribuibles a que en la relación comercial no existe una metodología de gestión de proyectos. El Project Management Institute (PMI) es una organización internacional especializada en gestión de proyectos y ha desarrollado buenas prácticas para lograr el gerenciamiento efectivo de proyectos. La presente investigación consiste en comparar las 10 áreas de conocimiento en gestión de proyectos identificadas por el PMI con aquellas aplicadas para el desarrollo del contrato CB-029-12. La aportación al estado del arte del presente trabajo es establecer una metodología a medida para el proyecto minero Las Bambas que incluya la gestión de proyectos incluyendo como una mejora la gestión de la prevención de riesgos laborales y ambientales. metadata Azálgara Bedoya, Mauricio mail mazalgarab@gmail.com (2018) Análisis de una operación industrial de suministro de combustible Diésel B-5 y desarrollo de solución de optimización basada en las metodologías del PMI, ISO 9000, ISO 14000 y OHSAS 18000. Doctoral thesis, Universidad Internacional Iberoamericana México.

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español En este trabajo se presenta el diseño e implementación de un modelo basado en un dispositivo que contiene elementos de control digital e integra un sistema automático de detección y diagnóstico de fallas que puede ser usado como herramienta para la orientación de los operarios durante la presencia de una falla potencial. Este sistema se fundamenta en el control digital bajo la implementación de una tarjeta de adquisición de datos (DAQ) y un software aplicativo programable. Con la realización de este estudio se hace un aporte al desarrollo del mantenimiento productivo total y su alcance va dirigido a contribuir significativamente en el mantenimiento autónomo metadata Barros Leal, Javier Augusto and Martínez Espinosa, Julio César mail UNSPECIFIED, ulio.martinez@unini.edu.mx (2018) Modelo para detección y simulación de fallas bajo la gestión de mantenimiento y proyectos. Informador Técnico, 82 (1). p. 11. ISSN 0122-056X

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Inglés Background: Microalgae remove nutrients from wastewater with the possibility of grow in mixotrophic and heterotrophic cultures. However, the effluent quality can modify the profile of fatty acids and biodiesel quality. Methods: Phototrophic and mixotrophic (light / dark; 12/12 h) cultures of Scenedesmus obliquus on domestic wastewater (WW) and Artificial Wastewater (AW) was carried out to evaluate the lipid accumulation and fatty acid methyl esters profile. The microalgae was first cultivated in an enriched medium (90 mg N-NH4 L-1) and subsequently under nitrogen limitation (30, 20 and 10 mg N L-1) using a two-stage process for both culture media. Results: A higher cell density in enriched AW medium was obtained in phototrophic and mixotrophic culture of 19 x 106 cell mL-1 and 20 x 106 cell mL-1, respectively; than for WW (13 x 106 cell mL-1 and 14 x 106 cell mL-1, respectively). The nitrogen limitation (from 90 to 20 mg N L-1) for AW increased the lipid content by 5.0% and 17.28% under phototrophic and mixotrophic conditions, respectively and only 5% for WW in mixotrophic culture. Conclusion: The high Cetane Number (CN) show a positive correlation with high Saturated Fatty Acids (SFA) content and negative correlation with the Degree of Saturation (DU), suggesting a good ignition of fuel. The Cold Filter Plugging Point (CFPP) (-6.02 to -8.45 °C) and Oxidative Stability (OS) (3.53 - 6.6 h) propose to Scenedesmus obliquus as a candidate in the production of biodiesel and potential application for an integral urban wastewater treatment system. metadata Ruiz-Marin, Alejandro and Canedo-López, Yunuen and Narvaez-García, Asteria and Robles-Heredia, Juan Carlos and Zavala Loría, José del Carmen mail UNSPECIFIED (2018) Productivity and Biodiesel Quality of Fatty Acids Contents from Scenedesmus obliquus in Domestic Wastewater Using Phototrophic and Mixotrophic Cultivation Systems. The Open Biotechnology Journal, 12 (1). pp. 229-240. ISSN 1874-0707

2017

Article Subjects > Engineering Ibero-american International University > Research > Scientific Production Abierto Español La destilación discontinua es un proceso que se utiliza para la separación de pequeñas cantidades de mezclas de componentes que tienen un alto valor para la industria o que se deben eliminar de las corrientes de desecho por considerarse que tienen impacto contaminante en el medio ambiente. Siendo la destilación discontinua un proceso demandante de altas cantidades de energía se hace necesario conocer si la composición de la mezcla inicial tiene algún efecto en la eficiencia termodinámica del proceso, por ello, el presente trabajo considera el efecto en la eficiencia termodinámica de la concentración del componente más volátil de la mezcla de alimentación y la relación de reflujo utilizada para alcanzar el producto deseado. Las Volatilidades relativas se obtuvieron utilizando el punto de burbuja y la Ecuación de Antoine. Las volatilidades relativas se calcularon en cada período, antes de obtener el producto el proceso se llevó hasta el estado estable para enriquecer el producto hasta la máxima concentración que permite la columna. metadata Narváez-García, A. and Robles-Heredia, J.C. and Zavala Loría, José del Carmen and González-Nobles, E.C. and Torres-Díaz, A.E.J. mail UNSPECIFIED (2017) Efecto del reflujo en la eficiencia termodinámica de la separación de una mezcla utilizando destilación discontinua. Journal of Energy, Engineering Optimization and Sustainability, 1 (1). pp. 51-60. ISSN 2448-8186

Thesis Subjects > Engineering Ibero-american International University > Research > Doctoral Thesis Cerrado Español En la actualidad existe una oportunidad para las organizaciones a partir de las capacitaciones que ellas deben brindar en diversas áreas, con énfasis en Seguridad y Salud Ocupacional (SySO) –área no excluyente-. Por diversos motivos (que atraviesan el desconocimiento general, como las formas de implementación y seguimiento) los profesionales encargados de brindarlas y los gerentes no toman las acciones necesarias encaminadas a innovar en esta cuestión, desaprovechando así el auge propiciado por el desarrollo y la accesibilidad tecnológica actual. ¿Podría una organización beneficiarse a partir de la conformación de un Entorno Virtual de Trabajo Colaborativo (EVTC) que incorpore un modelo de enseñanza dinámico que incluya instrumentos, métodos y procedimientos soportados por las Tecnologías de la Información y Comunicación (TIC) junto al conocimiento teórico necesario de diversos paradigmas educativos y herramientas que potencien la transmisión del conocimiento y genere resultados sinérgicos para todos los actores? Para demostrarlo, se propone una modalidad de diseño metodológico enfocada a un experimento denominado puro o verdadero, que se nutrirá de un estudio de campo conceptualizado, definido, creado e implementado ad hoc en una Cooperativa ubicada en la ciudad de Concordia, Argentina para con éste obtener respuestas que permitan demostrar la correlación existente entre una correcta conformación de un EVTC que incluya un modelo de aprendizaje soportado por las TIC y la obtención de beneficios multifactoriales producto del manejo racional del conocimiento. Logrado comprobar lo antes expuesto, y a partir de la nueva oportunidad generada, se describirán alternativas para aquellas organizaciones que decidan continuar su camino evolutivo en el manejo del conocimiento a partir de la implementación y conformación de un modelo de Gestión del Conocimiento que requiere una especial atención a factores internos que involucre a todos los estamentos y sectores de la organización. El atravesamiento de los niveles madurativos organizacionales del uso del conocimiento otorgará beneficios aditivos en el corto o mediano plazo y sinérgicos en el largo plazo dependiendo la forma, velocidad y nivel de implementación de las actividades nucleadas y descriptas a partir de la descomposición en objetivos de la solución ofrecida de esta investigación que se nutre de la innovación como motor y que busca como fin la mejora en la competitividad como herramienta de entropía negativa. metadata Mazzetto, Matías Ariel mail mmazeto@yahoo.com (2017) Estrategia metodológica para la gestión del conocimiento organizacional soportado por las TIC utilizando un entorno virtual de trabajo colaborativo (EVTC). Caso : área de seguridad y salud ocupacional (SySO) en empresa cooperativa industrial. Doctoral thesis, Universidad Internacional Iberoamericana.

Other Subjects > Engineering Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Universidad Internacional do Cuanza > Research > Projects I+D+I
Cerrado Español El objetivo principal del proyecto es el desarrollo de un conjunto de tecnologías digitales estandarizables que permitan a la empresa crear una API (Application Programming Interface) de interconexión entre una revista científica y entidades externas, como pueden ser bibliotecas universitarias y otros intermediarios de recursos de información. En síntesis, las principales innovaciones del proyecto son: la creación de un formato estándar de intercambio de datos para los artículos científicos, monetizar la difusión de contenidos científicos en un formato B2B, la implementación de una nueva funcionalidad para la plataforma OJS inexistente en el mercado, así como facilitar el intercambio de datos y acceso a la información entre plataformas. metadata UNSPECIFIED mail UNSPECIFIED (2017) TICartículo: Tecnologías de intercambio de datos de artículos científicos. Repositorio de la Universidad.

2014

Other Subjects > Engineering
Subjects > Teaching
Ibero-american International University > Research > Projects I+D+I Cerrado Español El proyecto pretende lograr la creación de escuelas-taller taller de producción de cerámica y melífera artesanal en la localidad de Calkiní, al norte de Campeche, con el fin de fomentar las técnicas tradicionales y de reducir los gastos de producción de cerámica y miel y de insertar de forma gradual esas metodologías en la estructura socioeconómica de la región metadata UNINI, mail UNSPECIFIED (2014) Antropología y desarrollo sostenible de la producción alfarera y melífera artesanal del norte de Campeche. Repositorio de la Universidad. (Unpublished)

This list was generated on Thu Jan 26 23:40:20 2023 UTC.

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Deep Learning-Based Real Time Defect Detection for Optimization of Aircraft Manufacturing and Control Performance

Monitoring tool conditions and sub-assemblies before final integration is essential to reducing processing failures and improving production quality for manufacturing setups. This research study proposes a real-time deep learning-based framework for identifying faulty components due to malfunctioning at different manufacturing stages in the aerospace industry. It uses a convolutional neural network (CNN) to recognize and classify intermediate abnormal states in a single manufacturing process. The manufacturing process for aircraft factory products comprises different phases; analyzing the components after the integration is labor-intensive and time-consuming, which often puts the company’s stake at high risk. To overcome these challenges, the proposed AI-based system can perform inspection and defect detection and alleviate the probability of components’ needing to be re-manufacturing after being assembled. In addition, it analyses the impact value, i.e., rework delays and costs, of manufacturing processes using a statistical process control tool on real-time data for various manufactured components. Defects are detected and classified using the CNN and teachable machine in the single manufacturing process during the initial stage prior to assembling the components. The results show the significance of the proposed approach in improving operational cost management and reducing rework-induced delays. Ground tests are conducted to calculate the impact value followed by the air tests of the final assembled aircraft. The statistical results indicate a 52.88% and 34.32% reduction in time delays and total cost, respectively.

Producción Científica

Imran Shafi mail , Muhammad Fawad Mazhar mail , Anum Fatima mail , Roberto Marcelo Álvarez mail roberto.alvarez@uneatlantico.es, Yini Airet Miró Vera mail yini.miro@uneatlantico.es, Julio César Martínez Espinosa mail ulio.martinez@unini.edu.mx, Imran Ashraf mail ,

Shafi

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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight

Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in the scientific community, especially in the health sector. With the aim of providing useful tools to help nutritionists and dieticians, research focused on the development of ML and Deep Learning (DL) algorithms and models is searched in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol has been used, a very common technique applied to carry out revisions. In our proposal, 17 articles have been filtered in which ML and DL are applied in the prediction of diseases, in the delineation of treatment strategies, in the improvement of personalized nutrition and more. Despite expecting better results with the use of DL, according to the selected investigations, the traditional methods are still the most used and the yields in both cases fluctuate around positive values, conditioned by the databases (transformed in each case) to a greater extent than by the artificial intelligence paradigm used. Conclusions: An important compilation is provided for the literature in this area. ML models are time-consuming to clean data, but (like DL) they allow automatic modeling of large volumes of data which makes them superior to traditional statistics.

Producción Científica

Antonio Ferreras mail , Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Rosmeri Martínez-Licort mail , Iñaki Elío Pascual mail inaki.elio@uneatlantico.es, Kilian Tutusaus mail kilian.tutusaus@uneatlantico.es, Thomas Prola mail thomas.prola@uneatlantico.es, Juan Luis Vidal Mazón mail juanluis.vidal@uneatlantico.es, Benjamín Sahelices mail , Isabel de la Torre Díez mail ,

Ferreras

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Integration of Sustainable Criteria in the Development of a Proposal for an Online Postgraduate Program in the Projects Area

Regulatory dispersion and a utilitarian use of sustainability deepen the gap within the teaching–learning process and limit the introduction of sustainable criteria in organizations through projects. The objective of this research consisted in developing a sustainable and holistic educational proposal for an online postgraduate program belonging to the Universidad Europea del Atlántico (UNEATLANTICO) within the field of projects. The proposal was based on the instrumentalization of a model comprised of national and international bibliographic references, resulting in a sustainability guide with significant improvements in relation to the reference standard par excellence: ISO 26000:2010. This guide formed the basis of a sustainability management plan, which was key in the project methodology and during the development of sustainable objectives and descriptors for each of the subjects. Lastly, the entities, attributes, and cardinal relationships were established for the development of a physical model used to facilitate the management of all this information within a SQL database. The rigor when determining the educational program, as well as the subsequent analysis of results as supported by the literature review, presupposes the application of this methodology toward other multidisciplinary programs contributing to the adoption of good sustainability practices within the educational field

Producción Científica

Mónica Gracia Villar mail monica.gracia@uneatlantico.es, Roberto Marcelo Álvarez mail roberto.alvarez@uneatlantico.es, Santiago Brie mail santiago.brie@uneatlantico.es, Yini Airet Miró Vera mail yini.miro@uneatlantico.es, Eduardo García Villena mail eduardo.garcia@uneatlantico.es,

Gracia Villar

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A commentary of factors related to player availability and its influence on performance in elite team sports

Elite performance and sporting success are often the result of optimal integration and synergy of all components of sports preparedness (i.e., health, technical and tactical skills, bioenergetic and neuromuscular abilities and capacities, anthropometric characteristics, cognition, emotions, creativity, or personality), which evolve because of systematic long-term sports preparation. However, the relative importance of these characteristics varies between individual and team sports. While some individual sports require a high standard of bioenergetic and neuromuscular abilities and capacities, team sports performance is closely related to technical and tactical skills, which may compensate for weakness within the fitness level (1). Nonetheless, successful team sport performances seem to be much more dependent on the interaction among a wide range of factors than on the maximum development of one or two factors in isolation. In team sports, elite performance emerges from the interaction among the individual parts (2) to overcome the opponent during competition. Sports may be categorized according to the degree of predictability of the environment that they are played in (3). Team sports occur in highly unpredictable environments due to the interactions with both teammates and opponents, with performance dealing with this unpredictability. Thus, it is important to have a clear understanding of the integrative systems and the principles that rule their interactions with the environment, keeping in mind the main aim of the process: developing the diversity/unpredictability potential of athletes/teams (4) to afford the emergence of rich patterns of behavior from players to adapt quickly and effectively in dynamically changing and unpredictable environments (5). Performance in team sports is affected by several factors that affect the organization of training and competitions. These include, for example, COVID-19 cases (6), PCR tests (7), air flights and their effects prior to competition (8), injuries (9), or match-congested schedules (10). The interaction among these factors may also influence player availability. The concept of player availability is a common one in elite team sports. Available players can be considered the ones who are injury-free and ready to compete whether the head coach chooses to put them on the lineup. Thus, an available state would be when a player is fit and recovered enough to compete. On the other hand, player unavailability would be considered a state which includes injury, sanction or suspension, or other reasons that would keep a player out of match. However, this topic needs to be explored more in elite team sport environments. Considering previous enriching work, it remains important to further progress and provide academic knowledge in order to support coaches/managers, strength and conditioning coaches, sport scientists, and medical team members (e.g., doctors, physicians, and physiotherapists) in their working environments. While widely-advocated scientific groundwork is considered throughout this manuscript, the main aim of this opinion article is to provide a review of factors related to player availability and its influence on performance in elite team sports (Figure 1). Finally, some practical suggestions and recommendations are provided to deal with constant alterations in player's availability and performance fluctuations.

Producción Científica

Julio Calleja-González mail , Javier Mallo mail , Francesc Cos mail , Jaime Sampaio mail , Margaret T. Jones mail , Diego Marqués-Jiménez mail , Juan Mielgo-Ayuso mail , Tomás T. Freitas mail , Pedro E. Alcaraz mail , Javier Vilamitjana mail , Sergio J. Ibañez mail , Francesco Cuzzolin mail , Nicolás Terrados mail , Stephen P. Bird mail , Asier Zubillaga mail , Thomas Huyghe mail , Igor Jukic mail , Alberto Lorenzo mail , Irineu Loturco mail , Anne Delextrat mail , Xavi Schelling mail , Miguel Gómez-Ruano mail , Isaac López-laval mail , Jairo Vazquez mail , Daniele Conte mail , Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Antonio Bores Cerezal mail antonio.bores@uneatlantico.es, Davide Ferioli mail , Franc García mail , Xavier Peirau mail , Rafael Martin-Acero mail , Carlos Lago-Peñas mail ,

Calleja-González

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Anthocyanins: what do we know until now?

Diets enriched in plant-based foods are associated with the maintenance of a good well-being and with the prevention of many non-communicable diseases. The health effects of fruits and vegetables consumption are mainly due to the presence of micronutrients, including vitamins and minerals, and polyphenols, plant secondary metabolites. One of the most important classes of phenolic compounds are anthocyanins, that confer the typical purple-red color to many foods, such as berries, peaches, plums, red onions, purple corn, eggplants, as well as purple carrots, sweet potatoes and red cabbages, among others. This commentary aims to briefly highlight the progress made by science in the last years, focusing on some unexpected aspects related with anthocyanins, such as their bioavailability, their health effects and their relationship with gut microbiota

Producción Científica

Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Danila Cianciosi mail , José M. Alvarez-Suarez mail , José L. Quiles mail jose.quiles@uneatlantico.es, Tamara Y. Forbes-Hernández mail , María D. Navarro-Hortal mail , Michele Machì mail , Ramón Pali-Casanova mail ramon.pali@unini.edu.mx, Julio César Martínez Espinosa mail ulio.martinez@unini.edu.mx, Xiumin Chen mail , Di Zhang mail , Weibin Bai mail , Tian Lingmin mail , Bruno Mezzetti mail , Maurizio Battino mail maurizio.battino@uneatlantico.es, Yasmany Armas Diaz mail ,

Giampieri