Application of novel rotation angular model for 3D mouse system based on MEMS accelerometers

A new scheme is proposed to model 3D angular motion of a revolving regular object with miniature, low-cost micro electro mechanical systems (MEMS) accelerometers (instead of gyroscope), which is employed in 3D mouse system. To sense 3D angular motion, the static property of MEMS accelerometer, sensitive to gravity acceleration, is exploited. With the three outputs of configured accelerometers, the proposed model is implemented to get the rotary motion of the rigid object. In order to validate the effectiveness of the proposed model, an input device is developed with the configuration of the scheme. Experimental results show that a simulated 3D cube can accurately track the rotation of the input device. The result indicates the feasibility and effectiveness of the proposed model in the 3D mouse system.     

Intelligent drug delivery system using UML diagrams analysis

A novel intelligent drug delivery system potential for the more effective therapy of the diabeticswas proposed, and the composition of system was analyzed. Based on the design of micro-electro-mechanicalsystems (MEMS), an iterative modeling process was introduced. Unified modeling language (UML) was em-ployed to describe the function requirement, and different diagrams were built up to explore the static model,the dynamic model and the employment model. The mapping analysis of different diagrams can simply verifythe consistency and completeness of the system model.     

基于层次分析法的隧道机电系统安全评价

通过对隧道机电系统运营状况的详细分析,从设备、管理及运营环境3个方面,选取17项对隧道机电系统安全运营影响较大的因素作为评价指标,运用层次分析法建立了隧道机电系统的安全评价指标体系,并用模糊综合评价方法建立了隧道机电系统的安全评价模型,提出一套科学的用于隧道机电系统安全评价的方法.将该模型运用到福建美菰林隧道机电系统的安全评价,通过对评价结果的分析验证了该模型的可行性与先进性.     

A vehicle traveling time prediction method based on grey theory and linear regression analysis

Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider both aspects of time and space. In this paper, a vehicle traveling time prediction method based on grey theory (GT) and linear regression analysis (LRA) is presented. In aspects of time, we use the history data sequence of bus speed on a certain road to predict the future bus speed on that road by GT. And in aspects of space, we calculate the traffic affecting factors between various roads by LRA. Using these factors we can predict the vehicle's speed at the lower road if the vehicle's speed at the current road is known. Finally we use time factor and space factor as the weighting factors of the two results predicted by GT and LRA respectively to find the fina0l result, thus calculating the vehicle's travehng time. The method also considers such factors as dwell time, thus making the prediction more accurate.     

舰船电力系统生命力评估研究

船舶电力系统生命力是评价舰船运行及战斗性能的重要指标.文中提出了一种考虑电气设备三维位置信息的生命力评估算法.该算法利用舱室坐标定义电气设备的三维空间位置,能够分析舰船在全方位打击下的停电损失后果,并考虑了电网重构恢复的优化分析以及设备容量限制的影响,按直接打击受损、永久停电、短时停电三种模式定义故障的后果严重度.通过实际算例的测试表明,该算法能够模拟任一位置的打击故障后果,并通过全船的统计结果,有效指示出船舶生命力指标的薄弱环节.     

基于浮动车交通信息采集的虚拟仪器设计

交通数据探测器由于其成本高、覆盖范围小等缺点,很难满足智能交通系统的需求,将虚拟仪器技术应用于浮动车系统可以基本上解决这一问题。介绍了虚拟仪器的概念和特点,并就应用于浮动车交通信息采集的虚拟仪器进行了设计。结果表明,虚拟仪器技术,尤其是与数据融合技术相结合的虚拟仪器技术,在智能交通系统中具有十分重要的作用和广阔的应用前景。     

Distribution system optimization planning based on plant growth simulation algorithm

An approach for the integrated optimization of the construction/expansion capacity of high-voltage/medium-voltage (HV/MV) substations and the configuration of MV radial distribution network was presented using plant growth simulation algorithm (PGSA). In the optimization process, fixed costs correspondent to the investment in lines and substations and the variable costs associated to the operation of the system were considered under the constraints of branch capacity, substation capacity and bus voltage. The optimization variables considerably reduce the dimension of variables and speed up the process of optimizing. The effectiveness of the proposed approach was tested by a distribution system planning.     

基于虚拟共用信息平台的智能交通安全信息系统

结合智能交通安全系统的某些观点,利用虚拟共用信息平台可以进行有效的数据通信、融合和集成的特点,提出了基于虚拟共用信息平台的智能交通安全信息系统的思想,重点介绍了该系统的系统构成和信息传输过程。     

基于虚拟仪器技术的液压系统故障快速检测系统设计

介绍基于虚拟仪器技术的液压系统故障快速检测系统的硬件组成和软件功能,系统采用集成负荷阀的传感器组进行参数检测,具有结构简单、连接操作方便、检测界面友好的特点,可以准确地测量液压系统的工作状态参数,诊断液压系统的常见故障。     

基于三角网数模的山区公路选线研究

三角网数模 (TIN)是一种目前公认的在工程设计中较为理想的数模 ,它可以在考虑地形碎部点密度的同时 ,兼顾考虑地形的特征点、线 ,从而提高了数字地形模型的应用精度 .笔者根据三角网数模的特点 ,提出了一种在三角网数字地形模型基础上进行山区公路选线的方法     

基于Web平台孤立性肺结节影像计算机辅助诊断的研究

目的构建基于Web文本层面的孤立性肺结节(SPN)计算机辅助系统,探讨计算机帮助医生对SPN性质进行辅助诊断的可能性及价值。方法系统硬件设备包括1台路由器、1台交换机、2台服务器以及若干计算机和其他外部设备。Web服务器采用的操作系统为Windows 2000 Server,Web服务程序为Web Logic 8.1。数据库服务器采用的操作系统为RedHat Linux9.0,数据库系统为Oracle9i for Linux,在J2EE架构下开发SPN辅助诊断系统。SPN辅助诊断系统包括病例上传子系统、辅助诊断子系统以及维护和管理子系统。结果将待诊的SPN临床及CT图像原始文字信息录入辅助诊断子系统,该诊断模型依据输入的SPN属性,自动访问诊断规则数据库并提取相应SPN诊断规则进行比对分析,其诊断结果以报告的形式出现,包括典型层面的CT图像和诊断意见两部分,诊断意见分为5个层次:恶性、可能恶性、良性、可能良性、不能确定,并附有可信度值。结论基于Web的SPN计算机辅助诊断系统构建的方法是可行的,该系统可以辅助医师对SPN的良恶性做出辅助诊断。     

基于GIS的道路交通信息系统研究

交通系统中,信息手段的有效运用能起到运输系统能量倍增器的作用。随着智能交通的发展,运用GIS技术,通过配置数据网络布局、建立道路网GIS空间数据库和地图要素属性数据库构建的道路交通信息系统,实现了交通信息的实时输入与输出及电子政务、安全监控等的应用。     

基于WPCA的港口用地调整交通影响评价

确定面向港口用地功能调整包括港区内、外两部分评价指标体系,采用灰色关联度确定指标的权重,建立基于加权主成分分析法的港口用地调整交通影响评价模型。在天津港的应用表明,该评价方法能把影响范围内的各项指标综合起来,最大限度地减少评价中的主观成分,为类似港口和物流园区规划建设提供了决策支持,验证了该方法的有效性。     

Multiple mental tasks classification based on nonlinear parameter of mean period using support vector machines

Mental tusk classification is one of the most important problems in Brain-computer interface. This paper studies the classification of five-class mental tusks. The nonlinear parameter of mean period obtained from frequency domain information was used as features for classification implemented by using the method of SVM （support vector machines）. The averaged classification accuracy of 85. 6% over 7 subjects was achieved for 2-second EEG segments. And the results for EEG segments of 0.5s and 5.0s compared favorably to those of Garrett＇s. The results indicate that the parameter of mean period represents mental tusks well for classification, Furthermore, the method of mean period is less computationally demanding, which indicates its potential use for online BCI systems.     

多普勒血流探测法评价心肺复苏时血流动力学效果的可行性研究

目的探讨用多普勒血流探测所测参数评价心肺复苏时血流动力学效果的可行性。方法健康杂种犬12只,采用电击致犬室颤的动物模型,心跳停止及复苏前后进行主动脉内压(AOP)、中心静脉压(CVP)、犬右颈总动脉多普勒血流参数的连续有创同步监测记录,从所测参数中筛选出与主动脉舒张压(ADP)、冠脉灌注压(CPP)关系密切的参数,分析两者的相关性。结果室颤前,犬右颈总动脉多普勒血流参数特征是:收缩期最大血流速度(Vs)为(85±25)cm/s,舒张期血流速度(Vd)为(27±15)cm/s;二者比值(S/D)为4.2±2.2;闭胸复苏时,Vs为(86±31)cm/s(P>0.05),Vd为(7.9±5.7)cm/s(P<0.001),S/D为14.2±6.5(P<0.001)。静脉注射肾上腺素后,Vd随着ADP、CPP的增大而增大,S/D随着ADP、CPP的增大而减小。直线相关分析显示,Vd与ADP相关系数为0.172(P>0.05);Vd与CPP相关系数为0.204(P>0.05);S/D与ADP相关系数为-0.109(P>0.05);S/D与CPP相关系数为-0.191(P>0.05)。尚不能认为Vd、S/D与ADP、CPP的相关性成立。结论多普勒血流参数中,Vd、S/D与ADP、CPP的关系密切,但其相关性尚不具有统计学意义。     

Comparison of several traffic forecasting methods based on travel time index data on weekends

Traffic forecasting provides the estimation of future traffic state to help traffic control,travel guide,etc. This paper compared several widely used traffic forecasting methods,and analyzed each one's performance in detail to make conclusions,which could redound to researchers choosing an appropriate traffic forecasting method in their own works. Compared with conventional works,this paper creatively assessed the performance of traffic forecasting methods based on travel time index (TTI) data prediction,wh...     

Optimization for PID controller of cryogenic ground support equipment based on cooperative random learning particle swarm optimization

Cryogenic ground support equipment (CGSE) is an important part of a famous particle physics experiment — AMS-02. In this paper a design method which optimizes PID parameters of CGSE control system via the particle swarm optimization (PSO) algorithm is presented. Firstly, an improved version of the original PSO, cooperative random learning particle swarm optimization (CRPSO), is put forward to enhance the performance of the conventional PSO. Secondly, the way of finding PID coefficient will be studied by using this algorithm. Finally, the experimental results and practical works demonstrate that the CRPSO-PID controller achieves a good performance.     

汽车防抱死制动系统试验研究

通过实例从试验方法、试验项目与结果、试验分析与结论等方面研究了ABS整车道路试验的相关问题。对上述实例进行综合检验的结果表明:该防抱死制动系统达到了国家相关标准规定的各项安全指标要求,顺利通过法定的认证检验。     

基于遗传算法的推进电机的预测模型

本文选择BP神经网络算法作为预测模型的算法,建立了基于遗传算法的推进电机预测模型,并运用推进变压器的实际运行参数,对预测模型进行仿真,为推进电机的状态评估打下了良好的基础。     

A New Multi-sensor Data Fusion Algorithm Based on EMD-MMSE

A new multi-sensor data fusion algorithm based on EMD-MMSE was proposed.Empirical mode decomposition(EMD)is used to extract the noise of every time series for estimating the variance of the noise.Then minimum mean square error(MMSE)estimator is used to calculate the weights of the corresponding series.Finally,the fused signal is the weighted addition of all these series.The experiments in lab testified the efficiency of this method.In addition,the comparison in fusion time and fusion results with existing fusion method based on wavelet and average technique shows the advantage of this method greatly.