中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2400-2414 作者: Li, Chao; Liu, Fagui; Wang, Bin; Chen, C. L. Philip; Tang, Xuhao \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2023/11/17 Task analysis Intelligent vehicles Optimization Processor scheduling Vehicle dynamics Heuristic algorithms Costs Deep reinforcement learning (DRL) scheduling policy tracking service vehicular edge computing (VEC)
	Evolution of Controllers Under a Generalized Structure Encoding/Decoding Scheme With Application to Magnetic Levitation System 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 9, 页码: 9655-9666 作者: Xin, Bin; Wang, Yipeng; Xue, Wenchao; Cai, Tao; Fan, Zhun \| 收藏 \| 浏览/下载：55/0 \| 提交时间：2022/06/21 Optimization Design methodology Control systems Tuning Magnetic levitation Signal processing Periodic structures Automatic design of controllers disturbance-rejection intelligent optimization algorithms magnetic levitation system (MLS) mixed-variable optimization
	Distributed and Time-Delayed k-Winner-Take-All Network for Competitive Coordination of Multiple Robots 期刊论文 OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12 作者: Jin, Long; Liang, Siqi; Luo, Xin; Zhou, Mengchu \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2022/08/22 Mathematical models Delay effects Task analysis Robot kinematics Multi-robot systems Robustness Heuristic algorithms Competitive coordination distributed control intelligent network k-winner-take-all (kWTA) multirobot system optimization time delay
	A novel method for image segmentation based on nature inspired algorithm 会议论文 OAI收割 10th International Conference on Intelligent Computing, ICIC 2014, Taiyuan, China, August 3-6, 2014 作者: Liu Y(刘洋); Hu KY(胡琨元); Zhu YL(朱云龙); Chen HN(陈瀚宁) 收藏 \| 浏览/下载：29/0 \| 提交时间：2014/08/09 Algorithms Bioinformatics Digital libraries Face recognition Intelligent computing Medical imaging Particle swarm optimization (PSO)
	Root growth model for simulation of plant root system and numerical function optimization 会议论文 OAI收割 8th International Conference on Intelligent Computing Technology, ICIC 2012, Huangshan, China, July 25, 2012 - July 29, 2012 作者: Zhang H(张浩); Zhu YL(朱云龙); Chen HN(陈瀚宁) 收藏 \| 浏览/下载：33/0 \| 提交时间：2012/10/24 Algorithms Computer simulation Intelligent computing Models Optimization
	Selected optimal control from controller database according to diverse AUV motions 会议论文 OAI收割 2011 9th World Congress on Intelligent Control and Automation (WCICA 2011), Taipei, Taiwan, June 21-25, 2011 作者: Zhou HY(周焕银); Liu KZ(刘开周); Feng XS(封锡盛) 收藏 \| 浏览/下载：30/0 \| 提交时间：2012/06/06 Algorithms Autonomous underwater vehicles Control theory Cost functions Database systems Intelligent control Optimization Submersibles Underwater equipment Water craft
	The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China 作者: Liu J.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 In order to solve the registration problem of different source image existed on aerial image fusion algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed high accuracy and high reliability. Basically with little restriction of gray level properties a new alignment measure is applied which can efficiently measure the image registration extent and tolerate noise well. Even more the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that the study attains the registration accuracy of pixel level and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms and the registration result has higher accuracy and stability which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect and is easy for application and very suitable for engineering use. 2010 IEEE.
	Multi-population genetic neural network model for short-term traffic flow prediction at intersections EI期刊论文 OAI收割 2009 作者: Zhu Axing 收藏 \| 浏览/下载：29/0 \| 提交时间：2012/06/11 Backpropagation algorithms Genetic algorithms Global optimization Intelligent vehicle highway systems Intersections Linearization Neural networks Traffic surveys Vehicle locating systems