Equal distance offset approach to representing and process planning for solid freeform fabrication of functionally graded materials

This paper deals with the representation and process planning for solid freeform fabrication (SFF) of 3D functionally graded material (FGM) objects. A novel approach of representation and process planning for SFF of FGM objects, termed as equal distance offset (EDO), is proposed. In EDO, a neutral arbitrary 3D CAD model is adaptively sliced into a series of 2D layers. Within each layer, 2D material gradients are designed and represented via dividing the 2D shape into several sub-regions enclosed by iso-composition contours. If needed, the material composition gradient within each of the sub-regions can be further specified by applying the equal distance offset algorithm to each sub-region. Using this approach, an arbitrary-shaped 3D FGM object with linear or non-linear composition gradients can be represented and fabricated via suitable SFF machines.     

复杂背景下跟踪多个非刚体运动目标的快速算法

在复杂背景下对多个非刚体运动目标进行跟踪是视频对象分割中的一个难点,为此提出了一种跟踪多个非刚体运动目标轮廓并提取精确视频对象平面(VOP)的半自动快速算法。手工获得初始模板后,利用边界投射模板、Canny算子和Hausdorff距离匹配算法,可快速、有效地自动跟踪多个非刚体的运动目标。此外还提出了一种新方法,较好地解决了被遮挡背景的显露问题,并能得到任意形状的闭合轮廓线,继而提取精确的VOP。该算法取得了较好的实验结果。     

光电混合联合变换相关器目标探测与识别

本文用电寻址液晶EALCD作为空间光调制器SLM，用计算机控制的EALCD并排显示参考信号和实时扫描的目标信号，并用面阵CCD作为平方律探测器记录其联合变换功率谱，通过光学傅立叶变换，输出相关信号，识别目标并确定目标在空间的方位。其特点是，由于用CCD探测功率谱，可以用各种数字处理技术提高系统的信噪比，并能更精确的探测和识别目标；采用光学傅立叶变换及光学相关探测使所有采样点并行处理，并以光速进行，提高了处理速度。     

不同大小目标的多尺度层次的分割

本文研究了图像在小波变换下的部分特性,对利用小波分析中的多尺度分析进行图像分割的方法进行了探讨。通过对目标众多的图像分割进行研究,提出了一种既能够将背景和目标分割开来,又能够将不同大小的目标区分开来的方法。     

航拍图像中运动车辆的检测与定位

提出了一种利用Huber函数和均匀稀疏采样估计仿射变换参数的方法，更加准确快速地进行背景运动补偿,为了克服噪声和和伪运动区域对运动目标定位的干扰，利用形态学滤波方法去除法照变化带来的伪运动区域及噪声。最后，采用仿射运动矢量聚类方法对运动目标进一步可靠定位，结合这3种方法，可以对航拍图像序列中的运动目标快速准确地检测与定位。     

Fuzzy points: algebra and application

A fuzzy point is a region representing the uncertain location of a normal Euclidean point. A fuzzy point in the plane is considered to be a closed disk (a circle and its interior). The algebra of fuzzy points (which includes fuzzy vectors and fuzzy angles) is presented. Since fuzzy points are represented as closed disks, the lengths of fuzzy vectors, and the angles between fuzzy vectors can be viewed as properties of circles in the plane. Methods to compute the magnitude of a fuzzy angle are given. An application of fuzzy point algebra to the problem of detecting and tracking storms in Doppler radar image sequences, which motivates this work, is discussed.     

MD-SIR: a methodology for developing sensor—guided industry robots

In this paper, we present a generic methodology for the synthesis of industrial robot applications with sensory feedback at the end-effector level. The presented methodology assumes an open controller architecture and leads to the creation of a library of modular and reusable entities, which can be used to build new systems based on the proposed architectural framework. The library facilitates the integration of new algorithms and it evolves as new modular applications are built. The library components belong to the control objects layer of the open controller architecture and implement functionality for sensor interfacing, sensor modeling, pattern recognition, state estimation and state regulation. The validity of the approach is verified by composing real industrial applications. The experimental results indicate the high quality of the developed systems.     

Detection, Tracking and Avoidance of Multiple Dynamic Objects

Real-time motion planning in an unknown environment involves collision avoidance of static as well as moving agents. Strategies suitable for navigation in a stationary environment cannot be translated as strategies per se for dynamic environments. In a purely stationary environment all that the sensor can detect can only be a static object is assumed implicitly. In a mixed environment such an assumption is no longer valid. For efficient collision avoidance identification of the attribute of the detected object as static or dynamic is probably inevitable. Presented here are two novel schemes for perceiving the presence of dynamic objects in the robot's neighborhood. One of them, called the Model-Based Approach (MBA) detects motion by observing changes in the features of the environment represented on a map. The other CBA (cluster-based approach) partitions the contents of the environment into clusters representative of the objects. Inspecting the characteristics of the partitioned clusters reveals the presence of dynamic agents. The extracted dynamic objects are tracked in consequent samples of the environment through a straightforward nearest neighbor rule based on the Euclidean metric. A distributed fuzzy controller avoids the tracked dynamic objects through direction and velocity control of the mobile robot. The collision avoidance scheme is extended to overcome multiple dynamic objects through a priority based averaging technique (PBA). Indicating the need for additional rules apart from the PBA to overcome conflicting decisions while tackling multiple dynamic objects can be considered as another contribution of this effort. The method has been tested through simulations by navigating a sensor-based mobile robot amidst multiple dynamic objects and its efficacy established.     

住宅小区物业管理信息系统设计

应用软件工程的方法，以Delphi作为客户开发平台，使用SQL SERVER数据库语言，开发了在局域网（LAN）上运行的住宅小区物业管理信息系统。