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Ramaswamy V.,BIET
Souvenir of the 2014 IEEE International Advance Computing Conference, IACC 2014 | Year: 2014

In daily life the language used for communication can be termed as Natural Language (NL) and it evolves from generation to generation. NL is the most powerful tool that humans possess for conveying information. At the core of Natural Language Processing (NLP) task there is an important issue of Natural Language Understanding (NLU). NLP is computer manipulation of NL. In this paper we propose a fuzzy parser which is a form of syntax analyzer that performs analysis of a complete source input. The Bottom up LR (left to right) syntax analysis [1] method is a useful and versatile technique for parsing deterministic Fuzzy context-free languages. Here we have proposed a Fuzzy Simple LR parser (FSLR) for parsing English sentences which uses Fuzzy Context Free Grammar (FCFG). LR parsers are a family of efficient, bottom-up shift-reduce parsers that can be used to parse a large class of context-free languages. The system is intended to rank the large number of syntactic analyses produced by NL grammars according to the frequency of occurrence of the individual rules deployed in each analysis. This paper discusses a procedure for constructing an LR parse table from Fuzzy context free grammar and using this table the input sentence is tested for syntactic correctness. © 2014 IEEE.


Panda G.,National Institute of Technology Meghalaya | Kumar P.,National Institute of Technology Rourkela | Puhan P.S.,BIET | Dash S.K.,SUIIT
International Journal of Electrical Power and Energy Systems | Year: 2013

Estimation of power system harmonics and their elimination is an interdisciplinary area of interest for many researchers. This paper presents Variable Step Size Least Mean Square (VSS-LMS) approach for harmonics estimation and Shunt Active Power Filter (SAPF) with two-level Hysteresis Current Control (HCC) technique for their elimination in a three-phase distribution system. In the estimation process, the weight is updated using VSS-LMS algorithm. Harmonics components are estimated from the updated weights. In order to mitigate harmonics produced by the nonlinear load connected in a three-phase distribution system, SAPF with two-level HCC is proposed. A three-phase insulated gate bipolar transistor (IGBT) based current controlled voltage source inverter (CC VSI) with a dc bus capacitor is used as an active power filter. The first step is to calculate SAPF reference currents from the sensed nonlinear load currents by applying the synchronous detection method and then the reference currents are fed to the proposed controller for generation of switching signals. The nonlinear load consists of one three-phase and one single-phase diode rectifier feeding R-L load, so that the effectiveness of the two-level HCC scheme to compensate for unbalanced nonlinear load can be tested. Various simulation results are presented to verify the good behavior of the SAPF with proposed two levels HCC. © 2013 Published by Elsevier Ltd.


Kumar N.,B.I.E.T | Gautam R.K.,Indian Institute of Technology BHU Varanasi | Mohan S.,Indian Institute of Technology BHU Varanasi
Materials and Design | Year: 2015

AA5052/ZrB2 composites with different volume percent (i.e. 0, 3, 6, 9 and 10vol.%) ZrB2 particles were developed by in-situ reaction of molten AA5052 alloy with two inorganic salts K2ZrF6 and KBF4 at a temperature of 860°C. The in-situ composites were characterized by DTA, XRD, SEM, TEM for reaction analysis and morphology. Their mechanical properties like hardness and tensile properties were evaluated using standard methods. Morphology studies show that grain size of Al-rich phase reduces due to the presence of ZrB2 particles. Microstructural studies also reveal the uniform distribution of second phase particles, clear interface, good bonding, dislocations and morphology of ZrB2 particles. It is found that ZrB2 particles are mostly in nano size with hexagonal or rectangular shape, however, few particles in micron size are also observed. Density and hardness of the composites increases with increase in the amount of reinforcement. Ultimate tensile strength and 0.2% yield strength (YS) also improved continuously with increase in the volume fraction of ZrB2 particles up to 9vol.% but beyond this composition strength reduced. It is important to note that with dispersion of ZrB2 particles in base alloy an improvement in ductility is observed which is contrary to many other composites. © 2015 Elsevier Ltd.


Upadhyay A.,Motilal Nehru National Institute of Technology | Prajapati Y.K.,Motilal Nehru National Institute of Technology | Singh V.,Banaras Hindu University | Saini J.P.,B.I.E.T.
Optics Communications | Year: 2015

Comprehensive analysis of reverse index waveguide based sensor with metamaterial as a guiding layer to achieve high sensitivity for detection of microbe has been made. The detection will be done of larger cells like bacteria using reverse index profile of waveguide in four layer planar waveguide structure. Proposed four layer structure has larger adlayer sensitivity over the similar waveguide based sensor having dielectric material as guiding layer. © 2015 Elsevier B.V. All rights reserved.


Gupta A.K.,Krishna Institute of Engineering and Technology | Singh Y.P.,BIET
Communications in Computer and Information Science | Year: 2011

This paper aims that analysing neural network method in pattern recognition. A neural network is a processing device, whose design was inspired by the design and functioning of human brain and their components. The proposed solutions focus on applying Feature Recognition Neural Network model for pattern recognition. The primary function of which is to retrieve in a pattern stored in memory, when an incomplete or noisy version of that pattern is presented. An associative memory is a storehouse of associated patterns that are encoded in some form. In auto-association, an input pattern is associated with itself and the states of input and output units coincide. When the storehouse is incited with a given distorted or partial pattern, the associated pattern pair stored in its perfect form is recalled. Pattern recognition techniques are associated a symbolic identity with the image of the pattern. This problem of replication of patterns by machines (computers) involves the machine printed patterns. There is no idle memory containing data and programmed, but each neuron is programmed and continuously active. © 2011 Springer-Verlag.


Khan S.Z.,BIET | Suman S.,Indian National Institute of Engineering | Pavani M.,Indian National Institute of Engineering | Das S.K.,Indian National Institute of Engineering
Geoscience Frontiers | Year: 2016

Landslides are common natural hazards occurring in most parts of the world and have considerable adverse economic effects. Residual shear strength of clay is one of the most important factors in the determination of stability of slopes or landslides. This effect is more pronounced in sensitive clays which show large changes in shear strength from peak to residual states. This study analyses the prediction of the residual strength of clay based on a new prediction model, functional networks (FN) using data available in the literature. The performance of FN was compared with support vector machine (SVM) and artificial neural network (ANN) based on statistical parameters like correlation coefficient (R), Nash - Sutcliff coefficient of efficiency (E), absolute average error (AAE), maximum average error (MAE) and root mean square error (RMSE). Based on R and E parameters, FN is found to be a better prediction tool than ANN for the given data. However, the R and E values for FN are less than SVM. A prediction equation is presented that can be used by practicing geotechnical engineers. A sensitivity analysis is carried out to ascertain the importance of various inputs in the prediction of the output. © 2015 China University of Geosciences (Beijing) and Peking University.


Prajapati Y.,BIET | Singh V.,Banaras Hindu University | Saini J.P.,BIET
Microwave and Optical Technology Letters | Year: 2011

This article presents a rigorous analytical treatment of electromagnetic wave propagation in a new type of Bragg waveguide having elliptical core cross-section surrounded by Bragg cladding layers. Using Maxwell's equations in elliptical coordinates, the field components are obtained that specially incorporate Mathieu (q > 0) and the modified Mathieu functions (q < 0). Using this equation the modal dispersion curves for even guided modes are obtained and plotted for different cladding eccentricity e. It is found that the dispersion curves are discontinuous and modes can exist only in particular wavelength bands. Finally, the modal birefringence in the said waveguide is also estimated. © 2011 Wiley Periodicals, Inc.


Rizvi S.A.H.,B.I.E.T. | Agarwal S.,B.I.E.T.
Procedia CIRP | Year: 2016

One of the most important non- conventional machining methods is Electrical Discharge Machining (EDM). The present study performs the EDM process with copper-tungsten electrode of diameter 2 mm to establish the influence of the EDM parameters on various aspects of the surface integrity of AISI 4340 steel. The residual stress induced by the EDM process is measured using the X-rays diffraction method. The experimental results reveal that the values of material removal rate (MRR), surface roughness (SR), and induced residual stress tend to increase at higher values of pulse current and pulse-on duration. However, for extended pulse-on duration, it is noted that the MRR, SR, and surface crack density all decrease. A smaller pulse current (i.e. 1A) tends to increase the surface crack density, while a prolonged pulse-on duration (i.e. 30 μs) widens the opening degree of the surface crack, thereby reducing the surface crack density. It is determined that the residual stress can be controlled effectively by specifying an appropriate pulse-on duration. © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.


Samanta C.K.,BIET | Padhy S.K.,Siksha ‘O’ Anusandhan University | Panigrahi S.P.,Gandhi Institute for Technological Advancement | Panigrahi B.K.,Indian Institute of Technology Delhi
IET Electrical Systems in Transportation | Year: 2013

This study deals with energy management (EM) in hybrid electric vehicles. This study designs EM as an optimisation problem, then, optimises it using particle swarm optimisation (PSO) and some of its hybridisations. This study will be first in the literature to introduce PSO to the problem of EM in electric field. Moreover, this study proposes some novel applications of hybrid PSO, such as PSO-DE and PSO-QI. Encouraging simulation results obtained in this study that may attract for a case study for practical implementations. © The Institution of Engineering and Technology 2013.


Tripathi A.,BIET | Ayub S.,BIET
Proceedings - 2015 International Conference on Computational Intelligence and Communication Networks, CICN 2015 | Year: 2015

Electrocardiogram (ECG) is the recording of electric activity of heart. The abnormal ECGs are called arrhythmias. In this paper, we propose the algorithm to detect the arrhythmias based on heart rate variability. Heart rate variability in normal ECGs and arrhythmias is detected by taking five ECG beats from each ECG. We investigate the consecutive RR peak interval to detect heart rate variation in Arrhythmias. It is found that in arrhythmias, consecutive RR interval is varying, while in normal ECGs, RR peak interval is almost constant. Heart rate variation in normal ECGs are up to 7.5%. ECG analysis by proposed algorithm has done on MATLAB (R2011a). © 2015 IEEE.

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