Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Murang’a University of Technology, Murang’a, Kenya., Thomas Nyajowi, Nicholas O. Oyie
et al.
Vandalism is an illegal act of cannibalism or change of face to a private or public property by human beings for re-sale of parts or to punish the property owner. Initial research findings on transformer Vandalism detection have fallen short of human image recognition of the vandal in real-time but only does detection of activities after the damage is done or as it occurs. Automated real-time systems using sensor feed to a trained deep learning model is a new transformer vandalism detection approach with capabilities of three-dimensional image learning, extracting important image features automatically and temporal output prediction. This paper aims at distinguishing the human object entering a zoned transformer area without permission to take away or modify the established infrastructure, so that the Vandal can be arrested before causing any damage to the transformer. The researchers identified a multiplicative hybrid model combining convolutional neural networks and long short-term memory for application to vandalism problem to detect the image of a vandal as it enters a restricted transformer installation site. The image recognition accuracy can be improved by tuning the model hyper-parameters and the specific hyper-parameters considered in this research work are number of model layers and epochs. The human object is distinguishing by applying the image features taken with Image sensor to a trained deep learning model. The hybrid deep learning method increases the output prediction accuracy from the input data and lowers computational processing complications due to a reduced data volume through pooling. The system is trained and validated using ImageNet dataset. Results achieved by five layers and sixty epochs is 99% recognition accuracy. The performance of the system with an increased number of layers and epochs to five and sixty respectively was the best result as compared with lower layers and epochs. Further increase of these parameters resulted to system overfitting.
Assistant Professor, Department of Electrical & Electronics Engineering, Jyothishmathi Institute of Technology & Science, Nustulapur, Karimnagar, TS, India, Satish Chindam, Kavya Sri Nedunoori
et al.
n a renewable energy system, the major task to maintain the voltage regulation of the system and other hands improvement of system stability. A proposed new STATCOM with advanced control technique are introduced in this paper. It is to mitigate the bus voltage variations caused by the large disturbances. A proposed STATCOM consists of voltage regulator and current regulator. Here, the current regulator is to produce the phase angle of voltage source converter, while the voltage regulator outputs the current reference on the quadrature axis of the devices. The voltage and current regulator parameters are treated as a membership function. This membership functions involving by dual fuzzy algorithm (Type-2 Fuzzy controller) which reduces the voltage regulation caused by large disturbances. The proposed controller obtains the faster and more stable responses so that the reactive power required by the proposed method is to stabilize the voltage. Keywords: STATCOM, Type II Fuzzy Set, Particle Swarm Optimization (PSO)
Rouhollah Bolbolnia, Department of Electrical and Computer Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Karim Abbaszadeh
et al.
SEEMA, Department of Electrical and Electronics Engineering, S.D.M. College of Engineering and Technology, Dharwad, Karnataka, India, S. G. ANKALIKI
et al.
Research Scholar, VTU & Assistant Professor, Electrical & Electronics Engineering Department, NIE Institute of Technology, Mysuru, India., Sandeep Kumar K J*, Lokesh M
et al.
Distributed Generation (DG) is small capacity generating units directly associated to the distributed system. With the penetration of distributed generators nearby the consumer load center support to the distribution system will be enhanced. The Distributed Generation involves both Renewable & sustainable sources of energy to engender power in order to appease the ever increasing energy requirement. Suitable location and capacity of DG units will benefit the achievement of active power system network. The voltage profile and Real power line loss and Reactive power line loss reduction can also be improved with suitable location and allocation of DG. This work proposes a new Simulation method for the placement of fixed Size Diesel Generator in IEEE 12 bus radial distribution system stationed on Voltage stability index and Transmission line losses. This index is progressed by acknowledging steady state node voltages cited in Per Unit.
Division of Computer and Information Science, Annamalai University, Annamalainagar, India., C. Ananth, M. Karthikeyan
et al.
An effective multiple watermarking technique supported on neural network into the wavelet transform can be proposed. The wavelet coefficients has been preferred by Human Visual System. In the proposed work focus on Discrete Wavelet Transform based segmented image watermarking techniques using Back-Propagation neural networks. Using improved BPNN, the multiple watermarks are embedded into the original image, which can advance the pace of the learn, reduce the error and the qualified neural networks are extricate multiple watermarks as of the embedded images. The planned strategy achieves a excellent visual effect scheduled the watermarked images as well as high robustness on extracted multiple watermarks.
Department of Electrical and Electronics Engineering, Noida Institute of Engineering and Technology, Anjali Gupta*, Rishi Singhal
et al.
In this work a PV (Photo Voltaic) array SEPIC fed single phase induction machine for water driving is demonstrated. A SEPIC employed to maintain continuous DC link voltage through governing duty cycle. A single phase induction motor drives the centrifugal water pump which is served by the output of the single phase inverter. Constant V/F SPWM (Sinusoidal Pulse Width Modulation) controls the single phase inverter. The variable solar irradiation obtains the performance of the proposed system. The SIMSCAPE and Sim Power System tool boxes is preferred for the MATLAB/SIMULINK environment for the modelling of water pumping system. The result of the system is examined and verified with simulation.
Meenakumari R., PG Student, Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology (Autonomous), Andhra Pradesh, India., K. Lokanadham
et al.
Department of Electrical and Electronics Engineering , Unnamalai Institute of Technology, Kovilpatti, Thoothukudi District, Tamilnadu, P Sivakami, P Subburaj
et al.
Dept. of Electrical & Electronics Engineering, DADI Institute of Engineering & Technology (DIET) , Anakapalli , Visakhapatnam, India, DVN Ananth, GV Nagesh Kumar
et al.