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IEEE International Conference on Image Processing

作者： Eunjung Chae Eunsung Lee Wonseok Kang Younghoon Lim Junghoon Jung Taechan Kim Aggelos K. Katsaggelos Joonki Paik Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea System LSI Samsung Electronics Co. Ltd Suwon Korea Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208 USA

ISBN: (纸本)9781479923427

We present an antialiasing method using combined wavelet-Fourier transform and spatially adaptive shrinkage of the transform coefficients. Traditional antialiasing methods employ a simple low-pass filter onto the entire image, so the resulting image loses not only aliasing artifacts but also high-frequency components such as edges and ridges. The proposed algorithm analyzes the property of the LL subband of the discrete wavelet transform (DWT), and reduces aliasing artifacts using patch-adaptive shrinkage of the DWT coefficients. More specifically, an antialiased LL subband is obtained using adaptive patch-based aliasing reduction. To detect an aliased region, we subtract the discrete Fourier transform (DFT) coefficients of the LL subband from the DFT coefficients of antialiased LL subband. The detected aliasing artifacts in the LH, HL, and HH subbands are reduced by patch-wise adaptive shrinkage of the transform coefficients. The resulting antialiased image is obtained using the inverse DWT. The aliasing artifacts can be efficiently reduced by adaptively shrinking wavelet transform coefficients for preserving high-frequency image details. The proposed antialiasing algorithm is suitable for removing aliasing artifacts which frequently occur in imaging sensors with limited resolution.

关键词： Anti-aliasing wavelet-Fourier transform image enhancement patch-adaptive shrinkage antialiasing image enhancement Aliasing shrinkage Artifacts subband domain analysis Coefficients Sensors (image) Frequency-domain analysis discrete Fourier transform

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Graphic Processing Unit-Accelerated Neural Network Model for Biological Species Recognition

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Journal of Donghua University(English Edition) 2012年第1期29卷 5-8页

作者：温程璐潘伟陈晓熹祝青园 Department of Cognitive Science Xiamen University Fujian Provincial Key Laboratory of Brain-Like Intelligent Systems Department of Computer Science Xiamen University Department of Mechanical and Electrical Engineering Xiamen University

A graphic processing unit (GPU)-accelerated biological species recognition method using partially connected neural evolutionary network model is introduced in this paper. The partial connected neural evolutionary network adopted in the paper can overcome the disadvantage of traditional neural network with small inputs. The whole image is considered as the input of the neural network, so the maximal features can be kept for recognition. To speed up the recognition process of the neural network, a fast implementation of the partially connected neural network was conducted on NVIDIA Tesla C1060 using the NVIDIA compute unified device architecture (CUDA) framework. Image sets of eight biological species were obtained to test the GPU implementation and counterpart serial CPU implementation, and experiment results showed GPU implementation works effectively on both recognition rate and speed, and gained 343 speedup over its counterpart CPU implementation. Comparing to feature-based recognition method on the same recognition task, the method also achieved an acceptable correct rate of 84.6% when testing on eight biological species.

关键词： graphic processing unit(GPU) compute unified device architecture (CUDA) neural network species recognition

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Guest Editorial: intelligent Information Technology in Agriculture

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intelligent Automation & Soft Computing 2013年第3期19卷 227-229页

作者： Dong Ren[a] Chunjiang Zhao[b] & Simon X. Yang[c] [a] College of Computer and Information Technology China Three Gorges University Yichang 443002 P.R. China [b] Beijing Research Center for Information Technology in Agriculture Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 P.R. China [c] Advanced Robotics and Intelligent Systems (ARIS) Laboratory School of Engineering University of Guelph Guelph Ontario N1G 2W1 Canada

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SmartParks for short term power flow control in smart grids

SmartParks for short term power flow control in smart grids

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2012 IEEE International Electric Vehicle Conference, IEVC 2012

作者： Venayagamoorthy, Ganesh Kumar Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University SC 29634 United States

ISBN: (纸本)9781467315623

Among other functions, the smart grid is a vehicle to maximize the penetration of wind power by exploiting the use of energy storage devices in order to maximize the utilization of renewable energy and bring about maximum reduction in emissions. Large number of electric vehicles in a parking lot enabled to carry out vehicle-to-grid (V2G) transactions has been termed as a 'SmartPark' by the author. The use of vehicle-to-grid technology, information technology and advanced computational methods can provide short term real and reactive power support to overcome the drawback of the intermittent nature of renewable sources of electricity. This paper presents the intelligent control of SmartParks to enhance a smart grid's capability to compensate and mitigate active and reactive power fluctuations caused by the variability in wind power penetration in selected transmission lines and network buses. © 2012 IEEE.

关键词： Wind power

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Potential Function Based Multi-Agent Formation Control in 3D Space

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IFAC Proceedings Volumes 2012年第22期45卷 682-689页

作者： Marko Bunic Stjepan Bogdan University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering LARICS–Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia

This paper presents the extension of the previously proposed method for multi-agent formation control based on potential function. The method derived for 2D space is extended to 3D. It has been shown that the control algorithm keeps all the properties of the original scheme in case of multi-agent formation moving in 3D. An adaptation mechanism that assures avoidance of unwanted stable equilibria, used in 2D, is implemented in the same form for 3D formations. The obtained simulation results demonstrate stable behavior of the system for various sets of parameters - the desired 3D formation is reached in finite time and maintained during trajectory execution.

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Recent advances on the energy management of a Hybrid Electric vehicle

Recent advances on the energy management of a Hybrid Electri...

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2012 20th Mediterranean Conference on Control and Automation, MED 2012

作者： Efstathiou, D.S. Petrou, A.K. Spanoudakis, P. Tsourveloudis, N.C. Valavanis, K.P. Intelligent Systems and Robotics Lab Technical University of Crete Chania Greece Machine Tools Laboratory Technical University of Crete Chania Greece Department of Electrical and Computer Engineering University of Denver Denver CO 80208 United States

ISBN: (纸本)9781467325318

This paper presents new innovative subsystems of the ER11 prototype urban vehicle which is powered by hydrogen fuel cells and ultra-capacitors. The subsystems described here are: 1) the energy management system, which is responsible for the optimization of the fuel efficiency and the increased mileage of the vehicle, 2) the driver's monitoring and control panel and 3) the power transmission system, which offers the possibility of continuous change of gear. The powertrain of the test-bed vehicle consists of an electric motor, a fuel (H2) cell system, an ultra-capacitor bank and a DC/DC converter. Testing verified that the proposed energy management system is benefitted by the variable transmission of power leading to less fuel consumption. © 2012 IEEE.

关键词： Hybrid vehicles

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Stochastic search strategies in 2D using agents with limited perception

Stochastic search strategies in 2D using agents with limited...

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10th IFAC Symposium on Robot Control, SYROCO 2012

作者： Puljiz, David Varga, Maja Bogdan, Stjepan Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Laboratory of Intelligent Systems Ecole Polytechnique Federale de Lausanne 1015 Lausanne Switzerland

ISBN: (纸本)9783902823113

Animals use stochastic search strategies to find a potential nest or to localize the food source. Animals do not rely much on the environmental cues or their sensory inputs. Since their cognitive capabilities are rather limited, search strategies are usually simplistic and stochastic. And yet such simple search strategies result in high efficiency in finding potential targets in limited time intervals. Similar problems with perception of the environment and limited computational power and sensory inputs are observed on the mobile robots used in search scenarios. In spite of their limitations, such robotic systems usually perform deterministic search strategies which heavily depend on environmental cues and sensory input. The research question we are addressing in this paper is which stochastic search strategy has the best performance in terms of area coverage and can stochastic search strategies outperform deterministic search strategies. © 2012 IFAC.

关键词： Sensory perception

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Stochastic search strategies in 2D using agents with limited perception

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IFAC Proceedings Volumes 2012年第22期45卷 650-654页

作者： David Puljiz Maja Varga Stjepan Bogdan University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering LARICS–Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia Laboratory of Intelligent Systems Ecole Polytechnique Federale de Lausanne 1015 Lausanne Switzerland

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Investigation on different learning techniques for weighted kernel regression in solving small sample problem

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ICIC Express Letters 2012年第3期6卷 705-710页

作者： Shapiai, Mohd Ibrahim Ibrahim, Zuwairie Sudin, Shahdan Mohamad, Mohd Saberi Khalid, Marzuki Centre of Artificial Intelligent and Robotics Faculty of Electrical Engineering Malaysia Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Skudai 81310 Malaysia

Previously, weighted kernel regression (WKR) for solving small sample problems has been reported. The proposed WKR has been successfully employed to solve rational functions with very few samples. The design and development of WKR is important in order to extend the capability of the technique with various learning techniques. Based on WKR, a simple iteration technique is employed to estimate the weight parameters before WKR can be used in predicting the unseen test samples. In this paper, we investigate two learning techniques in estimating the weight parameters. For this purpose, a Ridge Regression (RR) and a guided search based on Particle Swarm Optimization (PSO) are used to investigate the capability of WKR in solving small sample problems. It is found that RR and PSO are better than iteration technique in terms of computational time and exibility of defining the objective function to estimate weight parameters, respectively, without sacrificing the quality of prediction, as supported by the conducted experiments. © 2012 ICIC International.

关键词： Rational functions

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Tracker design using composite nonlinear feedback with application to a DC servomotor

Tracker design using composite nonlinear feedback with appli...

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Power Electronic and Drive systems and Technologies Conference (PEDSTC)

作者： Saleh Mobayen Vahid Johari Majd Intelligent Control Systems Laboratory School of Electrical and Computer Engineering Tarbiat Moalem University Tehran Iran

In this paper, the theory of a nonlinear control technique, i.e., the composite nonlinear feedback control is considered for robust tracking of a class of linear systems with time varying uncertain parameters and disturbances. This controller can guarantee that the tracking error decreases asymptotically to zero in the presence of time varying uncertain parameters and disturbances. For performance improvement of dynamical system, this proposed robust tracking controller consists of linear and nonlinear feedback parts without any switching element. The linear feedback law is designed to yield a closed loop system with a small damping ratio for the existence of a quick response. On the other hand, the nonlinear feedback law is designed to increase the damping ratio as the system output approaches the output of the reference model. Finally, the simulations of applying the control law on a DC servomotor positioning system are given to illustrate the validity of the results developed in this paper.

关键词： Servomotors

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