For building Global Energy Interconnection(GEI), it is necessary to implement new breakthroughs on largepower system simulation. Key routes for implementing full electromagnetic transient simulation of large-power sys...For building Global Energy Interconnection(GEI), it is necessary to implement new breakthroughs on largepower system simulation. Key routes for implementing full electromagnetic transient simulation of large-power systems are described in this paper, and a top framework is designed. A combination of the new large time step algorithm and the traditional small-time step algorithm is proposed where both parts A and B are calculated independently. The method for integrating the Norton equivalence of the power electronic system to the entire power grid is proposed. A two-level gird division structure is proposed, which executes a multi-rate parallel calculation among subsystems and element parallel calculation in each subsystem. The initialization method of combining load flow derivation and automatic trial-and-error launching is introduced. The feasibility of the method is demonstrated through a practical power grid example, which lays a foundation for further research.展开更多
At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva fr...At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva from January 27–29,2016.The UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 fea-展开更多
Currently,most enterprises have adopted information software and digital equipment and gradually established digital factories.They conduct enterprise data collection and decision-support activities,generating large v...Currently,most enterprises have adopted information software and digital equipment and gradually established digital factories.They conduct enterprise data collection and decision-support activities,generating large volumes of multi-source heterogeneous data across all stages of the product life cycle.However,current data utilization methods remain simplistic,and the goal of leveraging multi-source heterogeneous data to drive manufacturing value has yet to be fully realized.To address this issue,this study first defines the concept and characteristics of multi-source heterogeneous data in intelligent manufacturing,based on an analysis of its relationship with industrial big data.Then,integrating principles from data science,a technological framework for multi-source heterogeneous data is proposed.The key technologies involved in each stage of data processing are investigated,and typical applications of such data in intelligent manufacturing are discussed.Finally,this paper analyzes the challenges and future development directions of multi-source heterogeneous data processing in intelligent manufacturing.The goal is to provide theoretical and technical support for integrating intelligent manufacturing with data science.展开更多
Ⅰ.INTRODUCTION Artificial intelligence(AI),including generative AI,has become a global priority for policymakers as rapid technological advancements raise questions of accountability,fairness,safety,and security.Its ...Ⅰ.INTRODUCTION Artificial intelligence(AI),including generative AI,has become a global priority for policymakers as rapid technological advancements raise questions of accountability,fairness,safety,and security.Its dual-use potential underscores why AI requires a coherent international legal framework:technologies intended for civilian applications can be repurposed for military or national security activities.This nature of AI has sparked heightened calls for international regulation,as unregulated AI may pose international risks,such as privacy violations,ethical dilemmas,and even threats to international peace and security.展开更多
Agriculture and biological engineering are the foundation of agricultural modernization,and related countries have also issued relevant policies to guide the development of agriculture and biotechnology.Agricultural a...Agriculture and biological engineering are the foundation of agricultural modernization,and related countries have also issued relevant policies to guide the development of agriculture and biotechnology.Agricultural and biological engineering experts are the intellectual resources in the field.At present,there is less research on the management and maintenance of agricultural and biological engineering experts,and there is a lack of software systems in this area.In order to realize the management and maintenance of agricultural and biological engineering expert information,a service platform for the international agricultural and biological engineering expert system based on the B/S framework has been developed.The background of the system used C#as the development language,and the foreground used JavaScript technology and Bootstrap.The software adopted ASP.NET MVC as the web development framework and used the Entity Framework to operate the SQL Server background database.The system has the function of searching and querying agricultural and biological engineering expert information according to keywords,and implements the functions of adding,deleting,and modifying data records,and the function of generating spreadsheets and importing spreadsheet data.The development of this system provides effective management tools for the maintenance and construction of agricultural and biological engineering expert databases and lays a good foundation for the construction of agricultural and biological engineering think tanks.展开更多
基金supported by key project of smart grid technology and equipment of national key research and development plan of China (2016YFB0900601)
文摘For building Global Energy Interconnection(GEI), it is necessary to implement new breakthroughs on largepower system simulation. Key routes for implementing full electromagnetic transient simulation of large-power systems are described in this paper, and a top framework is designed. A combination of the new large time step algorithm and the traditional small-time step algorithm is proposed where both parts A and B are calculated independently. The method for integrating the Norton equivalence of the power electronic system to the entire power grid is proposed. A two-level gird division structure is proposed, which executes a multi-rate parallel calculation among subsystems and element parallel calculation in each subsystem. The initialization method of combining load flow derivation and automatic trial-and-error launching is introduced. The feasibility of the method is demonstrated through a practical power grid example, which lays a foundation for further research.
文摘At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva from January 27–29,2016.The UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 fea-
基金funded by the National Natural Science Foundation of China,grant number 62172033.
文摘Currently,most enterprises have adopted information software and digital equipment and gradually established digital factories.They conduct enterprise data collection and decision-support activities,generating large volumes of multi-source heterogeneous data across all stages of the product life cycle.However,current data utilization methods remain simplistic,and the goal of leveraging multi-source heterogeneous data to drive manufacturing value has yet to be fully realized.To address this issue,this study first defines the concept and characteristics of multi-source heterogeneous data in intelligent manufacturing,based on an analysis of its relationship with industrial big data.Then,integrating principles from data science,a technological framework for multi-source heterogeneous data is proposed.The key technologies involved in each stage of data processing are investigated,and typical applications of such data in intelligent manufacturing are discussed.Finally,this paper analyzes the challenges and future development directions of multi-source heterogeneous data processing in intelligent manufacturing.The goal is to provide theoretical and technical support for integrating intelligent manufacturing with data science.
文摘Ⅰ.INTRODUCTION Artificial intelligence(AI),including generative AI,has become a global priority for policymakers as rapid technological advancements raise questions of accountability,fairness,safety,and security.Its dual-use potential underscores why AI requires a coherent international legal framework:technologies intended for civilian applications can be repurposed for military or national security activities.This nature of AI has sparked heightened calls for international regulation,as unregulated AI may pose international risks,such as privacy violations,ethical dilemmas,and even threats to international peace and security.
基金This work was financially supported by the China Science and Technology Association Innovation-Driven Engineering Demonstration Project(Grant No.ZLGC201901-12).
文摘Agriculture and biological engineering are the foundation of agricultural modernization,and related countries have also issued relevant policies to guide the development of agriculture and biotechnology.Agricultural and biological engineering experts are the intellectual resources in the field.At present,there is less research on the management and maintenance of agricultural and biological engineering experts,and there is a lack of software systems in this area.In order to realize the management and maintenance of agricultural and biological engineering expert information,a service platform for the international agricultural and biological engineering expert system based on the B/S framework has been developed.The background of the system used C#as the development language,and the foreground used JavaScript technology and Bootstrap.The software adopted ASP.NET MVC as the web development framework and used the Entity Framework to operate the SQL Server background database.The system has the function of searching and querying agricultural and biological engineering expert information according to keywords,and implements the functions of adding,deleting,and modifying data records,and the function of generating spreadsheets and importing spreadsheet data.The development of this system provides effective management tools for the maintenance and construction of agricultural and biological engineering expert databases and lays a good foundation for the construction of agricultural and biological engineering think tanks.
