Computer Engineering
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12475/57
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Item Implementing a Movie Theater Ticket Sale Software(Polytechnic University of Puerto Rico, 2024) Cruz Agosto, Pedro; Cruz, AlfredoA software solution for movie theaters is developed to streamline operations, improve the experience of the user and the customers, and help in the process of making business decisions. The software incorporates logic that enables the creation of schedules, showing the resources available in each theater room and the times they are set to be occupied. The software helps operations by performing sales quickly. It also includes features for user management with role based access control and theater configuration including room settings. The system keeps track of each ticket sold and prevents double booking of the same seat for the same show. The system also ensures the data integrity is preserved and tracks changes. Key Terms ⎯ Digitalization, Movie Theater, Software Design, Software Development.Item An Assessment and Study of Wi-Fi Security Through the Use of Wardriving in Caguas, Puerto Rico(Polytechnic University of Puerto Rico, 2024) Iglesias Santiago, Miguel A.; Cruz, AlfredoIn this project, the current state of wireless security in Caguas, Puerto Rico, is analyzed using wardriving as the primary data acquisition method. Wardriving is a technique for scanning and collecting information from wireless access points while in motion and is widely used by security professionals/enthusiasts to evaluate WLAN systems. This project aims to assess the security configurations of publicly accessible IEEE 802.11 wireless networks and identify potential weaknesses. Data was collected through multiple wardriving audits, focusing on encryption protocols and access point configurations. The findings contribute to the broader understanding of wireless network security in Puerto Rico and suggest measures to strengthen protections in light of increasing internet usage. Key Terms ⎯ Wireless, Wi-Fi, Security, Wardriving, Auditing.Item Analysis of Sentiment in YouTube Comments for 2024 Political Campaigns for Governor of Puerto Rico(Polytechnic University of Puerto Rico, 2024) Oriol Rivera, Carlos A.; Duffany, JeffreyThe analysis of public sentiment is an invaluable tool in political campaigns, enabling candidates and their teams to assess voter attitudes and adjust campaign strategies accordingly. This project focuses on collecting and analyzing video comments on YouTube from the months leading up to an election to determine the public’s sentiment toward different candidates for governor in Puerto Rico. To make this sentiment analysis, the Text Blob Python library was used due to its ease of use and robust functionality. The project incorporates both client-side and server-side components, integrating modern web development frameworks and libraries to provide good user experience. This investigation outlines the data collection methodology, system architecture, analysis process, discussion of results, and coding logic used to achieve the analysis. Key Terms ⎯ Political Campaigns, Sentiment Analysis, TextBlob Python Library.Item Applications of Fast.ai Pretrained Models in Image Classification Problem(Polytechnic University of Puerto Rico, 2024) Tapia Maldonado, Antonio Ahmed; Duffany, JeffreySince the inception of Transformers and GPTs, artificial intelligence has proliferated. Fast.ai is among the cutting-edge libraries that are leading new advancements in the field. To harness the power of fast.ai and other advancements in the field, we set out to try and evaluate the practicality of the fast.ai library. To achieve this, we choose a given use case for artificial intelligence and then set out to fulfill said use case by leveraging fast.ai. We created three image classification models through fast.ai and then made an application that used those models. The use case we chose was a local wildlife fauna and flora classifier. The results from training the models were models with meager error rates, and these models had little to no data engineering. Key Terms ¾ computer vision, deep learning, fast.ai, image classification.Item Cybersecurity Tools(Polytechnic University of Puerto Rico, 2024) López Ubinas, Harry E.; Duffany, JeffreyThe goal of this project is to analyze the effectiveness of different Cybersecurity tools. It will test different techniques such as vulnerability scanning on the network, Wi-Fi hacking, and password cracking. Key Terms ¾ cybersecurity, password cracking, vulnerability scanning, wi-fi-hacking.Item Sistema de Manejo de Errores Humanos para la Industria Farmacéutica(Polytechnic University of Puerto Rico, 2023) Barbosa Toro, Juan Gabriel; Torres Batista, Nelliud D.La industria farmacéutica es un ambiente altamente regulado. Agencias como la Administración de Alimentos y Medicamentos se encarga de velar porque se cumplen las buenas prácticas de manufacturas, pues es requerido que los productos manufacturados cumplen con los mayores estándares de calidad. Es por esto por lo que las manufactureras redactan procedimientos específicos de como los procesos se deben manejar. Uno de ellos siendo cuando ocurre una desviación. Existen muchas raíces causas por las que las desviaciones ocurren, pero la causa asignable más común es por error humano. Los errores humanos se deben documentar pues puede ser el síntoma de algo más profundo. También es importante la documentación de estos, pues debemos velar porque los empleados no establezcan una tendencia de errores humanos. Los empleados que caigan en tendencia deben ser supervisados más cuidadosamente y algún plan debe ser implementado para prevenir futuras desviaciones. Términos Claves - Error Humano, FDA, Procedimiento, 21CFR Parte 211.Item Probability Analysis with Web Scraping and Linear Regression(Polytechnic University of Puerto Rico, 2023) García Matos, Javier A.; Torres Batista, Nelliud D.Since the dawn of sports, probability and trends have played an important role in predicting the outcome of an event. It gives the public a general idea of how the match will occur, providing a powerful tool in analytics. This project intends to extract raw tennis match data from verified sources and apply mathematical equations to predict the probability of the outcome of a particular match. Firstly, with the help of the programming language Python and a popular technique known as web scraping, the data can be extracted from a verified source, such as the Association of Tennis Professionals (ATP), and validated. After the data is extracted, in this project, three different algorithms will be applied, with the goal of predicting the outcome of a particular tennis match. These algorithms are known as linear regression (decision tree, ridge, and lasso) and are made with the programming language Python. There will be a section describing each equation in detail and how it works. Finally, the results will show which of the equations best predicted the outcome of the different matches and conclusions will be drawn based on the results of each equation. Key Terms ¾ ATP, linear regression, Python, web scraping.Item Developing an Accessible Web Journal with WCAG Guidelines, Fitts’s Law, and Capital T Concept(Polytechnic University of Puerto Rico, 2023) Mercado, Carlos; Duffany, JeffreyIn the ever-evolving digital landscape, enhancing web accessibility and user experience remains a paramount objective. By expanding the application of Fitts's Law to user interface design, the researcher unlocks the potential to create web experiences that are both efficient for all users and exceptionally inclusive, including the tactile and digital advantages of interactivity. By harnessing the Capital T Concept, the researcher craft an accessible reading experience where users, including those with disabilities, can effortlessly navigate pages and embark on a journey of exploration. This article delves into the innovative fusion of the WGAG guidelines, Fitts's Law, and the Capital T Concept principles with accessible web design, illuminating the path to a more inclusive digital world. Key Terms ⎯ Capital T Concept, Fitts’s Law, Web Accessibility, WCAG.Item Uso de las Técnicas Del Hacking Ético para la Reducción de Amenazas de Ciberseguridad(Polytechnic University of Puerto Rico, 2023) González González, José M.; Torres Batista, Nelliud D.A medida que las empresas tanto públicas como privadas comienzan a acomodar gran parte de sus capacidades de sistemas de información en la Internet, se hacen más propensas a que hackers de índole criminal puedan utilizar sus técnicas para acceder información sensitiva a través de una aplicación web. Ante la apremiante necesidad de asegurar los sistemas, surge la necesidad de que las empresas cuenten con hackers éticos para que estos se encarguen de identificar vulnerabilidades e implementar métricas correctivas para salvaguardar el activo más importante de una empresa, la información. Términos Claves - Hacking, Hackers, Hackers Éticos, HTTP.Item A Personal Health Monitoring and Emergency Assistance Mobile Application(Polytechnic University of Puerto Rico, 2023) Rosario Colón, Jonathan D.; Duffany, JeffreyAs digital technology continues to advance; new opportunities arise for enhancing emergency response and health management. The Be Safe mobile application focuses on identifying these opportunities and leveraging today's AI capabilities to improve the efficiency and effectiveness of emergency services. By utilizing Dart, FlutterFlow, Firebase, and OpenAI's ChatGPT, the app enables users to store and monitor vital health data, record and upload emergency videos, and receive real-time AI-driven guidance. The primary goal of the project is to optimize emergency response in Puerto Rico by providing accurate information to first responders, ultimately saving time and resources. With the integration of advanced AI-driven communication features and personalized content generation, Be Safe aims to be a powerful tool for both individuals and first responders in managing health and ensuring safety during emergencies. Key Terms - Be Emergency Response, Health Management, AI-driven Communication, Personalized Content, Opportunities.