Ingeniería en Sistemas, Electrónica e Industrial

URI permanente para esta comunidadhttp://repositorio.uta.edu.ec/handle/123456789/1

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  • Item type:Ítem,
    Clasificación automática de enfermedades de la papa mediante visión computacional usando android sin Internet
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Software., 2026-07-06)
    Vichicela Casa, Kevin Daniel
    ;
    Ibarra Torres, Oscar Fernando
    ;
    Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Software.
    Potato cultivation in the Ecuadorian Andes faces significant losses due to foliar diseases, the rapid identification of which is limited by the scarcity of specialized assistance due to restricted connectivity. This work addresses the question: Is it possible to implement a classification system for multiple phytosanitary diseases affecting potato leaves using computer vision on Android mobile devices without internet access, usable by farmers? To this end, the most prevalent diseases and pests in the area were analyzed, defining seven priority classes plus one negative control. The classification model used was MobileNetV2 under the CRISP-DM methodology with Transfer Learning and Fine-tuning on a curated dataset. The mobile application was built using the Mobile-D methodology with memory and storage optimizers for low-end devices. The TFLite model achieved an overall accuracy of 96.70 percent and a macro F1-score of 96.65, with an input-range inference latency of 106ms and a file size of 18MB. Usability evaluation with 50 farmers yielded average scores of 4.24, 4.37, and 4.44 for the adapted SUS, TAM, and CSAT instruments, respectively, with a 98 percent satisfaction rate. Technical validation with three agricultural engineers showed a 91.40 percent agreement with experts. These results demonstrate that integrating CRISP-DM and Mobile-D allows for the development of viable artificial intelligence tools for agricultural contexts with infrastructure constraints.
  • Item type:Ítem,
    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.
  • Item type:Ítem,
    Evaluación de la accesibilidad de aplicaciones móviles de instituciones públicas para personas sordomudas en la ciudad de Ambato
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2023-03)
    Andrade Molina, Jhon Kevin
    ;
    Mayorga Mayorga, Franklin Oswaldo
    Mobile devices are changing the way people interact and access information, but often they are not designed in an accessible way for everyone, especially for people with disabilities. The purpose of this research project is to evaluate the accessibility of mobile applications of public institutions in the city of Ambato, especially the special abilities of deaf-mute people were analyzed and compared with the principles of accessibility of mobile applications. The Kanban methodology was used for the development of the project, due to its adaptability and scalability, which allowed adjusting to the specific needs of the project. Finally, the results showed that most of the evaluated mobile applications do not fully comply with the accessibility principles. As a consequence, technical recommendations were presented to improve the accessibility of this type of applications for deaf-mute people.