PPT-Trajectory-Based Operations(TBO)
Author : pasty-toler | Published Date : 2016-06-09
Saulo Da Silva SIPASBUBangkok2012 WP25 Workshop on preparations for ANConf12 ASBU methodology Bangkok 1418 May 2012 2 OVERVIEW Context Baseline Concept Applicability
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Trajectory-Based Operations(TBO): Transcript
Saulo Da Silva SIPASBUBangkok2012 WP25 Workshop on preparations for ANConf12 ASBU methodology Bangkok 1418 May 2012 2 OVERVIEW Context Baseline Concept Applicability Capabilities. Systems Operations & Management. NCHRP 3-94. Steve Lockwood – PB. Phil Tarnoff – University of Maryland. Rich Margiotta, Erin Flanigan – CSI. John Conrad – CH2MHill. Scott Rawlins . –. SSOM and Panel Chair. Useful Concepts and tools. C. Antonio Sánchez. Dept of Elec & Comp Eng. University of British Columbia. Vancouver, BC, Canada. antonios@ece.ubc.ca. Siavash Khallaghi. Dept of Elec & Comp Eng. Crime Scene A: a shot was fired at the white vehicle parked across from the target store. The car is parked 75 ft from the store. A shot was believed to have been fired from the roof of the store. The store is 40 ft tall. Is it possible for the shot to come from the roof of the building? Explain your answer.. : Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering. Jae-Gil Lee, . Jiawei. Han, . Xiaolei. Li, Hector Gonzalez. University of Illinois at Urbana-Champaign. VLDB 2008. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER . GRAPHICS, . DECEMBER 2012. Authors:. . Christian . Tominski. Heidrun. Schumann. Gennady . Andrienko. Natalia . Andrienko. BY:. Farah . Kamw. Introduction. . USING HIERARHICAL REGION-BASED . . AND . . TRAJECTORY-BASED CLUSTERING . . JaeGil. Lee, . Jiawei. Han, . . Xiaolei. . Li, . Hector Gonzalez. Department of Computer Science. Crime Scene A: a shot was fired at the white vehicle parked across from the target store. The car is parked 75 ft from the store. A shot was believed to have been fired from the roof of the store. The store is 40 ft tall. Is it possible for the shot to come from the roof of the building? Explain your answer.. of Massive Trajectory Data based on MapReduce. Qiang. Ma, Bin Yang (. Fudan. University). Weining. . Qian. , . Aoying. Zhou (ECNU). Presented By: . Xin. Cao (Aalborg University). Outline. Introduction . CS587x Lecture. Department of Computer Science. Iowa State University. Location-based Services (LBS) . Dilemma. To use an LBS, a user needs to disclose her location, but a person’s whereabouts may imply sensitive private information. Decision-making and planning. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Decision-making hierarchy. Motion planning. Overview. 2. Decision-making hierarchy. 3. Route Planning. Behavioral Planning. Jie Bao, . Ruiyuan. Li, . Xiuwen. Yi, Yu Zheng. Urban Computing Group. Microsoft Research, China. Motivation. Bridge the gap between . massive. . trajectory data. and . urban computing applications. Group-Based Trajectories for the analysis of observational cohorts Michael W. Plankey, PhD Professor Georgetown University Medical Center Washington, DC, USA 7,087 Men who have sex with Men (MSM) enrolled in Fly and trajectory scans Tim Mooney 2/27/2015 Fly-scan choices Software fly scan Data acquired while positioners move at constant speed Detectors triggered by software Periodically, or at user-specified time intervals Chi-Yin Chow. Department of Computer Science. City University of Hong Kong. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota . Outline. Introduction. Protecting Trajectory Privacy in Location-based Services.
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