Abstract The transmission line is the main component in power system consisting of inductance, capacitance, and resistance. These parameters are important during design. This research work applies a novel optimisation technique, grey wolf (GWO), to calculate overhead parameter. best optimal value estimated with control variables. Furthermore, effect different bundle conductors, that is, two, three, four radius, spacing between conductors on also analysed. GWO recently developed...

Single Image Super-resolution (SISR) produces high-resolution images with fine spatial resolutions from aremotely sensed image low resolution. Recently, deep learning and generative adversarial networks(GANs) have made breakthroughs for the challenging task of single super-resolution (SISR). However, thegenerated still suffers undesirable artifacts such as, absence texture-feature representationand high-frequency information. We propose a frequency domain-based spatio-temporal remote...

This research proposes a new hybrid algorithm for automatic removal of eye blink artifact from EEG data based on empirical mode decomposition (EMD) and canonical correlation analysis (CCA). The validity efficiency the proposed is evaluated using coefficient signal-to-artifact ratio (SAR) also compared with other popular techniques (CCA, ICA, EMD-ICA) simulated two channels. From simulation results, average coefficients channels are obtained as 0.908 0.864 respectively. SAR signal improved...

Abstract The overhead power line is used for the transmission and distribution of electrical across long distances. It consists multiple conductors mounted on poles or towers. parameters lines (TLs) are dependent upon certain factors that associated with bundle conductors. This research work uses a whale optimization algorithm (WOA) to calculate AC TL parameters. proposed technique applied single‐phase three‐phase TLs. can be observed within an TL, change in one parameter will cause...

Abstract The object identification within an image captured during rough weather conditions (such as haze, fog) poses difficulty due to the reduction of image. lead not only variation image's visual effect but also disadvantage post‐processing Furthermore, it causes inconvenience all types instruments that rely on optical imaging, such satellite remote‐sensing systems, aerial photo outdoor monitoring and respectively. Hence, improvement restorement effects enhanced are needed. This research...

The transmission line is the backbone of power system. A transmission-line working principle based on its components: inductance, capacitance, and resistance. These components are important in operation, designing lines as voltage drop depends these components. In this research work, flux linkage technique has been proposed to calculate line's parameters. conductor's resistance a vital role calculating losses line. capacitance inductance formed due magnetic field conductor. For precise...

A new technique based on Singular Value Decomposition (SVD) for the detection of epileptic seizures is proposed. The SVD applied sequentially a sliding window one second width EEG data and r singular values are obtained used to indicate sudden changes in signals. recordings 4-paediatric patients with 20 validate proposed algorithm preliminary results indicates good level sensitivity by signals due seizure. This can be develop more reliable seizure detector than existing techniques.

In populated areas, underground cables are using for Electrical distribution and transmission purposes, due to this, have more advantages than overhead line during abnormal weather condition including rain, thunderstorm. But calculation determination of the exact position fault location occur, been a significant challenge in underground. this paper, different techniques like Sectionalizing, thumper, time domain reflectometry MATLAB simulation technique-based reusing determining cable systems...

The localization of active sources inside the brain is termed as source localization. However, when neuroimaging technique EEG, then it specifically EEG This problem also referred to inverse problem. defined by forward and For problem, head modelling carried out using either analytical methods or numerical techniques such finite element method (FEM), boundary (BEM) difference (FDM). information further used localize regions estimating current density various algorithms. research discusses...

In this paper, we conducted time domain analysis on EMG signals for the development of neuromuscular disorder classification algorithm based Support Vector Machine (SVM). The type data considered are from a healthy individual, one individual with neuropathy and myopathy condition. extracted feature comprises statistical features namely mean, mean absolute deviation, standard interquartile range, energy, coefficient variation Auto-Regressive (AR) model. then ranked using ReliefF in order to...

ABSTRACT Electroencephalography (EEG) is widely used in variety of research and clinical applications which includes the localization active brain sources. Brain source provides useful information to understand brain's behavior cognitive analysis. Various algorithms have been developed determine exact locations sources due electromagnetic activity generated brain. These are based on digital filtering, 3D imaging, array signal processing Bayesian approaches. According spatial resolution...

Finite Element Method (FEM) is a numerical tool usually used to solve various problems related electromagnetic field, biomechanics, stress analysis etc. In this paper, the finite element proposed as solution localization problem of active sources inside brain. This termed EEG Inverse problem. The inverse with less error, high resolution and computational complexity leads better understanding human brain behavior helps neurologist neurosurgeons in curing neurological disorders. implementation...

The localization of brain sources due to which neural signals are generated is known as source localization. These measured by various neuroimaging techniques such MRI, EEG, PET and MEG. Nevertheless, when the technique then it specifically termed EEG This problem also referred inverse problem. defined forward Because ill-posed nature problem, there exists uncertainty in solution. solution can be reduced imparting prior information within a Bayesian framework. Hence, provides some...

Abstract Localizing brain neural activity using electroencephalography (EEG) neuroimaging technique is getting increasing response from neuroscience researchers and medical community. It due to the fact that source localization has a variety of applications for diagnoses various disorders. This problem ill‐posed in nature because an infinite number configurations can produce same potential at head surface. Recently, new based on Bayesian framework, called multiple sparse priors (MSP), was...

The brain is the most complex organ of human body with millions connections and activations. electromagnetic signals are generated inside due to a mental or physical task performed. These excite bunch neurons within particular lobe depending upon nature To localize this activity, certain machine learning (ML) techniques in conjunction neuroimaging technique (M/EEG, fMRI, PET) developed. Different ML provided literature for source localization. Among them, common are: minimum norm estimation...