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International Conference on Digital Signal Processing (DSP)

作者： Mohamed El Fares Djellatou François Nougarou Daniel Massicotte Electrical and Computer Engineering Department Laboratory of signals and systems integration Université du Québec à Trois-Rivières QUE Canada

In this paper, we proposed a Dual-adapted Fast Block Least Mean Squares algorithm (DA-FBLMS) to remove electrocardiogram (ECG) and noise contaminations from surface electromyography signals (sEMG). Based on an adaptive noise cancelation (ANC) structure and artificial input signals, the ANC integrated proposed algorithm distinguishes itself by the use of an iterative method characterized by a varying number of updates for every different input block, combined with an adaptive step size guided by a QRS detector and the average error of the corresponding input block. The simulations demonstrate that the proposed DA-FBLMS algorithm presents better performances during the contaminations cancellation compared to a recursive least squares algorithm (RLS) and classic FBLMS algorithm, especially in noisy and high distortion environments.

关键词： Electrocardiography Adaptation models

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An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle

An analysis of regression models for predicting the speed of...

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2013 Australasian Conference on Robotics and Automation, ACRA 2013

作者： Ngo, Phillip Al-Sabban, Wesam Thomas, Jesse Anderson, Will Das, Jnashewar Smith, Ryan N. Electrical Engineering and Computer Science Queensland University of Technology BrisbaneQLD Australia Liquid Robotics Inc. Sunnyvale SunnyvaleCA United States Robotics Embedded Systems Laboratory University of Southern California Los AngelesCA United States Physics and Engineering Department Fort Lewis College DurangoCO United States

ISBN: (纸本)9780980740448

An important aspect of robotic path planning for is ensuring that the vehicle is in the best location to collect the data necessary for the problem at hand. Given that features of in- terest are dynamic and move with oceanic cur- rents, vehicle speed is an important factor in any planning exercises to ensure vehicles are at the right place at the right time. Here, we examine different Gaussian process models to find a suitable predictive kinematic model that enable the speed of an underactuated, au- tonomous surface vehicle to be accurately pre- dicted given a set of input environmental pa-rameters.

关键词： Motion planning

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A Scalable RC Architecture for Mean-Shift Clustering

A Scalable RC Architecture for Mean-Shift Clustering

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IEEE International Conference on Application-specific systems, Architectures and Processors

作者： Stefan Craciun Gongyu Wang Alan D. George Herman Lam Jose C. Principe NSF Center for High-Performance Reconfigurable Computing (CHREC) Computational Neuro-Engineering Laboratory (CNEL) Department of Electrical and Computer Engineering University of Florida Gainesville Florida 32611-6200

ISBN: (纸本)9781479904945

The mean-shift algorithm provides a unique non-parametric and unsupervised clustering solution to image segmentation and has a proven record of very good performance for a wide variety of input images. It is essential to image processing because it provides the initial and vital steps to numerous object recognition and tracking applications. However, image segmentation using mean-shift clustering is widely recognized as one of the most compute-intensive tasks in image processing, and suffers from poor scalability with respect to the image size (N pixels) and number of iterations (k): O(kN~2). Our novel approach focuses on creating a scalable hardware architecture fine-tuned to the computational requirements of the mean-shift clustering algorithm. By efficiently parallelizing and mapping the algorithm to reconfigurable hardware, we can effectively cluster hundreds of pixels independently. Each pixel can benefit from its own dedicated pipeline and can move independently of all other pixels towards its respective cluster. By using our mean-shift FPGA architecture, we achieve a speedup of three orders of magnitude with respect to our software baseline.

关键词： mean-shift image segmentation hardware acceleration FPGA reconfigurable computing image segmentation Field programmable gate arrays Scalability pixel Image processing reconfigurable hardware hardware architecture Building construction ARCHITECTURE

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Capacity improvement through buffer-aided successive opportunistic relaying

Capacity improvement through buffer-aided successive opportu...

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International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic systems Technology (Wireless VITAE)

作者： N. Nomikos D. Vouyioukas T. Charalambous I. Krikidis D. N. Skoutas M. Johansson Department of Information and Communication Systems Engineering University of the Aegean Greece Automatic Control Laboratory Electrical Engineering Department and ACCESS LinnaeusCenter Royal Institute of Technology Stockholm Sweden Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus

In this work, we propose a buffer-aided successive opportunistic relaying scheme that aims to improve the average capacity of the network when inter-relay interference arises between relays that are selected for transmission and reception. In order to exploit the benefits of buffering at the relays, we propose a relay-pair selection policy that decouples the receiving relay at the previous time slot from being the transmitting relay at the next slot. Furthermore, we impose an interference cancellation threshold allowing the relay that is selected for reception, to decode and subtract the inter-relay interference. The proposed relaying scheme selects the relaying pair that maximizes the average capacity of the relay network. The performance of the proposed scheme is evaluated via simulation and comparisons with other state-of-the-art half and full-duplex relay selection schemes, in terms of outage probability, average capacity and average delay. The results reveal the need for a tradeoff between improving the outage on the cost of reduced capacity and increased delay, and vice versa. Finally, conclusions are drawn and future directions are discussed, including the need for a hybrid scheme incorporating both half and full-duplex characteristics.

关键词： Relays Artificial neural networks Signal to noise ratio

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A new algorithm for linearization up to multi-output and multi-input injection for a class of systems with implicitly defined outputs

A new algorithm for linearization up to multi-output and mul...

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European Control Conference (ECC)

作者： Sérgio S. Rodrigues A. Pedro Aguiar Öaw Institute for Computational and Applied Mathematics (RICAM) Linz Austria Department of Electrical and Computer Engineering Laboratory of Robotics and Systems in Engineering and Science (LARSyS) Lisbon Portugal

ISBN: (纸本)9781479901890

Given a class of nonlinear systems with implicitly defined outputs, we provide a new algorithm to find appropriate local coordinates, in which the resulting system takes a desired target form that is state-affine, up to output and input injection. Once in the target form, it is possible to construct a state-space observer with linear, possibly time-varying, error dynamics.

关键词： Vectors Equations Observers Gold Geometry Nonlinear dynamical systems

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Rapid Prototyping of Digital Controllers using FPGAs and ESL/HLS Design Methodologies

Rapid Prototyping of Digital Controllers using FPGAs and ESL...

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International Conference on Automation and computing

作者： Christoforos Economakos Harry Sidiropoulos George Economakos Technological Educational Institution of Sterea Ellada Department of Automation Engineering National Technical University of Athens School of Electrical and Computer Engineering Microprocessors and Digital Systems Laboratory

ISBN: (纸本)9781479912360

Recent advances in embedded automation applications require quality of results in terms of speed and computational complexity, along with strict time-to-market schedules. To cope with these demands, the design industry is searching for novel approaches. Performance is sought by utilizing modern FPGA devices, offering hundreds of GFLOPs with maximum power efficiency. Productivity is enforced with High-Level Synthesis (HLS) and Electronic System Level (ESL) design methodologies, that offer an efficient abstraction level to boost-up early prototyping. This paper presents a methodology and the required tool flow for the design of a System-on-Chip (SoC) architecture, as a reference for modern control applications. The advantages of the proposed methodology are: (a) improved performance through hardware acceleration of demanding application cores, (b) improved quality of results with floating point calculations, (c) flexibility and integration of common peripheral devices supported by a RISC microcontroller and (d) improved designer productivity by avoiding Hardware Description Languages (HDLs) and other time consuming and error introducing procedures and working with C level design descriptions only. Experimental results show that the proposed SoC architecture is an efficient rapid prototyping platform for digital control applications, with very promising future extension capabilities.

关键词： Digital control Rapid prototyping FPGAs Electronic system-level design High-level synthesis

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Reliability Assessment at Day-ahead Operating Stage in Power systems with Wind Generation

Reliability Assessment at Day-ahead Operating Stage in Power...

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Hawaii International Conference on System Sciences

作者： Le Xie Lin Cheng Yingzhong Gu Department of Electrical and Computer Engineering Texas A&M University College Station TX. State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing 100084 China.

ISBN: (纸本)9781467359337

This paper proposes to evaluate reliability performances at operating stage for power systems with variable wind generation. This is a first step towards recognizing the stronger coupling of power system decision making across different time-scales. In the day-ahead energy-reserve co-optimization unit commitment model, the validity of using operating reserve as an approximation of long-term reliability requirement is tested with realistic wind generation profile. Reliability indices such as Loss of Load Probability (LOLP) and Loss of Expected Energy (LOEE) are computed at each hour of the day at the conclusion of the day-ahead unit commitment decision. Numerical experiments conducted in the IEEE Reliability Test System suggest that while operating reserve requirement does not change within a day, the actual reliability performance of the system varies significantly depending on (i) system loading conditions, (ii) wind power variation, and (iii) operating rules. Also, the operating reserve requirement is shown to either over-approximate or under-approximate the reliability requirement of power system. It indicates that operating reserve could be a very coarse deterministic approximation of system reliability requirement especially with high wind penetration. A much more integrated approach for modeling, analysis, and decision making is envisaged for provision of reliable and cost-effective electricity services.

关键词： LOLP LOEE Generation Wind energy generation operating reserve power systems reliability evaluation reliability test system Electricity services wind penetration Load shortfall probability Unit commitment

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Determination of trajectories using non-invasive bci techniques in 3d environments

Determination of trajectories using non-invasive bci techniq...

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16th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2013

作者： García-Egea, Teodoro Díaz-Hernández, Carlos Alberto López-Coronado, Juan Contreras-Vidal, José L. Department of Automation and Systems Engineering Campus Muralla del Mar Polytechnical University of Cartagena Cartagena Spain Department of Polytechnic Sciences Polytechnic Faculty UCAM Catholic University San-Anthony of Murcia Spain Fischell Department of Bioengineering University of Maryland College Park MD United States Department of Kinesiology University of Maryland College Park MD United States Department of Electrical and Computer Engineering Laboratory for Non-invasive Brain-Machine Interface Systems University of Houston Houston TX 77204 United States

ISBN: (纸本)9789814525527

The feasibility of continuous decoding of self-initiated, self-selected hand movements to three-dimensional (3D) spatial targets from scalp electroencephalography (EEG) using linear decoders has been recently demonstrated. In this paper, we show that it is possible to train linear classifiers to decode hand movement direction to eight 3D spatial targets, in both planning and movement windows, using only the fluctuations in the amplitude of smoothed low-frequency signals from high-density scalp EEG. Taken together these results support the design of brain-computer interfaces (BCI) based on non-invasive scalp EEG signals and suggest that the current perception of the limits of EEG as a source signal for BCI applications merits further examination. Copyright © 2013 by World Scientific Publishing Co. Pte. Ltd.

关键词： Electroencephalography

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Grand challenges in modeling and simulation: Expanding our horizons 13

Grand challenges in modeling and simulation: Expanding our h...

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2013 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2013

作者： Taylor, Simon J.E. Balci, Osman Cai, Wentong Loper, Margaret L. Nicol, David M. Riley, George ICT Innovation Group Department of Information Systems and Computing Brunel University Uxbridge United Kingdom Department of Computer Science Virginia Tech. Blacksburg VA United States School of Computer Engineering Nanyang Technological University Singapore Singapore Information and Communications Lab. Georgia Tech. Research Institute Atlanta GA United States Information Trust Institute University of Illinois at Urbana-Champaign Urbana-Champaign IL United States School of Electrical and Computer Engineering Georgia Tech. Atlanta GA United States

ISBN: (纸本)9781450319201

There continues to be many advances in the theory and practice of Modeling and Simulation (M&S). However, some of these can be considered as Grand Challenges;issues whose solutions require significant focused effort across a community, sometimes with ground-breaking collaborations with new disciplines. In 2002, the first M&S Grand Challenges Workshop was held in Dagstuhl, Germany, in an attempt to focus efforts on key areas. In 2012, a new initiative was launched to continue these Grand Challenge efforts. Panel members of this third Grand Challenge present their views on M&S Grand Challenges. Themes presented in this panel include M&S Methodology;Agent-based M M&S in systems engineering;Cyber systems Modeling;and Network Simulation. © 2013 ACM.

关键词： Life cycle

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Corrigendum to “A novel approach to collaborative testing in a crowdsourcing environment” in the Journal of systems and Software 86 (2013) 2143–2153

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Journal of systems and Software 2014年 87卷 137-137页

作者： Yuan-Hsin Tung Shian-Shyong Tseng Wei-Tek Tsai Department of Computer Science and Information Engineering National Chiao Tung University Taiwan ROC Telecommunication Laboratory Chunghwa Telecom Co. Ltd. Taiwan ROC Department of Applied Informatics and Multimedia Asia University Taiwan ROC School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA

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