PPT-Mobile sensing and data collection

Author : lindy-dunigan | Published Date : 2017-07-21

Qiuxi Zhu Mobile sensing and data collection Background IoT systems depend heavily on network infrastructure which is not uniformly and continuously accessible

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Mobile sensing and data collection: Transcript

Qiuxi Zhu Mobile sensing and data collection Background IoT systems depend heavily on network infrastructure which is not uniformly and continuously accessible Providing complete coverage by blanketing the entire region with sensors is costly and difficult in certain regions and terrains. Gina Cheung. Beth-Ellen Pennell. North American DDI Conference. April 1-2, 2014. Survey Life Cycle. Questionnaire design . Questionnaire & SMS programming . Interviewer . training. Field work. Data processing; coding . SmartPhone. Sensing. 1. Reference. Shamelessly lifted from the following paper :. A Survey of Mobile Phone Sensing. By Nicholas D. Lane, . Emiliano. . Miluzzo. , Hong Lu, Daniel Peebles, . Tanzeem. Application Development for Smart Devices. Mobile . Crowdsensing. Current State . and Future . Challenges. Mobile . Crowdsensing. .. Overview of . Crowdsensing. applications.. MCS: . Unique Characteristics . von Känel. Philipp Sommer. Roger . Wattenhofer. Ikarus. : Large-scale Participatory Sensing at High Altitudes. Over 5 billion mobile phones worldwide (. 72.6% of world population) . Smartphones account for 19% of sales in 2010. Place: Addis Ababa. Presenter . : Mr. Momodou Lamin . Fadia. . Gambia Bureau of Statistics (GBOS). Date . : . 13. th. . October 2015. Consumer & Producer Price Data Collection Using Mobile Technologies. From wireless sensor networks towards Cyber . P. hysical systems. Fang-Jing Wua, Yu-Fen Kaob, Yu-. Chee. Tsenga. ,. a. Department of Computer Science, National Chiao Tung University, Hsinchu, 30010, Taiwan. Overview. Introduction. Primary data capture. Secondary data capture. Data transfer. Capturing attribute data. Managing a data capture project. Data Collection. One of most expensive GIS activities. Many diverse sources. mmWave. sensing to mobile devices. Reusing 60 GHz mobile devices for gesture recognition, localization/tracking, and imaging. 2. Isn’t this the same as radar? No.. New opportunities: reusing mobile . OpenDataKit. [. Name. ]. CartONG. Introduction. Survey Manager Training - Global. 2. What. . is. MDC . (Mobile Data Collection)?. MDC . with. UNHCR. What is . M. obile . Data. . C. ollection . (MDC)?. Michael Ruffing. CS 495. Paper Info. Published in September 2010. Dartmouth College – joint effort between graduate students and professors (Mobile Sensing Group). Outline . Current Mobile Phone Sensing. Nicholas D. . Lane. Emiliano. . Miluzzo. Hong Lu. Daniel Peebles. Tanzeem. . Choudhury. - Assistant Professor. Andrew . T. . Campbell - Professor. Mobile Sensing . Group, Dartmouth . College. September 2010. , . Matu. S. 1. , . Bwire. K. 1. , . Maina. J. 1. , . Mureithi. M. 1. , . Nyambura. J. 1. , . Makau. B. 1. , . Mwai. M. 1. , . Miheso. B. 1. , . Karugu. M. 1. , . Ng’ang’a. J. 2. , . Kathure. Wi-Fi Sensing. Slide . 1. Debashis Dash, Quantenna. Nov 2019. Authors:. Introduction. What is Wi-Fi Sensing? [1, 2, 3]. Using existing standardized 802.11-based protocols to sense and track changes in the environment. Wi-Fi Sensing. Slide . 1. Debashis Dash, Quantenna. Nov 2019. Authors:. Introduction. What is Wi-Fi Sensing? [1, 2, 3]. Using existing standardized 802.11-based protocols to sense and track changes in the environment.

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