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International Joint Conference on Neural Networks

作者： Karthikeyan Balasubramaniam Ganesh Kumar Venayagamoorthy Neville Watson Real-Time Power and Intelligent Systems Laboratory Holcombe Dept. of Elect. and Computer Engg. Clemson University Clemson SC 29634 USA Department of Electrical Engineering University of Canterbury Christchurch New Zealand.

ISBN: (纸本)9781467361279

Situational awareness (SA) in simple terms is to understand the current state of the system and based on that understanding predict how system states are to evolve over time. Predictive modeling of power systems using conventional methods is time consuming and hence not well suited for real-time operation. In this study, neural network (NN) based non-linear predictor is used to predict states of power system for future time instance. Required control signals are computed based on predicted state variables and control set points. In order to reduce computation the problem is decoupled and solved in a cellular array of NNs. The cellular neural network (CNN) framework allows for accurate prediction with only minimal information exchange between neighboring predictors. The predicted states are then used in computing stability metrics that give proximity to point of instability. The situational awareness platform developed using CNN framework extracts information from data for the next time instance i.e. a step ahead of time and maps this data with geographical coordinates of power system components. The geographic information system (GIS) provides a visual indication of operating status of individual components as well as that of the entire system.

关键词： Power Grids SA NN Power grids Cellular neural networks situational awareness Awareness power systems State variable cellular arrays REAL TIME OPERATION geographical coordinates CONTROL SIGNAL

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Key-frame extraction for video captured by smart phones

Key-frame extraction for video captured by smart phones

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IEEE International Conference on robotics and Biomimetics

作者： Shuangshuang Ji Huaping Liu Bin Wang Fuchun Sun School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Beijing P.R.China Beijing Baidu Netcom Science Technology Co. Ltd

ISBN: (纸本)9781479927456

In this paper, the key-frame extraction for video clips which are captured by smart phones are investigated. A weighted temporal consistent fuzzy clustering technology is used to cluster the video frames. The image-level feature and the orientation information are combined into the feature vector and the accelerate values are used to determine the weight. Such a method sufficiently exploits the spatio-temporal characterizes of the video clips captured by smart phones. The algorithm is implemented in a Sumsung Nexus S smart phone and we make an extensive experimental validation.

关键词： Smart phones Accelerometers Feature extraction intelligent sensors Acceleration Vectors

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An Investigation on the Accuracy of Regional Ocean Models Through Field Trials

An Investigation on the Accuracy of Regional Ocean Models Th...

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IEEE International Conference on robotics and Automation

作者： Ryan N. Smith Kimia Nazarzadeh Jonathan Kelly Gaurav S. Sukhatme School of Electrical Engineering and Computer Science Queensland University of Technology Brisbane QLD 4001 Australia. Robust Robotics Group Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA 02142 USA. Robotic Embedded Systems Laboratory Department of Computer Science University of Southern California Los Angeles CA 90089 USA.

ISBN: (纸本)9781467356404

Recent efforts in mission planning for underwater vehicles have utilised predictive models to aid in navigation, optimal path planning and drive opportunistic sampling. Although these models provide information at a unprecedented resolutions and have proven to increase accuracy and effectiveness in multiple campaigns, most are deterministic in nature. Thus, predictions cannot be incorporated into probabilistic planning frameworks, nor do they provide any metric on the variance or confidence of the output variables. In this paper, we provide an initial investigation into determining the confidence of ocean model predictions based on the results of multiple field deployments of two autonomous underwater vehicles. For multiple missions of two autonomous gliders conducted over a two-month period in 2011, we compare actual vehicle executions to simulations of the same missions through the Regional Ocean Modeling System in an ocean region off the coast of southern California. This comparison provides a qualitative analysis of the current velocity predictions for areas within the selected deployment region. Ultimately, we present a spatial heat-map of the correlation between the ocean model predictions and the actual mission executions. Knowing where the model provides unreliable predictions can be incorporated into planners to increase the utility and application of the deterministic estimations.

关键词： Regional Ocean Models Through Field Trials mission planning underwater vehicles

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Real-Time Simulation for Active and Reactive Power Control of Doubly Fed Induction Generator

Real-Time Simulation for Active and Reactive Power Control o...

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North American Power Symposium

作者： Rabindra Maharjan Sukumar Kamalasadan Power Energy and Intelligent Systems Laboratory (PEISL) Department of Electrical and Computer Engineering University of North Carolina at Charlotte

ISBN: (纸本)9781479912537

In this paper real-time modeling and simulation of complete closed loop control of doubly fed induction generator (DFIG) for wind generation system is presented. Decoupled active power and reactive power control of DFIG is realized using the flux oriented vector control. Inner and outer loop controller at rotor side and the grid side converter is presented for the closed loop control of the DFIG using real-time digital simulator. The simulation is carried on OPAL-RT digital simulator which is based on RT-LAB platform with the models build in Simulink. Further full closed loop models are evaluated in an experimental test bed for the step response of active and reactive power (P and Q) change. The real-time modeling and evaluation shows the capability of fully closed loop control and has greater impact on real-world applications.

关键词： Doubly Fed Induction Generator (DFIG) Vector control Real time simulation

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Day Ahead Scheduling of Distribution System With Distributed Energy Resources Considering Demand Response and Energy Storage

Day Ahead Scheduling of Distribution System With Distributed...

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North American Power Symposium

作者： Mojtaba Khanabadi Sukumar Kamalasadan Power Energy and Intelligent Systems Laboratory (PEISL) Department of Electrical and Computer Engineering University of North Carolina at Charlotte

ISBN: (纸本)9781479912537

This paper propose a method for day-ahead optimization of distribution system with Distributed Energy Resources (DER's) and energy storage devices that allows a) increase market efficiency and b) damping the variations of DER's. The objective is to utilize energy storage to damp the variations in the grid considering market price and to increase the grid efficiency. First, the implementation of day-ahead optimization that will determine which generation unit including DER's should be utilized using next 24 hour load taking into consideration of renewable energy generation forecasting is discussed. Next, the utilization of energy storage to damp the energy variations in the grid is evaluated. The problem is formulated as Nonlinear Programming (NLP) with the objective of maximizing the social welfare of the grid. The results show that the proposed method can successfully fulfill the overall objectives.

关键词： energy storage distributed energy resources dispensing system Demand-Responsive Grid computing Energy sources absorption of shock Social Welfare Energy storage devices dinitrophenyl-aminopropyl-methylamine

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A new hand exoskeleton device for rehabilitation using a three-layered sliding spring mechanism

A new hand exoskeleton device for rehabilitation using a thr...

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IEEE International Conference on robotics and Automation

作者： Jumpei Arata Keiichi Ohmoto Roger Gassert Olivier Lambercy Hideo Fujimoto Ikuo Wada Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya 466-8555 Japan. Rehabilitation Engineering Laboratory Institute of Robotics and Intelligent Systems ETH Zurich 8092 Zurich Switzerland. Department of Rehabilitation Nagoya City University Hospital 1-Kawasumi MIzuho-cho Mizuho-ku Nagoya 467-8602 Japan.

ISBN: (纸本)9781467356404

In this paper, a new hand exoskeleton device using a three-layered sliding spring mechanism is presented. In contrast to state of the art hand exoskeleton mechanisms (typically link, wire or pneumatically driven), the proposed mechanism is driven through large deformations of the compliant mechanism body. The mechanism can be made compact and lightweight by adequately positioning the compliant elements. In addition, the mechanism is designed to distribute 1-DOF actuated linear motion into three rotational motions of the finger joints, which translate into natural finger flexion/extension. The primary applicatoin of the proposed mechanism is to provide robotic support during physical therapy at the hospital (e.g. Continuous Passive Motion). However, thanks to its light and wearable structure, the proposed device could also be used at home as an assistive/therapeutic device to support activities of daily living. We introduce the mechanical structure of the three-layered sliding spring mechanism, present a prototype implementation as a hand exoskeleton device, and provide a preliminary evaluation.

关键词： three-layered sliding spring mechanism art hand exoskeleton mechanisms compliant mechanism body

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REAL-TIME SUPER-RESOLUTION FOR DIGITAL ZOOMING USING FINITE KERNEL-BASED EDGE ORIENTATION ESTIMATION AND TRUNCATED IMAGE RESTORATION

REAL-TIME SUPER-RESOLUTION FOR DIGITAL ZOOMING USING FINITE ...

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IEEE International Conference on Image Processing

作者： Wonseok Kang Jaehwan Jeon Eunsung Lee Changhun Cho 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

This paper presents a novel real-time super-resolution (SR) method using directionally adaptive image interpolation and image restoration. The proposed interpolation method estimates the edge orientation using steerable filters and performs edge refinement along the estimated edge orientation. Bi-linear and bi-cubic interpolation filters are then selectively used according to the estimated edge orientation for reducing jagging artifacts in slanting edge regions. The proposed restoration method can effectively remove image degradation caused by interpolation using the directionally adaptive truncated constrained least-squares (TCLS) filter. The proposed method provides high-quality magnified images which are similar to or better than the result of advanced interpolation or SR methods without high computational load. Experimental results indicate that the proposed system gives higher peak-to-peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) values than the state-of-the-art image interpolation methods.

关键词： Super-resolution image interpolation image restoration digital zooming

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FREQUENCY-DOMAIN ANALYSIS OF DISCRETE WAVELET TRANSFORM COEFFICIENTS AND THEIR ADAPTIVE SHRINKAGE FOR ANTI-ALIASING

FREQUENCY-DOMAIN ANALYSIS OF DISCRETE WAVELET TRANSFORM COEF...

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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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Robot ontologies for sensor- and Image-guided surgery

Robot ontologies for sensor- and Image-guided surgery

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International Workshop on Robot Sensing (ROSE)

作者： Tamás Haidegger Marcos Barreto Paulo J. S. Goncalves Maki K. Habib S. Veera Ragavan Howard Li Alberto Vaccarella Roberta Perrone Edson Prestes Austrian Center for Medical Innov. and Techn. (ACMIT) Wiener Neustadt Austria UFBA Distributed Systems Laboratory (LaSiD) Brazil IDMEC Center of Intelligent Systems Portugal The American University in Cairo Cairo Egypt Monash University Selangor Malaysia Dept. of Electrical and Computer Engineering University of New Brunswick Canada Dept. of Electronics Information and Bioengineering (DEIB) NearLab Medical Robotics Milan Italy UFRGS Instituto de Informática Brazil

Robots and robotics are becoming more complex and flexible, due to technological advancement, improved sensing capabilities and machine intelligence. Service robots target a wide range of applications, relying on advanced Human-Robot Interaction. Medical robotics is becoming a leading application area within, and the number of surgical, rehabilitation and hospital assistance robots is rising rapidly. However, the complexity of the medical environment has been a major barrier, preventing a wider use of robotic technology, thus mostly teleoperated, human-in-the-loop control solutions emerged so far. Providing smarter and better medical robots requires a systematic approach in describing and translating human processes for the robots. It is believed that ontologies can bridge human cognitive understanding and robotic reasoning (machine intelligence). Besides, ontologies serve as a tool and method to assess the added value robotic technology brings into the medical environment. The purpose of this paper is to identify relevant ontology research in medical robotic, and to review the state-of-the-art. It focuses on the surgical domain, fundamental terminology and interactions are described for two example applications in neurosurgery and orthopaedics.

关键词： Robot sensing systems Surgery Lead Ontologies Biomedical optical imaging

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