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European Signal Processing Conference

作者： Wallace A. Martins Paulo S. R. Diniz Federal Center for Technological Education Dept. of Control and Automation Industrial Eng. Federal University of Rio de Janeiro Depart. of Electronics and Computer Eng. Electrical Engineering Program

ISBN: (纸本)9781467310680

In recent years many works related to the design of block-based transceivers have been published. The main target of this research activity is to optimize the use of the spectral resources in broadband transmissions. A possible way to address this problem is to reduce the amount of redundancy required by block transmissions to avoid interblock interference. An efficient solution is to employ zero-padding zero-jamming (ZP-ZJ) transceivers, which allow the transmission with reduced redundancy. ZP-ZJ systems have been successfully employed in the context of linear transceivers. This paper shows how the ZP-ZJ concept can be applied in decisionfeedback equalization. Some performance analyses based on the resulting mean-square error and error probability of symbols are included to show the possible degrading effects of the reduction in the amount of redundancy. Nevertheless, simulation results illustrate that data throughput and average mutual information between transmitted and estimated symbols can be enhanced significantly without affecting the system performance, for a certain level of signal-tonoise ratio at the receiver.

关键词： Block DFE Reduced redundancy Throughput redundancy Transceivers Research Activities System performance Signs and symbols feedback equalizer data throughput Error probability Transmissions broadband

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A Deployable Quadrifilar Helix Antenna for CubeSat

A Deployable Quadrifilar Helix Antenna for CubeSat

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IEEE International Symposium on Antennas and Propagation

作者： J. Costantine D. Tran M. Shiva Y. Tawk C. G. Christodoulou S. E. Barbin Electrical Engineering Dept. California State University Fullerton Fullerton CA92834 USA Electrical and Computer Eng. Dept. University of New Mexico Albuquerque NM 87131 USA Telecom. and Control Eng. Dept. Polytechnic University of Sao Paulo Sao Paulo SP 05508-900 Brazil

ISBN: (纸本)9781467304610

In this paper we present a new quadrifilar helix antenna designed for CubeSat applications. The quadrifilar helix antenna presented in this paper covers the UHF bandwidth between 250 MHz and 500 MHz. The antenna is fed with four ports and exhibits circular polarization as well as an acceptable gain over the desired frequency range.

关键词： Helical antennas frequency ranges CIRCULAR POLARIZATION Ultrahigh frequencies paper harbors ANTENNA antennae Bandwidth Exhibitions

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Fault-tolerant Audio and Video Bridging (AVB) Ethernet: A novel method for redundant stream registration configuration

Fault-tolerant Audio and Video Bridging (AVB) Ethernet: A no...

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Institute of Electrical and Electronics Engineers International Conference on Emerging Technologies & Factory Automation

作者： Oliver Kleineberg Peter Frohlich Donal Heffernan Hirschmann Automation & Control GmbH Electronic and Computer Engineering Dept. University of Limerick

ISBN: (纸本)9781467347358

The Audio and Video Bridging (AVB) technology equips Ethernet with Real-Time characteristics, based on standards developed by IEEE 802.1. In 2011, the IEEE 802,1 AVB Task group completed the first generation of AVB Standards, and is currently starting standardization work on AVB Generation 2, aimed at Industrial Automation & control networks, as well as Automotive networks. One aspect of this standardization effort is to adapt AVB stream reservation mechanisms to operate with industrial-standard fault tolerance technologies. This paper proposes a method to allow AVB to be used flexibly with different use-cases and different stream configuration mechanisms to achieve fault-tolerance. The method has been verified through simulation and has been proposed to the AVB task group for inclusion into the 2nd Generation AVB standards.

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A gray gradient based fast training algorithm for face detection

A gray gradient based fast training algorithm for face detec...

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International Conference on Multimedia and Signal Processing

作者： Chen, Weimin Wang, Wei Xu, Dongxia Dept. of Automatic Control and Mechanical Engineering Kunming University Kunming China

ISBN: (纸本)9780769543567

This paper describes a fast and simple training method for face detection based on block gradient of the gray level. The gradient orientation is one of the most essential features to describe the image structure. In this paper, the detector is trained just by the positive samples from which the feature values accumulated are regarded as the values' weight to detect. The training set is of 50 faces simples. Each image is divided into three resolutions of 4×4, 8×8 and 16×16 to train the detector for different scales. While the detected value in low resolution is higher than the likelihood threshold, high resolution detector is used for a further detecting. Although the training framework is very simple, the correct detection rate is 91%.© 2011 IEEE.

关键词： Face recognition

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Pyramid-based multi-scale lbp features for face recognition

Pyramid-based multi-scale lbp features for face recognition

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International Conference on Multimedia and Signal Processing

作者： Wang, Wei Chen, Weimin Xu, Dongxia Dept. of Automatic Control and Mechanical Engineering Kunming University Kunming China

ISBN: (纸本)9780769543567

To efficiently extract local and global features in face description and recognition, a pyramid-based multi-scale LBP approach is proposed. Firstly, the face image pyramid is constructed through multi-scale analysis. Then the LBP operator is applied to each level of the image pyramid to extract facial features under various scales. Finally, all the extracted features are concatenated into an enhanced feature vector which is used as the face descriptor. Experimental results on ORL and FERET face databases show that the proposed LBP representation is highly efficient with good performance in face recognition and is robust to illumination, facial expression and position variation.© 2011 IEEE.

关键词： Face recognition

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On the integration of skilled robot motions for productivity in manufacturing

On the integration of skilled robot motions for productivity...

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IEEE International Symposium on Assembly and Manufacturing

作者： Bjorkelund, Anders Edstrom, Lisett Haage, Mathias Malec, Jacek Nilsson, Klas Nugues, Pierre Robertz, Sven Gestegard Storkle, Denis Blomdell, Anders Johansson, Rolf Linderoth, Magnus Nilsson, Anders Robertsson, Anders Stolt, Andreas Bruyninckx, Herman Dept. of Computer Science Lund University Sweden Dept of Automatic Control Lund University Sweden Dept. of Mechanical Engineering K.U. Leuven Belgium

ISBN: (纸本)9781612843438

Robots used in manufacturing today are tailored to their tasks by system integration based on expert knowledge concerning both production and machine control. For upcoming new generations of even more flexible robot solutions, in applications such as dexterous assembly, the robot setup and programming gets even more challenging. Reuse of solutions in terms of parameters, controls, process tuning, and of software modules in general then gets increasingly important. There has been valuable progress within reuse of automation solutions when machines comply with standards and behave according to nominal models. However, more flexible robots with sensor-based manipulation skills and cognitive functions for human interaction are far too complex to manage, and solutions are rarely reusable since knowledge is either implicit in imperative software or not captured in machine readable form. We propose techniques that build on existing knowledge by converting structured data into an RDF-based knowledge base. By enhancements of industrial control systems and available engineering tools, such knowledge can be gradually extended as part of the interaction during the definition of the robot task. © 2011 IEEE.

关键词： Manufacture

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Towards the Time Varying Estimation of Complex Brain Connectivity Networks by means of a General Linear Kalman Filter Approach

Towards the Time Varying Estimation of Complex Brain Connect...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： J. Toppi F. Babiloni G. Vecchiato F. De Vico Fallani D. Mattia S. Salinari T. Milde L. Leistritz H. Witte L. Astolfi Department of Computer control and management engineering of the Univ. of Rome "Sapienza" and with fRCCS "Fondazione Santa Lucia" Rome Italy Dept. of Physiology and Pharmacology of the University of Rome "Sapienza" and with fRCCS "Fondazione Santa Lucia" Rome Italy Fondazione Santa Lucia Rome Italy Department of Computer control and management engineering Univ. of Rome "Sapienza Rome Italy Bernstein Group Computational Neuroscience

ISBN: (纸本)9781457717871

One of the main limitations of the brain functional connectivity estimation methods based on Autoregressive Modeling, like the Granger Causality family of estimators, is the hypothesis that only stationary signals can be included in the estimation process. This hypothesis precludes the analysis of transients which often contain important information about the neural processes of interest. On the other hand, previous techniques developed for overcoming this limitation are affected by problems linked to the dimension of the multivariate autoregressive model (MV AR), which prevents from analysing complex networks like those at the basis of most cognitive functions in the brain. The General Linear Kalman Filter(GLKF) approach to the estimation of adaptive MV ARs was recently introduced to deal with a high number of time series(up to 60) in a full multivariate analysis. In this work we evaluated the performances of this new method in terms of estimation quality and adaptation speed, by means of a simulation study in which specific factors of interest were systematically varied in the signal generation to investigate their effect on the method performances. The method was then applied to high density EEG data related to an imaginative task. The results confirmed the possibility to use this approach to study complex connectivity networks in a full multivariate and adaptive fashion, thus opening the way to an effective estimation of complex brain connectivity networks.

关键词： Time Varying Estimation Complex Brain Connectivity Networks General Linear Kalman Filter Approach

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A reliability model for web services: From the consumers' perspective

A reliability model for web services: From the consumers' pe...

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2011 International Conference on computer Science and Service System, CSSS 2011

作者： Zhao, Shi Lu, Xiaoming Zhou, Xianzhong Zhang, Tie Xue, Jianqiang Dept. of Control and System Engineering Nanjing University Nanjing China North Automatic Control Technique Institute Taiyuan China

ISBN: (纸本)9781424497638

This paper proposes a model to quantify the reliability of web services. Based on their structures, web services can be classified into the following two kinds: atomic web service which calls no other web services and composite web service consisting of atomic web services. The model first evaluates the reliability of atomic web services from the consumers' perspective. After that this paper points out redundancy is a very effective approach to improve the reliability of composite web services. Then the reliability issue of composite web services is discussed. A method of computing the aggregating reliability of composite web services is introduced using the structure information with the assumption that the reliabilities of atomic web services in the composite web services are available. © 2011 IEEE.

关键词： Redundancy

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Multidimensional performance optimization of switched reluctance machines

Multidimensional performance optimization of switched reluct...

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2011 23rd International Symposium on Information, Communication and Automation Technologies, ICAT 2011

作者： Smaka, S. Mašić, Š. Ćosović, M. Konjicija, S. Dept. of Power Electrical Engineering Faculty of Electrical Engineering Sarajevo Bosnia and Herzegovina Dept. of Automatic Control and Electronics Faculty of Electrical Engineering Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9781457707469

This paper presents a procedure for optimization of the switched reluctance drive, in order to achieve required torque-speed characteristics. SRM configuration and characteristics are given, and experimental verification of the modeled characteristic is presented. Genetic algorithm (GA) was used for optimization of turn-on angle, turn-off angle and voltage, which represent basic control inputs. The achieved results suggest that the machine's geometry should be optimized as well. © 2011 IEEE.

关键词： Genetic algorithms

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Editorial

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The International Journal of Robotics Research 2012年第13期31卷 1529 - 1530页

作者： Sami Haddadin Paolo Robuffo Giordano Angelika Peer Robotics and Mechatronics Center German Aerospace Center (DLR) Münchner Straße 20 81377 Wessling Germany Max Planck Institute for Biological Cybernetics Dept. Bülthoff Spemannstraße 38 72076 Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Theresienstraße 90 80333 München Germany

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