DCU Expo 2024 - Final Year Projects

60 90. Shooting Rig This project utilises an Infrared (IR) emitter and an array of photodiode sensors in the formof a toy gun and target. The toy gun fires an IR beamat the target, which registers and responds if the shot was a successful hit. The system is fully wireless with the gun and target communicating over WiFi. The system is custom3D-printed, self-contained, easily portable and rechargeable with a replaceable battery for the gun. The overall project incorporates a wide range of skills, including 3D Solidworks modelling, Arduino- based programming, general circuit design and wireless multi-point communication development. Student Programme Mechatronic Engineering (Year 5) Project Area 3-DModelling, Arduino, Circuit Modeling, Digital Signal Processing, Embedded Systems, Mechanical Design andManufacture, Optical Communications, Software Development, Wireless Technology Project Technology C/C++, Solidworks Student Name(s) BrianMcGuinness Email brian.mcguinness5@mail.dcu.ie Supervisor Dr Tamas Szecsi 91. Recycling and Reuse of Medical Sharps Bins Using an Automated Sharps Container Disassembly andDisposal Device Sharps containers are made out of polypropylene, an easily recyclable material. However, the hazardous contents are what prevent sharps containers frombeing recycled. The current method of disposal for these containers is incineration. While safe, the incineration of sharps containers has resulted in the release of toxins and pollutants into the environment. This project aims to solve this problemby designing an automated rig which can open a sharps container and empty it of the hazardous contents so that it can then be recycled. The rig is automated using amicrocontroller, various sensors and actuators. The rig consists of a cutting tool to open the sharps container in a safe and controlled environment. The secondary goal is to develop a downstreamprocess for the emptied sharps containers. Student Programme Mechatronic Engineering (Year 5) Project Area 3-DModelling, Arduino, Automation, Mechanical Design andManufacture, Mechatronic Systems Project Technology C/C++, LabVIEW, Solidworks Student Name(s) Ademide Oyeyemi Email ademide.oyeyemi2@mail.dcu.ie Supervisor Dr David Kinahan 92. Developing a Building’s Energy Consumption andDemand Prediction AI-Driven Model UsingMachine Learning Techniques This project presents an artificial intelligence driven model designed to forecast building energy consumption and demand. The model utilises machine learning techniques to enhance the accuracy and reliability of its predictions. A robust dataset foundation is established by using EnergyPlus, the industry standard for building energy simulation data, alongside AHRAE standard buildingmodels. This ensures the model’s training data reflects real-world conditions, leading to predictions that closely resemble actual energy usage patterns. The model’s high accuracy and user-friendly design shows its potential to revolutionise building energy management. The model can contribute to significant cost and energy savings for buildings around the world. Student Programme Mechatronic Engineering (Year 4) Project Area Artificial Intelligence, Data Analytics, Information Retrieval, Intelligence Pattern Matching, Software Development, Statistical Analysis Project Technology Excel/VB, Python, Machine Learning, EnergyPlus Student Name(s) Chirag Joshi Email chirag.joshi2@mail.dcu.ie Supervisor Dr Mohammad Saffari