基于层次划分,块交换的布局整体优化算法

本文提出了一个新的布局整体优化算法，它的基本思想是：对布局区域按一定规则进行层次划分，然后将能最大改善目标函数的同层划分块中的氖器件进行交换。     

电力监控数据库设计及优化查询技术

本文介绍了电站自动化系统TCS2000的软件体系结构,详细说明了电力监控数据库的设计以及其中所用到的动态表结构、面向主题的数据管理、多线程等查询优化措施.     

基于旋转电弧传感器的焊接电流波形研究

为了实现焊接的自动化,必须研制出新型的传感器,并对采集到的信号进行滤波与分析。介绍了旋转电弧传感器的工作原理。由于采样得到的焊接电流中含有大量的噪声,必须通过多种滤波方法的组合,最终得到较理想的焊接电流波形。为了研究焊接电流的波形,进行了小弯曲角焊缝的跟踪实验,直角转弯角焊缝的跟踪实验。结果表明:滤波后的焊接电流波形比较理想,通过焊接电流波形,可以识别出焊枪是前倾、后倾,还是既不前倾也不后倾,焊枪是左偏、右偏,还是对中,为偏差识别和焊接机器人的控制铺平了道路。     

基于航空交流故障电弧标准的电弧仿真研究

随着飞机多电全电技术的迅猛发展,电力系统在飞机中的重要程度不断提升,而电弧故障是航空电力系统多发的一类电气故障,会引起飞机火灾,轻则烧毁线路,重则引起飞机坠毁。因此,航空交流故障电弧的研究对保障飞机电力系统的安全十分重要。针对传统航空交流故障电弧模型种类单一、难以准确模拟真实故障电弧的特点,基于航空交流故障电弧试验标准下点接触电极、点接触截断和松动接线柱试验中得到的故障电弧电压、电流特性进行分析后,提出模型改进方法,形成航空交流电弧仿真优化策略,从而涵盖所提航空交流电弧试验标准下的故障电弧特性。通过MATLAB/Simulink完成了电弧模型的搭建,对电弧数据及模型仿真结果进行特征量提取及比较,验证了航空交流故障电弧模型仿真策略和方法的有效性。     

智能变电站测控装置通信板件散热优化设计

针对电力自动化智能装置通信板件中光电转换模块及芯片等功率元件分布集中、热流密度大、可靠性要求高等特点,采用热分析软件FLOTHERM建立了某型智能变电站测控装置通信板件精细热分析模型,模拟了板件在特定温度下元件的温升并对散热器、热流通道进行了优化,最后在高低温试验箱对板件进行温升测试,验证了仿真模型的正确性和优化结果的合理性.     

Buffer planning for application-specific networks-on-chip design

Networks-on-chip (NoC) is a promising communication architecture for next generation SoC. The size of buffer used in on-chip routers impacts the silicon area and power consumption of NoC dominantly. It is important to plan the total buffer-size and each router buffer-allocation carefully for an efficient NoC design. In this paper, we propose two buffer planning algorithms for application-specific NoC design. More precisely, given the traffic parameters and performance constraints of target application, the proposed algorithms automatically determine minimal buffer budget and assign the buffer depth for each input channel in different routers. The experimental results show that the proposed algorithms can significantly reduce total buffer usage and guarantee the performance requirements. Supported by the National Natural Science Foundation of China (Grant No. 60803018)     

基于小波暂态能量的自适应故障选线新方法

针对当前小电流接地系统在相电压过零时发生故障选线准确率不高的问题,分析了小电流接地系统发生单相接地故障后零序电流的频率特征。提出了一种基于小波暂态能量的故障初始角自适应故障选线新方法,该方法利用快速傅里叶变换获取电压相位估算故障初始角,并根据能量最大值原理进行故障选线。通过理论分析,数字仿真实验,证明了所提出的方法基本不受过渡电阻、故障初始角、电弧故障和故障距离的影响,能够准确快速地选出故障线路。     

不共面P4P问题多解的判定方法

PnP问题源于照相机检测,即根据给定空间n个点的相互位置关系,确定摄象机在空间的方位。以前的研究成果表明,对于给定的空间三点,最多可以出现四个解。本文针对不共面的四点透射(P4P)问题,利用Wu-Ritt零点分解方法对问题进行分组分解,并经分析后得到了问题存在多解时的若干充分条件,从而在实际应用中很容易避开那些可能存在
在多解的观察点。     

内照射放疗机器人的研究

医疗机器人是国内外医疗技术研究的热门前沿,有着潜在的广阔市场需求。内照射放疗机器人,综合了内照射放疗技术和图像引导治疗技术,是医疗机器人的典型代表。文章首先介绍近距离放疗技术、图像引导治疗技术,然后讨论内照射放疗机器人系统,最后对内照射放疗机器人的研究进行总结和展望。     

Optimal Terrain Construction Problems and Applications in Intensity-Modulated Radiation Therapy

In this paper we study several rectilinear terrain construction problems, which model the leaf sequencing problems in intensity-modulated radiation therapy (IMRT). We present a novel unified approach based on geometric techniques for solving these terrain construction problems. Our ideas include formulating the terrain construction problems as computing shortest paths in a weighted directed graph and building the graph by computing optimal bipartite matchings on various geometric objects subject to specific constraints of each of the problems. Further, since we need to compute optimal bipartite matchings on many sets of geometric objects, we use techniques for computing such matchings in a batch fashion to speed up these matching computations. Our approach leads to the first algorithms for several leaf sequencing problems in IMRT that are practically fast and guarantee an output which is optimal for a large sub-class of solutions. The previously known leaf sequencing algorithms which are currently used in radiation therapy practice are all heuristics that do not guarantee any good quality of the output solutions and may run in a long time. Our implementation results show that our terrain construction algorithms run very fast on real medical data (all under few seconds).     

基于神经网络的优化算法在EDA中应用研究进展

为了应对芯片设计复杂度的提升,电子设计自动化工具和方法也在不断进步。然而,EDA需要协调达到最佳的功率、性能和面积,通常其不能保证最优的解决方案。EDA工具在电路设计阶段包括逻辑综合、布局布线及验证等均属于多目标、多约束的非线性规划求解过程,且为了更好解决求解中的不确定性和易于出现局域极值等难题,基于神经网络的优化算法已被集成到EDA工具的设计流程中。首先对EDA中的优化问题、多目标优化计算及基于神经网络的优化算法进行了简要概述,继而详细梳理了基于神经网络的优化算法在逻辑综合、布局布线及验证等不同设计阶段中的优化求解方法,并阐述了当前研究所面临的挑战与机遇,希望为集成电路自动化设计及相关领域研究提供参考。     

Electronic design automation using a unified optimization framework

This work proposes an object-oriented unified optimization framework (UOF) for general problem optimization. Based on biological inspired techniques, numerical deterministic methods, and C++ objective design, the UOF itself has significant potential to perform optimization operations on various problems. The UOF provides basic interfaces to define a general problem and generic solver, enabling these two different research fields to be bridged. The components of the UOF can be separated into problem and solver components. These two parts work independently allowing high-level code to be reused, and rapidly adapted to new problems and solvers. The UOF is customized to deal with several optimization problems. The first experiment involves a well-known discrete combinational problem, wihle the second one studies the robustness for the reverse modeling problem, which is in high demanded by device manufacturing companies. Additionally, experiments are undertaken to determine the capability of the proposed methods in both analog and digital circuit design automation. The final experiment designs antenna for rapidly growing wireless communication. Most experiments are categorized as simulation-based optimization tasks in the microelectronics industry. The results confirm that UOF has excellent flexibility and extensibility to solve these problems successfully. The developed open-source project is publicly available.     

过程控制的发展与展望

本文介绍过程工业的特点,回顾过程控制的发展过程,指出过程控制的趋势,强调过程综合自动化这一发展方向,并讨论过程控制面向的理论和实际问题。     

Matlab神经网络工具箱编程和Delphi对其调用

针对电弧炉炼钢氧化期是一个复杂的物理化学反应过程,难以建立机理模型,利用Matlab神经网工具箱建立BP神经网预测模型,并详细讨论该模型的编程设计问题,利用OLE自动化,用Delphi编写人机交互界面来指导冶炼生产。     

Robotic Optimization and Testing for the Formula One Tire-Changing Robot

Robotics experiences tremendous evolutions every year. Once a topic is mainly approached at research centers, read through highly specialized books and viewed distantly on scientific channels, nowadays it is a common and very approachable subject among undergraduate students of many universities. More and more robots are being designed every day, demanding technological implementation and production. This progress does not come without its glitches, however. A common and increasing problem that appears is the insufficient testing, simulation and optimization steps that a robotic construction needs to pass in order to achieve an efficient design. These steps prove to be difficult and sometimes discouraging, resulting in laborious work, due to lack of tools. This paper presents an example of a robotic optimization and testing, using a generic software package, applied on a custom manipulator, a tire-changing robot. Although the manipulator is designed with its own simulation and control package, it may lack optimality or validity. We implemented a different software package, focused on optimization and control of simple generic robots (XXX.RRR types) and apply the package on the tire-changer manipulator. The results provide improvements for the primary controlling software and confirm its correctness.