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Electromagnetic torque in interior permanent magnet machines is a function of their inductances and permanent magnet (PM) flux linkages, which are assumed sinusoidal in the standard dq model of the machine. This assumption is flawed when a fractional-slot concentrated-wound stator is utilized, because its nonsinusoidal winding function leads to harmonics in the machine parameters. In order to address...
Everything in this universe is, to some extent, nonlinear in nature. For certain parameter values, a nonlinear dynamical system exhibits erratic behavior called chaos. In this paper, a novel yet simple method is presented for implementing nonlinear systems using operational amplifiers (op-amps) based circuits like integrators and subtractors. The non-linear function sin2 (x) has been written in terms...
Partial shading condition (PSC) is the most serious concern of a photovoltaic (PV) system as it pointedly decreases the proficiency of PV system. The PV system generates numerous peaks in its output power characteristics curve under PSC. To track a global maximum power point (GMPP) with-in a suitable time limit, a consistent method is thus required. For achieving high performance, enhanced convergence...
We demonstrate the standard approach of Maximum Likelihood Estimation (MLE) for practicability of Grassmann Angular Central Gaussian (GACG) distribution by using Grassmann manifold. Our main concern is then on the applicability of GACG for computer vision application e.g., classification on arbitrarily high dimensional Grassmannian space. We show by numerical experiments that the implementation of...
Our focus in this work is on the practical applicability of matrix variate Fisher-Bingham model for statistical inferences via Maximum Likelihood Estimation (MLE) technique using simple Bayesian classifier. The practicability of such parametric models on high dimensional data (e.g., via manifold valued data) remained a big hurdle since long i.e., mainly due to the difficult normalising constant naturally...
In this paper we focus on Maximum Likelihood Estimation (MLE) technique for classification on Grassmann manifolds using matrix variate Bingham density function. Unlike the conventional techniques for multivariate distributions in the existing literature e.g., Markov chain Monte Carlo (MCMC) sampling methods, non-parametric methods, Expectation Maximisation (EM) iterative methods or exact methods,...
Our main focus in this paper is on the matrix-variate Fisher distribution for the product case of Stiefel manifolds and perform density estimation or classification via straightforward way of Maximum Likelihood Estimation (MLE) of parameter. The novelty of our proposed method is its strict dependency on normalisation constant appearing in parametric models, i.e., we have implemented our proposed matrix...
Applicability of the standard Maximum Likelihood Estimation technique for utilising parametric models to real World applications has been a real hurdle due to the difficult calculation of normalising constant since decades. The aim of this paper is therefore to fill some gape by demonstrating a simple Maximum Likelihood Estimation (MLE) technique for classification on Grassmann manifolds sing the...
Wireless power transfer (WPT) consists of three major parts namely transmitter, medium and receiver. In WPT system, input power is fed to the source where it transmits and propagates via coils and delivered to the load side. For an efficient operation of the WPT system, it is important to have a good power efficiency mechanism from the input to the transmitter coil. In this paper, a simulated design...
Matrix manifolds such as Stiefel and Grassmann manifolds have been widely used in modern computer vision. This paper is concerned with the problem of classifying such manifold-valued data, based on the maximum likelihood estimation for the parametric probability density functions defined on the manifolds. By using a new way of computing normalisation constants for the matrix Langevin distribution...
The trend and need of shifting towards renewable energy sources for electricity generation, has attracted researchers towards photovoltaic (PV) systems for last few decades. Since PV generator has nonlinear behavior, and its output power is a function of solar irradiance and ambient temperature, therefore need of developing maximum power point tracking (MPPT) techniques remains the interest. Among...
Apache Hadoop is one of the open source frameworks to process big data. Despite the huge success of Hadoop, it lacks in addressing many of the significant real world problems. And the inability to handle data dependencies efficiently is one of the major issues among those. This paper highlights the data dependency issue in Hadoop framework. This is done using a newly developed MapReduce based segmentation...
In this paper, we address the challenge of autonomous cell outage detection (COD) in Self-Organizing Networks (SON). COD is a pre-requisite to trigger fully automated self-healing recovery actions following cell outages or network failures. A special case of cell outage, referred to as Sleeping Cell (SC) remains particularly challenging to detect in state-of-the-art SON, since it triggers no alarms...
Smart Grids network in conjunction with incentive based demand response programs have forced the policy makers and power supplying agencies to prioritize initiatives for future developments in a liberalized power market. To fully augment the demand side participation, during emergency or peak hours, has put the wholesale dealers, retailers and utilities in a difficult position. This article provides...
The parameter sensitivity is a major cause of AC drives to stop working optimally. This paper looks into fractional order controller for Interior Permanent Magnet motors. The interior permanent magnet motors have become more demanding in hybrid vehicles, for which the parameter (resistance, inductance, magnetization of permanent magnets) drift is a common cause of degradation of drive due to rise...
Wireless sensor networks (WSNs) provide a cost-effective platform for monitoring phenomena of interest at fine spatial and temporal resolutions. In this paper, we consider the application of monitoring power usage in an office environment at the resolution of individual users. A key challenge in this context is how to extract meaningful profiles of user behaviour in the large volume of monitoring...
Paper presents the ways of modeling and analysis of exactly linearized permanent magnet synchronous generator (PMSG) coupled with boast chopper in wind generation systems. The primary focus of this paper is to use state of art approach for linearizing nonlinear model and to obtain control law. Exact feedback linearization via state feedback algorithm is the basic scheme that has been derived for the...
A general analytical compliance model is presented for symmetric flexure hinges formed of serial segments of known compliances and with thicknesses defined analytically. Serial combination, mirroring, and translation of individual segments yield the flexure compliances. As an illustration, the compliances of a right elliptical corner-filleted flexure hinge are studied. For an aluminum sample with...
Wireless cellular communication networks is undergoing a transition from being a simply optional voice communication to becoming a necessity in our everyday lives. In order to ensure uninterrupted high Quality of Experience for subscribers, network operators must ensure 100% reliability of their networks without any discontinuity either for planned maintenance or breakdown. This paper demonstrates...
With progressing CMOS technology miniaturization, the leakage power consumption starts to dominate the dynamic power consumption. The recent technology trends have equipped the modern embedded processors with the several sleep states and reduced their overhead (energy/time) of the sleep transition. The dynamic voltage frequency scaling (DVFS) potential to save energy is diminishing due to efficient...
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