http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/177 Sun, 26 Jul 2026 21:33:44 GMT 2026-07-26T21:33:44Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17517 Industrial Motor Control and Protection System with ATS System Ahmed, Tanvir; Hossian, Nadim This project focuses on the design and implementation of an industrial motor control and protection system for three-phase motors, integrating essential components such as overloadrelays, phase sequence relays, and an Automatic Transfer Switch (ATS). The system aims to enhance operational reliability, safety, and efficiency by preventing electrical faults and ensuring uninterrupted power supply during outages. Comprehensive testing demonstrated the system's effectiveness in protecting motors from overloads and phase imbalances. The project highlights the economic benefits, improved workplace safety, and sustainability of advanced motor control solutions, emphasizing the need for continuous innovation in industrial applications to meet evolving challenges. Project Report Mon, 06 Jan 2025 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17517 2025-01-06T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17516 Gsm Based Earth Fault And Over Load Protection System Ahamed, Esteiak; Majumder, Tanmoy; Rabby, Fozla The GSM-Based Earth Fault and Overload Protection System utilizes an Arduino microcontroller, along with voltage, current, and temperature sensors, to monitor and protect electrical circuits from common faults and hazardous conditions. The system continuously measures voltage levels, current flow, and temperature. In the event of an earth fault, current overload, or abnormal temperature rise, the system immediately triggers an alarm and disconnects the power supply to prevent equipment damage and safety hazards. Using a GSM module, real-time notifications are sent via SMS to theuser or operator, ensuring prompt awareness and action. This solution offers an efficient and cost-effective method for enhancing the safety and reliability of electrical installations, particularly in remote areas where manual monitoring is difficult. Project Report Mon, 06 Jan 2025 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17516 2025-01-06T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17515 Smart Attendance Solution Using RFID Technology Hasan, Robiul The system under consideration is RFID Attendance System which mainly utilizes the Radio Frequency Identification – RFID in order to give an effective and automated means of capturing attendance in different places like schools, offices among others. The goal of this project is to eliminate the prior conventional approaches to attendances that involves paperwork and contact as the system devised here would employ less orno contacts at all while being very effective in delivery as compared to the aforementioned traditional ways. RFID tag is used in identifying persons and once the tag is placed before the system, their attendance is mentioned automatically. It synchronizes with cloud-based applications to log and store attendance data in real-timewhich means that the data can be accessed remotely without compromising on security. The project provides solutions to typical challenges related to manual attendancesystem such as inaccuracy, time-consuming, and possibility of fake information. Project Report Mon, 06 Jan 2025 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17515 2025-01-06T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17514 Design and Modeling of an IOT Based Transformer Health Monitoring System Shuvo, Md. Shoriful Islam; Paul, Partho Protim The paper focuses on Design and Modeling of an IOT-based Transformer Health Monitoring System designed to improve transformer reliability and lifespan byenabling real-time monitoring and predictive maintenance. Transformers, essential to power systems, are prone to failures that can cause costly repairs and service disruptions. Traditional manual or basic automated monitoring methods often fail to provide timely insights.This system integrates sensors to measure parameters like temperature, humidity, load current, oil level, and voltage, with data transmitted to a cloud-based platform. Using IOT technology, data analytics, and machine learning, it detects abnormalities and predicts faults, allowing operators to take preventive actions. Alerts and reports are accessible via web or mobile apps, enabling quick responses. The system reduces maintenance costs, extends transformer life, and enhances grid stability, making it vital for advancing smart grid infrastructure and energy management efficiency. Project Report Mon, 06 Jan 2025 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/17514 2025-01-06T00:00:00Z