团队中枢节点的效率模型

集团性是社会网络的显著特征.团队作为一个小规模的社会网络,也存在网络结构的非均匀性以及中枢节点.在阐述团队网络的集团性和中枢节点导致网络的两面性等结构特征的基础上,运用小世界模型的局部效率和集聚系数等指标,建立了团队中枢节点的效率模型,并通过网络结构的调整(如加键和断键重连)研究了网络结构对中枢节点的效率的影响.     

基于熵值Topsis和博弈动力学的空港联盟决策研究

针对空港在面临联盟选择时的决策问题进行了研究,认为众空港在博弈中的收益为不等值,从区域发展、生产要素、需求状况、支撑产业和环境影响五方面建立空港联盟收益的指标体系,将空港网络抽象成小世界网络,结合熵值Topsis和小世界网络博弈动力学建立空港联盟决策算法,并且运用2010年我国25大空港的实证数据进行研究。结论显示空港联盟只能解决空港发展的一时问题,提升自身能力才是重中之重,研究结论具有实际应用意义。     

基于最短路径数的WSN抗毁性评价方法

从已有的基于全网的等效最短路径数的抗毁性出发,应用到以数据为中心的无线传感器网络各个簇的抗毁性衡量中。进而用簇的抗毁性来衡量整个无线传感器网络的抗毁性。并对基于小世界模型的无线传感器网络抗毁性进行了抗毁性分析。仿真结果表明,该评估模型能更客观、准确地评估以数据为中心的无线传感器网络的抗毁性。     

17.9% Metal‐wrap‐through mc‐Si cells resulting in module efficiency of 17.0%

We obtained 17.9% cell efficiency on thin and large mc‐Si REC wafers using ECN's metal‐wrap‐through (MWT) concept. Optimization of several cell processing steps led to an increase of more than 2% absolute in cell efficiency. With these cells 36‐cell modules were manufactured at 100% yield in our industry scale module pilot line. The highest module efficiency obtained (as independently confirmed by JRC‐ESTI) was 17%. In this module the average cell efficiency was 17.8%; this shows a small difference between cell and module efficiency. Copyright © 2011 John Wiley & Sons, Ltd.     

不是问题的问题

概述了我国PCB工业是在资本主义社会包围下发展起来的,资本主义社会发生经济危机带来的问题。我们要看到经济危机过后的新的产品和市场的平台。     

A statistical mechanics approach to Granovetter theory

In this paper we try to bridge breakthroughs in quantitative sociology/econometrics, pioneered during the last decades by Mac Fadden, Brock–Durlauf, Granovetter and Watts–Strogatz, by introducing a minimal model able to reproduce essentially all the features of social behavior highlighted by these authors.     

基于FPGA的多功能数字钟设计

文中简要介绍了一种基于FPGA的多功能数字钟设计方案。在实现数字钟计时、校时和整点报时等基本功能的基础上增加世界时钟功能,能够将北京时间快速转换为格林威治标准时。该方案采用VHDL和原理图相结合的设计输入方式,在QuartusⅡ开发环境下完成设计、编译和仿真,并在FPGA硬件开发板上进行测试,实验证明该设计方案切实可行,对FPGA的应用和数字钟的设计具有一定参考价值。     

A preliminary investigation on the topology of Chinese and climate networks

Complex networks have been studied across many fields of science in recent years. In this paper, we give a brief introduction of networks, then follow the original works by Tsonis et al (2004, 2006) starting with data of the surface temperature from 160 Chinese weather observations to investigate the topology of Chinese climate networks. Results show that the Chinese climate network exhibits a characteristic of regular, almost fully connected networks, which means that most nodes in this case have the same number of links, and so-called super nodes with a very large number of links do not exist there. In other words, though former results show that nodes in the extratropical region provide a property of scale-free networks, they still have other different local fine structures inside. We also detect the community of the Chinese climate network by using a Bayesian technique; the effective number of communities of the Chinese climate network is about four in this network. More importantly, this technique approaches results in divisions which have connections with physics and dynamics; the division into communities may highlight the aspects of the dynamics of climate variability.     

基于RoboCup3D仿真平台的双足机器人大脚球进攻策略设计

RoboCup3D仿真系统融合了人工智能、传感器、通信、智能控制等多门学科的相关技术.针对RoboCup3D仿真中双足机器人的踢球动作设计问题(如:踢球力度弱、摔倒等)提出了一种基于大脚球的进攻策略.采用大脚球的进攻策略可以有效的促使足球快速的踢进对方半场后方,在仿真比赛中极具攻击性.仿真结果验证了它的有效性和实用性.     

Small World Effects in a Harmonious Unifying Hybrid Preferential Model Networks

Small world effects in the harmonious unifying hybrid preferential model (HUHPM) networks are studied both numerically and analytically. The idea and method of the HUHPM is applied to three typical examples of unweighted BA model, weighted BBV model, and the TDE model, so-called HUHPM-BA, HUHPM-BBV and HUHPM-TDE networks. Comparing the HUHPM with current typical models above, it is found that the HUHPM networks has the smallest average path length and the biggest average clustering coefficient. The results demonstrate that the HUHPM is more suitable not only for the un-weighted models but also for the weighted models.