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International Conference on Information Science and Security (ICISS)

作者： Md. Azmi Bin Karnain Zahriladha Bin Zakaria Engineering Design Lab. Communication Technology TM Research & Development Cyberjaya Selangor Malaysia Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka Melaka Malaysia

M2M is an approach where devices such as sensors and actuators connected with each other or with a computer system for data analysis for producing immediate action. This approach is gaining popularity among consumers and service providers to improve the lives of people. Among the most popular M2M vertical applications today is the Smart Home application. This application was built by several key components which include private local communications network. Wireless Sensor Network or WSN for short is an example of private communication network that is widely discussed these days due to its characteristics of low power, low cost and scalable. In this paper, we focus on ZigBee, a WSN that has received increasing attention from the industry. Low computing power of the ZigBee's sensor node is causing low endurance against network security attacks, thus providing solutions to all types of network security attacks which are likely to cause significant overhead. Hence, it is vital to properly rank security attacks by evaluating their severity and selecting appropriate countermeasures. In this paper, we provide a review on ZigBee networks technology and security requirements which are already embedded within the protocol. We additionally provide the essential data on the different threats and attacks in ZigBee networks technology. Finally, we investigate the three approaches used by different researchers to enhance the resilience of ZigBee networks in handling network attacks. It is believed that the information presented in this paper would benefit other researchers in enhancing the security level of ZigBee networks especially in supporting Smart Home application.

关键词： Zigbee Security Wireless sensor networks Smart homes Communication networks Sensors Protocols

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Construction of KAGRA: An underground gravitational wave observatory

arXiv

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arXiv 2017年

作者： Akutsu, T. Ando, M. Araki, S. Araya, A. Arima, T. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Baiotti, L. Barton, M.A. Chen, D. Cho, K. Craig, K. DeSalvo, R. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujibayashi, S. Fujii, Y. Fujimoto, M.-K. Fukushima, M. Furuhata, T. Hagiwara, A. Haino, S. Harita, S. Hasegawa, K. Hasegawa, M. Hashino, K. Hayama, K. Hirata, N. Hirose, E. Ikenoue, B. Inoue, Y. Ioka, K. Ishizaki, H. Itoh, Y. Jia, D. Kagawa, T. Kaji, T. Kajita, T. Kakizaki, M. Kakuhata, H. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kasuya, J. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawamura, S. Kawazoe, F. Kim, C. Kim, J. Kim, J.C. Kim, W. Kimura, N. Kitaoka, Y. Kobayashi, K. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kubo, K. Kumar, R. Kume, T. Kuroda, K. Kuwahara, Y. Lee, H.-K. Lee, H.-W. Lin, C.-Y. Liu, Y. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsumoto, N. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyake, K. Miyamoto, A. Miyamoto, T. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Muraki, Y. Murakoshi, M. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakano, M. Nakao, H. Nakao, K. Narikawa, T. Ni, W.-T. Nonomura, T. Obuchi, Y. Oh, J.J. Oh, S.-H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohmae, N. Okino, K. Okutomi, K. Ono, K. Ono, Y. Oohara, K. Ota, S. Park, J. Peña Arellano, F.E. Pinto, I.M. Principe, M. Sago, N. Saijo, M. Saito, T. Saito, Y. Saitou, S. Sakai, K. Sakakibara, Y. Sasaki, Y. Sato, S. Sato, T. Sato, Y. Sekiguchi, T. Sekiguchi, Y. Shibata, M. Shiga, K. Shikano, Y. Shimoda, T. Shinkai, H. Shoda, A. Someya, N. Somiya, K. Son, E.J. Starecki, T. Suemasa, A. Sugimoto, Y. Susa, Y. Suwabe, H. Suzuki, T. Tachibana, Y. Tagoshi, H. Takada, S. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. National Astronomical Observatory of Japan Tokyo181-8588 Japan Graduate School of Science University of Tokyo Tokyo113-0033 Japan Department of Physics Graduate School of Science University of Tokyo Tokyo113-0033 Japan Ibaraki305-0801 Japan Earthquake Research Institute University of Tokyo Tokyo113-0032 Japan Department of Physics Graduate School of Science Osaka City University Osaka558-8585 Japan Graduate School of Science and Technology Hirosaki University Aomori036-8561 Japan Department of Physics Graduate School of Science and Engineering Tokyo Institute of Technology Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Chiba277-8582 Japan Institute for Cosmic Ray Research University of Tokyo Gifu506-1205 Japan Graduate School of Science Osaka University Osaka560-0043 Japan Department of Physics Sogang University Seoul121-742 Korea Republic of University of Sannio at Benevento BeneventoI-82100 Italy Sezione di Napoli NapoliI-80126 Italy University of Toyama Toyama930-8555 Japan Department of Physics Graduate School of Science Kyoto University Kyoto606-8502 Japan Institute of Physics Academia Sinica Taipei11529 Taiwan University of Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Kyoto606-8502 Japan Albert-Einstein-Institut Max-Planck-Institut für Gravitationsphysik HannoverD-30167 Germany Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of Daejeon34055 Korea Republic of Department of Physics Myongji University Yongin449-728 Korea Republic of Department of Computer Simulation Inje University Gimhae-shi50834 Korea Republic of Daejeon34047 Korea Republic of Department of Physical Science Graduate School of Science Hiroshima University Hiroshima903-0213 Japan Department of Applied Physics Graduate School of Science Fukuoka University Fukuoka814-0180 Japan Graduate School of Science and Engineer

Major construction and initial-phase operation of a second-generation gravitational-wave detector KAGRA has been completed. The entire 3-km detector is installed underground in a mine in order to be isolated from background seismic vibrations on the surface. This allows us to achieve a good sensitivity at low frequencies and high stability of the detector. Bare-bones equipment for the interferometer operation has been installed and the first test run was accomplished in March and April of 2016 with a rather simple configuration. The initial configuration of KAGRA is named iKAGRA. In this paper, we summarize the construction of KAGRA, including the study of the advantages and challenges of building an underground detector and the operation of the iKAGRA interferometer together with the geophysics interferometer that has been constructed in the same tunnel. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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Probability fuzzy SVM for image retrieval

Probability fuzzy SVM for image retrieval

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Deshan Liu Deqin Yan Yonghua Tang Shenglan Liu School of Computer and Information Technology Liaoning Normal University Dalian China School of Computer Science and Technology Luxun Academy of Fine Arts Dalian China Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781467376839

In the scheme of relevance feedback (RF) of conventional content-based image retrieval (CBIR) systems, only the labeled samples will be trained for learning, which gives rise to the small sample size (sss) problem. To solve the problem, a variety of RF schemes have been developed with exploiting support vector machine (SVM) which concentrates on enhancing classification ability of the schemes. In fact, there is not only classification distribution but also probability distribution in both numeric value data and image data. In fact, probability distribution existing in the images with multi-semantic meaning is more crucial for building a better scheme of RF. For modeling the scheme of RF under the consideration of both classification distribution and probability distribution, a framework of probability fuzzy support vector machine (PFSVM) is developed in this paper. In the framework, every pseudo-label sample is assigned both a fuzzy and a probability membership which are integrated into mechanism of PFSVM for active learning. Experimental results with a database of 1,000 images demonstrate the effectiveness of the proposed method.

关键词： Support vector machines Probability distribution Radio frequency Image retrieval Training Linear programming Labeling

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Progressive Pixel-to-Pixel Evaluation to Obtain the Hard and Smooth Region for Image Compression

Progressive Pixel-to-Pixel Evaluation to Obtain the Hard and...

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International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

作者： N.S.A.M Taujuddin Rosziati Ibrahim Suhaila Sari Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Johor Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Malaysia

In this paper, we propose a new image compression scheme that is based on the wavelet transform. The image is first divided into 64 × 64 pixels block. The progressive pixel-to-pixel evaluation is done to find the individual pixel intensity in each block. Then the different value between the maximum pixel intensity value and the minimum pixel intensity value is calculated. This value will lead to a special representation of each where the block with high difference value is set as the hard region block while the block with low difference value is set as the smooth region block. This region will be decomposed individually using Discrete Wavelet Transform (DWT) and thresholded using different threshold method based on the block characteristic. The proposed method shows compression did well on image with a large smooth area.

关键词： Image coding Image edge detection Discrete wavelet transforms Wavelet coefficients Biomedical imaging

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Cooperative control in production and logistics

Cooperative control in production and logistics

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作者： Monostori, László Valckenaers, Paul Dolgui, Alexandre Panetto, Hervé Brdys, Mietek Csáji, Balázs Csanád Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary Faculty of Mechanical Engineering Budapest University of Technology and Economics Hungary Department of Health Care and Technology KHLeuven Belgium LIMOS UMR 6158 CNRS Ecole Nationale Supérieure des Mines de Saint-Etienne France CNRS CRAN UMR 7039 France Université de Lorraine CRAN UMR 7039 France School of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom Department of Control Systems Engineering Gdansk University of Technology Gdansk Poland

Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities. The paper overviews various distributed approaches and technologies of control engineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modeling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive Control (RFMPC). Two case studies are also discussed: (i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS);and (ii) an application of distributed RFMPC to a drinking water distribution system. © 2015 Elsevier Ltd.

关键词： Model predictive control

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Support-Set-Assured Parallel Outsourcing of Sparse Reconstruction Service for Compressive Sensing in Multi-Clouds

Support-Set-Assured Parallel Outsourcing of Sparse Reconstru...

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International Symposium on Security and Privacy in Social Networks and Big Data

作者： Yushu Zhang Jiantao Zhou Leo Yu Zhang Fei Chen Xinyu Lei School of Electronics and Information Engineering Southwest University Department of Computer and Information Science Faculty of Science and Technology University of Macau Department of Electronic Engineering City University of Hong Kong Department of Computer Science and Engineering Shenzhen University College of Computer Science Chongqing University

ISBN: (纸本)9781467384216

By leveraging the concept of signal sparsity, the new signal acquisition paradigm Compressive Sensing (CS) has successfully shifted the system complexity of the encoder to the decoder. If consideration must be given to solving the heavy decoding work while guaranteeing the privacy of the signal, one of the best choices is to outsource the sparse reconstruction service to a cloud with abundant computing resources. We propose to outsource sparse reconstruction service to multi-clouds in parallel with an assumption that multi-clouds cannot collude with each other in private. The owner protects the 2D signals' support-set, a set consisting of the indices of the nonzero entries in that signal, using a simple exchange primitives with low complexity and less memory rather than a full random permutation matrix. When carrying out parallel compressive sensing, this exchange primitive is equivalent to random permutation matrix, thus relaxing the RIP for 2D sparse signals with high probability. Then, the compressive measurements and support-set are distributed over multi-clouds for storage and reconstruction service. Each cloud only has a small amount of information of both the measurements and asymmetric support-set;therefore, the privacy of the original signal can be guaranteed.

关键词： Support-set Parallel outsourcing Sparse reconstruction service Compressive sensing

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Adaptive Control for a Class of Systems with Output Deadzone Nonlinearity

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Intelligent Control and Automation 2015年第4期6卷 215-228页

作者： Nizar J. Ahmad Ebraheem K. Sultan Mohammed Q. Qasem Hameed K. Ebraheem Jasem M. Alostad Faculty of Electronic Engineering Technology College of Technological Studies The Public Authority for Applied Education and Training (PAAET) Kuwait City Kuwait Faculty of Computer Science College of Basic Education The Public Authority for Applied Education and Training (PAAET) Kuwait City Kuwait

This paper presents a continuous-time adaptive control scheme for systems with uncertain non-symmetrical deadzone nonlinearity located at the output of a plant. An adaptive inverse function is developed and used in conjunction with a robust adaptive controller to reduce the effect of deadzone nonlinearity. The deadzone inverse function is also implemented in continuous time, and an adaptive update law is designed to estimate the deadzone parameters. The adaptive output deadzone inverse controller is smoothly differentiable and is combined with a robust adaptive nonlinear controller to ensure robustness and boundedness of all the states of the system as well as the output signal. The mismatch between the ideal deadzone inverse function and our proposed implantation is treated as a disturbance that can be upper bounded by a polynomial in the system states. The overall stability of the closed-loop system is proven by using Lyapunov method, and simulations confirm the efficacy of the control methodology.

关键词： Adaptive Inverse Control Output Deadzone Hard Nonlinearity

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Coefficient estimation of the energy functional area term

Coefficient estimation of the energy functional area term

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IEEE NW Russia Young Researchers in Electrical and electronic engineering Conference (EIConRusNW)

作者： Andrey Turkin Alexander Sotnikov Dmitry Fionov Andrey Shipatov Cedric Belloc Department of Computer Science National Research University of Electronic Technology Zelenograd Moscow Russia Faculty of Computing Engineering and Sciences Staffordshire University Stoke-on-Trent UK

Many applications of computer vision, such as variation frameworks, operate using level set methods which require some unknown parameters to be chosen before evolution of the level set function. In general, the parameters should be estimated using provided data, however, in some cases, it can be defined empirically. The present work focuses on estimation of the coefficient in the energy functional that computes a weighted area of the region inside the contour and speeds up its motion toward the object boundaries. The paper discusses a new approach for the coefficient estimation comprised the image features such as mean and variance values of pixel intensities and image gradients. The advantages of the precise estimation of this parameter are following: (1) the convergence of the evaluation process is getting faster if the value of the coefficient in the weighted area term is higher that, therefore, may speed up the curve evolution; (2) the contour may pass through the object boundary in some lower contrast images if the coefficient is too large, thus the calculation of the coefficient may avoid this effect called boundary leakage. The provided result shows that the suggested approach on parameter estimation can increase the speed and quality of the convergence driving the motion of the zero level curve in images with different contrast.

关键词： Image segmentation Estimation Computational modeling Standards

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An effective far-field analysis of an electric Hertzian dipole embedded in multiple periodic structures of lossless multilayer slabs using the equivalent CCITL model

An effective far-field analysis of an electric Hertzian dipo...

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IEEE Conference on Antenna Measurements & Applications (CAMA)

作者： Supakit Kawdungta Danai Torrungrueng Prayoot Akkaraekthalin Faculty of Engineering Rajamangala University of Technology LannaChiang Mai Thailand Department of Electrical and Computer Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Electrical and Electronic Engineering Asian University Chon Buri Thailand

A Hertzian dipole embedded in multiple periodic (MP) structures of lossless multilayer slabs is effectively analyzed using the equivalent conjugately characteristic-impedance transmission-line (CCITL) model. Numerical results show that the equivalent CCITL model provides accurate results, compared to those obtained from the conventional transmission-line model. It is found that the MP structures can provide more stopbands and can be used to improve the directivity as well.

关键词： Periodic structures Metamaterials Nonhomogeneous media Microstrip antennas Substrates Dispersion

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An efficient algorithm of frequent itemsets mining based on MapReduce

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Journal of Information and Computational Science 2014年第8期11卷 2809-2816页

作者： Wang, Le Feng, Lin Zhang, Jing Liao, Pengyu School of Computer Science and Technology Faculty of Electronic Information and Electrical Engineering and School of Innovation and Experiment Dalian University of Technology Dalian 116024 China

Mainstream parallel algorithms for mining frequent itemsets (patterns) were designed by implementing FP-Growth or Apriori algorithms on MapReduce (MR) framework. Existing MR FP-Growth algorithms can not distribute data equally among nodes, and MR Apriori algorithms utilize multiple map/reduce procedures and generate too many key-value pairs with value of 1;these disadvantages hinder their performance. This paper proposes an algorithm FIMMR: it firstly mines local frequent itemsets for each data chunk as candidates, applies prune strategies to the candidates, and then identifies global frequent itemsets from candidates. Experimental results show that the time efficiency of FIMMR outperforms PFP and SPC significantly;and under small minimum support threshold, FIMMR can achieve one order of magnitude improvement than the other two algorithms;meanwhile, the speedup of FIMMR is also satisfactory. Copyright © 2014 Binary Information Press.

关键词： MapReduce

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