PPT-Development of GEMS Cloud Data Processing Algorithm

Author : alexa-scheidler | Published Date : 2016-04-26

YongSang Choi 1 BoRam Kim 1 Heeje Cho 2 Myong Hwan Ahn 1 Former COMS PI and Jhoon Kim 3 GEMS PI 1 Ewha Womans University Seoul 2 Seoul National University

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Development of GEMS Cloud Data Processing Algorithm: Transcript


YongSang Choi 1 BoRam Kim 1 Heeje Cho 2 Myong Hwan Ahn 1 Former COMS PI and Jhoon Kim 3 GEMS PI 1 Ewha Womans University Seoul 2 Seoul National University Seoul. by. . B.K.Sujatha. M.S. Ramaiah Institute of Technology, Bangalore. Guide: . . Co-Guide:. Prof. Dr. P.S. . Satyanarayana. . Prof.Dr. . . K. N. . Haribhat. The Head, Dept of Electronics &. Dr. . Jeyakesavan Veerasamy. University of Texas at Dallas, USA. jeyv@utdallas.edu. Agenda. Software: Then & Now . SW Efficiency – does it matter?. Latest buzz. Trends in CS education. Open Q&A. Introduction. 5/23/13. 2. This is a five-year program of research to continue and enhance the Smithsonian Astrophysical Observatory (SAO) collaboration with Korean scientists on the Geostationary Environment Monitoring Spectrometer (GEMS) Mission.. Jhoon Kim, . Mijin Kim, Ukkyo Jeong. GEMS Team. Yonsei University. GEMS Science Team. Myung Hwan Ahn. Yong Sang Choi. Myeongjae Jeong. Jae Hwan Kim. Young Joon Kim. Hanlim Lee . Kwang Mog Lee. Rokjin Park . 2009-10-22. Jaeseok. . Myung. Summary. TA. DB : project 3, midterm(24. 명 응시. ). WEC : report, project (android), classroom, . 수업. (. 정재목 이사. ). Research. DESWeb. 2010. 1. st. International Workshop on Data Engineering meets the Semantic Web in conjunction with ICDE 2010. Cristiano Lopes, ESA. CEOS WGISS-40. 30/09/2015. Overview – Cloud Computing Uses. Cloud . computing and . Earth . Observation:. Processing,. Archiving,. Distribution,. Discovery…. Cloud computing uses in ESA EO Ground-Segment. Presentation to the Manchester Data Science club. 14 July 2016. Peter Smyth. UK Data Service. The challenges of building and populating a secure but accessible big data environment for researchers in the Social Sciences and related disciplines.. GOES-R Cloud Phase Integration. The initial GOES-R cloud phase algorithm, . modified to run on VIIRS . data, was provided to the AIT. *** Certain tests and thresholds have not yet been specifically tuned to VIIRS. Welcome!. Instructor: . Ruoming. Jin. Office: 264 MCS Building. Email: . jin AT cs.kent.edu. Office hour: . Mondays (. 4:30PM to 5:30PM) or by appointment. TA: . Xinyu. Chang. Email: . xchang. AT . Dave Hickin. Diamond Light Source. EPICS . V4 Working Group . Meeting. SLAC. . Source . 02/10/2013 . Objectives. Lossless high-performance transfer of detector data and camera images including metadata.. Romit Girdhar. Software Engineer. P4016. Wee Hyong Tok. Program Manager. CLOUD. MOBILE. INTERNET CONNECTED. DIGITAL. ANALOG. VALUE. Complex implementations. Spreadmarts. Siloed data. Transactional systems. Hosseininaveh. Table of Contents . Introduction . Typical and advance Point cloud Processing operations. PCL programming. How to install PCL and how to use the codes. Data Storage Formats . Segmentation. Mohammadhossein . Behgam. Agenda. Need for parallelism. Challenges. Image processing algorithms. Data handling & Load Balancing. Communication cost & performance. What is the problem?. Image Processing applications can be very computationally demanding due to:. . Moving . Toward 3D Geologic Data. 13 April . 2020. Alaska Division of Geological & Geophysical Surveys. . 3354 College Rd, Fairbanks AK 99709. Mike Hendricks, Jen Athey, Trish Ekberg, Chris Wyatt, et al.

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