基于LMDI和STIRPAT模型的区域用水影响因素定量分析研究

区域用水影响因素分析对落实最严格水资源管理制度、实现节水型社会建设具有重要意义。为定量表征区域用水变化和影响因素之间的关系,通过LMDI因素分解识别人口规模、经济发展水平、节水技术水平对用水变化的影响程度,采用STIRPAT模型解析用水总量对人口规模、经济发展水平、节水技术水平变化的变动响应关系,以榆林市2000—2017年用水及影响因素变化为例开展了实证研究。结果显示:人口规模和经济发展水平对用水增长起到正向促进作用,节水技术水平起到负向抑制作用。人口规模、经济发展水平、节水技术水平效应依次为8 163.124万m~3、144 238.924万m~3、-126 161.049万m~3;人口规模、经济发展水平、节水技术水平每变化1%,用水将分别变化1.208%、0.061%和0.037%;经济发展水平和节水技术水平是用水变化的主要影响因素,但用水对人口规模变化敏感程度最高。最后,结合榆林市水资源特点提出针对性措施和建议,以期为榆林市水资源规划与管理提供参考。     

阿姆河流域耕地变化及水土匹配特征分析

基于中亚阿姆河流域4个分区1990—2015年间土地利用变化和水资源等数据,运用耕地变化速率、洛伦兹曲线和基尼系数法以及水土资源匹配系数对阿姆河流域耕地变化和水土匹配状况进行了综合分析。结果表明:1990—2015年阿姆河流域耕地以146.74 km²/a的速度在扩张,且各时期、各分区扩张的速度不同;在不考虑咸海来水不断减少、生态持续恶化的前提下,绿洲区匹配状况属比较公平和相对合理状况;阿姆河流域水土资源空间分布存在明显的错位现象;全流域生态用水被农业用水严重挤占,阿姆河流域灌溉面积、灌溉用水量成为影响咸海水量及面积变化的重要因素,是一种不可持续的用水方式。     

沙颍河流域水资源利用量与经济发展匹配特征

根据沙颍河流域河南段情况确定各地市水资源可利用量,基于数列的匹配度计算方法,对流域内10个地市2014—2018年水资源利用量与经济发展关系进行研究,分析各地市用水量、水资源可利用量与GDP关联程度。结果表明：由于气候条件等因素差异,水资源可利用量差距较大,其中漯河市和周口市单位面积水资源可利用量较多;在研究年限内,各地市水资源可利用量与用水量匹配情况差异较大;在时间维度上,各地市用水量与GDP匹配程度较好,而在空间维度上,开封市匹配情况最差,漯河等城市较好;各地市水资源可利用量与GDP匹配情况存在明显的时空差异。     

多机器人网络中资源公平分配的研究

就如何实现多机器人网络中各独立任务资源的公平分配及其服务质量最优化提出了一种新方法。该方法通过对增益控制参数的模糊控制,增强了系统的鲁棒性,并尽可能快速平稳地实现各项独立任务所需资源的公平分配。     

基于REST架构的矿山数字移动办公平台

基于面向资源思想以及REST架构,首次提出了矿山资源抽象层的概念,将矿山中各个异构系统的功能、文档、界面、工作流等抽象为能够通过标准URI来唯一标识的抽象资源元数据,在决策或智能分析层通过对元数据的分析和处理来实现相应操作或得出相关的分析结果;提出了基于REST框架的矿山数字移动办公平台设计方案,并以神木张家峁矿业有限公司移动办公平台的建设为例,介绍了将多个异构系统快速集成在移动终端的实现方法。应用结果表明,该移动办公平台运行稳定,操作流畅,使得工作人员能够随时、随地、随手办公,大大提高了办公灵活性及效率。     

Usable optimistic fair exchange

Fairly exchanging digital content is an everyday problem. It has been shown that fair exchange cannot be achieved without a trusted third party (called the Arbiter). Yet, even with a trusted party, it is still non-trivial to come up with an efficient solution, especially one that can be used in a p2p file sharing system with a high volume of data exchanged.We provide an efficient optimistic fair exchange mechanism for bartering digital files, where receiving a payment in return for a file (buying) is also considered fair. The exchange is optimistic, removing the need for the Arbiter’s involvement unless a dispute occurs. While the previous solutions employ costly cryptographic primitives for every file or block exchanged, our protocol employs them only once per peer, therefore achieving an O(n) efficiency improvement when n blocks are exchanged between two peers. Our protocol uses very efficient cryptography, making it perfectly suitable for a p-2-p file sharing system where tens of peers exchange thousands of blocks and they do not know beforehand which ones they will end up exchanging. Therefore, our system yields up to one-to-two orders of magnitude improvement in terms of both computation and communication (40 s vs. 42 min, 1.6 MB vs. 200 MB). Thus, for the first time, a provably secure (and privacy-respecting when payments are made using e-cash) fair exchange protocol can be used in real bartering applications (e.g., BitTorrent) [14] without sacrificing performance.     

Interactive Genetic Algorithm with Mixed Initiative Interaction for multi-criteria ground water monitoring design

Design of optimal plans for environmental planning and management applications should ideally consider the multiple quantitative and qualitative criteria relevant to the problem. For example, in ground water monitoring design problems, qualitative criteria such as acceptable spatial extent and shape of the contaminant plume predicted from the monitored locations can be equally important as the typical quantitative criteria such as economic costs and contaminant prediction accuracy. Incorporation of qualitative criteria in the problem-solving process is typically done in one of two ways: (a) quantifying approximate representations of the qualitative criteria, which are then used as additional criteria during the optimization process, or (b) post-optimization analysis of designs by experts to evaluate the overall performance of the optimized designs with respect to the qualitative criteria. These approaches, however, may not adequately represent all of the relevant qualitative information that affect a human expert involved in design (e.g. engineers, stakeholders, regulators, etc.), and do not necessarily incorporate the effect of the expert's own learning process on the suitability of the final design. The Interactive Genetic Algorithm with Mixed Initiative Interaction (IGAMII) is a novel approach that addresses these limitations by using a collaborative human-computer search strategy to assist users in designing optimized solutions to their applications, while also learning about their problem. The algorithm adaptively learns from the expert's feedback, and explores multiple designs that meet her/his criteria using both the human expert and a simulated model of the expert's responses in a collaborative fashion. The algorithm provides an introspection-based learning framework for the human expert and uses the human's subjective confidence measures to adjust the optimization search process to the transient learning process of the user. This paper presents the design and testing of this computational framework, and the benefits of using this approach for solving groundwater monitoring design problems.     

电子政务环境下福建省政府信息能力的提升

分析了政府信息能力的内涵,提出电子政务对于政府信息能力的提升作用是从改善政府信息资源的构成要素和提高政府信息资源的应用能力两方面来体现,总结了当前福建省政府信息能力的现状,并提出了如何通过电子政务进一步提升福建省政府的信息能力。     

A Brief Introduction on Joint Radar and Communication Systems

Joint radar and communication(JRC) technology is gradually becoming an essential approach to alleviating spectral congestion. Radar and communications systems were designed with common spectral and hardware resources to reduce size, improve performance, reduce cost, and decongest the spectrum. Various approaches have been proposed to achieve the coexistence of radar and communication systems. This paper mainly focuses on the research directions of radar communication coexistence(RCC) and dual-function radar communication systems(DFRC) in JRC technology. We summarize and analyze the existing research problems in the JRC era. According to the characteristics and advantages of JRC technology, we highlight several potentials in military and commercial applications.     

一种信息中心移动自组网中的数据访问控制机制

针对信息中心移动自组网场景中节点间间歇连接和网内泛在缓存的特点,提出一种基于门限秘密共享机制的数据访问控制机制.通过构建辅助密钥块,降低了消费者解密的开销和网络节点的存储资源消耗.同时,通过引入双变量单向函数,保障了消费者子秘密份额的唯一性,减少了消费者侧秘密份额管理所带来的空间开销.仿真和理论分析结果表明,该机制显著降低了消费者侧的解密开销,良好地适应了信息中心移动自组织网络场景.