School of Engineering Department of Computer Science and Engineering 89 Department of Computer Science and Engineering Video Analytics and IoT People/Asset Sensing for Smart City Applications Supervisor: CHAN Gary Shueng Han / CSE Student: CHANG Hong-yuan / DSCT Course: UROP1100, Fall Current large factor super-resolution (SR) models are degradationsensitive, that is, when the degradation for testing images differs from the degradation for generating training LR-HR pairs, the model will perform poorly. This largely limits the practical usage of the SR model since, in general, it is hard to know the exact degradation process of a low-resolution (LR) image in a real-world setting. To alleviate this issue, we propose a frequency-based domain adaptation module that maps images from different degradation domains to the same domain by applying a learned mask on the image in the frequency domain. The module can then be trained on top of other SR models to improve the model’s performance when facing degradation domain mismatching. Video Analytics and IoT People/Asset Sensing for Smart City Applications Supervisor: CHAN Gary Shueng Han / CSE Student: TSANG Hong Ting / COMP Course: UROP1100, Summer The objective of this project is to create a standard for Pervasive Positioning, allowing applications to locate an object anywhere, no matter indoor or outdoor, on a country scale seamlessly. In current technology for location-based applications, both indoor and outdoor positioning work well independently but there is no one standard that allows applications to perform Pervasive Positioning using current technology. Utilizing the approach of decoupling and then recoupling, the lookup server first gathers all data and server addresses of site owners, depending on the privacy control and requested data format, set by site owners and applications, returning the appropriate data or address for further computation. Under this approach, we can achieve Pervasive Positioning utilizing current technology by contacting the right party using the right formats. In this semester, the API (Application Programming Interface) for SDK (software development toolkit) is in development. Using the scheme provided by Mercator projection, Google Map Grid Reference System, and Multi-Layered Space Model, API can respond and return data from the database to SDK.
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