Kolkata, India

The Narula Institute of Technology is a private engineering college in West Bengal, India, situated in Agarpara, Kolkata, located at 81, Nilgunj Road, Kolkata, 700109. The college is affiliated with the West Bengal University of Technology and the AICTE. It ranks as one of the top engineering colleges in the state of West Bengal. The college is one of seven colleges under the JIS Group a Sikh minority group and a member of AMPAI.The departments of EE, ECE and IT of the college are accredited by the National Board of Accreditation . The college has been granted as a TEQUIPIII college. The institute has an educational tie up between IIT Kharagpur according to which students of the institute can use some facilities of IIT. It has signed an MOU with NIT Sikkim.The nearest railway Station is Agarpara , 1.5 km. The nearest airport is Netaji Subhas Chandra Bose International Airport , 20 km. Wikipedia.


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Pal B.B.,Kalyani University | Chakraborti D.,Narula Institute of Technology | Mukhopadhyay A.,Kalyani University
International Journal of Bio-Inspired Computation | Year: 2012

This article demonstrates a fuzzy goal programming (FGP) approach with the use of genetic algorithm (GA) for proper deployment of patrol manpower to various road-segment areas in urban environment in different shifts of a time period to deterring violation of traffic rules and thereby reducing the accident rates in a traffic control planning horizon. To expound the potential use of the approach, a case example of the city Kolkata, West Bengal, INDIA, is solved. Copyright © 2012 Inderscience Enterprises Ltd.


Dey A.,Garh Raipur High School | Karan S.,Narula Institute of Technology | De S.K.,Indian Association for The Cultivation of Science
Indian Journal of Pure and Applied Physics | Year: 2013

Solid composite polymer electrolytes consisting of high molecular weight polyethylene oxide (PEO) with potassium iodide (KI) and sodium perchlorate (NaClO4) as electrolyte salts and cerium oxide (CeO2) and zirconium oxide (ZrO2) nanoparticles, respectively, as fillers have been prepared by standard solution cast technique. In the present work, PEO 15-KI-CeO2 electrolytes have been prepared over a range of CeO2 content with particle size ∼10 nm, whereas PEO 25-NaClO4-ZrO2 electrolytes have been synthesized with various particle sizes of nano ZrO2 keeping the concentration constant to investigate the effect on the ionic conductivity.


Bhattacharyya S.,Acharya Prafulla Chandra College | Saha J.K.,Indian Association for The Cultivation of Science | Mukherjee T.K.,Narula Institute of Technology
Physical Review A - Atomic, Molecular, and Optical Physics | Year: 2015

In this work, the controversy between the interpretations of recent measurements on dense aluminum plasma created with the Linac coherent light source (LCLS) x-ray free electron laser (FEL) and the Orion laser has been addressed. In both kinds of experiments, heliumlike and hydrogenlike spectral lines are used for plasma diagnostics. However, there exist no precise theoretical calculations for He-like ions within a dense plasma environment. The strong need for an accurate theoretical estimate for spectral properties of He-like ions in a strongly coupled plasma environment leads us to perform ab initio calculations in the framework of the Rayleigh-Ritz variation principle in Hylleraas coordinates where an ion-sphere potential is used. An approach to resolve the long-drawn problem of numerical instability for evaluating two-electron integrals with an extended basis inside a finite domain is presented here. The present values of electron densities corresponding to the disappearance of different spectral lines obtained within the framework of an ion-sphere potential show excellent agreement with Orion laser experiments in Al plasma and with recent theories. Moreover, this method is extended to predict the critical plasma densities at which the spectral lines of H-like and He-like carbon and argon ions disappear. Incidental degeneracy and level-crossing phenomena are being reported for two-electron ions embedded in strongly coupled plasma. Thermodynamic pressure experienced by the ions in their respective ground states inside the ion spheres is also reported. © 2015 American Physical Society.


Goswami B.,Narula Institute of Technology | Bhandari G.,Jadavpur University
Journal of the Indian Society of Remote Sensing | Year: 2013

The most significant part of prediction of precipitation is the detection and identification of convective (cumulonimbus) clouds, also the tracking of cloud movement is important for identification of location of precipitation. A very simple methodology for detecting convective clouds and then tracking its movement from a series of infrared (IR) images is proposed in this paper. IR image is segmented using k-means clustering algorithm, which has been implemented using Euclidean, Manhattan and Mahalanobis distances and the results have been compared. Cloud clusters have been identified from segmented image and subsequently the large clusters were extracted. Center of Mass (CoM) was calculated for each selected cloud cluster and its position after every 30 min was predicted and compared with the actual values. If the predicted position deviates, the proposed models automatically adjusts itself, and the next prediction becomes closer to original values of position. © 2012 Indian Society of Remote Sensing.


Pal N.R.,Indian Statistical Institute | Sarkar K.,Narula Institute of Technology
IEEE Transactions on Fuzzy Systems | Year: 2014

In the recent past, different kernelized versions of c-means (hard and fuzzy) clustering algorithms have been proposed. Here, we focus on kernel clustering of only object data, X = \{ {\bf x}1, \ldots,{\bf x}n \} \subset R^p. We first raise a basic question: Should we really cluster any given object data in the kernel space? The answer is NO! Here are our line of arguments: 1) The objective of any clustering algorithm is to find natural subgroups in X, where the subgroups are defined by a measure of similarity between the vectors in X. 2) If we transform the data X into Y in another space by a nonlinear transformation and try to find clusters in Y, then such clusters can be useful if and only if Y helps us to find the same clusters that are present in X because that is our objective. 3) If Y maintains the same structure/topology as that of X, then the use of Y may not give any advantage. 4) On the other hand, if Y changes the structure (i.e., imposes a new structure) on the data and that change makes the extraction of the desired clusters present in X easier, then clustering of Y is useful. 5) But when Y imposes new (nonexistent) structures, the clustering algorithm may find very strange clusters with no relation to the actual clusters present in X. 6) Thus, when we try to cluster in a transformed space, the issue is to know if it could help us to find the clusters present in X. To get any benefit from kernel clustering (or clustering in any other transformed space), we need to answer this question first; otherwise, we may find completely irrelevant clusters without knowing it and thereby making kernel clustering useless. 7) This issue is a philosophical one and is neither dependent on the choice of clustering algorithm nor on the particular transformation (kernel function) used. 8) Except for 2-D/3-D data, we do not know of any way to answer the question in 6) and for 2-D/3-D data, since we can look at the data, we do not need kernel clustering. Therefore, there is no benefit from kernel clustering. We demonstrate and justify our claims using both synthetic and real datasets with visual assessment as well as with normalized mutual information, adjusted Rand index, and cluster instability. We propose to use Sammon's nonlinear projection method to get a crude visual representation of the data in the kernel space. We discuss the issue of how to choose appropriate parameters of the kernel function, but we could not provide a solution to this problem. Finally, we discuss how the kernel parameters and the algorithmic parameters interact. © 1993-2012 IEEE.


Pal N.R.,Indian Statistics Institute | Bustince H.,Public University of Navarra | Pagola M.,Public University of Navarra | Mukherjee U.K.,Centenary College | And 2 more authors.
Information Sciences | Year: 2013

We review the existing measures of uncertainty (entropy) for Atanassov's intuitionistic fuzzy sets (AIFSs). We demonstrate that the existing measures of uncertainty for AIFS cannot capture all facets of uncertainty associated with an AIFS. We point out and justify that there are at least two facets of uncertainty of an AIFS, one of which is related to fuzziness while the other is related to lack of knowledge or non-specificity. For each facet of uncertainty, we propose a separate set of axioms. Then for each of fuzziness and non-specificity we propose a generating family (class) of measures. Each family is illustrated with several examples. In this context we prove several interesting results about the measures of uncertainty. We prove some results that help us to construct new measures of uncertainty of both kinds. © 2012 Elsevier Inc. All rights reserved.


Datta R.,Narula Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2015

The Peak to Average Power Ratio (PAPR) plays an important role in Orthogonal Frequency Division Multiplexing (OFDM) in communication systems, especially in wireless cellular systems. This article illustrates the effectiveness of the CCDF curve to study the signal performance and effect of PAPR in orthogonal frequency division multiplexing. I performed some analysis of signal on power level basis and found that PAPR is an effective analysis tool to detect noise in signal. © Springer India 2015.


Sarkar I.,Narula Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2015

The astacins, a family of zinc-dependent endopeptidases have been widely detected in animal kingdom from humans to bacteria. They play a diverse role in both mature and developmental systems ranging from bone morphogenesis, tissue differentiation, hatching process, digestive function and in different diseases including cancer, inflammation, fibrosis and neurodegenerative diseases. In the absence of complete three-dimensional structure of the proteases, homology modelling has been carried to build at least the protease domain of this class of enzymes so that subsequent docking of substrates/inhibitors in future study will help to explore the differential substrate specificity of the astacins. © Springer India 2015.


Mukhopadhyay T.K.,Narula Institute of Technology
Journal of Physics: Conference Series | Year: 2015

Precise non-relativistic energy eigenvalues of slowly moving hydrogen-like ions under quantum plasma environment have been estimated by using Ritz variational mathod. Present study shows that the energy levels gradually move towards the continuum as plasma electron density increases while level crossing phenomenon has been observed with the variation of ion velocity. © Published under licence by IOP Publishing Ltd.


Dutta D.,Narula Institute of Technology
Journal of Sol-Gel Science and Technology | Year: 2015

Abstract: In the present work, a systematic basic research has been performed for finding out the effect of various process parameters viz. molar ratio of zinc sulfate and sodium hydroxide, reaction time and calcination temperature on size and morphology of ZnO nanoparticles synthesized using zinc sulfate as a precursor by sol–gel method. Taguchi design method, ANOVA and regression analysis were used to find out the effect of various process parameters on the response in terms of narrow particle size distribution and crystal size. Characterization was done to find out the response such as particle size distribution and crystal size by using TEM and XRD. Results revealed molar ratio of 1:2, and calcination temperature of 700 °C could significantly form uniform-sized spherical ZnO nanoparticles (85 nm) with narrow size distribution. However, significant increase in crystal size of ZnO nanoparticles was observed with increase in calcination temperature from 300 to 700 °C. This may be primarily due to governing of higher diffusion rate at high temperature which resulted in enhanced growth rate of ZnO crystals. Graphical Abstract: [Figure not available: see fulltext.] © 2015 Springer Science+Business Media New York

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