Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.

A Novel Design Approach of Subband Coder and Decoder of Speech Signal Using Log Normal Probability Distribution

Abstract: In modern speech communication less bandwidth and low data rate is very essential from portable systems with limited storage capacity. Researchers are concerned with the tradeoff between bandwidth and SNR (Signal-to-Noise), BER (Bit Error Rate). Speech signal can be compressed below 64 Kbps taking care of SNR above 30 dB, and BER below 10−5. Here the authors proposed Log Normal Distribution in the design of Subband Coder and Decoder of Speech Signal taking care of the SNR and BER criterion with data rate 9.3316 Kbps.

Microcontroller-Based Heart Rate Monitor

Abstract: This project is used to measure heartbeat rate by using an embedded technology. This project can measure and monitor the patient’s condition simultaneously. This project described the design of a simple, low-cost wireless patient monitoring system. Heartbeat rate of the patient is measured through fingertip using infrared device sensor. The pulse counting sensor is used to check whether the heart rate is normal or not. In case of abnormal condition, a SMS is sent to the mobile number using GSM module. The heart rate can be measured by monitoring one’s pulse using medical devices such as an electrocardiograph [ECG], portable device. The heartbeat monitoring systems is the wrist strap watch or any other commercial heart rate monitors.

A Comparative Study of Parametric Spectrum Estimation Techniques for Cognitive Radio Using Testbed Prototyping

Abstract: Cognitive radio (CR) has become an emerging field to rescue wireless communication applications from the spectrum scarcity problem. Spectrum estimation (SE) has been a key ingredient for faster and efficient network implementations using the concept of CR. In this work, we have performed a comparative study of SE technique for the CR systems by employing the null hypothesis approach. Autoregressive (AR), autoregressive moving average (ARMA) and autoregressive integrated moving average (ARIMA) modelling based on optimal data length and goodness of fit (GoF) has been utilized for optimal spectrum modelling. The optimization of the modelling has been achieved through the Akaike information criteria (AIC) and Bayesian information criteria (BIC). Validation and optimization of the time-series data samples have been accomplished using Fit (%) along with \(\chi^{2}\) test GoF. The entire process of SE along with the validation of data samples has been verified on the RICE University’s FPGA-based WARP radio testbed in association with MATLAB. A thorough statistical analysis of variance and Standard Error (SER) of the received samples has been carried out for the optimization of sample time-series data length for optimal performance of the receiver or users. It is noteworthy that, we could achieve a much accurate and frugal SE with a data length of 250 only using ARIMA (3,1,2) model of the data samples with a significant improvement in power spectral density (PSD) compared to other conventional approaches. Extensive experimental work has been incorporated to establish the work.

Analysis of Ambipolar Intrinsic Resistance of PIN Diode for Different Semiconductors Suitable for Power Devices

Abstract: The literature of power device must be aware of the fact of proper tradeoff between the choice of semiconductor material and the proper oxide along with it. With the growing semiconductor technology, the traditional semiconductor now has the promising competitor like silicon carbide and gallium nitride. The simulation considers Shockley-Read-Hall recombination model along with ambipolar diffusion mechanism. The analysis proves SiC-3C and SiC-6H as the most promising material for PIN diode manufacturing industries. The intrinsic region width and forward current are varied keeping another parameter constant while determining the resistance. The purpose of this work is to find out the ambipolar intrinsic resistance of PIN diode which will play key role in determining total ambipolar resistance of PIN diode.

Optimal Design of KVAr Based SVC for Improvement of Stability in Electrical Power System

Abstract: Shunt Flexible AC Transmission System (FACTS) devices, when placed at the mid-point of a long transmission line, of Electrical Power System plays an important role in controlling the reactive power flow to the power network and hence both improves the system voltage fluctuations and transient stability. In this paper, a new intelligent design of KVAr based SVC controller has been proposed to control the per unit voltage of transmission line and SVC to keep it within a particular regulation in adverse conditions of loading. The effectiveness of the proposed controllers is demonstrated on a 2-machine system. Results obtained show improvement in the overall system voltage stabilization characteristics using the proposed method. Single Machine Infinite Bus (SMIB) system with SVC located at the terminal of generator has been considered to evaluate the proposed SVC and controllers. The coefficients of an SVC controller have been optimized by a simple analytical technique. Finally the system with proposed controllers is simulated for the special disturbance in the transmission line, and then the dynamic responses have been presented. The simulation results show that the system composed with recommended controller has outstanding operation in fast damping of oscillations of power system for SVCs of modern power systems.