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International Conference on Computational Intelligence and Networks (CINE)

作者： Aradhana Kar Pinaki Sankar Chatterjee Dept. of Computer Science Engineering & Application Indira Gandhi Institute of Technology Sarang Odisha School of Computer Engineering Kalinga Institute of Industrial Technology Bhubaneswar Odisha

Sign Language is the language of deaf. There are different types of sign languages spread all over the world. American Sign Language (ASL) is one of the sign languages. ASL is used by deaf Americans. We had created a system that translates sign language videos to simple sentence in English. This system is taking a lot of time for mapping the sign language videos to its corresponding sign writing images. This paper discusses an approach for minimizing the processing time taken for mapping the sign language videos to its corresponding sign writing images.

关键词： Assistive technology Gesture recognition Grammar Natural languages Speech Speech recognition

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A fuzzy-rough set based ontology for hybrid recommendation

A fuzzy-rough set based ontology for hybrid recommendation

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Hsun-Hui Huang Horng-Chang Yang Eric Hsueh-Chan Lu Dept. of Information Application and Management Tajen University Taiwan Dept. of Computer science and information engineering National Taitung University Dept. of Geomatics National Cheng Kung University Taiwan

In the paper, a novel ontology-based recommendation model based on a fuzzy-rough hybrid mechanism is proposed. This model integrates the principles of both content-based and collaborative filtering recommender systems. The proposed model unified user profile/item characteristics profile representations in a concept level space. Hence not only the user preferences and the correlation between items, but also the information of other users with similar preferences can be used for more precise recommendation.

关键词： Approximation methods Ontologies Recommender systems Inference mechanisms Computational modeling Semantics Collaboration

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FML-based Intelligent Adaptive Assessment Platform for Learning Materials Recommendation

FML-based Intelligent Adaptive Assessment Platform for Learn...

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IEEE International Conference on Fuzzy Systems

作者： Chang-Shing Lee Mei-Hui Wang Jian-Lin Yu Koun-Hong Lin Ting-Tzu Lin Sheng-Chi Yang Sheng-Lun Cho Dept. of Computer Science and Information Engineering National University of Tainan Center for Research of Knowledge Application & Web Service National University of Tainan

ISBN: (纸本)9781467374293

There are many students learning their academic studies via on-line education platform with many learning materials;however, how to select learning materials that exactly fit to their competence is not easy for them. This paper proposes an intelligent adaptive assessment platform (IAAP) to allow students to do adaptive testing to assess their learning ability. Additionally, this paper also proposes an FML-based fuzzy inference mechanism to infer the rank of the recommended learning materials based on the constructed fuzzy ontology, including knowledge base and rule base. The learning-material recommendation mechanism then outputs the recommended learning materials to the students based on the constructed ontologies and the inferred rank of the recommended learning materials. Finally, after learning, students provide a feedback to the IAAP and starts next learning iteration to achieve the goal of students' learning progress. Experimental results show that the developed IAAP is able to correctly estimate students' ability and the proposed approach is feasible for learning materials' recommendation and self-learning.

关键词： Fuzzy Ontology Learning Materials Recommendation Adaptive Assessment Fuzzy Markup Language

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application of data mining techniques for defect detection and classification 3

Application of data mining techniques for defect detection a...

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3rd International Conference on Frontiers in Intelligent Computing: Theory and applications, FICTA-2014

作者： Ajay Prakash, B.V. Ashoka, D.V. Manjunath Aradya, V.N. Dept. Of Information Science and Engineering SJBIT Bangalore India Dept. Of Computer Science and Engineering JSSATE Bangalore India Dept. Of Master of Computer Application SJCE Mysore India

ISBN: (纸本)9783319119328

In order to overcome the software development challenges like delivering a project on time`, developing quality software products and reducing development cost, software industries commonly uses defect detection software tools to manage quality in software products. Defects are detected and classified based on their severity, this can be automated in order to reduce the development time and cost. Nowadays to extract useful knowledge from large software repositories engineers and researchers are using data mining techniques. In this paper, software defect detection and classification method is proposed and data mining techniques are integrated to identify, classify the defects from large software repository. Based on defects severity proposed method discussed in this paper focuses on three layers: core, abstraction and application layer. The designed method is evaluated using the parameters precision and recall. © Springer International Publishing Switzerland 2015.

关键词： Defects

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Knowing minimum mobile device delivery context to maintain standard for m-learning in university scenario 2

Knowing minimum mobile device delivery context to maintain s...

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2014 2nd International Conference on Business and Information Management, ICBIM 2014

作者： Pal, Saurabh Choudhury, Prasenjit Mukherjee, Srabasti Nandi, Subrata Dept. of CSE IT Bengal Institute of Technology Kolkata India Dept. of Computer Application National Institute of Technology Durgapur India Dept. of Computer Application Bengal Institute of Technology Kolkata India Dept. of Computer Science and Engineering National Institute of Technology Durgapur India

ISBN: (纸本)9781479932641

Mobile devices are completely heterogonous in respect to hardware and software, thus adaptation of e-learning content is necessary for supporting the contents to get fit into as per the mobile device suitability. Knowing the various attributes and capability information of a mobile device is necessary for proper content adaptation. As there are hundreds of information which can be known about a mobile device, choosing the proper ones are absolutely necessary as per the application requirement. The present paper provides the various techniques by which information regarding a mobile device can be known and the minimum information of which is needed for content adaptation in a mobie based learning or m-learning application in a University Campus scenario with maintaining standards. © 2014 IEEE.

关键词： E-learning

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Non-zero multi-valued decision diagram (NZMDD) based synthesis of multi-valued logic (MVL) functions

Non-zero multi-valued decision diagram (NZMDD) based synthes...

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5th International Conference on Manufacturing Science and Technology, ICMST 2014

作者： Chowdhury, Adib Kabir Raj, Nikhil Singh, Ashutosh Kumar Dept. of Electrical and Computer Engineering Curtin University Miri Sarawak Malaysia Dept. of Computer Application National Institute of Technology Kurukshetra India

ISBN: (纸本)9783038351580

In this paper a method for synthesizing Reduced Multi-Valued Logic Networks (RMVLNs) using NZMDD is presented. MVL functions represented as large MVLNs are reduced by RMVLN. The detailed working of NZMDD method is presented elaborately in this paper. It is observed that reduced average Product Term (PT) is achieved in MVL synthesis using NZMDD. Experimental analysis is carried out by examining randomly generated 49998 non-sequential benchmark circuits. An improvement average PT reduction of 12.486% is noted in comparison to evolutionary ACO-MVL algorithm. © (2014) Trans Tech Publications, Switzerland.

关键词： Evolutionary algorithms

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Enhancement in security of AODV Protocol against blackhole attack in MANET 14

Enhancement in security of AODV Protocol against blackhole a...

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International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2014

作者： Rai, Anuj Kapoor, R.K. Patel, Rajeev Karaulia, D.S. Dept. of Computer Engineering and Application National Institute of Technical Teacher's Training and Research Bhopal India

ISBN: (纸本)9781450332163

Mobile Ad-hoc Network is a special kind of computer network which do not rely on any fixed infrastructure. Due to their dynamism and addictive functionality, they are vulnerable to various attacks. Black-hole attack is one kind of attack which can be applied on MANET. In this attack the malicious node claims that it is having shortest and the freshest path to the destination node so that all the data packets are forwarded to it from the source node. After receiving the data packets, it drops them to create a Denial of Service attack or processes to extract information from the packet. In this paper a technique is being proposed for the detection of the black-hole or malicious node can be possible in Ad-hoc On Demand Vector Routing Protocol. In this a new request, a kind of trap process is implemented for the detection of black-hole nodes. When the malicious nodes are detected after that an alarming process is implemented to make other nodes aware of malicious nodes.

关键词： Denial-of-service attack

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Erratum to: Search for squarks and gluinos in final states with one isolated lepton, jets, and missing transverse momentum at s = 13 TeV with the ATLAS detector

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The European Physical Journal C 2021年第10期81卷 1-15页

作者： Aad, G. Abbott, B. Abbott, D. C. Abed Abud, A. Abeling, K. Abhayasinghe, D. K. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B. S. Achkar, B. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Adelman, J. Adiguzel, A. Adorni, S. Adye, T. Affolder, A. A. Afik, Y. Agapopoulou, C. Agaras, M. N. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahmad, A. Ahmadov, F. Ahmed, W. S. Ai, X. Aielli, G. Akatsuka, S. Akbiyik, M. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Al Khoury, K. Alberghi, G. L. Albert, J. Alconada Verzini, M. J. Alderweireldt, S. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexopoulos, T. Alfonsi, A. Alfonsi, F. Alhroob, M. Ali, B. Ali, S. Aliev, M. Alimonti, G. Allaire, C. Allbrooke, B.M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, F. Alpigiani, C. Alunno Camelia, E. Alvarez Estevez, M. Alviggi, M. G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amrouche, C. S. An, F. Anastopoulos, C. Andari, N. Andeen, T. Anders, J. K. Andrean, S. Y. Andreazza, A. Andrei, V. Anelli, C. R. Angelidakis, S. Angerami, A. Anisenkov, A. V. Annovi, A. Antel, C. Anthony, M. T. Antipov, E. Antonelli, M. Antrim, D.J. A. Anulli, F. Aoki, M. Aparisi Pozo, J. A. Aparo, M. A. Aperio Bella, L. Aranzabal, N. Araujo Ferraz, V. Araujo Pereira, R. Arcangeletti, C. Arce, A.T. H. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Armbruster, A. J. Armstrong, A. Arnaez, O. Arnold, H. Arrubarrena Tame, Z. P. Artoni, G. Asada, H. Asai, K. Asai, S. Asawatavonvanich, T. Asbah, N. Asimakopoulou, E. M. Asquith, L. Assahsah, J. Assamagan, K. Astalos, R. Atkin, R. J. Atkinson, M. Atlay, N. B. Atmani, H. Atmasiddha, P. A. Augsten, K. Austrup, V. A. Avolio, G. Ayoub, M. K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Backman, F. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A. J. Bailey, V. R. Baines, J. T. Bakalis, C. Baker, O. K. Bakker, P. J. Bakos, E. Bakshi Gupta, D. Balaji, S. Balasubramanian, R. Baldin, E. M. Balek, P. Balli, F. Balunas CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Department of Physics University of Massachusetts Amherst USA CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham UK Department of Physics University of Toronto Toronto Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton UK 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 High Energy Physics Division Argonne National Laboratory Argonne USA INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London UK Institut für Physik Universität Mainz Mainz Germany LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Department of Physics Northern Illinois University DeKalb USA Department of Physics Bogazici University Istanbul Turkey Dept. of Physics Istanbul University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Geneva Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot UK Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz USA IJCLab CNRS/IN2P3 Université Paris-Saclay Orsay France LPC Université Clermont Auvergne CNRS/IN2P3 Clermont-Ferrand France Institute for Mathematics Astrophysics and Particle Physics Radboud University/Nikhef Nijmegen The Netherlands Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física E

A correction to this paper has been published: 10.1140/epjc/s10052-021-09344-w

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Sensor data abstraction using flexible layered slope grid

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第2期7卷 109-118页

作者： Jung, Young Jin Jeong, Seon-Phil Shin, Moon Sun Choi, Hyunmi Agency for Defense Development Korea Republic of Division of Technology and Science BNU-HKBU United International College China Dept. of Computer Engineering Konkuk University Korea Republic of Dept. of Advanced Application Environment Development KISTI Korea Republic of

An environmental monitoring application is designed to monitor and track various kinds of environmental phenomena such as water pollution and global warming. By collecting detected sensor data from the sensors installed at a target place, a monitoring system analyzes and predicts an environmental change. For smoothly answering a user query, a data abstraction model is designed to rapidly process an amount of sensor data by employing data filtering, data aggregation, and data summarization. In order to dynamically represent the different layer of sensor data in a region, we design FLSA (Flexible Layered Sensor Data Abstraction), which supports a flexible layer of SGSA (Slope Grid for Sensor Data Abstraction). When the sensor data is transmitted to a server, FLSA make some clusters to shows several layer of sensor data depending on sensor data gradient. Each cell of FLSA hasa set of SGSA to represent each sensor data layer in the cell. This layered SGSA of FLSA is useful to represent a distributed sensor data in a cell. When an abstraction model is used to environmental monitoring, there is a trade-off between faster data processing anddata representation. FLSA focuses on data representation to show detailed condition of a target place. © 2014 SERSC.

关键词： Water pollution

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One and two-mode squeezing of thermal fluctuations in a cavity optomechanical system by parametric modulation of the optical spring

One and two-mode squeezing of thermal fluctuations in a cavi...

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European Quantum Electronics Conference, EQEC 2015

作者： Pontin, A. Bonaldi, M. Borrielli, A. Cataliotti, F.S. Marconi, L. Marino, F. Pandraud, G. Prodi, G.A. Serra, E. Marin, F. I-50019 Italy Sezione di Firenze Italy Institute of Materials for Electronics and Magnetism Nanoscience-Trento-FBK Division Povo Trento38123 Italy Trento Institute for Fundamental Physics and Application Povo TrentoI-38123 Italy CNR-INO L. go Enrico Fermi 6 FirenzeI-50125 Italy Dept. of Microelectronics and Computer Engineering/ECTM/DIMES Delft University of Technology Feldmanweg 17 CT Delft2628 Netherlands Dipartimento di Fisica Università di Trento Povo TrentoI-38123 Italy I-50019 Italy

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