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各位老師、各位同學好，
不久前您我剛經歷過台灣缺水危機之苦，相信大家記憶猶新，有沒有適當的科學方法可幫助我們有效地節省水資源呢？這個問題可由系上安排的一場講座得 到回答。系上特別邀請維吉尼亞理工大學呂昌田教授返台蒞本校作專題演講，呂教授係金門人，迄今旅美超過二十年，長期在「資料探勘」(data mining)領域耕耘，近年專研「智慧型計量」(smart metering)技術，面對不同國籍的學生進行教學與帶領研究，累積豐富的心得和經驗。這場演講將把第一手的最新知呈現在聽眾面前，機會難得，請善加把 握，歡迎彼此交流。如果同學對赴美深造或工作有任何詢問，也歡迎前來就教，呂教授也樂於分享過來人經驗之談。
演講摘要
The increasing demands on drinkable water, along with population growth, water-intensive agriculture and economic development, pose critical challenges to water sustainability. New techniques to long-term water conservation that incorporate principles of sustainability are expected. Recent studies have shown that providing customers with usage information of fixtures could help them save a considerable amount of water. Existing disaggregation techniques focus on learning consumption patterns for individual devices. Little attention has been given to the hierarchical decomposition structure of the aggregated consumption. In this talk, I will present a Deep Sparse Coding based Recursive Disaggregation Model (DSCRDM) for water conservation. This model incorporates a recursive decomposition structure to perform the disaggregation task. An efficient and effective algorithm is developed to automatically learn the disaggregation architecture, along with discriminative and reconstruction dictionaries for each layer. We demonstrated that our proposed approach significantly improved the performance of the benchmark methods on a large scale disaggregation task and illustrated how our model could provide practical feedbacks to customers for water conservation.
 講者簡歷 Dr. Chang-Tien Lu is an Associate Professor in the Department of Computer Science at Virginia Polytechnic Institute and State University. He served as Program Co-Chair of the 18th IEEE International Conference on Tools with Artificial Intelligence in 2006 and as General Co-Chair of the 20th IEEE International Conference on Tools with Artificial Intelligence in 2008 and the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems in 2009. He was elected to serve as Vice Chair of the ACM Special Interest Group on Spatial Information (ACM SIGSPATIAL) during 2011-2014. Dr. Lu's research work focuses on emerging requirements for analyzing, retrieving, and visualizing massive scientific data. His ongoing projects range from explorations of fundamental access issues to practical applications that deal with data analysis and knowledge discovery tasks. His research has been sponsored by the National Science Foundation, National Institutes of Health, Department of Defense, Virginia Transportation Research Council, and District Department of Transportation. He received a PhD in Computer Science from the University of Minnesota at Twin Cities. More details are available at http://www.cs.vt.edu/~ctlu/. 若有任何詢問，請與紀光輝聯繫(chikh@yuntech.edu.tw; 分機4245)，謝謝。 附件：演講公告
 | Poster-呂昌田教授-2015-7-22.pdf
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