UROP Proceedings 2020-21

School of Engineering Department of Electronic and Computer Engineering 157 Development of a Drone Positioning System for Tiled Walls Supervisor: MOW Wai Ho / ECE Student: CHUNG Tsz Wa / SENG Course: UROP1000, Summer Recently, drone development is poplar worldwide. For instance, drones that could deliver food remotely and drones that could save people from drowning. The current Global Positioning System (GPS) allows drones to fly to different specific location outdoor. However, tasks such as scanning the exterior tiled wall of a building which requires precise location may not be able to achieve by GPS but extracting the tiled wall patterns. A prototype of drone positioning system for tiled walls had been developed by previous Final Year Project students. It could predict the distance between the drone and the wall, but it is not stable and slow. During the Summer UROP, we are able to optimize the system, making it more stable, and reducing the running time by 96.7% to 98.5% depending on the size of the input image. Development of a Drone Positioning System for Tiled Walls Supervisor: MOW Wai Ho / ECE Student: JIA Tongyao / ELEC Course: UROP1100, Summer Drones are suggested for applications in delivery services in recent years. Although the Global Positioning System allows the drone to fly to a specified outdoor location, it is not precise enough for a drone to identify and locate a specific window at a specified floor. To face this challenge, the HKUST team has proposed a vision positioning solution by using the patterns of tiled walls in building exteriors. However, the current Matlab-based prototype is feasible but too slow and not stable enough to be put into practice. This report aims at showing what has been done in UROP1100 this summer to improve the stability of the algorithm based on the Matlab version. An Optofluidic Biological Cell Stretcher Supervisor: POON Andrew Wing On / ECE Student: ZHU Guanhua / CPEG Course: UROP1100, Summer The standard TEM00 Gaussian beam intensity profile, along with other beam profiles of TEMmn (where m, n > 0 and m, n ∈ Ν), can impose a gradient force that incline to trap dielectric particles in the focal region. Using the TEM00 beams as traps, dielectric particles in the size range from 10 µm down to ~25 nm can be trapped in solution stably. By building up a modified microscope, letting the laser beam to pass through the objective lens and focus on the cells in microfluidic flow, we can stretch the cells and then estimate their elasticity, so that we can indicate the viability of the cell. This progress report illustrates the setup of such single-beam biological cell stretcher, the theory behind the critical components of the setup, and demonstrate the actual application using the device.

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