https://repositorio.ister.edu.ec//handle/68000/154 Wed, 07 Oct 2026 23:20:44 GMT 2026-10-07T23:20:44Z https://repositorio.ister.edu.ec//handle/68000/822 Título : CI3: INNOVATION AND RESEARCH Autor : Minango Negrete, Juan Carlos; Zambrano Vizuete, Oscar Marcelo; Paredes Parada, Milton Wladimir; Ayala García, Karla Verónica Descripción : This paper presents the development and implementation of an AI-powered chatbot system tailored for educational institutions. The system utilizes a diverse dataset of conversations specific to the educa tional domain, enabling accurate understanding and response generation for frequently asked questions, inquiries, and specific queries related to the institute’s programs, admissions, courses, and facilities. The dataset is pre-processed to ensure clean and formatted text, incorporating tech niques such as tokenization, stemming, and stop-word removal. The underlying model of the chatbot is based on the GPT-2 transformer model, known for its exceptional language generation capabilities and contextual understanding. Additionally, the Logic Learning Machine (LLM) algorithm is employed to generate intelligible rules, enhancing the chatbot’s decision-making process. The implementation involves the integration of various libraries and technologies, including ‘whatsapp web.js’ for establishing a WhatsApp session, ‘openai’ for AI-driven com pletions, and ‘twilio’ for response delivery via messaging service. The system demonstrates its effectiveness in accurately understanding and responding to user queries, contributing to improved communication and information dissemination within the educational domain. Overall, the chatbot system presents a valuable tool for educational institutions, enhancing user experience, and streamlining communication processes. Sat, 29 Jun 2024 00:00:00 GMT https://repositorio.ister.edu.ec//handle/68000/822 2024-06-29T00:00:00Z https://repositorio.ister.edu.ec//handle/68000/821 Título : CI3: Innovation and Research Autor : Jacome Sagñay, Fernando; Osorio Zambrano, Henry Mauricio; Andagoya Alba, Luis Daniel; Paredes Pucachaqui, Edison Patricio Descripción : Technological development has made photovoltaic systems more accessible for applications in domestic self-generation microsystems. In this con text, new monitoring techniques are necessary to visualize the operating status of photovoltaic systems components. The main objective of this work is to monitor the operation status of a photovoltaic system through remote measurements in real-time using IoT technology. The study used IoT technology for the remote acquisition of principal elements of a photovoltaic system data to show them in time series through a graphical interface. The study resulted in a real-time remote monitoring system that allows the observation of photovoltaic system variables. The study concludes that through IoT technology, complex real-time monitoring systems of photovoltaic system operating variables can be configured to store them in a database that allows the visualization and analysis of historical data behavior of photovoltaic systems. Sat, 29 Jun 2024 00:00:00 GMT https://repositorio.ister.edu.ec//handle/68000/821 2024-06-29T00:00:00Z https://repositorio.ister.edu.ec//handle/68000/820 Título : CI3: Innovation and Research Autor : Zambrano Vizuete, Oscar Marcelo; Minango Negrete, Juan Carlos; Toapanta Toapanta, Segundo Moises Descripción : The pandemic caused by COVID19 had a disruptive effect throughout the planet, bringing to light the social, economic, and technological gaps that exist in current societies around the world, including such important aspects as connectivity (internet service) and education. Within the educational field, the closure of schools and colleges, as well as the lack of internet service in rural areas, prevented millions of children from continuing with their formal education. The CONNECTED project uses cutting-edge telematics tools and technologies to develop a communications system that allows delivering internet service to rural areas lacking this service; This, in turn, makes it possible for children and young people residing in these areas to continue with their formal education through tele-education processes. Sat, 29 Jun 2024 00:00:00 GMT https://repositorio.ister.edu.ec//handle/68000/820 2024-06-29T00:00:00Z https://repositorio.ister.edu.ec//handle/68000/819 Título : Innovation and Research – Smart Technologies & Systems Proceedings of the CI3 2023, Volume 1 Autor : Zambrano Vizuete, Oscar Marcelo Descripción : This study focuses on utilizing LoRa wireless communication technology to create a sensor network that measures the water level of a river. The collected data can help assess the current state of the river and detect any changes in its level. Alerts can be sent via email if any changes are detected. The system consists of various components. Firstly, sensor nodes are utilized that employ HC-SR04 sensors for level calculation. Secondly, the ESP32 microcontroller is connected to the LoRa RFM95 module for wireless transmission using LoRa. Finally, the microcontroller handles the processing tasks. The central node acts as a receiver for the data gathered by the sensor nodes. It consists of an Arduino Uno com patible with the LoRa RFM95 module. The central node is connected to a Raspberry PI 4 for processing and then sending the data using the MQTT protocol to the server. The information can then be viewed on the ThingSpeak platform. Tests have been conducted to verify the estab lished communication between the nodes and the Gateway. The results have shown that the LoRa communication parameters are accurately established in the RFM95 modules. Additionally, the data sent from the nodes to the Gateway is visualized on ThingSpeak. Sat, 29 Jun 2024 00:00:00 GMT https://repositorio.ister.edu.ec//handle/68000/819 2024-06-29T00:00:00Z