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[Technology Management] Mean-Shift-Segmentation-Method DL : 0: Mean Shift算法的基本原理，着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析，本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。-The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feature space. Mean Shift structural analysis, this chapter proposes a fast region merging algorithm and apply the Improved Mean Shift image segmentation algorithm.
Date : 2025-12-31 Size : 1.25mb User : waiwai
[Technology Management] Coordination-and-Optimization DL : 0: 将网损价格因子和网损协调系数引入目标函数,建立了改进直流潮流模型,实现了负荷在机组间的最优分配利用交流潮流方法计算系统实际网损,并利用增量直流潮流模型将网损在机组间进行合理分摊最后利用交直流迭代思想修正网损价格因子和网损协调系数以优化网损分配方案。IEEE14节点和IEEE118节点算例验证了该方法的可行性,算例结果充分逼近了交流最优潮流的计算结果,符合实际系统运行状况。-The net loss and net loss of coordination price factor introduced in the objective function coefficients, the establishment of an improved DC power flow model to achieve optimal distribution of load between units computing systems use the actual net loss of AC power flow method and the use of incremental DC power flow model Net loss reasonably apportioned among the crew Finally, AC-DC iteration thought the price factor correction network loss and net loss of coordination coefficients to optimize network loss allocation scheme. IEEE14 and IEEE118 node examples node to verify the feasibility of the method, numerical results approaching full AC optimal power flow calculation results, in line with the actual system operating conditions.
Date : 2025-12-31 Size : 786kb User : 杰
[Technology Management] 06675643 DL : 0: 　提高电源的动态响应　　非线性和复杂的系统是一个转换器　　电力电子的有趣的挑战。摘要介绍了　　设计和实现数字PID控制器使用　　混沌粒子群优化(复)提振　　转换器,提出了自动调优转换器的方法　　最优启动响应。当系统启动时,处理器　　单元分析了开环启动响应转炉和　　在一些迭代使用复准备最佳反应　　算法。使用逻辑映射混沌映射序列　　增加它的收敛速度和精度。模拟　　和实现结果显示提出的效率　　方法-Improving dynamic response of DC-DC converters which are nonlinear and complicate systems is an interesting challenge in power electronics. This paper presents the design and implementation of digital PID controller using the chaotic particle swarm optimization (CPSO) for a Boost converter and proposes an approach for auto tuning converter optimum startup response. When the system starts, processor unit analyses the open loop startup response of converter and prepares optimum response during some iteration using CPSO algorithm. Chaotic mapping using logistic map sequences increases its convergence rate and resulting precision. Simulation and Implementation results show efficiency of proposed approach
Date : 2025-12-31 Size : 427kb User : 闵国旗