检索结果-内蒙古大学图书馆

IEEE International Conference on Automation Science and Engineering

作者： Z. Shen K. Wang F.-Y. Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation and Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences No. 95 Zhongguancun E. Road Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation and Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences No. 95 Zhongguancun E. Road Beijing 100190 China Centre for Milit

ISBN: (纸本)9781479915132

As the computing technology develops, micro-simulation becomes more and more important in the Intelligent Transportation systems (ITS) research, because it can provide detailed descriptions of the system. However, for a multi-agent systems (MAS) modelling of an ITS, the computation burden is large, as it involves the computation of the state changing of all the agents. Further, if we consider simulation based optimization, which can be simply understood as an intelligent way of running a number of micro-simulations, the computation burden is huge. Moreover, there are multiple objective optimization problems in the ITS. The Vector Ordinal Optimization (VOO) method is a powerful tool for multi-objective optimization. In this paper, we apply VOO to the problem of optimizing the stop times and delay time of an ITS. We test the method on a 4 intersection lattice road network, and on the 18 intersection road network of the Zhongguancun area of Beijing. Compared with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) method, the VOO method can achieve a speedup of factor of more than 150, with only a little sacrifice of performance.

关键词： Ordinal Optimization Vector Ordinal Optimization Agent-based modelling Intelligent Transportation systems

来源：评论

学校读者我要写书评

暂无评论

Sensitive keyword spotting for voice alarm systems

Sensitive keyword spotting for voice alarm systems

引用

IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Chunlei Zhu Qing-Jie Kong Lucidus Zhou Gang Xiong Fenghua Zhu Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479905287

keyword spotting is the task of identifying the occurrences of certain desired keywords in an arbitrary speech signal. keyword spotting has many applications. One of them is emergency voice alarm systems, like command control and smart monitoring ATM etc. This paper presents a sensitive keyword spotting system applied to voice alarm occasions. By sensitive keyword retrieval, emergency warning systems can automatically monitor and follow up the situation, find the crisis occurs, and then give the alarm. Automatically retrieving and tracking for the particular occasion can not only save a lot of manpower and material resources, but is also more efficient. So the study of this subject has great reality and application value.

关键词： Hidden Markov models Speech Speech recognition Feature extraction Acoustics Alarm systems Viterbi algorithm

来源：评论

学校读者我要写书评

暂无评论

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach

引用

PATTERN RECOGNITION 2013年第3期46卷 692-702页

作者： Gu, Yuhua Kumar, Virendra Hall, Lawrence O. Goldgof, Dmitry B. Li, Ching-Yen Korn, Rene Bendtsen, Claus Velazquez, Emmanuel Rios Dekker, Andre Aerts, Hugo Lambin, Philippe Li, Xiuli Tian, Jie Gatenby, Robert A. Gillies, Robert J. H Lee Moffitt Canc Ctr & Res Inst Dept Imaging Tampa FL 33612 USA Univ S Florida Dept Comp Sci & Engn Tampa FL 33620 USA Definiens AG D-80339 Munich Germany AstraZeneca Discovery Sci Macclesfield SK10 4TG Cheshire England Univ Hosp Maastricht Dept Radiat Oncol Maastricht Netherlands Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Med Image Proc Grp Beijing 100190 Peoples R China

A single click ensemble segmentation (SCES) approach based on an existing "Click & Grow" algorithm is presented. The SCES approach requires only one operator selected seed point as compared with multiple operator inputs, which are typically needed. This facilitates processing large numbers of cases. Evaluation on a set of 129 CT lung tumor images using a similarity index (SI) was done. The average SI is above 93% using 20 different start seeds, showing stability. The average SI for 2 different readers was 79.53%. We then compared the SCES algorithm with the two readers, the level set algorithm and the skeleton graph cut algorithm obtaining an average SI of 78.29%, 77.72%, 63.77% and 63.76%, respectively. We can conclude that the newly developed automatic lung lesion segmentation algorithm is stable, accurate and automated. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Image features Delineation Lung tumor Lesion CT Region growing Ensemble segmentation

来源：评论

学校读者我要写书评

暂无评论

Containment control with multiple interacting leaders under switching topologies

Containment control with multiple interacting leaders under ...

引用

Chinese control Conference (CCC)

作者： Huiyang Liu Long Cheng Min Tan Zengguang Hou Zhiqiang Cao Ming Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Beijing CN School of Information and Electrical Engineering Shandong Jianzhu University Jinan P.R. China

In this paper, containment control for continuous-time multi-agent systems with multiple interacting leaders is investigated. According to the role each agent plays in the multi-agent team, the agents are classified into two categories: leaders and followers. The containment control problem in this paper is that the leaders converge to a desired formation and the followers move into the convex hull spanned by the leaders' final positions. A sufficient condition for containment control is that the union of the interaction graphs has a spanning tree frequently enough as the system evolves. It is shown that the followers' positions in the convex hull are dynamic due to the switching topology. The theoretical results are illustrated by some simulations.

关键词： Topology Switches Network topology Vectors Multi-agent systems Protocols

来源：评论

学校读者我要写书评

暂无评论

An object grasping method based on fuzzy approaching for a mobile manipulator

引用

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第SUPPL.I期41卷 47-50页

作者： Jiao, Jile Cao, Zhiqiang Zhao, Peng Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

An object grasping method based on fuzzy approaching for a mobile manipulator with an Eye-in-Hand CMOS (complementary metal-oxide-semiconductor transistor) camera was proposed. The approaching guidance identifier with double cross was recognized by the mobile manipulator, and the angle between the line from mobile platform to the center of the identifier and its heading direction were served as the inputs of fuzzy controller. A double input and single output fuzzy controller was designed to regulate the direction of the mobile platform for smooth approaching. When the object (a red cylinder with double black lines) was in the workspace of manipulator, the mobile platform stops and the object was grasped by the manipulator with its joint angles solved based on inverse kinematics. Experiments results show the validity of the proposed approach.

关键词： Manipulators

来源：评论

学校读者我要写书评

暂无评论

A License Plate Recognition System Based on Machine Vision

A License Plate Recognition System Based on Machine Vision

引用

IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

作者： Yang, Jian Hu, Bin Yu, JieHan An, Jianqi Xiong, Gang Chinese Acad Sci Cloud Comp Ctr Dongguan Res Inst CASIA Dongguan Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management Control Complex Syst Beijing Peoples R China Guang Zhou Commun Informat Construct Investment & Guangzhou Guangdong Peoples R China Cent S Univ Sch Informat Sci & Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781479905300;9781479905294

License Plate Recognition based on machine vision has been widely used in ITS(Intelligent Transportation System) and Smart Parking System. In this paper, we developed a system which included the image acquisition, license plate location, character segmentation and character recognition. To improve the accuracy of the license plate location, we improved the effect of the binary image positioning method. In character segmentation, we solved several typical license plate characteristics. In order to improve the accuracy of segmentation, we have taken a variety of methods to deal with their respective characteristics. In character recognition, we use template matching method and considered whether to consider the background matching. In the system, we just adopted the image recognition to recognize the characters. With no significant exposure, the area of license plate is more than 1/5 of the total images, we can get a good recognition.

关键词： License Plate Location Template matching Character Recognition Machine Vision

来源：评论

学校读者我要写书评

暂无评论

A motion control for mobile robot based on sub-regions evaluation in local sensing environment

引用

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第SUPPL.I期41卷 38-41页

作者： Yuan, Wenbo Cao, Zhiqiang Liu, Xilong Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

A motion control method for mobile robot based on sub-regions evaluation in local sensing environment was proposed. Firstly, the local environment was divided into multiple sub-regions based on the sensing information provided by laser range finder. Then, each sub-region was evaluated by considering the distance influence factor, as well as visual guide and memory-based judgment. Finally, the optimal sub-region adapted to current environment will be used for motion decision of mobile robot. Experimental results show that the proposed method is capable of dividing sensing environment into multiple sub-regions and producing the optimal sub-region adapted to current environment. Motion control for robot was realized and the effectiveness of the proposed method was verified.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Social influence and spread dynamics in social networks

引用

Frontiers of Computer Science 2012年第5期6卷 611-620页

作者： Xiaolong ZHENG Yongguang ZHONG Daniel ZENG Fei-Yue WANG State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Management Science and Engineering Qingdao UniversityQingdao 266071China

Social networks often serve as a critical medium for information dissemination, diffusion of epidemics, and spread of behavior, by shared activities or similarities be- tween individuals. Recently, we have witnessed an explosion of interest in studying social influence and spread dynamics in social networks. To date, relatively little material has been provided on a comprehensive review in this field. This brief survey addresses this issue. We present the current significant empirical studies on real social systems, including network construction methods, measures of network, and newly em- pirical results. We then provide a concise description of some related social models from both macro- and micro-level per- spectives. Due to the difficulties in combining real data and simulation data for verifying and validating real social sys- tems, we further emphasize the current research results of computational experiments. We hope this paper can provide researchers significant insights into better understanding the characteristics of personal influence and spread patterns in large-scale social systems.

关键词： social networks spread dynamics social influence computational experiment

来源：评论

学校读者我要写书评

暂无评论

ADRC based yaw control of a robotic fish with two long fins

引用

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第SUPPL.I期41卷 335-338页

作者： Wei, Qingping Wang, Shuo Tan, Min Zhou, Chao The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing 100190 China

A robotic fish propelling itself by two long fins was designed and implemented from the inspiration of stingrays. The yaw control of this robotic fish was studied. The dynamic model was studied based on the stress analysis of the robotic fish. A yaw controller was designed based on the active disturbance rejection control (ADRC) technique. The model error and external disturbance were unified into a total system disturbance, which was estimated by an extended state observer. By compensating the total system disturbance in the control signal, the yaw control system was simplified to a typical second order cascade integral system which could be easily controlled by use of a more effective nonlinear feedback control. The ADRC based yaw controller was verified through simulations showing that the designed controller can effectively control the yaw angle of the robotic fish and has good dynamic and static characteristics.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

A Review on Robot Learning and controlling: Imitation Learning and Human-computer Interaction

A Review on Robot Learning and Controlling: Imitation Learni...

引用

25th Chinese control and Decision Conference (CCDC)

作者： Wang, QiZhi Xu, De Shi, LuYan Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

ISBN: (纸本)9781467355322;9781467355339

Robot have been increasingly and significantly more powerful and intelligent over the last decade, and moving towards more service oriented roles. Imitation learning and human-robot interaction play important roles in effectively improving robot's intelligence and ability to co-work with human being. This paper reviews the current state of the art in robot learning and controlling based on imitation learning and human-robot interaction. Recent research, imitation, and the control strategy for imitation learning are addressed. Human-robot physical interaction and multi-modal interaction are emphasized.

关键词： robot learning control imitation learning human-robot interaction human-robot physical interaction multi modal human robot interaction

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：