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Annual International Conference on Emerging Research Areas

作者： Biku Abraham Varghese Paul Dept. of Computer Applications Saintgits College of Engineering Dept. of CSE/IT TocH Institute of Science & Technology

ISBN: (纸本)9781467351508

An efficient method for compression of behavioral data is presented in this paper. The data sets, which occurs most in a wide variety of applications, create some of the most significant challenges in data mining. We propose a method expressing the alikeness of data. data reduction technique using statistical technique widely known as clustering method is extensively used in management science to reduce the behavioral data. The use of clustering method in data compression is largely unexplored area which has great potential for further research. This study is a humble attempt in this direction. Stating a hypothesis that more number of clusters the less will be the deviation from the original data.

关键词： Cluster Behavioral data Centroid Pattern recognition

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Evolutionary neuro-fuzzy system for protein secondary structure prediction

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1st International Conference on Frontiers in Intelligent Computing: Theory and applications, FICTA 2012

作者： Krishnaji, Andey Appa Rao, Allam Dept. of Computer Applications Swarnandhra College of Engineering and Technology Narasapur Andhra Pradesh 534 280 India JNTUK CRRao Advanced Institute for Mathematics Statistics and Computer Science University of Hyderabad Campus Gachibowli Hyderabad 500 046 India

ISBN: (纸本)9783642353130

Protein secondary structure prediction is an essential step for the understanding of both the mechanisms of folding and the biological function of proteins. Experimental evidences show that the native conformation of a protein is coded within its primary structure. This work investigates the benefits of combining genetic algorithms, fuzzy logic, and neural networks into a hybrid Evolutionary Neuro-Fuzzy System, especially for predicting a protein's secondary structure directly from its primary structure. The proposed system will include more biological information such as protein structural class, solvent accessibility, hydrophobicity and physicochemical properties of amino acid residues to improve accuracy of protein secondary structure prediction. The proposed system will experiment on three-class secondary structure prediction of proteins, that is, alpha helix, beta sheet or coil. The experimental results indicate that the proposed method has the advantages of high precision, good generalization, and comprehensibility. The method also exhibits the property of rapid convergence in fuzzy rule generation. © 2013 Springer-Verlag.

关键词： Proteins

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Multi pattern matching technique on fragmented and out-of-order packet streams for intrusion detection system

Multi pattern matching technique on fragmented and out-of-or...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Manish Kumar M. Hanumanthappa Department of Computers Science and Applications Bangalore University Bangalore INDIA Dept. of Computer Science and Applications Bangalore University Bangalore INDIA

In this paper we are discussing about Intrusion Detection System based on Deterministic Finite-State Automata (DFA). The proposed system is designed to deal the fragmented and out-of-order packets. Fragmentation is the term given to the process of breaking down an IP datagram into smaller packets to be transmitted over different types of network media and then reassembling them at the other end. In most cases, depending upon the actual security device defending the network, there are typically multiple fragmentation techniques and packet size combinations capable of squeezing and exploiting protection device on a network. We present an efficient multi pattern algorithm for regular expression matching on streams with fragmented and out of order data, while maintaining a small state and without complete stream reconstruction. It improves the performance of Intrusion Detection System for detecting the fragmented and Out-of-Order packet attack. The proposed technique helps to achieve high throughput while limiting both memory-usage and memory-bandwidth on fragmented data packets intrusion.

关键词： IP networks Automata Silicon Pattern matching Intrusion detection Ports (computers) Out of order

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From size perception to counting: An evolutionary computation point of view

From size perception to counting: An evolutionary computatio...

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15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013

作者： Katz, Gali Barabash Benbassat, Amit Diesendruck, Liana Sipper, Moshe Henik, Avishai Dept. of Cognitive Science Ben-Gurion University of Negev Beer-Sheva Israel Dept. of Computer Science Ben-Gurion University of Negev Beer-Sheva Israel National Center for Supercomputing Applications University of Illinois Urbana- Champaign IL United States Dept. of Psychology Zlotowski Center for Neuroscience Ben-Gurion University of Negev Beer-Sheva Israel

ISBN: (纸本)9781450319645

The ability to perceive size is shared by humans and animals. Babies present this basic ability from birth, and it improves with age. Counting, on the other hand, is a more complex task than size perception. We examined the theory that the counting system evolved from a more primitive system of size perception (the leading alternative being that the two systems evolved separately). By using evolutionary computation techniques, we generated artificial neural networks (ANNs) that excelled in size perception and presented a significant advantage in evolving the ability to count over those that evolved this ability from scratch. This advantage was observed also when evolving from ANNs that master other simple classification tasks. We also show that ANNs who train to perceive size of continuous stimuli present better counting skills than those that train with discrete stimuli.

关键词： Neural networks

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Performance Evaluation of Unstructured NoSQL data over distributed framework

Performance Evaluation of Unstructured NoSQL data over distr...

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International Conference on Advances in Computing, Communications and Informatics

作者： Suyog S. Nyati Shivanand Pawar Rajesh Ingle Dept. of Computer Engineering PICT Augment IQ data science Pune Maharashtra

ISBN: (纸本)9781467361262

various organizations are dependent on structured database like Oracle, MySQL etc. but these database systems do not harness the requirements of all organizations like scalability, availability etc. When data and number of requests increases, structure database cannot handle huge data and requests efficiently. One of the solution to overcome these issues is to shift datacenters on NoSQL unstructured databases. In this paper we explain few NoSQL unstructured databases and present performance analysis of MongoDB. We compare the time required to insertion in different databases as well as searching with different number of threads in database with different number of entries. This work also studies the importance of the Sharding and Configuration of the cluster for MongoDB.

关键词： Distributed database Clustering NoSQL

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Dark energy survey year 1 results: Photometric data set for cosmology

arXiv

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arXiv 2017年

作者： Drlica-Wagner, A. Sevilla-Noarbe, I. Rykoff, E.S. Gruendl, R.A. Yanny, B. Tucker, D.L. Hoyle, B. Carnero Rosell, A. Bernstein, G.M. Bechtol, K. Becker, M.R. Benoit-Lévy, A. Bertin, E. Carrasco Kind, M. Davis, C. de Vicente, J. Diehl, H.T. Gruen, D. Hartley, W.G. Leistedt, B. Li, T.S. Marshall, J.L. Neilsen, E. Rau, M.M. Sheldon, E. Smith, J.A. Troxel, M.A. Wyatt, S. Zhang, Y. Abbott, T.M.C. Abdalla, F.B. Allam, S. Banerji, M. Brooks, D. Buckley-Geer, E. Burke, D.L. Capozzi, D. Carretero, J. Cunha, C.E. D'Andrea, C.B. da Costa, L.N. DePoy, D.L. Desai, S. Dietrich, J.P. Doel, P. Evrard, A.E. Fausti Neto, A. Flaugher, B. Fosalba, P. Frieman, J. García-Bellido, J. Gerdes, D.W. Giannantonio, T. Gschwend, J. Gutierrez, G. Honscheid, K. James, D.J. Jeltema, T. Kuehn, K. Kuhlmann, S. Kuropatkin, N. Lahav, O. Lima, M. H., Lin M.A.G., Maia P., Martini R.G., McMahon P., Melchior F., Menanteau R., Miquel R.C., Nichol R.L.C., Ogando A.A., Plazas A.K., Romer A., Roodman E., Sanchez V., Scarpine R., Schindler M., Schubnell M., Smith R.C., Smith M., Soares-Santos F., Sobreira E., Suchyta G., Tarle V., Vikram A.R., Walker R.H., Wechsler J., Zuntz Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Madrid Spain Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Department of Astronomy University of Illinois 1002 W. Green Street UrbanaIL61801 United States National Center for Supercomputing Applications 1205 West Clark St. UrbanaIL61801 United States Universitäts-Sternwarte Fakultät für Physik Ludwig-Maximilians Universität München Scheinerstr. 1 München81679 Germany Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 Rio de Janeiro RJ20921-400 Brazil Observatório Nacional Rua Gal. José Cristino 77 Rio de Janeiro RJ20921-400 Brazil Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States LSST 933 North Cherry Avenue TucsonAZ85721 United States Department of Physics Stanford University 382 Via Pueblo Mall StanfordCA94305 United States CNRS UMR 7095 Institut d'Astrophysique de Paris ParisF-75014 France Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Sorbonne Universités UPMC Univ Paris 06 UMR 7095 Institut d'Astrophysique de Paris ParisF-75014 France Department of Physics ETH Zurich Wolfgang-Pauli-Strasse 16 ZurichCH-8093 Switzerland New York University CCPP New YorkNY10003 United States George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy Department of Physics and Astronomy Texas A&M University College StationTX77843 United States Faculty of Physics Ludwig-Maximilians-Universität Scheinerstr. 1 Munich81679 Germany Brookhaven National Laboratory Bldg 510 UptonNY11973 United States Austin Peay State University Dept. Physics-Astronomy P.O. Box 4608 ClarksvilleTN37044 United States Center for Cosmology and Astro-Particle Physics Ohio Sta

We describe the creation, content, and validation of the Dark Energy Survey (DES) internal year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses. The Y1A1 GOLD data set is assembled from multiple epochs of DES imaging and consists of calibrated photometric zeropoints, object catalogs, and ancillary data products-e.g., maps of survey dept. and observing conditions, star-galaxy classification, and photometric redshift estimates-that are necessary for accurate cosmological analyses. The Y1A1 GOLD wide-area object catalog consists of ∼ 137 million objects detected in coadded images covering ∼ 1800 deg2 in the DES grizY filters. The 10σ limiting magnitude for galaxies is g = 23.4, r = 23.2, i = 22.5, z = 21.8, and Y = 20.1. Photometric calibration of Y1A1 GOLD was performed by combining nightly zeropoint solutions with stellar locus regression, and the absolute calibration accuracy is better than 2% over the survey area. DES Y1A1 GOLD is the largest photometric data set at the achieved dept. to date, enabling precise measurements of cosmic acceleration at z. 1. Copyright © 2017, The Authors. All rights reserved.

关键词： Surveys

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Preamble design for channel estimation in OFDM/OQAM cooperative systems

Preamble design for channel estimation in OFDM/OQAM cooperat...

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10th IEEE International Symposium on Wireless Communication Systems 2013, ISWCS 2013

作者： Mavrokefalidis, Christos Kofidis, Eleftherios Rontogiannis, Athanasios Theodoridis, Sergios Computer Technology Institute and Press Diophantus Patras University Campus Patras Greece Dept. of Statistics and Insurance Science University of Piraeus Piraeus Greece Institute for Astronomy Astrophysics Space Applications and Remote Sensing National Observatory of Athens Athens Greece Dept. of Informatics and Telecommunications University of Athens Athens Greece

ISBN: (纸本)9783800735297

Preamble design for LS channel estimation in OFDM/OQAM cooperative systems is investigated in this paper. A simple but important setup is considered, consisting of a pair of single-antenna terminals (source and destination) assisted in their communication by an AF relay and following a well-established two-phase transmission protocol. The so-called sparse preamble case (i.e., pilot tones surrounded by nulls) was recently addressed and the optimal design - in the sense of minimum MSE subject to transmit energy constraints - was shown to coincide with the one for CP-OFDM, thus resulting in no performance gains from the adoption of OFDM/OQAM. In order to complete this study and exhibit the possibilities of OFDM/OQAM to outperform CPOFDM, the so-called full preamble design (i.e., with all tones carrying pilot symbols) is addressed in this paper. The results are in line with the corresponding design for single-link systems, where the interference among pilots is positively exploited to provide significant performance gains over CP-OFDM. As a byproduct, the solution for cooperative CP-OFDM is also given, through its connection to OFDM/OQAM. The presented simulation results corroborate the analysis, demonstrating superior performance over CP-OFDM for both mildly and highly frequency selective channels and at practical SNR values. © VDE Verlag GMBH.

关键词： Orthogonal frequency division multiplexing

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Human face based approach for video summarization

Human face based approach for video summarization

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IEEE Recent Advances in Intelligent Computational Systems (RAICS)

作者： R. Hari C. P. Roopesh M. Wilscy Terna Public Charitable Trust's College of Engineering Osmanabad Maharashtra IN Dept. of Computer Applications College of Engineering Trivandrum India Dept. of Computer Science University of Kerala Trivandrum India

In video summarization, a short video clip is made from lengthy video without losing its semantic content using significant scenes containing important frames, called keyframes. This process finds importance in video content management systems. The proposed method involves automatic summarization of motion picture based on human face. In this method, those frames within which the appearances of an actor or actress, selected by the user, occurs are treated as keyframes. In the first step, the video is segmented into shots by Mutual Information. Then it detects the available faces in the frames of each shot using the local Successive Mean Quantization Transform (SMQT) features and Sparse Network of Winnows (SNoW) classifier. Then the face of an actor of interest is selected to match with different available faces, already extracted, using Eigenfaces method. A shot is taken into consideration, if the method succeeds in finding at least one matched face in the shot. The selected shots are finally combined to create summarized video.

关键词： Face Feature extraction Face detection Snow Motion pictures Face recognition Vectors

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Triangle-partitioning edges of planar graphs, toroidal graphs and k-planar graphs

Triangle-partitioning edges of planar graphs, toroidal graph...

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7th International Workshop on Algorithms and Computation, WALCOM 2013

作者： Gao, Jiawei Kloks, Ton Poon, Sheung-Hung Software School Fudan University 220 Handan Rd. Shanghai China Dept. of Computer Science Inst. of Information Systems and Applications National Tsing Hua University No. 101 Sec. 2 Kuang Fu Rd. Hsinchu Taiwan

ISBN: (纸本)9783642360640

We consider the question whether the edges of a graph can be partitioned into a set of triangles. We propose a linear-time algorithm to partition the edges of a planar graph into triangles. We also obtain a polynomial-time algorithm for toroidal graphs. On the other hand, we show that it is NP-complete for k-planar graphs, where k ≥ 8. © 2013 Springer-Verlag.

关键词： Graphic methods

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C2MS: Dynamic Monitoring and Management of Cloud Infrastructures

C2MS: Dynamic Monitoring and Management of Cloud Infrastruct...

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IEEE International Conference on Cloud Computing Technology and science (CloudCom)

作者： Gary A. McGilvary Josep Rius Íñigo Goiri Francesc Solsona Adam Barker Malcolm Atkinson Edinburgh Data-Intensive Research Group The University of Edinburgh ICG Software Industrial Polygon Torrefarrera Spain Dept. of Computer Science Rutgers University Dept. of Computer Science and Industrial Engineering Univrsity of Lleida School of Computer Science University of St Andrews

Server clustering is a common design principle employed by many organisations who require high availability, scalability and easier management of their infrastructure. Servers are typically clustered according to the service they provide whether it be the application(s) installed, the role of the server or server accessibility for example. In order to optimize performance, manage load and maintain availability, servers may migrate from one cluster group to another making it difficult for server monitoring tools to continuously monitor these dynamically changing groups. Server monitoring tools are usually statically configured and with any change of group membership requires manual reconfiguration, an unreasonable task to undertake on large-scale cloud infrastructures. In this paper we present the Cloudlet Control and Management System (C2MS), a system for monitoring and controlling dynamic groups of physical or virtual servers within cloud infrastructures. The C2MS extends Ganglia - an open source scalable system performance monitoring tool - by allowing system administrators to define, monitor and modify server groups without the need for server reconfiguration. In turn administrators can easily monitor group and individual server metrics on large-scale dynamic cloud infrastructures where roles of servers may change frequently. Furthermore, we complement group monitoring with a control element allowing administrator-specified actions to be performed over servers within service groups as well as introduce further customized monitoring metrics. This paper outlines the design, implementation and evaluation of the C2MS.

关键词： Servers Monitoring Temperature measurement Clouds Temperature sensors Educational institutions

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