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The synchronous reluctance motor (Sync-RM) is known for its higher reliability, faster dynamic response, higher efficiency, higher speed range, higher power density, and higher torque per ampere. Consequently, the scope of research into emerging Sync-RMs drive system has been extended. For different kinds of mechanical and electrical applications, motors are important components of any machine or tool. There are several types of motors available for various kinds of industrial applications, but the benefits of Sync-RM in medium- and low-power applications have eventually been very efficient compared to other motor types, regarding the factors such as high flux density per unit volume, high efficiency, requirements of low maintenance, and low electromagnetic obstruction. This research proposed a Sync-RM drive fed by a bridgeless LUO converter (BLLC) using the Glowworm Swarm Optimization (GSO) tuned proportional integral (PI) controller. High competence, higher power density, and a small structure of the motor drive are delivered by the PI-tuned converter. The output voltages are related to the Sync-RM motor of the proposed converter. Due to its minimum effort and modest development, the Sync-RM here is chosen for the drive. The proposed Sync-RM drive framework based on the LUO converter was evaluated by simulation using the Matlab/Simulink tool.

There is no reservation that semiconductor equipment distorted the world despite the fact of doing the practical experiments and also in research field. Researchers will communicate the process of semiconductor statistics with nearby pupils. In this work, diverse brand of semiconductor equipment was thrashed out with elementary properties and their distinctiveness. One type of semiconductor is differentiated based on energy band gap with an added type of semiconductor equipment. Semiconductor resources are the edifice block for the electrical and electronics component. This work makes an available apt generic argument of materials with the latest discussion and its impact of temperature on different materials, and it also reveals dissimilar parameters such as modern density, porch voltage value, transmission rate, and drain resistance value. Exceptional applications were discussed for divergent semiconductor materials.

The authors have requested that this preprint be removed from Research Square.

The authors have requested that this preprint be removed from Research Square.

Every shopping malls are bulk consumers, they are spending huge amount for their electricity bills in every month. Maximum demand also make a major part of electricity bills. The classic maximum demand controller will operate based on demand value and results on/off the non-critical loads. The non-critical loads are connected in single channel. In shopping malls parking area maximum plug in electrical vehicles are act as a major loads. The proposed Internet of Things based Maximum demand controller will operate the each plug in electrical vehicle sockets based on the State of charge. Proposed system results avoid unnecessary shut off of non critical loads like Air conditioner system. The exclusive microcontroller do all the functions.

A Quality electrical power supply must be available at all times, always within the frequency and magnitude tolerance limits, and always with a perfectly sinusoidal waveform. A reliable, efficient and safe power supply is essential for guaranteeing productivity and precision in any organisation. Energy cum safety audit helps in energy cost optimization, pollution control, safety aspects and suggest the method to improve the operating and maintenance. This paper presents preliminary results from a power quality and safety audit conducted at a industry building. Voltage and current were measured at various feeders; it was found that the main problems for the equipment installed were voltage sags, surges and more THD levels than normal levels. The paper examines the causes and effects of power disturbances that affect the printing machines and other microprocessor-based equipment and analyzes the auto-protection capabilities of modern power supplies. Finally it is addresses the role of the standards on the protection of electronic equipment and the implications for the final costumer. Then it continues with installation of filters on the load side continued with constant maintaining of earthing system inorder to maintain the flow of neutral current in the feeders. This will help to maintain the system stability, reduce the losses occurring due to the presence of THD and reduce the energy bill followed by reduction of EB bus burden. The audit report basically list the recommended electrical machinery safety measure to reduce the energy and maintenance cost.

The present paper work introduce a new concept of converter techniques, because this method is widely used in industries purpose. So, the present paper work mainly focuses on converter to design and simulation done in PSIM Software. The three different proposed topologies of DC-DC converters are Zeta converter, Sepic converter and Luo converter are designed and theoretical derivations taken place in this paper. Further various ripple performance factors included in this work to identify which converter is best for industries applications. The low ripple techniques will identify and the switching characteristics losses, efficiency will be find out for the proposed work. The three converters were simulated in PSIM Software and the various parameters were found out.

The sorts of converters are characterized into six ages as per the qualities and improvement process. This characterization reviews all DC/DC converters and classifies new models. Since 2001, the DC/DC converter has been fabricated and this order has perceived in everywhere throughout the world. Presently it is anything but difficult to sort and apportion DC/DC converters and evaluate their specialized highlights. DC/DC converters are basic in assortment of uses including power supplies, for example, individual/smart phones, telephones, office equipment's, rocket control frameworks, and media transmission equipment's, and also heavenly bodies where input/yield voltage ranges cover. PWM age is viewed as the more essential in the Converter plan and a few multicarrier strategies have been produced to diminish the mutilation in level converters in light of the established with triangular transporters [1] . A DC/DC converter is an electronic circuit which changes over a wellspring of direct present (DC) starting with one voltage level then onto the next. It is a class of energy converter.

A Human Machine Interface (HMI) is an application that permits the correspondence between a man and a machine. Surface Electromyogram (sEMG) is an electrophysiological sign that gives inalienable data about the exercises of the human skeletal muscle. This paper proposes an sEMG design acknowledgment framework to control the myoelectric hand framework utilizing sEMG for HMI with the assistance of neural systems. Six parametric element extraction calculations are applied to get the unmistakable data from sEMG, for example, AR (Autoregressive) Burg, AR Yule-Walker, AR Covariance, AR Modified Covariance, Levinson Durbin Recursion, and Linear Prediction Coefficient. The sEMG signals are demonstrated utilizing General Regression Neural Network (GRNN), Probabilistic Neural Network (PNN) and Radial Basis Function Neural Network (RBFNN). The reaction of the HMI framework has gotten normal mean arrangement exactness of 94.04% for AR Burg highlights utilizing RBFNN. From the outcomes, it is seen that AR Burg utilizing the Radial premise neural system outflanked different systems in arranging twelve distinctive finger developments and females control the framework simpler than guys. It is likewise apparent that the age bunch between 26 and 30 delivered better exhibitions.

Lightning is a well-known life-threatening natural phenomenon. The lightning not only threatens the life of humans and animals but also threatens the nominal operation of electrical and electronics devices. Therefore, appropriate lightning arresting mechanisms should be designed to arrest the lightning and its impact, including voltage and current surges in power systems. To design the lightning surge arresters, the characteristics of the lightning have to be studied, which are presented in this paper.

Glaucoma is the most common reason for permanent blindness and disability in the universe. Despite this, the vast majority of people are unaware that they have the infection, and detecting glaucoma progression with current technology continues to be a challenge in clinical research. The implementation of a machine-learning algorithm to the retinal fundus image gives a solution. In this research, 250 glaucomatous and 250 healthy retinal fundus images from the ACRIMA. For cleaning the data some pre-processing techniques are used. The feature extraction techniques such as Gray-Level Co-occurrence Matrix (GLCM), Gray Level Run-Length Matrix (GLRM), and Histogram of Oriented Gradients (HOG) are applied to the clean data. This process helps to retrieve beneficial information from the data. Finally, the retrieved features are taken as input to the machine learning classifier such as Support Vector Machine (SVM), Naive Bayes, K-Nearest Neighbor (K-NN), and Linear Discriminant Analysis (LDA) to construct the model. For assessment of feature extraction and classification, several performance metrics like accuracy, True and False Positive Rate (TPR/FPR), True and False Negative Rate (TNR/FNR), precision, and Performance Index (PI) are used. From the analysis, it is found that the GLCM feature extraction with the Naive Bayes model is the finest combination and it gives a 95% accuracy level.

The main objective of this paper is to monitor the power generated from the solar and from the wind turbines and to log the data to the cloud server in the graphical representation. The system has unique feature of power identification on any solar panel network or from any wind turbine network and reports the power generation unit regarding the power failure information via SMS services. Also, the system alerts the power generation regarding the critical or excessive load demand from the grid and alert the management through SMS notification

This paper proposes the hybrid vehicle power management system in order to efficiently use the peripherals available in the electric vehicle and to increase the mileage of vehicle. This project categorizes the peripherals available in the electric vehicle into three types which are mandatory, less priority peripherals and luxury peripheral devices. The system allows the user to enter the distance to be covered in single charge and according to the power availability the less priority peripheral is disabled in order to increase the mileage of the electric vehicle. Also, the electric vehicle is charged with the help of piezo electric crystal based on the vibration caused by the vehicle movement.

The main objective of this paper is the generation of renewable energy resource by all possibilities of power generation using our daily basis operation. In this project, the non-conventional energy resource like solar energy and the water motion in the water pipelines that connect to the water tanks is utilized in order to generate the electricity. Power is generated from solar, and water pipelines are utilized for domestic power consumption.