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

作者： Matthew D. Burns Nima Bigdely-Shamlo Nathaniel J. Smith Kenneth Kreutz-Delgado Scott Makeig Dept. of Electrical and Computer Engineering University of California School of Informatics University of Edinburgh Informatics Forum Swartz Center for Computational Neuroscience (SCCN) of the Institute for Neural Computation (INC) University of California

ISBN: (纸本)9781457702150

The traditional method of estimating an Event Related Potential (ERP) is to take the average of signal epochs time locked to a set of similar experimental events. This averaging method is useful as long as the experimental procedure can sufficiently isolate the brain or non-brain process of interest. However, if responses from multiple cognitive processes, time locked to multiple classes of closely spaced events, overlap in time with varying inter-event intervals, averaging will most likely fail to identify the individual response time courses. For this situation, we study estimation of responses to all recorded events in an experiment by a single model using standard linear regression (the rERP technique). Applied to data collected during a Rapid Serial Visual Presentation (RSVP) task, our analysis shows: (1) The rERP technique accounts for more variance in the data than averaging when individual event responses are highly overlapping;(2) the variance accounted for by the estimates is concentrated into a fewer ICA components than raw EEG channel signals.

关键词： Event-related potentials averaging TRADITIONAL METHODS processing time Reaction Time

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Clutter removal in the automatic detection of concealed weapons with late time responses

Clutter removal in the automatic detection of concealed weap...

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2013 10th European Radar Conference, EuRAD 2013 - Held as Part of 16th European Microwave Week, EuMW 2013

作者： McCombe, Justin J. Nikolova, Natalia K. Georgiev, Mihail S. Thayaparan, Thayananthan Department of Electrical and Computer Engineering McMaster University Hamilton ON Canada Department of Informatics Technical University of Munich Germany Radar Applic. and Space Technologies Section - Applications Radar et Technologies Spatiales Defence RandD Canada-Ottawa R and D Pour la Défense Canada Ottawa ON Canada

ISBN: (纸本)9782874870330

It has been shown that the late time response of a weapon contains important information about its resonant signature, which is dependent on the weapon's size, shape and constitutive parameters. We extract the resonances of a radar return using the Total Least Squares Matrix Pencil Method. Background clutter is suppressed by de-embedding its eigenvalues from the radar return. An Artificial Neural Network Classifier is used to determine if a target is a threat or not. Finally, we demonstrate the algorithm performance using measured data taken in a cluttered environment. The experiments show that, with proper clutter removal, monostatic radar measurements from 0.5 GHz to 5 GHz within 1.5 meters of the inspected person provide a feasible tool for concealed weapon detection. © 2013 EMA.

关键词： Echo suppression

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Wireless SPIHT-encoded image transmission employing hierarchical modulation: A DSP implementation

Wireless SPIHT-encoded image transmission employing hierarch...

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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Martin Zamkotsian Kostas P. Peppas George Fovakis Fotis Lazarakis Antonis Alexandridis Kostas Dangakis Panayotis G. Cottis Department of Electrical and Computer Engineering National Technical University of Athens Athens GR Greece Laboratory of Wireless Communications Institute of Informatics and Telecommunications Athens Greece

In this paper, the performance of wireless transmission of SPIHT-encoded images employing Hierarchical Quadrature Amplitude Modulation (HQAM) is investigated with an experimental test-bed. Two Texas Instruments (TI) Digital Starter Kits (DSK), each one equipped with the floating point DSP chip TMS320C6713, are employed for the system testing, one for the transmitter and one for the receiver. The digital signal processing that formats the information data in preparation for transmission as well as the digital signal processing that recovers the information data at the receiver site are described in detail. Various results measuring bit error rates and peak signal-to-noise ratios are presented to demonstrate the performance of the experimental setup under various channel conditions, for different values of the modulation parameters.

关键词： Discrete wavelet transforms WiMAX Digital signal processing Estimation Software

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STREAMER: A distributed framework for incremental closeness centrality computation

STREAMER: A distributed framework for incremental closeness ...

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IEEE International Conference on Cluster Computing

作者： Ahmet Erdem Sariyüce Erik Saule Kamer Kaya Ümit V. Çatalyürek Ohio State University Columbus OH US Depts. Biomedical Informatics The Ohio State University Electrical and Computer Engineering The Ohio State University

Networks are commonly used to model the traffic patterns, social interactions, or web pages. The nodes in a network do not possess the same characteristics: some nodes are naturally more connected and some nodes can be more important. Closeness centrality (CC) is a global metric that quantifies how important is a given node in the network. When the network is dynamic and keeps changing, the relative importance of the nodes also changes. The best known algorithm to compute the CC scores makes it impractical to recompute them from scratch after each modification. In this paper, we propose Streamer, a distributed memory framework for incrementally maintaining the closeness centrality scores of a network upon changes. It leverages pipelined and replicated parallelism and takes NUMA effects into account. It speeds up the maintenance of the CC of a real graph with 916K vertices and 4.3M edges by a factor of 497 using a 64 nodes cluster.

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How Do Developers Use APIs? A Case Study in Concurrency

How Do Developers Use APIs? A Case Study in Concurrency

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IEEE International Conference on engineering of Complex computer Systems

作者： Stefan Blom Joseph Kiniry Marieke Huisman Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands Department of Informatics and Mathematical Modeling Technical University of Denmark Copenhagen Denmark

With the omnipresent usage of APIs in software development, it has become important to analyse how the routines and functionalities of APIs are actually used. This information is in particular useful for API developers, to make decisions about future updates of the API. However, also for developers of static analysis and verification tools this information is highly important, because it indicates where and how to put the most efficient effort in annotating APIs, to make them usable for the static analysis and verification tools. This paper presents an analysis of the usage of the routines and functionalities of the Java concurrency library java. util. concurrent. It discusses the Histogram tool that we developed for this purpose, i.e., to efficiently analyse a large collection of bytecode classes. The Histogram tool is used on a representative benchmark set, the Qualitas Corpus. The paper discusses the results of the analysis of this benchmark set in detail. This covers both an analysis of the important classes and methods used by the current releases of the benchmark collection, as well as an analysis of the time it took for the Java concurrency library to start being used in released software.

关键词： Java Concurrent computing Libraries Benchmark testing Histograms Software Standards

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Simulated annealing-based optimization of fuzzy models for magnetic levitation systems

Simulated annealing-based optimization of fuzzy models for m...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Claudia-Adina Dragos Radu-Emil Precup Radu-Codrut David Stefan Preitl Alexandra-Iulia Stinean Emil M. Petriu Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Electrical Engineering and Computer Science University of Ottawa Ottawa ONT Canada

ISBN: (纸本)9781479903467

This paper proposes an approach to the Simulated Annealing (SA)-based optimization of fuzzy models for magnetic levitation systems. The unstable and nonlinear processes are first linearized at nine operating points, and next stabilized by a state feedback control system (SFCS) structure. The Takagi-Sugeno (T-S) fuzzy models are obtained by the modal equivalence principle in terms of placing the local SFCS state-space models in the rule consequents. The optimization problems are defined aiming the minimization of objective functions expressed as the squared modeling errors, and the variables of these functions are a part of the parameters of the input membership functions. SA algorithms are involved in solving the optimization problems which give optimal T-S fuzzy models. A set of real-time experimental results validates the fuzzy modeling approach and the new optimal T-S fuzzy models for magnetic levitation system with two electromagnets laboratory equipment.

关键词： Optimization Linear programming Magnetic levitation Vectors State-space methods Real-time systems Electromagnets

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Compression of Distributed Correlated Temperature Data in Sensor Networks

Compression of Distributed Correlated Temperature Data in Se...

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Data Compression Conference (DCC)

作者： Feng Chen Marcin Rutkowski Christopher Fenner Robert C. Huck Shuang Wang Samuel Cheng School of Electrical and Computer Engineering University of Oklahoma Tulsa Tulsa OK USA Division of Biomedical Informatics University of California San Diego CA USA

ISBN: (纸本)9781467360371

Summary form only given. Distributed Source Coding (DSC) is rapidly gaining popularity, and has many good applications. However, some important correlations are sometimes omitted, such as temporal correlation. In this paper, we consider the correlations of the source data both in spatial and temporal domains for DSC decoding. And this is equally to integrate a Kalman filter in our algorithm. We tested our algorithm on the practical temperature network, and the results turn out it achieved better performance than the algorithm without temporal correlation.

关键词： Educational institutions Decoding Temperature distribution Encoding Correlation Data compression Temperature sensors

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Fast implementation of SAR imaging using sparse ML methods

Fast implementation of SAR imaging using sparse ML methods

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Asilomar Conference on Signals, Systems & computers

作者： G. O. Glentis K. Zhao A. Jakobsson H. Abeida J. Li Dept. of Informatics and Telecommunications University of Peloponnese Greece Dept. of Electrical and Computer Engineering University of Florida USA Dept. of Mathematical Statistics Lund University Sweden Dept. of Electrical Engineering University of Taif Saudi Arabia

ISBN: (纸本)9781479923915

High-resolution sparse spectral estimation techniques have recently been shown to offer significant performance gains as compared to most conventional estimation approaches, although such methods typically suffer the drawback of being computationally cumbersome. In this paper, we seek to alleviate this drawback somewhat, examining computationally efficient implementations of the recent iterative sparse maximum likelihood-based approaches (SMLA), exploiting the inherent rich structure of these estimators. The derived implementations reduce the resulting computational complexity with at least one order of magnitude, while still yielding exact implementations. The effectiveness of the discussed techniques are illustrated using experimental examples.

关键词： Estimation Educational institutions Covariance matrices Zinc Iterative methods Image resolution Synthetic aperture radar

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Perspectives on cognitive computers and knowledge processors

Perspectives on cognitive computers and knowledge processors

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作者： Wang, Yingxu Fariello, Gabriele Gavrilova, Marina L. Kinsner, Witold Mizoguchi, Fumio Patel, Shushma Patel, Dilip Pelayo, Fernando L. Raskin, Victor Shell, Duane F. Tsumoto, Shusaku Department of Electrical and Computer Engineering Schulich School of Engineering Calgary Canada Neuroinformatics Research Group Center for Brain Science Harvard University Cambridge MA United States Department of Computer Science University of Calgary Calgary Canada Cognitive Systems Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg Canada Winnipeg Canada Next Generation of Data Mining Division Tokyo University of Science Chiba Japan London South Bank University London United Kingdom Albacete Spain LING/CERIAS/CS/CIT Purdue University West Lafayette IN United States Department of Educational Psychology University of Nebraska-Lincoln Lincoln NE United States Department of Medical Informatics Faculty of Medicine Shimane University Matsue Japan

Cognitive informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. CI aims to investigate the internal information processing mechanisms and processes of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering applications in cognitive computing and computational intelligence. This paper reports a set of eleven position statements presented in the plenary panel of IEEE ICCI *CC'13 on Cognitive computers and Knowledge Processors contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing. Copyright © 2013, IGI Global.

关键词： Semantics

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Erratum to: Measurement of the W boson polarisation in [Formula: see text] events from pp collisions at [Formula: see text] in the lepton + jets channel with ATLAS

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The European physical journal. C, Particles and fields 2019年第1期79卷 19页

作者： M Aaboud G Aad B Abbott J Abdallah O Abdinov B Abeloos O S AbouZeid N L Abraham H Abramowicz H Abreu R Abreu Y Abulaiti B S Acharya S Adachi L Adamczyk D L Adams J Adelman S Adomeit T Adye A A Affolder T Agatonovic-Jovin J A Aguilar-Saavedra S P Ahlen F Ahmadov G Aielli H Akerstedt T P A Åkesson A V Akimov G L Alberghi J Albert S Albrand M J Alconada Verzini M Aleksa I N Aleksandrov C Alexa G Alexander T Alexopoulos M Alhroob B Ali M Aliev G Alimonti J Alison S P Alkire B M M Allbrooke B W Allen P P Allport A Aloisio A Alonso F Alonso C Alpigiani A A Alshehri M Alstaty B Alvarez Gonzalez D Álvarez Piqueras M G Alviggi B T Amadio Y Amaral Coutinho C Amelung D Amidei S P Amor Dos Santos A Amorim S Amoroso G Amundsen C Anastopoulos L S Ancu N Andari T Andeen C F Anders J K Anders K J Anderson A Andreazza V Andrei S Angelidakis I Angelozzi A Angerami F Anghinolfi A V Anisenkov N Anjos A Annovi C Antel M Antonelli A Antonov D J Antrim F Anulli M Aoki L Aperio Bella G Arabidze Y Arai J P Araque V Araujo Ferraz A T H Arce F A Arduh J-F Arguin S Argyropoulos M Arik A J Armbruster L J Armitage O Arnaez H Arnold M Arratia O Arslan A Artamonov G Artoni S Artz S Asai N Asbah A Ashkenazi B Åsman L Asquith K Assamagan R Astalos M Atkinson N B Atlay K Augsten G Avolio B Axen M K Ayoub G Azuelos M A Baak A E Baas M J Baca H Bachacou K Bachas M Backes M Backhaus P Bagiacchi P Bagnaia Y Bai J T Baines M Bajic O K Baker E M Baldin P Balek T Balestri F Balli W K Balunas E Banas Sw Banerjee A A E Bannoura L Barak E L Barberio D Barberis M Barbero T Barillari M-S Barisits T Barklow N Barlow S L Barnes B M Barnett R M Barnett Z Barnovska-Blenessy A Baroncelli G Barone A J Barr L Barranco Navarro F Barreiro J Barreiro Guimarães da Costa R Bartoldus A E Barton P Bartos A Basalaev A Bassalat R L Bates S J Batista J R Batley M Battaglia M Bauce F Bauer H S Bawa J B Beacham M D Beattie T Beau P H Beauchemin P Bechtle H P Beck K Becker M Becker M Beckingham C Becot A J Beddall A Beddall V A Bednyakov M Bedognetti C P Bee L J Beemster T A Bee 180Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco. 115CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France. 144Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK USA. 10Department of Physics The University of Texas at Arlington Arlington TX USA. Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan. 148LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France. 183Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA USA. 199Department of Physics and Astronomy University of Sussex Brighton UK. 203Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel. 202Department of Physics Technion: Israel Institute of Technology Haifa Israel. 147Center for High Energy Physics University of Oregon Eugene OR USA. 195Department of Physics Stockholm University Stockholm Sweden. 196The Oskar Klein Centre Stockholm Sweden. 217INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy. 218ICTP Trieste Italy. 205International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan. 60Faculty of Physics and Applied Computer Science AGH University of Science and Technology Kraków Poland. 36Physics Department Brookhaven National Laboratory Upton NY USA. 139Department of Physics Northern Illinois University DeKalb IL USA. 130Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany. 170Particle Physics Department Rutherford Appleton Laboratory Didcot UK. 16Institute of Physics University of Belgrade Belgrade Serbia. 159Laboratório de Instrumentação e Física Experimental de Partículas-LIP Lisbon Portugal. 164Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain. 30Department of Physics Boston University Boston MA USA. 94Joint Institute for Nuclear Research JINR Dubna Dubna Russia. 173INFN Sezione d

[This corrects the article DOI: 10.1140/epjc/s10052-017-4819-4.].

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