This document is mounted at innowings.engg.hku.hk/safety/ andit details the arrangement for safety and health issues of Tam Wing Fan Innovation Wing(“InnoWing”). ALL USERS should read Section 7, Section 8 and Section 9. Supervisors of Thematic Workshops, projects in ProjectThematic Workshops, Studios and Student Interest Groups should also read Section 3.1, Section3.9 and Section 5 […]
We cooperate with Airport Authority Hong Kong (HKAA) on a smart airport project. One major item is a smart patrol robot. Currently, the robot is used to identify out-of-order lamp bulbs in the airport. However, the robot can be applied to perform other operations in the future. HKAA has agreed to lend us two smart patrol robots with cameras atop for testing and implementation. After several rounds of discussion, below are some possible directions: – Applications that involve object recognition (e.g. recognition of fluid on the floor) – Applications that involve facial recognition (e.g. Kiosk) – Path finding and collision avoidance – Sensor data post-processing (e.g. utilizing temperature and video data for interesting applications).
Patrol robotics (Hong Kong Airport Authority) Read More »
Team GG2EZ Drone Studio Host department: Department of Mechanical Engineering, Faculty of Engineering, the University of Hong KongProject supervisor: Dr. Fu Zhang About the competition Theme: executing a rescue mission by drone through automation Drone: Self-controlled quadcopter without a pilot control able to grab and drop a medical package. Flight area: 20m x 10m, height
The 1st Greater Bay Area drone competition Read More »
Date: June 26, 2019 (Wednesday) Time: 1:30pm – 2:00pm No. of sessions: TBC Participants: 25-30 Grade 12 students Presenter: Mr. Felix Wong and Desmond Wong , team members of project Lumino; Mr. Timothy Ng, leader of the Vayu Robotic Fish Team Contact: Miss Emily Leung and Mr. Edward Hung, Innovation Wing, Faculty of Engineering Welcome Dear Students,
Welcome HKU Engineering Bootcamp participants Read More »
Date: July 9, 2019 (Tuesday)Time: 9:45am – 10:15amNo. of sessions: 2 sessions with 15 students per sessionParticipants: 30 Form 2 students Presenter: Mr. Wong Matthew Sing Ho, team member of project Smart Life Vest; Mr. Timothy Ng, leader of the Vayu Robotic Fish TeamContact: Miss Emily Leung and Mr. Edward Hung, Innovation Wing, Faculty of Engineering Welcome Dear Students, Welcome
Welcome students from St. Mark’s School Read More »
Date: June 13-20 2019, Tampa, Florida, United States Presenter: Dr. C.K.Chui, Director of the Tam Wing Fan Innovation Wing Contact: ckchui@cs.hku.hk Welcome The Tam Wing Fan Innovation Wing (Inno Wing) – opening in mid-2020 – will serve as an iconic landmark of the Faculty of Engineering. Home of future cutting-edge research projects, the Inno Wing will provide
Date: July 11, 2019 (Thursday)Time: 3:45pm – 5:00pmNo. of sessions: 3 sessions with 20 students per sessionParticipants: 50–60 Form 5 students Presenter: Mr. Timothy Ng, leader of the Vayu Robotic Fish Team.Contact: Miss Emily Leung and Mr. Edward Hung, Innovation Wing, Faculty of Engineering. Welcome Dear Students, Welcome to the Dreamlab, a place where we turn our ideals and
To give an impressive presentation, we always use visual aids to emphasize key points. However, we usually use presentation slides. Then our team came up with a question – Why don’t we combine AR technology with presentations? MAXAR is a mobile application which utilizes AR technology to facilitate presentations. Users prepare their visual aids in our application by adding 3D elements or 3D text. They can either record their presentations and upload them to the Internet or deliver their presentations directly in front of the audience using their own device.
Our application shows an incredible potential in STEM education, e-learning, and entertainment.
The demand for property is steadily rising with the significant market size of real estates across the world. Looking at the existing property searching applications, they only provide simple filtering functionalities about the properties, such as price, size, etc. However, in reality, users might have some complex requirements about the surroundings of their desired properties. To deal with this unsatisfied demand, we choose to facilitate an advanced query type – Spatial Pattern Matching (SPM), which is a new type of spatial group keyword query raised in recent research. Led by our supervisor, Dr. Reynold C. K. Cheng, its solutions have been well-discussed in theory. In our project, we want to fit these theories in this real-life scenario by resolving practical issues, as well as realizing some additional functionalities related to property searching. In the end, we have developed a standalone web-based application to demonstrate the importance and practicality of this newly proposed functionality.
SpaceKey: Exploring patterns in spatial databases for property searching Read More »
This project investigates how mutual funds leverage credit derivative by studying their routine filings to the U.S. Securities and Exchange Commission. Credit derivatives are used to transfer credit risk related to an underlying entity from one party to another without transferring the actual underlying entity. Therefore, we developed both rule-based and NLP based methods to extract CDS information from thousands of files and aggregate into a dataset and further developed a one of its kind search engine to provide quick access to historic data
Understanding financial reports using natural language processing Read More »