大规模 MIMO系统中用户分层变长时隙分配方法研究

大规模MIMO系统时分双工模式中分配的物理时隙长度是固定的,不能根据不同时长的信道相干时间灵活地调整长度,二者长度的不匹配导致部分时频资源的浪费,因此系统的总体容量不能达到最优。针对此问题本文提出一种用户分层变长时隙分配方法,即根据不同终端的移动性对终端进行分层,并为不同层中的移动终端灵活地分配不同时长的物理时隙,使物理时隙长度与移动终端所对应信道的相干时长相匹配,从而减少时频资源的浪费,提高了资源利用率。同时,避免了低速移动终端过频繁的信道估计,降低了信道训练序列开销,使系统的总体数据容量得到很大的提升。实验仿真结果验证了本文所提方法的有效性。     

禁忌单亲遗传算法的某指挥控制舱协同任务规划

指挥控制舱是武器系统中指挥控制的功能核心,通过多人协同交互完成指控任务。为提高人员协同效率和操控效率。建立了以完成所有任务的时间最短为目标函数的多人协同任务规划模型。在求解模型时,采用禁忌单亲遗传混合优化算法,通过无性繁殖的方法,减少了在子代中产生无效染色体的情况,提升了算法的效率,通过禁忌算法有效避免陷入局部极小值。通过实例分析,算法使总任务执行时间减少了12豫。本模型以及求解算法在解决指挥控制舱多人协同任务规划时具有可行性,对指挥控制舱任务流程设计具有一定参考价值。     

伊犁果子沟野生药用植物资源与保护

初步查明果子沟有野生药用植物 189种 ,隶属于 5 4科 16 0属。资源储量不足 ,名贵中药材面临灭绝的危险 ,亟应加强对野生药用植物资源的保护     

钟敬文的文化观与新疆民族文化资源的保护利用

钟敬文阐明了民族的整体文化与民俗文化的关系,确定了民俗文化在整体文化中的重要地位。他指出文化认同是实施西部大开发战略的首要前提。钟敬文的文化观对保护和利用新疆民族文化资源,推动新疆经济文化建设具有指导意义。     

基于变量节点串行消息传递的LDPC码译码研究

针对标准LDPC码译码中洪水消息传递机制的不足,提出以串行机制进行消息传递,按照变量节点的顺序进行消息处理和传递,对每个变量节点同时接收校验消息和发送变量消息。该方法使更新的消息能够很快进入当前迭代计算,改善了LDPC迭代译码的收敛性能。通过对几种常用译码算法的仿真比较,验证了在复杂度不增加的情况下,该方法性能优于其它几种最大后验概率准则的译码方法,且算法收敛快,是一种能较好兼顾性能与实现复杂度的译码方法。     

对武警学院原生文献资源建设管理的几点思考

原生文献是一所学校成立以来,在教学、科研及各项管理工作中产生的特色文献资源。以武警学院为例,从原生文献的基本概念入手,对原生文献资源建设的意义以及如何进行原生文献资源建设等方面进行了一些探讨。     

构建土地资源管理专业人才培养方案与体系的探讨

本文以石河子大学理学院新审批土地资源管理专业为例,根据土地科学的学科性质和土地管理实际工作对人才规格的需求,结合兵团实际,主要从人才培养目标定位、课程体系构建,师资队伍培养、实践教学体系及实践教学平台搭建等四个方面对该专业人才培养方案与体系进行了初步的探索与实践。     

Market reactions to regulations on minerals from the democratic republic of the Congo

Using an event study approach to analyze stock market data from the United States, I investigate how regulations on conflict minerals sourced in the Democratic Republic of the Congo were perceived by investors. I find that for a subset of mining companies, stock returns were abnormally high when regulations in the US became more likely. I also find that returns were higher for communications equipment manufacturing companies when strong regulations in the DRC were announced. I argue that these responses were due to the competitive environments faced by each of these company types. These findings relate to debates surrounding the effects of the conflict mineral regulations. While some critics argue that reporting requirements were tantamount to a ban on minerals from the DRC, I find that stock returns for a subset of companies were sensitive to legislation in the DRC after legislation became law in the US, suggesting that market participants did not expect a complete trade ban on regulated mining and trading activities.     

Natural resource degradation and conflict in the East African pastoral drylands

Based on a literature review, this article examines the dynamics in pastoral systems, natural resource conservation and conflict in the drylands of East Africa. It argues that, in the context of East Africa, pastoralism and biodiversity conservation in general are distinct forms of land use that are complementary rather than competitive. The present state of natural resource degradation in the drylands is explained in terms of factors related to ecological and demographic pressures, land use conflicts and inefficient land administration policies. When the customary pastoral institutions of land administration and resource management are threatened, the problem of degradation is further exacerbated and violent conflicts occur among multiple resource users, including pastoralists, farmers and the state. The article recommends the revitalisation, empowerment and recognition of pastoral institutions in a way that ensures effective synergy between the formal and customary structures of resource governance.     

Screening multi-dimensional heterogeneous populations for infectious diseases under scarce testing resources,with application to COVID-19

Testing provides essential information for managing infectious disease outbreaks, such as the COVID-19 pandemic. When testing resources are scarce, an important managerial decision is who to test. This decision is compounded by the fact that potential testing subjects are heterogeneous in multiple dimensions that are important to consider, including their likelihood of being disease-positive, and how much potential harm would be averted through testing and the subsequent interventions. To increase testing coverage, pooled testing can be utilized, but this comes at a cost of increased false-negatives when the test is imperfect. Then, the decision problem is to partition the heterogeneous testing population into three mutually exclusive sets: those to be individually tested, those to be pool tested, and those not to be tested. Additionally, the subjects to be pool tested must be further partitioned into testing pools, potentially containing different numbers of subjects. The objectives include the minimization of harm (through detection and mitigation) or maximization of testing coverage. We develop data-driven optimization models and algorithms to design pooled testing strategies, and show, via a COVID-19 contact tracing case study, that the proposed testing strategies can substantially outperform the current practice used for COVID-19 contact tracing (individually testing those contacts with symptoms). Our results demonstrate the substantial benefits of optimizing the testing design, while considering the multiple dimensions of population heterogeneity and the limited testing capacity.