Study on Robot Path Planning Based on an Improved Artificial Potential Field Method

The method of artificial potential field has obvious advantages among the robot path planning methods including simple structure, small amount of calculation and relatively mature in theory. This paper puts forward the ＂Integral method＂ focusing on solving the problem of local minimization. The method analyses the distribution of obstructions in a given environment and regards adjacent obstacles as a whole, By changing the parameters of the repulsive force field, robots can quickly get out of the minimum point and move to the target point. This paper uses the Simurosot platform to carry on the simulation experiment on the improved artificial potential field method, which projects a feasible path successfully and verifies this method.     

RFID与影像地图技术在光缆线路维护管理中的应用

通过对光缆线路维护管理现状的分析,探讨了实现光缆线路维护管理信息化的技术和方法,对其中的SOA架构、RIA技术和地理信息系统的应用做了详细的论述．同时也对光缆线路维护管理信息系统设计与实现中的RFID设备信息自动读取方法、影像地图技术实现做了具体的描述。     

强腐蚀环境下锚索强度指标及表观特性试验研究

利用自行制做的试验装置,以配制出的强腐蚀环境土为介质,对非预应力锚索和预应力锚索的裸筋以及对有注浆缺陷的锚索试件进行了腐蚀试验,从外观腐蚀状况和腐蚀后的钢绞线力学性能的改变特性进行了研究.结果表明:从外观上看,预应力锚索试件的腐蚀程度总体上比非预应力试件的腐蚀程度要重,含注浆缺陷的锚索试件的腐蚀程度比裸筋的腐蚀程度要重...     

海上地震拖缆自动定深器建模及仿真研究

本文首先对自行研制的海上地震拖缆自动定深器建立了较为详细的数学模型,给出了其传递函数模型,然后在Matlab环境下,利用仿真工具Simulink和控制系统工具箱（ControlSystemToolbox）中的SISO工具设计了经典控制器,并且对该系统进行了仿真分析,仿真结果表明：利用本文所设计的控制器,该系统具有较好的动态特性。     

反馈控制采集的双模式折反射全景成像处理系统

为解决折反射全景成像系统中的采样分辨率与帧速之间的矛盾,通过反馈控制图像传感器的参数配置,设计并实现了一个全局与局部双模式的全景成像处理系统.在全局模式下,为保证采集帧速率,使用行列跳跃模式采集完整的环状全向图,并将其展开为包含360°全局信息的柱面全景图像;在局部模式下,根据感兴趣区域的空间位置设置采样窗口大小及位置,以逐像素采样模式只采集全向图中相应的一块矩形区域,并将其展开为对应视线方向上高清晰度的局部透视图;最后给出了DSP+FPGA结构的系统硬件设计方案.实验结果表明了该系统设计的科学性及实用性.     

浅谈计算机网络与数据通信的发展

计算机网络与数据通信,给人们的生产生活提供了极多的便利和帮助;已成为信息技术和电信技术的主要发展方向之一。本文简单回顾了计算机网络与数据通信发展的历史,着重分析了其现状,并展望了未来的发展趋势。     

试谈光缆通信的应用和发展

光纤通信因其具有损耗低、传输频带宽、容量大、体积小、重量轻、抗电磁干扰、不易串音等优点,备受业内人士青睐,发展非常迅速。目前,光纤光缆已经进入了有线通信的各个领域,包括教育卫生、邮电通信、广播通信、电力通信、石油通信和军用通信等领域。在此主要讲述我国光缆通信在网络中的应用。     

基于ANSYS软件分析的磁通量传感器设计

设计用于在线监测的磁通量传感器,通过分析传感器磁路用磁导法计算磁通量传感器的具体参数。由ANSYS仿真软件建立磁通量传感器的模型。选用通用标示法（GSP）通过求解器对模型进行运算,模拟磁通量传感器的磁场分布,得到缆索中磁通量分布图以及相关数据。根据仿真结果对套筒式磁通量传感器和单旁路式磁通量传感器作出对比分析,并研究缆索外层护套对缆索导磁效果的影响。     

将局部二进制模式应用于动态纹理识别的新方法

动态纹理的处理、描述与识别是纹理分析的热门领域。动态纹理是对普通纹理在时间域方面的扩展,包括动态特征和静态特征。基于LBP算法的扩展提出的VLBP算法较好的描述了动态纹理特征,但是计算量过大,模板过多。本文提出了一种由VLBP算法改进的基于局部二进制运动模式的特征提取方法用以动态纹理的描述和识别,它包括提取动态特征和提取静态特征两部分。将LBP算子做为块匹配准则提取局部二进制运动模式柱状图做为动态特征的描述,提取LBP柱状图做为静态特征的描述,并将二者连接得出描述动态纹理特征的联合的局部二进制运动模式柱状图。通过对DynTex集实验的结果表明,本文提出的方法在性能和识别率方面均要优于VLBP。     

Multi-strategy ensemble particle swarm optimization for dynamic optimization

Optimization in dynamic environments is important in real-world applications, which requires the optimization algorithms to be able to find and track the changing optimum efficiently over time. Among various algorithms for dynamic optimization, particle swarm optimization algorithms (PSOs) are attracting more and more attentions in recent years, due to their ability of keeping good balance between convergence and diversity maintenance. To tackle the challenges of dynamic optimization, several strategies have been proposed to enhance the performance of PSO, and have gained success on various dynamic optimization problems. But there still exist some issues in dynamic optimization which need to be studied carefully, i.e. the robustness of the algorithm to problems of various dynamic features. In this paper, a new multi-strategy ensemble particle swarm optimization (MEPSO) for dynamic optimization is proposed. In MEPSO, all particles are divided into two parts, denoted as part I and part II, respectively. Two new strategies, Gaussian local search and differential mutation, are introduced into these two parts, respectively. Experimental analyses reveal that the mechanisms used in part I can enhance the convergence ability of the algorithm, while mechanisms used in part II can extend the searching area of the particle population to avoid being trapped into the local optimum, and can enhance the ability of catching up with the changing optimum in dynamic environments. The whole algorithm has few parameters that need to be tuned, and all of them are not sensitive to problems. We compared MEPSO with other PSOs, including MQSO, PHPSO and Standard PSO with re-initialization, on moving peaks Benchmark and dynamic Rastrigin function. The experimental results show that MEPSO has pretty good performance on almost all testing problems adopted in this paper, and outperforms other algorithms when the dynamic environment is unimodal and changes severely, or has a great number of local optima as dynamic Rastrigin function does.