基于人工势场的A*算法的移动机器人路径规划

为了解决传统A*算法规划路径时未考虑到障碍物分布对路径选取的影响,文中提出了一种改进的A*算法.将人工势场的思想与传统的A*算法相结合,对栅格地图中的障碍物赋予斥力场函数并计算周围栅格的斥力大小,进行路径搜索时将栅格的斥力大小引进到A*算法的评价函数当中以改进A*算法的搜索能力.通过MATLAB仿真和Turtlebot机器人的实验结果表明,与传统的A*算法相比,改进后的新算法与人工势场算法相结合,规划出了更优的路径,提高了路径规划效率,且搜索速度提高了 13.40％～29.68％,路径长度缩短了 10.56％～24.38％,路径节点数减少了 6.89％～27.27％,因此,改进的A*算法的优化效果明显,具有有效性和可行性.     

Executive Perspectives on Top Risks for 2015

This article summarizes the results of Executive Perspectives on Top Risks for 2015, a study conducted by North Carolina State University’s ERM Initiative and Protiviti. For more information, visit www.protiviti.com/TopRisks.     

基于CC2533的ZigBee技术智能小船测深防碰撞系统的设计

为减少船撞击事故的发生,提高野外水域工作的方便性,在ARM CortexTM-M4开发平台的基础上,设计以无线自组通讯网作为数据传递的测深防碰撞系统。本系统是以ARM CortexTM-M4芯片作为处理器,ZigBee无线通讯技术、GPS_RTK高精度定位技术和超声波测量技术作为拓展功能,最终搭建而成并实现测深、定位和防碰撞。测试结果表明,系统是拥有较强的可用性和拓展性能,有利于减少船撞击事故和方便野外水域工作。     

Archival Appraisal and the Digital Record: Applying Past Tradition for Future Practice

The digital revolution has changed the daily work of archivists. As a result, archivists have refined their analog practices and initiated new ones to accommodate the unique information creation and access needs of users. While limitless storage and technological obsolescence may be surmountable challenges, appraisal continues to be a necessary component of this preservation enterprise. Macro-appraisal—a top-down functional assessment of an organization’s high-level decision making that defines the enduring value of specific bodies of documentary evidence of these creative or administrative processes—is used to facilitate the management of diverse bodies of born-digital records in archives and special collections.     

Calibration of imprecise and inaccurate numerical models considering fidelity and robustness: a multi-objective optimization-based approach

Traditionally, model calibration is formulated as a single objective problem, where fidelity to measurements is maximized by adjusting model parameters. In such a formulation however, the model with best fidelity merely represents an optimum compromise between various forms of errors and uncertainties and thus, multiple calibrated models can be found to demonstrate comparable fidelity producing non-unique solutions. To alleviate this problem, the authors formulate model calibration as a multi-objective problem with two distinct objectives: fidelity and robustness. Herein, robustness is defined as the maximum allowable uncertainty in calibrating model parameters with which the model continues to yield acceptable agreement with measurements. The proposed approach is demonstrated through the calibration of a finite element model of a steel moment resisting frame.     

DB2 Universal Database: A Case Study of a Successful User-Centered Design Program

This case study describes the application of user-centered design (UCD) principles to the development of a complex middleware software product-IBM's DB2(r) Universal Database. Motivated by trade press reviews highlighting ease-of-use problems, a multisite development team utilized IBM UCD to transform ease of use into a featured product attribute. This case study describes the initial application of UCD to DB21 and the positive business results that followed: critical acclaim, increased marketshare and user satisfaction, and increased support and adoption of UCD across the IBM database product family. Although ease-of-use objectives, target markets, and human factors practitioners' roles have evolved over 6 years and multiple versions of the product, DB2 continues to achieve positive results with UCD. In addition to the flexibility of the UCD methodology, other factors that influenced DB2's success included management support, resource commitment, cross-site communication and collaboration, detailed product specifications, and a focus on supporting user tasks.     

基于主题深度搜索的数学领域教育平台研究

论文综合利用主题搜索技术、深网信息集成技术和Wiki技术,设计并实现了一个面向数学领域的教育平台.此平台是一个集数学资源共享和用户交流的开放平台,用户在此平台可以利用数学Wiki添加、编辑、评论数学领域信息,提升自主学习能力,实现广泛交流.同时,还能利用数学搜索引擎搜索到专业的数学知识,定制URL检索,扩大检索范围,提高了平台的个性化服务水平及搜索的准确率.实验结果表明,文中基于SVM分类算法的数学主题网页分类器具有较高的准确率和召回率.     

基于HJ-1B卫星遥感数据的水稻识别技术研究

为快速、准确地在遥感图像上识别水稻作物的信息,满足县级尺度水稻遥感监测的需要,以野外实地调查资料、1∶5万地形图数据为辅助,通过光谱分析法,分析研究HJ-1B星CCD数据的水稻作物的光谱反射特性,建立水稻作物遥感信息识别模型。采用决策树分类方法提取水稻作物信息,并将该技术方法应用于广西宾阳县水稻作物信息提取研究。采用实测样地数据,利用混淆矩阵进行精度评价验证,总精度为94.9%,Kappa系数为0.8533。研究表明,该水稻作物的识别技术,可以为了解我国水稻种植情况,进行水稻长势监测和产量估测提供技术参考。     

将硬件引入“面向对象程序设计”课程实验教学

针对“面向对象程序设计”课程实验内容的设置容易使学生产生学之无用的思想及学后不会用的问题,结合电子信息专业培养特色,压缩了传统的、基本的实验内容,增加了应用性强的实验项目,并将硬件引入实验教学。实践表明,改进后的实验教学模式效果良好。