宜春市状元洲抬水工程设计浅析

以江西省宜春市状元洲抬水工程为实例,探讨了橡胶坝及升卧式闸门在抬水工程中的设计及应用.     

A Robust Controller for A 3‐DOF Flexible Robot with a Time Variant Payload

This article describes a new control scheme designed for a three degree of freedom (3‐DOF) flexible robot. The control scheme consists of two multi variable control loops. The inner loop is the motor's position control system, while the outer loop controls the robot tip's position, thus canceling vibrations which are originated by the structural flexibility of the manipulator during movement. As it will be shown, the outer control loop is robust to payload variations. The outer loop performance is based on a perfect cancelation of the inner loop dynamics. The effects of not achieving such perfect cancelation are also studied, and rules for designing a robust controller in this case are developed. Simulations assuming different payloads have been carried out with successful results for trajectory tracking. Trajectory tracking with a variable payload is also achieved.     

基于“项目驱动法”的数字电路课程教学的探索与实践

针对课程教学中普遍存在的问题,结合多年的教学与科研经验,提出以学生为中心,以《数字电路》应用能力为核心,将项目驱动法引入课程教学的全过程。实践证明,此方法切实可行,效果显著。     

《GIS软件工程》实验模式研究

GIS软件工程实验是《GIS软件工程》教学过程中的重要环节,分析《GIS软件工程》的特点,结合在教学实验过程中具体的问题,提出基于柔性案例的GIS软件工程实验模式,并从柔性案例的选择、柔点的选择设置方法、实验过程等方面,分别展开描述,对实验实施中的优缺点进行总结。     

基于机器视觉的液晶基板表面缺陷检测系统

介绍一种基于机器视觉的液晶玻璃基板质量在线检测系统。利用分布式视觉处理技术、采用模块化的图像处理系统设计,能够实现缺陷的精确提取与对缺陷的智能分类和分级,满足LCD液晶玻璃基板质量在线检测的需要。     

灵活QinQ技术在校园网中的设计与实现

高校校园网普遍存在IP盗用、IP冲突、二层广播严重等问题,且一直没有一个较为完善的解决方法。中国矿业大学校园网采用灵活QinQ+DHCP网络模式,通过BRAS建立双层标签,DHCP自动分配IP,交换机端口二层隔离,创造性的解决了这一长期困扰我们的问题。     

A two-stage hardware scheduler combining greedy and optimal scheduling

Greedy scheduling heuristics provide a low complexity and scalable albeit particularly sub-optimal strategy for hardware-based crossbar schedulers. In contrast, the maximum matching algorithm for Bipartite graphs can be used to provide optimal scheduling for crossbar-based interconnection networks with a significant complexity and scalability cost. In this paper, we show how maximum matching can be reformulated in terms of Boolean operations rather than the more traditional formulations. By leveraging the inherent parallelism available in custom hardware design, we reformulate maximum matching in terms of Boolean operations rather than matrix computations and introduce three maximum matching implementations in hardware. Specifically, we examine a Pure Logic Scheduler with three dimensions of parallelism, a Matrix Scheduler with two dimensions of parallelism and a Vector Scheduler with one dimension of parallelism. These designs reduce the algorithmic complexity for an N×N$N\times N$ network from O(N³)$O\left(N^3\right)$ to O(1)$O\left(1\right)$, O(K)$O\left(K\right)$, and O(KN)$O\left(KN\right)$, respectively, where K$K$ is the number of optimization steps. While an optimal scheduling algorithm requires K=2N−1$K=2N-1$ steps, by starting with our hardware-based greedy strategy to generate an initial schedule, our simulation results show that the maximum matching scheduler can achieve 99% of the optimal schedule when K=9$K=9$. We examine hardware and time complexity of these architectures for crossbar sizes of up to N=1024$N=1024$. Using FPGA synthesis results, we show that a greedy schedule for crossbars, ranging from 8×8 to 256×256, can be optimized in less than 20 ns per optimization step. For crossbars reaching 1024×1024 the scheduling can be completed in approximately 10 μs with current technology and could reach under 90 ns with future technologies.     

Optimal job sequence determination and operation machine allocation in flexible manufacturing systems: an approach using adaptive hierarchical ant colony algorithm

In this paper, an Adaptive Hierarchical Ant Colony Optimization (AHACO) has been proposed to resolve the traditional machine loading problem in Flexible Manufacturing Systems (FMS). Machine loading is one of the most important issues that is interlinked with the efficiency and utilization of FMS. The machine loading problem is formulated in order to minimize the system unbalance and maximize the throughput, considering the job sequencing, optional machines and technological constraints. The performance of proposed AHACO has been tested over a number of benchmark problems taken from the literature. Computational results indicate that the proposed algorithm is more effective and produces promising results as compared to the existing solution methodologies in the literature. The evaluation and comparison of system efficiency and system utilization justifies the supremacy of the algorithm. Further, results obtained from the proposed algorithm have been compared with well known random search algorithm viz. genetic algorithm, simulated annealing, artificial Immune system, simple ant colony optimization, tabu search etc. In addition, the algorithm has been tested over a randomly generated problem set of varying complexities; the results validate the robustness and scalability of the algorithm utilizing the concepts of ‘heuristic gap’ and ANOVA analysis.     

基于元数据的柔性信息系统建模与实现

介绍数据柔性、数据柔性分析等相关概念。通过引入元数据,提出并建立数据柔性的层次模型和柔性数据的访问模型,以解决用户数据结构如何适应转化的关键问题。在数据柔性分析与建模中,提出以元数据为核心的软件设计方法,并将该方法和所建立的数据柔性理论应用于柔性软件信息系统的开发和软件工程实践中。     

基于ASP．NET的《数字电路》教学网站的设计与研究

该文设计的《数字电路》课程教学网站采用了目前流行的．NET技术,在网站中引入了WebServices、XML等具有良好扩展性的技术。页面布局采用DIV＋CSS,利用ADO．NET访问数据库。网站教学内容利用flash技术建立虚拟实验室,模拟实际实验环境。该网站适应现代教育的需要,对教师的教学改革及促进学生的自主学习有积极的意义。