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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Hu, Yuling Liu, Xiwei Wang, Feiyue Cheng, Changjian Beijing Key Laboratory of Automatic Control System School of Automation Beijing Institute of Technology China School of Electric and Information Engineering Beijing University of Civil Engineering and Architecture China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781467303880

Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd' important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computaional experiments point of view is proposed. © 2012 IEEE.

关键词： Decision making

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Multimodal swimming control of a robotic fish with pectoral fins using a CPG network

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Chinese Science Bulletin 2012年第10期57卷 1209-1216页

作者： WANG Ming YU JunZhi TAN Min ZHANG JianWei School oflnformation and Electrical Engineering Shandong Jianzhu University Jinan 250101 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department oflnformatics University of Hamburg Hamburg D-22527 Germany

The neural-based approaches inspired by biological neural mechanisms of locomotion are becoming increasingly popular in robot *** paper investigates a systematic method to formulate a Central Pattern Generator(CPG) based control model for mul-timodal swimming of a multi-articulated robotic fish with flexible pectoral fins.A CPG network is created to yield diverse swim-ming in three dimensions by coupling a set of nonlinear neural oscillators using nearest-neighbor *** particular,a sensitivity analysis of characteristic parameters and a stability proof of the CPG network are *** the coordinated con-trol of the joint CPG,caudal fin CPG,and pectoral fin CPG,a diversity of swimming modes are defined and successfully *** latest results obtained demonstrate the effectiveness of the proposed *** is also confirmed that the CPG-based swimming control exhibits better dynamic invariability in preserving rhythm than the conventional body wave method.

关键词：网络控制多式联运机器鱼中央游泳胸鳍人民政府神经机制

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Human age estimation with surface-based features from MRI images

Human age estimation with surface-based features from MRI im...

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3rd International Workshop on Machine Learning in Medical Imaging, MLMI 2012, Held in conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012

作者： Wang, Jieqiong Dai, Dai Li, Meng Hua, Jing He, Huiguang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Computer Science Wayne State University MI United States

ISBN: (纸本)9783642354274

Over the past years, many efforts have been made in the estimation of the physiological age based on the human MRI brain images. In this paper, we propose a novel regression model with surface-based features to estimate the human age automatically and accurately. First, individual regional surface-based features (thickness, mean curvature, Gaussian curvature and surface area) from the MRI image were extracted, which were subsequently used to construct combined regional features and the brain networks. Then, the individual regional surface-based features, brain network with surface-based features and combined regional surface-based features were used for age regression by relevance vector machine (RVM), respectively. In the experiment, a dataset of 360 healthy subjects aging from 20 to 82 years was used to evaluate the performance. Experimental results based on 10-fold cross validation show that, compared to the previous methods, age estimation model with combined surface-based features can yield a remarkably high accuracy (mean absolute error: 4.6 years and root mean squared error: 5.6 years) and a significantly high correlation coefficient (r = 0.94), which is the best age estimation result as far as we know and suggests that surface-based features are more powerful than other features used in previous methods for human age estimation. © 2012 Springer-Verlag.

关键词： Magnetic resonance imaging

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Extracting opinion explanations from Chinese online reviews

Extracting opinion explanations from Chinese online reviews

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2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012

作者： Li, Yuequn Mao, Wenji Zeng, Daniel Huangfu, Luwen Liu, Chunyang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ United States CNCERT/CC Beijing China

ISBN: (纸本)9781467321037

Opinion mining has gained increasing attention and shown great practical value in recent years. Existing research on opinion mining mainly focuses on the extraction of lexicon orientation and opinion targets. The explanations of opinions, which are potentially valuable for many applications, are totally ignored. To address this specific research challenge, in this paper, we propose an approach to extract the explanation of reason and/or consequence behind an opinion via learning word pairs and using causal indicators from Chinese online reviews. We also improve our word pair based method by constructing clusters of word paris. Experiments on a Chinese business review corpus show that our method is feasible and effective. © 2012 IEEE.

关键词： Sentiment analysis

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Acquiring netizen group's opinions for modeling food safety events

Acquiring netizen group's opinions for modeling food safety ...

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2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012

作者： Tan, Zhangwen Mao, Wenji Zeng, Daniel Li, Xiaochen Bao, Xiuguo State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Management Information Systems University of Arizona Tucson AZ United States CNCERT/CC Beijing China

ISBN: (纸本)9781467321037

Food safety events are typical public security events that draw great public concern. In food safety events, millions of netizens pay close attention to the event, express their opinions online and thus influence the decisions of government or food producers. Modeling netizen groups, especially the dynamics of their opinions in these events, can help us understand the mechanism and evolvement of such events and provide valuable insights for social management. However, conventional computational models, such as agent-based models, are usually constructed manually. In this paper, we propose an approach to acquiring netizen group's opinions from online comments to facilitate the modeling of food safety events. We conduct experimental study on typical events happened in China and empirically evaluate the performance of our proposed approach. The results verify the effectiveness of the approach. © 2012 IEEE.

关键词： Computational methods

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Automatic construction and optimization of knowledge mesh for self-reconfiguration of knowledgeable manufacturing system

Automatic construction and optimization of knowledge mesh fo...

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作者： Yan, Hong-Sen Xue, Chao-Gai Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Ministry of Education 210096 Nanjing Jiangsu China Department of Management Engineering Zhengzhou University 450001 Zhengzhou Henan China

This paper deals with an approach to the automatic construction and optimization of the knowledge mesh (KM) based on the user's function requirements. Once a KM multiple set operation expression is obtained, a new KM can be inferred from the expression by the developed KM-based inference engine and transformed into its corresponding KMS (knowledgeable manufacturing system) software automatically by the developed automatic program construction software so as to realize the self-reconfiguration of the KMS. Thus, the automatic construction and optimization of a KM multiple set operation expression is equivalent to the automatic construction and optimization of its corresponding KM and KMS software. To explore the automatic construction and optimization of the new KM by the user's function requirements, an automatic construction procedure of a KM aiming at the user's maximum function-satisfaction is proposed. Firstly, the fuzzy function-satisfaction degree relationships of the users' requirements for the KM functions are defined, and so are the multiple fuzzy function-satisfaction degrees of the relationships. Secondly, operations (union, intersection and minus) on both fuzzy and multiple fuzzy function-satisfaction degrees are proposed and clarified, along with the proof that there exists a one-to-one mapping between the KM multiple set operation expression and the KM-function-satisfaction degree expression. Then, the optimization model of the KM multiple set operation expression is constructed and proved to be very NP-hard. And finally, the KM multiple set operation expression is optimized by the hybrid genetic-tabu algorithm, with the steps of the KM's automatic construction presented in detail as well. Based upon the above, the KM's automatic construction and optimization are illustrated by an actual KM example which corresponds to the management information system (MIS) software used in a vehicle body plant. The proposed approach proves to be very effective. © 2011

关键词： optimization

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Kinematics analysis and trajectory planning of a multiarm medical robot assisted maxillofacial surgery

Kinematics analysis and trajectory planning of a multiarm me...

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6th International Conference on complex Medical Engineering, CME 2012

作者： Chen, Chao Duan, Xing-Guang Wang, Xing-Tao Zhu, Xiang-Yu Li, Meng Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System School of Mechatronical Engineering Beijing Institute of Technology #5Zhongguancun South Street Haidian Beijing China China

ISBN: (纸本)9781467316163

As the complex anatomical structure of the maxillofacial region, the surgery in this area is high risk and difficult to implement. Then, a multi-arm medical robot assisted maxillofacial surgery using optical navigation was proposed in this paper, which can improve surgical precision and make the doctors away from the heavy manual work. In this paper, the medical robot system and mechanical structure of the robot were introduced. Forward kinematics and inverse kinematics were analysed. Then trajectory planning using quintic polynomial interpolation for smoothly motion was adopted, and rectilinear motion in Cartesian space was adopted. The kinematics was validated and the workspace of the robot was calculated by simulations. Finally, the robot model was established and an experiment was carried out which proved the robot run smoothly and positioned accurately. © 2012 IEEE.

关键词： Inverse kinematics

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Correction to "Attitude coordination control for a group of spacecraft without velocity measurements" [Sep 12 1146-1159]

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IEEE Transactions on control systems Technology 2013年第3期21卷 1044-1044页

作者： An-Min Zou Krishna Dev Kumar Zeng-Guang Hou Department of Aerospace Engineering Ryerson University Toronto ON Canada Institute of Automation Chinese Academy of Sciences State Key Laboratory of Intelligent Control and Management of Complex Systems Beijing China

Some errors in the above titled paper (ibid., vol. 20, no. 5, Sep. 2012, pp. 1146-1159) are corrected here.

关键词： Attitude control Space vehicles Observers Neural networks Adaptive control Aerospace engineering

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Design and implementation of a wireless video sensor network

Design and implementation of a wireless video sensor network

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Tian, Bin Zhao, Xue-Liang Yao, Qing-Ming Zha, Lei State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Jiangsu China Sciences Intelligent Engineering Co. Ltd. Suzhou China

ISBN: (纸本)9781467303880

As a new research field in wireless sensor network (WSN), wireless video sensor network (WVSN) makes surveillance multifunctional and intelligent, with rich and intuitive sensing information. It attracts more and more researchers' attention. We design and implement a wireless video sensor network prototype system, using WIFI as the wireless communication solution and CMOS video camera as the front-end sensor. The wireless video node adopts ARM11 based embedded platform. As back-end processing algorithm, the node realizes moving object detection. Finally, we verify the sensor network system. WIFI network can transmit video sequences smoothly. The moving object detection algorithm performs well. © 2012 IEEE.

关键词： CMOS integrated circuits

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Optimal task and energy scheduling in dynamic residential scenarios

Optimal task and energy scheduling in dynamic residential sc...

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9th International Symposium on Neural Networks, ISNN 2012

作者： De Angelis, Francesco Boaro, Matteo Fuselli, Danilo Squartini, Stefano Piazza, Francesco Wei, Qinglai Wang, Ding Dipartimento di Ingegneria dell'Informazione Universitá Politecnica Delle Marche Ancona Italy State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642313455

Smart homes of the future will include automation systems that will provide lower energy consumption costs and comfortable environments to end users. In this work we propose an algorithm, based on the "Mixed-Integer Linear Programming" paradigm, able to find the optimal task and energy scheduling in realistic residential scenarios, in order to reduce costs and satisfy the user requirements at the same time. Both the static and the dynamic case studies have been addressed on purpose and results obtained from computer simulations seem to confirm the effectiveness of the idea. © 2012 Springer-Verlag.

关键词： Scheduling

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