Models that account for the progression of nation-building and the impacts of the instruments of national power -- Diplomacy, Informational, Military, and Economic effects -- are rare. This research proposes the development of such a model. Through the derivation of state indices for the operational variables of Political, Military, Economic, Social, Infrastructure, and Information, a functional form of a system of differential equations is developed to account for the interactions between the state indices and instruments of national power. This methodology is a mean-field inverse problem which solves for the coefficients of the differential equations in a data- driven manner. Publicly available data are used to develop the indices and describe the instruments of national power. Applying mean-field theory allows the differential equations to be solved through a nonlinear program that derives minimum error-producing coefficients. An application of the model is derived for Operation Iraqi Freedom to demonstrate the utility as well as the effects of various alternate strategies, using the dynamics captured in the model. This modeling approach offers a potentially significant capability for analyzing and planning future Stabilization, Security, Transition, and Reconstruction Operations (STTRO).

关键词：模型；安全；微分方程

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The concept of forward secrecy is extended to wireless sensor networks where it is frequent that nodes run out of energy and new nodes join the network. However it should not be able to retrieve the previous session key or some crucial information. In 2011 Hagras et al. proposed a key management scheme for heterogeneous wireless sensor networks, which satisfies confidentiality, authentication, integrity and unforgetability but lacks forward secrecy. In this paper, the shortcomings of the victim scheme has been extricated and repaired with the help of Elliptic Curve Discrete logarithm problem (ECDLP). An elliptic curve based signcryption key management scheme has been proposed which includes forward secrecy.

关键词：传感器；签名；密钥

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本文在分析信息化的世情和国情的基础上，提出了未来十年中国信息化发展需要关注和重视的十个主要问题。主要讨论了对于信息时代已经来临的时代认知，推动国家信息化的区域均衡发展，发展智慧城市和智慧城镇，以及促进科学的数字化革命等四个问题。文章强调，未来十年， “创新”必须成为中国信息化发展的主轴。中国需要独立思考，开创中国自己的、新的信息化发展道路。

关键词：信息化；区域均衡发展；智慧城市；科学革命

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In present era of railways transportation the presence of the railway signal system in railway networks makes the train control system much easier & safer. Today the all railway signal systems are based on electrical devices. In this paper we propose a new signal system for railway network which will be based on wireless sensor devices. Proposed frame work helps the train control mechanism to control the train even in low visibility weather condition like dust, haze, snow, heavy rain, fogginess conditions. In this paper we proposed the idea and the framework for the new wireless sensor device based signal system which can be implemented in modification in existing current signal systems.

关键词：传感器；铁路信号；框架

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Wireless sensor network (WSN) technology promises to have a high potential to tackle environmental challenges and to monitor and reduce energy and greenhouse gas emissions. Indeed, WSNs have already been successfully employed in applications such as intelligent buildings, smart grids and energy control systems, transportation and logistics, and precision agriculture. All these applications generally require the exchange of a large amount of data and the localization of the sensor nodes. Both these two tasks can be particularly energy-hungry. Since sensor nodes are typically powered by small batteries, appropriate energy saving strategies have to be employed so as to prolong the lifetime of the WSNs and to make their use attractive and effective. To this aim, the study of data compression algorithms suitable for the reduced storage and computational resources of a sensor node, and the exploration of node localization techniques aimed at estimating the positions of all sensor nodes of a WSN from the knowledge of the exact locations of a restricted number of these nodes, have attracted a large interest in the last years. In this chapter, we discuss how multi-objective evolutionary algorithms can successfully be exploited to generate energy-aware data compressors and to solve the node localization problem. Simulation results show that, in both the tasks, the solutions produced by the evolutionary processes outperform the most interesting approaches recently proposed in the literature.

关键词：传感器；多目标

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In late 2012, the Energy Systems Integration Facility (ESIF) is opening at the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL). The facility includes 19 laboratories with a wide range of capabilities, and will give NREL and partnering organizations the opportunity to research electricity integration projects before deploying them in the field. The ESIF also includes visualization labs to help researchers understand the data collected during project experiments.

关键词：电力系统；可视化

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As mobile devices have been rapidly spread up throughout the world, various services have been provided through mobile devices recently. Many services of them have been developed by using built-in sensors mounted on the mobile devices. Non-photorealistic rendering techniques have been also applied to mobile devices for the purpose of user friendliness or attractions. This paper proposes non-photorealistic rendering method using built-in orientation sensor of mobile devices. The method makes changes of non-photorealistic rendering effects in real time by adjustment of vector fields according as coordinate values from orientation sensor get changed on a mobile device. The proposed method renders pen sketch for a given photo image with direction and strength of line strokes which are applied by vector fields. The method executes rendering based on enhanced LIC filter to make pen sketch on a mobile device. Finally, this paper proves efficiency through the experimental results and shows usefulness of the proposed method.

关键词：传感器;定向

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The objective is how an intelligent vehicle can help mitigate congestion through the use of sensors and computer programming. Participants program the intelligent vehicle to conduct activities to solve congestion issues on our roadways. Vehicle programming exercises include movement of the intelligent vehicle, following a route, emergency vehicle detection, pedestrian detection, travel distance calculations and travel time calculations.

关键词：机器人车辆；中等教育；传感器；计算机编程

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information,including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

关键词：机器人；自适应系统；自主导航；信息处理；交互作用

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关键词：云计算；信息化；珠三角；制造业

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