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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Zhou, Xin Zhang, Yuqi Bai, Xiuxiu Zhu, Jihua Zhu, Li Qian, Xueming School of Software Engineering Xi’an Jiaotong University Xi’an710049 China The Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an710049 China

ISBN: (纸本)9783319488950

With the high-growing of e-commerce, more and more users have changed to buy from websites rather than in stores. To deal with mass products, the traditional text-based product search has become incompetent to meet use’s requirement. In this paper, we explore deep learning with convolutional neural networks (CNN) to resolve query’s classification, and propose an efficient approach for product image search. For a query image, we first train a CNN model of a large database containing various product images to discriminate the query’s category. Then we search similar products from the established category and utilize these visual results to parse the query with attribute. Finally we use the extracted attribute tags to finish the textual re-ranking and obtain the most relevant retrieved product list. Experimental evaluation shows that our approach significantly outperforms state of art in product image search. © Springer International Publishing AG 2016.

关键词： Query processing

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Scale and topology preserving SIFT feature hashing 1

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Kang, Chen Zhu, Li Qian, Xueming School of Software Engineering Xi’an Jiaotong University Xi’an710049 China The Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an710049 China School of Electronic and Information Engineering Xi’an Jiaotong University Xi’an710049 China

ISBN: (数字)9783319488967

ISBN: (纸本)9783319488950

Abstract. In recent years, content based image retrieval has been concerned because of practical needs on Internet services, especially methods that can improve retrieving speed and precision. Thus, we propose a hashing scheme called Geometry and Topology Preserving Hashing for content based image retrieval. A training process of hashing function involves both of geometric information and topology information is introduced. Compared with state-of-the-art methods, our method gives better precision in experiment on the Oxford Building dataset. © Springer International Publishing AG 2016.

关键词： Geometry

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Exploring Energy Saving for Mixed-Criticality Systems on Multi-Cores

Exploring Energy Saving for Mixed-Criticality Systems on Mul...

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IEEE Symposium on Real-Time and Embedded Technology and Applications

作者： Sujay Narayana Pengcheng Huang Georgia Giannopoulou Lothar Thiele R. Venkatesha Prasad Embedded Software Group TU Delft The Netherlands Computer Engineering and Networks Laboratory ETH Zurich Zurich Switzerland

In this paper we study a general energy minimization problem for mixed-criticality systems on multi-cores, considering different system operation modes, and static & dynamic energy consumption. While making global scheduling decisions, trade-offs in energy consumption between different modes and also between static and dynamic energy consumption are required. Thus, such a problem is challenging. To this end, we first develop an optimal solution analytically for unicore and a corresponding low-complexity heuristic. Leveraging this, we further propose energy-aware mapping techniques and explore energy savings for multi-cores. To the best of our knowledge, we are the first to investigate mixed-criticality energy minimization in such a general setting. The effectiveness of our approaches in energy reduction is demonstrated through both extensive simulations and a realistic industrial application.

关键词： Energy consumption Job shop scheduling Minimization Program processors Power demand Vehicle dynamics Processor scheduling

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Efficient In SAR phase noise reduction via total variation regularization

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Science China(Information Sciences) 2015年第8期58卷 64-76页

作者： LUO XiaoMei WANG XiangFeng SUO ZhiYong LI ZhenFang State Key Laboratory of Integrated Services Networks Xidian University Department of Electronic Information Engineering Nanchang University Shanghai Key Laboratory of Trustworthy Computing Software Engineering InstituteEast China Normal University National Laboratory of Radar Signal Processing Xidian University

We consider the phase noise filtering problem for Interferometric Synthetic Aperture Radar(In SAR)using a total variation regularized complex linear least squares formulation. Although the original formulation is convex, solving it directly with the standard CVX package is time consuming due to the large problem size. In this paper, we introduce the effective and efficient alternating direction method of multipliers(ADMM) to solve the equivalent well-defined complex formulation for the real and imaginary parts of the optimization *** the iteration complexity and the computational complexity of the ADMM are established in the forms of theorems for our In SAR phase noise problem. Simulation results based on simulated and measured data show that this new In SAR phase noise reduction method not only is 3 orders of magnitude faster than the standard CVX solver, but also has a much better performance than the several existing phase filtering methods.

关键词： interferometric synthetic aperture radar phase noise reduction total variation regularization least squares formulation alternat

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Quantifying patterns of research interest evolution

arXiv

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arXiv 2017年

作者： Jia, Tao Wang, Dashun Szymanski, Boleslaw K. College of Computer and Information Science Southwest University Chongqing400715 China Laboratory for Software and Knowledge Engineering Southwest University Chongqing400715 China Kellogg School of Management Northwestern University EvanstonIL60208 United States Northwestern University EvanstonIL60208 United States McCormick School of Enginnering and Applied Sciences Northwestern University EvanstonIL60208 United States Social Cognitive Networks Academic Research Center Rensselaer Polytechnic Institute TroyNY12180 United States Department of Computer Science Rensselaer Polytechnic Institute TroyNY12180 United States Spo leczna Akademia Nauk Lòdz90-113 Poland

Our quantitative understanding of how scientists choose and shift their research focus over time is highly consequential, because it affects the ways in which scientists are trained, science is funded, knowledge is organized and discovered, and excellence is recognized and rewarded [1-9]. Despite extensive investigations of various factors that influence a scientist's choice of research topics [8-21], quantitative assessments of mechanisms that give rise to macroscopic patterns characterizing research interest evolution of individual scientists remain limited. Here we perform a large-scale analy- sis of publication records, finding that research interest change follows a reproducible pattern characterized by an exponential distribution. We identify three fundamen- tal features responsible for the observed exponential distribution, which arise from a subtle interplay between exploitation and exploration in research interest evolution [5, 22]. We develop a random walk based model, allowing us to accurately reproduce the empirical observations. This work presents a quantitative analysis of macroscopic patterns governing research interest change, discovering a high degree of regularity underlying scientific research and individual careers. Copyright © 2017, The Authors. All rights reserved.

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Security modeling and analysis of an intrusion tolerant cloud data center 3

Security modeling and analysis of an intrusion tolerant clou...

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3rd IEEE World Conference on Complex Systems, WCCS 2015

作者： Mir, Iman El Kim, Dong Seong Haqiq, Abdelkrim Computer Networks Mobility and Modeling Laboratory FST Hassan 1 University Settat Morocco Department of Computer Science and Software Engineering University of Canterbury New Zealand E-NGN Research Group Africa and Middle East Morocco

ISBN: (纸本)9781467396691

It is important to protect a Cloud Data Center even if there are attacks by an adversary. In order to improve the security of a Cloud Data Center (CDC) in particular, system availability, a proactive approach named SCIT (Self-Cleansing Intrusion Tolerance) may be adopted to the CDC. In this paper, we present a general analytic model of the SCIT approach for the CDC. We first introduce an architecture and its flow of an intrusion tolerant CDC. We focus on a SCIT approach for a virtual machine (VM) in a CDC. We model and implement the SCIT in SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) and carry out numerical analysis. Our numerical results show that the SCIT approach can increase the system availability. © 2015 IEEE.

关键词： Virtualization

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Security modeling and analysis of a self-cleansing intrusion tolerance technique 11

Security modeling and analysis of a self-cleansing intrusion...

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11th International Conference on Information Assurance and Security, IAS 2015

ISBN: (纸本)9781467387156

Since security is increasingly the principal concern in the conception and implementation of software systems, it is very important that the security mechanisms are designed so as to protect the computer systems against cyber attacks. An Intrusion Tolerance Systems play a crucial role in maintaining the service continuity and enhancing the security compared with the traditional security. In this paper, we propose to combine a preventive maintenance with existing intrusion tolerance system to improve the system security. We use a semi-Markov process to model the system behavior. We quantitatively analyze the system security using the measures such as system availability, Mean Time To Security Failure and cost. The numerical analysis is presented to show the feasibility of the proposed approach. © 2015 IEEE.

关键词： Preventive maintenance

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MASAT: Model-based automated security assessment tool for cloud computing 11

MASAT: Model-based automated security assessment tool for cl...

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11th International Conference on Information Assurance and Security, IAS 2015

作者： Mjihil, Oussama Kim, Dong Seong Haqiq, Abdelkrim Computer Networks Mobility and Modeling Laboratory FST Hassan 1st University Settat Morocco Department of Computer Science and Software Engineering University of Canterbury New Zealand E-NGN Research Group Africa and Middle East South Africa

ISBN: (纸本)9781467387156

Security assessment and mitigation have gained considerable attention over the recent years according to the information technology evolution and its broad adoption. Organizations are more aware of their data security, and they also have become more exigent in terms of extensibility and flexibility of their Information Technology infrastructures. Cloud computing is introduced as an evolution of information technology that offers major solutions and techniques to meet the evolving requirements of both tenants and clients. Therefore, extensibility and dynamic adjustment, which are among the most essential Cloud advantages, can make the security analysis a very hard task. There have been many approaches to analyze automatically the cyber security of traditional IT infrastructures without taking into account the new Cloud features, such as the nested virtualization. Until now, there is a few work to assess the security of Cloud computing. In this paper, we propose a novel approach to design and develop Model-based Automated Security Assessment Tool named MASAT. © 2015 IEEE.

关键词： Virtualization

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Security modeling and analysis of a self-cleansing intrusion tolerance technique

Security modeling and analysis of a self-cleansing intrusion...

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International Symposium on Information Assurance and Security (IAS)

作者： Iman El Mir Dong Seong Kim Abdelkrim Haqiq Computer Networks Mobility and Modeling laboratory FST Hassan 1st University Settat Morocco Department of Computer Science and Software Engineering University of Canterbury New Zealand E-NGN Research Group

ISBN: (纸本)9781467387163

关键词： Markov processes Servers Numerical models Computer architecture Preventive maintenance Computer crime

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MASAT: Model-based automated security assessment tool for cloud computing

MASAT: Model-based automated security assessment tool for cl...

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International Symposium on Information Assurance and Security (IAS)

作者： Oussama Mjihil Dong Seong Kim Abdelkrim Haqiq Computer Networks Mobility and Modeling laboratory Hassan 1st University Settat Morocco Department of Computer Science and Software Engineering University of Canterbury New Zealand e-NGN Research Group Africa

ISBN: (纸本)9781467387163

关键词： Cloud computing Security Virtualization Computational modeling Virtual machining Servers Computer architecture

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