中国开放科研知识云: 检索

Ladder network parameters identification of an isolated winding by combining the intelligent optimisation algorithm and GNIA 期刊论文
IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 卷号: 13, 页码: 296-304
作者: Ren, Fuqiang; Xiao, Yao; Zhan, Cao; Liu, Yong; Yang, Fan

收藏 | 浏览/下载：32/0 | 提交时间：2019/11/19

intelligent optimisation algorithm parameter estimation GNIA excellent global search ability least squares approximations transformer windings Newton method isolated winding show frequency response function data combined algorithms transformer winding intelligent algorithm identification results ladder network parameters identification traditional identification method iterative methods Jacobian matrices genetic algorithms sharply dropped calculation workload optimisation efficiency Gauss-Newton iteration algorithm frequency response ladder network parameter identification optimisation search problems

Packet scheduling algorithm for integrated unicast and multicast traffic based on reducing HoL blocking [基于缓解HoL堵塞的单组播混合调度算法] 期刊论文
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2019, 卷号: 45, 页码: 405-412
作者: Yuan, L.; Xiong, Q.; Xiao, H.

收藏 | 浏览/下载：8/0 | 提交时间：2019/12/30

Multicasting Packet switching Queueing theory Scheduling Average packet delays Combined input and crossbar queued (CICQ) Head of line blocking HOL blocking Muticast Nonuniform traffic Packet scheduling algorithm Work-conserving Scheduling algorithms

Multi-objective optimization of combined cooling, heating and power system 期刊论文
European Journal of Electrical Engineering, 2019, 卷号: 21, 期号: 2, 页码: 133-138
作者: Lin, Guanwu; Wang, Xiaolan

收藏 | 浏览/下载：19/0 | 提交时间：2020/11/14

Absorption cooling Absorption refrigeration Energy efficiency Genetic algorithms Refrigerators Absorption refrigerators Artificial bee colony algorithms (ABC) Combined cooling Combined cooling heating and power Heating and power Multi-objective artificial bee colonies Multi-objective optimization models Optimization modeling

Closed loop geometry based optimization by integrating subdivision, reanalysis and metaheuristic searching techniques 期刊论文
COMPUTERS & STRUCTURES, 2017
Huang, Guanxin; Wang, Hu; Wang, Guoping; Li, Guangyao

收藏 | 浏览/下载：2/0 | 提交时间：2017/12/03

Geometry based optimization Subdivision Reanalysis Independent coefficient technique Metaheuristic algorithms STRUCTURAL MODAL REANALYSIS FINITE-ELEMENT-ANALYSIS TOPOLOGICAL MODIFICATIONS COMBINED APPROXIMATIONS STATIC REANALYSIS ACCURATE REANALYSIS DYNAMIC REANALYSIS UNIFIED APPROACH KIRSCH METHOD ALGORITHM

Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting 期刊论文
APPLIED SOFT COMPUTING, 2016, 卷号: 49, 页码: 663-675
作者: Yang, Yi; Chen, Yanhua; Wang, Yachen; Li, Caihong; Li, Lian

收藏 | 浏览/下载：6/0 | 提交时间：2017/01/16

Forecasting Backpropagation Electric power utilization Energy resources Evolutionary algorithms Fuzzy inference Fuzzy neural networks Optimization Adaptive network based fuzzy inference system ANFIS Back propagation neural networks Combined forecasting diff-SARIMA Electricity demand forecasting Optimization algorithms Seasonal autoregressive integrated moving averages

Rollout strategies for real-time multi-energy scheduling in microgrid with storage system 期刊论文
IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 卷号: 10, 期号: [db:dc_citation_issue], 页码: 688-696
作者: Lan, Yu; Guan, Xiaohong; Wu, Jiang

收藏 | 浏览/下载：8/0 | 提交时间：2019/12/02

renewable energy wind power generation microgrid distributed power generation Markov processes greedy algorithm battery scheduling multienergy systems storage system rollout strategies rolling horizon Markov decision process battery storage plants greedy algorithms wind power scheduling power system utilisation gas emission minimisation electricity load load management wind power plants real-time multienergy scheduling problem rising climatic concerns cogeneration combined heating-and-power generation scheduling power generation scheduling heat loads power grid scheduling

On the Complexity of Query Result Diversification 期刊论文
ACM TRANSACTIONS ON DATABASE SYSTEMS, 2014, 卷号: 39
作者: Deng, Ting; Fan, Wenfei

收藏 | 浏览/下载：1/0 | 提交时间：2020/01/06

Design Algorithms Theory Result diversification relevance diversity recommender systems database queries combined complexity data complexity counting problems

An improved KPCA algorithm of chemical process fault diagnosis based on RVM 会议论文
Xi'an, China, July 26, 2013 - July 28, 2013
作者: Zhao, Xiaoqiang; Xue, Yongfei; Yang, Wu

收藏 | 浏览/下载：2/0 | 提交时间：2020/11/15

Failure analysis Principal component analysis Process control Support vector machines Vector spaces Vectors Combined algorithms Fault identifications Kernel principal component analyses (KPCA) KPCA-RVM KPCA-SVM Relevance Vector Machine TE process Tennessee Eastman

Object-Based Image Retrieval with Kernel on Adjacency Matrix and Local Combined Features 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2012, 卷号: 8, 页码: -
作者: Qi, Heng; Li, Keqiu; Shen, Yanming; Qu, Wenyu

收藏 | 浏览/下载：9/0 | 提交时间：2019/12/13

Algorithms Experimentation Performance Object-based image retrieval feedback processing kernel local combined features

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Sun H.; Han H.-X.

收藏 | 浏览/下载：50/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

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