Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTan, Deon Jun Wei
dc.description.abstractSince year 2000, smartphones are readily available for people worldwide to use. Inside that device, it embedded a technology that improved people navigation from point A to B. It is the Global Navigation Satellite Systems (GNSS). In this project, a mobile application based on Android operating system was used to measure the performance metric of that system under urban areas. During this day and age, more people are using this device to navigate in city area like Singapore. In addition, this project was carried over by another student. Hence the mobile application on Android was carried over. The application would run with a lab device provided with have the necessary satellite technology to proceed with the measurement. In conclusion, this report will show an in-depth analysis of the application measurement metric using on-board sensors in the android device.en_US
dc.format.extent31 p.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleMobile crowd sensing and machine learning (Part V)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLuo Junen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
item.fulltextWith Fulltext-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
  Restricted Access
1.73 MBAdobe PDFView/Open

Page view(s) 10

Updated on Dec 2, 2020

Download(s) 50

Updated on Dec 2, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.