A SURVEY ON ARCHITECTURAL BEHAVIOUR OF WSN RECONFIGURATION
Main Article Content
Abstract
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.
References
V. T. N. Chau, "A Robust Self-Organizing Approach to Effectively Reconfiguration Incomplete Data," Knowledge and Systems Engineering (KSE), 2015 Seventh International Conference on, Ho Chi Minh City, 2015, pp. 150-155.
Yogita and D. Toshniwal, "Reconfiguration techniques for streaming data-a survey," Advance Computing Conference (IACC), 2013 IEEE 3rd International, Ghaziabad, 2013, pp. 951-956.
H. Venkateswara Reddy, P. Agrawal and S. Viswanadha Raju, "Data labeling method based on Zone purity using relative rough entropy for categorical data Reconfiguration," Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on, Mysore, 2013, pp. 500-506.
S. S. R. Abidi and J. Ong, "A data mining strategy for inductive data Reconfiguration: a synergy between self-organising neural networks and K-means Reconfiguration techniques," TENCON 2000. Proceedings, Kuala Lumpur, 2000, pp. 568-573 vol.2.
V. T. N. Chau, P. H. Loc and V. T. N. Tran, "A Robust Mean Shift-Based Approach to Effectively Reconfiguration Incomplete Educational Data," 2015 International Conference on Advanced Computing and Applications (ACOMP), Ho Chi Minh City, 2015, pp. 12-19.
Y. F. Wang, Z. G. Yu and V. Anh, "Fuzzy C-means method with empirical mode decomposition for Reconfiguration microarray data," Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on, Hong Kong, 2010, pp. 192-197.
Y. Yang and K. Chen, "Temporal Data Reconfiguration via Weighted Reconfiguration Ensemble with Different Representations," in IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 2, pp. 307-320, Feb. 2011.
S. Alam, G. Dobbie, Y. S. Koh and P. Riddle, "Reconfiguration heterogeneous web usage data using Hierarchical Particle Swarm Optimization," Swarm Intelligence (SIS), 2013 IEEE Symposium on, Singapore, 2013, pp. 147-154.
X. Liu, M. Yin, J. Luo and W. Chen, "An improved affinity propagation Reconfiguration algorithm for large-scale data sets," 2013 Ninth International Conference on Natural Computation (ICNC), Shenyang, 2013, pp. 894-899.
Y. Xie, A. Wulamu, Y. Wang and Z. Liu, "Implementation of time series data Reconfiguration based on SVD for stock data analysis on hadoop platform," 2014 9th IEEE Conference on Industrial Electronics and Applications, Hangzhou, 2014, pp. 2007-2010.
R. N. Dave and S. Sen, "Robust fuzzy Reconfiguration of relational data," in IEEE Transactions on Fuzzy Systems, vol. 10, no. 6, pp. 713-727, Dec 2002.
H. Prasetyo and A. Purwarianti, "Comparison of distance and dissimilarity measures for Reconfiguration data with mix attribute types," Information Technology, Computer and Electrical Engineering (ICITACEE), 2014 1st International Conference on, Semarang, 2014, pp. 276-280.
H. V. Reddy, B. S. Kumar and S. Viswanadharaju, "A Data Labeling Method for Categorical Data Reconfiguration Using Zone Entropies in Rough Sets," Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on, Bhopal, 2014, pp. 444-449.
K. Hua-Ai, "Method of Data Reconfiguration Incomplete Fill Based on Constraint Tolerance Set Dissimilarity," Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on, Hunan, 2014, pp. 615-620.
C. F. Tsai and S. C. Huang, "An effective and efficient grid-based data Reconfiguration algorithm using intuitive neighbor relationship for data mining," Machine Learning and Cybernetics (ICMLC), 2015 International Conference on, Guangzhou, 2015, pp. 478-483.
Y. Wang, L. Chen and J. P. Mei, "Incremental Fuzzy Reconfiguration With Multiple Medoids for Large Data," in IEEE Transactions on Fuzzy Systems, vol. 22, no. 6, pp. 1557-1568, Dec. 2014.
Y. Peng, Q. Luo and X. Peng, "UCK-means :A customized K-means for Reconfiguration uncertain measurement data," Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on, Shanghai, 2011, pp. 1196-1200.