Study of crowdsensing and its applications
In this modern era like in Singapore, almost everyone owns a smartphone. With the popularity of smartphones owned by ordinary people and rapid growth of Wi-Fi hotspots, it is possible to easily harness the power of the crowd to collect and share data about their surroundings and experiences on a mas...
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2019
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sg-ntu-dr.10356-776072023-07-07T17:37:49Z Study of crowdsensing and its applications Looi, Jun Kang Li Kwok Hung Teh Kah Chan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems In this modern era like in Singapore, almost everyone owns a smartphone. With the popularity of smartphones owned by ordinary people and rapid growth of Wi-Fi hotspots, it is possible to easily harness the power of the crowd to collect and share data about their surroundings and experiences on a massive scale. Harnessing the power of the crowd to collect data automatically and share data voluntarily are the new growing technology and this known as hybrid crowdsensing. Hybrid crowdsensing combines both opportunistic crowdsensing and participatory crowdsensing. In this project, the author is aimed to demonstrate the potential capability and the technical feasibility of the hybrid crowdsensing data-collecting process in the estimating and monitoring of passenger load onboard a campus bus. The Raspberry Pi 3 Model B+ and a WebApp have been developed to demonstrate the opportunistic crowdsensing through obtaining the data automatically as well as voluntary data from the end-user via participatory crowdsensing. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-03T06:15:02Z 2019-06-03T06:15:02Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77607 en Nanyang Technological University 45 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Looi, Jun Kang Study of crowdsensing and its applications |
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In this modern era like in Singapore, almost everyone owns a smartphone. With the popularity of smartphones owned by ordinary people and rapid growth of Wi-Fi hotspots, it is possible to easily harness the power of the crowd to collect and share data about their surroundings and experiences on a massive scale. Harnessing the power of the crowd to collect data automatically and share data voluntarily are the new growing technology and this known as hybrid crowdsensing. Hybrid crowdsensing combines both opportunistic crowdsensing and participatory crowdsensing.
In this project, the author is aimed to demonstrate the potential capability and the technical feasibility of the hybrid crowdsensing data-collecting process in the estimating and monitoring of passenger load onboard a campus bus. The Raspberry Pi 3 Model B+ and a WebApp have been developed to demonstrate the opportunistic crowdsensing through obtaining the data automatically as well as voluntary data from the end-user via participatory crowdsensing. |
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Li Kwok Hung |
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Li Kwok Hung Looi, Jun Kang |
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Final Year Project |
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Looi, Jun Kang |
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Looi, Jun Kang |
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Study of crowdsensing and its applications |
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Study of crowdsensing and its applications |
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Study of crowdsensing and its applications |
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Study of crowdsensing and its applications |
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Study of crowdsensing and its applications |
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study of crowdsensing and its applications |
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2019 |
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http://hdl.handle.net/10356/77607 |
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1772828111819243520 |