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Now showing items 3103-3122 of 6365
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Low Temperature Charge Transport And Magnetic Properties Of MWNTs/MWNT-Polystyrene Composites
(2014-11-19)Carbon nanotubes (CNTs) have been recognized as potential candidates for mainstream device fabrication and technologies. CNTs have become a topic of interest worldwide due to their unique mechanical and electrical properties. ... -
A Low-Complexity Algorithm For Intrusion Detection In A PIR-Based Wireless Sensor Network
(2011-08-25)This thesis investigates the problem of detecting an intruder in the presence of clutter in a Passive Infra-Red (PIR) based Wireless Sensor Network (WSN). As one of the major objectives in a WSN is to maximize battery life, ... -
Low-Complexity Decoding and Construction of Space-Time Block Codes
(2018-04-11)Space-Time Block Coding is an efficient communication technique used in multiple-input multiple-output wireless systems. The complexity with which a Space-Time Block Code (STBC) can be decoded is important from an ... -
A Low-Complexity Intrusion Detection Algorithm For Surveillance Using PIR Sensors In A Wireless Sensor Network
(2011-07-12)A Wireless Sensor Network (WSN) is a dense network of autonomous devices (or motes) with sensors that cooperatively monitor some physical or environmental conditions. These devices are resource constrained -limited memory, ... -
Low-Complexity Receiver Algorithms in Large-Scale Multiuser MIMO Systems and Generalized Spatial Modulation
(2018-04-18)Multi-antenna wireless systems have become very popular due to their theoretically predicted higher spectral efficiencies and improved performance compared to single-antenna systems. Large-scale multiple-input multiple-output ... -
Low-Order Laminated Lock-Free Beam And Plate Elements Based On Coupled Displacement Field
(2007-10-23)This study aims to investigate the behaviour of low-order beam and plate elements especially for their application to laminated structures. The merits and dements of the existing elements are brought out and new low-order ... -
Low-PAPR, Low-delay, High-Rate Space-Time Block Codes From Orthogonal Designs
(2011-02-03)It is well known that communication systems employing multiple transmit and multiple receive antennas provide high data rates along with increased reliability. Some of the design criteria of the space-time block codes ... -
Lower Bound Finite Element Limit Analysis for Solving Different Planar and Axisymmetric Stability Problems in Soil and Rock Media
The finite element limit analysis (FELA), which utilizes the concept of finite elements and an optimization procedure, is a very powerful technique to find an accurate solution of different stability problems in geomechanics. ... -
Lower Bound Limit Analysis Applications For Solving Planar Stability Problems In Geomechanics
(2014-09-04)Limit analysis based upon the theory of plasticity is one of the very useful numerical techniques to determine the failure loads of different civil and mechanical engineering structures for a material following an associated ... -
Low–Speed Impact Mechanics and Fragmentation of Wooden Panels: Characterization of Indian Woods
Low–speed impact (LSI) of brittle structural panels by rigid bodies causes significant damage, evident in familiar scenarios like the breaking of monolithic and laminated glass panes due to stone pelting, punching a hole ... -
Lp-Asymptotics of Fourier Transform Of Fractal Measures
(2018-06-08)One of the basic questions in harmonic analysis is to study the decay properties of the Fourier transform of measures or distributions supported on thin sets in Rn. When the support is a smooth enough manifold, an almost ... -
LU-SGS Implicit Scheme For A Mesh-Less Euler Solver
(2014-10-10)Least Square Kinetic Upwind Method (LSKUM) belongs to the class of mesh-less method that solves compressible Euler equations of gas dynamics. LSKUM is kinetic theory based upwind scheme that operates on any cloud of points. ... -
Machine Learning Algorithms Using Classical And Quantum Photonics
ABSTRACT In the modern day , we are witnessing two complementary trends, exponential growth in data and shrinking of chip size. The Data is approaching to 44 zettabytes by 2020 and the chips are now available with 10nm ... -
Machine learning and density functional theory assisted insights into the mechanical and oxidation properties of nickel-based superalloys
Due to global warming and increasing fuel costs, there is a constant thrust toward increasing fuel efficiency and reducing the emissions of gas-turbine engines, which are made out of superalloys. New superalloy materials, ... -
Machine Learning and Rank Aggregation Methods for Gene Prioritization from Heterogeneous Data Sources
(2017-12-05)Gene prioritization involves ranking genes by possible relevance to a disease of interest. This is important in order to narrow down the set of genes to be investigated biologically, and over the years, several computational ... -
Machine Learning for Decoding Imagined words and Altered State of Consciousness from EEG
In the first part of the thesis, the results of our studies on the classification of phonological categories in imagined words are presented. We have investigated whether there are any statistically significant differences ... -
Macroscopic crowd flow and risk modelling in mass religious gathering
Understanding the principles and applications of crowd dynamics in mass gatherings is very important, specifically with respect to crowd risk analysis and crowd safety. Historical trends from India and other countries ... -
Macroscopic modelling of heterogeneous, disordered road traffic flow
The groundwork for much of the existing traffic flow theory was laid in the 1950s and 1960s by researchers from developed economies like the United States. The car-following modelling approach, which is arguably the most ...