Gurunanak Institute of Technology

Sodepur, India

Gurunanak Institute of Technology

Sodepur, India
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Das B.,Gurunanak Institute of Technology | Kamilya S.,IIEST | Sikdar B.K.,IIEST
Proceedings - 2016 6th International Symposium on Embedded Computing and System Design, ISED 2016 | Year: 2017

This work reports realization of close to accurate data migration in Chip Multiprocessors (CMPs). The periodic boundary cellular automata (PBCA) is introduced to accept the requests from processor cores competing for a data block and to perform accurate density classification of the requesting processors. The CA enables identification of populated region of requesting cores and thereby points to the area of migration. The design is enriched to favor the processor cores in isolation and to decide on the area of migration to avoid performance loss of such processors. © 2016 IEEE.


Vijayatha D.,Tamil University | Vijayatha D.,Gurunanak Institute of Technology | Viswanatha R.,Indian Institute of Science | Sujatha B.,MSRIT
AIP Conference Proceedings | Year: 2016

Microwave-Assisted synthesis is cleaner, more economical and much faster than conventional methods. The development of new routes for the synthesis of solid materials is an integral part of material science and technology. The electronic conductivity studies on xPbCl2-60 PbO-(40-x) V2O5 (1 ≥ x ≤ 10) glass system has been carried out over a wide range of composition and temperature (300K to 423K). X-ray diffraction study confirms the amorphous nature of the samples. The Scanning electron microscopic studies reveal the formation of cluster like morphology in PbCl2 containing glasses. The d.c conductivity exhibits Arrhenius behaviour and increases with V2O5 concentration. Analysis of the results is interpreted in view Austin-Mott's small polaron model of electron transport. Activation energies calculated using regression analysis exhibit composition dependent trend and the variation is explained in view of the structure of lead-vanadate glass. © 2016 Author(s).


Vijayatha D.,Gurunanak Institute of Technology | Viswanatha R.,Indian Institute of Science
AIP Conference Proceedings | Year: 2016

Glass formation and properties in the system xPbCl2-15PbO-(85-x) PbBr2 (where 0 ≤ x ≤ 25) has been prepared by microwave method. The glass forming tendency of the admixtures was also been studied by determining the Hurby's factor (HR). HR values of the investigated glasses lie in a short range of 0.14 to 0.24; hence preparation of these glasses is very difficult and requires suitable experimental conditions. Lead bromide and lead chloride are inter-substituted by keeping the concentration of PbO at 15 mol%. Properties like glass transition temperature (Tg), jump in heat capacity (ΔCp) at Tg, width of glass transition (ΔT), show a composition dependent trend. The stability indices such as H′ and S have also been calculated. These values reveal that PbCl2 rich glasses are less stable while PbBr2 rich glasses are stable, which is well supported by chemical durability studies. The calculated values of glass formation indices fall in right range (G≥20 for glass formers, for conditional glass formers 10≤G≤20 and G<10 for glass modifiers) for compositions studied in the present work. © 2016 Author(s).


Sriram C.,Gurunanak Institute of Technology | Kumar D.R.,VNR Vignana Jyothi Institute of Engineering and Technology | Raju G.S.,VNR Vignana Jyothi Institute of Engineering and Technology
2014 International Conference on Smart Electric Grid, ISEG 2014 | Year: 2014

The power swing caused by various transient disturbances which exists only for a few seconds will affect the zone 3 distance relay behavior and may result in relay mal-operation. By improving the operation of zone 3 distance relays, it is possible to prevent mal-operations, so that the cascaded line tripping is avoided. This paper proposes a transient stability prediction based on polynomial curve fitting method. The novelty of the proposed method is that it accurately predicts the transient stability based on only few samples of fault data with solving computationally extensive electromechanical dynamics and also determine the optimal tripping time for zone 3 so that the relay will be block the tripping for stable power swings. Performance of the proposed scheme is evaluated on the IEEE 14 bus system and the results are presented in this paper. © 2014 IEEE.


Biswas S.,Gurunanak Institute of Technology | Sil J.,Bengal Engineering and Science University
Smart Innovation, Systems and Technologies | Year: 2014

In the paper, a gender recognition scheme has been proposed based on fusion of spatial and temporal features. As a first step, face from the image is detected using Viola Jones method and then spatial and temporal features are extracted from the detected face images. Spatial features are obtained using Principal Component Analysis (PCA) while Discrete Wavelet Transform (DWT) has been applied to extract temporal features. In this paper we investigate the fusion of both spatial and temporal features for gender classification. The feature vectors of test images are obtained and classified as male or female by Weka tool using 10 fold cross validation technique. To evaluate the proposed scheme FERET database has been used providing accuracy better than the individual features. Experimental result shows 9.77% accuracy improvement with respect to spatial domain recognition system. © Springer International Publishing Switzerland 2014.


Biswas S.,Gurunanak Institute of Technology | Sil J.,Indian Institute of Science
Proceedings of 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2015 | Year: 2015

The paper proposes a novel face recognition technique based on discrete Contourlet Transform (CT). CT represents smooth contour information in different directions and so relevant to recognize individuals more accurately. Each face image is decomposed up to fourth level in transformed domain using Contourlet Transform and coefficients are analyzed to obtain statistical features. For classification feature vectors are obtained considering training images of each database. To reduce dimension of the feature vectors, directional subbands are selected by analyzing the entropy of the feature vectors. For the recognition of face images Support Vector Machine (SVM) is used. The experimental results give promising performance of the proposed face recognition method on JAFFE and ORL database compare to other transformed domain methods. © 2015 IEEE.


Biswas S.,Gurunanak Institute of Technology | Sil J.,Indian Institute of Science
Smart Innovation, Systems and Technologies | Year: 2015

In this paper a low computation feature space has been proposed to recognize expressions of face images. The image is divided into number of blocks and binary pattern corresponding to each block is generated by modifying the Local Binary Pattern (LBP). The proposed method generates compressed binary pattern of images and therefore, reduced in size. Features are extracted from transformed image using block wise histograms with variable number of bins. For classification we use two techniques, template matching and Support Vector Machine (SVM). Experiments on face images with different resolutions show that the proposed approach performs well for low resolution images. Considering Cohn-Kanade database, the proposed method is compared with LBP feature based methods demonstrating better performance. © Springer India 2015.


Ghosh T.,Gurunanak Institute of Technology | Mitra S.,Bengal Engineering and Science University
International Conference on Intelligent Systems Design and Applications, ISDA | Year: 2012

The wireless access in vehicular environment system is developed for enhancing the driving safety and comfort of automotive users. However, such system suffers from quality of service degradation for safety applications caused by the channel congestion in scenarios with high vehicle density. The present work is a congestion control mechanism in vehicular ad-hoc network. It supports the communication of safe and unsafe messages among vehicles and infrastructure. Each node maintains a control queue to store the safe messages and a service queue to store the unsafe messages. The control channel is used for the transmission of safe messages and service channel is used for the transmission of unsafe messages. Each node computes its own priority depending upon the number of waiting messages in control queue and service queue. Each node reserves a fraction of control channel and service channel dynamically depending upon the number of waiting messages in its queue. The unsafe messages at a node may also be transmitted using control channel provided the control channel is free and service channel is overloaded which helps to reduce the loss of unsafe message at a node which in turn reduces the congestion level of a node and also improves its quality of service. The available bandwidth is also distributed among the nodes dynamically depending upon their priority. The performance of the proposed scheme is evaluated on the basis of average loss of unsafe message, average delay in safe and unsafe message, storage overhead per node. © 2012 IEEE.


Biswas S.,Gurunanak Institute of Technology | Sil J.,Indian Institute of Science
ACM International Conference Proceeding Series | Year: 2015

The paper proposes an efficient human expression recognition method in transformed domain using discrete Contourlet transform (DCT). DCT represents smooth contour information in different directions reflecting human perception and so relevant to recognize facial expressions more accurately. Each face is decomposed using discrete Contourlet transform up to fourth level and coefficients of high frequency and low frequency components with varied scales and angles are obtained.Logarithmic invariant moments of directional coefficients at different levels and histogram analysis are used to build the feature vectors for classification. To reduce dimension of the feature vectors, directional subbands are selected by analyzing the entropy of the feature vectors. Support Vector Machine (SVM) is applied to classify different expressions using the proposed method. Experimental results show promising performance applied on JAFFE and Cohn-Kanade database compare to other transformed domain methods. Copyright 2015 ACM.


Biswas S.,Gurunanak Institute of Technology | Sil J.,Bengal Engineering and Science University
2013 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2013 | Year: 2013

Automatic gender classification has immense applications in many commercial domains. In the paper, spatial and temporal feature based gender classification technique has been proposed. In the first step, texture based features in the spatial domain are extracted by dividing the training images into no. of blocks. Covariance matrix and singular value decomposition method has been applied on each block to extract the features. Discrete Wavelet Transform (DWT) has been introduced in the second step to extract temporal features. The feature vectors of test images are obtained and classified as male or female by Weka tool using 10 fold cross validation technique. The proposed approach provides 98% recognition rate on GTAV database while 91% on FERET database. © 2013 IEEE.

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