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  • Quality of Cluster Index Based on Study of Decision Tree
    validity indices are geometry based cluster quality measures This work proposes a cluster validity index based on the decision theoretic rough set model by considering various loss functions Real time retail data show the usefulness of the proposed validity index for the evaluation of rough and crisp clustering The measure is shown to help determine optimal number of clusters as well as an important parameter called threshold in rough clustering The experiments with a promotional campaign for the retail data illustrate the ability of the proposed measure to incorporate financial considerations in evaluating quality of a clustering scheme This ability to deal with monetary values distinguishes the proposed decision theoretic measure from other distance based measures Our proposed system validity index can also be efficient for evaluating other clustering algorithms such as fuzzy clustering References Cited By J C Bezdek Pattern Recognition with Fuzzy Objective Function Algorithms Plenum Press 1981 doi 10 1007 978 1 4757 0450 1 5 D L Davies and D W Bouldin A Cluster Separation Measure IEEE Trans Pattern Analysis and Machine Intelligence vol 1 no 2 pp 224 227 Apr 1979 doi 10 1109 TPAMI 1979 4766909 J C Dunn Well Separated Clusters and Optimal Fuzzy Partitions J Cybernetics vol 4 pp 95 104 1974 doi 10 1080 01969727408546059 S Hirano and S Tsumoto On Constructing Clusters from Non Euclidean Dissimilarity Matrix by Using Rough Clustering Proc Japanese Soc for Artificial Intelligence JSAI Workshops pp 5 16 2005 T B Ho and N B Nguyen Nonhierarchical Document Clustering by a Tolerance Rough Set Model Int l J Intelligent Systems vol 17 no 2 pp 199 212 2002 doi 10 1002 int 10016 Rough Cluster Quality Index Based on Decision Theory Pawan Lingras Member IEEE Min Chen and Duoqian Miao IEEE TRANSACTIONS ON KNOWLEDGE AND DATA

    Original URL path: http://www.ijorcs.org/manuscript/id/13/brajasekhar-b-sunil-kumar-rajesh-vibhudi-bv-rama-krishna/quality-cluster-index-based-study-decision-tree (2016-05-01)
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  • Efficient Real-Time Video Transmission in Wireless Mesh Network
    PDA s etc These enhancements are going to affect the consumer behaviour business culture Video transmission includes transmitting packets through Wireless Mesh Network WMN which turned out to be a challenging scenario for real time video services Due to the existing nature of wireless networks include the presence of unpredictable delays and high packet error rates due to the error prone nature of the wireless links In this paper we will propose a model which provides high capacity data transfer with reduced delay We have simulated and achieved results with higher through put References Cited By A technical tutorial on the IEEE 802 11 protocol by PabloBrenner www sss mag com pdf 802 11tut pdf A Iwata C C Chiang G Pei M Gerla and T W Chen Scalable Routing Strategies for Ad hoc Wireless Networks IEEE Journal of Selected Areas in Communications vol 17 no 8 pp 1369 1379 August 1999 doi 10 1109 49 779920 Akyildiz I F Wang X Wang W Wireless Mesh Networks A Survey Computer Networks Journal Elsevier March 2005 doi 10 1016 j comnet 2004 12 001 Amre El Hoiydi Implementation options for the distribution system in the 802 11 Wireless LAN Infrastructure Network Proc IEEE International Conference on Communications 2000 vol 1 pages 164 169 New Orleans USA June 2000 doi 10 1109 ICC 2000 853085 An Adaptive RTS CTS Control Mechanism for IEEE 802 11MACProtocol www ee ucla edu ains rubin papers Laura VTC03 full 0227 pdf Anne H Ren Gerald Q Maguire Jr An adaptive realtime IAPP protocol for supporting multimedia communications in wireless LAN systems Proc Of InternationalConferenceonComputerCommunications pp 437 442 Japan Sept 1999 Distributed Coordinated Function DCF http www vocal com network 802 11 index html Future of Real time video communication http www iftf org FutureofRealTimeVideoCommunication IEEE standard

    Original URL path: http://www.ijorcs.org/manuscript/id/10/rajanikanth-aluvalu-nitin-birari-supriya-byreddy/efficient-real-time-video-transmission-in-wireless-mesh-network (2016-05-01)
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  • Analysis of GPS Errors During Different Times in a Day
    48 Web 1 May 2016 Raghunath Swapna Dr B L Malleswari and Karnam Sridhar Analysis of GPS Errors During Different Times in a Day International Journal of Research in Computer Science 2 no 1 2011 45 48 doi 10 7815 ijorcs 21 2011 014 Close Abstract This paper focuses on modeling the errors which normally degrade the accuracy of Global Poisoning System GPS The performance of the GPS is mainly affected by ionospheric errors SiRF Star III single frequency receiver is used for collecting and projecting datum in World Geodetic System 1984 WGS 84 co ordinate form To project the ellipsoidal model onto a map model datum conversion from WGS 84 to Universal Transverse Mercator UTM form is needed The conversion introduces errors in the datum The variation in the errors can be observed from day to night area to area and also due to the seasonal changes The datum is collected from Ameerpet region of Hyderabad which is a heavily populated area with heavy traffic and tall buildings The variation in the datum has been observed from afternoon to evening References Cited By Bradford w Parkinson Global Positioning System Theory and Applications vol I and II American Institute of Aeronautics and Astronautics Washington 1996 http edu observatory org gps gps accuracy html http www elsevierdirect com companions 9780126836301 appendices Chapter 2 ECI Cartesian Coordinates to Kepler Orbit Elements Conversion pdf http www squidoo com GPS coordinate systems datums Langley R B The orbits of GPS satellites GPS World March Vol 2 No 3 pp 50 53 Ordnance Survey A Guide to Coordinate System in Great Britain http www ordnancesurvey co uk oswebsite gps docs A Guide to Coordinate Systems in Great Britain pdf visited on05 01 11 Iyiade Adeniyi Ionospheric Error in GPS Applications GP1 46 01062 GF1Poster Session25 Oct 05 CEP Training Course in The Global Positioning System and its Applications 12th 16th November 2002 sponsored by the Dept of Science and Technology Government of India by Civil Engg Geology Remote sensing Division U T Bombay Mumbai 400076 Pages 4 14 2002 Eliott D Kaplan Editor Understanding GPS Principles and Applications Artech House 1996 John D Bossler Editor Manual of Geospatial Science and Technology Taylor Francis Inc 2002 K Srivastava and Mr K Ramalingam Error Estimates for WGS 84 and Everest India 1956 Transformation Geospatial World Map Asia 2003 Quddusa Sultana Dhiraj Sunehra A D Sarma and P V D Somasekhar Rao Comparitive Analysis of the Techniques for Estmation of GPS DOP over Indian Region IETE Journal of Research January February 2009 Vol 55 No 1 Pages 28 34 doi 10 4103 0377 2063 51324 S S V Chalam and I V Murlikrishna Assesment of positional accuracy of GPS A case study Journal of Geomatics April 2010 Vol 4 No 1 Pages 31 36 Sisman Yasemin The optimization of GPS positioning using response surface methodology Arabian Journal of Geosciences 7 3 2014 1223 1231 Malaainine Mohamed El Imame et al Method for automated georeferencing and integrating printed maps

    Original URL path: http://www.ijorcs.org/manuscript/id/14/swapna-raghunath-dr-bl-malleswari-karnam-sridhar/analysis-of-gps-errors-during-different-times-in-a%20day (2016-05-01)
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  • Query as Region Partition in Managing Moving Objects for Concurrent Continuous Query
    10 7815 ijorcs 21 2011 008 Close Abstract Applications in location based services rely on the efficient management of large scale moving objects and one of the most important operations is real time continuous query over moving objects such as monitoring the objects of a certain region In order to satisfy the high throughput and handle real time updates and queries it is a good choice to introduce multi core parallel processing and managing spatial indices in main memory In this paper we propose a new scheme of processing continuous query on a novel spatial index based on uniform grid which is proved to be a good indexing scheme in main memory The novelty of our index is to manage query region as the partition in the spatial index which unified the index updating and query processing Our experiments indicate that this sophisticated approach has better performance especially when the query is rather stationary References Cited By Volker Gaede Oliver G unther Multidimensional Access Methods In ACM Computing Surveys CSUR Volume 30 Issue 2 June 1998 doi 10 1145 280277 280279 D Kalashnikov S Prabhakar S Hambrusch Main Memory Evaluation of Monitoring Queries Over Moving Objects Distributed and Parallel Databases An International Journal Vol 15 No 2 pages 117 136 2004 doi 10 1023 B DAPD 0000013068 25976 88 Maurice Herlihy and Nir Shavit The Art of Multiprocessor Programming Elsevier 2008 Hector Garcia Molina Jeffret D Ullman Jennifer Widom Database System Implementation Second Edition Pearson Education Inc 2009 Darius ˇ Sdlauskas Simonas ˇ Sltenis Christian W Christiansen Jan M Johansen Donatas ˇ Sulys Trees or Grids Indexing Moving Objects in Main Memory In ACM GIS 09 November 4 6 2009 Seattle WA USA Hanan Samet Foundations of Multidimensional and Metric Data Structures Morgan Kaufmann Publishers 2006 John T Robinson The K D B Tree A Search Structure for Large Multideminsional Dynamic Indexes In Proceedings of the ACM SIGMOD International conference on Management of data 1981 Diane Greene An Implementation and Performance Analysis of Spatial Data Access Methods In Proceedings Fifth International Conference on Data Engineering 1989 doi 10 1109 ICDE 1989 47268 Antonin Guttman R trees a dynamic index structure for spatial searching SIGMOD Rec 14 2 June 1984 47 57 doi 10 1145 971697 602266 Xiaopeng Xiong Mohamed F Mokbel etc Scalable Spatio temporal Continuous Query Processing for Location aware Services In Proceedings of 16th International Conference on Scientific and Statistical Database Management 2004 SSDBM04 Jing Dai Chang Tien Lu CLAM Concurrent Location Management for Moving Objects In ACM International Symposium on Advances in Geographic Information Systems New York NY USA 2007 Chang Tien Lu Jing Dai Ying Jin Janak Mathuria GLIP A Concurrency Control Protocol for Clipping Indexing IEEE Transaction on Knowledge and Data Engineering Vol 21 No 5 2009 doi 10 1109 TKDE 2008 183 Jing Dai Chang Tien Lu Lien Fu Lai A Concurrency Control Protocol for Continuously Monitoring Moving Objects In Tenth International Conference on Mobile Data Management Systems Services and Middleware 2009 doi 10

    Original URL path: http://www.ijorcs.org/manuscript/id/8/ming-qi-guangzhong-sun-yun-xu/query-as-region-partition-in-managing-moving-objects-for-concurrent-continuous-query (2016-05-01)
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  • A Comparative Study on Distance Measuring Approaches for Clustering
    distance measures for clustering and present a comparison between them based on application domain efficiency benefits and drawbacks This comparison helps the researchers to take quick decision about which distance measure to use for clustering We conclude this work by identifying trends and challenges of research and development towards clustering References Cited By Ankita Vimal Satyanarayana R Valluri Kamalakar Karlapalem An Experiment with Distance Measures for Clustering Technical Report IIIT TR 2008 132 John W Ratcliff and David E Metzener Pattern Matching The Gestalt Approach DR DOBB S JOURNAL 1998 p 46 Martin Ester Hans Peter Kriegel Jrg Sander and Xiaowei Xu A Density Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise AAAI Press 1996 pp 226 231 Bar Hilel A Hertz T Shental N Weinshall D 2003 Learning distance functions using equivalence Fukunaga K 1990 Statistical pattern recognition San Diego Academic Press 2nd edition Rui Xu Donald Wunsch Survey of Clustering Algorithms IEEE Transactions on Neural Networks VOL 16 NO 3 MAY 2005 doi 10 1109 TNN 2005 845141 http en wikipedia org wiki Data clustering http en wikipedia org wiki K means http en wikipedia org wiki DBSCAN http en wikipedia org wiki Jaccard index http en wikipedia org wiki Dice coefficient Kekre H B Tanuja K Sarode and Jagruti K Save Effect of Distance Measures on Transform Based Image Classification International Journal of Engineering Science and Technology 4 8 2012 Zhang Yu et al Encoding local binary descriptors by bag of features with hamming distance for visual object categorization Advances in Information Retrieval Springer Berlin Heidelberg 2013 630 641 Seitzer Phillip Tu Anh Huynh and Marc T Facciotti JContextExplorer a tree based approach to facilitate cross species genomic context comparison BMC bioinformatics 14 1 2013 18 Paskaleva Biliana and Pavel Bochev A vector space

    Original URL path: http://www.ijorcs.org/manuscript/id/11/shraddha-pandit-suchita-gupta/distance-measuring-approaches-for-clustering (2016-05-01)
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  • Unification of Randomized Anomaly in Deception Detection using Fuzzy Logic under Uncertainty
    V Narayani and Dr S P Victor Unification of Randomized Anomaly in Deception Detection using Fuzzy Logic under Uncertainty International Journal of Research in Computer Science 2 no 2 2012 7 14 doi 10 7815 ijorcs 22 2012 016 Close Abstract In the recent era of computer electronic communication we are currently facing the critical impact of Deception which plays its vital role in the mode of affecting efficient information sharing system Identifying Deception in any mode of communication is a tedious process without using the proper tool for detecting those vulnerabilities This paper deals with the efficient tools of Deception detection in which combined application implementation is our main focus rather than with its individuality We propose a research model which comprises Fuzzy logic Uncertainty and Randomization This paper deals with an experiment which implements the scenario of mixture application with its revealed results We also discuss the combined approach rather than with its individual performance References Cited By Alan Ryan Professional liars Truth Telling Lying and Self Deception Social Research Fall 1996 Bond c F A world of lies the global deception research team JournalofCrossculturePsychology 2006Vol 37 1 60 74 Burgoon J K and Qin T The Dynamic Nature of Deceptive Verbal Communication Journal of Language and Social Psychology 2006 vol25 1 1 22 doi 10 1177 0261927X05284482 Gupta Bina 1995 Perceiving in Advaita Vedanta Epistemological Analysis and Interpretation Delhi Motilal Banarsidass pp 197 ISBN 81 208 1296 4 Pennebaker J W Mehl M R Niederhoffer K Psychological aspects of natural language use our words ourselves Annual Review of Psychology 2003 54 547 577 Steve Woznaik L Simon 2002 The art of deception controlling the human element of security Wiley 1 edition Whissell C Fournier M Pelland R Weir D Makaree K A comparison of Classfiifcation methods for

    Original URL path: http://www.ijorcs.org/manuscript/id/16/srajkumar-vnarayani-dr-sp-victor/unification-of-randomized-anamoly-in-deception-detection-using-fuzzy-logic-under-uncertainty (2016-05-01)
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  • Multiple Linear Regression Models in Outlier Detection
    databases is important both for improving the quality of original data and for reducing the impact of anomalous values in the process of knowledge discovery in databases Such anomalous values give useful information to the data analyst in discovering useful patterns Through isolation these data may be separated and analyzed The analysis of outliers and influential points is an important step of the regression diagnostics In this paper our aim is to detect the points which are very different from the others points They do not seem to belong to a particular population and behave differently If these influential points are to be removed it will lead to a different model Distinction between these points is not always obvious and clear Hence several indicators are used for identifying and analyzing outliers Existing methods of outlier detection are based on manual inspection of graphically represented data In this paper we present a new approach in automating the process of detecting and isolating outliers Impact of anomalous values on the dataset has been established by using two indicators DFFITS and Cook sD The process is based on modeling the human perception of exceptional values by using multiple linear regression analysis References Cited By Hawkins D Identification of Outliers Chapman and and Hall London 1980 Barnett V and Lewis T 1994 Outliers in Statistical Data John Wiley Sons 3rd edition Grubbs F E 1969 Procedures for detecting outlying observations in samples Technometrics 11 1 21 doi 10 1080 00401706 1969 10490657 Rousseeuw P and Leroy A 1996 Robust Regression and Outlier Detection John Wiley Sons 3rd edition Cook R D and Weisberg S T 1982 Residuals and influence in New York Chapman and Hall Abraham B and A Chuang Outlier Detection and Time Series Modelling Technometrics 1989 doi 10 1080 00401706 1989 10488517

    Original URL path: http://www.ijorcs.org/manuscript/id/18/sma-khaleelur-rahman-m-mohamed-sathik-k-senthamarai-kannan-/multiple-linear-regression-models-in-outlier-detection (2016-05-01)
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  • Adoption of Parallel Genetic Algorithms for the Solution of System of Equations
    require modeling the system as set of simultaneous linear non linear equations and generating solutions to satisfy the system of equations Analytical approach towards solving the system of equations remains practical so long as considerable constraints are imposed on the modeled system to bring in significant simplicity so as to retain the system model within the scope of defined algorithms for solving system of equations The current work adopts the concept of genetic algorithm towards evolving a solution to a system of equations The fundamental strength of genetic algorithms lies in the fact the solution generation is practically unconstrained permitting the methodology to become the superset for all possible realizable problems One of the oft repeated and highlighted drawbacks of genetic algorithm i e requirements of huge initial population and corresponding extended number of computations and hence time is addressed by exploiting multi processing capabilities of the current generation hardware as well as system software Adopted strategy for selecting the best population implementation flow chart along with a case study is presented References Cited By Wang D and Zhiming Z Differential equations with symbolic computation Birkhauser Basel 2005 doi 10 1007 3 7643 7429 2 Versteeg H and Malalasekara W An introduction to computational fluid dynamics The finite volume method Pearson 2008 Smith I M and Griffiths D V Programming the finite element method John Wiley Sons 2004 Hayt W H Kemmerly J E and Durbin S M Engineering Circuits Analysis Tata McGraw Hill Education 2006 Chapra S and Canale R Numerical Methods for Engineers McGraw Hill Higher Education 2009 Hamming R W Numerical methods for scientists and engineers Dover Publications 1973 Sarkar T Siarkiewicz K and Stratton R Survey of numerical methods for solution of large systems of linear equations for electromagnetic field problems IEEE Transactions on Antennas and

    Original URL path: http://www.ijorcs.org/manuscript/id/15/shilpa-s-babalad-anand-m-shivapuji/adoption-of-parallel-genetic-algorithms-for-the-solution-of-system-of-equations (2016-05-01)
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