业务过程管理中基于组织和角色语义的访问控制

针对现有业务过程访问控制方法不能充分满足业务过程管理（BPM）实际需求的问题,首先分析了基于角色的访问控制（RBAC）和基于任务的访问控制（TBAC）等方法的不足;然后提出了一种基于组织结构和角色语义的访问控制（OR-SBAC）模型和方法,并采用形式化方法描述了OR-SBAC模型及其部件;最后给出了OR-SBAC的应用案例．OR-SBAC进一步划分了角色和受控主体,使用企业的组织结构进行用户与角色间的关联,在角色授权过程中通过角色适配器,基于一阶谓词逻辑进行角色语义推理,并考虑了时间和空间上下文等问题．OR-SBAC方法的描述能力强,权限分配效率高,能够满足业务过程管理中访问控制的复杂性、多样性和灵活性等方面的需求．     

基于MPI的FDTD并行算法及其优化策略

由高性能PC机通过网络互联构成的集群(COW)并行计算系统上应用基于消息传递(Message Passing)的方式实现FDTD的并行算法,获得了足够的加速比,有效地解决了传统的FDTD方法计算电大尺寸目标电磁散射问题时的不足.通过区域分割,各个子区域在边界处与其相邻的子区域进行场值的数据传递,从而实现了FDTD算法的并行化.利用并行FDTD方法研究了电磁波的介质层的散射,结果表明并行算法和串行计算结果的一致性,并有效提高计算效率.最后还给出了对算法进行通信隐藏的优化方法,进一步提高了并行计算的效率.     

基于图像检测的发动机缸体探伤系统设计及应用

为了实现某型号航空发动机缸体的自动化检测,设计了一套全自动荧光磁粉探伤系统。介绍了系统的结构和实现方式、重点介绍了图像采集和图像处理部分,系统采用Laplacian算子对原始图像进行锐化处理,然后采用Prewitt算子进行边缘提取,最后采用面积和周长两个物理量作为判断产品合格与否的特征值;实际测量显示,系统的测量精度可达0.01 mm,满足发动机缸体检测的要求。     

基于总线技术的网络智能传感器研究

针对当前工业领域中传感器小型化、智能化和网络化的发展趋势,在分析网络化智能传感器特点的基础上,开发了一种基于CAN总线的网络化智能传感器节点,详细论述了系统的硬件和软件设计,其中软件分别介绍了总线通讯模块和温度补偿模块。最后,通过三个传感器节点试验验证,该网络化智能传感器测量精度明显提高,克服了传统传感器在精确测量、数字化和组网等方面的不足,可以在工业领域推广和应用。其研究方法和技术还可推广到其它传感器应用系统中。     

Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems

The capacitated arc routing problem (CARP) has attracted much attention during the last few years due to its wide applications in real life. Since CARP is NP-hard and exact methods are only applicable to small instances, heuristic and metaheuristic methods are widely adopted when solving CARP. In this paper, we propose a memetic algorithm, namely memetic algorithm with extended neighborhood search (MAENS), for CARP. MAENS is distinct from existing approaches in the utilization of a novel local search operator, namely Merge-Split (MS). The MS operator is capable of searching using large step sizes, and thus has the potential to search the solution space more efficiently and is less likely to be trapped in local optima. Experimental results show that MAENS is superior to a number of state-of-the-art algorithms, and the advanced performance of MAENS is mainly due to the MS operator. The application of the MS operator is not limited to MAENS. It can be easily generalized to other approaches.     

Analysis of kinematics/statics and workspace of a 2(SP+SPR+SPU) serial–parallel manipulator

The kinematics/statics and workspace of a 2(SP+SPR+SPU) serial–parallel manipulator are studied systematically. First, a 2(SP+SPR+SPU) manipulator including an upper and a lower SP+SPR+SPU parallel manipulators is constructed, and the inverse/forward displacements, velocity, acceleration and statics of the lower/upper parallel manipulators are studied, respectively. Second, the kinematics and statics of the lower/upper manipulators are combined and the displacement, velocity, acceleration, statics, and workspace of a 2(SP+SPR+SPU) manipulator are analyzed systematically. Third, the analytic solutions’ examples are given and verified by the simulation mechanism. This manipulator has some potential applications for the robot’s arm, leg, and twist, the serial–parallel machine tools, the sensor, the surgical manipulator, the tunnel borer, the barbette of warship, and the satellite surveillance platform.     

Design and analysis of a self-tuning feedback controller for the Internet

Active queue management (AQM) is an effective method used in Internet routers for congestion avoidance, and to achieve a tradeoff between link utilization and delay. The de facto standard, the random early detection (RED) AQM scheme, and most of its variants use average queue length as a congestion indicator to trigger packet dropping. This paper proposes a novel packet dropping scheme, called self-tuning proportional and integral RED (SPI-RED), as an extension of RED. SPI-RED is based on a self-tuning proportional and Integral feedback controller, which considers not only the average queue length at the current time point, but also the past queue lengths during a round-trip time to smooth the impact caused by short-lived traffic dynamics. Furthermore, we give theoretical analysis of the system stability and give guidelines for selection of feedback gains for the TCP/RED system to stabilize the average queue length at a desirable level. The proposed method can also be applied to the other variants of RED. Extensive simulations have been conducted with ns2. The simulation results have demonstrated that the proposed SPI-RED algorithm outperforms the existing AQM schemes in terms of drop probability and stability.     

Kinematic Modeling and Analysis of Skid-Steered Mobile Robots With Applications to Low-Cost Inertial-Measurement-Unit-Based Motion Estimation

Skid-steered mobile robots are widely used because of their simple mechanism and high reliability. Understanding the kinematics and dynamics of such a robotic platform is, however, challenging due to the complex wheel/ground interactions and kinematic constraints. In this paper, we develop a kinematic modeling scheme to analyze the skid-steered mobile robot. Based on the analysis of the kinematics of the skid-steered mobile robot, we reveal the underlying geometric and kinematic relationships between the wheel slips and locations of the instantaneous rotation centers. As an application example, we also present how to utilize the modeling and analysis for robot positioning and wheel slip estimation using only low-cost strapdown inertial measurement units. The robot positioning and wheel slip-estimation scheme is based on an extended Kalman filter (EKF) design that incorporates the kinematic constraints for accuracy enhancement. The performance of the EKF-based positioning and wheel slip-estimation scheme are also presented. The estimation methodology is tested and validated experimentally on a robotic test bed.     

A research on social network-based personalized semantic retrieval model

Personalized semantic retrieval extends the query process and optimizes query results by mapping user preference of information to ontology. It can fetch different results according to the same queries from different users. This paper proposes a personalized semantic retrieval model based on social network. It implements the organization, presentation, acquisition and maintenance of user preference data. Finally, it uses these personalization data in the process of information retrieval.     

新建地方本科院校计算机专业人才培养模式研究

新建地方本科院校应适应经济建设和社会发展对人才培养的要求。针对计算机专业人才培养过程中存在的问题和新建地方本科院校自身的特点,阐述了产学研合作是培养计算机专业应用型人才的重要途径,分析了新建地方本科院校产学研合作中存在的问题,探讨了新建地方本科院校计算机专业开展产学研合作教育的有效方式。