| Project/Area Number |
15K00134
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Information network
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| Research Institution | The University of Aizu |
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Principal Investigator |
Anh Pham 会津大学, コンピュータ理工学部, 教授 (80404896)
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| Co-Investigator(Kenkyū-buntansha) |
Cohen Michael 会津大学, コンピュータ理工学部, 教授 (20254063)
Truong CongThang 会津大学, コンピュータ理工学部, 上級准教授 (40622957)
Julian Villegas 会津大学, コンピュータ理工学部, 准教授 (50706281)
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| Research Collaborator |
Hoa Le Minh Northumbria University, Senior Lecturer
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | VLC / Untra-sound / Indoor Localization / Video Streaming / HTTP/2 / Internet of Things / Network Security / RFID / Localization / Quality of Service / Quality of Experience / VLC Network / audible signals / Security |
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| Outline of Final Research Achievements |
The project has two main achievements. First, it is the design and implementation of the proof of concept of the system that includes (1) VLC-based positioning system, (2) a prototype receiver for smartphone/table mounted on smart cart using a newly developed location identification (ID) exchange protocol to communicate with VLC beacon, and (3) recommendation on framework of cloud-based sale data analysis based on R supporting user shopping experience. Secondly, we study the feasibility of enabling technologies supporting the framework of smart supermarket environment, including broadband multi-user VLC data network, video streaming over Hypertext Transfer Protocol (HTTP/2) with a special attention to technique to improve the user quality of service and quality of experience, security issues of VLC networks in the context of multiple users. In addition, we also develop a new ultra-sound positing method to improve the accuracy and scalability of VLC-based indoor positioning system.
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