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Fitting a functional structural plant model based on global sensitivity analysis

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

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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Simulating Plant Plasticity under Light Environment: A Source-Sink Approach

Simulating Plant Plasticity under Light Environment: A Sourc...

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IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)

作者： Wang, Haoyu Kang, Mengzhen Hua, Jing Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Chinese Acad Sci LIAMA Inst Automat Beijing 100864 Peoples R China

ISBN: (纸本)9781467300704;9781467300674

Simulation of plant structure competing for light source has mostly been done by directly modifying plant structure according to light interception. Functional-structural plant models, however, emphasize the influence of light interception on biomass production, and consequently plant structure. In this paper, we integrate a light distribution model with Greenlab model, which used Beer-Law in computing biomass production. By replacing Beer-Law with a light interception model for biomass production, the combined model was able to simulate the effect of light condition on plant structure through source-sink regulation. The positive and negative sides of this approach are discussed.

关键词： Plant Growth Light Environment Source-Sink Photon Mapping

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Identifying Important Users in Sina Microblog

Identifying Important Users in Sina Microblog

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4th International Conference on Multimedia Information Networking and Security (MINES)

作者： Liu, Jiaqi Cao, Zhidong Cui, Kainan Xie, Feng Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol Dept Automat Beijing Peoples R China

ISBN: (纸本)9780769548524;9781467330930

Important users are high-status vertices in social networks. They are everywhere in most fields of society and have big impact on those around them. Although a lot of effort has been made on identifying important users, the efficient methods still need to be developed, especially for the web users from Sina microblog, which is the most popular social networking sites in China and has unique characteristics. In this paper, a machine learning-based method which only uses several attributes on Naive Bayes Classifiers (NBC) and Back Propagation Neural Network (BPNN) was proposed to identify important users. Initial experiments indicate that our method is effective. The result of "high" category has more than 55% accuracy rate. We find the NBC can identify more important users while BPNN has higher accuracy rate. What's more, the numbers of follower and followings in Sina microblog is independent.

关键词： important users social network Sina microblog Naive Bayes Classifiers Back Propagation Neural Network

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Dynamic Modeling and Vibration Mode Analysis for an Industrial Robot with Rigid Links and Flexible Joints

Dynamic Modeling and Vibration Mode Analysis for an Industri...

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24th Chinese control and Decision Conference (CCDC)

作者： Qiang, Yanhui Jing, Fengshui Zeng, Junfang Hou, Zengguang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Beijing Sciample Technol Co Ltd Beijing 100190 Peoples R China

ISBN: (纸本)9781457720727

Nowadays, most industrial robots have been designed to be mechanically stiff with rigid link. When a robot with heavy payload is running in fast motions, the residual vibrations of the end-effector are primary caused by joint flexibility. Therefore, the flexibility of joint cannot be neglected. This paper presents a systematic approach to dynamic modeling and residual vibration mode analysis for an industrial robot with rigid links and flexible joints (RLFJ). First, the flexibility of the joint is modeled as a torsional spring and the dynamic equations for this robot are derived by using Lagrange's method. Then, to examine residual vibration properties of the system, numerical simulation is carried out. The following important conclusions are drawn from simulation results: (1) the proposed dynamic model can represent joint flexibility of industrial robot and the joint flexibility causes the residual vibration of the end-effector;(2) for a given RLFJ model, the residual vibration is mainly affected by the payload mass, path of the task and joint stiffness.

关键词： Dynamic Model Flexible Joint Residual Vibration Industrial Robot

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SVM-based just-in-time adaptive classifiers 1

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19th International Conference on Neural Information Processing, ICONIP 2012

作者： Alippi, Cesare Bu, Li Zhao, Dongbin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dipartimento di Elettronica e Informazione Politecnico di Milano 20133 Milano Italy

ISBN: (数字)9783642344817

ISBN: (纸本)9783642344800

Aging of sensors, faults in the read-out electronics and environmental changes are some immediate examples of time variant mechanisms violating that stationarity hypothesis mostly assumed in the design of classification systems. Such changes, known in the related literature as concept drift, modify the probability density function of measurements, hence impairing the accuracy of the classifier. To cope with these mechanisms, active classifiers such as the Just-in-time adaptive ones, are needed to detect a change in stationarity and modify the classifier configuration accordingly to track the process evolution. At the same time, when the process is stationary, new available supervised information is integrated in the classifier to improve over time its classification accuracy. This paper introduces a JIT adaptive classifier based on support vector machines able to track changes in the process generating the data with computational complexity and memory requirements well below that of current JIT classifiers integrating k-nearest neighbor solutions. © 2012 Springer-Verlag.

关键词： Support vector machines

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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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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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Opening Doors to Sharing Social Media Data

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IEEE INTELLIGENT systems 2012年第1期27卷 47-51页

作者： Morstatter, Fred Liu, Huan Zeng, Daniel Arizona State Univ Data Min & Machine Learning Lab DMML Tempe AZ 85287 USA Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Beijing 100864 Peoples R China Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA

Research data sharing becomes increasingly difficult in the context of social media. Increasing restrictions from social media sites are creating an environment where data cannot be freely shared and as a result scientific claims cannot be verified. In this work, we present a novel approach to data sharing that does not require explicitly publishing a dataset. We create a framework where researchers systematically share the parameters they used to crawl the dataset along with the code used to collect the data, allowing the reader to re-assemble the dataset at a later time. While this approach is by no means a silver bullet, we seek to start a conversation for researchers to implement approaches to data sharing that can be embraced by the research community. Adapted from the source document.

关键词： Social network services Media Collaboration Information sharing Social Computing Data Sharing Social Media Data Distribution Policy Reproducibility

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Mining actionable behavioral rules

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DECISION SUPPORT systems 2012年第1期54卷 142-152页

作者： Su, Peng Mao, Wenji Zeng, Daniel Zhao, Huimin Shandong jianzhu Univ Sch Management Engn Jinan 250101 Shandong Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA Univ Wisconsin Sheldon B Lubar Sch Business Milwaukee WI 53201 USA

Many applications can benefit from constructing models to predict the behavior of an entity. However, such models do not provide the user with explicit knowledge that can be directly used to influence (restrain or encourage) behavior for the user's interest. Undoubtedly, the user often exactly needs such knowledge. This type of knowledge is called actionable knowledge. Actionability is a very important criterion measuring the interestingness of mined patterns. In this paper, to mine such knowledge, we take a first step toward formally defining a new class of data mining problem, named actionable behavioral rule mining. Our definition explicitly states the problem as a search problem in a framework of support and expected utility. We also propose two algorithms for mining such rules. Our experiment shows the validity of our approach, as well as the practical value of our defined problem. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Data mining Actionable knowledge discovery Actionable behavioral rule

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Development of the control System and Communication Network for Intelligent SF6 High Voltage Circuit-Breaker

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Procedia Engineering 2012年 29卷 1690-1696页

作者： Qingchang Hao Guodong Yang Degang Yang En Li Zize Liang Dezheng Zhao State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences BeiJing 100190 China

This paper analyses the cause of the major faults of the SF6 high voltage circuit breaker, and then introduces a solution using an embedded control system. The control system consists of the controller for every breaker and a supervisor control system in the control center. Then a double-annular fiber field-bus communication network for the control system is introduced, of which the data link layer is implemented by the CAN controller. According to the operation state of every node and the fiber, the fiber communication module of every node can be configured to several different transmission modes. Due to the influence of temperature, the empirical formula of Beattie-Bridgman is used to calculate the pressure of SF6.

关键词： circuit breaker fiber communication CAN SF6 Beattie-Bridgman

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