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<title>Bachelor of Science in Electronics Engineering</title>
<link>https://hdl.handle.net/20.500.12852/2968</link>
<description/>
<pubDate>Sun, 05 Apr 2026 16:10:00 GMT</pubDate>
<dc:date>2026-04-05T16:10:00Z</dc:date>
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<title>Hover over the signal: Emergency wi-fi signal transmitter and repeater with messaging application</title>
<link>https://hdl.handle.net/20.500.12852/3682</link>
<description>Hover over the signal: Emergency wi-fi signal transmitter and repeater with messaging application
Ballon, Cyrus S.; Lampitco, Joss Rey G.; Pelaez, CJ Christian L.
The focus of this research was to design, construct, and test an emergency Wi-Fi signal transmitter and repeater with a messaging app. Two NodeMCU Microcontrollers with ESP8266 Wi-Fi modules and two drones make up the system. The Wi-Fi module units on the microcontroller will be the source of Wi-Fi networks identified by smart devices. The two drones in flight, which have an average flight period of 5 to 10 minutes, are attached to and are carrying these microcontrollers. Drones equipped with microcontrollers were used to expand each microcontroller's range of communication. The main source code or program is on one microcontroller, while the repeater is on the other. All devices must connect to the Wi-Fi signal either from the repeater or the main program. If connected, the users can communicate using the developed messaging application. In the developed messaging application, the users are required to put a name or alias that they can change anytime. A function was also added to delete or clear past messages. The overall system exhibited normal operations and the data gathered conformed to the functionality, where the transmitter, repeater, and messaging application operated their functions properly. Based on the results of the reliability test, the range of the distance from the user to the microcontroller is 30 meters. The farther the distance of the user to the microcontroller, the slower the message is sent to the receiving device. Overall, the system has met the requirements for reliability and functionality.
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</description>
<pubDate>Wed, 01 Jun 2022 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12852/3682</guid>
<dc:date>2022-06-01T00:00:00Z</dc:date>
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<title>Design of automated farmbot: An automatic watering with monitoring system and seed sowing device using printing mechanism to cultivate agricultural seeds</title>
<link>https://hdl.handle.net/20.500.12852/3677</link>
<description>Design of automated farmbot: An automatic watering with monitoring system and seed sowing device using printing mechanism to cultivate agricultural seeds
Armada, Leovileen A.; Espino, Mary Ferlyn S.; Oren, Lou Jason S.; Salditos, Queenie M.
The rapid urbanization, increasing frequency of natural disasters, and rising sea level have significantly impacted the agricultural sector, resulting in reduced crop yields and food scarcity. This study aimed to investigate the potential of indoor farming as a solution to these rising problems, therefore, the Automated Farmbot has been designed. The study was composed of two separate systems: a seed sowing device and a closed nursery shelf. Nema 17 stepper motors, ultrasonic sensor, 4x4 Keypad, LCD, Arduino Mega 2560 microcontroller, CNC Shield, DRV 8225 Motor Drivers, V-slot aluminum extrusions. V-wheel plate, belts and pulleys made up the seed sowing device. The number keypad was used to input the desired number of plug trays to be planted, whereas, the LCD was used to display the inputted number. As for the closed nursery shelf, a steei cabinet, DHT sensor, soil moisture sensor, programmable LED Strips, Bluetooth module, Arduino Uno Microcontroller, LDR, motor pumps, and relays comprised the system. The data gathered by the DHT sensors and soil moisture sensor, such as the temperature, humidity, and soil moisture content, can be monitored through a smartphone. Moreover, the soil moisture and LDR had a threshold value set to activate the water motor pumps and the LED strips for the automatic watering and automatic light source for the lettuce (&lt;i&gt;Lactuca sativa&lt;/i&gt;) and pechay (&lt;i&gt;Brassica rapa L. &lt;/i&gt;cv group Pak Choi) seeds. The automated farmbot was evaluated and tested to be functional, precise, and productive with its productivity rate ranging 95%-99%.
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</description>
<pubDate>Thu, 01 Jun 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12852/3677</guid>
<dc:date>2023-06-01T00:00:00Z</dc:date>
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<title>Optimization of hydroponics system into an automated IoT-Driven greenhouse facility in Pavia, Iloilo</title>
<link>https://hdl.handle.net/20.500.12852/3648</link>
<description>Optimization of hydroponics system into an automated IoT-Driven greenhouse facility in Pavia, Iloilo
Cordero, John Lloyd B.; Genovaña, Stephanie Nicole C.; Libar, Ira Joy D.; Noble, Jian Martin R.; Segovia, Theo Louis E.; Silla, Marco T.; Taton, Scheria Mae P.
This study focused on optimizing the existing ARUGA Hydroponics System in Pavia, Iloilo, by developing it into an IoT-powered automated greenhouse facility designed to overcome the limitations of traditional manual hydroponic systems. The initial assessment of the manual setup revealed key operational inefficiencies, including inconsistent nutrient dosing, lack of environmental control, labor-intensive processes, and the absence of real-time data monitoring. To address these challenges, a smart automation system was developed using the ESP32 microcontroller as the central unit, integrating various sensors and actuators such as DHT22 sensors for temperature and humidity, pH and TDS sensors, water temperature sensors, peristaltic pumps for nutrient dosing, and climate control components like fans and sprinklers. Accuracy testing showed minimal deviations, with RMSE values of 0.3858°C for temperature, 0.5619% RH for humidity, 0.0637 for pH, and 6.63 ppm for TDS, indicating reliable sensor performance. Functional trials confirmed consistent actuator response in all 10 test iterations. The system also reduced labor demands from 7 days/week to just 2, cutting monthly labor costs from ₱4,200 to ₱1,200, leading to ₱3,000 in monthly savings, making the system a practical and cost-effective solution for small-scale hydroponic farming.
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</description>
<pubDate>Thu, 01 May 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12852/3648</guid>
<dc:date>2025-05-01T00:00:00Z</dc:date>
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<title>ALIBS: Automated laboratory inventory and borrowing system using RFID technology for the CPU ECE laboratories</title>
<link>https://hdl.handle.net/20.500.12852/3647</link>
<description>ALIBS: Automated laboratory inventory and borrowing system using RFID technology for the CPU ECE laboratories
Biso, Fredric Mitch P.; Casandra, JC Niel S.; Cillo, Harold Niño A.; Estrella, Jay Kim B.; Guillen, Khilrain Royce H.; Habaradas, Karl Adrian G.; Labatorio, Alexander C.; Porras, Famille Bianca P.
The Central Philippine University Electronics Engineering (CPU ECE) laboratories performs the inventory and allows the borrowing of laboratory assets. However, the traditional method of performing these tasks is still being done in the laboratories, which could result to human errors and ineffective time management. This research study aimed to design, develop, and test an automated laboratory inventory and borrowing system using RFID for the CPU ECE laboratories. The automated system consists of two major subsystems: (1) the inventory and (2) the borrowing of the laboratory assets. The RFID tags attached to the laboratory assets and embedded into the school ID cards were used as the identification of both the assets and students in the system. These RFID tags are crucial as these enable the students to borrow and return a laboratory asset. Admin users can perform the registration, updating, and removal of students and laboratory assets as well as the exportation of databases, which is basically the inventory part of the system. The system underwent the functionality test, RFID validation test, system integration test, and student perceptions survey to verify several parameters. Results show that the system is functional, the RFID tags for both the students and laboratory assets are valid, and the system is integrated when doing a transaction. The system was beneficial for the students and the laboratory technician as it makes the inventory, borrowing, and learning process inside the laboratories better.
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</description>
<pubDate>Thu, 01 May 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/20.500.12852/3647</guid>
<dc:date>2025-05-01T00:00:00Z</dc:date>
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