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Mediterrannean Microwave Symposium (MMS)

作者： A. Hamani R. Touhami M. C. E. Yagoub Instrumentation Laboratory Faculty of Electronics and Informatics U.S.T.H.B Algiers Algeria School of Electrical Engineering and Computer Science University of Ottawa Ottawa ON Canada

In this paper, a novel miniaturized UHF Radio-Frequency Identification (RFID) tag dipole antenna is proposed. Its original structure consists on a series of parallel arms connected to a perpendicular line at their ends. This configuration allows decreasing the physical length of the dipole antenna. A short stub is used at the input to provide a flexible impedance tuning. Two antennas were designed with different sizes. The first antenna, designed for both North American and European bands, has a size of 76.5 mm times 16 mm. The second designed antenna operates in the North American band and has a size of 48.5 mm times 25.5 mm. The two antennas exhibit respective efficiencies of 85 per cent and 74 per cent, making them suitable for RFID applications.

关键词： Dipole antennas Radiofrequency identification Impedance UHF antennas Gain Antenna radiation patterns

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A survey of e-learning security

A survey of e-learning security

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International Conference on ICT For Smart Society (ICISS)

作者： Satria Mandala A. H. Abdullah A. S. Ismail Department of Informatics Engineering Faculty of Science and Technology State Islamic University of Maulana Malik Ibrahim (UIN-Maliki) Malang Indonesia Department of Computer Science Faculty of Computing Universiti Teknologi Malaysia Skudai Johor Malaysia

E-learning is one of the most powerful responses to the growing need for education. It could be as effective as conventional face to face classroom learning under certain situation. Some researchers have proved that e-learning has a positive impact not only for learners, but also for instructors and providers. In fact, e-learning reduces costs, time and improves the performance of learning. However, most of e-learning systems are vulnerable to many attacks. This paper surveys the current protections to address the vulnerabilities of the e-learning systems. It also provides a categorization to the e-learning protections based on source of vulnerabilities.

关键词： Electronic learning Security Privacy Internet Data privacy Face

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WORL: a nonmonotonic rule language for the semantic web

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Vietnam Journal of computer Science 2013年第1期1卷 57-69页

作者： Cao, Son Thanh Nguyen, Linh Anh Szałas, Andrzej Faculty of Information Technology Vinh University Vinh Vietnam VNU University of Engineering and Technology Hanoi Vietnam Institute of Informatics University of Warsaw Warsaw Poland Department of Computer and Information Science Linköping University Linköping Sweden

We develop a new Web ontology rule language, called WORL, which combines a variant of OWL 2 RL with eDatalog $$^\lnot $$ . We allow additional features like negation, the minimal number restriction and unary external checkable predicates to occur at the left-hand side of concept inclusion axioms. Some restrictions are adopted to guarantee a translation into eDatalog $$^\lnot $$ . We also develop the well-founded semantics and the stable model semantics for WORL as well as the standard semantics for stratified WORL (SWORL) via translation into eDatalog $$^\lnot $$ . Both WORL with respect to the well-founded semantics and SWORL with respect to the standard semantics have PTime data complexity. In contrast to the existing combined formalisms, in WORL and SWORL negation in concept inclusion axioms is interpreted using nonmonotonic semantics.

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Agile online-trained neural network models by using Robust Fixed Point Transformations

Agile online-trained neural network models by using Robust F...

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IEEE International Symposium on Intelligent Signal Processing

作者： Teréz A. Várkonyi Vincenzo Piuri József K. Tar Annamária R. Várkonyi-Kóczy Imre J. Rudas John von Neumann Faculty of Informatics Obuda University Budapest Hungary Department of Computer Science Universitá degli Studi di Milano Crema Italy Institute of Applied Mathematics John von Neumann Faculty of Informatics Obuda University Budapest Hungary Donát Bánki Faculty of Mechanical and Safety Engineering Obuda University Budapest Hungary

Nowadays, in the field of information processing, neural networks (NNs) are very used, because they can learn adaptively how to behave in a desired way. In the field of adaptive control, NNs are the most beneficial when the system to be controlled is not known in advance, because the system can be modeled by NNs to predict its behavior. In this case, it is very important how accurate the estimation of the NN is, since if the approximation is too rough then extra calculations are needed to get better results. One of the possibilities for improving the NN model is on-line learning during the control process, but this option requires high computational time. Another possibility is the application of Robust Fixed Point Transformations (RFPT), since though, it can only guarantee local stability, RFPT has been developed to reduce the inaccuracy caused by modeling errors and it does not need high computational time. In this paper, a new combination of the two methods the on-line trained neural networks and RFPT is proposed to decrease the computational burden caused by the on-line adaptation and keep the results close to optimum.

关键词： Artificial neural networks Approximation methods Training Adaptation models Robustness Computational modeling

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Integrating renewable energy sources using a smart household system

Integrating renewable energy sources using a smart household...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Miroslav Prýmek Aleš Horák Lukáš Prokop Stanislav Mišák Masarykova univerzita Brno JihomoravskÃ½ CZ Faculty of Informatics Masaryk University Botanicka 68a Brno Czech Republic Faculty of Electrical Power Engineering and Computer Science VSB - Technical University of Ostrava Ostrava - Poruba Czech Republic

The energy independence, security and reliability of operating energy distribution systems, along with the use of renewable energy sources (RES), are the most important topics of energy-related research and developmen... 详细信息

关键词： Home appliances Optimization Control systems Wind speed Power demand Renewable energy sources

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An Examination of the Concept of Smart School: An Innovation to Address Sustainability

An Examination of the Concept of Smart School: An Innovation...

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2013 2nd International Conference on Advances in computer Science and engineering(CSE 2013)

作者： Siavash Omidinia Maslin Masrom Harihodin Selamat Faculty of Computer Science and Information System Universiti Teknologi Malaysia UTM Razak School of Engineering and Advanced Technology Universiti Teknologi Malaysia UTM Advanced Informatics School Universiti Teknologi Malaysia

The smart school is a technology-based teachinglearning institution for preparing children for the Information Age. To achieve smarts schools educational objectives, these teaching and learning concepts should be covered: curricular, pedagogy, assessment and teaching-learning materials. Information and communication technology(ICT), as second pillar of smart school, plays many roles in a smart school, from facilitating teaching and learning activities to assisting with school management. For instance, some of technologies which can equip a smart school might be classrooms with multimedia courseware and presentation facilities, computer laboratory for teaching, multimedia development center and server room equipped to handle applications, management databases, and web servers. Although in recent years some efforts have been done for developing smart schools, there is not a pre-defined and an efficient solution for establishing ICT environment for smart schools. The main objective of this research is to examine pertinent aspects of smart school's concept, namely matters pertaining to teacher training, information technology(IT) infrastructure, and curriculum design to ensure that the innovation can successfully nurture a workforce prepared to meet the challenges of the ICT era.

关键词： Smart School E-Learning ICT Infrastructure

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Continuity of approximate reasoning with Łukasiewicz logic for optimization of fuzzy logic control

Continuity of approximate reasoning with Łukasiewicz logic ...

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Conference on Control and Fault-Tolerant Systems (SysTol)

作者： Takashi Mitsuishi Takanori Terashima Koji Saigusa Yasunari Shidama Faculty of Commerce University of Marketing and Distribution Sciences Kobe Japan International Institute of Applied Informatics Yonezawa Japan Faculty of Fine Art Kyusyu Sangyo University Fukuoka Japan Department of Computer Science & Engineering Shinshu University Nagano Japan

In this paper we analyze the existence of fuzzy controller as IF-THEN rules which minimize the performance functional of nonlinear feedback control. A bounded product (Łukasiewicz t-norm) and a bounded sum (Łukasiewicz t-conorm) are applied to the operations in the fuzzy reasoning for interpreting “AND” and “OR” respectively. In particular, the continuity of approximate reasoning is proved to show the optimal control.

关键词： Cognition Fuzzy logic Optimization Feedback control Optimal control Fuzzy sets Fuzzy control

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Analysis of image similarity with CBIR concept using wavelet transform and threshold algorithm

Analysis of image similarity with CBIR concept using wavelet...

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IEEE Symposium on computers & informatics (ISCI)

作者： A Haris Rangkuti Nashrul Hakiem Rizal Broer Bahaweres Agus Harjoko Agfianto Eko Putro Bina Nusantara University West Jakarta DKI Jakarta ID Department of Informatics Engineering Faculty of Science & Technology UIN Jakarta Indonesia Department of Computer Science University of Gadjah Mada Yogjakarta Indonesia

This paper carried out to develop the concept of CBIR by using Wavelet Transform Methods for feature form and texture extraction and adaptive histogram for feature color extraction. The method is not only recognize the images that have been stored in database, but also be able to find some resemblance ornament image or texture as well as form. Although They are different size, direction of slope, and the layout of texture and color. In calculating the percentage of similarity is not only based on performance measurement precision but also the image of the relevant. Basically Grade value calculation is using the fuzzyfication process to get the similarity values with the S-curve which is then used as input to perform retrieval of image with the threshold algorithm. It will display the image based on the representation of the highest grade in each query image, which has been compared with the image database. High grade values indicates that the characteristic image of the sample (query) is similar to the image database and others. After that proceed by comparing the value of grade representation of the image by using the min operator in fuzzy logic. The Advantage threshold algorithm is the simplicity of similarity image process when the performance of CBIR becomes more reliable.

关键词： Image color analysis Shape Databases Feature extraction Wavelet transforms Histograms

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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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Measurement of the Inelastic Proton-Proton Cross Section at s=13 TeV with the ATLAS Detector at the LHC

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Physical Review Letters 2016年第18期117卷 182002-182002页

作者： M. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola 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 M. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako 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 G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi C. Antel M. Antonelli A. Antonov F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque 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 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 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. Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA University of Iowa Iowa City Iowa USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas—LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nu

This Letter presents a measurement of the inelastic proton-proton cross section using 60 μb−1 of pp collisions at a center-of-mass energy s of 13 TeV with the ATLAS detector at the LHC. Inelastic interactions are selected using rings of plastic scintillators in the forward region (2.07<|η|<3.86) of the detector. A cross section of 68.1±1.4 mb is measured in the fiducial region ξ=MX2/s>10−6, where MX is the larger invariant mass of the two hadronic systems separated by the largest rapidity gap in the event. In this ξ range the scintillators are highly efficient. For diffractive events this corresponds to cases where at least one proton dissociates to a system with MX>13 GeV. The measured cross section is compared with a range of theoretical predictions. When extrapolated to the full phase space, a cross section of 78.1±2.9 mb is measured, consistent with the inelastic cross section increasing with center-of-mass energy.

关键词： Particle interactions Particle production Quark & gluon jets Hadron colliders

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