Our Motivation is to minimize the waste of food due to passing the expiry date and better stock management. Our Main Features include Expiry Date Tracking, Record Product ,Information,Notification before expiry dates and Share with family and groups. Other Features include Other Remark memo (e.g. Price) and Show Calories / Nutrition Facts.
With the introduction of 3D printing technology, a new era of the construction industry can finally be formed! Traditionally, buildings are constructed by using wooden formwork as a mold to hold the concrete. However, engineers started researching ways to implement 3D printing technology into the construction industry, which would help reduce the waste of wood and shorten the construction time. So far, little research on 3D-printable Ultra-high Performance Concrete (UHPC) is done, and our project is to help with the research. We are designing some concrete mixes that are 3D-printable. We check their fresh state properties like workability and printability, as well as their hardened state properties such as compressive strength. We have successfully printed some models, and we are looking forward to promoting 3D-printable UHPC for the construction industry to use.
During the COVID-19 pandemic, the use of disinfectants has surged in order to contain the spread of the virus. Many disinfectants will be sent to wastewater treatment plants after use for treatment before discharging back to the environment. Nevertheless, studies have shown that large amounts of disinfectants can inhibit biological reactions during the wastewater treatment process. The activated sludge process, which counts on microorganisms to break down complex organic matters in wastewater, is particularly susceptible to disinfectants. Hence, this study aims to investigate the inhibitory effects of two common active ingredients of disinfectants, namely QACs and sodium hypochlorite, on the activated sludge process. It is hoped that the study will be able to recommend an active ingredient of disinfectant that has the required efficacy and the least impact on the wastewater treatment system.
Hong Kong is facing an increasing demand of reclamation land use. However, we are facing an unstable supply and increasing price of the tradition backfilling material – sand. Therefore, we need to investigate an alternative. Ash-strengthed marine deposit can be a solution. Marine deposit can gain strength after mixing with cement, coal ash and water. This material can also reuse contaminated marine deposit. Therefore, the feasibility of using ash-strengthened marine soil is going to be investigated.
Our team is developing a self-sustaining system that digests PET plastic using the symbiotic relationship between the bacteria Escherichia coli and the cyanobacteria Synechococcus elongatus. We engineer E. coli to express PETase and MHETase enzymes and to absorb sucrose secreted by S. elongatus, which E. coli uses as its energy source. The PETase and MHETase enzymes facilitate the degradation of PET into its monomers – terephthalic acid (TPA) and ethylene glycol (EG), which can then be repurposed in the creation of new bioplastics to maintain a circular and greener supply chain.
It is a portable and hand-free pulse oximeter where it consists of a eyeglasses probe with see-through panel. Real-time display of heart beat rate and SpO2 level can be observed by using a reflective sensor located near-ear. It can be apply on firemen’s protective helmet to check their SpO2 level during rescue which can prevent them suffer from hypoxemia.
With a rapidly ageing population in Hong Kong, there is a need to provide more volunteer services to the elderly. We introduce HINCare, an app that encourages mutual-help in the community. HINCare adopts the concept of timebanking, where each user has his/her own account to store the amount of time (”time credits”). Users earn time credits by providing services to others. The user can use the time credits to purchase other services. Moreover, HINCare uses HIN (Heterogeneous Information Network) to recommend helpers to elders.
Vera overcomes temporal, spatial, and financial barriers faced by children with speech disorders in Hong Kong, and tackles the problems faced by speech therapists. Vera is an AI-powered mobile application making use of deep learning and big data to provide accurate and immediate diagnosis and personalized treatment of speech sound disorders for children. Vera also provides speech therapists with resources that help children practice pronunciation, and progress reports that allow tracking of patients’ progress. The interactive diagnosis process is facilitated by a conversing chatbot. After diagnosis, Vera provides personalized and gamified pronunciation exercises to encourage children to receive treatment actively.
Depression is a prevalent disorder that impairs psychosocial functioning and lowers the quality of life. Low mood, loss of energy, sleeplessness, and an inability to enjoy life are depression’s significant symptoms. World Health Organization ranked unipolar depressive disorder as the third cause of disease burden in 2004 and expected it to be the leading cause by 2030. For this disease, a low diagnosis rate is a big problem, partially because of the current technology’s limitations, such as clinical-based, trigger-less, costly. So, our project comes up with a novel idea by using flash stimulus and GSR sensor to test people’s physiological reactions towards different triggers for self-prevention and preliminary diagnosis use.
This project provides a new way to measure incompatibility between quantum measurements, with notable advantages such as its ease of computation as well as it being a metric for one-dimensional quantum measurements – something that enables clustering quantum measurements using conventional machine learning techniques such as K-Medoids clustering.