Smart City Service Acceleration on FPGAs

Youngsoo Kim; Marcus Garcia; Alan Chen; Nathan Wong; Shrikant S Jadhav; Clay S Gloster

Smart City Service Acceleration on FPGAs

Youngsoo Kim
, Marcus Garcia
, Alan Chen
, Nathan Wong
, Shrikant S Jadhav
, Clay S Gloster

Computer Systems Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Today's cyber-physical systems (CPS) for the emerging Smart cities includes hardware and software with intelligent sensing and controls. In Smart cities, the use of high definition images, videos, and context information has become a requirement for urban street data collection and processing. Field Programmable Gate Array enabled data centers and processing shows the great potential for its high computation needs. In this paper, we developed embedded controls, and FPGA design accelerating many Smart city server side programs. Those CPS futuristic applications includes illegal dumping detection, pedestrian detection and car plate recognition and performed an Urban Information Systems project for the Smart City of San Jose.

Original language	English
Title of host publication	2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)
State	Published - 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Smart City Service Acceleration on FPGAs",

abstract = "Today's cyber-physical systems (CPS) for the emerging Smart cities includes hardware and software with intelligent sensing and controls. In Smart cities, the use of high definition images, videos, and context information has become a requirement for urban street data collection and processing. Field Programmable Gate Array enabled data centers and processing shows the great potential for its high computation needs. In this paper, we developed embedded controls, and FPGA design accelerating many Smart city server side programs. Those CPS futuristic applications includes illegal dumping detection, pedestrian detection and car plate recognition and performed an Urban Information Systems project for the Smart City of San Jose.",

author = "Youngsoo Kim and Marcus Garcia and Alan Chen and Nathan Wong and Jadhav, \{Shrikant S\} and Gloster, \{Clay S\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

language = "English",

booktitle = "2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)",

}

TY - GEN

T1 - Smart City Service Acceleration on FPGAs

AU - Kim, Youngsoo

AU - Garcia, Marcus

AU - Chen, Alan

AU - Wong, Nathan

AU - Jadhav, Shrikant S

AU - Gloster, Clay S

PY - 2017

Y1 - 2017

N2 - Today's cyber-physical systems (CPS) for the emerging Smart cities includes hardware and software with intelligent sensing and controls. In Smart cities, the use of high definition images, videos, and context information has become a requirement for urban street data collection and processing. Field Programmable Gate Array enabled data centers and processing shows the great potential for its high computation needs. In this paper, we developed embedded controls, and FPGA design accelerating many Smart city server side programs. Those CPS futuristic applications includes illegal dumping detection, pedestrian detection and car plate recognition and performed an Urban Information Systems project for the Smart City of San Jose.

AB - Today's cyber-physical systems (CPS) for the emerging Smart cities includes hardware and software with intelligent sensing and controls. In Smart cities, the use of high definition images, videos, and context information has become a requirement for urban street data collection and processing. Field Programmable Gate Array enabled data centers and processing shows the great potential for its high computation needs. In this paper, we developed embedded controls, and FPGA design accelerating many Smart city server side programs. Those CPS futuristic applications includes illegal dumping detection, pedestrian detection and car plate recognition and performed an Urban Information Systems project for the Smart City of San Jose.

M3 - Conference contribution

BT - 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)

ER -

Smart City Service Acceleration on FPGAs

Abstract

UN SDGs

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