COVER STORY • 封面專題 2023 UMAGAZINE 27 • 澳大新語 17 The new generation of information technologies, including big data and AI, is the driving force behind smart city development, promoting smart applications in advanced cities around the world. To facilitate such applications, a research group on urban big data and intelligent technology of the State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC) at the University of Macau (UM) conducts fundamental research to design highly-efficient algorithms in order to enhance the computational thinking capabilities of smart cities and extract valuable information to assist decision-makers. Developing Algorithms to Support Smart City Applications With the support of big data, intelligent technologies are transforming all aspects of our lives, from government decision-making and services, to the way people live, to industrial layout and urban planning. The research group is committed to solving fundamental scientific problems facing big data analysis and processing by developing mathematical models, principles, and computational methodologies. Through big data analytics, the researchers can extract accurate and useful information to inform decision-making and improve products based on the practical needs of residents in order to develop more human-centred cities. Computational science is not only an important symbol of China’s competitiveness in science and technology, but also a discipline that UM developed in recent years. The solutions to many major scientific problems rely heavily on fundamental algorithms and computational models. Currently, the researchers are developing a number of high-performance fundamental algorithms and exploring multisource data fusion techniques for smart city development. They have made breakthroughs in creating methods for knowledge graph construction with big data and an intelligent multimedia information processing system based on deep learning. Building Urban Knowledge Graphs Knowledge graphs integrate information and data available on the network to make them easier to compute and understand, thereby enabling rapid responses and reasoning. The research group uses data streams that are constantly changing and affecting urban operations to build a dynamic information system. The system can generate knowledge graphs and provide city managers with comprehensive monitoring information. In July 2022, a team led by U Leong Hou, interim head of the Centre for Data Science and associate professor in SKL-IOTSC, developed the Macau COVID-19 HotSpot Map, an efficient real-time system based on spatiotemporal big data and knowledge graph technology. With the large variety and volume of epidemic data in hand, the group used the laboratory’s urban data platform and knowledge graph technology to analyse spatiotemporal data in relation to the transmission chains of different viral strains. The 余亮豪教授 Prof U Leong Hou 澳大與中科院深圳先進技術研究院共建人工智能與機器人聯合實驗室 The Joint Laboratory of Artificial Intelligence and Robotics jointly established by UM and the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences
RkJQdWJsaXNoZXIy MTQ1NDU2Ng==