Tesis Tecnologías de la Información

Permanent URI for this collectionhttp://repositorio.uta.edu.ec/handle/123456789/34849

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Aplicación Firebase Android para la gestión de tareas académicas a los estudiantes de educación básica en la Unidad Educativa Emanuel
(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2022-09) De la Cruz Llundo, Jonathan Adrian; Ibarra Torres, Oscar Fernando
Use of technology helps to ensure the fulfillment of homework having a positive impact on student academic training, because in the educational environment homework plays an important role, because it reinforces the knowledge acquired by students in the classroom thus achieving a successful teaching-learning process. The objective of this project is to assist students and teachers of the Emanuel Educational Unit in the processes of academic homeworks by providing a technological tool for this purpose, so reducing the rate of non-compliance and helping the management of new knowledge. The firebase Android application is used in the sending and receiving homeworks process, saving their information, their details, and their respective instructions in the cloud so that students always have access to them, also notifications are sent reminding them to perform the homeworks and review them for their respective submission, achieving that the compliance rate is higher. The application was developed using java as programming language and Android Studio as development IDE, firebase services were used to manage the database in the cloud, to register user accounts and to send notifications, all this was possible through the Mobile - D application as development methodology.
Aplicación móvil basada en android, para facilitar la comunicación de personas con discapacidad visual
(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2024-02) Del Pezo Quinde, Ronny Alejandro; Nuñez Miranda, Carlos Israel
This project focuses on addressing people's needs in terms of communication via mobile devices. For this purpose, data collection was carried out to identify the needs and difficulties they face in their daily communication. The main objective was to develop an application that would not only facilitate their communication skills, but also give them the opportunity to actively participate in chat conversations with other users. The application was built using Java on the Android platform, and voice commands were implemented in order to allow users to control the receiving and sending of text messages through spoken instructions. This approach not only sought to improve accessibility, but also to make the application more intuitive and easier to use for those with visual impairments. In order to carry out the development efficiently and effectively, the Mobile D methodology was adopted, ensuring an agile process that fulfilled each of its phases. The primary focus of this research is to provide a specific solution for people with visual impairments. The application was designed with the premise that users would be able to use it autonomously, without relying on additional applications or external virtual assistants.
Aplicación móvil para dispositivos android aplicando modelos de predicción para la gestión de pedidos en Ramones Restaurant.
(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2024-02) López Pérez, Cristian Javier; Ibarra Torres, Oscar Fernando
This research project focuses on the development and implementation of an Android mobile application using predictive models for order management at Ramones Restaurant. The primary objective was to optimize the company's customer service process by integrating technology into its traditional order management system. An in-depth analysis of the existing order management procedures at Ramones Restaurant was conducted, revealing significant inefficiencies and areas for improvement. Various predictive models were evaluated, with a focus on their adaptability, scalability, and potential for integration into the restaurant’s operational structure. Artificial neural networks were identified as the most suitable due to their flexible architecture. The mobile application was developed using robust software frameworks, facilitating a faster and more efficient development process. The mobile application was developed using the Scrumban agile methodology, to ensure adaptability to changing requirements and unforeseen challenges. The implementation of the application demonstrated the feasibility and benefits of introducing advanced technologies in small and medium-sized enterprises (SMEs). The findings suggest that such integrations can be successfully achieved with careful planning and consideration of business-specific complexities. The study recommends further comparative analysis of predictive models to optimize the application’s performance. Future research should explore the broader impact of technology implementation in SMEs. Additionally, a post-implementation evaluation plan for Ramones Restaurant is advised to ensure continuous improvement and adaptation of the application to meet evolving business needs and customer expectations
Aplicación móvil utilizando aprendizaje automático para mitigar pérdidas económicas al adquirir vehículos de segunda mano en la ciudad de Ambato.
(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2024-02) Vasconez Lozada, Carlos Mauricio; Nogales Portero, Rubén Eduardo
Detección de vulnerabilidades de seguridad en bloqueadores de anuncios en dispositivos móviles Android.
(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2023-03) Tunja Altamirano, Byron Alexis; Fernández Peña, Félix Oscar
The proliferation of advertising in mobile device applications and the increasing number of adware led to the development of ad blocker applications. Its use produced better device performance, user experience and privacy. However, due to the benefits, relevant aspects were left aside, such as what information is collected and shared, what actions are taken to protect the information and what permissions are requested by the application. Agree with it, this project have as objective demonstrate that Android ad blocker applications present computer vulnerabilities and that, in the event of a possible exploitation of a vulnerability, all the information handled by the application may be compromised. To do this, a random sample of one hundred ad blocker applications was taken, which were analyzed with the VirusTotal tool and a manual review of the source code available with the Android Studio IDE. As a result, eight types of vulnerabilities were identified, substantiated by CVE records. Finally, a total of thirteen recommendations were raised, to make it difficult to exploit the vulnerabilities found. That is estimated to lead to a decrease in the possibility of exploiting vulnerabilities that affect ad blockers.