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Titlebook: Inventive Computation Technologies; S. Smys,Robert Bestak,Álvaro Rocha Conference proceedings 2020 Springer Nature Switzerland AG 2020 Con

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A Comprehensive Analysis of the Most Common Hard Clustering Algorithms,grouped as hard and soft clustering. Hard clustering methods assign the sample point to a specific cluster whereas soft clustering methods give a probability of assignment to all clusters. In this paper, we have tried to give intuition to some of the popular hard clustering methods with their associated algorithms.
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T. L. Pooja,M. Supreethar autonomous electronic systems design.Includes supplementarKinetic energy harvesting converts movement or vibrations into electrical energy, enables battery free operation of wireless sensors and autonomous devices and facilitates their placement in locations where replacing a battery is not feasib
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P. Ramya,R. S. Valarmathi,C. Poongodi,P. Hamsagayathrid from the energy harvester is considered. The harvesting device is a piezoceramic element in a stack configuration, which scavenges mechanical energy emanating from a 1D-sinusoidal-base excitation. The device is connected to a harvesting circuit, which employs an inductor and a resistive load. This
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Binu P. Kumar,M. Nirmala Deviapproaches are divided here into two sections as lumped parameter modeling and distributed parameter modeling. The first section discusses the amplitude-wise correction of the existing lumped parameter piezoelectric energy harvester model for base excitation. For cantilevers operating in the transve
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Aditya Vardhan,Priyanshu Sarmah,Arunav Dass, vibration harvesting device design using bulk and MEMS approach, and energy harvesting circuits. All these characteristics are illustrated through selective examples. A simple step-by-step procedure is presented to design the cantilever beam based energy harvester by incorporating piezoelectric m
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