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2012 IEEE 6th International Conference on systems Biology, ISB 2012

作者： Gong, Xiu-Jun Yu, Hua Zhao, Fei-Fei School of Computer Science and Technology Tianjin University Tianjin China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781467343985

Identification and analysis of tissue-specific (TS) genes and their regulatory activities play an important role in the understanding of mechanisms of organisms, disease diagnosis and drug design. In this paper, we designed a pipeline for the discovery of promoter motifs for tissue-specific genes. The pipeline consists of three phases: motif searching, motif merging and motif validation. The motif searching phase integrated three algorithms: MEME, AlignACE and Gibbs Sampling. In the second phase, we proposed a motif merging method, which is based on Bayesian probabilistic principles, to reduce redundancies of motifs from the first phase. Lastly, the motif validation phase verified the statistical significance of discovered motifs using a Bayesian Hypothesis Test approach. We performed the analysis on the sequences of promoter regions (-449bp-1000bp) of 4,552 human tissue-specific genes across 82 tissues and 924 housekeeping genes. The distributions of motifs in different promoter regions show that most motifs prefer to be in the proximal region (+500∼50bp, -50bp∼-500bp) of promoters. © 2012 IEEE.

关键词： Pipelines

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Map building for dynamic environments using grid vectors

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Journal of Zhejiang University-Science C(Computers and Electronics) 2011年第7期12卷 574-588页

作者： Wen-fei WANG,Rong XIONG ,Jian CHU (state key laboratory of industrial control technology,institute of cyber-systems and control,Zhejiang University,Hangzhou 310027,China) State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University

This paper addresses the problem of creating a geometric map with a mobile robot in a dynamic indoor *** form an accurate model of the environment,we present a novel map representation called the 'grid vector',which combines each vector that represents a directed line segment with a slender occupancy grid map.A modified expectation maximization (EM) based approach is proposed to evaluate the dynamic objects and simultaneously estimate the robot path and the map of the *** probability of each grid vector is evaluated in the expectation step and then used to distinguish the vector into static and dynamic *** robot path and map are estimated in the maximization step with a graph-based simultaneous localization and mapping (SLAM) *** representation we introduce provides advantages on making the SLAM method strictly statistic,reducing memory cost,identifying the dynamic objects,and improving the accuracy of the data *** SLAM algorithm we present is efficient in computation and *** on three different kinds of data sets show that our representation and algorithm can generate an accurate static map in a dynamic indoor environment.

关键词： Grid vector Line Segments Dynamic Simultaneous localization and mapping (SLAM) Expectation maximization (EM)

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ACP based 3D emergency drills system for petrochemical plants

ACP based 3D emergency drills system for petrochemical plant...

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10th World Congress on Intelligent control and Automation, WCICA 2012

作者： Jing, Sifeng Cheng, Changjian Xiong, Gang Liu, Xiwei Shang, Xiuqin Wang, Weixing State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Industrial Technology Innovation and Incubation Center Chinese Academy of Sciences Songshan-Lake 523808 China

ISBN: (纸本)9781467313988

To further enhance emergency management skills of an organisation's emergency response personnel, emergency response training,especially 3D emergency drill, is currently becoming more and more important in the petrochemical sector. So, a novel 3D emergency drills system is designed and developed based on ACP approach, which can be used for mocking emergency response plan drills and evaluating the plan. A case study reveals that the performance of the system is good and the system can meet the needs of emergency response training and optimizing emergency response plan in petrochemical plants. © 2012 IEEE.

关键词： Personnel training

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Nonlinear Dynamic Process Monitoring Based on Kernel Partial Least Squares

Nonlinear Dynamic Process Monitoring Based on Kernel Partial...

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American control Conference

作者： Qiaojun Wen Zhiqiang Ge Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 Zhejiang China

ISBN: (纸本)9781457710957

Nonlinearity and dynamic are two typical behaviors that widely present in industrial processes. The monitoring performance of multivariable statistical process control techniques will be degraded if those two behaviors are not well addressed. In this paper, a kernel partial least squares (KPLS) based nonlinear state space model is proposed to model the process, which can handle the nonlinear and dynamic data behaviors simultaneously. Due to the non-Gaussian distribution of the nonlinear scores in the KPLS model, support vector data description is introduced for modeling and the corresponding statistic is constructed for monitoring. Two case studies are provided for performance evaluation of the proposed method.

关键词： Monitoring Kernel Process control Feeds Data models Inductors Principal component analysis

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Fitting a functional structural plant model based on global sensitivity analysis

Fitting a functional structural plant model based on global ...

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2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012

作者： Lin, Yubin Kang, Mengzhen Hua, Jing National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467304283

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysis method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs. © 2012 IEEE.

关键词： Sensitivity analysis

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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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Carrier-based sensor deployment by a mobile robot for wireless sensor networks

Carrier-based sensor deployment by a mobile robot for wirele...

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2012 12th International Conference on control, Automation, Robotics and Vision, ICARCV 2012

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing China

ISBN: (纸本)9781467318716

We consider a realistic wireless sensor deployment strategy by which mobile robot deploys sensor nodes when it moves along the linear backbone network with some branches. Because of its finite load capacity, the robot has to repeatedly move back to the position where all sensors are temporarily stored and reload sensor nodes, which leads to the robot has to travel the path many times and consumes more energy. We present a Shortest Traveling Path for Robot (STPR) algorithm by which the robot can reduce the traveling path and achieve the required coverage. All nodes are stored at the temporary starting point and mobile robot continuously loads sensors and moves to the destination, dropping some sensor to meet the basic coverage and connectivity requirements. The mobile robot arrives at the far intersection and deploys sensors along the branches in accordance with the algorithm rules, and then returns the recent branch when having enough sensors. Otherwise the robot moves back and deploys sensors on the back path. The robot reloads sensors and repeats the deployment process until all the branches and backbone is finished. The paper proves that the algorithm is effective compared with the common methods. Simulation results show that the algorithm effectively reduces the moving distance at the randomly generated network. © 2012 IEEE.

关键词： Mobile robots

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Artificial power system based on ACP approach

Artificial power system based on ACP approach

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Dong, Xisong Xiong, Gang Hou, Jiachen Fan, Dong State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

Modern power system is a typical multi-level complex giant system consisting of physical infrastructures, human operators, and social resources, etc. The conventional analytical methods and simulation systems can't provide sufficient guidance for its operation and management, because they are mainly based on physical models, natural phenomenon, or other existing control methods which are based on reductionism. ACP approach, mainly consisting of artificial systems (A), computational experiments (C) and parallel execution (P), which is based on holism and complex system theory, has its specific advantages in the research on power systems. In this article, ACP approach is applied to build up artificial power system (APS) by using multi-agent complex networks. With the help of APS, actual power system's control, scheduling, optimization and management can be improved further via providing theoretical guidance and technical support for the rolling optimizations in normal situations and emergency management in abnormal situations. As a case study, an APS constructed with actual data from North China power grid is constructed and its vulnerability is simulated and analyzed under random, dynamic and static attacks. © 2012 IEEE.

关键词： Complex networks

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Composite service execution Petri Net and service composition optimization

Composite service execution Petri Net and service compositio...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Liu, Sheng Liu, Xiwei Zhao, Hongxia Fu, Wei State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing 100190 China School of International Trade and Economics University of International Business and Economics Beijing 100029 China

ISBN: (纸本)9781467324007

Web services are becoming the most promising technology for cloud computing. When a single web service fails to satisfy service requestor's multiple function demands, web services need to be configured together to form a service composition with cost and other constraints. It is hard to obtain an optimal service composition by the existing service composition methods because the analysis of its dynamic execution process is neglected. This paper uses Petri Net to model and analyze the dynamic execution processes of service compositions. The effect of composite services reliability on the composite service performance is taken into account. The method regards the cost averaged for one time of successful execution of a composite as its actual executing cost, and then selects the composite services with the aim of minimizing the composite service execution cost. The simulation result shows that the proposed method is superior to other methods in execution cost. © 2012 IEEE.

关键词： Quality of service

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Bottleneck Prediction Method Based on Improved Adaptive Network-based Fuzzy Inference System (ANFIS) in Semiconductor Manufacturing System

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Chinese Journal of Chemical Engineering 2012年第6期20卷 1081-1088页

作者：曹政才邓积杰刘民王永吉 College of Information Science and Technology Beijing University of Chemical Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Tsinghua National Laboratory for Information Science and Technology State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China

Semiconductor manufacturing (SM) system is one of the most complicated hybrid processes involved continuously variable dynamical systems and discrete event dynamical systems. The optimization and scheduling of semiconductor fabrication has long been a hot research direction in automation. Bottleneck is the key factor to a SM system, which seriously influences the throughput rate, cycle time, time-delivery rate, etc. Efficient prediction for the bottleneck of a SM system provides the best support for the consequent scheduling. Because categorical data (product types, releasing strategies) and numerical data (work in process, processing time, utilization rate, buffer length, etc.) have significant effect on bottleneck, an improved adaptive network-based fuzzy inference system (ANFIS) was adopted in this study to predict bottleneck since conventional neural network-based methods accommodate only numerical inputs. In this improved ANFIS, the contribution of categorical inputs to firing strength is reflected through a transformation matrix. In order to tackle high-dimensional inputs, reduce the number of fuzzy rules and obtain high prediction accuracy, a fuzzy c-means method combining binary tree linear division method was applied to identify the initial structure of fuzzy inference system. According to the experimental results, the main-bottleneck and sub-bottleneck of SM system can be predicted accurately with the proposed method.

关键词： semiconductor manufacturing system bottleneck prediction adaptive network-based fuzzy inference system

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