The Experts below are selected from a list of 60486 Experts worldwide ranked by ideXlab platform
Yan Gao - One of the best experts on this subject based on the ideXlab platform.
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the design and implementation of smart grid high volume Data Management Platform architecture
IEEE PES Innovative Smart Grid Technologies Conference, 2014Co-Authors: Zhihui Yang, Andy Guo, Peter Xiaopei Cheng, Qin Zhou, Yan GaoAbstract:This paper presents a new architecture of high volume Data Management Platform which could integrate the Data generated by smart grid effectively and provide the cross-department analytical applications and enterprise-wide decision-making support. The designed and developed architecture consists of five major components - unified Data model; characteristics-based Data clustering Management; multi-bus Data transfer scheme; real-time event process; and Data services. The scenario simulation results and case studies show the effectiveness of the designed architecture, and the architecture's optimized performance meets the smart grid high volume Data Management requirement.
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ISGT - The design and implementation of smart grid high volume Data Management Platform architecture
ISGT 2014, 2014Co-Authors: Zhihui Yang, Andy Guo, Peter Xiaopei Cheng, Qin Zhou, Yan GaoAbstract:This paper presents a new architecture of high volume Data Management Platform which could integrate the Data generated by smart grid effectively and provide the cross-department analytical applications and enterprise-wide decision-making support. The designed and developed architecture consists of five major components - unified Data model; characteristics-based Data clustering Management; multi-bus Data transfer scheme; real-time event process; and Data services. The scenario simulation results and case studies show the effectiveness of the designed architecture, and the architecture's optimized performance meets the smart grid high volume Data Management requirement.
Youping Cheng - One of the best experts on this subject based on the ideXlab platform.
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An Agricultural Tri-dimensional Pollution Data Management Platform Based on DNDC Model
2011Co-Authors: Lihua Jiang, Wensheng Wang, Xiaorong Yang, Nengfu Xie, Youping ChengAbstract:DNDC is a computer simulation model of carbon and nitrogen biogeochemistry in agro-ecosystems. It is used in agricultural tri-dimensional pollution control widely. Learning from abroad advanced technologies and research methods, we have developed an agricultural tri-dimensional pollution Data submission and Management Platform based on DNDC model. The Platform is very important for sharing and building our agricultural carbon and nitrogen chain Database.
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CCTA (1) - An Agricultural Tri-dimensional Pollution Data Management Platform Based on DNDC Model
Computer and Computing Technologies in Agriculture IV, 2011Co-Authors: Lihua Jiang, Wensheng Wang, Xiaorong Yang, Nengfu Xie, Youping ChengAbstract:DNDC is a computer simulation model of carbon and nitrogen biogeochemistry in agro-ecosystems. It is used in agricultural tri-dimensional pollution control widely. Learning from abroad advanced technologies and research methods, we have developed an agricultural tri-dimensional pollution Data submission and Management Platform based on DNDC model. The Platform is very important for sharing and building our agricultural carbon and nitrogen chain Database.
Zhihui Yang - One of the best experts on this subject based on the ideXlab platform.
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the design and implementation of smart grid high volume Data Management Platform architecture
IEEE PES Innovative Smart Grid Technologies Conference, 2014Co-Authors: Zhihui Yang, Andy Guo, Peter Xiaopei Cheng, Qin Zhou, Yan GaoAbstract:This paper presents a new architecture of high volume Data Management Platform which could integrate the Data generated by smart grid effectively and provide the cross-department analytical applications and enterprise-wide decision-making support. The designed and developed architecture consists of five major components - unified Data model; characteristics-based Data clustering Management; multi-bus Data transfer scheme; real-time event process; and Data services. The scenario simulation results and case studies show the effectiveness of the designed architecture, and the architecture's optimized performance meets the smart grid high volume Data Management requirement.
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ISGT - The design and implementation of smart grid high volume Data Management Platform architecture
ISGT 2014, 2014Co-Authors: Zhihui Yang, Andy Guo, Peter Xiaopei Cheng, Qin Zhou, Yan GaoAbstract:This paper presents a new architecture of high volume Data Management Platform which could integrate the Data generated by smart grid effectively and provide the cross-department analytical applications and enterprise-wide decision-making support. The designed and developed architecture consists of five major components - unified Data model; characteristics-based Data clustering Management; multi-bus Data transfer scheme; real-time event process; and Data services. The scenario simulation results and case studies show the effectiveness of the designed architecture, and the architecture's optimized performance meets the smart grid high volume Data Management requirement.
Lihua Jiang - One of the best experts on this subject based on the ideXlab platform.
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An Agricultural Tri-dimensional Pollution Data Management Platform Based on DNDC Model
2011Co-Authors: Lihua Jiang, Wensheng Wang, Xiaorong Yang, Nengfu Xie, Youping ChengAbstract:DNDC is a computer simulation model of carbon and nitrogen biogeochemistry in agro-ecosystems. It is used in agricultural tri-dimensional pollution control widely. Learning from abroad advanced technologies and research methods, we have developed an agricultural tri-dimensional pollution Data submission and Management Platform based on DNDC model. The Platform is very important for sharing and building our agricultural carbon and nitrogen chain Database.
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CCTA (1) - An Agricultural Tri-dimensional Pollution Data Management Platform Based on DNDC Model
Computer and Computing Technologies in Agriculture IV, 2011Co-Authors: Lihua Jiang, Wensheng Wang, Xiaorong Yang, Nengfu Xie, Youping ChengAbstract:DNDC is a computer simulation model of carbon and nitrogen biogeochemistry in agro-ecosystems. It is used in agricultural tri-dimensional pollution control widely. Learning from abroad advanced technologies and research methods, we have developed an agricultural tri-dimensional pollution Data submission and Management Platform based on DNDC model. The Platform is very important for sharing and building our agricultural carbon and nitrogen chain Database.
Guanjun Lian - One of the best experts on this subject based on the ideXlab platform.
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A Data Platform Based on Web Service for Wireless
2014Co-Authors: Guanjun LianAbstract:In Wireless Sensor Network (WSN) the Data and resource Management and sharing have become a key issue. Currently, Data Management Platforms for different wireless sensor network application systems in general are developed independently. Different Platforms are relatively isolated. Data access interfaces of different Platforms are incompatible, which results in Data cannot be effectively shared and used. Therefore the cost of deployment and maintenance of Data Management Platform is high. These issues limit the applications of wireless sensor networks in large scale. To solve the problems, we design and implement a Data Platform that has unified Data access interface based on Web Services.
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A Data Platform based on web service for wireless sensor network
2014 4th IEEE International Conference on Information Science and Technology, 2014Co-Authors: Guanjun LianAbstract:In Wireless Sensor Network (WSN) the Data and resource Management and sharing have become a key issue. Currently, Data Management Platforms for different wireless sensor network application systems in general are developed independently. Different Platforms are relatively isolated. Data access interfaces of different Platforms are incompatible, which results in Data cannot be effectively shared and used. Therefore the cost of deployment and maintenance of Data Management Platform is high. These issues limit the applications of wireless sensor networks in large scale. To solve the problems, we design and implement a Data Platform that has unified Data access interface based on Web Services.
