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ACM/IEEE Symposium Architecture for Networking and Communications Systems, ANCS

作者： Jianzong Wang Lianglun Cheng Faculty of Computer Guangdong University of Technology Guangzhou P.R. China Department of Electronic and Computer Engineering University of Florida Gainesville Florida Faculty of Automation Guangdong University of Technology Guangzhou P.R. China

ISBN: (纸本)9781467366328

The inadequate resource allocation, lack of I/O performance prediction and insufficient isolation are affecting the storage performance in the multi-tenant cloud storage environment. In order to guarantee the Quality of Service (QoS), Softwaredefined Storage (SDS) is an effective approach in data centers. However, the lack of intelligence, robustness and selfadjustment are blocking the applications and promotions of SDS heavily. This paper focuses on the QoS-Aware I/O resource scheduling problem to build data centers with high availability, scalability and QoS. We will study workload characteristics, requirement analysis, the theory of QoS in SDS and I/O scheduling strategies. We obtain such goals by proposing a mathematics model of workload burstness, QoS semantic description with rule execution mechanisms and dynamic robust I/O scheduling algorithms for multi-type resources allocation. In the current progress, A QoS-Aware I/O Scheduling Framework towards SDS, qSDS has been proposed for the SSD/HDD hybrid storage. The preliminary evaluation in some benchmarks shows that qSDS can gain better performance compared with other strategies.

关键词： Quality of service Resource management Software Benchmark testing Robustness Throughput computers

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Cost effective solar-biogas hybrid power generation system

Cost effective solar-biogas hybrid power generation system

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IEEE International Conference on Industrial technology (ICIT)

作者： Joan D'Rozario Sabrina Shams Shahinur Rahman Ahmed Sharif Enamul Basher Department of Electrical & Computer Engineering Indiana University-Purdue University Indianapolis Indianapolis IN USA Telecom Engineer Robi Axiata Limited Dhaka Bangladesh Department of Electrical and Electronic Engineering Bangladesh University of Engineering & Technology Dhaka Bangladesh Faculty of Electrical and Electronic Engineering Daffodil International University Dhaka Bangladesh Faculty of Electrical and Electronic Engineering Bangladesh University of Engineering & Technology Dhaka Bangladesh

ISBN: (纸本)9781479978014

Energy challenges of today include increasing energy dependency, growing energy consumption, ensuring security of energy supply, reaching for sustainable development and tackling environmental concerns, most importantly climate change. Bangladesh is one of the low energy consuming countries of the world. Still the national grid can so far cover 49% of the total population. Renewable energy sources offer considerable opportunities to respond to growing energy crisis and have multiple advantages over conventional energy sources. In Bangladesh most of the electricity generation is by non-renewable energy sources like furnace oil, natural gas etc. But the reserves for these non-renewable sources are limited and will be exhausted soon. Therefore, searching alternative sources is the only option to solve the problem of electricity shortage. In order to meet sustained load demands during varying natural conditions, different renewable energy sources need to be integrated with each other like solar, wind, ocean, geothermal, biomass, wave energy, fuel cell technologies and hydro. Biogas technology combined with solar technology can have a huge positive impact on the present power sector of Bangladesh. This paper will discuss on design of a cost effective biogas-solar hybrid power generation system and also feasibility analysis of that system considering different types of sensitivity and environmental aspects.

关键词： Hybrid power systems Renewable energy sources Arrays Power generation Generators Economic indicators Batteries

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The status of KAGRA underground cryogenic gravitational wave telescope

arXiv

引用

arXiv 2017年

作者： Akutsu, T. Ando, M. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Barton, M.A. Cannon, K. Craig, K. Creus, W. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Furuhata, T. Haino, S. Hasegawa, K. Hashino, K. Hayama, K. Hirobayashi, S. Hirose, E. Hsieh, B.H. Inoue, Y. Ioka, K. Itoh, Y. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kambara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawai, N. Kawamura, S. Kim, C. Kim, H. Kim, J. Kim, Y. Kimura, N. Kinugawa, T. Kirii, S. Kitaoka, Y. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kumar, R. Lee, H. Lee, H. Liu, Y. Luca, N. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Miyakawa, O. Miyamoto, T. Miyamoto, A. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Musha, M. Nagano, S. Nagano, K. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Narikawa, T. Nguyen Quynh, L. Ni, W.-T. Ochi, T. Oh, J. Oh, S. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Oohara, K. Peña Alleano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, Y. Sakai, K. Sakai, Y. Sasaki, Y. Sasaki, M. Sato, S. Sato, T. Sekiguchi, Y. Seto, N. Shibata, M. Shimoda, T. Shinkai, H. Shoda, A. Somiya, K. Son, E. Suemasa, A. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. Tomaru, T. Tomura, T. Travasso, F. Tsubono, K. Tsuchida, S. Uchikata, N. Uchiyama, T. Uehara, T. Ueki, S. Ueno, K. Ushiba, T. van Putten, M.H.P.M. Vocca, H. Wada, S. Wakamatsu, T. Yamada, T. Yamamoto, S. Yamamoto, T. Yamamoto, K. Yamamoto, A. Yokoyama, J. Yokozawa, T. Yoon, T.H. Yuzurihara, H. Zeidler, S. Zhu, Z.-H. National Astronomical Observatory of Japan Mitaka Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo Tokyo113-0033 Japan Earthquake Research Institute University of Tokyo Bunkyo Tokyo113-0032 Japan Department of Advanced Physics Hirosaki University Hirosaki Aomori036-8561 Japan National Astronomical Observatory of Japan Hida Gifu506-1205 Japan Department of Physics Tokyo Institute of Technology Meguro Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Hida Gifu506-1205 Japan Research Center for the Early Universe University of Tokyo Bunkyo Tokyo113-0033 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba277-8582 Japan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama Toyama930-8555 Japan Faculty of Engineering University of Toyama Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Sakyo Kyoto606-8502 Japan Department of Physics Osaka City University Sumiyosi Osaka558-8585 Japan Department of Physics Osaka University Toyonaka Osaka560-0043 Japan Korea Institute of Science and Technology Information Yuseong Daejeon34141 Korea Republic of Daejeon Yuseong34055 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Computer Simulation Inje University Gimhae Gyeongsangnam50834 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of High Energy Accelerator Research Organization Tsukuba Ibaraki305-0801 Japan Department of Physical Science Hiroshima University Higashihiroshima Hiroshima903-0213 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka814-0180 Japan Department of Advanced Materials Science University of Tokyo Kashiwa Chiba277-8582 Japan Istituto Nazionale di Fisica Nucleare Sapienza University Roma00185 Italy D

KAGRA is a 3-km interferometric gravitational wave telescope located in the Kamioka mine in Japan. It is the first km-class gravitational wave telescope constructed underground to reduce seismic noise, and the first km-class telescope to use cryogenic cooling of test masses to reduce thermal noise. The construction of the infrastructure to house the interferometer in the tunnel, and the initial phase operation of the interferometer with a simple 3-km Michelson configuration have been completed. The first cryogenic operation is expected in 2018, and the observing runs with a full interferometer are expected in 2020s. The basic interferometer configuration and the current status of KAGRA are described. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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Sustainable computational science: The ReScience initiative

arXiv

引用

arXiv 2017年

作者： Rougier, Nicolas P. Hinsen, Konrad Alexandre, Frédéric Arildsen, Thomas Barba, Lorena Benureau, Fabien C.Y. Titus Brown, C. de Buyl, Pierre Caglayan, Ozan Davison, Andrew P. Delsuc, Marc André Detorakis, Georgios Diem, Alexandra K. Drix, Damien Enel, Pierre Girard, Benoît Guest, Olivia Hall, Matt G. Henriques, Rafael Neto Hinaut, Xavier Jaron, Kamil S. Khamassi, Mehdi Klein, Almar Manninen, Tiina Marchesi, Pietro McGlinn, Dan Metzner, Christoph Petchey, Owen L. Plesser, Hans Ekkehard Poisot, Timothée Ram, Karthik Ram, Yoav Roesch, Etienne Rossant, Cyrille Rostami, Vahid Shifman, Aaron Stimberg, Marcel Stachelek, Joseph Stollmeier, Frank Vaggi, Federico Viejo, Guillaume Vitay, Julien Vostinar, Anya Yurchak, Roman Zito, Tiziano INRIA Bordeaux Sud-Ouest Talence France Institut des Maladies Neurodégénératives Université de Bordeaux CNRS UMR 5293 Bordeaux France LaBRI Université de Bordeaux Bordeaux INP CNRS UMR 5800 Talence France Centre de Biophysique Moléculaire CNRS UPR4301 Orléans France Synchrotron SOLEIL Division Expériences Gif sur Yvette France Department of Electronic Systems Technical Faculty of IT and Design Aalborg University Denmark Department of Mechanical and Aerospace Engineering George Washington University WashingtonDC United States Department of Population Health and Reproduction University of California Davis DavisCA United States Instituut voor Theoretische Fysica KU Leuven Belgium Le Mans France Unité de Neurosciences Information et Complexité CNRS FRE 3693 Gif sur Yvette France Institut de Génétique et de Biologie Moléculaire et Cellulaire INSERM U964 CNRS UMR 7104 Université de Strasbourg Illkirch France Department of Cognitive Sciences University of California Irvine United States Computational Engineering and Design Faculty of Engineering and the Environment University of Southampton United Kingdom Department of Computer Science Humboldt-Universität zu Berlin Friedman Brain Institute Icahn School of Medicine Mount SinaiNY United States Institut des Systèmes Intelligent et de Robotique Sorbonne Universités UPMC Univ Paris 06 CNRS Paris France Experimental Psychology University College London United Kingdom UCL Great Ormond St Institute of Child Health University College London London United Kingdom MRC Cognition and Brain Sciences Unit Cambridge United Kingdom Department of Ecology and Evolution University of Lausanne Lausanne Switzerland Independent scholar Enschede Netherlands BioMediTech Institute and Faculty of Biomedical Sciences and Engineering Tampere University of Technology Tampere Finland Swammerdam Institute for Life Sciences Center for Neuroscience Faculty of Science University of Amsterdam Amsterdam Netherlands Depart

computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research is reproducible. But this is not exactly true. Jonathan Buckheit and David Donoho proposed more than two decades ago that an article about computational results is advertising, not scholarship. The actual scholarship is the full software environment, code, and data that produced the result. This implies new workflows, in particular in peer-reviews. Existing journals have been slow to adapt: source codes are rarely requested, hardly ever actually executed to check that they produce the results advertised in the article. ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research can be replicated from its description. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience resides on GitHub where each new implementation of a computational study is made available together with comments, explanations, and software tests. Copyright © 2017, The Authors. All rights reserved.

关键词： Open source software

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A Review on ZigBee Security Enhancement in Smart Home Environment

A Review on ZigBee Security Enhancement in Smart Home Enviro...

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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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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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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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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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