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An expert system realization of Adaptive Autonomy in electric Utility Management Automation

Journal of Applied Sciences 2009年第8期9卷 1524-1530页

作者： Fereidunian, A. Zamani, M.A. Lesani, H. Lucas, C. Lehtonen, M. Control and Intelligent Processing Center of Excellence School of ECE University of Tehran Iran Power Systems and High Voltage Laboratory Helsinki University of Technology FI-02015 HUT Finland

Earlier we introduced a novel framework for implementation of Adaptive Autonomy (AA). This study presents an expert system realization of the AA framework, referred to as Adaptive Autonomy Expert System (AAES). The proposed AAES is based on the extracted rules from the Expert's Judgment on proper Levels of Automation (LOA) for various environmental conditions, modeled as Performance Shaping Factors (PSFs). Decision fusion method is used as expert system inference engine, where eight decision fusion methods arc developed as prospective ones. The AAES is realized in the practical case of electric power Utilily Management Automation (UMA) for the Greater Tehran Electricity Distribution Company (GTEDC). The practical list of PSFs and the judgments of GTEDC's experts are used as the expert system rule base in this research. The results of implementing the proposed AAES to GTEDC's network are evaluated according to two criteria: average error and error margin. Five out of eight decision fusion methods arc proven to be suitable inference engines, due to both criteria. Evaluation of the results shows that the proposed AAES can estimate proper LOAs for GTEDC's UMA system, which change due to the changes in PSFs;thus providing a dynamic (adaptive) LOA scheme for UMA. © 2009 Asian Network for Scientific Information.

关键词： Engines

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Fuzzy controller for cooperative object pushing with variable line contact

Fuzzy controller for cooperative object pushing with variabl...

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International Conference on Mechatronics (ICM)

作者： Mahsa Aliakbar Golkar Sarah Taghavi Namin Hossein Aminaiee Control and Intelligent Processing Center of Excellence Robotics and AI Laboratory Department of Electrical and Computer Engineering University of Tehran Iran

Designing an appropriate cooperation protocol in multi-robot systems such as multi-robot object manipulation systems is a challenging task. In this paper designing and implementing a cooperation protocol between two robots pushing an object toward an arbitrary goal configuration is investigated. The proposed method benefits from task decoupling which simplifies the cooperation protocol design. Each robot gets its proper action from a particular fuzzy inference system independently. The fuzzy controllers outputs are low-level robot commands by which the need to a robot path planning algorithm is eliminated. Simulation results show that robots could push the object to the goal configuration cooperatively. Experiments have been conducted to approve the proposed system.

关键词： Fuzzy control Robot kinematics Protocols Fuzzy systems Electric variables control control systems Multirobot systems Path planning Inference algorithms Mobile robots

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Gait Recognition Using Wavelet Packet Silhouette Representation and Transductive Support Vector Machines

Gait Recognition Using Wavelet Packet Silhouette Representat...

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Congress on Image and Signal processing, CISP

作者： Farzin Dadashi Babak N. Araabi Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Hospital Detroit MI USA

Gait is an idiosyncratic biometric that can be used for human identification at a distance and as a result gained growing interest in intelligent visual surveillance. In this paper, an efficient gait recognition method based on describing subject outer body contour deformations using wavelet packets is proposed. With the use of matching pursuit algorithm, k bases of wavelet packet tree that have maximum similarity to the signal are selected and corresponding coefficients are used as features. Finally, transductive support vector machine (TSVM) classification is utilized on computed eigengait space for semi-supervised identification. The proposed method of selecting features which uses a complete orthogonal or near orthogonal basis from a wavelet packet library of bases and investigating the correlational structure of gait features for each individual using TSVM, result in encouraging identification performance.

关键词： Wavelet packets Support vector machines Matching pursuit algorithms Biometrics Humans Machine intelligence Surveillance Pursuit algorithms Support vector machine classification Libraries

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Neuro-fuzzy based fault diagnosis of a Steam Generator

Neuro-fuzzy based fault diagnosis of a Steam Generator

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7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical systems, SAFEPROCESS'09

作者： Razavi-Far, Roozbeh Davilu, Hadi Palade, Vasile Lucas, Caro Department of Nuclear Engineering Amirkabir University of Technology P.O. Box 15875 4413 Tehran Iran Computing Laboratory Oxford University Wolfson Building Parks Road Oxford OX1 3QD United Kingdom Center of Excellence on Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395 1515 Tehran Iran

ISBN: (纸本)9783902661463

This paper focuses on the development and application of a Neuro-Fuzzy (NF) networks-based scheme for Fault Detection and Isolation (FDI) in a U-tube Steam Generator (UTSG). First, a NF network is trained with data collected from a full scale UTSG simulator, and residuals are generated for fault detection. To identify the UTSG, a Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained using the Locally Linear Model Tree (LOLIMOT) algorithm which is an incremental tree structure algorithm. Then, an evolutionary algorithm is used to train a Mamdani type NF network to classify the residuals. The residuals are analyzed by using this NF classifier for fault isolation purposes. © 2009 IFAC.

关键词： Fault detection

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A new method for characterization of coronary plaque composition via IVUS images

A new method for characterization of coronary plaque composi...

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IEEE International Symposium on Biomedical Imaging

作者： Arash Taki Alireza Roodaki Olivier Pauly S. K. Setarehdan Gozde Unal Nassir Navab Department of Computer Aided Medical Procedures (CAMP) Technical University Munich Munich Germany Department of Signal Processing and Electronic Systems Supelec Gif-sur-Yvette France Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Faculty of Engineering and Natural Sciences Sabanci University Turkey

ISBN: (纸本)9781424439317

IVUS-derived virtual histology (VH) permits the assessment of atherosclerotic plaque morphology by using radiofrequency analysis of ultrasound signals. However, it requires the acquisition to be ECG-gated, which is a major limitation of VH. Indeed, its computation can only be performed once per cardiac cycle, which significantly decreases the longitudinal resolution of VH. To overcome this limitation, the introduction of an image-based plaque characterization is of great importance. Current IVUS image processing techniques do not allow adequate identification of the coronary artery plaques. This can be improved by defining appropriate features for the different kinds of plaques. In this paper, a novel feature extraction method based on Run-length algorithm is presented and used for improving the automated characterization of the plaques within the IVUS images. The proposed feature extraction method is applied to 200 IVUS images obtained from five patients. As a result an accuracy rate of 77% was achieved. Comparing this to the accuracy rates of 75% and 71% obtained using co-occurrence and local binary pattern methods respectively indicates the superior performance of the proposed feature extraction method.

关键词： Feature extraction Gray-scale Biomedical engineering Radio frequency Image resolution Signal processing Signal analysis Ultrasonic imaging Signal resolution Arteries

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Comparison of rotary cement kiln identified models

Comparison of rotary cement kiln identified models

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International Conference on control and Automation (ICCA)

作者： G. Noshirvani A. Fatehi B. Araabi M. Shirvani M. Azizi ACER Markaz Branch Arak Iran Advanced Process Automation & Control Research group Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Chemical Engineering Department and member of Cement Research Center University of Science and Technology Tehran Iran Saveh Cement Company Saveh Iran

Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.

关键词： Kilns Production facilities Coatings Building materials Process control Mathematical model Mathematics Programmable control Adaptive control Robust control

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NEURO-FUZZY BASED FAULT DIAGNOSIS OF A STEAM GENERATOR

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IFAC Proceedings Volumes 2009年第8期42卷 1180-1185页

作者： Roozbeh Razavi-Far Hadi Davilu Vasile Palade Caro Lucas Department of Nuclear Engineering Amirkabir University of Technology P.O. Box 15875-4413 Tehran Iran (Tel:+98-***) Computing Laboratory Oxford University Wolfson Building Parks Road Oxford OX1 3QD UK Center of Excellence on Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395-1515 Tehran Iran

关键词： Fault Diagnosis Neuro-Fuzzy Networks Locally Linear Neuro Fuzzy Model Locally Linear Model Tree Steam Generator

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OWA fuzzy linking histogram approach for image retrieval

OWA fuzzy linking histogram approach for image retrieval

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International Conference on Computational Cybernetics (ICCC)

作者： Maryam Tayefeh Mahmoudi Maedeh Beheshti Caro Lucas Fattaneh Taghiyareh Knowledge Engineering & Intelligent Systems Group Iran Telecom Research Center Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran School of computer engineering Iran University of Science and Technology Tehran Iran Control and Intelligent Processing Laboratory University of Tehran Tehran Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Color image histograms are very useful tools for content based image retrieval (CBIR) that can be applied on features such as colour, texture and shape. As these kinds of histograms results with large variations between neighbouring bins, they seem so sensitive to any kind of changes such as noise, illumination. To overcome this problem, in this paper, fuzzy linking histogram approach based on OWA aggregation operator is proposed, which is capable of projecting 3-dimensional (L*a*b*) colour histograms into single-dimension. The proposed method have been evaluated and compared with five other related methods in retrieving similar images from the common dataset which is available on http://***/~konkonst. The experimental results on 100 images within two categories of Cat and Sky reveals better performance of the proposed method in comparison with the other mentioned methods.

关键词： Open wireless architecture Joining processes Histograms Image retrieval Colored noise Color Content based retrieval Shape Noise shaping Lighting

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Directed epileptic network from scalp and intracranial EEG of epileptic patients

Directed epileptic network from scalp and intracranial EEG o...

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IEEE Workshop on Machine Learning for Signal processing

作者： L. Amini C. Jutten S. Achard O. David H. Soltanian-Zadeh G.A. Hossein-Zadeh P. Kahane L. Minotti L. Vercueil Grenoble INP GIPSA Laboratory Grenoble France Grenoble INP GIPSA-LAB Grenoble Cedex France Control and Intelligent Processing Center of Excellence (CIPCE) University of Tehran Tehran Tehran Iran CHUG Neurology Department GIN U836 INSERM Grenoble France Neurology Department CHUG Grenoble France Henry Ford Health System Radiology Image Analysis Laboratory Detroit MI USA

We proposed recently the computation of epileptic connectivity graphs based on wavelet correlation coefficients between EEG signals. The suspected epileptiform electrodes are recognized using the clustering of the topological properties of the graph that can be useful for pre-surgical studies. Here, we present a method for comparing epileptic networks estimated from scalp and intracranial EEG (IEEG) in partial epilepsy patients. The results are presented for a patient with left temporal epilepsy. Good spatial correspondence between the IEEG and the scalp EEG epileptic graphs is obtained. These results are consistent with the patient's clinical diagnosis.

关键词： Epilepsy Scalp Electroencephalography Electrodes Surgery Time frequency analysis Indium phosphide Radio control Process control control systems

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Is There any Analogy Between Foot Stability and Dynamic Grasp?

Is There any Analogy Between Foot Stability and Dynamic Gras...

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2008 IEEE/RSJ International Conference on intelligent Robots and systems, Pages 526-1042

作者： Adel Akbarimajd Majid Mili Ahmadabadi Robotics and AI Laboratory Control and Intelligent Processing Center of Excellence ECE Department University of Tehran Iran

ISBN: (纸本)9781424420575

Similarities between foot stability in single support phase of dynamic legged locomotion and dynamic grasp during nonprehensile carrying of an object on a palm are studied. Both foot stability and dynamic grasp conditions are driven mathematically. Then it is shown that these two conditions share the same basic dynamical concepts. It is also revealed that dynamic grasp and foot stability conditions have structurally the same equations when the palm -in object manipulation- and the ground -in legged locomotion- are horizontal. In this situation, parameters of the equations are very similar. It is demonstrated that the effects of violation of foot stability and dynamic grasp conditions are behaviorally the same. In addition to analytical discussions, some simulation examples in ADAMS are provided to validate the presented models and the results.

关键词： Foot Stability analysis Robots Legged locomotion Manipulator dynamics Robot kinematics Sufficient conditions

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