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IEEE Symposium on On-Line Testing (IOLTS)

作者： Ghaith Bany Hamad Otmane Ait Mohamed Yvon Savaria Groupe de Recherche en Microélectronique et Microsystèmes Polytechnique Montréal Montréal QC Canada Dept. of Electrical & Computer Engineering Concordia University Montreal QC Canada

ISBN: (纸本)9781467379069

The progressive shrinking of device size in advanced technologies leads to miniaturization and performance improvements. However, ultra-deep sub-micron technologies are more vulnerable to soft errors. Error analysis of a complex system with a sufficiently large sample of vulnerable nodes takes a large amount of time. In this paper we propose RASVAS, a hierarchical statistical method to model, analyze, and estimate the behavior of a system in the presence of Single Event Transients (SETs) modeled at different abstraction levels. Gate level propagation tables are developed to abstract SET propagation conditions and probabilities from gate level models. At RTL, these tables are utilized to model the underlying probabilistic behavior as Markov Decision Process (MDP) models. Experimental results demonstrate that RASVAS is orders of magnitude faster than contemporary techniques and also handle designs as large as 256-bit adders while maintaining accuracy.

关键词： Logic gates Analytical models Probabilistic logic Probability Markov processes Adders Adaptation models

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An DDS based architecture in supporting of data centric wireless sensor network environments

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第1期7卷 251-258页

作者： Park, Seungmin Hosen, A.S.M. Sanwar Cho, Gihwan Dept. of Embedded Software ETRI Daejeon Korea Republic of Div. of Computer Science and Engineering Chonbuk Univ Jeonju Korea Republic of

Wireless sensor networks (WSNs) have emerged as one of the most promising technology to provide a wide variety of industrial applications. However, it is still failing to respond in a timely fashion service. In contrast to existing studies, we propose a more practical standard known as Data Distribution Service (DDS), as a middleware standard for interoperable Data Centric Publish-Subscribe (DCPS) architecture with real-time data distribution capabilities, and a candidate for standards based realizations of equally data centric WSN environments. Especially, this paper aims to evaluate on customized design features for real-time WSNs of an applicable and supportive architecture of DDS-based middleware. In the meantime, to integrate the underlying heterogeneous WSN and DDS, a supportive wireless protocol design is required and, thus, those features could be taken into account in designing the protocol. © 2014 SERSC.

关键词： Wireless sensor networks

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A concentration-of-measure inequality for multiple-measurement models

A concentration-of-measure inequality for multiple-measureme...

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IEEE International Symposium on Information Theory

作者： Liming Wangy Jiaji Huang Xin Yuan Volkan Cevher Miguel Rodrigues Robert Calderban Lawrence Carin Duke University Durham NC US Dept. of Electrical & Computer Engineering Duke University Durham NC USA Ecole Polytechnique Federale de Lausanne (EPFL) Laboratory for Information and Inference Systems Lausanne Switzerland Dept. of Electronic & Electrical Engineering University College London London U.K.

ISBN: (纸本)9781467377058

Classical compressive sensing typically assumes a single measurement, and theoretical analysis often relies on corresponding concentration-of-measure results. There are many real-world applications involving multiple compressive measurements, from which the underlying signals may be estimated. In this paper, we establish a new concentration-of-measure inequality for a block-diagonal structured random compressive sensing matrix with Rademacher-ensembles. We discuss applications of this newly-derived inequality to two appealing compressive multiple-measurement models: for Gaussian and Poisson systems. In particular, Johnson-Lindenstrauss-type results and a compressed-domain classification result are derived for a Gaussian multiple-measurement model. We also propose, as another contribution, theoretical performance guarantees for signal recovery for multi-measurement Poisson systems, via the inequality.

关键词： Sensors Linear matrix inequalities Maximum likelihood estimation Atmospheric measurements Particle measurements Adaptation models Compressed sensing

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Development of electric trading system using big data

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2014年第2期9卷 319-330页

作者： Lee, Cheol-Woong Cho, Sae-Hong Kim, Jong-Wook Hwang, Dae-Hoon Dept. of Digital Culture Technology and Contents Hansung University Korea Republic of Dept. of Multimedia Engineering Hansung University Korea Republic of Dept. of Media Software Sangmyung University Korea Republic of Dept. of Computer Science Gachon University Korea Republic of

Development of Smart Apparatuses, represented by Smart-phone, and development of internet and information & communication technology has changed the pattern of our life. With wireless communication and smart apparatuses, people now can create, share, and consume information at any time and any where. In addition, development of technology has allowed the large-scale data of image, voice, and image to be spreaded and shared, from the existing data consumption pattern of users that was mainly consisted of the text. With this, the quantity of data to be consumed by individual has been geometrically increased. At last, the age of Big Data has been emerged. The big data existing in the life have included a vast information. Now, analysis and utilization of these data in what kind of aspect has been more important. In this study, the status of Big Data have been looked through and the method of its utilization in the global online business field has been suggested. © 2014 SERSC.

关键词： Data mining

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Reachability vectors: Features for link-based similarity measures 14

Reachability vectors: Features for link-based similarity mea...

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29th Annual ACM Symposium on Applied Computing, SAC 2014

作者： Yoon, Seok-Ho Kim, Ji-Soo Ha, Jiwoon Kim, Sang-Wook Ryu, Minsoo Choi, Ho-Jin Dept. of Electronics and Computer Engineering Hanyang University Korea Republic of Dept. of Computer and Software Hanyang University Korea Republic of Dept. of Computer Science KAIST Korea Republic of

ISBN: (纸本)9781450324694

In this paper, we present a novel approach to computing link-based similarities among objects accurately. We discuss the problems with previous link-based similarity measures and propose a novel approach that does not suffer from these problems. In the proposed approach, each target object is represented by a vector. The elements of the vector denote all the objects in the given data set, and the value of each element indicates the weight of the corresponding object with respect to the target object. As for this weight value, we propose to utilize the probability of reaching from the target object to the specific object, computed using the "Random Walk with Restart" strategy. Then, we define the similarity between two objects as the cosine similarity of the two vectors representing the two objects. We also evaluate the performance of the proposed approach in comparison with existing link-based measures using two kinds of data sets. Our experimental results show that the proposed approach significantly outperform the existing measures. Copyright 2014 ACM.

关键词： Vectors

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Density and Mobility Impact on MANET Routing Protocols in a Maritime Environment

Density and Mobility Impact on MANET Routing Protocols in a ...

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Science and Information Conference

作者： Rabab J. Mohsin John Woods Mohammed Q. Shawkat School of Computer Science and Electronic Engineering University of Essex Colchester Essex C04 3SQ UK AL-Mustansiriya UniversityCollege of Engineering Computer and Software Engineering Dept.Baghdad Iraq School of Computer Science and Electronic Engineering University of Essex Colchester Essex C04 3SQ UK

ISBN: (纸本)9781479985487

Mobile Ad-Hoc Networks (MANETS) are multi hop wireless networks, where a packet hops through a number of intermediate nodes within coverage range of each other to reach the intended destination. The novel application of MANET routing protocols in the marine environment using available technology is one of the contributions of this work. The high cost of other available technologies which require direct connection to IP networks make our approach an attractive proposition for small craft. In this paper we investigate the effect of different maritime traffic patterns on the performance of three different MANET routing protocols which are Ad hoc On-Demand Distance Vector (AODV), Ad hoc On-Demand Multi Path Distance Vector (AOMDV) and Destination-Sequenced Distance Vector (DSDV). The traffic patterns are represented by different node densities and mobility behaviours which are likely to be found in the marine environment. Performance evaluation of the MANET protocols is compared in terms of packet delivery ratio.

关键词： Mobile Ad-hoc Networks Destination-Sequenced Distance Vector Ad hoc On-Demand Distance Vector Ad hoc On-Demand Multi Path Distance Vector

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Context-aware music recommendation in mobile smart devices 14

Context-aware music recommendation in mobile smart devices

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29th Annual ACM Symposium on Applied Computing, SAC 2014

作者： Hong, Jiwon Hwang, Won-Seok Kim, Jin-Hyung Kim, Sang-Wook Dept. of Computer and Software Hanyang University Seoul Korea Republic of Dept. of Electronics and Computer Engineering Hanyang University Seoul Korea Republic of

ISBN: (纸本)9781450324694

Mobile smart devices are now being used by many people as the primary means of listening to music. Based on the observation that a user's preferences for particular music pieces change with the contexts she/he faces, this paper proposes an approach to music recommendation that takes the target context into account by exploiting data gathered from a smart device. In addition, the proposed approach improves recommendations by including newly-added music pieces and newly-faced contexts, avoiding repeated recommendations of the same music piece, and reflecting a user's positive and negative feedback over time. We show the effectiveness of the proposed approach through extensive user study. Copyright 2014 ACM.

关键词： context-awareness mobile smart devices music recommendation

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A novel approach to perform reversible addition/subtraction operations using deoxyribonucleic acid

A novel approach to perform reversible addition/subtraction ...

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2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014

作者： Sarker, Ankur Hasan Babu, Hafiz Md. Islam, Md. Saiful Dept. of Computer Science and Engineering University of Dhaka Dhaka 1000 Bangladesh Dept. of Computer Science and Software Engineering Swinburne University of Technology VIC 3122 Australia

ISBN: (纸本)9781479934324

Reversible logic transforms logic signal in a way that allows the original input signals to be recovered from the produced outputs, has attracted great attention because of its application in many areas. Traditional silicon computers consume much more power compared to computing systems based on Deoxyribonucleic Acid (DNA). In addition, DNA-based logic gates are stable and reusable. In this paper, we propose a new approach for designing DNA-based reversible adder/subtractor circuit;it's possible to perform addition and subtraction operations using single circuit representation. We first merge the properties of addition and subtraction operations. Then, we demonstrate reversible DNA-based addition and subtraction operations. Our proposed DNA-based reversible addition/subtraction circuit is faster than the conventional one due to parallelism and replication properties of DNA strands. It also requires less space because of compactness of DNA strands. In addition, the DNA-based adder/subtractor circuit needs low power as the formation of DNAs consumes a small amount of energy. Finally, the comparative results show that the proposed DNA-based system requires m+3.2n DNA signals, but in existing system, it requires m.2n, where m is the size of extra tags and n is the total number of bits. Besides, the run time complexity of proposed system has O(1) while the existing system has O(mln2n). © 2014 IEEE.

关键词： DNA

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Comparative study of feature selection for white blood cell differential counts in low resolution images 6

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6th IAPR TC3 International Workshop on Artificial Neural Networks for Pattern Recognition, ANNPR 2014

作者： Habibzadeh, Mehdi Krzyżak, Adam Fevens, Thomas Dept. Of Computer Science and Software Engineering Concordia University MontréalQC Canada

ISBN: (纸本)9783319116556

Features that are widely used in digital image analysis and pattern recognition tasks are from three main categories: shape, intensity, and texture invariant features. For computer-aided diagnosis in medical imaging for many specific types of medical problem, the most effective choice of a subset of these features through feature selection is still an open problem. In this work, we consider the problem of white blood cell (leukocyte) recognition into their five primary types: Neutrophils, Lymphocytes, Eosinophils, Monocytes and Basophils using a Support Vector Machine classifier. For features, we use four main intensity histogram calculations, set of 11 invariant moments, the relative area, co-occurrence and run-length matrices, dual tree complex wavelet transform, Haralick and Tamura features. Global sensitivity analysis using Sobol’s RS-HDMR which can deal with independent and dependent input variables is used to assess dominate discriminatory power and the reliability of feature models in presence of high dimensional input feature data to build an efficient feature selection. Both the numerical and empirical results of experiments are compared with forward sequential feature selection. Finally, the results obtained from the preliminary analysis of white blood cell classification are presented in confusion matrices and interpreted using Cohen’s kappa (κ) with the classification framework being validated with experiments conducted on poor quality white blood cell images. © Springer International Publishing Switzerland 2014.

关键词： Medical imaging

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Learning automaton based context oriented middleware architecture for precision agriculture

Learning automaton based context oriented middleware archite...

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International Conference on computer, Information and Telecommunication Systems (CITS)

作者： P. Venkata Krishna S. Sivanesan Sudip Misra Mohammad S. Obaidat Department of Computer Science Sri Padmavathi Mahila Visvavidyalayam Tirupati India School of Information Technology Indian Institute of Technology Kharagpur India School of Computing Science and Engineering VIT University Vellore India Dept. of Computer Science& Software Engineering Monmouth University NJ USA

The continuous alteration of living landscape in earth due to the greatest impact of information technology has converted the whole earth into a small digital village. That means anyone could share information in any form with any other person residing anywhere in the earth. With the availability of information and communication technology like cloud computing, heterogeneous networking, crowd sensing, web services and data mining, anywhere and anytime information sharing is possible, but this will bring out lot of challenges like incompatibility in standards, data portability, data aggregation, data dissemination, differential context and communication overhead. The ICT has changed many aspects of human lifestyle, work places and living spaces. However, there is one sector namely agriculture which has been deprived of the real advantages of ICT. Hence, there exists a digital divide between farming industry and other industries. Farming industry consumes large amount of natural resources such as water, energy and fertilizers that could escalate issues such as global warming, soil degradation and depletion of ground water to the next level. To reduce the global warming effect, farming industry needs to be integrated with relevant technologies. This paper proposes ubiquitous context oriented middleware architecture for precision agriculture (LA-COMPa) to solve major issues such as waste of water, improper application of fertilizer, choice of wrong crops and season, poor yield and lack of marketing.

关键词： Context Learning automata Middleware Fertilizers Manuals Soil

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