针对美国海事信息共享环境(maritime information sharing environment,MISE)面临的主要安全问题,对其安全架构进行研究。分析MISE安全需求,探讨美国海事信息共享环境安全架构的组成,介绍MISE运用安全属性、安全断言标记语言和可信结构...针对美国海事信息共享环境(maritime information sharing environment,MISE)面临的主要安全问题,对其安全架构进行研究。分析MISE安全需求,探讨美国海事信息共享环境安全架构的组成,介绍MISE运用安全属性、安全断言标记语言和可信结构文档等技术的方法和原理。结果表明:该架构能有效解决海事信息跨组织跨机构共享的问题,对于实现跨领域信息的安全交换具有重要的借鉴价值。展开更多
More effective environmental pollution control and management are needed due to the increasing environ-mental impacts from a range of human activities and the growing public demands for a better living environment. Ur...More effective environmental pollution control and management are needed due to the increasing environ-mental impacts from a range of human activities and the growing public demands for a better living environment. Urban air pollution is a serious environmental issue that poses adverse impacts on the health of people and the environment in most metropolitan areas. In this paper,we propose a geoinformatics augmented framework of environmental modelling and information sharing for supporting effective urban air pollution control and management. This framework is out-lined in terms of its key components and processes including: 1) an integrated,adaptive network of sensors for envi-ronmental monitoring; 2) a set of distributed,interoperable databases for data management; 3) a set of intelligent,robust algorithms and models for environmental modelling; 4) a set of flexible,efficient user interfaces for data access and in-formation sharing; and 5) a reliable,high capacity,high performance computing and communication infrastructure for integrating and supporting other framework components and processes.展开更多
Not So Cooperative Caching(NSCC) considers a network comprised of selfish nodes; each is with caching capability and an objective of reducing its own access cost by fetching data from its local cache or from neighbori...Not So Cooperative Caching(NSCC) considers a network comprised of selfish nodes; each is with caching capability and an objective of reducing its own access cost by fetching data from its local cache or from neighboring caches. These nodes would cooperate in caching and share cached content if and only if they each benefit. The challenges are to determine what objects to cache at each node and to implement the system in the context of Information Centric Networking(ICN). This work includes both a solution for the NSCC problem and a design and implementation of an NSCC system in Named Data Networking(NDN), a large effort that exemplifies ICN. Our design applies NDN synchronization protocol to facilitate the information exchange among nodes, adopts group key encryption to control data access within the NSCC group, and offers an error checker to detect error events in the system. Our approach is validated by deploying the system we developed on Planet Lab.展开更多
Based on the advantages of the openness,flexibility,high-efficiency,intelligence,and safety of grid,this paper focuses on the methods of marine environmental information sharing and integration in grid environment.Acc...Based on the advantages of the openness,flexibility,high-efficiency,intelligence,and safety of grid,this paper focuses on the methods of marine environmental information sharing and integration in grid environment.According to the characteristics of marine information,which includes multisource,dynamic,and high-dimensional,this paper provides a framework and the technical solution for a multisource marine environmental information grid platform.As an experiment,the prototype takes the region of South China Sea as its study area and chooses three kinds of marine environmental information as the representative types for the marine information.The realization of the prototype of multisource marine environmental information grid platform shows the feasibility and practicality of the framework and the technical solution.展开更多
Information sharing is a critical task for group-living animals. The pattern of sharing can be modeled as a network whose structure can affect the decision-making performance of individual members as well as that of t...Information sharing is a critical task for group-living animals. The pattern of sharing can be modeled as a network whose structure can affect the decision-making performance of individual members as well as that of the group as a whole. A fully connected network, in which each member can directly transfer information to all other members, ensures rapid sharing of important information, such as a promising foraging location. However, it can also impose costs by amplifying the spread of inaccur- ate information （if, for example the foraging location is actually not profitable）. Thus, an optimal net- work structure should balance effective sharing of current knowledge with opportunities to discover new information. We used a computer simulation to measure how well groups characterized by dif- ferent network structures （fully connected, small world, lattice, and random） find and exploit resource peaks in a variable environment. We found that a fully connected network outperformed other struc- tures when resource quality was predictable. When resource quality showed random variation, however, the small world network was better than the fully connected one at avoiding extremely poor outcomes. These results suggest that animal groups may benefit by adjusting their informa- tion-sharing network structures depending on the noisiness of their environment.展开更多
文摘针对美国海事信息共享环境(maritime information sharing environment,MISE)面临的主要安全问题,对其安全架构进行研究。分析MISE安全需求,探讨美国海事信息共享环境安全架构的组成,介绍MISE运用安全属性、安全断言标记语言和可信结构文档等技术的方法和原理。结果表明:该架构能有效解决海事信息跨组织跨机构共享的问题,对于实现跨领域信息的安全交换具有重要的借鉴价值。
文摘More effective environmental pollution control and management are needed due to the increasing environ-mental impacts from a range of human activities and the growing public demands for a better living environment. Urban air pollution is a serious environmental issue that poses adverse impacts on the health of people and the environment in most metropolitan areas. In this paper,we propose a geoinformatics augmented framework of environmental modelling and information sharing for supporting effective urban air pollution control and management. This framework is out-lined in terms of its key components and processes including: 1) an integrated,adaptive network of sensors for envi-ronmental monitoring; 2) a set of distributed,interoperable databases for data management; 3) a set of intelligent,robust algorithms and models for environmental modelling; 4) a set of flexible,efficient user interfaces for data access and in-formation sharing; and 5) a reliable,high capacity,high performance computing and communication infrastructure for integrating and supporting other framework components and processes.
基金sponsored by the National Grand Fundamental Research 973 program of China under Grant No.2009CB320505the National Nature Science Foundation of China under Grant No. 60973123+1 种基金the Technology Support Program (Industry) of Jiangsu under Grant No.BE2011173Prospective Research Project on Future Networks of Jiangsu Future Networks Innovation Institute under Grant No.BY2013095-5-03
文摘Not So Cooperative Caching(NSCC) considers a network comprised of selfish nodes; each is with caching capability and an objective of reducing its own access cost by fetching data from its local cache or from neighboring caches. These nodes would cooperate in caching and share cached content if and only if they each benefit. The challenges are to determine what objects to cache at each node and to implement the system in the context of Information Centric Networking(ICN). This work includes both a solution for the NSCC problem and a design and implementation of an NSCC system in Named Data Networking(NDN), a large effort that exemplifies ICN. Our design applies NDN synchronization protocol to facilitate the information exchange among nodes, adopts group key encryption to control data access within the NSCC group, and offers an error checker to detect error events in the system. Our approach is validated by deploying the system we developed on Planet Lab.
基金Supported by the National 863 Program of China (No.2009AA12Z148,No.2007AA092202)the Knowledge Innovation Project of Chinese Academy of Sciences (No.KZCX1-YW-12-04)
文摘Based on the advantages of the openness,flexibility,high-efficiency,intelligence,and safety of grid,this paper focuses on the methods of marine environmental information sharing and integration in grid environment.According to the characteristics of marine information,which includes multisource,dynamic,and high-dimensional,this paper provides a framework and the technical solution for a multisource marine environmental information grid platform.As an experiment,the prototype takes the region of South China Sea as its study area and chooses three kinds of marine environmental information as the representative types for the marine information.The realization of the prototype of multisource marine environmental information grid platform shows the feasibility and practicality of the framework and the technical solution.
文摘Information sharing is a critical task for group-living animals. The pattern of sharing can be modeled as a network whose structure can affect the decision-making performance of individual members as well as that of the group as a whole. A fully connected network, in which each member can directly transfer information to all other members, ensures rapid sharing of important information, such as a promising foraging location. However, it can also impose costs by amplifying the spread of inaccur- ate information （if, for example the foraging location is actually not profitable）. Thus, an optimal net- work structure should balance effective sharing of current knowledge with opportunities to discover new information. We used a computer simulation to measure how well groups characterized by dif- ferent network structures （fully connected, small world, lattice, and random） find and exploit resource peaks in a variable environment. We found that a fully connected network outperformed other struc- tures when resource quality was predictable. When resource quality showed random variation, however, the small world network was better than the fully connected one at avoiding extremely poor outcomes. These results suggest that animal groups may benefit by adjusting their informa- tion-sharing network structures depending on the noisiness of their environment.
