Project-in-charge
Prof. C.H. Cheng
Project duration
Jan 15 - Dec 17
Abstract:
The SARS epidemic in 2003 was traced back to an outbreak in a hospital in Hong Kong. In 2013, a Frenchman died of a SARS-like virus. He got infected while he was sharing a common hospital room with an infective. To ensure public health, we need a further understanding of human interaction dynamics in a hospital environment and a deeper investigation of nosocomial infections for effective and efficient control strategies. This research leverages our recent work in the active RFID traceability technologies. Our system is developed with the capability to determine the indoor location of an active tag. This system was installed inside two wards (11A & 11C) of Prince of Wales Hospital for a 4-month formal pilot study with patient and medical staff participation to improve patient care. More...
Project-in-charge
Prof. C.H. Cheng
Project duration
May 14 - Dec 14
Abstract:
This project aims to develop a Tree Guard Monitoring System (TGMS), which is an automatic, continuous and scalable monitoring system against possible tree theft from places ranging from public country parks to institutional managed properties and to private gardens. The Tree Guard Monitoring System will provide the functions of tree theft prevention, protection and monitoring to aid the tree management teams to devise proactive and reactive measures to safe guard trees. It is especially vital to protect endangered tree species such as Aquilaria Sinensis and Buddhist Pine, which have special values in black markets. More...
Project-in-charge
Prof. C.H. Cheng
Project duration
Jan 13 - Dec 14
Abstract:
The objective is to develop methodology for planning of telecommunication networks under risk and uncertainty and for closely related problem of evaluation of industrial projects in telecommunications dealing with development of high speed multiservice telecommunication networks under uncertainty. In order to achieve this aim we are going to adapt and further develop the advanced methods of operations research specifically developed for decision support under uncertainty and in particular recently emerged optimization techniques known under the name of stochastic programming. Important component of this objective is to train young researchers which will be capable to work on these topics further. More...
