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.

WARP Test Bed Implementation of Lag Order and Data Length-optimized AR Spectrum Estimation Algorithm

Abstract: Recently, efficient spectrum estimation has become a fundamental requirement for any wireless communication technology. Accurate detection of spectrum in a populated and noisy environment reduces spectrum scarcity problem. Even though theoretical formulation is sufficient, physical realization and its real-time performance analysis are rare to find out. So, in this work we have investigated thoroughly the autoregressive (AR) modelling of a received signal using Yule-Walker (YW) method with the concept of confidence interval (CI) and Levinson–Durbin algorithm (LDA). The received signal strength has been observed extensively with variations of different radio gain parameters, data length and lag order along with the statistical analysis. Nonlinear curve fitting technique has been used to characterize the correlation between them. The physical study and real-time application of these algorithms have been implemented and verified on an FPGA-based platform by Rice University’s Wireless Open-Access Research Platform test bed in association with WARPLab.

Design of low power, high speed 4 bit binary to Gray converter with 8 × 4 barrel shifter using nano dimensional MOS transistor for arithmetical, logical and telecommunication circuit and system application

Abstract: In this work the design of 4 bit binary to Gray code converter circuit with 8 × 4 barrel shifter has been carried out The circuit has been designed using metal oxide semiconductor (MOS) transistor The verification of the functionality of the circuits has been performed using Tanner-SPICE software Power consumption and speed are the major design metrics for very large scale integrated circuit In this work the average power consumption and gate delay analysis of 4 bit binary to Gray converter with 8 × 4 barrel shifter has been carried out using nano dimensional MOS transistor having channel length of 150 nm Power consumption, delay analysis has been carried out for different set of supply voltage It has been observed that power consumption of the 4 bit binary to Gray converter with 8 × 4 barrel shifter has been reduced by reducing the power supply voltage VDD The power consumption and delay offers by the circuit is very less At 1 V VDD, power consumption and delay are 015 μW and 527 ps respectively Therefore the circuit is suited for low power and high speed application in the area of arithmetical, logical and telecommunication

Design and Comparative Analysis of Low-Power, High-Speed, 3-Bit Flash ADC for Biomedical Signal Processing Using 45-nm CMOS Technology

Abstract: The analog-to-digital converter is the key component for communication and signal processing. This paper describes the design and simulations of a 3-bit flash analog-to-digital converter (ADC) which includes voltage divider network, comparators, and a priority encoder. The proposed circuit is driven by 0.6 V supply voltage with an analog input of 600 mV amplitude and 1 MHz frequency. The proposed architecture is designed, simulated, and analyzed using Cadence Virtuoso IC 6.1.5 Simulator tool in 45-nm CMOS technology. The power consumption of proposed 3-bit flash ADC is 142 uW with 12.52 nS delay and output noise of 26.55 nV/sqrt(Hz). In this paper, a high-speed, low-power CMOS flash ADC, suitable for biomedical application, is proposed and analyzed.

Modelling Multiobjective Bilevel Programming for Environmental-Economic Power Generation and Dispatch Using Genetic Algorithm

Abstract: This article describes a multiobjective bilevel programming (MOBLP) model to solve environmental-economic power generation and dispatch (EEPGD) problem through genetic algorithm (GA) based fuzzy goal programming (FGP) in a thermal power plant operational system In MOBLP approach, first the objectives of problem are divided into two sets of objectives, and they are separately included at two hierarchical decision levels (top-level and bottom-level), where each level contains one or more controls variables associated with power generation decision system Then, optimization problems of both the levels are described fuzzily to accommodate the impression arises with regard to optimizing them In FGP model formulation, the membership functions associated with defined fuzzy goals are designed, and then they are converted into membership goals by assigning highest membership value (unity) as achievement level and introducing under- and over-deviational variables to each of them In achievement function, minimization of under-deviational variables of membership goals according to weights of importance is considered to achieve optimal solution in decision environment In the process of solving FGP model, a GA scheme is adopted at two stages, direct optimization of individual objectives at the first stage for fuzzy representation of them and, at the second stage, evaluation of goal achievement function to reach optimal power generation decision The use of the proposed method is demonstrated via IEEE 30-bus system

Optimized WiMAX Network Development in India: Specification and Implementation

Abstract: WiMAX became popular due to simplicity of installation and cost reduction compared with traditional DSL cable. It is very important to provide Quality of Service (QoS) to end user to guarantee diversifying requirements of different applications in WiMAX. The system requirement of next-generation mobile WiMAX is supposed to be based on IEEE 802.16 m which is still in letter ballot stage specifically considering Indian environment. This paper presents an optimized architecture and scenario based on the recently standardized IEEE 802.16 m framework, integrating both mobility management and QoS in Indian scenario. Moreover, we analyse the QoS issues like throughput, uplink and downlink packet drop. OPNET-based simulation platform has been introduced for the verification of analytical model and results. The numerical results found in simulation can be used to select proper network configuration.