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28th IASTED International Conference on Modelling, Identification, and Control, MIC 2009

作者： Das, Sunil R. Mukherjee, Sujoy Biswas, Satyendra N. Hossain, altaf Petriu, Emil M. School of Information Technology and Engineering Faculty of Engineering University of Ottawa Ottawa ON K1N 6N5 Canada Department of Computer and Information Science College of Arts and Sciences Troy University Montgomery AL 36103 United States Department of Electrical Engineering Technology Georgia Southern University Statesboro GA 30460 United States

ISBN: (纸本)9780889867826

The design of space-efficient support hardware for built-in self-testing (BIST) is of major significance in the realization of embedded cores-based system-on-chips (SOCs). The subject paper reports on further studies on a new space compression technique that facilitates designing such circuits using pseudorandom and compact test sets, with the primary objective of minimizing the storage requirements for the circuit under test (CUT) while maintaining the fault coverage information. The proposed compaction technique utilizes the concept of fault graded output merger based on the information of strong and simply compatibles pairs of response data outputs of the CUT. The approach developed herein guarantees simple design with 100% fault coverage for single stuck-line faults, low CPU simulation time and acceptable area overhead. Simulation runs on ISCAS 85 combinational and ISCAS 89 full scan sequential benchmark circuits with simulation programs FSIM and ATalANTA confirm the usefulness of the suggested methodology.

关键词： System-on-chip

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Measurement of the inclusive isolated prompt photon cross section in pp collisions at s=7 TeV with the ATLAS detector

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Physical Review D 2011年第5期83卷 052005-052005页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. alam M. A. alam S. albrand M. aleksa I. N. aleksandrov M. aleppo F. alessandria C. alexa G. alexander G. alexandre T. alexopoulos M. alhroob M. aliev G. alimonti J. alison M. aliyev P. P. allport S. E. allwood-Spiers J. almond A. aloisio R. alon A. alonso J. alonso M. G. alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos N. Andari T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Str. 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Univ. Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano via Celoria 16 IT - 20133 Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Strada Costiera 11 IT-34014 Trieste Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics PO Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdo

A measurement of the cross section for the inclusive production of isolated prompt photons in pp collisions at a center-of-mass energy s=7 TeV is presented. The measurement covers the pseudorapidity ranges |ηγ|<1.37 and 1.52≤|ηγ|<1.81 in the transverse energy range 15≤ETγ<100 GeV. The results are based on an integrated luminosity of 880 nb−1, collected with the ATLAS detector at the Large Hadron Collider. Photon candidates are identified by combining information from the calorimeters and from the inner tracker. Residual background in the selected sample is estimated from data based on the observed distribution of the transverse isolation energy in a narrow cone around the photon candidate. The results are compared to predictions from next-to-leading-order perturbative QCD calculations.

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Measurement of underlying event characteristics using charged particles in pp collisions at s=900 GeV and 7 TeV with the ATLAS detector

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Physical Review D 2011年第11期83卷 112001-112001页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya M. Ackers D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad H. Ahmed M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. alam M. A. alam S. albrand M. aleksa I. N. aleksandrov M. aleppo F. alessandria C. alexa G. alexander G. alexandre T. alexopoulos M. alhroob M. aliev G. alimonti J. alison M. aliyev P. P. allport S. E. allwood-Spiers J. almond A. aloisio R. alon A. alonso J. alonso M. G. alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli J. Antos B. Antunovic F. Anulli S. Aoun R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin T. Argyropoulos E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes E. Badescu P. Bagnaia Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battistin Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Strasse 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Université du Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics P.O. Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdom Rutherford Appleton Laboratory Science and Technology Facili

Measurements of charged particle distributions, sensitive to the underlying event, have been performed with the ATLAS detector at the LHC. The measurements are based on data collected using a minimum-bias trigger to select proton-proton collisions at center-of-mass energies of 900 GeV and 7 TeV. The “underlying event” is defined as those aspects of a hadronic interaction attributed not to the hard scattering process, but rather to the accompanying interactions of the rest of the proton. Three regions are defined in azimuthal angle with respect to the highest transverse momentum charged particle in the event, such that the region transverse to the dominant momentum-flow is most sensitive to the underlying event. In each of these regions, distributions of the charged particle multiplicity, transverse momentum density, and average pT are measured. The data show generally higher underlying event activity than that predicted by Monte Carlo models tuned to pre-LHC data.

关键词： PROTON-proton interactions NUCLEAR reactions DETECTORS SCATTERING (Physics) HADRONS

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Application of artificial neural network in detection of probing attacks

Application of artificial neural network in detection of pro...

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2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009

作者： Ahmad, Iftikhar Abdullah, Azween B. alghamdi, Abdullah S. DCIS UTP Bandar Seri Iskandar 31750 Tronoh Perak Malaysia DSE CCIS King Saud University P.O. Box 51178 Riyadh 11543 Saudi Arabia Department of Computer and Information Sciences Universiti Teknologi PETRONAS Bandar Seri Iskandar 31750 Tronoh Perak Malaysia Department of Software Engineering College of Computer and Information Sciences King Saud University P.O. Box 51178 Riyadh 11543 Saudi Arabia

ISBN: (纸本)9781424446827

The prevention of any type of cyber attack is indispensable because a single attack may break the security of computer and network systems. The hindrance of such attacks is entirely dependent on their detection. The detection is a major part of any security tool such as Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Adaptive Security alliance (ASA), check points and firewalls. Consequently, in this paper, we are contemplating the feasibility of an approach to probing attacks that are the basis of others attacks in computer network systems. Our approach adopts a supervised neural network phenomenon that is majorly used for detecting security attacks. The proposed system takes into account Multiple Layered Perceptron (MLP) architecture and resilient backpropagation for its training and testing. The system uses sampled data from Kddcup99 dataset, an attack database that is a standard for evaluating the security detection mechanisms. The developed system is applied to different probing attacks. Furthermore, its performance is compared to other neural networks' approaches and the results indicate that our approach is more precise and accurate in case of false positive, false negative and detection rate. © 2009 IEEE.

关键词： Neural networks

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Semantic integration of adaptive educational systems

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作者： Sosnovsky, Sergey Brusilovsky, Peter Yudelson, Michael Mitrovic, Antonija Mathews, Moffat Kumar, Amruth School of Information Sciences University of Pittsburgh 135 North Bellefield Ave. Pittsburgh PA 15260 United States Department of Computer Science and Software Engineering University of Canterbury Private Bag 4800 Christchurch 8140 New Zealand Ramapo College of New Jersey 505 Ramapo Valley Road Mahwah NJ 07430-1680 United States

ISBN: (纸本)3642050387

With the growth of adaptive educational systems available to students, integration of these systems is evolving from an interesting research problem into an important practical task. One of the challenges that needs to be addressed is the development of mechanisms for student model integration. The architectural principles and representation technologies employed by adaptive educational systems define the applicability of a particular integration approach. This chapter reviews the existing mechanisms and details one of them: the evidence integration. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Students

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Hybrid test vector compression in system-on-chip test — An overview and methodology

Hybrid test vector compression in system-on-chip test — An ...

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International Conference on computers and Devices for Communication (CODEC)

作者： Satyendra N. Biswas Sunil R. Das Emil M. Petriu altaf Hossain Department of Electrical Engineering Technology Georgia Southern University Statesboro GA USA School of Information Technology and Engineering Faculty of Engineering University of Ottawa Ottawa ONT Canada Department of Computer and Information Science College of Arts and Sciences Troy University Montgomery AL USA

This paper presents a comprehensive study on a number of hybrid test vector compression methods for VLSI circuit testing. In the proposed approaches, a software program is loaded into the on-chip processor memory along with the compressed test data sets. To minimize on-chip storage besides testing time, the test data volume is first reduced by compaction in a hybrid manner before downloading into the processor. The methods utilize a set of adaptive coding techniques for realizing lossless compression. The compaction program need not be loaded into the embedded processor, as only the decompression of test data is required for the automatic test equipment. The developed schemes necessitate minimal hardware overhead, while the on-chip embedded processor can be reused for normal operation on completion of testing. As an extension of the earlier works, this paper also reports further results on studies of the problem and demonstrates the feasibility of the suggested methodologies with simulation results on ISCAS 85 combinational and ISCAS 89 full scan sequential benchmark circuits.

关键词： System testing System-on-a-chip Circuit testing Compaction Very large scale integration software testing Adaptive coding Automatic testing Automatic test equipment Hardware

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Application of artificial neural network in detection of probing attacks

Application of artificial neural network in detection of pro...

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IEEE Symposium on Industrial Electronics & Applications (ISIEA)

作者： Iftikhar Ahmad Azween B Abdullah Abdullah S alghamdi Universiti Teknologi PETRONAS Seri Iskandar Perak MY Department of Computer & Information Sciences Universiti Teknologi Petronas Bandar Seri Iskandar Tronoh Perak Malaysia Department of Software Engineering College of Computer & Information Sciences King Saud University Riyadh Saudi Arabia

The prevention of any type of cyber attack is indispensable because a single attack may break the security of computer and network systems. The hindrance of such attacks is entirely dependent on their detection. The detection is a major part of any security tool such as intrusion detection system (IDS), intrusion prevention system (IPS), adaptive security alliance (ASA), check points and firewalls. Consequently, in this paper, we are contemplating the feasibility of an approach to probing attacks that are the basis of others attacks in computer network systems. Our approach adopts a supervised neural network phenomenon that is majorly used for detecting security attacks. The proposed system takes into account multiple layered perceptron (MLP) architecture and resilient backpropagation for its training and testing. The system uses sampled data from Kddcup99 dataset, an attack database that is a standard for evaluating the security detection mechanisms. The developed system is applied to different probing attacks. Furthermore, its performance is compared to other neural networks' approaches and the results indicate that our approach is more precise and accurate in case of false positive, false negative and detection rate.

关键词： Artificial neural networks Intrusion detection computer networks Neural networks Data security Application software computer security Adaptive systems computer architecture Backpropagation

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A Hybrid Particle Swarm Optimization algorithm for Multimodal Function Optimization

A Hybrid Particle Swarm Optimization Algorithm for Multimoda...

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International Workshop on Intelligent Systems and Applications, ISA

作者： Jirong Gu Lin Lin Hui Wang College of Geography and Resources Sciences Sichuan Normal University China Department of Computer Science Yili Normal School Yining China State Key Laboratory of Software Engineering Wuhan University of China China

Particle swarm optimization (PSO) has shown its good performance on numerical function problems. However, on some multimodal functions the PSO easily suffers from premature convergence because of the rapid decline in velocity. In this paper, a hybrid PSO algorithm, called HPSO, is proposed, which employs a modified velocity model to guarantee a non-zero velocity. In addition, a Cauchy mutation operator conducted on the global best particle is used for improving the global search ability of PSO. Experimental studies on a suite of multimodal functions with many local minima show that the HPSO outperforms the standard PSO, CEP, Gaussian swarm with Gaussian mutation (GPSO+GJ) and Gaussian swarm with Cauchy mutation (GPSO+CJ) on most test functions.

关键词： Particle swarm optimization Genetic mutations Evolutionary computation Equations software algorithms Educational institutions Geography computer science software engineering Convergence

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Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids

Brain Image Registration Analysis Workflow for fMRI Studies ...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Suraj Pandey William Voorsluys Musta?zur Rahman Rajkumar Buyya James Dobson Kenneth Chiu Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Psychological & Brain Sciences Dartmouth College USA Grid Computing Research Laboratory Department of Computer Science State University of New York Binghamton NY USA

Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of globally distributed resources and suitable middlewares, we can achieve much shorter execution time, distribute compute and storage load, and add greater flexibility to the execution of these scientific applications than we could ever achieve in a single compute *** this paper, we present the processing of image registration (IR) for functional magnetic resonance imaging(fMRI) studies on global grids. We characterize the application, list its requirements and transform it to a workflow. We then execute the application on Gridpsila5000 platform and present extensive performance results. We show that the IR application can have 1) significantly improved makespan, 2) distribution of compute and storage load among resources used, and 3) flexibility when executing multiple times on global Grids.

关键词： Brain Image registration Image analysis Distributed computing Grid computing Optical computing Image storage Neuroscience Data analysis Middleware

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Simulation study of effect of magnetic field over I-V characteristic of intrinsic stacked Josephson junctions

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International Journal of Nanomanufacturing 2009年第1-4期4卷 342-349页

作者： Khan, Jamal Akhtar Shahabuddin, M. College of Computer Engineering and Sciences at Kharj King Saud University P.O. Box 151 Kharj 11942 Saudi Arabia FTK Centre for Information Technology Jamia Millia Islamia Jamia Nagar New Delhi 110 025 India Department of Physics and Astronomy College of Science King Saud University P.O. Box 2455 Riyadh 11451 Saudi Arabia Department of Physics Jamia Millia Islamia New Delhi 110025 India

Josephson junction (JJ) is natural high frequency source tuneable up to terahertz. However the line width of single JJ is large and maximum power is small. The line width can be narrowed and power can be increased by using phase locked arrays of many nearly identical JJs. The single crystal and c-axis oriented CuO based high temperature superconductors (HTS) are natural stacks of JJs with the CuO2 layer of 0.3 nm acting as superconducting electrodes and the Bi2O3 or Tl2O3 or Y2O3 or (Ba, Ca)O layers of approximately 1.0 nm acting as insulating barrier (intrinsic Josephson effect). The I-V characteristic of the intrinsic stacked Josephson junctions (ISJJ) as a function of magnetic field are simulated. ISJJ has been modelled as one dimensional series array of JJ. Each JJ of the series is considered as resistively shunted junction model in which the effect of capacitance, inductance and a current source producing white noise are included. The critical current of the ISJJ as function of magnetic field shows Fraunhoffer like pattern. The simulated results have been compared with the Tl2212 mesas experimental results. It has been found that the simulated results are in good agreement with the experimental one. Copyright © 2009, Inderscience Publishers.

关键词： Magnetic fields

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