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dc.contributor.advisorHa Hoai, Phuong
dc.contributor.advisorVo, Hien Bich
dc.contributor.authorTrieu Thanh, Huy
dc.date.accessioned2017-05-10T06:55:20Z
dc.date.available2017-05-10T06:55:20Z
dc.date.issued2016-04-06
dc.description.abstractThis project is my master diploma project of the department of Computer Science at Norks Arktisk Universitet (UiT) in 2016. Every day, the satellites send to the ground stations huge amount of data for processing. Incoherent Scatter Radar (ISR) is a very interesting technology in the space science and it also sends a large amount of data in plasma line data back to the earth. Currently, the space scientists are using MATLAB and Python to process plasma line data which use the CPU to process and consume a large amount of power and time to process this data. In this master thesis, it will focus on the processing data to reduce the time and power consumption.en_US
dc.identifier.urihttps://hdl.handle.net/10037/11000
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.subject.courseIDSHO6264
dc.subjectVDP::Technology: 500::Nanotechnology: 630en_US
dc.subjectVDP::Teknologi: 500::Nanoteknologi: 630en_US
dc.titleEfficient customizable tools for big data processing. Incoherent scatter radar big data as a case studyen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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