基于SCMA的无人机中继辅助上行通信方案

为提高蜂窝通信系统的上行总吞吐量,在满足用户服务质量需求的前提下,提出了一种基于稀疏码多址接入(sparse code multiple access,SCMA)的无人机中继辅助上行通信方案,通过部署无人机增强网络覆盖,并利用SCMA提高系统传输性能。根据用户的分布和概率视距传输模型,通过交替优化码本、功率和无人机坐标,确定无人机的3维部署位置;进行资源优化后,根据信道状态信息,对子载波进行配对并迭代码本、功率,以获得优化的码本和功率分配方案。仿真结果表明,提出的方案能够有效提高上行吞吐量,并满足用户的服务质量需求。     

大学体育与健康课程中运动竞赛配套措施设想

对运动竞赛纳入大学体育与健康课程内容的实践进行了总结和分析 ,指出通过这一手段 ,一方面能培养学生的竞争意识和顽强的拼搏精神 ,另一方面也能促使学生加强锻炼 ,养成积极健康的生活习惯 ,并就如何实现这一改革提出了切实可行的配套措施     

土地资源优化配置的物元模型

应用可拓学的理论和方法,对土地资源的特征及优化配置进行了分析,建立了土地资源优化配置的物元模型,为土地资源的优化配置和合理利用提供一种新的科学方法。     

“Unfolding” Natural Resource-Use Information Systems: Fieldwork in Botswana

My research examines the performance of natural resource-use information systems. I question why such systems, despite receiving substantial financial and human investment, appear to have a weak impact on projects, programs, and policy intended for rural poverty alleviation in developing countries. Drawing on my understanding of the process of unfolding introduced by C. West Churchman, and its particular relationship to Habermasian constitutive interests, I reflect on my experiences of using the concept during fieldwork undertaken in Botswana. The concept is found useful on two fronts: first, it provides a purposeful guide for gathering and processing information/knowledge—what I have termed an epistemological intent; second, it provides a useful template for evaluating other information systems; in particular, the role of expertise—what I have termed an ontological intent. The process of unfolding, as I understand it, also provides an invitation for constructive (rather than self-indulgent) personal reflection: what might be termed a constitutive reflexive intent. By making information gathering and knowledge generation less mystical and a more transparent social activity, the conceptual and practical application of the process of unfolding can help toward retrieving inquiry as being a purposeful, openly political, and thereby less deceptive engagement: features which I believe are found particularly wanting in the business of rural development information gathering.     

基于制造清单的企业计划模型

提出了以产品制造过程信息的集成模型,即"制造清单(BOMII)",来替代传统物料清单(BOM)在企业计划体系的核心枢纽作用.制造清单模型的构成包括三大清单(物料清单,作业清单和资源清单)和两大关系矩阵(作业资源矩阵和作业领料矩阵),集成描述了产品制造过程的全部信息,成为企业计划体系中的基础性文件.基于所提出的制造清单模型,建立了作业能力不足和可得资源有限的双重约束情况下的企业资源计划模型,对企业四个层次的计划体系(主生产计划、物料需求计划、能力需求计划和资源需求计划)均给出了相应的算法描述.最后介绍了某耐火材料厂应用该模型的案例分析,表明该模型可很好的应用于企业实践.     

集体消耗公共资源的谋利行为的3种均衡及成员数量对效率的影响

在建立弱再生的资源的再生速度模型和谋利行为对资源的消耗模型的基础上,推导出在谋利行为下的弱再生的公共资源的均衡曲线与均衡模型;利用此模型分析了个人非理性、个人理性及集体理性时的不同均衡点,分析了这些均衡点之间的关系,并且提出引入惩罚函数来实现在集体最优均衡点,从而实现了有利于社会的行为控制.最后讨论了具有公共资源的集体中的成员数量对谋利行为收益的影响,主要得出3点重要结论:[1]在个体数量充分多的情况下,如果没有管理者进行控制,一般都会发展成过度谋利行为,从而对资源造成巨大的危害.[2]税收等惩罚函数的意义,不仅仅是养活政府和社会财富进行再分配,更在于能够对过度谋利行为具有抑制作用.[3]在不影响资源的功能的前提下,应当对公共资源尽可能细小的分割,使占有公共资源的集体尽可能的小.这样可以使保护资源管理成本达到最低,从而使人们的谋利行为的长远效益最大.     

基于系统动力学机制的组合港发展研究

为提升港口的国际竞争力,现代港口在竞争与合作中,建立港口物流供应链的战略合作伙伴关系,形成组合港。剖析组合港的概念及内涵,应用系统动力学理论及仿真方法,分析组合港发展的因果关系、运输需求、能力供给与经济发展的基本反馈关系等,建立组合港发展的系统动力学仿真模型。苏州组合港的实证分析表明,该方法为港口发展决策提供理论依据和指导。     

陕西省水资源承载力动态研究

面临严重的水资源短缺问题,以及对可持续发展造成的制约,运用主成分分析法,从影响陕西省水资源承载力动态变化的15个指标中选出3个指标作为主成分,并用熵值法对其赋权,计算出1999～2004年陕西省水资源承载力的综合得分.结果表明,陕西省的人口和经济发展的持续增长,导致了水资源承载力呈现出恶化的趋势.图2,表4,参10.     

Modeling for UAV resource scheduling under mission synchronization

Unmanned aerial vehicle (UAV) resource scheduling means to allocate and aggregate the available UAV resources depending on the mission requirements and the battlefield situation assessment. In previous studies, the models cannot reflect the mission synchronization; the targets are treated respectively,which results in the large scale of the problem and high computational complexity. To overcome these disadvantages, a model for UAV resource scheduling under mission synchronization is proposed, which is based on single-objective non-linear integer programming. And several cooperative teams are aggregated for the target clusters from the available resources. The evaluation indices of weapon allocation are referenced in establishing the objective function and the constraints for the issue. The scales of the target clusters are considered as the constraints for the scales of the cooperative teams to make them match in scale. The functions of the intersection between the "mission time-window" and the UAV "arrival time-window" are introduced into the objective function and the constraints in order to describe the mission synchronization effectively. The results demonstrate that the proposed expanded model can meet the requirement of mission synchronization, guide the aggregation of cooperative teams for the target clusters and control the scale of the problem effectively.     

Hybrid particle swarm optimization for multiobjective resource allocation

Resource allocation （RA） is the problem of allocating resources among various artifacts or business units to meet one or more expected goals, such a.s maximizing the profits, minimizing the costs, or achieving the best qualities. A complex multiobjective RA is addressed, and a multiobjective mathematical model is used to find solutions efficiently. Then, all improved particie swarm algorithm （mO_PSO） is proposed combined with a new particle diversity controller policies and dissipation operation. Meanwhile, a modified Pareto methods used in PSO to deal with multiobjectives optimization is presented. The effectiveness of the provided algorithm is validated by its application to some illustrative example dealing with multiobjective RA problems and with the comparative experiment with other algorithm.