Titlebook: Intelligent Systems Technologies and Applications; Sabu M. Thampi,Sushmita Mitra,Stefano Berretti Conference proceedings 2018 Springer Int

预感

Shekhar Pandey,Supriya M,Abhilash Shrivastava Among those of Robert on which is much in the Connelly rigidity, very spirit R. and in - of these notes (cf. Connelly, Conjectures questions open International of Mathematicians, H- of gidity,978-3-540-51497-8978-3-540-39482-2Series ISSN 0075-8434 Series E-ISSN 1617-9692

PARA

V. S. Anoop,S. Asharaf,P. Deepakonnelly on rigidity, which is very much in the spirit of these notes (cf. R. Connelly, Conjectures and open questions in ri­ gidity, Proceedings of Internationa978-3-662-21563-0Series ISSN 0075-8434 Series E-ISSN 1617-9692

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cancer

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avarice

An Energy-Efficient Fuzzy Based Data Fusion and Tree Based Clustering Algorithm for Wireless Sensorbjectives of the proposed cluster algorithm are two folded. Firstly, it constructs the clusters and chooses the cluster head (CH) by considering the remaining energy in the nodes and its distance from the base station (BS). Secondly, it performs the data fusion which contains meaningful information

柱廊

Biologically-Inspired Foraging Decision Making in Distributed Cognitive Radio Networks, methods that can achieve optimal spectrum management. Hence, this paper presents a biologically-inspired optimal foraging model for dynamic reconfiguration of frequency and channel bandwidth in a distributed cognitive mobile adhoc network. One of the main advantages of biologically-inspired foragin

Barter

Efficient Algorithms for Hotspot Problem in Wireless Sensor Networks: Gravitational Search AlgorithWe design an algorithm for CH selection based on GSA and assign the remaining SNs to the CHs based on another derived cost function. Then, a GSA based routing algorithm is presented with respect to the routing cost function. These algorithms are intended to develop to enhance the lifetime of network

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Analysis of AES-GCM Cipher Suites in TLS,e in smart devices like tablets it causes performance issues in smart devices using TLS 1.2 protocol. If the smart device does not possess AES-NI, it can use software for running AES-GCM but it takes a lot of time for encryption/decryption of information, ergo causing the battery performance in smar