The development of wind generator dynamic model is of great interest nowadays. This manuscript presents the nonlinear characteristics of wind-generator system based on the squirrel cage rotor. The ...dynamic system becomes unstable due to uncertainty of wind speed circumstances. Therefore, a complete dynamic wind-generator modeling is carried out through the feedback control techniques, which plays a significant role in power system stability and control. The proposed control model consists of a 3-phase squirrel cage induction generator and implemented in the MATLAB software for the simulation in order to regulate the output parameters of the wind-turbine system. However, the proposed control design process has broadened prospectus of applications and developments. However, the simulation output response of proposed system yields a satisfactory performance.
This manuscript presents the modeling and control design for a variable speed wind energy conversion system (VS-WECS). This control scheme is based on three-phase squirrel cage induction generator ...driven by a horizontal-axis wind turbine through the overhead transmission network. In this manuscript, a static VAR compensator is proposed and connected with the squirrel cage induction generator terminals in order to regulate the system parameters, such as voltage, power. Through the pitch angle, the mechanical power was controlled through Simulink (Matlab) software. From the simulation results, the response of the proposed system offers good robustness and fast recovery under various dynamic system disturbances.
One of the most widespread diseases among women is breast cancer. Almost 20% of women across the globe are suffering from this deadly dangerous disease (DDD). The death ratio of women suffering from ...DDD is around 55%. Nowadays, this disease is prevalent among women. Detection and timing of the detection of this disease are critical during the phase of treatment and rehabilitation. Early-stage detection of this disease results in recovery, whereas if the condition is detected after some time, it causes severe damage. Its detection is not an easy task as sometimes the machines used for the detection do not prove to be as accurate as they could be. Techniques like thermography and computer-aided diagnosis (CAD) are used to detect this DDD. Nowadays, a lot of work is being carried out on ways that could help accurately detect this DDD. To accurately detect this disease, different types of machine learning (ML) techniques and their algorithms are carried out to develop the tools that could help doctors diagnose this DDD efficiently. In this paper, the most popular and common types of ML techniques to diagnose this disease are discussed and their accuracy is improved. K Nearest Neighbours (KNN), Random Forest (RF), Decision Tree (DT), and XG Boost machine learning techniques are used to train and test the data. The accuracy of the disease diagnosis is increased with the training and testing of the dataset.
Background: Chronic ankle sprains can be effectively treated with either thrust manipulation or non-thrust mobilisation of the ankle joint, according to a number of studies. On the other hand, it is ...unknown if thrust manipulation or non-thrust mobilization is superior to other techniques in terms of improving clinical and functional outcomes. Comparison of the pain-relieving benefits of thrust manipulation versus non-thrust mobilization was the primary objective of this study, which was conducted on athletes with chronic ankle sprains. Methodology: It was a randomized control trial. The study was completed from May 2021 to Jan 2022 and it was conducted at Pakistan sports board and Model town football club, Lahore. Purposive sampling techniques was used to collect the data as per inclusion criteria the participant age between 16 to 40 years males. Screening was carried out of 30 participants, 20 fulfilled the inclusion criteria and 16 finally gave written consent for enrollment in the study. All the participants were placed into two groups by sealed envelope method. In group A high-velocity manual intervention was given at proximal and distal tibiofibular joint, and distraction thrust manipulation technique at talo-crural joint.
Due to the increased consumption of the fossil fuels the reserves of fossil fuels are decreasing day by day. Keeping this fact world is shifting to the clean and renewable energy resources to produce ...electricity. The current operational devices are operated on an alternating current (AC) voltage. A large amount of the energy collected from the renewable energy sources is in the direct current (DC) form. A DC to AC conversion requires proper operation of the inverter. The main objective of this research paper is to analyze the behavior of two level and three level QZS inverter for the processes of the energy conversion during the normal and faulty condition. A new filter is also designed to minimize the effects of the harmonics during normal and faulty conditions.
In this paper, the conventional three-level diode-neutral-point-clamping (3L-DNPC) inverter is deeply investigated from the view of power loss. It is concluded that the conventional 3L-DNPC inverter ...has high zero-vector conduction loss due to clamping Diode+ IGBT structure's high on-state voltage, high clamping diode reverse recovery loss and so on. Therefore, the clamping diodes are most deeply related to 3L-DNPC's efficiency. Based on this recognition, a novel CoolMosfet clamping three level neutral-point-clamping (3L-CNPC) inverter is proposed, where CoolMosfet is used as the clamping diodes. In this way, the clamping diodes' reverse recovery power losses are eliminated. More important, the new CoolMosfet + CoolMosfet // CoolMosfet + CoolMosfet parallel structure current path can soundly reduce the zero vectors on state power loss. Finally, a transformerless solar inverter using the proposed topology is evaluated, including the key issues such as the cost and leakage current.
Agriculture is an important source of human food. However, current agricultural practices need modernizing and strengthening to fulfill the increasing food requirements of the growing worldwide ...population. Genome editing (GE) technology has been used to produce plants with improved yields and nutritional value as well as with higher resilience to herbicides, insects, and diseases. Several GE tools have been developed recently, including clustered regularly interspaced short palindromic repeats (CRISPR) with nucleases, a customizable and successful method. The main steps of the GE process involve introducing transgenes or CRISPR into plants via specific gene delivery systems. However, GE tools have certain limitations, including time-consuming and complicated protocols, potential tissue damage, DNA incorporation in the host genome, and low transformation efficiency. To overcome these issues, nanotechnology has emerged as a groundbreaking and modern technique. Nanoparticle-mediated gene delivery is superior to conventional biomolecular approaches because it enhances the transformation efficiency for both temporal (transient) and permanent (stable) genetic modifications in various plant species. However, with the discoveries of various advanced technologies, certain challenges in developing a short-term breeding strategy in plants remain. Thus, in this review, nanobased delivery systems and plant genetic engineering challenges are discussed in detail. Moreover, we have suggested an effective method to hasten crop improvement programs by combining current technologies, such as speed breeding and CRISPR/Cas, with nanotechnology. The overall aim of this review is to provide a detailed overview of nanotechnology-based CRISPR techniques for plant transformation and suggest applications for possible crop enhancement.
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