无人机测控信道衰落特性及其抑制方式

分析了无人机测控信道模型以及由小规模衰落带来的非频率选择性衰落、频率选择性 衰落与时间选择性衰落的产生机理及特性,并针对这3种衰落进行了抑制方法分析,指出O FDM、交织与编码以及空间分集是无人机测控中值得重点研究的抗衰落技术。     

产品市场竞争动态与公司财务保守行为:实证研究述评

得益于产业组织理论与资本结构理论的交叉渗透,企业融资管理更加强调财务灵活性,即须基于产品市场竞争动态、公司战略、公司治理结构以及资本市场环境等因素进行综合权衡,财务保守由此作为一种能够适应企业当前情况及未来投资机会的投融资战略选择行为,而在当代资本结构研究中颇受关注。文章基于资本市场时机、行业竞争、公司治理结构及债务契约分析等四个视角对产品市场竞争与公司财务保守行为关系的经验研究予以述评。     

Dynamics of judicial service supply chains

Behavioral issues, coupled with temporary capacity imbalances, dictate the characteristics that a service supply chain assumes in the long run. The paper looks at a service chain in which two factors, backlogs and incentives, influence human agent processing times and, hence, service supply chain capacity. The paper finds that servers within the supply chain change their processing speeds in order to maintain a backlog of cases that is acceptable and credible. The backlog must not be too small, so as to avoid the impression that work is scant and there is idleness; but it must not be too large, so as to avoid the impression of laziness. Simultaneously, the paper finds that there are implicit incentives in the formal hierarchy that impinge upon throughput rates at certain stages of the supply chain: agents upstream try not to overwhelm their bosses' stations downstream with excess work. Hence, this paper looks at the effects of perceived backlogs within service supply chains and also at capacity unbalances that stem from such incentives. The study explores these issues in the context of a managerial intervention in a judicial service supply chain. The study identifies the structure of a seemingly unstructured decision execution that leads to the observed outcomes. The research results in a preliminary system dynamics model that suggests several operational steps to overcome bottlenecks and incompetency.     

基于两层架构协调的应急物资分配与车辆调度集成优化方法

针对突发事件下的应急物资调运问题，考虑了多个地区同时受灾以及多个出救点需要对其进行救灾并且各出救点的运力有限的情况，以最小化总的车辆运输费用，最大化救灾效率、各受灾点的救灾满意度，以及各受灾点得到救助的公平性为目标，建立了该问题的多目标混合整数非线性规划模型，并提出了一个基于两层架构协调的迭代式遗传算法进行求解。基于仿真数据的实验结果证明了所提出的模型和算法的有效性。     

Determinants of reverse marketing knowledge transfer potential from emerging market subsidiaries to multinational enterprises’ headquarters

Emerging markets (EM) are becoming increasingly important for multinational enterprises because of their high growth potential and future prospects. The unique circumstances in EM lead to increased pressure to offer creative marketing solutions that can be leveraged across the multinational network. Setting up subsidiaries to tap into these markets offers companies the opportunity to integrate in the local community and access its knowledge-base for local and global innovations. Literature, however, reveals that EM subsidiaries have been largely ignored concerning their potential for reverse knowledge transfer (RKT), and marketing initiatives are expected to be developed in mature, developed markets. Our paper fills this gap in research and contributes to extant literature by identifying factors at unit, relationship and knowledge levels influencing RKT potential specific to marketing knowledge from EM subsidiaries. The conceptual discussion leads to study propositions and conceptual framework.     

The proposal and validity of the Customer Science Dual System--The key to corporate management innovation

A future successful global marketer must develop an excellent quality marketing system that impresses users and continuously provides excellent, quality products in a timely manner through corporate management. In this study, the authors proposed the Customer Science Dual System, CS-TMNS ＆ CS-SDSM. For the purpose of innovating strategic product development systems so called Customer Value Creative System, the Total Marketing Network System, CS-TMNS is established. In addition, for intelligent utilization of the established CS-TMNS, statistical science is incorporated so as to create the Strategic Designing Support Methods, CS-SDSM, as a new approach to the creation of wants that are vital to product planning and designing. Concretely, the author will also introduce the effectiveness of this system that reflects latent customer needs through scientific marketing application examples via Automobile Design Profile for the Younger Generation.     

Analysing tax evasion dynamics via the Ising model

We develop a model of tax evasion based on the Ising model. We augment the model using an appropriate enforcement mechanism that may allow policy makers to curb tax evasion. With a certain probability tax evaders are subject to an audit. If they get caught they behave honestly for a certain number of periods. Simulating the model for a range of parameter combinations, we show that tax evasion may be controlled effectively by using punishment as an enforcement mechanism.     

Do tourists disperse weed seed? A global review of unintentional human-mediated terrestrial seed dispersal on clothing,vehicles and horses

Human-mediated seed dispersal is recognised as an important, but under-researched, issue. To assess the potential for tourists to act as unintentional seed dispersal agents, we reviewed published and unpublished data on seed dispersal via clothing, vehicles (cars) and in/on horses and donkeys, all of which can be used by tourists. Seeds from 754 species of terrestrial plants have been collected from these vectors, 15% of which are internationally recognised environmental weeds. Seeds were collected from personal clothing and equipment (228 species), the fur of donkeys and horses (42 species), horse dung (216 species) and vehicles (505 species). Most were herbs (429 species) or graminoids (237 species) and native to Europe. Annual Poa, White Clover, Kentucky Bluegrass and Yorkshire Fog were the most frequent species. There have been eight studies specifically on tourists, which identified 12 species on clothing, 26 on vehicles and 133 from horse dung. Methods that minimise the risk of tourists as human-mediated dispersal agents may therefore be appropriate for some tourism activities/destinations: suggestions are made. Further sampling using standardised experimental techniques is required to assess the relative risk associated with specific tourist activities and locations and determine which, and how much, seed is transported.     

汽车空调风道出风情况的CFD分析与优化

文章建立了某车型汽车空调风道结构的三维数学模型,利用商业软件Fluent进行模拟,得到了风道出风口风量大小和风量的分配情况,并与设计值进行了比较;在此基础上,分析了风道出口扫风情况,提出了解决方案,对改进和优化风道结构,提高汽车空调整体性能具有一定的参考价值。     

基于无交叉遗传算法的物流车辆路径问题研究

设计并实现了一种求解基本车辆路径问题的无交叉遗传算法,阐述了无交叉遗传算法求解物流车辆路径问题的关键技术,包括编码方案、初始种群生成方案、适应度函数、种群选择方案和变异操作等;并对比了使用目标函数倒数法和目标函数做差法构造适应度函数时的求解效果。实验结果表明,给出的无交叉遗传算法在求解车辆路径问题上具有良好的性能。