硅基光电子材料的研究

综述了硅基发光材料的研究新进展,分别以发光多孔硅、多孔碳化硅、纳米硅薄膜和发光硅基超晶格为例,分析讨论了其制备、物理特性及发光机理.     

多孔硅制备方法的进展

主要对当今材料研究的一个国际前沿课题新的硅基材料——多孔硅,其最早的制备方法、改进后的制备方法以及我国近年在该研究领域所取得的突破性成果原位铁钝化水热制备新技术的发明进行系统的论述。     

三甲基硅基键合相微乳液毛细管电动色谱

在总结毛细管电动色谱的基础上,提出了新型的三甲基硅基键合相微乳液毛细管电动色谱模式,并指出了该模式对于高效毛细管电泳走进常规工业分析领域的意义.     

非硅基介孔材料的合成与应用研究进展

介绍了非硅基介孔材料的类型、特性;非硅基介孔材料的合成方法与机理,包括各种类型的模板剂与前趋体相互作用的机制;对非硅基介孔材料在化学催化、光催化与光电极和锂电池电极等方面的应用进行了综述．     

二羰基(五甲二硅基)环戊二烯基三苯基膦(2-环氧亚戊基)钼盐的合成

通过三羰基（五申二硅基）环戊二烯基（3-溴丙基）钼和三未基瞬反应，形成二羰基（五甲二硅基）环戊二烯基三本基膦（2-环氧亚戊基）钼阳离子的溴盐。用四苯硼钠处理这个溴得到其四苯硼盐。并以元素分析、IR和1HNMR谱表征了它们的结构。     

凹资源配置问题的混合动态规划方法

Concave resource allocation problem is an integer programming problem of minimizing a nonincreasing concave function subject to a convex nondecreasing constraint and bounded integer variables. This class of problems are encountered in optimization models involving economies of scale. In this paper, a new hybrid dynamic programming method was proposed for solving concave resource allocation problems. A convex underestimating function was used to approximate the objective function and the resulting convex subproblem was solved with dynamic programming technique after transforming it into a 0-1 linear knapsack problem. To ensure the convergence, monotonicity and domain cut technique was employed to remove certain integer boxes and partition the revised domain into a union of integer boxes. Computational results were given to show the efficiency of the algorithm.     

测量金属比热容的新方法

设计了一种测量金属比热容的新方法,利用电阻丝产生的热能,使量热系统内待测金属块、搅拌器、内筒、蒸馏水等吸收热量,由于绝热系统所放出的热量等于系统内物质所吸收的热量,根据热平衡方程从而求出待测金属的比热容。将测量结果与标准值相比较,其相对误差较小。     

混合动力城市客车单一工况当量能耗评价方法

在我国现有的混合动力客车能耗评价方法——GB/T 19754-2005试验法的基础上,提出了一种新的评价方法——单一工况当量能耗评价方法。即依据客车怠速、匀速、加速、减速不同工况的不同比例分布,求出其不同的能量消耗,再进行各能量消耗叠加,则可求出其总的燃油消耗量。     

基于动态预测的有源电力滤波器选择性谐波补偿方法

提出一种基于参考电流动态预测的选择性补偿方法。通过滑窗迭代DFT法提取与参考电流相关的特定次谐波;把动态预测算法植入补偿电流控制环节,预测下一拍的指令电流信号,并引入误差修正器提高预测精度,在此基础上计算逆变器的参考电压矢量;利用空间矢量脉宽调制法获得PWM信号,驱动三相变流器从而输出三相电压,实现选择性补偿。仿真和实验证明了该方法的正确性和可行性。     

A hybrid point cloud alignment method combining particle swarm optimization and iterative closest point method

3D quality inspection is widely applied in many industrial fields including mould design, automotive and blade manufacturing, etc. A commonly used method is to obtain the point cloud of the inspected object and make a comparison between the point cloud and the corresponding CAD model or template. Thus, it is important to align the point cloud with the template first and foremost. Moreover, for the purpose of automatization of quality inspection, this alignment process is expected to be completed without manual interference. In this paper, we propose to combine the particle swarm optimization （PSO） with iterative closest point （ICP） algorithm to achieve the automated point cloud alignment. The combination of the two algorithms can achieve a balance between the alignment speed and accuracy, and avoid the local optimal caused by bad initial position of the point cloud.     

基于向量式混合质点单元薄壳非线性分析方法的膜材褶皱形变模拟研究

研究目的：建立一种适用于理想膜结构可进行高精度褶皱形变模拟的稳定可靠的数值分析技术及方法。创新要点：根据薄壳理论,在向量式混合质点单元方法（VFPEM）薄膜计算理论的基础上,引入弯曲内力分析模型并与其进行组合,发展了一种能够描述膜材面外变形的新型非线性薄壳计算理论,同时给出了将其应用于褶皱形变模拟的关键求解技术。研究方法：1．针对薄壳计算模型中的弯曲内力,利用移动基础架构和逆向刚体运动的概念扣除刚体转动,在只含有节点独立转动自由度的单元变形坐标系下根据虚功原理和平衡条件进行计算;2．借助于薄壳非线性屈曲模拟方法,引入合理的初始扰动作为诱发理想平面膜材中形成褶皱的有效机制;3．采用拟动力显式数值积分技术求解质点运动方程,通过追踪质点平衡位置来获得稳态的褶皱构形。重要结论：采用本文模型和方法可以模拟薄膜结构在面内荷载作用下褶皱的分布模式、具体构形信息及应力状态,计算过程不存在收敛性困难,结果准确。     

A hybrid neural network model for consciousness

A new framework for consciousness is introduced based upon traditional artificial neural network models. This framework reflects explicit connections between two parts of the brain: one global working memory and distributed modular cerebral networks relating to specific brain functions. Accordingly this framework is composed of three layers,physical mnemonic layer and abstract thinking layer,which cooperate together through a recognition layer to accomplish information storage and cognition using algorithms of how these interactions contribute to consciousness:(1)the reception process whereby cerebral subsystems group distributed signals into coherent object patterns;(2)the partial recognition process whereby patterns from particular subsystems are compared or stored as knowledge; and(3)the resonant learning process whereby global workspace stably adjusts its structure to adapt to patterns' changes. Using this framework,various sorts of human actions can be explained,leading to a general approach for analyzing brain functions.     

A hybrid neural network model for consciousness

INTRODUCTION The goal of understanding the brain and making artificial minds has propelled many scientificfields greatly. In a sense it may be the final goal othe whole science. It is impossible that one unifiedtheory will be sufficient for explaining the brain’functionality because of its unimaginable complexity. Multi-discipline combinations havebrought about so many achievements towards thigoal. Taylor (1994) introduced the “relationamind” approach in …     

基于Matlab的混合动力摩托车仿真研究

1　Introduction　Currently ,energyandenvironmentalpollutionhavebecomehottopics .Publicandprivatetransportsplayanimportantroleinourlife ,butitisreportedthatthe 70 %exhaustgas pollutionisfromvehiclesincities.TheglobalchallengeisthereductionofCO ,NOX,HCemissionsfromvehiclesbyimprovingfueleconomywithoutsacrificingthevehicleperformance .　Theelectricpropulsionsystemscancontributesig nificantlytotheloweringofthecurrentpollutionlev els.Onlyelectricandlow emissionshybridvehiclescanmeetthecriteriao…     

试论蛙泳浅深教学法

通过对初学游泳学员进行快速而简捷教学方法探讨,结合流体力学、生物力学、生理心理学方面知识及上课水域水位情况,总结浅深教学这一简单快捷蛙泳教学方法．每堂课合理进行浅深水交替教学,应根据学习任务、学员学习过程的实际水平,侧重浅水或深水,或浅、深水并重教学训练．