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.

Meteorological Parameter Studies During 6 December 2016 Indonesia Earthquake (Mw 6.5)

Abstract: The atmosphere near the ground surface is affected more than the ionospheric region in terms of ionization by the electromagnetic emissions caused by various reasons. One such occurrence is the emission of radon (Rn222) from lithosphere through the deformities of the earth crust during the earthquakes. This creates atmospheric anomalies before any strong seismic activities which seem to be present in the meteorological parameters. The evidence for atmospheric anomalies has yet to be meticulously analysed. The data for analysis can be recorded by receiving through L-type antenna and a detector module having a local oscillator, power amplifier, IF amplifier and data acquisition card. But in this work, the data are satellite data. Here, the event of Indonesia earthquake occurred on 6 December 2016 with magnitude Mw 6.5 analysed for observing the anomalies in meteorological parameters, viz. air temperature, relative humidity, atmospheric pressure and wind speed before and after this earthquake. The variations of these parameters might help to predict the occurrence of the earthquake 2–3 days prior to its occurrence. We obtain certain anomalies in temperature, relative humidity, pressure and wind speed observations. Also, we have found that 30-km depth is very sensitive for Indonesia.

Revenue maximization in a CRN using Real Coded Genetic Algorithm

Abstract: In this paper we consider a cognitive radio network consisting of primary users (PUs) and a set of secondary users (SUs). The spectrum has been divided into channels using frequency division multiple access (FDMA). The PUs are licensed to use the channels. When the channels are idle, i.e., not used by the PUs then PUs lease the vacant spectrum for earning revenue. While the SUs bid for the channels the PUs selects the purchaser offering the highest of all bid values. The main objective is to benefit the seller. Here, using Real Coded Genetic Algorithm (RCGA) we solve the above mentioned single objective function. We also optimize the problem using differential evolution (DE) algorithm and make a comparison of fitness values with RCGA.

Remote monitoring for power quality analysis of distribution system

Abstract: This paper depicting a technique through which power quality of a specific area is monitored using one centralized remote monitoring unit (RMU). Mainly the power quality of the output powers of the distribution transformers (DT) are to be monitored and analyzed in this proposed scheme. Each remote terminal unit (RTU) is connected with the DT which measures samples values of voltage and current signals. Then it estimates power quality in the form of harmonic components of active and reactive powers and sends these values to the RMU. In the central station a state-of-the-art graphical user interface (GUI) acquires these data and the quality of the power is displayed for monitoring purposes. A trend analysis can thus be performed to detect the areas injecting more harmonics into the system.

Mathematical modelling of packet transmission through cluster head from unequal clusters in WSN

Abstract: The network lifetime always a critical issue in sensor networks because the sensor nodes are characterized by restricted and non-replaceable energy supply. Thus maximizing lifetime of network by minimizing energy consumption poses a challenge in design of protocols. Therefore, proper organization of clustering and orientation of nodes within the cluster becomes one of the important issue to extend the lifetime of the whole sensor network through cluster head. We investigate the problem of energy consumption in ClusterHead (CH) rotation (i.e. re- clustering) in wireless sensor networks. The selection criteria of the CH are based on the residual energy of nodes within the clusters and minimum average distance from the Base Station. The total energy in delivering a packet from the sensor node to other nodes has been mathematically derived. Moreover, the expected number of packet retransmissions and the effect of it on the network is also discussed in our proposed energy model. In this paper we applied the approach for producing energy-aware unequal clusters with optimal selection of cluster head and discussed several aspects of the network mathematically and statistically. This work presents an analysis of its design and implementation aspects. The simulation results demonstrate that our approach of re-clustering in terms of energy consumption and lifetime parameters.

Analysis of Similarity Between Protein Sequences Through the Study of Symbolic Dynamics

Abstract: Protein sequence analysis is an important tool to decode the logic of life. The rapid growth of protein sequences is constantly throwing several challenges to the bioscientists. So several methods are being improvised to assign mathematical descriptors to protein sequences, in order to quantitatively compare the sequences and determine similarities and dissimilarities between them. In this paper, for the analysis of protein sequences their 4-bit ranks and entropies are studied and compared with each other which yields satisfactorily convenient results.