Habitação de Interesse Social Sustentável na cidade de Guaíra, Brasil
Tesis
Materias > Ingeniería
Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster
Cerrado
Portugués
Na atualidade se constata no mundo todo um grande déficit habitacional. Governos tentam diminuir este índice oferecendo habitação apenas como um teto, na busca pela diminuição momentânea destes números, sem estudos, planejamento e cuidado com essas famílias que se encontram em estado de vulnerabilidade social. Um dos caminhos possíveis, e sustentável, a ser adotado para a diminuição deste elevado índice é oferecer habitação de interesse social mas pensando em qualidade de vida dos usuários e não apenas diminuição dos números deste indicador. No Brasil, o déficit habitacional é de aproximadamente 12%, que além da elevada quantidade ainda está atrelado ao problema de como oferecer habitação de interesse social de qualidade e com conceitos sustentáveis. Este trabalho tem como objetivo principal propor um pré-projeto arquitetônico de habitação de interesse social sustentável afim de contribuir com qualidade para a diminuição desta necessidade na cidade de Guaíra. Para isso, se apresentam alguns caminhos na arquitetura e no urbanismo que podem ser seguidos em busca do desenvolvimento sustentável e de um projeto arquitetônico de qualidade, um destes caminhos é o da arquitetura bioclimática, que apresenta conceitos passivos e determinantes para uma edificação energeticamente eficiente, aliada a outras características sustentáveis, onde o projeto arquitetônico tem características amparadas por dados climatológicos da micro região em que a edificação será executada. Então, através de um projeto de pesquisa não experimental, com finalidade aplicada, numa abordagem mista e com pesquisa do tipo bibliográfica, documental e com alcance projetiva, o resultado foi um pré-projeto arquitetônico, o qual teve atendido todo o requisitado pelo programa de necessidades e os conceitos e estratégias da arquitetura bioclimática, gerais e particulares ao local, aplicados a um conjunto de edificações de habitações de interesse social.
metadata
Fank, Daniele
mail
danifank@hotmail.com
(2022)
Habitação de Interesse Social Sustentável na cidade de Guaíra, Brasil.
Masters thesis, SIN ESPECIFICAR.
Resumen
Na atualidade se constata no mundo todo um grande déficit habitacional. Governos tentam diminuir este índice oferecendo habitação apenas como um teto, na busca pela diminuição momentânea destes números, sem estudos, planejamento e cuidado com essas famílias que se encontram em estado de vulnerabilidade social. Um dos caminhos possíveis, e sustentável, a ser adotado para a diminuição deste elevado índice é oferecer habitação de interesse social mas pensando em qualidade de vida dos usuários e não apenas diminuição dos números deste indicador. No Brasil, o déficit habitacional é de aproximadamente 12%, que além da elevada quantidade ainda está atrelado ao problema de como oferecer habitação de interesse social de qualidade e com conceitos sustentáveis. Este trabalho tem como objetivo principal propor um pré-projeto arquitetônico de habitação de interesse social sustentável afim de contribuir com qualidade para a diminuição desta necessidade na cidade de Guaíra. Para isso, se apresentam alguns caminhos na arquitetura e no urbanismo que podem ser seguidos em busca do desenvolvimento sustentável e de um projeto arquitetônico de qualidade, um destes caminhos é o da arquitetura bioclimática, que apresenta conceitos passivos e determinantes para uma edificação energeticamente eficiente, aliada a outras características sustentáveis, onde o projeto arquitetônico tem características amparadas por dados climatológicos da micro região em que a edificação será executada. Então, através de um projeto de pesquisa não experimental, com finalidade aplicada, numa abordagem mista e com pesquisa do tipo bibliográfica, documental e com alcance projetiva, o resultado foi um pré-projeto arquitetônico, o qual teve atendido todo o requisitado pelo programa de necessidades e os conceitos e estratégias da arquitetura bioclimática, gerais e particulares ao local, aplicados a um conjunto de edificações de habitações de interesse social.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | Habitação de Interesse Social, Sustentabilidade, arquitetura bioclimática, arquitetura sustentável, Déficit habitacional |
| Clasificación temática: | Materias > Ingeniería |
| Divisiones: | Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster |
| Depositado: | 19 Oct 2023 23:30 |
| Ultima Modificación: | 19 Oct 2023 23:30 |
| URI: | https://repositorio.uneatlantico.es/id/eprint/863 |
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<a href="/10290/1/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/10290/1.hassmallThumbnailVersion/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf" border="0"/></a>
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The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria.
Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Javier Jorge mail , Kamil Giglio mail ,
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Inna Alexeeva-Alexeev mail inna.alexeeva@uneatlantico.es, Cristina Mazas Pérez-Oleag mail cristina.mazas@uneatlantico.es,
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Driving while drowsy poses significant risks, including reduced cognitive function and the potential for accidents, which can lead to severe consequences such as trauma, economic losses, injuries, or death. The use of artificial intelligence can enable effective detection of driver drowsiness, helping to prevent accidents and enhance driver performance. This research aims to address the crucial need for real-time and accurate drowsiness detection to mitigate the impact of fatigue-related accidents. Leveraging ultra-wideband radar data collected over five minutes, the dataset was segmented into one-minute chunks and transformed into grayscale images. Spatial features are retrieved from the images using a two-dimensional Convolutional Neural Network. Following that, these features were used to train and test multiple machine learning classifiers. The ensemble classifier RF-XGB-SVM, which combines Random Forest, XGBoost, and Support Vector Machine using a hard voting criterion, performed admirably with an accuracy of 96.6%. Additionally, the proposed approach was validated with a robust k-fold score of 97% and a standard deviation of 0.018, demonstrating significant results. The dataset is augmented using Generative Adversarial Networks, resulting in improved accuracies for all models. Among them, the RF-XGB-SVM model outperformed the rest with an accuracy score of 99.58%.
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