A visual tool for computer supported learning: The robot motion planning example

We introduce an effective computer aided learning visual tool (CALVT) to teach graph-based applications. We present the robot motion planning problem as an example of such applications. The proposed tool can be used to simulate and/or further to implement practical systems in different areas of computer science such as graphics, computational geometry, robotics and networking. In the robot motion planning example, CALVT enables users to setup the working environment by creating obstacles and a robot of different shapes, specifying starting and goal positions, and setting other path or environment parameters from a user-friendly interface. The path planning system involves several phases. Each of these modules is complex and therefore we provide the possibility of visualizing graphically the output of each phase. Based on our experience, this tool has been an effective one in classroom teaching. It not only cuts down, significantly, on the instructor’s time and effort but also motivates senior/graduate students to pursue work in this specific area of research.     

Characterizing Performance Variation of Product Designs

Quality and reliability design practitioners have utilized Taguchi's methodology of matrix experimentation to generate computer simulation data for characterizing performance variation of product designs. However, the sampling strategy employed renders computer implementation of matrix experimentation cumbersome and statistically invalid. Weaknesses of this approach also include sample size limitation and overestimation of performance variation. An alternative approach that combines Monte Carlo simulation with the strategies of independent sampling across runs and correlated sampling between runs is presented. An application case study shows that the proposed approach constitutes an improvement on the matrix approach with respect to statistical validity and estimation accuracy.     

游艇概念设计方法与技术研究

针对游艇的概念设计方法与技术展开研究,从创意设计思维层面入手,建立了游艇设计概念引入、意象及内涵深化的设计创意库,包括海洋生物库、东方文化符号库、其它类产品创意库等三大类;分析了游艇概念设计从抽象到具体的过程,提出了游艇创意概念设计的底影套模法;探讨了游艇设计的参数化、模块化实现技术。     

有源电光调制式高功率瞬态电场传感器的研制

瞬态电场防护及应用技术的研究离不开瞬态电场测试系统;文中基于有源电光调制法,研制了一种高功率瞬态电场传感器;通过建立该传感器的等效电路模型,并借助CST仿真建模,分别从频域和时域角度分析了传感器的接收特性,并得到了一致的结果;最后利用脉冲噪声模拟器和吉赫兹横电磁波小室对研制的传感器性能进行了测试;结果表明:接收天线为单极子天线,天线负载采用高阻时响应电压与被测电场场强成正比;研制的传感器带宽为10kHz～314MHz,可用于纳秒级高功率瞬态电场的时域测试。     

基于RLS-DLUKF算法的锂电池SOC预测方法研究

本工作以钴酸电池为研究对象,针对锂电池在复杂工况下电流的剧烈变化导致荷电状态(SOC)无法有效预测的问题,建立了以精确参数为基础的双层无迹卡尔曼滤波算法(DLUKF)架构来更精准的估算SOC.首先,以脉冲功率特性实验数据获取二阶电路模型中电池开路电压与荷电状态的函数关系及特性曲线;其次,为增强模型辨识过程中的自适应学习能力并解决模型参数估计不准确的问题,应用递推最小二乘(RLS)算法在线准确地识别出模型中的未知变量;最后根据输入的变量信息,利用UKF算法相互嵌套形成的DLUKF算法实现对SOC的快速预测来解决单一的UKF算法在高阶非线性系统里估算不准确、精度低的问题.在UDDS工况和FUDS工况下对DLUKF算法和单一的UKF算法进行比较,通过对比分析两种算法估计出的SOC曲线、SOC误差曲线、端电压曲线及端电压误差曲线,表明DLUKF算法预测SOC的平均误差比UKF的低且预测精度更高.     

基于均衡接近度灰关联的Slope One算法

作为一种基于项目的协同过滤推荐算法,Slope One算法易于实现且高效。但由于Slope One算法未考虑用户相似性,导致其在处理涉及用户关系的个性化推荐任务时性能不高。针对以上问题,提出了改进的Slope One算法。提出一种均衡接近度灰关联分析方法计算用户之间的均衡接近度,利用均衡接近度度量用户间的相似程度,然后将均衡接近度值融入到Slope One算法中进行评分预测,在MovieLens和Epinions数据集下的对比实验表明,该算法具有更低的平均绝对误差（MAE）和均方根误差（RMSE）,提高了预测的准确度和推荐质量。     

砂性土坡面防护结构抗降雨冲刷性能试验研究

针对砂性土堤防坡面抗雨水冲刷能力弱的工程实际,建立砂性土坡面冲刷试验模型,开展降雨冲刷试验,研究不同砂性土堤防坡面保护层抗冲刷性能。分析降雨条件下不同砂性土堤防坡面保护层的冲刷过程,总结出沙土、膨润土与秸秆三者混合形成的坡面保护层能够抵抗雨水冲刷、保障植物种子顺利成长,便于施工。     

基于LabVIEW的显微镜自动控制设计

为方便CCD相机采集显微镜下的图像,对显微镜的控制进行了研究;设计了一种实现显微镜自动控制的方法;利用THB6128芯片驱动步进电机实现焦距的电控调节,利用PT4115芯片控制LED灯实现照明灯光亮暗的调节,基于LabVIEW虚拟仪器平台开发主控制程序搭建外围硬件,实现显微镜的自动控制;实验证明,上位机运用程序通过串口进行数据通信向下位机发送指令,通过调节LED灯的亮暗以及步进电机转动带动载物台的上下移动,实现了在一个合适的光照和焦距下获取清晰的图像;使显微镜控制更加的简化与精确,便于图像的采集。     

A Hybrid Strategy-Based Ultra-Narrow Stretchable Microelectrodes with Cell-Level Resolution

Stretchable ultra-narrow (e.g., 10 µm in width) microelectrodes are crucial for the electrophysiological monitoring of single cells providing the fundamental understanding to the working mechanism of neuro network or other electrically functional cells. Current fabrication strategies either focus on the preparation of normal stretchable electrodes with hundreds of micrometers or millimeters in width by using inorganic conductive materials or develop conductive organic polymer gel for ultra-narrow electrodes which suffer from low stretchability and instability for long-term implantation, therefore, it is still highly desirable to explore bio-interfacial ultra-narrow stretchable inorganic electrodes. Herein, a hybrid strategy is reported to prepare ultra-narrow multi-channel stretchable microelectrodes without using photolithography or laser-assisting etching. A 10 µm × 10 µm monitoring window is fabricated with enhanced interfacial impedance by the special rough surface. The stretchability achieves to 120% for this 10 µm-width stretchable electrode. Supported by these superior properties, it is demonstrated that the stretchable microelectrodes can detect electrophysiological signals of single cells in vitro and collect electrophysiological signals more precisely in vivo. The reported strategy will open up the accessible preparation of the fine-size stretchable microelectrode. It will significantly improve the resolution of monitoring and stimulation of inorganic stretchable electrodes.