By Suresh Chandra Satapathy, Vikrant Bhateja, Siba K. Udgata, Prasant Kumar Pattnaik
The publication is a set of top of the range peer-reviewed learn papers provided at foreign convention on Frontiers of clever Computing: concept and purposes (FICTA 2016) held in school of computing device Engineering, KIIT collage, Bhubaneswar, India in the course of sixteen - 17 September 2016. The publication goals to provide theories, methodologies, new principles, reports, purposes in all parts of clever computing and its purposes to numerous engineering disciplines like computing device technological know-how, electronics, electric, mechanical engineering, etc.
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Extra resources for Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications : FICTA 2016, Volume 2
Researchers developed many algorithms for ﬁnding frequent itemsets and association rules. However, relying upon the choice of the thresholds, present algorithms become very slow and produce a greatly large amount of outcomes or generates few outcomes, omitting usable information. Furthermore, it is well-known that an expansive extent of association rules produced is redundant. This is truly a signiﬁcant issue because in practice users don’t have much asset for analyzing the outcomes and need to ﬁnd a certain amount of outcomes within a limited time.
Eur. Sci. J. 9(12) (2013) BLDC Motor Drive with Power Factor Correction … 25 13. G. Moschopoulos, P. Kain, A novel single-phase soft-switched rectiﬁer with unity power factor and minimal component count. IEEE Trans. Ind. Electron. 51(3), 566–575 (2004) 14. W. Choi, J. Kwon, E. Kim, J. Lee, B. Kwon, “Bridgeless boost rectiﬁer with low conduction losses and reduced diode reverse-recovery problems. IEEE Trans. Ind. Electron. 54(2), 769– 780 (2007) 15. H. Ismail, Bridgeless SEPIC rectiﬁer with unity power factor and reduced conduction losses.
So, from the analysis plot it is ascertained that a lot of work can be explored in this area by the scientiﬁc community. There are some reviews of bio-inspired algorithms which have focused mainly on the classic algorithms but the newly developed ones have not been captured. Reviews of bio-inspired algorithms for cost minimization in mobile location management are also somewhat sparse. So, this paper signiﬁcantly overviews the application of bio-inspired optimization tools for reducing the location registration cost and location search cost in mobile location management problem.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications : FICTA 2016, Volume 2 by Suresh Chandra Satapathy, Vikrant Bhateja, Siba K. Udgata, Prasant Kumar Pattnaik