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In the present work, the design of controller for complete support of a rotor by Conical Active Magnetic Bearings (AMBs) is presented. These bearings eliminate the requirement of an axial AMB which results in reduction of cost and required mounting space. The presented controller is designed with the aim to reduce the requirement of exact system modelling. Fuzzy logic controller (FLC) satisfies this...
Millimeter Wave (mmWave) channel estimation can be treated as a sparse signal recovery problem due to the sparse multipath characteristics of the channel. Utilizing compressive sensing (CS) theory, sparse signal recovery algorithms can be designed for channel estimation. However, these algorithms are sensitive to impulse noise, and hence the estimation accuracy degrades under non Gaussian noise. In...
Side-channel attacks are a potent threat to the security of devices implementing cryptographic algorithms. Designing lightweight countermeasures against side-channel analysis that can run on resource constrained devices is a major challenge. One such lightweight countermeasure is shuffling, in which the designer randomly permutes the order of execution of potentially vulnerable operations. State of...
Chip Multiprocessor (CMP) and System-on-Chip (SoC) designs have a large number of modules with billions of transistors embedded on a single die. While they offer very high performance, they also increase the design complexity and pose many challenges with one of them being floor-planning and placement. Floor-planning process is affected by and in turn effects physical characteristics, wire length,...
Density of nodes deployed in WSNs is based on application requirements. The redundant data collection in dense network results in more energy consumption. The Data Routing In-Network Aggregation (DRINA) is one of the recent algorithm proposed to reduce energy consumption in dense network environment by minimizing the number of communications from source to sink. Here the Data transmission is carried...
Spatial clustering is a very important tool in the analysis of spatial data. In this paper, we propose a novel density based spatial clustering algorithm called K-DBSCAN with the main focus of identifying clusters of points with similar spatial density. This contrasts with many other approaches, whose main focus is spatial contiguity. The strength of K-DBSCAN lies in finding arbitrary shaped clusters...
A Mobile Adhoc Network (MANET) is a collection of mobile nodes connected by the Wireless medium and each mobile node is aware of only its neighbours. Due to mobility of these mobile nodes the topology changes dynamically. Such a dynamic network topology makes the task of routing a challenging one. Recently, a new class of routing algorithms based on Swarm Intelligence has emerged. These algorithms...
Significant effort has been devoted to designing clustering algorithms that are responsive to user feedback or that incor- porate prior domain knowledge in the form of constraints. However, users desire more expressive forms of interaction to influence clustering outcomes. In our experiences working with diverse application scientists, we have identified an interaction style scat- ter/gather clustering...
Data clustering is one of the powerful techniques for the knowledge discovery from data. In this paper, a novel approach for hierarchical clustering has been proposed over non-binary search space. Besides the agglomerative methods, the proposed algorithm has considered the Strength of Presence associated with each transaction, to yield quality clusters which are again more close to the real life situation...
Association Rule Induction and Clustering are some of the most useful data mining techniques. The former focuses on finding regularities in data trends, while the latter on discovering groups and identifying interesting distributions and patterns in the underlying data. Several research attempts have been made for the purpose of clustering transactions based on the binary data space. In this paper,...
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