人体步行规律与仿人机器人步态规划

从仿生学角度分析了人体的步行运动规律,提出了一种基于人体运动规律的仿人机器人步态参数设定方法.首先对人体步行运动数据进行捕捉并分析,得出人体各步态参数间的函数关系,以人体步行相似性作为评价指标,提出仿人机器人步态参数的设定方法.其次,通过分析人体在步行过程中的补偿支撑脚偏航力矩的基本原理,提出了基于双臂及腰关节协调运动的仿人机器人偏航力矩补偿算法,以提高仿人机器人行走的稳定性.最后通过仿真及实验验证了所提出的步态规划方法的正确性及有效性.     

Localized relaxation theory of circuits and its applications in electro-thermal analyses

In the high-performance IC design with increasing design complexity,it is a very important design content to efficiently analyze IC parameters.Thus,the electro-thermal (ET) analyses including power/ground (P/G) analysis and thermal analysis are hot topics in today’s IC research.Since ET analysis equation has a sparse,positive definite and strictly diagonally dominant coefficient-matrix,we prove that the ET analysis has the advantage of locality.Owing to this advantage,localized relaxation method is formally proposed,which has the same accuracy as the global relaxation done with the constraint of the same truncation error limitation.Based on the localized relaxation theory,an efficient and practical localized successive over-relaxation algorithm (LSOR2) is introduced and applied to solve the following three ET analysis problems.(1) Single-node statistical voltage analysis for over-IR-drop nodes in P/G networks;(2) single-node statistical temperature analysis for hot spots in 3D thermal analysis;(3) fast single open-defect analysis for P/G networks.A large amount of experimental data demonstrates that compared with the global successive over-relaxation (SOR) algorithm,LSOR2 can speed up 1-2 orders of magnitudes with the same accuracy in ET analyses.     

IT投资风险预警的研究

进行IT投资风险预警的基础是对IT投资风险域进行分析;文章提出了基于IT投资目标、信息化生命周期以及企业架构的IT投资风险域的三维框架,并引入贝叶斯网络的原理建立预警机制。最后,在此基础上进行了IT投资风险预警的案例分析。     

Negative effects of sufficiently small initial weights on back-propagation neural networks

In the training of feedforward neural networks,it is usually suggested that the initial weights should be small in magnitude in order to prevent premature saturation.The aim of this paper is to point out the other side of the story:In some cases,the gradient of the error functions is zero not only for infinitely large weights but also for zero weights.Slow convergence in the beginning of the training procedure is often the result of sufficiently small initial weights.Therefore,we suggest that,in these cases,the initial values of the weights should be neither too large,nor too small.For instance,a typical range of choices of the initial weights might be something like(0.4,0.1) ∪(0.1,0.4),rather than(0.1,0.1) as suggested by the usual strategy.Our theory that medium size weights should be used has also been extended to a few commonly used transfer functions and error functions.Numerical experiments are carried out to support our theoretical findings.     

PACS系统架构与数字化医院建设

随着我国科技的快速发展和对医院制度的改革,越来越多的新科技引进到医院管理中,医院逐渐步入数字化管理。将PACS系统新型技术应用到医院中,使得医院信息化建设由以病人费用为中心的收费信息,转变为以病人信息为中心的临床信息,全面地解决了医院数字化存档及通信问题,提升了医院信息化管理层次。文章对PACS系统在数字化医院中的建设,首先对PASC系统的发展做出了介绍,然后详细地阐述了PACS系统的设计,最后对我国的数字化医院建设中PACS的应用进行了分析。     

物联阿技术在电梯监测报警管理系统中的应用

本文首先对当前城市电梯运营状况作了分析,然后对利用物联网技术监测与管理电梯的必要性进行了探讨。介绍了物联网技术在城市电梯监测报警管理系统中的应用原理,重点描述了无线监测终端的设计和功能。     

双轴应变下GaN有效质量的计算及其对迁移率的影响

通过计算双轴应变下氮化镓的电子能带结构,给出了GaN有效质量与应变的变化关系。在弛豫时间近似的条件下,这种关系决定了双轴应变AlGaN/GaN中二维电子气(2DEG)的迁移率的改变。在其他物理参量不变的情况下,这种二维电子气迁移率将随着张应变的增加而增加,并随着压应变的增加而减小。计算结果表明,张应变对2DEG迁移率的影响要比压应变大。此外,GaN有效质量的变化在低温时对迁移率的作用更明显。而在低温低浓度的条件下,迁移率却对有效质量的依赖很小。     

储能设备获最大功率的改进型光伏充电系统设计

针对光伏充电系统中能量利用率不高的问题,给出了改进型光伏充电系统的硬件及软件系统的设计方法。该系统基于低功耗单片机MSP430F1611,利用扰动观察法,通过控制数字电位器来间接调节MPPT变换器的输出电压,从而光伏电池功率与MPPT变换器效率在比值最优的情况下,可使得储能设备获得最大功率。经过仿真验证,该方法可以达到预期的效果,储能设备在同等条件下能获得更多的电能。     

A group priority earliest deadline first scheduling algorithm

In most priority scheduling algorithms, the number of priority levels is assumed to be unlimited. However, if a task set requires more priority levels than the system can support, several jobs must in practice be assigned the same priority level. To solve this problem, a novel group priority earliest deadline first (GPEDF) scheduling algorithm is presented. In this algorithm, a schedulability test is given to form a job group, in which the jobs can arbitrarily change their order without reducing the schedulability. We consider jobs in the group having the same priority level and use shortest job first (SJF) to schedule the jobs in the group to improve the performance of the system. Compared with earliest deadline first (EDF), best effort (BE), and group-EDF (gEDF), simulation results show that the new algorithm exhibits the least switching, the shortest average response time, and the fewest required priority levels. It also has a higher success ratio than both EDF and gEDF.