乘积型指数滤波器及其在多目标时延估计中的应用

指数滤波器是一类新构造出来的输出信噪比和目标时延分辨力随指数变化的滤波器,该滤波器在损失一定输出信噪比的前提下可以有效提高目标时延分辨力,从而提高目标时延估计精度,但仅采用单个指数滤波器仍存在输出信噪比和目标时延分辨力均达不到实际需求的情况。在乘积型高阶模糊函数乘积运算的启发下,在指数滤波器的基础上提出了一种新的乘积型指数滤波器,并分析了该乘积型指数滤波器的输出信噪比及目标时延分辨力等性能。仿真实验表明,所提的乘积型指数滤波器在低信噪比情况下可以更有效提高多目标时延估计精度,且算法简单易于实现,适用于背景复杂的多目标参数估计任务。     

家庭农场退出诱发的利益冲突与化解策略研究

研究目的:借助埃奇沃斯盒状图阐述家庭农场退出的\"帕累托改进\"过程,深入分析家庭农场退出可能诱发不同主体间的利益冲突以及应对策略,为家庭农场的合理有序退出提供理论支撑。研究方法:经济学交换的一般均衡分析法、理论分析法、文献梳理法、综合分析法。研究结果:在家庭农场退出时,会在家庭农场主、农户、债权人、集体经济组织、家庭农场的其他成员等主体之间围绕土地合同违约、债务清偿次序、债务承担比例、资产处置等问题诱发激烈的矛盾冲突,这些问题的妥善解决对于构建家庭农场的合理有序退出机制、盘活退出家庭农场的整体资产、维护退出家庭农场主和债权人的合法权益都具有重要意义。研究结论:家庭农场退出所诱发的不同主体间的利益冲突应当依据法律政策、土地流转合同等科学合理地加以解决。对于家庭农场退出的资产采取整体转让、转租、托管经营等方式处理;明确家庭农场退出需要承担的法律责任,参照相关法律政策,明确家庭农场退出的债务偿还规则;明确集体经济组织在家庭农场退出时的职能定位;通过制定内部规章制度明晰家庭农场成员间的\"权责利\"关系格局。     

Conflict resolution strategies in joint purchase decisions for major household consumer durables: a cross‐cultural investigation

Previous studies on joint purchase decisions have investigated the types of conflict resolution strategies used by spouses, the usage frequency of different conflict resolution strategies, and the effects of demographics and various other variables, on the uses of conflict resolution strategies. Despite efforts to address this largely unexplored area, the role that culture plays in the use of conflict resolution strategies has been significantly ignored. Using a cross‐cultural perspective, this study addresses the gap in our understanding of the joint purchase decisions in the family by examining how husbands and wives of three ethnic groups in Britain – British Whites, Indians and African Blacks – use different conflict resolution strategies while jointly purchasing major household consumer products. The total sample comprised 583 husbands and wives of British White, Indian and African Black origin residing in London and Manchester in Britain. Our results showed that three conflict resolution strategies are used by both husbands and wives: bargaining, assertiveness and playing on an emotion. In addition, disengagement emerged as a strategy for husbands, whereas supplication emerged for wives. The study presented in this paper also provides substantial evidence of differences in the use of conflict resolution strategies by husbands and wives from the three ethnic groups, which greatly improves our knowledge on a cross‐cultural perspective of joint purchase decisions.     

Negotiation support using the Graph Model for Conflict Resolution

The Graph Model for Conflict Resolution is a flexible methodology for systematically studying strategic conflicts in the real world, and is therefore a natural tool for negotiation support. The basic definitions underlying the graph model are reviewed, and the techniques for analysis and interpretation are discussed. The modeling and analysis of a case study, an international trade negotiation concerning the export of Canadian softwood lumber to the United States, are used to demonstrate the practical application of the Graph Model for Conflict Resolution as a negotiation support tool. The modeling and analysis is carried out using the GMCR software system. The ability of the Graph Model for Conflict Resolution to provide insights and advice to negotiators is emphasized.     

Regulatory Actions under Adjustment Costs and the Resolution of Scientific Uncertainty

Food system regulators often decide whether to ban existing practices or approve new technologies without conclusive scientific evidence on possible damage and knowing that resolution is likely in the future. In a model with three decision points and stochastic resolution of uncertainty, we study interactions between expected losses due to regulation and information availability when a regulator is deciding on an early reversible ban and on a later reversible ban. Adjustment costs create inertia concerning intermediate signals such that earlier decisions are not overturned, and also a bias against imposing an early ban. The prospect of more later-stage information can increase or decrease the incentive to ban early, but research decreases the incentive to ban early.     

基于优化HRNetV2的高分辨率遥感影像土地利用自动分类

研究目的：基于语义分割模型HRNetV2实现高分辨率遥感影像的土地利用自动分类,以期推动深度学习语义分割方法实现遥感影像的土地利用自动分类研究,并为该类研究提供可参考的案例。研究方法：首先对语义分割模型HRNetV2从损失函数、特征提取方面进行优化,以提高模型的分割精度;其次用优化后的HRNetV2模型对民乐县2 m的高分辨率遥感影像进行土地利用分类,并基于混淆矩阵对分类的结果进行评估。研究结果：（1）优化后的HRNetV2语义分割模型的MIOU达81.9%,相较于优化前提高了4.4%, 证明了优化方法的有效性;（2）针对民乐县进行的土地利用自动分类总体精度达89.72%,Kappa系数达0.888。研究结论：优化后的HRNetV2语义分割模型在高分辨率遥感影像的土地利用自动分类中具有较强的应用前景。     

互联网保险公司财务风险研究

互联网保险特殊经营模式使保险公司呈现固定资产占比较小、资产负债率较低、保险产品\"场景化、碎片化\"、渠道成本低廉等财务特征,也使保险公司面临更为错综复杂的财务风险,如对股东的权益性资金依赖性较强、定价风险加大、盈利空间不定以及骗赔套保和洗钱风险等.鉴此,应拓宽筹资渠道,优化保险产品定价,提高保费收入持续增长能力,降低运营和合作成本,构建第三方保单认证和风险评估体系,加强资金规范化管理,强化外部监管等.     

数据转换算法在喷绘机打印中的应用

文章在研究了喷绘机打印程序的原理及数据转换算法的基础上,提出了一种新的算法—插点法,它解决了低分辨率喷头打印高分辨率图像的质量问题。结果表明,插点法能有效提高喷绘机的工作效率和工作质量。