基于2D激光扫描的基准检测技术研究

在机器人自动制孔系统中,基准孔检测的准确性会直接影响整个机器人制孔过程的位置精度。为获取基准孔孔位准确信息,采用激光扫描的方式对基准孔进行检测。设计了2D线激光扫描在基准平面内点云的三维转化方法,通过分析基准孔在扫描仪坐标系下点云的分布特点,提出了一种基于坐标差值的基准孔边界提取算法。通过设定相邻点云在线激光扫描仪坐标系下z轴的坐标差值获取边界点,实验验证该算法能有效地去除点云中的噪声点,获取准确的基准孔边缘特征信息,进而得到准确的基准孔孔位信息。     

Frequency Insertion Strategy for Channel Assignment Problem

This paper presents a new heuristic method for quickly finding a good feasible solution to the channel assignment problem (CAP). Like many other greedy-type heuristics for CAP, the proposed method also assigns a frequency to a call, one at a time. Hence, the method requires computational time that increases only linear to the number of calls. However, what distinguishes the method from others is that it starts with a narrow enough frequency band so as to provoke violations of constraints that we need to comply with in order to avoid radio interference. Each violation is then resolved by inserting frequencies at the most appropriate positions so that the band of frequencies expands minimally. An extensive computational experiment using a set of randomly generated problems as well as the Philadelphia benchmark instances shows that the proposed method perform statistically better than existing methods of its kind and even yields optimum solutions to most of Philadelphia benchmark instances among which two cases are reported for the first time ever, in this paper. Won-Young Shin was born in Busan, Korea in 1978. He received B.S. in industrial engineering from Pohang University of Science and Technology (POSTECH) in 2001 and M.S in operation research and applied statistics from POSTECH in 2003. Since 2003 he has been a researcher of Agency for Defense Development (ADD) in Korea. He is interested in optimization of communication system and applied statistics. Soo Y. Chang is an associate professor in the Department of Industrial Engineering at Pohang University of Science and Technology (POSTECH), Pohang, Korea. He teaches linear programming, discrete optimization, network flows and operations research courses. His research interests include mathematical programming and scheduling. He has published in several journals including Discrete Applied Mathematics, Computers and Mathematics with Application, IIE Transactions, International Journal of Production Research, and so on. He is a member of Korean IIE, and ORMSS. Jaewook Lee is an assistant professor in the Department of Industrial Engineering at Pohang University of Science and Technology (POSTECH), Pohang, Korea. He received the B.S. degree in mathematics with honors from Seoul National University, and the Ph.D. degree from Cornell University in applied mathematics in 1993 and 1999, respectively. He is currently an assistant professor in the department of industrial engineering at the Pohang University of Science and Technology (POSTECH). His research interests include nonlinear systems, neural networks, nonlinear optimization, and their applications to data mining and financial engineering. Chi-Hyuck Jun was born in Seoul, Korea in 1954. He received B.S. in mineral and petroleum engineering from Seoul National University in 1977, M.S. in industrial engineering from Korea Advanced Institute of Science and Technology in 1979 and Ph.D. in operations research from University of California, Berkeley, in 1986. Since 1987 he has been with the department of industrial engineering, Pohang University of Science and Technology (POSTECH) and he is now a professor and the department head. He is interested in performance analysis of communication and production systems. He has published in several journals including IIE Transactions, IEEE Transactions, Queueing Systems and Chemometrics and Intelligent Laboratory Systems. He is a member of IEEE, INFORMS and ASQ.     

谈电视教材节奏的处理

电视教材的节奏包含两个方面的内容:其一是内容情节节奏,其类型选择要根据教学内容、教学目标、教学对象、教学组织形式、电视教材类型而定;其二是表现形式节奏,主要包括画面的视觉节奏、摄像机镜头的运动节奏、景别变化节奏、镜头长度节奏、镜头组接节奏、应用电子特技产生的节奏、声音节奏等。     

An Interval Fuzzy Multiobjective Watershed Management Model for the Lake Qionghai Watershed, China

Integrated watershed management is required to ensure the reasonable use of resources and reconcile interactions among natural and human systems. In the present study, an interval fuzzy multiobjective programming (IFMOP) method was used to solve an integrated watershed management problem. Based on system analysis, an IFMOP model suitable for a lake watershed system {IFMOPLWS} was developed and applied to the Lake Qionghai watershed in China. Scenario analysis and an interactive approach were used in the solution process. In this manner, various system components were incorporated into one framework for holistic consideration and optimization. Integrality and uncertainty, as well as the multiobjective and dynamic characteristics of the watershed system, were well addressed. Using two scenarios, two planning schemes were generated. Agriculture, tourism, macroeconomics, cropland use, water supply, forest coverage, soil erosion, and water pollution were fully interpreted and compared to identify a preferable planning alternative for local agencies. This study showed that the IFMOPLWS is a powerful tool for integrated watershed management planning and can provide a solid base for sustainable watershed management.     

Web模式的仿真想定编辑与管理系统设计

基于虚拟战场对战场态势信息的需求,构建了Web模式的仿真想定编辑与管理系统,该系统包括仿真想定的输入,管理,编辑,标绘,输出等功能模块。在地理信息系统（Geographic Information System,GIS）和军标库等的支持下,用户可以根据具体的仿真需求,通过对仿真想定进行可视化编辑,简单灵活地实现对战场初始态势信息的输入。同时系统加强对已有的仿真想定的统一管理,建立仿真想定库,便于用户获取已有的仿真想定,大大提高其重用率,减少了不必要的重复劳动。     

基于柔性互联技术的含高渗透率新能源配电网多目标优化运行

智能软开关（SOP）可控制潮流、提供无功补偿,进而改善配电网电压、降低网损。因此,针对可再生能源大规模接入配电网后电能质量下降问题,采用K-means算法构建风-光典型场景,同时建立了基于SOP、可投切电容器的含高渗透率分布式电源的主动配电网优化运行模型。该模型以电压偏差、系统网损最小以及系统运行成本最低为目标,综合考虑了能源利用率及系统运行稳定性。最后利用基于参考点的非支配排序方法的多目标优化算法（NSGA-III）进行求解,输出Pareto最优解集,并采用改进的IEEE 33节点系统对所建立模型的有效性进行了验证。     

密集观测场景下的敏捷成像卫星任务规划方法

针对密集观测场景下敏捷成像卫星任务规划问题求解空间大、输入任务序列较长的特点,综合考虑时间窗口约束、任务转移时卫星姿态调整时间、存储约束和电量约束,对敏捷成像卫星任务规划问题进行建模. 提出融合IndRNN和Pointer Networks的算法模型（Ind-PN）对敏捷成像卫星任务规划问题进行求解,使用多层的IndRNN结构作为算法模型的解码器. 基于Pointer Networks机制对输入任务序列进行选择,使用Mask向量考虑敏捷成像卫星任务规划问题中的各类约束. 基于Actor Critic强化学习算法对算法模型进行训练,以获得最大的观测收益率. 实验结果表明,对于密集观测场景下的任务规划,Ind-PN算法的收敛速度更快,可以获得更高的观测收益率.     

考虑城市场景需求的中压直流配电网规划选优分析方法

针对城市配电网规划中多个中压直流配电网的建设优先次序尚无量化分析方法的问题,提出一种考虑城市场景需求的中压直流配电网规划选优分析方法.从供电质量提升需求、城市场景需求和配电网经济性3个层面建立了一套城市中压直流配电网规划选优综合指标体系,在供电质量提升需求方面考虑与目标水平之间的差距,在城市场景需求方面考虑中压交流配电网的建设局限性与中压直流配电网的建设驱动力,在经济性方面关注缺电损失成本严重性.通过云模型对定性指标量化,基于德尔菲-熵权法的层次加性加权计算各配电网综合评价值,并以此排序,在年度总投资约束下,以方案总体综合评价值最大为目标实现规划对象选优,从而安排多个中压直流配电网的建设优先级.以某地区配电网为例,验证了所提方法的实用性.     

基于随机经济模型预测控制的电热综合能源系统运行优化

北方供暖地区存在大量热电联产机组,其"以热定电"的运行特性限制了机组调峰能力.同时,随着我国能源替代的提出以及风电的快速发展,建立包含风电的电热综合能源系统是降低电热耦合以及系统运行成本的重要手段.因此,建立电热综合能源系统模型,在满足用户电热负荷需求的基础上,综合考虑风电不确定性以及系统动态过程中的经济性,提出一种基于情景树结构的随机经济模型预测控制策略.为了降低风电功率随机性干扰和风电功率变化难以描述的问题,提出采用一种改进的非线性变换方法建立风电功率非高斯分布模型,在此基础上建立基于情景树结构的风电功率变化显式表达结构,在保证鲁棒性的同时降低了优化过程中风电随机性的干扰.最后,通过累计节约成本的复合单步增长率指标验证所提策略的有效性.     

格式化文本水印性能评估基准研究

针对目前没有测试基准对格式化文本水印算法鲁棒性进行评估和比较,提出了格式化文本水印性能评估基准.回顾了水印系统通用的框架,分析并确定了影响水印系统性能的参数和文本文档的视觉质量评级标准.借鉴图像水印性能评估基准的攻击分类,提出了Word特有的去除攻击、几何攻击、密码攻击和协议攻击的攻击分类方法,同时阐述了Word特有的攻击模式.对两种不同的文本水印算法进行了攻击强度—鲁棒性、攻击强度—视觉质量和嵌入数据量—鲁棒性测试,实验结果表明,该系统在文本水印算法评估和设计中具有有效性和实用性.