Bücher von Nilesh Bhaskarrao Bahadure

This book illustrates the effect on image and speech with Huffman coding algorithm by detecting ratio. By using ratio detection technique and using Huffman coding, the images and speech signals are compressed. The implementation is done using lossless compression technique so there is no loss of pixels information and so reproduce the original image back using decompression technique. The speech is processed and compressed using linear predictive coding technique. The sampling frequency used for the coding and bit rate was 16 kHz and 15450 bits per second respectively. The tradeoffs between the bit rate, end to end delay, speech quality and complexity were analyzed. Simulations as well as segmental SNR evaluations were done to analyze the performance of the implemented techniques and algorithms.

In high voltage (HV) electrical power systems; varieties of materials (solid, liquid and gaseous) are used for insulation purpose to protect the early failure in High Voltage power equipment. Most of the insulating materials are not perfect in all respect and contain some impurities. The presence of air bubble is one of such impurities in insulating materials which is highly undesirable. Insulation of the HV power equipment gradually degrades due to the cumulative effect of electrical, chemical and thermal stress and aging. Due to the high voltage stress, the weak zone inside the insulator causes partial discharge (PD).This deteriorates the insulator. In this paper, an electrical circuit model of the solid insulator with void is used to study the PD activity leading to breakdown inside the insulator. Among the models (namely the capacitive model and induced charge concept model), the capacitive model is adopted in present work. The Simulink capacitive model implemented, effectively demonstrates the partial discharge process. The model is used to study and demonstrate the effect of the permittivity of cavity/impurity and breakdown inception voltage level of the impurity.