DCU-Final-Year-Projects-Booklet-2025

98 198. Applications of the Precedence Constrained Travelling Salesman Problem in Industrial Manufacturing Using a Genetic Algorithm This project explores the use of a genetic algorithm to solve sequential ordering problems within the context of a precedence-constrained travelling salesman problem. A genetic algorithmwas developed and tested using various population selection and crossover methods. The scalability and efficiency of the algorithmwere assessed in each case and compared. The project contextualises the results within industrial manufacturing settings, emphasising the practical applications of the algorithm. The value of the project lies in minimising the resources required to produce a finished product, whether that involves assembly time, operations on a CNCmachine, or floor space on a factory floor. Student Programme Mechanical andManufacturing Engineering (Year 4) Project Area Data Analytics Project Technology Python Student Name(s) Dylan Byrne Email dylan.byrne234@mail.dcu.ie Supervisor Dr John Geraghty 199. Development ofWearable Sensors for Early Detection and Continuous Monitoring of Stroke Risk The aimof this project is to design a wearable device capable of monitoring users for the risk of ischemic stroke using a range of affordable sensors. This device serves as a cost-effective alternative to existing fitness wearables with similar functionality, aiming to lower the barrier to entry for users worldwide. The wearable is composed of readily available electronic components and housed in a 3D-printed chassis. By integrating advancedmachine learning algorithms, the device automatically analyses complex physiological data to detect early signs of stroke risk, providing timely alerts to healthcare providers. Student Programme Mechatronic Engineering (Year 5) Project Area Arduino, Artificial Intelligence, Biometrics, Sensor Data, Sensor Technology Project Technology C/C++, PLC Programming Student Name(s) LukeMcCormack Email luke.mccormack32@mail.dcu.ie Supervisor Dr Éadaoin Carthy 200. Automatic Cat Feeder This project explores the design and development of an automatic cat feeder, offering pet owners a reliable solution for feeding their cats on a scheduled basis. The system integrates amicrocontroller, weight sensors, and a timer to dispense food at pre-set times. A keypad and display enable users to monitor feeding habits, while an RFID tag reader ensures that only pre-approved pets can access the food. The project emphasises ease of use, accuracy, and durability, addressing challenges such as overfeeding or missedmeals. By combining technology and convenience, the automatic cat feeder aims to enhance pet care. Student Programme Mechatronic Engineering (Year 4) Project Area 3-DModelling, AdditiveManufacturing, Arduino, Device Design, Mechanical Design andManufacture, Sensor Technology Project Technology C/C++, Solidworks Student Name(s) James Greene Email james.greene9@mail.dcu.ie Supervisor Dr GregMcNamara