DCU Expo 2023 Final Year Projects

51 75. Thermal Heating System for DNAAmplification This aimof this project is to design and build a thermal heating system for a “Lab-on-a-Disc” (LoaD) LAMP DNA amplification process. A systemwas designed and built which rotates and heats a LoaD sample to the target temperature of 65 Celsius. Laser Diodes are integrated into the enclosure which allows fluorescence excitation to take place. An optical derotator is integrated into the optics system, allowing the operator to view a seemingly stationary image of the rotating disc. Class Mechanical andManufacturing Engineering (Year 5) Project Area 3-DModelling, Arduino, Control Systems, Device Design, Mechanical Design andManufacture Project Technology LabVIEW, Solidworks, Microfluidics Student Name(s) Alex Joseph Roche Email alex.roche45@mail.dcu.ie Supervisor Dr David Kinahan 76. Differential DriveMobile Robot Simulator for Reinforcement Learning This project develops a simulator for a differential drive line following robot. The simulator was used for reinforcement learning and developed using OpenAI Gym. State-of-the-art reinforcement algorithms fromStableBaslines were used to train a neural network. The hardware and the track fromEE303 Mobile Robotics were the basis of the simulator. Once trained, the neural network was ported to the EE303 hardware using C. The robot was tested, and a roadmap of future research was outlined. Class Electronic and Computer Engineering Project Area Arduino, Artificial Intelligence, Automation, Control Systems, Robotics, Sensor Data, Simulation, Software Development Project Technology C/C++, Python, Machine Learning, Reinforcement Learning Student Name(s) Eoin Dickson Email eoin.dickson2@mail.dcu.ie Supervisor Dr KevinMcGuinness 77. PandemicAnalysis: AData Analysis Platform for COVID-19 using Twitter This project performed sentiment analysis on publicly available tweets about the COVID-19 pandemic to determine how negative or positive they were. The tweets were stored in a database and a different number of predictingmodels were evaluated to find the most reliable. Awebsite was developed to provide graphs and statistics of the models. The website allows users to select time frames and graphs to display results, the sentiment is then calculated for that time frame and results are displayed. Class Computer Applications Project Area DataMining, Databases, Graphics, Natural Language Processing, Software Development, Web Application Project Technology CSS, HTML5, JavaScript, Python, SQLite Student Name(s) Jaime de ViveroWoods  |  Alen Tom Joy Email jaime.deviverowoods2@mail.dcu.ie   |  alen.joy2@mail.dcu.ie Supervisor Renaat Verbruggen