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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

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

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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

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Containment control with multiple interacting leaders under switching topologies

Containment control with multiple interacting leaders under ...

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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

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A License Plate Recognition System Based on Machine Vision

A License Plate Recognition System Based on Machine Vision

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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

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Social influence and spread dynamics in social networks

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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

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

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

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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

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Optimal control for discrete-time affine non-linear systems using general value iteration

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IET control THEORY AND APPLICATIONS 2012年第18期6卷 2725-2736页

作者： Li, H. Liu, D. Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China

In this study, the authors propose a novel adaptive dynamic programming scheme based on general value iteration (VI) to obtain near optimal control for discrete-time affine non-linear systems with continuous state and control spaces. First, the selection of initial value function is different from the traditional VI, and a new method is introduced to demonstrate the convergence property and convergence speed of value function. Then, the control law obtained at each iteration can stabilise the system under some conditions. At last, an error-bound-based condition is derived considering the approximation errors of neural networks, and then the error between the optimal and approximated value functions can also be estimated. To facilitate the implementation of the iterative scheme, three neural networks with Levenberg-Marquardt training algorithm are used to approximate the unknown system, the value function and the control law. Two simulation examples are presented to demonstrate the effectiveness of the proposed scheme.

关键词： Nonlinear systems

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Intelligent Ports Based on Internet of Things

Intelligent Ports Based on Internet of Things

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

作者： Dong Xisong Xiong Gang Guo Xiujiang Li Yuantao Lv Yisheng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Dongguan Peoples R China Measurements Ctr Stat PetroChina Huabei Oilfield Co Renqiu Peoples R China Chinese Acad Sci Cloud Comp Ctr Beijing 100864 Peoples R China Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst Technol Beijing 100864 Peoples R China

ISBN: (纸本)9781479905300;9781479905294

In this article, the informatization developments of main international ports are summarized. Then, the detail requirements of next generation Intelligent Ports are collected and analyzed. Later, the corresponding key technologies of Internet of Things are summarized. And, a kind of Intelligent Ports solution is proposed, and its main functions are designed in detail. Finally, the future development trend of Intelligent Ports is predicted.

关键词： Intelligent Ports Internet of Things Wireless Sensor Network Radio Frequency Identification

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An iterative ∈-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state

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NEURAL NETWORKS 2012年 32卷 236-244页

作者： Wei, Qinglai Liu, Derong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

In this paper, a finite horizon iterative adaptive dynamic programming (ADP) algorithm is proposed to solve the optimal control problem for a class of discrete-time nonlinear systems with unfixed initial state. A new is an element of-optimal control algorithm based on the iterative ADP approach is proposed that makes the performance index function iteratively converge to the greatest lower bound of all performance indices within an error is an element of in finite time. The convergence analysis of the proposed ADP algorithm in terms of performance index function and control policy is conducted. The optimal number of control steps can also be obtained by the proposed is an element of-optimal control algorithm for the unfixed initial state. Neural networks are used to approximate the performance index function, and compute the optimal control policy, respectively, for facilitating the implementation of the is an element of-optimal control algorithm. Finally, a simulation example is given to show the effectiveness of the proposed method. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Adaptive dynamic programming Approximate dynamic programming is an element of-optimal control Finite horizon Neural networks

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Value capture and value creation in high-velocity networked environments

Value capture and value creation in high-velocity networked ...

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

作者： Hannu Tuomisaari Juhana Peltonen Timo R Nyberg Xisong Dong Göte Nyman Business Innovation and Technology School of Science Aalto University Espoo Finland The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Institute of Behavioral Sciences University of Helsinki Finland

ISBN: (纸本)9781479905287

The core function of any profitable firm is capturing a share of the value that customer perceives in the firm's offering. Value capture is traditionally considered to relate to a competitive advantage at the firm level, but not the firm network level. However, the ever increasing role of information and knowledge in today's economy is profoundly changing how firms can create competitive advantages. Among these changes, we highlight reducing transaction costs in various areas of the economy, which drives the economy to organize more toward rapidly evolving networks or smaller firms. There is also an opposite trend for some internet firms to become larger due to economies of scale and due to network externalities. In this position paper, we examine the issue of value capture by firms that are increasingly small and operate in rapidly changing and evolving networks. We conclude by outlining future research on firm-level capabilities that are required to enable value capture in new forms of dynamic networks.

关键词： Economics Organizations Intellectual property Industries Communications technology Educational institutions

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