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DC/AC microgrid is independent control grid form of integrate distributed energy systems with utility powers systems; will powerfully understand the value and profit of the distributed energy resources. In this paper, the AC/DC micro-grid mostly contains of six parts: a solar source (P V source), Wind source, a Boost converter, BESS, a Buck-Boost converter (bidirectional), and a bi-directional DC/AC...
Urban change detection is an important part of monitoring operations and disaster relief efforts. However, often sufficient ground truth data is not available to use traditional supervised machine learning techniques. In this paper, a novel Deep Learning based weakly-supervised framework for urban change detection using multi-temporal polarimetric SAR data is proposed. A modified unsupervised stacked...
Synthetic aperture radar (SAR) has shown promising results in characterizing different crops. Multi-temporal SAR data is often useful for studying the sensitivity of the electromagnetic (EM) waves to the structural and the dielectric variation of both crops and the underlying soil at different phenological stages. Physical information about crops and soil can be interpreted in terms of scattering...
Change detection in large urban areas is an application with increasing relevance. In this domain, Polarimetric SAR (PolSAR) sensors are receiving more attention recently. The enhanced polarimetric information provides useful features which can describe multi-temporal changes. In this work, we aim at introducing an approach for unsupervised change detection with focus on built-up areas that relies...
In this paper we use a Deep Neural Network (DNN) trained on data collected from the visual media-sharing social platform Instagram account of a popular Indian lifestyle magazine to predict the popularity of future posts. This predicted popularity of the post can be used to decide advertising rates and measure performance metrics important for publishing strategy decisions. The DNN primarily uses growth...
A basic approach for grid connected DC/AC microgrid modeling using photovoltaic (PV) panels and Energy storage units accessible in this document. The system consists of a two stage power conversion. Solar PV supplies power for both DC and AC loads. Manufacturer datasheet is used for modeling the PV panel that could help to give a suitable way for the researchers to explore the PV generation issues...
Pulsed Electromagnetic Field is used to stimulate the human nervous system for several therapeutic purposes like pain relief and bone healing. These electrical stimulations are directly applied on the body through the cutaneous layer. Transcutaneous Electrical Nerve Stimulation (TENS) pain relief, a variant of PEMF is very popular in healthcare institutions all over the world. However, with growing...
Hand movement recognition from electromyogram (EMG) signals is a crucial element for design of electrically controlled limb prostheses and for developing human computer interfaces (HCIs). The study focuses on extraction of significant features from raw EMG signals corresponding to six different grasping hand movements and then using them to classify the respective hand movements using different classifiers...
This paper presents a three-level ZSI for photovoltaic (PV) application to achieve single stage buck-boost (as per the solar variation). A single LC impedance network is used between DC voltage source (including PV array and a bidirectional buck-boost system) and neutral-point clamped (NPC) inverter. Alternative phase opposition and disposition (APOD) modulation technique with proper triplen offset...
“Power Quality (PQ)” is used to describe the electrical phenomenon manifested in terms of variations in current, voltage and/or frequency that produce undesirable effects in the power system. This paper presents a reduced DC-link voltage rated Unified Power Quality Conditioner (UPQC) which eliminates current and voltage harmonics in a distribution network thereby improving the quality of power. Series...
This paper presents a simplified control algorithm for permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS) connected to a three phase resistive load through direct matrix converter (DMC) based solid state transformer (SST) with bidirectional buck boost battery energy storage system (BESS) for constant active power delivery to load. The power from WECS is processed...
ECG is susceptible to parasitic myopulses due to the overlapping frequency bandwidth of ECG and EMG. EMG signal has a bandwidth of about 20–500 Hz and overlaps with the ECG frequency range. i.e. 0.05–150 Hz. These interferences occur due to movement of muscles and respiratory actions during ECG recording. Removal of EMG noise from ECG is an important criterion for proper analysis of the signal. In...
Extraction of polarimetric information from SAR data is one of the most important issues in SAR applications. Since fully polarimetric SAR data and model-based scattering power decomposition are now available, its real utilization becomes important topic. In this presentation, some data sets from PiSAR-L2, ALOS, ALOS-2 systems are shown using the existing model-based scattering power decompositions...
This paper proposes an iterative unsupervised Markov Random Field (MRF) based segmentation technique for polarimetric Synthetic Aperture Radar (SAR) image using the optimized scattering mechanism similarity parameters. Parameter estimation for the MRF model is generally performed from the available training data in order to perform tasks including semantic image segmentation. Since the current scenario...
In this paper, we propose an effective wet snow mapping method with focus on the incident angle of microwave. Surface scattering is dominant for both wet snow and bare ground. However, it is expected that the characteristic of the wet snow scattering is different from the bare ground one according to the variation of dielectric constant. At the same time, surface scattering characteristics, especially...
We analyzed the surface elevation change and geodetic mass change of Gangotri glacier, over the period 2011 and 2013, utilizing high horizontal and vertical resolution topographic data, acquired by bistatic radar interferometry of the TanDEM-X/TerraSAR-X satellite formation. Short term investigation of surface elevation change of glaciers at reasonably good accuracy is possible by using multi temporal...
This paper proposes a novel topology for voltage and frequency regulation of wind energy conversion systems (WECS) equipped with Permanent Magnet Synchronous Generators (PMSG) using Direct Matrix Converter (DMC) based Solid State Transformer (SST). The venturini algorithm along with voltage oriented vector control (VOC) method is applied for regulating the WECS power also known as Power Regulation...
The following paper proposes a topology for reactive power compensation and harmonic reduction for medium voltage three phase three wire systems during unbalanced load conditions. Main three phase inverter produces harmonic compensation. Three single phase inverters connected in series with the three phase inverter for separate compensation of reactive power in three different phases are present....
The urban classification of PolSAR images is made difficult by the characteristic of a rotated target to exhibit volume scattering. In this paper we use a deep learning technique in conjunction with some statistical parameters to learn to classify urban areas irrespective of the rotation. The learning algorithm was trained to differentiate urban from non-urban areas and was able to achieve a 8.5834%...
In this paper, direct matrix converter (DMC) based wind energy systems equipped with Permanent Magnet Synchronous Generators (PMSG) is proposed. To extract the maximum available power from the wind, the Matrix Converter (MC) is controlled using the venturini based algorithm together with the voltage oriented vector control (VOC) scheme to regulate active and reactive power (Power Regulation Technique)...
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