VOLUME 7, ISSUE 8, AUGUST 2019

Abstract: The demand for a reliable supply of electrical energy for the exigency of modern world has increased considerably requiring nearly a no-fault operation of power systems. Power transformers are very expensive and vital components of electric power systems. The crucial objective to mitigate the frequency and duration of unwanted outages related to power transformer puts a high demand on power transformer protective relays to operate effectively. The high demand includes the requirements of dependability associated with no false tripping, and operating speed with short fault detection and clearing time. The second harmonic restrain principle is widely used in industrial application for many years, which uses Discrete Fourier Transform (DFT). This principle often encounters some problems such as long restrain time and inability to discriminate internal fault from magnetizing inrush condition. Hence, Artificial Neural Network (ANN), which has the ability to mimic and automate knowledge, has been proposed for detection and classification of faults in this paper. The Wavelet Transforms (WT) which has the ability to extract information from transient signals in both time and frequency domain simultaneously is used for the analysis of power transformer transient phenomena. The conditions of power transformer to be analysed in a power system are modelled in MATLAB/SIMULINK environment and implemented using LabVIEW software.

Keywords: Power Transformer, Artificial Neural Network, Wavelet Transform, Current Transformer, LabVIEW

Abstract: Different color patterns of Quick Response (QR) codes, such as RGB, grayscale, and binary QR codes, are widely used in applications. In this paper, we propose a novel XOR-Based Visual Secret Sharing (VSS) scheme using grayscale QR codes as cover images and binary QR code as secret image. First, all the code words of the secret QR code image are encoded into temporary binary QR code images, which are substituted for the second significant bit planes of the grayscale QR code cover images to generate shares. Each share is a grayscale QR code image, which can be decoded by a standard QR code decoder, so that it may not attract the attention of potential attackers when distributed in the public channel. The secret image can be recovered by XORing the code words regions of QR codes which are extracted from the second significant bit planes of the grayscale shares. More importantly, the proposed scheme is robust to JPEG compression, addition of different noises, rotation, resizing, and cropping, which is useful in practice. The effectiveness and robustness of our scheme are shown by the experimental results. The application of QR code is suitable for wireless multimedia data security.

Keywords: QR Codes, (N, N) Threshold XOR-Based VSS, Visual Cryptography

Abstract: This paper contributions a fuzzy Logic Controller for Automatic Generation Control (AGC) is considered for both area like two-area hydro-thermal and four area non-reheat thermal power plant. In the modern power association, the AGC of both system has generally consumed in frequency control outstanding to taking the profligate comebacks. The model of hydro-thermal system and four area non-reheat thermal system with fuzzy is simulated in MATLAB/SIMULINK platform. The dynamic reactions of load frequency control by fuzzy and its related determined with PID controller for frequency management. The accomplishment of the projected fuzzy is better-quality the expectations of power system in provisions of settling time, peak undershoot time and peak overshoot time for two area hydro-thermal and four area relation of setting time and peak undershoot time is improved . Proposed Fuzzy Controller is better result offers as compared to PID for both area such as hydro-thermal power plant and four area power plant.

Keywords: Automatic Generation Control (AGC), Fuzzy Logic Controller, Load Frequency Control (LFC), PID Controller, Frequency Deviation, Hydro Power Plant, Thermal Power Plant

Abstract: The factors restricting the development of Wireless Sensor Networks (WSNs) included its cost, power consumption and safety.New block cipher algorithm in single byte for wireless sensor network with excellence of many cipher algorithms is studied. The child keys are generated through the developed d iscrete Logistic mapping, and the Feistel encrypting function with discrete chaos operation is constructed. The single byte block is encrypted and decrypted through one turn permutation, being divided into two semi-byte, quadri-Feistel structural operation, and one turn permutation again. The amount of keys may be variable with the turns of Feistel structural operation. The random and security of the child key was proven, and the experiment for the block cipher in wireless sensor network was completed. The result indicates that the algorithm is more secure and the chaos block cipher in single byte is feasible for wireless sensor network.

Keywords: WSN Architecture, AES Algorithm, Cryptography

Abstract: Owing to the increasing population the need for monitoring and surveillance in road traffic is increasing day by day. Lot of safety features are already incorporated in current generation automobiles making them semi- autonomous. Next generation automobiles are expected to be autonomous with the help of C-V2X and 5G technology. Vehicle-to-Everything popularly known as V2X Technology has served a significant role in improving not only passenger safety but also overall road Traffic management. This paper deals with the various C-V2X technologies that are used to ensure passenger’s safety and effective road traffic management with the help of existing cellular infrastructure and networks.

Keywords: V2X, C-V2X, Autonomous Cars, 5G

Abstract: Crop cultivation plays an essential role in the agricultural field. Presently, the loss of food is mainly due to infected crops, which reflexively reduces the production rate. To identify the plant diseases at an untimely phase is not yet explored. The main challenge is to reduce the usage of pesticides in the agricultural field and to increase the quality and quantity of the production rate. Our paper is used to explore the leaf disease prediction at an untimely action using KNN algorithm. A colour based segmentation model is defined to segment the infected region and placing it to its relevant classes. Experimental analyses were done on samples images in terms of time complexity and the area of infected region. Plant diseases can be detected by image processing technique. Disease detection involves steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. Our project is used to detect the plant diseases and provide solutions to recover from the disease. It shows the affected part of the leaf in percentage.

Keywords: Plant Leaf Image Samples, Image Recognition, Artificial Neural Network, KNN, SVM

Abstract: This project is intended to build a high performance, durable and eco-friendly Ticket Vending machine. As the name suggests, the system captures and maintains the record of the passenger by sensing its Fingerprint. The system is developed on an Embedded platform based on AVR microcontroller.

Keywords: Environment, fingerprint, embedded system, E-ticket

Abstract: Silicon-on-Insulator (SOI) pressure sensor diaphragm is a composite structure of the buried oxide and the SOI layer. This paper brings out the inadequacy of the existing analytical model in describing the deflection response of SOI square diaphragms and focuses on development of new improved analytical model that describes the load- deflection performance of SOI composite diaphragm. This improved model is able to predict the small scale as well as large scale deflection accurately when compared with deflection obtained by IntelliSuite FEA. Further, the new model has been demonstrated that the existing analytical model overestimates the deflection and hence inadequate for application to SOI pressure sensors.

Keywords: Silicon-on-insulator; Micro electro mechanical systems; Finite element analysis; Pressure sensor; IntelliSuite; Improved analytical model

Abstract: Almost everybody has access to a domestic microwave oven. For Most people the concepts of microwaves are baffling because microwaves are invisible. In industry, microwave heating has been applied to tempering of frozen meats, processing of potato chips and most importantly vulcanization of rubber. The use of microwaves for the processing of organic materials and inorganic materials such as polymers, ceramics and minerals has been widely reported. The heating of materials is controlled by variations in the power, duration of radiation exposure and the dimension of the cavity in which the microwave radiation is exposed.

Keywords: Microwave heating, Dielectric heating, Electromagnetic, Radiation