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第26届中国控制与决策会议

作者： Xiang Wang Jia Ma Xiaowei Li Xiaodong Zhao Zongli Lin Jie Chen Zhifeng Shao Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Department of Resource and Environmental Science School of Agriculture and BiologyShanghai Jiao Tong University School of Biomedical Engineering Shanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

In controlling biological diseases, it is often more potent to use a combination of agents than using individual ones. However, the number of possible combinations increases exponentially with the number of agents and their concentrations. It is prohibitive to search for effective agent combinations by trial and error as biological systems are complex and their responses to agents are often a slow process. This motivates to build a suitable model to describe the biological systems and help reduce the number of experiments. In this paper, we consider the use of fungicides to inhibit Bipolarismaydis and construct models that describe the responses to fungicide combinations. Three data-driven modeling methods, the polynomial regression, the artificial neural network and the support vector regression, are compared based on the experimental data of the inhibition rates of the southern corn leaf blight with different fungicide combinations. The analysis of the results demonstrates that the support vector regression is best suited to the construction of the response model in terms of achieving better prediction with fewer experiments.

关键词： agent combinations,complex system,data-driven model,polynomial regression,artificial neural network,support vector regression

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Semi-Global Output Consensus of Linear Agents with External Disturbances and Actuator Saturation:An Output Regulation Approach

Semi-Global Output Consensus of Linear Agents with External ...

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第三十三届中国控制会议

作者： Zhiyun Zhao Yiguang Hong Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences Charles L. Brown Department of Electrical and Computer Engineering University of VirginiaP.O. Box 400743Charlottesville VA 22904-4743 U.S.A.

This paper studies semi-global leader-following output consensus of a multi-agent system. Each follower agent in the system, described by a general linear system subject to external disturbances and actuator saturation, is to track the leader agent. Conditions on the agent dynamics are identified under which a low gain feedback based linear state control algorithm is constructed for each follower agent such that the leader-following output consensus is achieved when the communication topology among the agents is a directed graph that contains no loop and the leader is globally reachable. In addition, discussions and simulations are also provided for the output consensus in the presence of actuator saturation.

关键词： Leader-following output consensus,low gain feedback,multi-agent systems,actuator saturation

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Emotional State Transition Model Based on Stimulus and Personality Characteristics

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China Communications 2013年第6期10卷 146-155页

作者：彭晓兰解仑刘欣王志良 School of Computer and Communication Engineering University of Science and Technology Beijing Beijing Key Laboratory of Knowledge Engineering for Materials Science School of Automation and Electrical Engineering University of Science and Technology Beijing

In order to use mathematical methods to study how cognitive reappraisal strategies affect the output state of emotions,Gross's cognitive reappraisal strategy is transformed into a quantitative parameter which is proposed to describe the general perception of emotional events on the basis of the emotion *** to Gross's emotional regulation model,the Finite State Machine(FSM) model is used for describing the process of emotional state transition and the Likert 5 grading scale is introduced to study the level of an individual's reappraisal according to the participant's *** experimental results verify that the algorithm can effectively describe the relationship between the reappraisal strategy,emotional events and an emotiongenerative *** are multiple dimensions of a human's emotional ***,in the field of human-computer interaction,further research requires the development of a specific algorithm which can be implemented by a computer for the emotion regulation process.

关键词： emotion regulation reappraisal emotional events conversion matrix

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Dynamic Power Dissipation Control Method for Real-Time Processors Based on Hardware Multithreading

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China Communications 2013年第5期10卷 156-166页

作者：罗新强齐悦王磊王沁 School of Computer and Communication Engineering University of Science and Technology Beijing Beijing Key Laboratory of Knowledge Engineering for Materials Science Institute of Automation Chinese Academy of Sciences

In order to eliminate the energy waste caused by the traditional static hardware multithreaded processor used in real-time embedded system working in the low workload situation, the energy efficiency of the hardware multithread is discussed and a novel dynamic multithreaded architecture is proposed. The proposed architecture saves the energy wasted by removing idle threads without manipulation on the original architecture, fulfills a seamless switching mechanism which protects active threads and avoids pipeline stall during power mode switching. The report of an implemented dynamic multithreaded processor with 45 nm process from synthesis tool indicates that the area of dynamic multithreaded architecture is only 2.27% higher than the static one in achieving dynamic power dissipation, and consumes 1.3% more power in the same peak performance.

关键词： dynamic power dissipation control real-time processor hardware multithread low power design energy efficiency

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Pedestrian detection based on incremental learning

Pedestrian detection based on incremental learning

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4th International Conference on Intelligence science and Big Data engineering, IScIDE 2013

作者： Xia, Yu Huang, Yongzhen Wang, Liang Geng, Xin School of Computer Science and Engineering Southeast University Nanjing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642420566

Pedestrian detection is a hot topic in computer vision and pattern recognition. Existing pedestrian detection methods face new challenges in the background of big data, e.g., heavy burdens on computing and memory. To solve these problems, in this paper, we propose a pedestrian detection framework based on incremental learning. Compared with existing pedestrian detection frameworks, it costs much less time and memory. In addition, the performance of our framework is very close to the one which uses all training samples at once. Furthermore, with more new training samples, the performance can be enhanced continually with little time and memory, showing the potential in practical applications. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Big data

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Nonlinear control and synchronization of a class of nonlinear coupled dynamical systems

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控制理论与应用（英文版） 2013年第4期11卷 623-628页

作者： Wenyan TANG Zhihua QU Xiaoping FAN Hui LONG School of Information Science and Engineering Central South University Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Department of Electrical Engineering and Computer Science University of Central Florida

In this paper, a control problem for a class of nonlinear coupled dynamical systems is proposed and a continuous nonlinear feedback control law is designed using direct Lyapunov method to solve the proposed control problem. Moreover, synchronization problem for a special case of this class nonlinear coupled dynamical systems is concerned. Numerical examples show the effectiveness and advantage of the designed continuous nonlinear control law and derived synchronization result.

关键词： Nonlinear control Synchronization Lyapunov method

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Erratum to “Consensus seeking over directed networks with limited information communication” [Automatica 49 (2) (2013) 610–618]

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Automatica 2014年第9期50卷 2430-2431页

作者： Dequan Li Qipeng Liu Xiaofan Wang Zongli Lin School of Science Anhui University of Science and Technology Huainan 232001 Anhui Province PR China Department of Automation Shanghai Jiao Tong University Shanghai 200240 PR China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 PR China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

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A MapReduce-based method for learning Bayesian network from massive data

A MapReduce-based method for learning Bayesian network from ...

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15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013

作者： Fang, Qiyu Yue, Kun Fu, Xiaodong Wu, Hong Liu, Weiyi Department of Computer Science and Engineering School of Information Science and Engineering Yunnan University 650091 Kunming China Key Laboratory of Software Engineering of Yunnan Province 650091 Kunming China Faculty of Information Engineering and Automation Kunming University of Science and Technology 650500 Kunming China

ISBN: (纸本)9783642374005

Bayesian network (BN) is the popular and important probabilistic graphical model for representing and inferring uncertain knowledge. Learning BN from massive data is the basis for uncertain-knowledge-centered inferences, prediction and decision. The inherence of massive data makes BN learning be adjusted to the large data volume and executed in parallel. In this paper, we proposed a MapReduce-based approach for learning BN from massive data by extending the traditional scoring & search algorithm. First, in the scoring process, we developed map and reduce algorithms for obtaining the required parameters in parallel. Second, in the search process, for each node we developed map and reduce algorithms for scoring all the candidate local structures in parallel and selecting the local optimal structure with the highest score. Thus, the local optimal structures of each node are merged to the global optimal one. Experimental result indicates our proposed method is effective and efficient. © 2013 Springer-Verlag.

关键词： MapReduce

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Locating and understanding concurrency bugs based on edge-labeled communication graphs 25

Locating and understanding concurrency bugs based on edge-la...

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25th International Conference on Software engineering and Knowledge engineering, SEKE 2013

作者： Li, He Lin, Mengxiang Jameel, Tahir Jiang, Zhenyuan State Key Laboratory of Software Development Environment Beihang University Beijing China School of Computer Science and Engineering Beihang University China School of Mechanical Engineering and Automation Beihang University China

ISBN: (纸本)1891706330

Concurrency bugs are difficult to locate and understand. This paper presents LUCON, a novel edge-labeled communication graph based technique, which locates the concurrency bugs and presents buggy access patterns and bug triggering scenarios to help programmers understand the bugs. The buggy access pattern gives the essence of the bug and the bug triggering scenario shows how the bug happens with the information of call stack and thread creation. A set of experimental studies have been conducted to evaluate the effectiveness of LUCON. The preliminary results show that LUCON can locate concurrency bugs accurately and the bug reports provided by LUCON can really help programmers understand the bugs. Copyright © 2013 by Knowledge Systems Institute Graduate School.

关键词： Graphic methods

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Pulse waveforms are an indicator of the condition of vascular system

Pulse waveforms are an indicator of the condition of vascula...

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World Congress on Medical Physics and Biomedical engineering

作者： Huotari, Matti Vehkaoja, Antti Määttä, Kari Kostamovaara, Juha Department of Computer Science and Engineering University of Oulu Pentti Kaiteran katu 1 Oulu Finland Department of Automation Science and Engineering Tampere University of Technology Tampere Finland Department of Electrical Engineering Electronics Laboratory University of Oulu Oulu Finland

ISBN: (纸本)9783642293047

Arterial stiffness index is one of the biomechanical indices of vascular healthiness. These indexes are based on detailed pulse waveform analysis which is presented here. After photoplethysmographyic (PPG) pulse wave measurement, we decompose the pulse waveform for the estimation and determination of arterial elasticity. Actually, it is electrooptically measured PPG signal that is analyzed and investigated by dividing each wave into five logarithmic normal function components. For the PPG waveform we can find a relative good fit between the original and overlapped and summed wave components. Each wave component is assumed to resemble certain phenomenon in the arteries and certain indexes can be calculated for example based on the mutual timing of the components. Several studies have demonstrated that these kinds of indexes which have been calculated based on actual biomechanical processes can predict future cardiovascular events. Many dynamic factors, e.g., arterial stiffness, depend on fixed structural features of the arterial wall. For more accurate description, arterial stiffness is indirectly estimated based on pulse wave decomposition analysis in the radial and tibial artery measured by PPG method in parallel. Elucidation of the precise relationship between endothelial function and arterial stiffness can be done through biomechanics. However, there is no clinically accepted technique for directly assessing the biomechanical properties of the arterial walls. Arterial wall elasticity awaits still further biomechanical studies with clinical relations and the influence of arterial flexibility, resistance and ageing inside of the radial pulse waveform. © 2013 Springer-Verlag.

关键词： Biomechanics

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