The first speaker was Professor Way Kuo (President, CityU) and his presentation topic entitled “Big Data and Small Data”. Prof. Kuo said too many data points were just like too few data points to present the real solution to some of the problems encountered. In the beginning, Prof. Kuo showed a diagram with a straight line of three point and he said “Don’t draw conclusion in very limited of data. Then examples on safety of nuclear energy and the effectiveness of teaching were discussed.
Prof. Kuo showed the big data (ten years data) for scatter plot of course rating vs class size. It was also difficult to draw conclusion. The he demonstrated the rating by three class size set and no significant different was found. The next set of data was research productivity vs age of professors. It was found middle aged professors had higher research productivity (including paper, book, conference and funding) than senior one. Then the case of Fukushima nuclear accident was discussed. Even though fault tree analysis was employed in many nuclear power plants to analysis how likely it would be fail, some critical elements were not identified. Nuclear power plants control mechanism provided huge data but the crisis data were only three cases (1979 - Three Mile Island accident, 1986 - Chernobyl disaster and 2011 - Fukushima nuclear accident).
Finally, Prof. Kuo concluded Big Data benefit on agriculture, World cup winner – German and Cloud computing. However, many arguments in education were because of small data. On the other side, Philosophy attracted many followers without data!
The second speaker was Prof. Yunhe Pan (Member of Chinese Academy of Engineering) and his presentation named “Big Data and Knowledge Service”. He said the big data would become the “power” driving the economic development in the 21st century, like the petroleum in the 20th century. It was come from the United Nations white paper of “Big Data for Development: Challenges and Opportunities” on 10 July 2012.
Big Changes in the World were discussed below.
(I) Industrial revolution (The 3rd Industrial Revolution through converging the internet with renewable energies will lead to the big revolutions in production, living, society and economy.)
(II) Technological revolution (new manufacturing technologies, new energy sources and smart city)
(III) Economic revolution (e-Commerce booming in China and online trade)
(IV) New space in the world (among Cyber Space (C), Human Society (H) and Physical World (P) interactions)
(V) The view of President Xi Jinping about Information Industry
After that Prof. Pan introduced some new services of Information and Knowledge below.
Service 1: New Organization of CADAL Medical Bibliographies. The whole human body structure in the image and all photos, slides and books related each organ could be found after one click!
Service 2: Incident Prediction (e.g. GDP forecasting using enterprise (business) development index)
Service 3: Crowd-sourcing (e.g. attaching sensors to the mobile phones of residents would create millions of monitoring points)
Service 4: Planning Optimization
Service 5: Deepening of cognition (e.g. TCM Knowledge System)
Finally, Prof. Pan introduced China Knowledge Centre for Engineering Sciences and Technology by Chinese Academy of Engineering (CAE) which aimed to establish a knowledge platform. The age of big data is today and the age of big knowledge is tomorrow.
The third speaker was Prof. Hsiang-tsung Kung (Member of US National Academy of Engineering, and Academia Sinica) and his topic was “Big Data and Internet of Things”. These two subjects were highly related such as use of IoT devices in getting massive data for data analytics. Others might not be immediately obvious such as the use of IoT-device detected contextual information to enhance big data analytics.
The forth speaker was Prof. Deren Li (Member of Chinese Academy of Engineering, and Chinese Academy of Sciences) and his talk entitled “Big Data in Smart City”. The huge data collected by ubiquitous sensor networks of the smart city can be transferred to the cloud computing center for computation and understanding, providing intelligent service for economic development, city management and publics. Then our life can become “smart”.
The fifth speaker was Prof. Qiang Yang (Head of Huawei Noah’s Ark Laboratory, and Professor of HKUST) and his topic named “User Modeling in Social Media and Big Data”. High-quality user models could enable superior services and functions for end users. Prof. Yang briefed one billion user network transfer in Tencent QQ and Weibo in 2013.
Then he describe the research in modelling users’ information preferences on Microblogs using a novel user message model and discussed the work on extracting users’ daily activities (e.g. dinning and shopping). The following diagram showed location-based analysis in each hotspot area.
After that Prof. Yang mentioned the Heterogeneous Transfer Learning and he said using about 1000 words (text) to identify the image in English but only using 200 words (text) to identify the image in Chinese. Finally, he summarized to store, move and manage big data and to discover knowledge from it. User modeling research was employed O2O in Social Data and Mobile Data.
At the end, Prof. Yang showed a video “MoKA” which was their imagination future product using big data for your life from baby to elder.
The last speaker was Prof. King-ning Tu (Fellow of The Metallurgical Society (TMS), and Member of Academia Sinica) and his topic named “Statistical Analysis of Reliability Data in VLSI Interconnect Technology”. The analysis of reliability data in very-large-scale-integration (VLSI) of interconnects in silicon devices was reviewed. To complete the scan of an area of 1mm x 1mm on a silicon chip, typically over 1 million data was needed.
Reference:
CityU - http://www.cityu.edu.hk/
Renowned academicians discuss big data at CityU - http://wikisites.cityu.edu.hk/sites/newscentre/en/Pages/201410131340.aspx
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