Equipment maintenance management integrated information system is an important constituent part of enterprise IMS (Intelligent Manufacture System). The system should make the best of all kinds of information sources a...Equipment maintenance management integrated information system is an important constituent part of enterprise IMS (Intelligent Manufacture System). The system should make the best of all kinds of information sources around the enterprise, and meet the demand for agile production. This paper presents an implementation scheme of Integrated Equipment Maintenance Management Information System Based on Internet/Intranet and gives component division scheme of each tier. This scheme adopts a three-tiers mode of B/S (Browser/Server) and software programming module based on software reusing technology. This makes the system integrated and open, makes maintenance and updating convenient, and largely increases software safety and reusability.展开更多
Smart farming has become a strategic approach of sustainable agriculture management and monitoring with the infrastructure to exploit modern technologies,including big data,the cloud,and the Internet of Things(IoT).Ma...Smart farming has become a strategic approach of sustainable agriculture management and monitoring with the infrastructure to exploit modern technologies,including big data,the cloud,and the Internet of Things(IoT).Many researchers try to integrate IoT-based smart farming on cloud platforms effectively.They define various frameworks on smart farming and monitoring system and still lacks to define effective data management schemes.Since IoT-cloud systems involve massive structured and unstructured data,data optimization comes into the picture.Hence,this research designs an Information-Centric IoT-based Smart Farming with Dynamic Data Optimization(ICISF-DDO),which enhances the performance of the smart farming infrastructure with minimal energy consumption and improved lifetime.Here,a conceptual framework of the proposed scheme and statistical design model has beenwell defined.The information storage and management with DDO has been expanded individually to show the effective use of membership parameters in data optimization.The simulation outcomes state that the proposed ICISF-DDO can surpass existing smart farming systems with a data optimization ratio of 97.71%,reliability ratio of 98.63%,a coverage ratio of 99.67%,least sensor error rate of 8.96%,and efficient energy consumption ratio of 4.84%.展开更多
Metadata mechanism, especially metadata management pattern, is a hotspot in the field of internet information sharing. This paper analyzes the characters and deficiency of current metadata management patterns. Subsequ...Metadata mechanism, especially metadata management pattern, is a hotspot in the field of internet information sharing. This paper analyzes the characters and deficiency of current metadata management patterns. Subsequently, a new metadata management pattern is put forward combined with its application in geograpic information sharing. Aiming at the demands of future Internet information sharing, this pattern is a networkoriented, open and extensible metadata management system. Meanwhile, this management pattern is also a management model of trinity of data users, metadata and datasets. Finally, this paper analyzes the architecture and function flow of this network-oriented integrated metadata management pattern.展开更多
文摘Equipment maintenance management integrated information system is an important constituent part of enterprise IMS (Intelligent Manufacture System). The system should make the best of all kinds of information sources around the enterprise, and meet the demand for agile production. This paper presents an implementation scheme of Integrated Equipment Maintenance Management Information System Based on Internet/Intranet and gives component division scheme of each tier. This scheme adopts a three-tiers mode of B/S (Browser/Server) and software programming module based on software reusing technology. This makes the system integrated and open, makes maintenance and updating convenient, and largely increases software safety and reusability.
文摘Smart farming has become a strategic approach of sustainable agriculture management and monitoring with the infrastructure to exploit modern technologies,including big data,the cloud,and the Internet of Things(IoT).Many researchers try to integrate IoT-based smart farming on cloud platforms effectively.They define various frameworks on smart farming and monitoring system and still lacks to define effective data management schemes.Since IoT-cloud systems involve massive structured and unstructured data,data optimization comes into the picture.Hence,this research designs an Information-Centric IoT-based Smart Farming with Dynamic Data Optimization(ICISF-DDO),which enhances the performance of the smart farming infrastructure with minimal energy consumption and improved lifetime.Here,a conceptual framework of the proposed scheme and statistical design model has beenwell defined.The information storage and management with DDO has been expanded individually to show the effective use of membership parameters in data optimization.The simulation outcomes state that the proposed ICISF-DDO can surpass existing smart farming systems with a data optimization ratio of 97.71%,reliability ratio of 98.63%,a coverage ratio of 99.67%,least sensor error rate of 8.96%,and efficient energy consumption ratio of 4.84%.
文摘Metadata mechanism, especially metadata management pattern, is a hotspot in the field of internet information sharing. This paper analyzes the characters and deficiency of current metadata management patterns. Subsequently, a new metadata management pattern is put forward combined with its application in geograpic information sharing. Aiming at the demands of future Internet information sharing, this pattern is a networkoriented, open and extensible metadata management system. Meanwhile, this management pattern is also a management model of trinity of data users, metadata and datasets. Finally, this paper analyzes the architecture and function flow of this network-oriented integrated metadata management pattern.
