Development of Sensor Registry System-Based Predictive Information Service Using a Grid
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[1] Deyi Li,et al. Mining regular routes from GPS data for ridesharing recommendations , 2012, UrbComp '12.
[2] Sajal K. Das,et al. IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility , 2018, IEEE Transactions on Mobile Computing.
[3] Mahesh K. Marina,et al. Urban WiFi characterization via mobile crowdsensing , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).
[4] Dongwon Jeong,et al. Improving Path Prediction Using Grid for Sensor Registry System , 2018 .
[5] Daewon Kim,et al. Cloud Computing to Improve JavaScript Processing Efficiency of Mobile Applications , 2017, J. Inf. Process. Syst..
[6] Xing Xie,et al. Destination prediction by sub-trajectory synthesis and privacy protection against such prediction , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).
[7] Fan Ye,et al. Mobile crowdsensing: current state and future challenges , 2011, IEEE Communications Magazine.
[8] Reza Curtmola,et al. Fostering participaction in smart cities: a geo-social crowdsensing platform , 2013, IEEE Communications Magazine.
[9] Yong-Han Lee,et al. MongoDB-Based Repository Design for IoT-Generated RFID/Sensor Big Data , 2016, IEEE Sensors Journal.
[10] Sukhoon Lee,et al. A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud , 2018, J. Sensors.
[11] Alexey G. Finogeev,et al. The convergence computing model for big sensor data mining and knowledge discovery , 2017, Human-centric Computing and Information Sciences.
[12] Wei Wu,et al. A “semi-lazy” approach to probabilistic path prediction in dynamic environments , 2013, KDD.
[13] Dongwon Jeong. Framework for Seamless Interpretation of Semantics in Heterogeneous Ubiquitous Sensor Networks , 2012 .
[14] Robert Ighodaro Ogie,et al. Adopting incentive mechanisms for large-scale participation in mobile crowdsensing: from literature review to a conceptual framework , 2016, Human-centric Computing and Information Sciences.
[15] Dongwon Jeong,et al. A Network Coverage Information-Based Sensor Registry System for IoT Environments , 2016, Sensors.
[16] Ling Chen,et al. A personal route prediction system based on trajectory data mining , 2011, Inf. Sci..
[17] Rosario Culmone,et al. A Data Acquisition and Document Oriented Storage Methodology for ANT+ Protocol Sensors in Real-Time Web , 2016, 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA).
[18] Xavier Masip-Bruin,et al. Data Preservation through Fog-to-Cloud (F2C) Data Management in Smart Cities , 2018, 2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC).
[19] Emmanuel Lochin,et al. Sensor observation streams within cloud-based IoT platforms: Challenges and directions , 2017, 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN).
[20] Dongwon Jeong,et al. Path prediction-based sensor filtering method , 2015, 2015 IEEE SENSORS.
[21] Shaojie Qiao,et al. A Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models , 2015, IEEE Transactions on Intelligent Transportation Systems.
[22] Dongwon Jeong,et al. Path Prediction Method for Effective Sensor Filtering in Sensor Registry System , 2015, Int. J. Distributed Sens. Networks.
[23] Deepak Puthal,et al. Big-Sensing-Data Curation for the Cloud is Coming: A Promise of Scalable Cloud-Data-Center Mitigation for Next-Generation IoT and Wireless Sensor Networks , 2017, IEEE Consumer Electronics Magazine.