Heuristics of node selection criteria to assess robustness of world airport network

The world airport network (WAN) is one of the networked infrastructures that shape today's economic and social activity,so its resilience against incidents affecting the WAN is an important problem.In this paper,the robustness of air route networks is extended by defining and testing several heuristics to define selection criteria to detect the critical nodes of the WAN.In addition to heuristics based on genetic algorithms and simulated annealing,custom heuristics based on node damage and node betweenness are defined.The most effective heuristic is a multiattack heuristic combining both custom heuristics.Results obtained are of importance not only for advance in the understanding of the structure of complex networks,but also for critical node detection.     

小天体主动附着制导与控制技术研究进展

结合目前已实施的小天体附着探测任务,对小天体探测器主动附着涉及的制导与控制技术进行了系统性的回顾。首先,针对小天体附着任务风险高、不确定性强的特点,明确了主动附着的内涵,并分析了现有附着探测技术在自主性和安全性上面临的挑战,阐述了提高探测器主动附着能力的重要性。在此基础上,归纳梳理了与主动附着相关的制导与控制技术最新研究进展。最后,结合未来小天体探测任务需求,总结了今后具有进一步研究价值的几个问题。     

Reevaluation of thermosphere heating by auroral electrons

This paper presents a new calculation of neutral gas heating by precipitating auroral electrons. It is found that the heating rate of the neutral gas is significantly lower than previous determinations below 200 km altitude. The neutral gas heating arises from the many exothermic chemical reactions that take place from the ions and excited species created by the energetic electrons. The calculations show that less than half the energy initially deposited ends up heating the neutral gases. The rest is radiated or lost in the dissociation of O₂ because the O atoms do not recombine in the thermosphere. This paper also presents a new way of calculating the heating rate per ionization that can be used for efficient determination of the overall neutral gas heating for global thermosphere models. The heating rates are relatively insensitive to the neutral atmosphere when plotted against pressure rather than altitude coordinates. At high altitudes, the heating rates are sensitive to the thermal electron density and long-lived species. The calculations were performed with the Field Line Interhemispheric Plasma (FLIP) model using a 2-stream auroral electron precipitation model. The heating rate calculations in this paper differ from previous heating rate calculations in the treatment of backscattered electrons to produce better agreement with observed flux spectra. This paper shows that more realistic model auroral electron spectra can be obtained by reflecting the up going flux back to the ionosphere at the upper boundary of the model. In this case, the neutral gas heating rates are 20%–25% higher than when the backscattered flux escapes from the ionosphere.     

河南省实施创新驱动战略的问题与对策

河南省在人才素质、产业基础、资金投入、知识存量等创新资源方面存在不足，原因在于科研教育资源少、产业结构与创新资金投入体制不合理、知识创新激励机制不完善。提出了立足产业结构优化汇聚创新资源，依托三大载体，优化区域创新体系来实现创新驱动的战略框架，因此需要推进体制创新和基础平台创新、人才管理创新等。     

航空经济发展协同创新体系构建研究

郑州航空港经济综合实验区是一个全新的模式,在建设发展过程中,创新是关键。目前,实验区处于基础建设阶段,航空经济发展政产学研协同创新还面临着创新要素不足、效率不高、人才匮乏等问题,为此,做好航空经济发展协同创新体系顶层设计,还需要进一步推进创新要素集聚、打造协同创新生态、夯实协同创新基础、探索高校协同创新路径。     

基于公司战略的LBDQ公司人力资源规划设计

以LBDQ公司的人力资源需求为研究对象,通过借鉴和研究LBDQ公司的内外部环境、企业自身发展战略以及对标企业,分析出LBDQ公司未来对关键人才的需求,最后从三个维度即企业发展战略、行业发展趋势和对标企业、业务发展规模得出LBDQ人力资源数量和结构的总体需求,进而通过总体需求得出基于战略的LBDQ公司人力资源规划设计,使人力资源工作更具有全局观和战略性,并配合公司的战略发展提供强有力的支持和人才保障。     

云存储环境下的负载均衡策略研究

云存储系统具有高容错性、部署在低廉的硬件上、易扩展性、提供高传输率访问数据的优点,但是在云存储环境下的HDFS架构中,原有的数据节点选择策略有可能造成大文件存储负载不均衡,从而影响整个系统的性能。针对这一问题,综合考虑多个因素对其进行改进,提出了设备选择策略算法,用以均衡系统的负载。并设计仿真实验,验证了算法的有效性。     

大型稀疏线性方程组改进的ICCG方法

有限元分析求解的大型线性方程组．其系数矩阵中只有少量的元素不为零，是一个稀疏矩阵，而且一般都是对称的。求解过程中只存贮对称部分的非零元素，这种全稀疏存贮策略采用链表式管理，使存贮结构可以动态更改。在带双门槛值ICCG方法的基础上加上对角元修正策略，产生了一种改进的ICCG求解法，它不仅节省了存贮空间，而且便于元素的查询、插入和删除，提高了求解效率。这里也给出了验证算例。     

"三方对决"中的策略选择

应用博弈论中优势策略的概念和概率的计算方法，通过计算三方的生存概率，讨论了博弈论中的三方对决问题，并通过社会、经济、教育、政治等活动中的事例，介绍了它的部分应用，对处在激烈竞争环境中的个人或组织如何选择对策具有一定的启示。     

Strategic flight assignment approach based on multi-objective parallel evolution algorithm with dynamic migration interval

The continuous growth of air traffic has led to acute airspace congestion and severe delays, which threatens operation safety and cause enormous economic loss. Flight assignment is an economical and effective strategic plan to reduce the flight delay and airspace congestion by reasonably regulating the air traffic flow of China. However, it is a large-scale combinatorial optimization problem which is difficult to solve. In order to improve the quality of solutions, an effective multi-objective parallel evolution algorithm(MPEA) framework with dynamic migration interval strategy is presented in this work. Firstly, multiple evolution populations are constructed to solve the problem simultaneously to enhance the optimization capability. Then a new strategy is proposed to dynamically change the migration interval among different evolution populations to improve the efficiency of the cooperation of populations. Finally, the cooperative co-evolution(CC) algorithm combined with non-dominated sorting genetic algorithm II(NSGA-II) is introduced for each population. Empirical studies using the real air traffic data of the Chinese air route network and daily flight plans show that our method outperforms the existing approaches, multiobjective genetic algorithm(MOGA), multi-objective evolutionary algorithm based on decomposition(MOEA/D), CC-based multi-objective algorithm(CCMA) as well as other two MPEAs with different migration interval strategies.