Two FST students receive best paper awards at international conferences
澳大科技學院博士生獲兩國際會議最佳論文奬
10 Jan 2014
(From left) Wen Guoxing and Prof. Philip Chen
（左起）文國興與陳俊龍
Two PhD students from the University of Macau (UM) Faculty of Science and Technology (FST) received best paper awards at international meetings. Zhou Jin received the Best Paper Award at the 2013 International Conference on Fuzzy Theory and Its Applications (iFuzzy2013), while Wen Guoxing received the Best Student Paper Award (Final List) at the 2013 International Automatic Control Conference.
More than 120 papers from around the world were presented at the iFuzzy2013, which was attended by four editor-in-chiefs of IEEE Transactions and other participants. Only six papers made it to the final list of best papers. The other five recipients of the Best Paper Award are from Chung Cheng University in Taiwan; the Universiti Teknologi MARA in Malaysia; as well as the Osaka Institute of Technology, the University of Electro-Communications, and Hokkai-Gakuen University in Japan.
Zhou’s paper, entitled "Multi-Attribute Decision Making for Data-centric Routing in Wireless Sensor Networks", is co-authored with FST Dean Prof. Philip Chen and Dr. Chen Long, who is also from FST. The paper was selected for the Best Paper Award for providing a novel data-centric routing algorithm in wireless sensor networks, which not only can make various routing decisions according to the choice of different attributes to meet diverse routing requirements of users, but can also achieve a good balance in energy consumption of sensors and the delay time of data transmission. More importantly, as a fundamental data routing research, the proposed algorithm can also be widely applied in complex networking systems such as the Internet of Things, intelligent transportation systems, and public networks.
Another PhD student Wen Guoxing received the Best Student Paper Award (Final List) at the 2013 International Automatic Control Conference (CACS 2013). Wen's paper, entitled "Adaptive Consensus Tracking Control for a Class of Nonlinear Multi-agent Systems," is co-authored with FST Dean Prof. Philip Chen. The conference accepted more than 180 papers from around the world, and only six made it to the final list of best papers.
Wen's paper proposes a novel consensus control method for a class of nonlinear multi-agent systems based on the universal approximation property of neural networks. According to the Lyapunov stability theorem, it is proven that the nonlinear multi-agent system is stable and the consensus tracking errors can converge to a small neighborhood of zero by applying the proposed control method. The effectiveness of the developed scheme is further verified by a simulation example.
澳門大學科技學院兩名博士生分別獲得國際會議的最佳論文獎：周勁獲二○一三年度國際模糊理論及應用大會（iFuzzy2013）最佳論文奬，文國興則在IEEE 2013 CACS國際自動控制會議上獲得最優學生論文奬。
今年，超過一百二十篇論文發表於iFuzzy，當中僅有六篇被選為最佳論文。獲獎者來自日本大阪工業大學、日本電氣通信大學、日本北海學園大學、台灣成功大學、馬來西亞瑪拉工藝大學和澳門大學。
周勁的論文與澳大科技學院院長陳俊龍教授和陳龍博士合作，題目是《基於多屬性決策的無線傳感網路數據路由》。該論文為無線傳感網路提供了一種全新的數據路由算法。這種算法不僅可以基於不同用戶需求作出不同決策，而且還能在能量消耗和數據傳輸時間獲得較好的平衡。作為一種基礎性的路由研究，周勁設計的算法可以廣泛應用到複雜的網絡系統，如物聯網系統、智能交通系統和公共網絡系統之中。
另外，IEEE 2013 CACS國際自動控制會議共收錄一百八十多篇論文，亦只有六篇能入選最優學生論文，文國興的論文《非線性多智能體系統的自適應一致跟蹤控制》為其中之一。在陳俊龍教授的指導下，文國興基於神經網絡廣泛的逼近性質，通過李亞普諾夫穩定性理論提出了一種非線性多智能體的自適應一致跟蹤控制方法，證明了這種方法的收斂性，並用仿真實例進一步驗證了這種方法的有效性。
(From left) Prof. Philip Chen, Zhou Jin and Chen Long
（左起）陳俊龍、周勁與陳龍