TRAJECTORY

作品数:739被引量:1490H指数:13
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相关领域:自动化与计算机技术更多>>
相关作者:左绿水姚海琳朱灏胡平杰王昶更多>>
相关机构:东南大学温州医科大学中国科学技术大学中南大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家教育部博士点基金更多>>
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Indoor Uncertain Semantic Trajectory Similarity Join
《Journal of Computer Science & Technology》2024年第6期1441-1465,共25页Hong-Bo Yin Dong-Hua Yang Kai-Qi Zhang Hong Gao Jian-Zhong Li 
supported by the National Natural Science Foundation of China under Grant Nos.U22A2025,U19A2059,61732003,61832003,U1811461,and 62102119;the Key Research and Development Projects of the Ministry of Science and Technology of China under Grant No.2019YFB2101902.
With the widespread deployment of indoor positioning systems, an unprecedented scale of indoor trajectories is being produced. By considering the inherent uncertainties and the text information contained in such an in...
关键词:filtering-and-verification framework indoor uncertain semantic trajectory inverted index trajectory similarity join 
Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing
《Journal of Computer Science & Technology》2022年第5期1026-1048,共23页She Sun Shuai Ma Jing-He Song Wen-Hai Yue Xue-Lian Lin Tiejun Ma 
This work was partially supported by the National Natural Science Foundation of China under Grant Nos.61925203 and 62172024;Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing。
With the advancing of location-detection technologies and the increasing popularity of mobile phones and other location-aware devices,trajectory data is continuously growing.While large-scale trajectories provide oppo...
关键词:ANONYMIZATION PRIVACY reidentification TRAJECTORY UTILITY 
Detecting Anomalous Bus-Driving Behaviors from Trajectories
《Journal of Computer Science & Technology》2020年第5期1047-1063,共17页Zhao-Yang Wang Bei-Hong Jin Tingjian Ge Tao-Feng Xue 
supported by the National Natural Science Foundation of China under Grant Nos.61802373 and 61472408;Tingjian Ge was supported in part by the National Science Foundation of USA under Grant Nos.IIS-1149417 and IIS-1633271.
In urban transit systems,discovering anomalous bus-driving behaviors in time is an important technique for monitoring the safety risk of public transportation and improving the satisfaction of passengers.This paper pr...
关键词:anomaly detection bus trajectory crowd sensing bus-driving safety 
You Are How You Behave-Spatiotemporal Representation Learning for College Student Academic Achievement
《Journal of Computer Science & Technology》2020年第2期353-367,共15页Xiao-Lin Li Li Ma Xiang-Dong He Hui Xiong 
This work was supported by the National Natural Science Foundation of China under Grant Nos.61773199 and 71732002;the National Key Research and Development Program of China under Grant No.2018YFB1004300.
Scholarships are a reflection of academic achievement for college students.The traditional scholarship assignment is strictly based on final grades and cannot recognize students whose performance trend improves or dec...
关键词:ACADEMIC ACHIEVEMENT SPATIOTEMPORAL TRAJECTORY feature engineering STUDENT segmentation 
Location and Trajectory Identification from Microblogs
《Journal of Computer Science & Technology》2019年第4期727-746,共20页Na Ta Guo-Liang Li Jun Hu Jian-Hua Feng 
the National Natural Science Foundation of China under Grant Nos.61802414,61632016,61521002 and 61661166012;the National Basic Research 973 Program of China under Grant No.2015CB358700;the Social Science Foundation of Beijing under Grant No.18XCC011;the Humanities and Social Sciences Base Foundation of Ministry of Education of China under Grant No.16JJD860008,Huawei,and TAL(Tomorrow Advancing Life)education.
The rapid development of social networks has resulted in a proliferation of user-generated content(UGC),which can benefit many applications.In this paper,we study the problem of identifying a user's locations from mic...
关键词:LOCATION IDENTIFICATION microblog TRAJECTORY IDENTIFICATION 
Searching Activity Tra jectories with Semantics
《Journal of Computer Science & Technology》2019年第4期775-794,共20页Li-Hua Yin Huiwen Liu 
the National Natural Science Foundation of China under Grant No.61872100.
With the widespread use of smart phones and mobile Internet,social network users have generated massive geo-tagged tweets,photos and videos to form lots of informative trajectories which reveal not only their spatio-t...
关键词:SPATIO-TEMPORAL database ACTIVITY TRAJECTORY semantic understanding TRAJECTORY INDEXING TRAJECTORY QUERY processing 
Mining Semantic Trajectory Patterns from Geo-Tagged Data被引量:6
《Journal of Computer Science & Technology》2018年第4期849-862,共14页Guochen Cai Kyungmi Lee Ickjai Lee 
User-generated social media data tagged with geographic information present messages of dynamic spatiotemporal trajectories. These increasing mobility data provide potential opportunities to enhance the understanding ...
关键词:semantic trajectory SPATIO-TEMPORAL geo-tagged data trajectory pattern mining 
Complete Your Mobility: Linking Trajectories Across Heterogeneous Mobility Data Sources被引量:1
《Journal of Computer Science & Technology》2018年第4期792-806,共15页Guo-Wei Wang Jin-Dou Zhang Jing Li 
Nowadays, human activities and movements are recorded by a variety of tools, forming different trajectory sets which are usually isolated from one another. Thus, it is very important to link different trajectories of ...
关键词:trajectory linking trajectory data mining trajectory similarity mobility pattern mining 
Context-Based Moving Object Trajectory Uncertainty Reduction and Ranking in Road Network被引量:3
《Journal of Computer Science & Technology》2016年第1期167-184,共18页Jian Dai Zhi-Ming Ding Jia-Jie Xu 
This work was supported by the National High Technology Research and Development 863 Program of China under Grant No. 2013AA01A603, the Pilot Project of Chinese Academy of Sciences under Grant No. XDA06010600, and the National Natural Science Foundation of China under Grant No. 61402312.
To support a large amount of GPS data generated from various moving objects, the back-end servers usually store low-sampling-rate trajectories. Therefore, no precise position information can be obtained directly from ...
关键词:moving object trajectory uncertainty reduction road network context-aware information 
VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services被引量:1
《Journal of Computer Science & Technology》2015年第4期725-744,共20页商烁 谢珂心 郑凯 刘家俊 文继荣 
This work is partly supported by the National Natural Science Foundation of China under Grant No. 61402532, the Science Foundation of China University of Petroleum (Beijing) under Grant No. 2462013YJRC031, and the Excellent Talents of Beijing Program under Grant No. 2013D009051000003.
Variable influence duration (VID) join is a novel spatio-temporal join operation between a set T of trajectories and a set P of spatial points. Here, trajectories are traveling histories of moving objects (e.g., tr...
关键词:TRAJECTORY spatial database spatial join spatio-temporal join 
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