主催：名古屋大学情報科学研究科
共催：名古屋大学情報連携基盤センター
教育システム情報学会東海支部
協賛：情報処理学会東海支部
名古屋大学情報科学研究科学術講演会
講演者の都合により中止となりました(9月6日)
日時：2007年9月20日（木）13:30-14:30
場所：工学研究科1号館131講義室
講演者：Jun FENG (中国・河海大学教授)
講演者略歴：
・2004年3月 名古屋大学大学院工学研究科情報工学専攻
博士課程後期課程修了
博士（工学）取得
・2004年4月〜 河海大学助教授
・2007年4月〜 河海大学教授
場所：工学研究科1号館131講義室
講演者：Jun FENG (中国・河海大学教授)
講演者略歴：
・2004年3月 名古屋大学大学院工学研究科情報工学専攻
博士課程後期課程修了
博士（工学）取得
・2004年4月〜 河海大学助教授
・2007年4月〜 河海大学教授
講演タイトル：Management of Network-Constrained Moving Objects
講演概要：
With the development of network, telecommunication and sensor technologies, data stream theories and technologies becomes a hot research direction of database domain, especially in specific applications, e.g., Intelligent Transportation Systems (ITS), Telecommunications, and so on. In ITS, the temporal position series of road network-constrained vehicles can be regarded as network-constrained data streams. Network-constrained data streams are different from the ordinary data stream in 2D Euclidean space, because not only the moving directions but also the distance among moving objects are constrained by the road network. Therefore, the neighboring relations among moving objects should take the underlying road network into consideration.
Our research centers on new index structures of network-constrained moving objects for ITS purpose. We proposed Composite Structures for indexing current / forecasting positions and aggregate information for network-constrained moving objects.
This speech first reviews the management methods of moving objects and network-constrained moving objects, and then compares the typical index structures in 2D Euclidean space with our proposed ones in non-Euclidean space. At the end of this speech, some research directions and future works in this research domain are given.
BTW, I will say something about our university, college and lab (Hohai University, College of Computer & Information Engineering and Spatial Database Lab).
With the development of network, telecommunication and sensor technologies, data stream theories and technologies becomes a hot research direction of database domain, especially in specific applications, e.g., Intelligent Transportation Systems (ITS), Telecommunications, and so on. In ITS, the temporal position series of road network-constrained vehicles can be regarded as network-constrained data streams. Network-constrained data streams are different from the ordinary data stream in 2D Euclidean space, because not only the moving directions but also the distance among moving objects are constrained by the road network. Therefore, the neighboring relations among moving objects should take the underlying road network into consideration.
Our research centers on new index structures of network-constrained moving objects for ITS purpose. We proposed Composite Structures for indexing current / forecasting positions and aggregate information for network-constrained moving objects.
This speech first reviews the management methods of moving objects and network-constrained moving objects, and then compares the typical index structures in 2D Euclidean space with our proposed ones in non-Euclidean space. At the end of this speech, some research directions and future works in this research domain are given.
BTW, I will say something about our university, college and lab (Hohai University, College of Computer & Information Engineering and Spatial Database Lab).