DCU Expo 2023 Final Year Projects

63 111. Midas Midas is a systemcapable of processing sensor data from real-time user handmovement and process it to provide finemanipulation of 3D objects in a virtual reality environment. Our project aimed to demonstrate the intuitiveness of user interactions in virtual reality through the use of alternatives to conventional controllers. The stack consisted of a Raspberry Pi Pico with Adafruit Flex sensors transmitting data to the Unity engine app over websockets, where it was used tomanipulate virtual hands. Class Computer Applications Project Area 3-DModelling, Embedded Systems, RaspberryPi, Sensor Data, Software Development, Virtual Reality, Wireless Technology Project Technology C#, Digital Signal Processing, Python, Unity Engine Student Name(s) Hamzah Zahoor  |  Denis Flore Email hamzah.zahoor2@mail.dcu.ie  |  denis.flore2@mail.dcu.ie Supervisor Dr Stephen Blott 112. To Investigate the Surgical Methods in Place for Treatment of Brain Aneurysms This project looks at the current surgical methods in place for treating brain aneurysms. The ultimate aimof the project is to find an ideal method to treat brain aneurysms with as few disadvantages as possible. This project tests the potential of an evolving hydrogel tomeet the needs of an ideal aneurysm treatment device. Class Biomedical Engineering (Year 5) Project Area AdvancedMaterial Engineering, Biomedical Engineering, Tissue Engineering Project Technology Solidworks, Bioprocessing Student Name(s) Daniel Byrne Email daniel.byrne95@mail.dcu.ie Supervisor Dr Owen Clarkin 113. Design and Evaluation of a Precision Voltmeter UsingMultislope Integrator Conversion Techniques This project is the design and evaluation of an analog-to-digital converter. The analog-to-digital converter is based on the multi slope conversion technique. This technique evaluates an unknown input voltage relative to a known reference voltage by turning both into a time representation and getting the ratio of the input to the reference, thus calculating the unknown voltage. The evaluation involves creating a voltmeter systembased around the ADC designed which allows for applying input voltages for testing the ADC. Class Electronic and Computer Engineering Project Area Instrumentation Project Technology C/C++, FPGA, Python, Analog Electronics Student Name(s) Alexander Gorovenko Email alexander.gorovenko2@mail.dcu.ie Supervisor Dr Marissa Condon

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