The smart grid utilizes the demand side management technology to motivate energy users towards cutting demand during peak power consumption periods, which greatly improves the operation efficiency of the power grid. H...The smart grid utilizes the demand side management technology to motivate energy users towards cutting demand during peak power consumption periods, which greatly improves the operation efficiency of the power grid. However, as the number of energy users participating in the smart grid continues to increase, the demand side management strategy of individual agent is greatly affected by the dynamic strategies of other agents. In addition, the existing demand side management methods, which need to obtain users’ power consumption information,seriously threaten the users’ privacy. To address the dynamic issue in the multi-microgrid demand side management model, a novel multi-agent reinforcement learning method based on centralized training and decentralized execution paradigm is presented to mitigate the damage of training performance caused by the instability of training experience. In order to protect users’ privacy, we design a neural network with fixed parameters as the encryptor to transform the users’ energy consumption information from low-dimensional to high-dimensional and theoretically prove that the proposed encryptor-based privacy preserving method will not affect the convergence property of the reinforcement learning algorithm. We verify the effectiveness of the proposed demand side management scheme with the real-world energy consumption data of Xi’an, Shaanxi, China. Simulation results show that the proposed method can effectively improve users’ satisfaction while reducing the bill payment compared with traditional reinforcement learning(RL) methods(i.e., deep Q learning(DQN), deep deterministic policy gradient(DDPG),QMIX and multi-agent deep deterministic policy gradient(MADDPG)). The results also demonstrate that the proposed privacy protection scheme can effectively protect users’ privacy while ensuring the performance of the algorithm.展开更多
In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate fol...In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.展开更多
In order to solve the problem of data island in the safety management ofoffshore oil and gas fields, take full advantage of data for subsequent analysis anddevelopment, and support production safety management of oil ...In order to solve the problem of data island in the safety management ofoffshore oil and gas fields, take full advantage of data for subsequent analysis anddevelopment, and support production safety management of oil and gas fields, the MES,which is maturely applied in manufacturing and downstream production of CNOOC(China National Offshore Oil Corporation), is introduced by the petroleum administrationat the eastern South China sea. The system adopts the real-time database and relationaldatabase to collect the scattered structured data, such as evidence information of offshoreoil and gas production facilities personnel, on-site hidden danger information andincident investigation report. Then a unified secure data center platform is established forevery operating area and production site, and the critical safety data of production sitescan be centrally managed. This system has the functions of lawful real-time supervisionof personnel qualification, online supervision and trend analysis of hidden dangers, andcentralized management and sharing of incident investigation report. By applying theMES system in security management, the process of safety service becomes standardizedand modularized, the management process becomes normalized, and the efficiency andeffect of overall management is improved.展开更多
It is very important for organization to deal with and balance the challenge of environmental complexity and inner resources scarcity. This study considers total quality management (TQM) as a factor linking internal a...It is very important for organization to deal with and balance the challenge of environmental complexity and inner resources scarcity. This study considers total quality management (TQM) as a factor linking internal and external of organization and executive ability as linkage to promote and coordinate internal-external elements and then organization obtains its sustainable competitive advantage. The research surveyed effective samples 252 and used Structural Equation Model (SEM) and discriminated analysis for analysis and testing. The results indicate that TQM positively affects executive ability and firm sustainable competitive advantage. Executive ability affects firm sustainable competitive advantage and has the mediating effect between TQM and firm sustainable competitive advantage. Managerial practice implications, limitations, and future research directions have been discussed.展开更多
The leading role of undertaking most part of business activities bytapping fund through public listing for Guangdong Enterprises(Holdings)Limited.(here-in-after called GDE)is Played by one of its affiliate,GuangdongIn...The leading role of undertaking most part of business activities bytapping fund through public listing for Guangdong Enterprises(Holdings)Limited.(here-in-after called GDE)is Played by one of its affiliate,GuangdongInvestment Limited (Here-in-after called GDI).In ten years of activeties,GDIPolicy makers deeply felt that their supreme responsibility was to create thebiggest wealth at present and in the future for the property owner,to achievethe biggest increase of property value,and in the meantime to contribute a bitfor the continuous progress of society.展开更多
Network management scheme must consider security challenges for the Mobile Agent paradigm to be accepted in the Internet computing world. Techniques to provide security solutions have been proposed and some have achie...Network management scheme must consider security challenges for the Mobile Agent paradigm to be accepted in the Internet computing world. Techniques to provide security solutions have been proposed and some have achieved good results. For example, it is possible to launch a code with a guarantee that it cannot attack the hosting sites. The main problem remaining, however, is protecting the mobile code against malicious service providers, the host problem. This paper proposed a Mobile Agent management scheme in a hierarchical level that provides to user a reliable and flexible global access to internet/network information services. We further described a protection mechanism to Mobile Agents against malicious hosts. As an effort to address host problems we first identify the kinds of attack that may be performed by malicious hosts, and propose a mechanism to prevent these attacks. At each agent host we introduce a trusted third party entity on each server called Secure Service Station (SSS) to carry out security actions.展开更多
基金supported in part by the National Science Foundation of China (61973247, 61673315, 62173268)the Key Research and Development Program of Shaanxi (2022GY-033)+2 种基金the Nationa Postdoctoral Innovative Talents Support Program of China (BX20200272)the Key Program of the National Natural Science Foundation of China (61833015)the Fundamental Research Funds for the Central Universities (xzy022021050)。
文摘The smart grid utilizes the demand side management technology to motivate energy users towards cutting demand during peak power consumption periods, which greatly improves the operation efficiency of the power grid. However, as the number of energy users participating in the smart grid continues to increase, the demand side management strategy of individual agent is greatly affected by the dynamic strategies of other agents. In addition, the existing demand side management methods, which need to obtain users’ power consumption information,seriously threaten the users’ privacy. To address the dynamic issue in the multi-microgrid demand side management model, a novel multi-agent reinforcement learning method based on centralized training and decentralized execution paradigm is presented to mitigate the damage of training performance caused by the instability of training experience. In order to protect users’ privacy, we design a neural network with fixed parameters as the encryptor to transform the users’ energy consumption information from low-dimensional to high-dimensional and theoretically prove that the proposed encryptor-based privacy preserving method will not affect the convergence property of the reinforcement learning algorithm. We verify the effectiveness of the proposed demand side management scheme with the real-world energy consumption data of Xi’an, Shaanxi, China. Simulation results show that the proposed method can effectively improve users’ satisfaction while reducing the bill payment compared with traditional reinforcement learning(RL) methods(i.e., deep Q learning(DQN), deep deterministic policy gradient(DDPG),QMIX and multi-agent deep deterministic policy gradient(MADDPG)). The results also demonstrate that the proposed privacy protection scheme can effectively protect users’ privacy while ensuring the performance of the algorithm.
文摘In order to solve information island problem of offshore oil and gas field production-related information system,including repetitive reporting and input of data,data isolation of central control system,inadequate follow-up analysis and development to support oil and gas field production management,and so on.Therefore,the introduction of MES(Manufacturing Execution System)production execution system in the manufacturing industry and downstream production of offshore oil has become an inevitable choice.This system utilizes the real-time database combined with relational database to collect the scattered structured data,such as the production process real-time data,production management documents and statistical tables of offshore oil and gas production facilities.It establishes a unified data center platform for each operation area and production site,so as to centralize the related production management data at production sites.This system realizes many functions,including the production management support like production report generation as well as presentation and POB,equipment management support like PM optimization,remote configuration and monitoring of production operation,status trend analysis,and production event prediction.The implementation of MES system in offshore oil and gas field production management perfects the overall information system of China National Offshore Oil Corporation more and gradually enhances its comprehensive benefits.
文摘In order to solve the problem of data island in the safety management ofoffshore oil and gas fields, take full advantage of data for subsequent analysis anddevelopment, and support production safety management of oil and gas fields, the MES,which is maturely applied in manufacturing and downstream production of CNOOC(China National Offshore Oil Corporation), is introduced by the petroleum administrationat the eastern South China sea. The system adopts the real-time database and relationaldatabase to collect the scattered structured data, such as evidence information of offshoreoil and gas production facilities personnel, on-site hidden danger information andincident investigation report. Then a unified secure data center platform is established forevery operating area and production site, and the critical safety data of production sitescan be centrally managed. This system has the functions of lawful real-time supervisionof personnel qualification, online supervision and trend analysis of hidden dangers, andcentralized management and sharing of incident investigation report. By applying theMES system in security management, the process of safety service becomes standardizedand modularized, the management process becomes normalized, and the efficiency andeffect of overall management is improved.
文摘It is very important for organization to deal with and balance the challenge of environmental complexity and inner resources scarcity. This study considers total quality management (TQM) as a factor linking internal and external of organization and executive ability as linkage to promote and coordinate internal-external elements and then organization obtains its sustainable competitive advantage. The research surveyed effective samples 252 and used Structural Equation Model (SEM) and discriminated analysis for analysis and testing. The results indicate that TQM positively affects executive ability and firm sustainable competitive advantage. Executive ability affects firm sustainable competitive advantage and has the mediating effect between TQM and firm sustainable competitive advantage. Managerial practice implications, limitations, and future research directions have been discussed.
文摘The leading role of undertaking most part of business activities bytapping fund through public listing for Guangdong Enterprises(Holdings)Limited.(here-in-after called GDE)is Played by one of its affiliate,GuangdongInvestment Limited (Here-in-after called GDI).In ten years of activeties,GDIPolicy makers deeply felt that their supreme responsibility was to create thebiggest wealth at present and in the future for the property owner,to achievethe biggest increase of property value,and in the meantime to contribute a bitfor the continuous progress of society.
文摘Network management scheme must consider security challenges for the Mobile Agent paradigm to be accepted in the Internet computing world. Techniques to provide security solutions have been proposed and some have achieved good results. For example, it is possible to launch a code with a guarantee that it cannot attack the hosting sites. The main problem remaining, however, is protecting the mobile code against malicious service providers, the host problem. This paper proposed a Mobile Agent management scheme in a hierarchical level that provides to user a reliable and flexible global access to internet/network information services. We further described a protection mechanism to Mobile Agents against malicious hosts. As an effort to address host problems we first identify the kinds of attack that may be performed by malicious hosts, and propose a mechanism to prevent these attacks. At each agent host we introduce a trusted third party entity on each server called Secure Service Station (SSS) to carry out security actions.
