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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Peng, Yong Wang, Suhang Wang, Shen Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong Unviersity Shanghai 200240 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States MOE-Microsoft Key Lab. for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong Unviersity Shanghai 200240 China

ISBN: (纸本)9783642420412

Constructing an informative and discriminative graph plays an important role in the graph based semi-supervised learning methods. Among these graph construction methods, low-rank representation based graph, which calculates the edge weights of both lab.led and unlab.led samples as the low-rank representation (LRR) coefficients, has shown excellent performance in semi-supervised learning. In this paper, we additionally impose twofold constraints (local affinity and distant repulsion) on the LRR graph. The improved model, termed structure preserving LRR (SPLRR), can preserve the local geometrical structure but without distorting the distant repulsion property. Experiments are taken on three widely used face data sets to investigate the performance of SPLRR and the results show that it is superior to some state-of-the-art semi-supervised graphs. © Springer-Verlag 2013.

关键词： Face recognition

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Novelty detection using sparse online Gaussian Processes for visual object recognition

Novelty detection using sparse online Gaussian Processes for...

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26th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2013

作者： Ramirez-Padron, Ruben Mederos, Boris Gonzalez, Avelino J. Intelligent Systems Lab. Department of Electrical Engineering and Computer Science University of Central Florida United States Departamento de Física Y Matemática Instituto de Ingeniería Y Tecnología Universidad Autónoma de Ciudad Juárez Mexico

ISBN: (纸本)9781577356059

Gaussian processes (GPs) have been shown to be highly effective for novelty detection through the use of different membership scores. However, applications of GPs to novelty detection have been limited only to batch GP, which require all training data at once and have quadratic space complexity and cubic time complexity. This paper proposes the use of sparse online GP (SOGP) for novelty detection, overcoming these limitations. Our experiments show that SOGP-based novelty detection is capable of achieving performances similar to those from batch GP, even under strong sparseness constraints. Additionally, it is suggested here that membership scores that combine the posterior mean and the posterior variance of the GP might be better fitted to novelty detection than scores leveraging only one of the two posterior moments. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Gaussian noise (electronic)

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High-temperature deformation behavior of carbon steel containing dispersed fine voids

High-temperature deformation behavior of carbon steel contai...

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8th Pacific Rim International Congress on Advanced Materials and Processing 2013, PRICM 8

作者： Okonogi, Makoto Yoshinaga, Naoki Miura, Hiromi Kimitsu R and D Lab. Nippon Steel and Sumitomo Metal Corporation 1 Kimitsu Kimitsu Chiba 299-1141 Japan Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo 182-8585 Japan

ISBN: (纸本)9781632660008

Carbon steels either with or without dispersed fine voids were deformed in compression at elevated temperatures and at various strain rates. All the flow curves exhibited typical feature of those accompanied by occurrence of work softening due to dynamic recrystallization. The deformation behavior, however, clearly changed by the presence of voids. The yield stresses and maximum flow stresses of the carbon steel with voids became higher compared with those without voids. Still more, the dispersed fine voids delayed the onset of dynamic recrystallization. The shape and distribution of the voids drastically changed depending on the testing condition, i.e., smaller void size and lower aspect ratio of the void shape were achieved at the lower strain rate and at higher temperature. The effects of the dispersed fine voids on high temperature deformation behavior were discussed in relation with dynamic recrystallization, grain boundary migration, grain boundary sliding and relaxation.

关键词： Deformation

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Online balance strategy on byproduct gas in iron and steel industry

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Xitong Gongcheng Lilun yu Shijian/System engineering Theory and Practice 2013年第6期33卷 1486-1491页

作者： Cao, Yong-Feng Xu, Yin-Feng School of Management Xi'an Jiaotong University Xi'an 710049 China Ministry of Education Key Lab. for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an 710049 China The MOE Key Lab. for Process Control and Efficiency Engineering Xi'an Jiaotong University Xi'an 710049 China

This paper develops a new framework for the analysis of byproduct gas supply in iron and steel industry. Based on the online theory, this paper studies the online balance assignment problem of the byproduct gas. In the production process, the online decision maker makes decisions to balance the supply of byproduct gas in the online case. Under some reasonable assumptions, the paper constructs a balance assignment model of the byproduct gas to solve the balance range unknown problem. First, this researcher attempts to analyze the special nature of the offline case and the characteristics of the online case under different scenes. Then the paper designs an online balance strategy with a competitive ratio of (1+3M/m)/4 without the knowledge of supply interval. This study provides some ideas and theories for the balance assignment and use of the byproduct in manufacture industry.

关键词： Steelmaking

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A New Evolutionary-Incremental Framework for Feature Selection

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Advances in Artificial Intelligence 2014年第1期2014卷

作者： Mohamad-Hoseyn Sigari Muhammad-Reza Pourshahabi Hamid-Reza Pourreza Machine Vision Research Lab. Computer Engineering Department Ferdowsi University of Mashhad Mashhad 91779 Iranum.ac.ir Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran 14399 Iranut.ac.ir

Feature selection is an NP-hard problem from the viewpoint of algorithm design and it is one of the main open problems in pattern recognition. In this paper, we propose a new evolutionary-incremental framework for feature selection. The proposed framework can be applied on an ordinary evolutionary algorithm (EA) such as genetic algorithm (GA) or invasive weed optimization (IWO). This framework proposes some generic modifications on ordinary EAs to be compatible with the variable length of solutions. In this framework, the solutions related to the primary generations have short length. Then, the length of solutions may be increased through generations gradually. In addition, our evolutionary-incremental framework deploys two new operators called addition and deletion operators which change the length of solutions randomly. For evaluation of the proposed framework, we use that for feature selection in the application of face recognition. In this regard, we applied our feature selection method on a robust face recognition algorithm which is based on the extraction of Gabor coefficients. Experimental results show that our proposed evolutionary-incremental framework can select a few number of features from existing thousands features efficiently. Comparison result of the proposed methods with the previous methods shows that our framework is comprehensive, robust, and well-defined to apply on many EAs for feature selection.

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Iterative learning control for farm vehicle trajectory tracking

Iterative learning control for farm vehicle trajectory track...

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第三十二届中国控制会议

作者： Xuhui BU Zhongsheng HOU Fashan YU School of Electrical Engineering & Automation Henan Polytechnic University Advanced Control Systems Lab. School of Electronics and Information EngineeringBeijing Jiaotong University

ISBN: (纸本)9781479900305

Duo to the periodicity of farm cropping, harvesting, seeding and spraying, the farm vehicle often operates the repetitive task. This paper considers the problem of iterative learning control for farm vehicle trajectory tracking. Two-wheel mobile robot kinematic model of farm vehicle is first established, and then the D-type iterative learning control law is designed. The convergence of the proposed iterative learning control law for farm vehicle is analyzed. It is shown that perfect tracking performance of farm vehicle can be obtained after some iteration. Two examples are also given to illustrate the effectiveness of the proposed approach.

关键词： Iterative learning control, farm vehicles, mobile robot, trajectory tracking

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Design and implementation of automatic voltage control system applied to a power grid in Northeast US

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Dianwang Jishu/Power System Technology 2013年第2期37卷 349-355页

作者： Zhang, Mingye Guo, Qinglai Sun, Hongbin Tong, Jianzhong Zhang, Boming Wu, Wenchuan Wang, Bin State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China PJM Interconnection PA 19403 United States

With the raising of requirement of power grid operation to voltage control and reactive power management level, automatic voltage control (AVC) becomes a hot spot in the research. Due to the constraints in the management mode, the applied research of AVC is hitherto a blank in North America power grids. An AVC system, which is suitable to special management modes of a certain interconnected power grid in Northeast U. S. and can meet the demand of on-line operation, is designed and implemented. In the designed system, phase shifter models are added into power flow modules and during the computation of control strategy by optimal power flow (OPF) the static security constraints after the assumed faults are considered. Both the data and assessment results of long-term on-line trail-operation show that the reactive power and voltage level of the interconnected power grid can be improved by applying the designed AVC system, and both security and economy of the interconnected power grid can be enhanced.

关键词： Electric power system control

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A non-iterative affine arithmetic methodology for interval power flow analysis of transmission network

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Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical engineering 2013年第19期33卷 76-83页

作者： Ding, Tao Bo, Rui Guo, Qinglai Sun, Hongbin Wu, Wenchuan Zhang, Boming State Key Lab. of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Midwest ISO St. Paul 55108 United States

Power flow exhibits uncertainty when power injections randomly fluctuate. The variables of power flow problem are correlated through the constraints set forth by power flow equations. Affine arithmetic can effectively overcome the correlation and therefore is adopted in this paper. In order to improve the computational efficiency, non-iterative method was proposed, which can transform the interval power flow problem into optimization problems. Linear programming, nonlinear programming and quadratic programming optimization models were established to obtain intervals of nodal voltage magnitude, phase angle, branch active power and reactive power, respectively. Simulation results of 9-bus and 57-bus test system show that the power flow interval obtained by the proposed algorithm is nearly the same as that by iterative algorithms, whereas the branch power flow results are better. The interval power flow problem can be solved quickly and efficiently with time complexity approximately O(m3). As well, parallel computing can be implemented to achieve promising improvement in computation time. © 2013 Chinese Society for Electrical engineering.

关键词： Quadratic programming

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Rejection of multiharmonic disturbance approach based on simple adaptive control principle

Rejection of multiharmonic disturbance approach based on sim...

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11th IFAC International Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2013

作者： Bobtsov, Alexey A. Kolyubin, Sergey A. Pyrkin, Anton A. Department of Control Systems and Informatics Saint Petersburg National Research University of Information Technologies Mechanics and Optics Kronverkskiy pr. 49 St.-Petersburg 197101 Russia Control of Complex Systems Lab. Institute for Problems of Mechanical Engineering RAS Bolshoy pr. V.O. 61 St.Petersburg 199178 Russia Department of Enginnering Cybernetics Norwegian University of Science and Technology NO-7491 Trondheim Norway

ISBN: (纸本)9783902823373

This paper deals with control algorithms development for output stabilization of the parametrically uncertain linear plant of unknown relative degree. Simple adaptive control paradigm lies in the basis of proposed approach. controller was supplemented with the switching-based scheme of substitution of multiharmonic external disturbance frequencies' estimations that improves controller performance without its significant complication. Stability analysis of the closed-loop hybrid system was conducted and corresponding conditions on switching parameters were stated. © IFAC.

关键词： Disturbance rejection

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Optimal placement of wind turbines: Improved honey bee mating optimization

Optimal placement of wind turbines: Improved honey bee matin...

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2013 International Conference on Artificial Intelligence, ICAI 2013

作者： Shayanfar, H.A. Abedinia, O. Amjady, N. Tohidi, A. Electrical Eng. Department Islamic Azad University South Tehran Branch Tehran Iran Electrical Engineering Department Semnan University Semnan Iran Advanced Control Systems Lab. K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)1601322461

Small scale wind turbines can be used in indoor facilities that are mainly either stand-alone or grid-connected systems. With grid contiguous turbines, the output from the wind turbine is directly connected to the existing mains electricity supply. For this purpose Improved Honey Bee Mating Optimization (IHBMO) technique is considered as an optimization algorithm to power system. Also the wind farm in form of doubly fed induction generator penetrating is formulated into a power system. Several technical issues arise with the close spacing of multiple wind turbines in a wind farm, individually one with a severely limited spatial footprint. Wake effect is one of the most important agents under consideration that can lead to fluctuations in the output power of a wind farm and significantly decrease its energy production. Thus it is desired to determine optimal positions for installing multiple wind turbines. In this paper we minimize the fuel cost and emission of thermal units simultaneously by changing the location and varying the sizes of wind farm. Simulation results show the effectiveness of our propose algorithm.

关键词： Electric power transmission networks

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