By Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty
Advanced Computing, Networking and Informatics are 3 exact and at the same time particular disciplines of information with out obvious sharing/overlap between them. in spite of the fact that, their convergence is saw in lots of actual global purposes, together with cyber-security, web banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two-volume complaints discover the mixed use of complex Computing and Informatics within the subsequent iteration instant networks and protection, sign and photo processing, ontology and human-computer interfaces (HCI). the 2 volumes jointly comprise 148 scholarly papers, that have been authorized for presentation from over 640 submissions within the second overseas convention on complex Computing, Networking and Informatics, 2014, held in Kolkata, India in the course of June 24-26, 2014. the 1st quantity comprises leading edge computing recommendations and appropriate study ends up in informatics with selective purposes in development reputation, signal/image processing and HCI. the second one quantity however demonstrates the prospective scope of the computing recommendations and informatics in instant communications, networking and security.
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Extra info for Advanced Computing, Networking and Informatics- Volume 1: Advanced Computing and Informatics Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014)
Journal of Chinese Inertial Technology 16(3), 253–264 (2008) 5. : Optimal Filtering. , Englewood Cliffs (1979) 6. : A unified mathematical framework for strapdown algorithm design. J. Guid. Contr. Dyn. 29, 237–249 (2006) 7. : Coarse alignment of a ship’s strapdown inertial attitude reference system using velocity loci. IEEE Transcript Instrumentation Measurement (2011) 8. : A Ground Fine Alignment of Strapdown INS under a Vibrating Base. J. Navigation 1, 1–15 (2013) 9. : Optimization-based alignment for inertial navigation systems: Theory and algorithm.
This is because of small magnitude of the loss tangent with respect to unity. However, the amplitude of the transmitted field is attenuated because of the transmission loss through the dielectric mediums. Fig. 2. Transmitted field through ‘dielectric wedge followed by a dielectric slab’, with glass [15, 16] 14 S. Soni, B. S. Rao The TD results for the transmitted field for both the polarizations are in excellent agreement with corresponding IFFT of exact FD results, thus providing validation to the proposed TD solution.
Feed-forward ANC” and “feedback ANC”. In feedback ANC method a controller is used to modify the response of the system. K. Kundu et al. 1007/978-3-319-07353-8_4, © Springer International Publishing Switzerland 2014 25 26 A. Kar et al. adaptively calculate the signal that cancels the noise. In this paper “feed-forward ANC” approach is implemented to cancel the noise with the help of FxLMS algorithm. This is because the amount of noise reduction achieved by feed-forward ANC system is more than that of feedback ANC system.
Advanced Computing, Networking and Informatics- Volume 1: Advanced Computing and Informatics Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014) by Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty