Optimización de un dron para dosimetría ambiental.
Tesis Materias > Ingeniería Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Cerrado 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.
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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.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | Radiaciones, Dosimetría, Mediciones, Internet de las cosas (IoT), Dron |
| Clasificación temática: | Materias > Ingeniería |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 26 Nov 2021 23:55 |
| Ultima Modificación: | 20 Sep 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/452 |
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Mediterranean Diet and Quality of Life in Adults: A Systematic Review
Background/Objectives: With the increasing life expectancy and, as a result, the aging of the global population, there has been a rise in the prevalence of chronic conditions, which can significantly impact individuals’ health-related quality of life, a multidimensional concept that comprises an individual’s physical, mental, and social wellbeing. While a balanced, nutrient-dense diet, such as Mediterranean diet, is widely recognized for its role in chronic disease prevention, particularly in reducing the risk of cardiovascular diseases and certain cancers, its potential benefits extend beyond these well-known effects, showing promise in improving physical and mental wellbeing, and promoting health-related quality of life. Methods: A systematic search of the scientific literature in electronic databases (Pubmed/Medline) was performed to identify potentially eligible studies reporting on the relation between adherence to the Mediterranean diet and health-related quality of life, published up to December 2024. Results: A total of 28 studies were included in this systematic review, comprising 13 studies conducted among the general population and 15 studies involving various types of patients. Overall, most studies showed a significant association between adherence to the Mediterranean diet and HRQoL, with the most significant results retrieved for physical domains of quality of life, suggesting that diet seems to play a relevant role in both the general population and people affected by chronic conditions with an inflammatory basis. Conclusions: Adherence to the Mediterranean diet provides significant benefits in preventing and managing various chronic diseases commonly associated with aging populations. Furthermore, it enhances the overall health and quality of life of aging individuals, ultimately supporting more effective and less invasive treatment approaches for chronic diseases.
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Novel Transfer Learning Approach for Detecting Infected and Healthy Maize Crop Using Leaf Images
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Novel transfer learning based bone fracture detection using radiographic images
A bone fracture is a medical condition characterized by a partial or complete break in the continuity of the bone. Fractures are primarily caused by injuries and accidents, affecting millions of people worldwide. The healing process for a fracture can take anywhere from one month to one year, leading to significant economic and psychological challenges for patients. The detection of bone fractures is crucial, and radiographic images are often relied on for accurate assessment. An efficient neural network method is essential for the early detection and timely treatment of fractures. In this study, we propose a novel transfer learning-based approach called MobLG-Net for feature engineering purposes. Initially, the spatial features are extracted from bone X-ray images using a transfer model, MobileNet, and then input into a tree-based light gradient boosting machine (LGBM) model for the generation of class probability features. Several machine learning (ML) techniques are applied to the subsets of newly generated transfer features to compare the results. K-nearest neighbor (KNN), LGBM, logistic regression (LR), and random forest (RF) are implemented using the novel features with optimized hyperparameters. The LGBM and LR models trained on proposed MobLG-Net (MobileNet-LGBM) based features outperformed others, achieving an accuracy of 99% in predicting bone fractures. A cross-validation mechanism is used to evaluate the performance of each model. The proposed study can improve the detection of bone fractures using X-ray images.
Aneeza Alam mail , Ahmad Sami Al-Shamayleh mail , Nisrean Thalji mail , Ali Raza mail , Edgar Aníbal Morales Barajas mail , Ernesto Bautista Thompson mail ernesto.bautista@unini.edu.mx, Isabel de la Torre Diez mail , Imran Ashraf mail ,
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Hybrid Model with Wavelet Decomposition and EfficientNet for Accurate Skin Cancer Classification
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Nut Consumption Is Associated with Cognitive Status in Southern Italian Adults
Background: Nut consumption has been considered a potential protective factor against cognitive decline. The aim of this study was to test whether higher total and specific nut intake was associated with better cognitive status in a sample of older Italian adults. Methods: A cross-sectional analysis on 883 older adults (>50 y) was conducted. A 110-item food frequency questionnaire was used to collect information on the consumption of various types of nuts. The Short Portable Mental Status Questionnaire was used to assess cognitive status. Multivariate logistic regression analyses were performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between nut intake and cognitive status after adjusting for potential confounding factors. Results: The median intake of total nuts was 11.7 g/day and served as a cut-off to categorize low and high consumers (mean intake 4.3 g/day vs. 39.7 g/day, respectively). Higher total nut intake was significantly associated with a lower prevalence of impaired cognitive status among older individuals (OR = 0.35, CI 95%: 0.15, 0.84) after adjusting for potential confounding factors. Notably, this association remained significant after additional adjustment for adherence to the Mediterranean dietary pattern as an indicator of diet quality, (OR = 0.32, CI 95%: 0.13, 0.77). No significant associations were found between cognitive status and specific types of nuts. Conclusions: Habitual nut intake is associated with better cognitive status in older adults.
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