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2011 18th IEEE International Conference on Image Processing, ICIP 2011

作者： Kiss, Ákos Szirányi, Tamás Budapest University of Technology and Economics Dept. of Control Engineering and Information Technology Magyar tudósok körútja 2 H-1117 Budapest Hungary Computer and Automation Research Institute Hungarian Academy of Sciences Distributed Events Analysis Research Group Kende u. 13-17 H-1111 Budapest Hungary

ISBN: (纸本)9781457713033

In this paper we present a method for reconstructing static scene viewed through thick smoke using multiple images. Based on spatiotemporal statistical approach our method works well on noisy videos containing swirling smoke. We apply statistical analysis on regions of color input images, and show the way to reconstruct scene by transforming images to alter mean and deviation locally. We introduce a method to extract necessary parameters using multiple frames of a video. We verify our method with the widely used physical model of aerosols, highlighting some differences from removing haze and fog - a widely studied area. Furthermore, our approach eliminates the need for complex optimization, making real-time processing possible. Results show that our method is capable of reconstructing scene in challenging cases. © 2011 IEEE.

关键词： Smoke

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Gain-scheduling state-feedback control for LPV systems with multiple parameters

Gain-scheduling state-feedback control for LPV systems with ...

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Asian control Conference

作者： Bum Yong Park Poogyeon Park Sung Wook Yun Electrical and Computer Engineering Division Pohang University of Science and Technology Pohang Gyeongbuk South Korea Instrumentation and Control Research Group POSCO South Korea

This paper introduces linear parameter varying (LPV) model with multiple parameters in the parts affected by the state and the input (LPV-MP) and the state-feedback LPV controller to stabilize the nonlinear system by using the proposed model. Based on LPV-MP, we first formulate the stabilization conditions in terms of parameterized linear matrix inequalities (PLMIs) and design the state-feedback LPV controller using multiple parameters-dependent Lyapunov function (MPDLF). Then, PLMI conditions are converted into LMI conditions by using multiple parameter relaxation technique. The proposed method results in the reduced number of vertices of the polytope and thus results in the decreased computational burden compared with the conventional studies.

关键词： Nonlinear systems Relaxation methods Computational modeling Symmetric matrices Linear matrix inequalities control systems Electronic mail

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Novel emotion dynamic express for robot

Novel emotion dynamic express for robot

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Dong-Hwa Kim Péter Baranyi Department of Instrumentation and Control Engineering Hanbat National University Daejeon South Korea Head of Cognitive Informatics research group involved in the System and Control Laboratory Computer and Automation Research Institute (MTA-SZTAKI) Hungarian Academy of Sciences Hungary

This paper proposes the novel emotion dynamic equation for emotion implementation like human's emotion. Almost general method use artificial approach such as neutral networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning in robot system. The main idea of the proposed dynamic equation method is to dynamically express emotion by multi-agent function.

关键词： Robot sensing systems Humans Dynamics Face Equations

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A complete operational architecture of alert correlation

A complete operational architecture of alert correlation

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International Conference on Computational Aspects of Social Networks, CASON

作者： Fatemeh Amiri Hossein Gharaee Ali Reza Enayati Center of Excellence: Control and Intelligent Processing of Electrical and Computer Engineering University of Tehran Tehran Iran Network Security Group Iran Telecommunication Research Center Tehran Iran

To defend against various attacks, many security systems such as intrusion detection systems are deployed into hosts and networks to better protect digital assets. However, there are well-known problems related to the current intrusion detection systems. To better understand security threats from various sources and take appropriate response, it is necessary to perform alert correlation. This paper proposes a general alert correlation architecture, including four important components: log management, alert correlation, incident response and knowledge base system. The focus is to describe most important operations in alert correlation component. The proposed architecture includes anomaly-based analysis in alert correlation component. Different techniques for alert correlation are reviewed and compared. This study proposes that a hybrid model of multiple techniques leads to better performance of alert correlation engine.

关键词： Correlation Intrusion detection Knowledge based systems computer architecture Sensor phenomena and characterization

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Experiment design for Pauli channel estimation

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IFAC Proceedings Volumes 2011年第1期44卷 4344-4349页

作者： Gábor Balló Katalin M. Hangos Department of Electrical Engineering and Information Systems University of Pannonia Egyetem u. 10 H-8200 Veszprém Hungary Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary

Abstract Experiment design for quantum channel parameter estimation includes the design of the quantum input to the channel and the observables to be applied on the resulting quantum output system, called the experiment configuration. An experiment design procedure based on maximizing the Fisher information of the qubit Pauli channel parameters is presented in this paper. It can be shown that the Fisher information is a convex function in both the input and the experiment configuration parameters. This leads to an optimal setting that includes pure input states and projective measurements directed towards the channel directions. An iterative method of estimating the channel directions is also proposed.

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The linearity of optical tomography: Sensor model and experimental verification

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Sensors and Transducers 2011年第9期132卷 40-46页

作者： Mohd. Muji, Siti Zarina Abdul Rahim, Ruzairi Fazalul Rahiman, Mohd Hafiz Zakaria, Zulkarnay Mohamad, Elmy Johana Karis, Mohd Safirin Department of Computer Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Batu Pahat Johor Malaysia Process Tomography Research Group Control and Instrumentation Engineering Department Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Bahru Malaysia Tomography Imaging Research Group School of Mechatronic Engineering Universiti Malaysia Perlis 02600 Arau Perlis Malaysia

The aim of this paper is to show the linearization of optical sensor. Linearity of the sensor response is a must in optical tomography application, which affects the tomogram result. Two types of testing are used namely, testing using voltage parameter and testing with time unit parameter. For the former, the testing is by measuring the voltage when the obstacle is placed between transmitter and receiver. The obstacle diameters are between 0.5 until 3 mm. The latter is also the same testing but the obstacle is bigger than the former which is 59.24 mm and the testing purpose is to measure the time unit spend for the ball when it cut the area of sensing circuit. Both results show a linear relation that proves the optical sensors is suitable for process tomography application. © 2011 IFSA.

关键词： Optical tomography

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A Uniform Solution to Common Algorithmic Problem by Tissue P Systems with Cell Division

A Uniform Solution to Common Algorithmic Problem by Tissue P...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Yunyun Niu Linqiang Pan Mario J. Perez-Jimenez Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Sevilla Spain

Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model which has two basic characters: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount of cells in linear time and to design cellular solutions to computationally hard problems in polynomial time. We here present an effective solution to the common algorithmic decision problem using a family of recognizer tissue P systems with cell division.

关键词： Manganese Polynomials Biomembranes computer science Bismuth Radiation detectors Educational institutions

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Reconstructing static scene viewed through smoke using video

Reconstructing static scene viewed through smoke using video

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IEEE International Conference on Image Processing

作者： Ákos Kiss Tamás Szirányi Department of Control Engineering and Information Technology Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Computer and Automation Research Institute istributed Events Analysis Research Group Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In this paper we present a method for reconstructing static scene viewed through thick smoke using multiple images. Based on spatiotemporal statistical approach our method works well on noisy videos containing swirling smoke. We apply statistical analysis on regions of color input images, and show the way to reconstruct scene by transforming images to alter mean and deviation locally. We introduce a method to extract necessary parameters using multiple frames of a video. We verify our method with the widely used physical model of aerosols, highlighting some differences from removing haze and fog a widely studied area. Furthermore, our approach eliminates the need for complex optimization, making real-time processing possible. Results show that our method is capable of reconstructing scene in challenging cases.

关键词： Image reconstruction Image color analysis Mathematical model Aerosols Noise Streaming media Channel estimation

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An adaptive neuro fuzzy controller for cement kiln

An adaptive neuro fuzzy controller for cement kiln

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International Conference on Instrumentation control and Automation (ICA)

作者： Mehrad G. Sharabiany Alireza Fatehi Babak N. Araabi AP AC Research Group Faculty of Electrical & ComputerEngineering K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper a neural- fuzzy controller is used to control cement kiln. The fuzzy controller is in the TSK form. The controller is trained during the control action due to cope with the plant changes. The most important aspects of this controller are first using couple of smaller controllers instead of a complete centralized one and second using the same framework that kiln operators use .i.e. the input variables that the controller use are the same input variables that the kiln operators use to control the same controlled variables. Joint together, decentralized fuzzy controller instead of a centralized fuzzy one has fewer parameters which need less memory and processing power of the controller. The proposed controller is tested on a simulator model which made on the real data of Saveh cement factory. The simulation results show the efficiency of the proposed controller.

关键词： Heating Fuels

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A DLQR applied to boost converters with switched loads: Design and analysis

A DLQR applied to boost converters with switched loads: Desi...

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Brazilian Power Electronics Conference, COBEP

作者： Vinícius F. Montagner Luiz A. Maccari Fabrício H. Dupont Humberto Pinheiro Ricardo C. L. F. Oliveira Power Electronics and Control Research Group-GEPOC Federal University of Santa Maria Santa Maria Rio Grande do Sul Brazil School of Electrical and Computer Engineering University of Campinas-UNICAMP Campinas Sao Paulo Brazil

In this paper, the design and the experimental validation of a discrete linear quadratic regulator applied to boost converters with switched loads are investigated. The closed-loop system stability under arbitrary switching is ensured by means of the existence of a switched Lyapunov function, obtained by means of linear matrix inequalities, which is the main contribution of this work. The control law is implemented using a digital signal processor. Experimental results reveal the good transient and steady state performances as well as demonstrate a strong correspondence with the simulation, proving the practical viability of the proposed procedure.

关键词： Switches Load modeling Lyapunov methods Stability analysis Linear systems Transient analysis

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