PPT-PRIVACY ASSURANCE FOR TRAJECTORY

USING MIX ZONES MODEL THIRD REVIEW BATCH NO19 PROJECT GUIDE Ms S NIVETHA ME APCSE RLATHAA81210132041 RMANGAIYARKARASI81210132045 KMONICA81210132051. Ying Cai. Department of Computer Science. Iowa State University. Ames, IA 50011. Location-based Services. Risks Associated with LBS. Exposure of service uses. Location privacy . Hospital. Political Party. The Case of Sporadic Location Exposure. Reza . Shokri. George . Theodorakopoulos. George . Danezis. Jean-Pierre . Hubaux. Jean-Yves Le . Boudec. The 11th Privacy Enhancing Technologies Symposium (PETS), . --Presented By . Sudheer. . Chelluboina. .. Professor: . Dr.Maggie. Dunham. Contents . Outline of Paper. Introduction . Index Structures. Due to rapid increase in the use of location based services applications, large amount of location data of moving object is recorded. Because of that efficient indexing techniques are required to manage these large amounts of trajectory data. All index structures are focused on either indexing past, current and future locations. Every indexing structure or techniques discussed in this paper will make simpler indexing or it will increase the overall query processing performance. . 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.. . 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.. Cynthia Sung, Dan Feldman, Daniela . Rus. October 8, 2012. Trajectory Clustering. 1. Background. Noise. Sampling frequency. Inaccurate control. SLAM . [. Ranganathan. and . Dellaert. , 2011; Cummins and Newman, 2009; . Bandar . M.Khaleel. 200600279. Telecommunication . Outline . Introduction. Objectives. Smart Phones Family Features and Specification. Blackberry. ’. s Unique Features . BlackBerry and legality issues. 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. Ke. Deng, . Kexin. . Xie. , Kevin . Zheng. and . Xiaofang. Zhou. 9/06/2016. 1. 2. Chapter Overview. Trajectory Query Classification. Trajectory Similarity Measure. Trajectory Data Index. Trajectory Query Processing. 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. Lecture 3. Designing an Interplanetary Trajectory. Designing an Interplanetary Trajectory combined knowledge of spacecraft & orbital dynamics and optimization theory. Selecting an appropriate level of fidelity for your analysis is also crucial. CHINA. Submitted by the expert from China. Informal document . GRE-89-13. (89th GRE, 24 to 27 October 2023, . agenda . item 6 (. a. )) . Scenarios:. When driving on adverse road condition, narrow, uneven, with smalls stones or sharp metal..