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IFIP Networking Conference

作者： Bruhadeshwar Bezawada Alex X. Liu Xiaojiang Liang Rui Li National Key Laboratory for Novel Software Technology Nanjing University Nanjing China Dept. of Computer Science and Engineering Michigan State University USA Mahindra Ecole Centrale School of Engineering Sciences Hyderabad India College of Computer Science and Networking Security Dongguan University of Technology

The ubiquitous wireless communication medium poses serious threats to the confidentiality and integrity of communication in constrained networks like Internet-of-Things (IoT), sensor nodes or ad-hoc groups of soldiers on a battlefield. Data encryption is essential for ensuring the confidentiality and integrity of the wireless network communication. We focus on the problem of group key distribution in dynamically formed groups of network nodes. One major challenge is that the neighborhood of a node is not known prior to deployment and therefore, the group key establishment protocol needs to be independent of the physical network topology. In this paper, we describe an efficient template based approach for group key establishment using only shared symmetric secrets. Our template is a logical shared secret distribution built on the network nodes prior to deployment, which ensures that any node shares a distinct set of secrets with any dynamic group of nodes and thus, is able to establish a secure group key. We illustrate our template using two secret distribution protocols: sub-set and dual one-way hash chain distributions. Compared to existing algorithms, our template approach gives flexibility to the network administrator to choose from different secret distribution protocols for fine-grained control over the security levels and performance.

关键词： Ad hoc networks Protocols Resistance Cryptography Wireless communication computer science

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ACESS: Adaptive channel estimation and selection scheme for coexistence mitigation in WBANs 10

ACESS: Adaptive channel estimation and selection scheme for ...

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10th International Conference on Ubiquitous Information Management and Communication, IMCOM 2016

作者： Kim, BeomSeok Cho, Jinsung Kim, Dae-Young Lee, Ben Dept. of Computer Engineering KyungHee University Yongin446-701 Korea Republic of Dept. of Software Engineering Changshin University Changwon51352 Korea Republic of School of Electrical Engineering and Computer Science Oregon State University CorvallisOR97331 United States

ISBN: (纸本)9781450341424

A Wireless Body Area Networks (WBAN) is a communication network that provides both medical and consumer electronics (CE) services by using sensor devices in, on, or around a human body. To provide reliable communication with low power consumption for in-body communication, the IEEE 802.15.6 provides Medical Implant Communication Service (MICS) band and defines its communication policy. However, MICS band communication suffer from the coexistence problem, which causes significant performance degradation due to high-density deployment and networklevel mobility of WBANs. In addition, existing coexistence mitigation schemes in IEEE 802.15.6 do not consider the MICS band. To overcome the coexistence problem, numerous studies have been conducted for multi-channel usage in WBANs, but they just include simple channel selection schemes which do not provide reliable channel selection. This paper proposes an Adaptive Channel Estimation and Selection Scheme (ACESS) for coexistence mitigation in WBANs. The proposed method maintains a history table and predicts the conditions of available channels based on two-state Markov chain with an exponentially controlled channel history, which can control the sensitivity of prediction. Our simulation study show that the proposed scheme can improve communication performance in terms of Packet Reception Ratio (PRR) under coexistence environments with multiple WBANs. © 2016 ACM.

关键词： Wireless local area networks (WLAN)

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Relaxation methods for co-simulation of finite element and circuit solvers 17

Relaxation methods for co-simulation of finite element and c...

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17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016

作者： De Dieu Nshimiyimana, Jean Dular, Patrick Gyselinck, Johan Geuzaine, Christophe Dept. of Electrical Engineering and Computer Science University of Liege ULG Belgium Ecole Polytechnique de Bruxelles Université Libre de Bruxelles ULB Belgium

ISBN: (纸本)9781509010325

This paper focuses on a comparison of relaxation methods for the co-simulation schemes for coupled problems with application to coupled electromagnetic field and power-electronic simulations. A co-simulation framework between a finite element (FE) and circuit (CIR) solvers is done using the multilevel-Newton waveform relaxation (WR) schemes whose convergence depends of the kind of transmission coupling conditions (TCCs) on the interface between the sub-problems. The convergence of TCCs is studied on a boost and an LLC resonant converters. © 2016 IEEE.

关键词： Finite element method

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Co-simulation of of finite element and circuit solvers using optimized waveform relaxation

Co-simulation of of finite element and circuit solvers using...

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2016 IEEE International Energy Conference, ENERGYCON 2016

作者： De Dieu Nshimiyimana, Jean Plumier, Frederic Dular, Patrick Geuzaine, Christophe Gyselinck, Johan Dept. of Electrical Engineering and Computer Science University of Liege ULG Belgium Ecole Polytechnique de Bruxelles Université Libre de Bruxelles ULB Belgium

ISBN: (纸本)9781467384636

This paper focuses on a comparison of the co-simulation schemes for coupled problems with application to coupled electromagnetic field and power-electronic simulations. A co-simulation framework between a finite element solver and a circuit solver based on the waveform relaxation scheme results in an iterative process whose convergence depends on the kind of transmission coupling conditions (TCC) on the interface between the sub-problems. The convergence of TCC is illustrated on two test cases: A boost converter and a switched reluctance motor drive. © 2016 IEEE.

关键词： Finite element method

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Virtual Control Labs Experimentation: The Water Tank System

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IFAC-PapersOnLine 2016年第6期49卷 87-92页

作者： Galan, Daniel Heradio, Ruben Torre, Luis de la Dormido, Sebastian Esquembre, Francisco Dept. of Computer Science and Automatic Control Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Software Engineering and Computer Systems Universidad Nacional de Educación a Distancia Juan del Rosal 16 MadridE-28040 Spain Dept. of Mathematics Universidad de Murcia Campus de Espinardo MurciaE-30071 Spain

This paper describes a new way to perform automated experiments using virtual laboratories. Experiments are developed and executed using a new software tool: the Experiment Editor. This tool uses virtual laboratories applications designed with educational purposes. The main features/advantages of the Experiment Editor are: 1) the possibility of modifying the initial functionality of the laboratories (i.e. adding new controllers to the plant), 2) analyzing the obtained results during the experiment and performing complex or repetitive tasks in a simple way, 3) and any others explained in the paper. To illustrate the utility of the Experiment Editor a very well-known system is used: the water tank system. © 2016

关键词： Distance education computer aided software engineering computer software Experiments Laboratories Water tanks Easy java(script) Simulations Experimentation Language Repetitive task Simulations Tank system Tool use Virtual control Virtual laboratories

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Enhancing security for two-party comparison over encrypted data 3

Enhancing security for two-party comparison over encrypted d...

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2016 3rd International Conference on Systems and Informatics, ICSAI 2016

作者： Yang, Ching-Nung Yeh, Zong-Xuan Hsu, Shen-Chieh Fu, Zhangjie Dept. of Computer Science and Information Engineering National Dong Hwa University Hualien Taiwan School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9781509055210

The so-called Yao's millionaire problem (YMP) is about securely comparing two numbers held by two parties, respectively. After comparison, the actual values of these two numbers are still unknown to both parties. Recently, Kaghazgaran and Sadeghyan propose a variant of YMP, the twoparty multiple comparison (TPMC) protocol, that determines the greatest one over multiple (more than two) encrypted data between two parties. However, in Kaghazgaran and Sadeghyan's TPMC (KS-TPMC) protocol, one of two parties may guess the original data with a probability. In this paper, we introduce a new TPMC protocol to enhance the security by reducing this guess probability, and meanwhile has the same computation cost compared with KS-TPMC protocol. Additionally, the proposed TPMC protocol is more effective on reducing the attack probability for the large number of encrypted data. Thus, our TPMC protocol is suitable for applications on multiple comparison over encrypted data. © 2016 IEEE.

关键词： Probability

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A methodology towards the adaptization of legacy systems using Agent-Oriented software engineering 16

A methodology towards the adaptization of legacy systems usi...

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31st Annual ACM Symposium on Applied Computing, SAC 2016

作者： Wavresky, Francois Lee, Seok-Won Dept. of Computer Engineering Ajou University Suwon City443 749 Korea Republic of Dept. of Software Convergence Technology Ajou University Suwon City443-749 Korea Republic of

ISBN: (纸本)9781450337397

In this paper, we explore how legacy software logic can be reused in a new context-of-use. In effect, oftentimes existing software is required to evolve or to be integrated into a new complex environment. Technological improvements, new usages, regulations or financial constraints are such reasons for evolution. Parts of the legacy functions are still useful and it is certainly challenging to integrate such code, as legacy systems were designed and implemented for a specific purpose in the past. Nevertheless, they are an expensive investment and transforming them to allow modification and integration with other actors would not only save high investment, but also enable future modifications. We consider that an adequate technique to drive the integration of legacy systems into self-adaptive systems is to transform first the legacy code into a multi-agent system (MAS), from which adaptation within the system and communication with external actors is easier to attain. We refer to this process as "adaptization". We use as an adaptation proxy conceptually intelligent agents conforming to the Belief, Desire, Intention (BDI) model, one of the tools of Agent-Oriented software engineering (AOSE). This proxy permits to understand the legacy system in terms of goals to achieve and to address adaptiveness as a goal selection problem at run-time (based on context), thus abstracting away the current implementation to a high level goalachievement mechanism. We propose KOALA, a novel stepwise methodology towards adaptization. © 2016 ACM.

关键词： Legacy systems

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A mapping between a BP model and an e-government portals' maturity model 2

A mapping between a BP model and an e-government portals' ma...

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2nd International Conference on Electrical and Information Technologies, ICEIT 2016

作者： Fath-Allah, Abdoullah Cheikhi, Laila Al-Qutaish, Rafa E. Idri, Ali Dept. of Computer Science ENSIAS University Mohammed v Rabat Morocco Dept. of Software Engineering IT École de Technologie Supérieure University of Québec Montréal Canada

ISBN: (纸本)9781467384698

E-government portals are playing an important role in facilitating the citizens' life. The e-government services can be executed by citizens without any time or location constraints, which results in great benefits for the citizens. Therefore, agencies should pay a special attention when designing, developing and maintaining those e-government portals. In order to achieve this, agencies need to follow worldwide e-government portals' best practices that would contribute in the portals' quality. E-government maturity models can be used for this purpose. The purpose of this paper is to propose an e-government portals' maturity model that is based on a best practice model for e-government portals. © 2016 IEEE.

关键词： Government data processing

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Jointly learning non-negative projection and dictionary with discriminative graph constraints for classification 27

Jointly learning non-negative projection and dictionary with...

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27th British Machine Vision Conference, BMVC 2016

作者： Liu, Weiyang Yu, Zhiding Wen, Yandong Lin, Rongmei Yang, Meng College of Computer Science and Software Engineering Shenzhen University China School of ECE Peking University China Dept. of ECE Carnegie Mellon University United States Dept. of Math and Computer Science Emory University United States

Sparse coding with dictionary learning (DL) has shown excellent classification performance. Despite the considerable number of existing works, how to obtain features on top of which dictionaries can be better learned remains an open and interesting question. Many current prevailing DL methods directly adopt well-performing crafted features. While such strategy may empirically work well, it ignores certain intrinsic relationship between dictionaries and features. We propose a framework where features and dictionaries are jointly learned and optimized. The framework, named "joint non-negative projection and dictionary learning" (JNPDL), enables interaction between the input features and the dictionaries. The non-negative projection leads to discriminative parts-based object features while DL seeks a more suitable representation. Discriminative graph constraints are further imposed to simultaneously maximize intra-class compactness and inter-class separability. Experiments on both image and image set classification show the excellent performance of JNPDL by outperforming several state-of-the-art approaches. © 2016. The copyright of this document resides with its authors.

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Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data 37

Application of pattern spectra and convolutional neural netw...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Aschersleben, J. Peletier, R.F. Vecchi, M. Wilkinson, M.H.F. Abdalla, H. Abe, H. Abe, S. Abusleme, A. Acero, F. Acharyya, A. Acín Portella, V. Ackley, K. Adam, R. Adams, C. Adhikari, S.S. Aguado-Ruesga, I. Agudo, I. Aguilera, R. Aguirre-Santaella, A. Aharonian, F. Alberdi, A. Alfaro, R. Alfaro, J. Alispach, C. Aloisio, R. Alves Batista, R. Amans, J.-P. Amati, L. Amato, E. Ambrogi, L. Ambrosi, G. Ambrosio, M. Ammendola, R. Anderson, J. Anduze, M. Angüner, E.O. Antonelli, L.A. Antonuccio, V. Antoranz, P. Anutarawiramkul, R. Aragunde Gutierrez, J. Aramo, C. Araudo, A. Araya, M. Arbet-Engels, A. Arcaro, C. Arendt, V. Armand, C. Armstrong, T. Arqueros, F. Arrabito, L. Arsioli, B. Artero, M. Asano, K. Ascasíbar, Y. Ashley, M. Attinà, P. Aubert, P. Singh, C.B. Baack, D. Babic, A. Backes, M. Baena, V. Bajtlik, S. Baktash, A. Balazs, C. Balbo, M. Ballester, O. Ballet, J. Balmaverde, B. Bamba, A. Bandiera, R. Baquero Larriva, A. Barai, P. Barbier, C. Barbosa Martins, V. Barcelo, M. Barkov, M. Barnard, M. Baroncelli, L. Barres de Almeida, U. Barrio, J.A. Bastieri, D. Batista, P.I. Batkovic, I. Bauer, C. Bautista-González, R. Baxter, J. Becciani, U. Becerra González, J. Becherini, Y. Beck, G. Becker Tjus, J. Bednarek, W. Belfiore, A. Bellizzi, L. Belmont, R. Benbow, W. Berge, D. Bernardini, E. Bernardos, M.I. Bernlöhr, K. Berti, A. Berton, M. Bertucci, B. Beshley, V. Bhatt, N. Bhattacharyya, S. Bhattacharyya, W. Bhattacharyya, S. Bi, B. Bicknell, G. Biederbeck, N. Bigongiari, C. Biland, A. Bird, R. Bissaldi, E. Biteau, J. Bitossi, M. Blanch, O. Blank, M. Blazek, J. Bobin, J. Boccato, C. Bocchino, F. Boehm, C. Bohacova, M. Boisson, C. Boix, J. Bolle, J.-P. Bolmont, J. Bonanno, G. Bonavolontà, C. Bonneau Arbeletche, L. Bonnoli, G. Bordas, P. Borkowski, J. Bórquez, S. Bose, R. Bose, D. Bosnjak, Z. Bottacini, E. Böttcher, M. Botticella, M.T. Boutonnet, C. Bouyjou, F. Bozhilov, V. Bozzo, E. Brahimi, L. Braiding, C. Brau-Nogué, S. Kapteyn Astronomical Institute University of Groningen PO Box 800 Groningen9700 AV Netherlands Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen PO Box 407 GroningenNL-9700 AK Netherlands Centre for Space Research North-West University Potchefstroom2520 South Africa Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-ha Chiba Kashiwa277-8582 Japan Pontificia Universidad Católica de Chile Av. Libertador Bernardo O'Higgins 340 Santiago Chile AIM CEA CNRS Université Paris-Saclay Université Paris Diderot Sorbonne Paris Cité CEA Paris-Saclay IRFU DAp Bat 709 Orme des Merisiers Gif-sur-Yvette91191 France Centre for Advanced Instrumentation Dept. of Physics Durham University South Road DurhamDH1 3LE United Kingdom Port d'Informació Científica Edifici D Carrer de l'Albareda Bellaterrra Cerdanyola del Vallès08193 Spain School of Physics and Astronomy Monash University MelbourneVIC3800 Australia Laboratoire Leprince-Ringuet École Polytechnique UMR 7638 CNRS/IN2P3 Institut Polytechnique de Paris Palaiseau91128 France Department of Physics Columbia University 538 West 120th Street New YorkNY10027 United States University of Oslo Department of Physics Sem Saelandsvei 24 - PO Box 1048 Blindern OsloN-0316 Norway EMFTEL Department IPARCOS Universidad Complutense de Madrid Madrid28040 Spain Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain Campus UAB Carrer de Can Magrans s/n Cerdanyola del Vallés08193 Spain Instituto de Física Teórica UAM/CSIC Departamento de Física Teórica Universidad Autónoma de Madrid c/Nicolás Cabrera 13-15 Campus de Cantoblanco UAM Madrid28049 Spain Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Universidad Nacional Autónoma de México Delegación Coyoacán Ciudad de México04510 Mexico University of Geneva Département de Physique Nucléaire et Corpusculaire 24 rue d

The Cherenkov Telescope Array (CTA) will be the next generation gamma-ray observatory and will be the major global instrument for very-high-energy astronomy over the next decade, offering 5 − 10 × better flux sensitivity than current generation gamma-ray telescopes. Each telescope will provide a snapshot of gamma-ray induced particle showers by capturing the induced Cherenkov emission at ground level. The simulation of such events provides images that can be used as training data for convolutional neural networks (CNNs) to determine the energy of the initial gamma rays. Compared to other state-of-the-art algorithms, analyses based on CNNs promise to further enhance the performance to be achieved by CTA. Pattern spectra are commonly used tools for image classification and provide the distributions of the shapes and sizes of various objects comprising an image. The use of relatively shallow CNNs on pattern spectra would automatically select relevant combinations of features within an image, taking advantage of the 2D nature of pattern spectra. In this work, we generate pattern spectra from simulated gamma-ray events instead of using the raw images themselves in order to train our CNN for energy reconstruction. This is different from other relevant learning and feature selection methods that have been tried in the past. Thereby, we aim to obtain a significantly faster and less computationally intensive algorithm, with minimal loss of performance. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词： Gamma rays

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