The 2nd Engineering InnoShow

New Geo-material for Reclamation: Coal Ash-hardened Marine Soil

Extensive reclamations such as the Airport 3rd Runway System, Tung Chung New Town Extension and the Lantau Tomorrow Vision are proposed and these megaprojects require over 500 million tonnes of backfilling material. However, local fill banks only provide less than 10 million tonnes yearly. In order to alleviate the shortage, this study aims at producing a new geo-material by hardening soft marine soil primarily with coal ash generated from power plants.

Unconfined compression tests were carried out on hardened soil specimens. A set of variables were tested to examine the optimum mix design. About half of the specimens achieved an unconfined compressive strength of over 1 MPa.

The result shows that water to stabiliser ratio and the curing duration are the key strength-contributing factors. It was also found that the unconfined compressive strength of hardened soil is nearly proportional to its deformation moduli. These showed that coal ash is effective yet economic for hardening marine soil.

MEASURE: A SenseHat Smart Home Measuring System

This project fully utilises the sensors on SenseHat to build a SenseHat smart home measuring System MEASURE. There are three functionalities provided by MEASURE: Level meter, Compass, and HomeKit Integration. Level meter can detect if a line is horizontal or if a surface is flat, and a compass can calculate the degrees turned as well as finding correct directions. If not in use, MEASURE can be a perfect HomeKit accessory that reports readings to your device. So MEASURE is a smart tool that can detect temperature and humidity right at your mobile and help determine positions for furniture placement. It can also provide angle guidance for homemade DIY stuff, and assist you in many other areas.

WeMake

WeMake provides four major services, which include customized dolls, pattern engraved phone glass film, customized accessories and print whatever you want. WeMake has implemented four advanced technologies to explore new business opportunities and attract customers. They are 3D scanning, 3D printing, augmented reality and cloud computing with the usage of mobile devices. First, customers would select the services and upload photo to the WeMake website. With the augmented reality technology, a preview of the product could be provided for customers. Once customers are satisfied with the preview, WeMake would print the product and deliver the finished product to customers. WeMake would always follow our mission: Whatever it takes, WeMake.

Robotics and mechatronics (RoboMaster 2020)

Robomaster is a national robotics competition for university students, hosted by DJI. The project is about forming a team to design various types of smart robots which can engage in face-to-face, videogame-style battles. The preparation process involves the knowledge in the following disciplines: mechanical and hardware design, control theory application, computer vision and smart algorithm, technical management. The ultimate purpose of the project is to develop the skills, quality and team spirit of engineering students that can be beneficial in their future career.

Design, Build & Fly 2020 team 3

With the ever-growing demand for air cargo capacity comes the pursuit for cargo aircraft that combine a large payload with optimum efficiency. The Design, Build and Fly team set out to meet this challenge by creating a radio-controlled model airplane, to compete in the Payload Challenge organized by the British Model Flying Association (BMFA). The process involved careful research into aeronautical engineering theories and creative solutions. The effectiveness of the design was proved in test flights by two fully functional prototypes. Various issues were identified during the trials, carefully examined, and subsequently addressed in an iterative manner. The team has continuously implemented modifications to the design, in an effort to produce the model plane that would carry the target payload with the highest efficiency attainable, and the results will hopefully provide useful insights for future model builders and aircraft engineers alike.

Design, Build & Fly 2020 team 1

Design, Build, Fly is a project for students to design and manufacture an airplane. Our team aims at producing a radio-controlled fixed-wing aircraft that conveys a predefined liquid payload in a flight circuit. This is to demonstrate its payload carrying capability with the lightest airframe. Through this project, students could apply technical and interpersonal skills to building an airplane with unconventional configurations.

Automatic Chair Parking System

The Automatic Chair Parking System aims to provide a smart solution in classroom and
other similar environment by helping to move and arrange chairs, while reducing the risk of occupational injuries and potential dangers related to the repetitive works. This can also reduce the reliance on labor force and ultimately improve the efficiency. The system therefore is designed to autonomously transport chairs to the designated parking area with minimal human control.

Hacking Wong: Videogame

A rogue-like video game for our final project of COMP3329.
Hacking Wong follows the story of an outlandish twist to a mundane part of student life – submitting assignments. The character is late to submit his assignment and must reach the CS lab before the deadline, however, that is easier said than done since the lab is locked and he now finds himself being attacked by exploding frogs, shock boars and fire breathing dragons. Roam around the HKU campus in search of the TA who holds the key and defeat all enemies in this action-packed adventure.

Early Diagnosis of Scoliosis in Children from RGB-D Images Using Deep Learning

Scoliosis is typically diagnosed from X-ray images, but diagnostic X-rays increase the risk of developmental problems and cancer in those exposed. This project aims to eliminate children’s X-ray exposure in the early diagnosis of scoliosis by generating X-ray images of children’s backs from the corresponding harmless RGB-D images. In this project, a deep learning model based on HRNet was built and trained to detect landmark locations of the backs on the RGB-D images first. With the detected landmarks, the X-ray images of the children’s backs were eventually synthesized from the corresponding RGB-D images by another deep learning model that was built and trained based on the pix2pix model.

Automatic Chair Stacking System

Automation is the technology about combination of hardware and software to complete designated tasks with minimal manual intervention. Automation was first applied to automobile industry in the 1970s and started to extend its use in daily life since then. Automatic system has its advantages over traditional manpower in doing repetitive tasks, e.g., it maintains a high-quality standard and safety standard.

This project, the Automatic Chair Stacking System, will be cooperating with the Automatic Chair Parking System to showcase the idea of automatic conference room, i.e., to automatically set up chairs in the area.