A SURVEY OF LOAD BALANCING ROUTING PROTOCOL ON MULTIHOP WIRELESS NETWORKS ABSTRACT A Multihop wireless Network have the potential to extend the coverage of a network which composed of mobile nodes where the two nodes can communicate through the number of intermediate nodes in wireless links. Multihop mesh networks‚ Multihop cognitive radio networks‚ sensor networks‚ iMANET‚ vanet are all the examples of Multihop wireless networks. To improve the network performance‚ Load Balancing in Routing mechanism
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4.4 Alteration The second main rubette‚ the Alteration rubette‚ provides the functional¬ity for altering one composition to another. In this section‚ we generalize presto Hindustani Music’s alteration concepts (see Chapter 3‚ Section 3.2.1) for Power denotators. After the definition of alteration‚ we reconstruct some of the presto examples for better comprehension. 4.4.1 Definition of Alteration For alteration we need: • two compositions d1 : A@P(c11‚. . . c1m) and d2 : A@P(c21‚. . . c2n)‚ cij being
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Exploiting Semantic Web Technologies for Recommender Systems A Multi View Recommendation Engine Houda OUFAIDA‚ Omar NOUALI DTISI Laboratory‚ CERIST Research Center 03‚ Rue frères Aissou - Ben Aknoun – Algiers‚ Algeria {houfaida‚ onouali}@mail.cerist.dz Abstract Collaborative filtering systems are probably the most known recommendation techniques in the recommender systems field. They have been deployed in many commercial and academic applications. However‚ these systems still have some limitations
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SEMINAR REPORT-2013 CLAYTRONICS CONTENTS 1. Abstract 2. Introduction 3. Claytronics Vs Nanotechnology 4. Claytronics Hardware 5. Millimeter Scale Catoms 6. Software Research 7. An Internet in a Box 8. Nodes 9. Seamless Ensemble 10. The Research Program 11. Programming Language for
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Response Matrix. You need to implement the ridge regression and tune the regularization parameter. The material of this algorithm can be found in Page 103 to Page 106 in the book ”The Elements of Statistical Learning” (http://www-stat.stanford.edu/~tibs/ElemStatLearn/). • Na¨ Bayes ive You need to try Naive Bayes without smoothing and use smoothing. • k -Nearest Neighbor for kNN‚ k is a parameter. You need to report two result‚ k =1 and k =p. you can choose an appropriate p for different datasets
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JNCIA Juniper™ Networks Certified Internet Associate Study Guide by Joseph M. Soricelli with John L. Hammond‚ Galina Diker Pildush‚ Thomas E. Van Meter‚ and Todd M. Warble This book was originally developed by Juniper Networks Inc. in conjunction with Sybex Inc. It is being offered in electronic format because the original book (ISBN: 0-7821-4071-8) is now out of print. Every effort has been made to remove the original publisher’s name and references to the original bound book and its
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A Major Project Report on EFFICIENT RESOURCE ALLOCATION FOR ADHOC NETWORKS Submitted in partial fulfillment of the requirement for the award of the degree BACHELOR OF TECHNOLOGY In Computer Science and Engineering Submitted By A.Manasa (09R01A0501) B.Tejasvi (09R01A0510) K.Balakrishna (09R01A0527) C.Apurva (09R01A0560) Under the Esteemed Guidance of Ms.T.S.Suhasini Assistant Professor [pic] Department of Computer Science and Engineering
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six different image filtering algorithms are compared based on their ability to reconstruct noiseaffected images. The purpose of these algorithms is to remove noise from a signal that might occur through the transmission of an image. A new algorithm‚ the Spatial Median Filter‚ is introduced and compared with current image smoothing techniques. Experimental results demonstrate that the proposed algorithm is comparable to these techniques. A modification to this algorithm is introduced to achieve more
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index nodes. We also discuss how to estimate the selectivity of a SAS query in euclidean space‚ for which we present a novel adaptive algorithm to find balanced partitions using both the spatial and string information stored in the tree. For queries on road networks‚ we propose a novel exact method‚ RSASSOL‚ which significantly outperforms the baseline algorithm in practice. The RSASSOL combines the q-gram-based inverted lists and the reference nodes based pruning. Extensive experiments on large
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Customer Segmentation and Analysis of a Mobile Telecommunication Company of Pakistan using Two Phase Clustering algorithm Salar Masood‚ Moaz Ali‚ Faryal Arshad‚ Ali Mustafa Qamar‚ Aatif Kamal Department of Computing School of Electrical Engineering and Computer Science (SEECS) National University of Sciences and Technology (NUST) Islamabad‚ Pakistan {09bitsmasood‚ 09bitmoaza‚ 09bitfarshad‚ mustafa.qamar‚ aatif.kamal}@seecs.edu.pk Abstract—Pakistan hosts a competitive and fluid telecommunication
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