Environment and development are important issues of common concern to societies of the contemporary world. They have a direct bearing on the destiny of mankind, as well as the future of the world. Their influence exte...Environment and development are important issues of common concern to societies of the contemporary world. They have a direct bearing on the destiny of mankind, as well as the future of the world. Their influence extends to every country, every people and every individual in this world. Forests are the key and bond to carry out the integration of environment and development. It has become a consensus in international society. Forestry shoulders two missions: optimization of the environment and promotion展开更多
French insurance is part of a public-private partnership with the French State to compensate flood-related damages, and there is growing concern among insurers about damaging climatic events. To promote preventive act...French insurance is part of a public-private partnership with the French State to compensate flood-related damages, and there is growing concern among insurers about damaging climatic events. To promote preventive actions as well as to take them into account in flood risk assessment, insurers have recently expressed the need to develop a rating system of preventive actions. This study identified Action Programs for Flood Prevention (Programme d’Action pour la Prévention des Inondations—PAPI) as the key French public policy instrument: they provide an overview of the diversity of actions that are conducted locally at the relevant risk basin scale. A database of all intended actions in the 145 launched PAPIs was constructed and the actions were coded (88 codes). The analysis consisted of two steps: (1) We conducted an expert valuation using the Analytic Network Process and the Analytic Hierarchy Process, aiming at creating an experimental national rating system. The results show the importance of implementing an integrated strategy that particularly emphasizes land use planning and urban planning. This appears even sounder as individual actions show relatively limited effectiveness. (2) The ratings of actions were applied to each PAPI according to their implemented actions. The resulting scores for individual PAPIs, as local risk coping capacity indicators, show great variance ranging from 8 to 324 points. This confirms the need to take prevention into account in flood risk assessment.展开更多
The residential energy scheduling of solar energy is an important research area of smart grid. On the demand side, factors such as household loads, storage batteries, the outside public utility grid and renewable ener...The residential energy scheduling of solar energy is an important research area of smart grid. On the demand side, factors such as household loads, storage batteries, the outside public utility grid and renewable energy resources, are combined together as a nonlinear, time-varying, indefinite and complex system, which is difficult to manage or optimize. Many nations have already applied the residential real-time pricing to balance the burden on their grid. In order to enhance electricity efficiency of the residential micro grid, this paper presents an action dependent heuristic dynamic programming(ADHDP) method to solve the residential energy scheduling problem. The highlights of this paper are listed below. First,the weather-type classification is adopted to establish three types of programming models based on the features of the solar energy. In addition, the priorities of different energy resources are set to reduce the loss of electrical energy transmissions.Second, three ADHDP-based neural networks, which can update themselves during applications, are designed to manage the flows of electricity. Third, simulation results show that the proposed scheduling method has effectively reduced the total electricity cost and improved load balancing process. The comparison with the particle swarm optimization algorithm further proves that the present method has a promising effect on energy management to save cost.展开更多
触发执行编程(Trigger-Action Programming,TAP)为用户联动物联网(Internet of Things,IoT)设备提供了便捷的编程范式。利用机器学习对用户已编辑的TAP规则进行分析,实现TAP规则推荐和生成等功能可以提升用户体验。但TAP规则可能包含个...触发执行编程(Trigger-Action Programming,TAP)为用户联动物联网(Internet of Things,IoT)设备提供了便捷的编程范式。利用机器学习对用户已编辑的TAP规则进行分析,实现TAP规则推荐和生成等功能可以提升用户体验。但TAP规则可能包含个人隐私信息,用户对上传和分享TAP信息存在顾虑。文章提出了基于联邦学习和区块链技术的TAP规则处理系统,用户可在本地进行TAP模型训练,无需上传隐私数据。为解决集中式服务器单点故障和防范恶意模型参数上传的问题,文章利用区块链技术改进集中式TAP联邦学习架构。用户将本地模型更新的累积梯度传输给区块链中的矿工,进行异常识别和交叉验证。矿工委员会整合正常用户提供的累积梯度,得到的全局模型作为一个新区块的数据,链接到区块链上,供用户下载使用。文章采用轻量级无监督的非负矩阵分解方法验证了提出的基于联邦学习和区块链的分布式学习架构的有效性。实验证明该联邦学习架构能有效保护TAP数据中的隐私,并且区块链中的矿工能够很好地识别恶意模型参数,确保了模型的稳定性。展开更多
文摘Environment and development are important issues of common concern to societies of the contemporary world. They have a direct bearing on the destiny of mankind, as well as the future of the world. Their influence extends to every country, every people and every individual in this world. Forests are the key and bond to carry out the integration of environment and development. It has become a consensus in international society. Forestry shoulders two missions: optimization of the environment and promotion
文摘French insurance is part of a public-private partnership with the French State to compensate flood-related damages, and there is growing concern among insurers about damaging climatic events. To promote preventive actions as well as to take them into account in flood risk assessment, insurers have recently expressed the need to develop a rating system of preventive actions. This study identified Action Programs for Flood Prevention (Programme d’Action pour la Prévention des Inondations—PAPI) as the key French public policy instrument: they provide an overview of the diversity of actions that are conducted locally at the relevant risk basin scale. A database of all intended actions in the 145 launched PAPIs was constructed and the actions were coded (88 codes). The analysis consisted of two steps: (1) We conducted an expert valuation using the Analytic Network Process and the Analytic Hierarchy Process, aiming at creating an experimental national rating system. The results show the importance of implementing an integrated strategy that particularly emphasizes land use planning and urban planning. This appears even sounder as individual actions show relatively limited effectiveness. (2) The ratings of actions were applied to each PAPI according to their implemented actions. The resulting scores for individual PAPIs, as local risk coping capacity indicators, show great variance ranging from 8 to 324 points. This confirms the need to take prevention into account in flood risk assessment.
基金supported in part by the National Natural Science Foundation of China(61533017,U1501251,61374105,61722312)
文摘The residential energy scheduling of solar energy is an important research area of smart grid. On the demand side, factors such as household loads, storage batteries, the outside public utility grid and renewable energy resources, are combined together as a nonlinear, time-varying, indefinite and complex system, which is difficult to manage or optimize. Many nations have already applied the residential real-time pricing to balance the burden on their grid. In order to enhance electricity efficiency of the residential micro grid, this paper presents an action dependent heuristic dynamic programming(ADHDP) method to solve the residential energy scheduling problem. The highlights of this paper are listed below. First,the weather-type classification is adopted to establish three types of programming models based on the features of the solar energy. In addition, the priorities of different energy resources are set to reduce the loss of electrical energy transmissions.Second, three ADHDP-based neural networks, which can update themselves during applications, are designed to manage the flows of electricity. Third, simulation results show that the proposed scheduling method has effectively reduced the total electricity cost and improved load balancing process. The comparison with the particle swarm optimization algorithm further proves that the present method has a promising effect on energy management to save cost.
文摘触发执行编程(Trigger-Action Programming,TAP)为用户联动物联网(Internet of Things,IoT)设备提供了便捷的编程范式。利用机器学习对用户已编辑的TAP规则进行分析,实现TAP规则推荐和生成等功能可以提升用户体验。但TAP规则可能包含个人隐私信息,用户对上传和分享TAP信息存在顾虑。文章提出了基于联邦学习和区块链技术的TAP规则处理系统,用户可在本地进行TAP模型训练,无需上传隐私数据。为解决集中式服务器单点故障和防范恶意模型参数上传的问题,文章利用区块链技术改进集中式TAP联邦学习架构。用户将本地模型更新的累积梯度传输给区块链中的矿工,进行异常识别和交叉验证。矿工委员会整合正常用户提供的累积梯度,得到的全局模型作为一个新区块的数据,链接到区块链上,供用户下载使用。文章采用轻量级无监督的非负矩阵分解方法验证了提出的基于联邦学习和区块链的分布式学习架构的有效性。实验证明该联邦学习架构能有效保护TAP数据中的隐私,并且区块链中的矿工能够很好地识别恶意模型参数,确保了模型的稳定性。
