GJUS and T

Hisār, India

GJUS and T

Hisār, India
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Nain A.,GJUS and T | Kumar S.,Maharshi Dayanand University | Singla S.,IIET
Advances in Intelligent Systems and Computing | Year: 2017

Stimulated Raman Scattering-(SRS) induced crosstalk is one of the sources of attenuation in optical fiber link. This paper focuses on the impact of modulation index on the SRS-induced crosstalk. The SRS-induced crosstalk has been reported against modulation frequency, optical power, and transmission length at varied modulation indexes. It is observed that there is significant effect of modulation index on the SRS-induced crosstalk. As the modulation index is increased from 0.3 to 0.9, the crosstalk levels are enhanced by 5 dB approx. It is also revealed that, when modulation frequency is increased, the crosstalk is decreased. Crosstalk increases with increasing optical power and minor increase in the crosstalk levels with increasing transmission length. © Springer Science+Business Media Singapore 2017.

Chhabra J.K.,National Institute of Technology Kurukshetra | Kumar D.,GJUS and T
Journal of Computational Science | Year: 2014

This paper presents a parameter adaptive harmony search algorithm (PAHS) for solving optimization problems. The two important parameters of harmony search algorithm namely Harmony Memory Consideration Rate (HMCR) and Pitch Adjusting Rate (PAR), which were either kept constant or the PAR value was dynamically changed while still keeping HMCR fixed, as observed from literature, are both being allowed to change dynamically in this proposed PAHS. This change in the parameters has been done to get the global optimal solution. Four different cases of linear and exponential changes have been explored. The change has been allowed during the process of improvization. The proposed algorithm is evaluated on 15 standard benchmark functions of various characteristics. Its performance is investigated and compared with three existing harmony search algorithms. Experimental results reveal that proposed algorithm outperforms the existing approaches when applied to 15 benchmark functions. The effects of scalability, noise, and harmony memory size have also been investigated on four approaches of HS. The proposed algorithm is also employed for data clustering. Five real life datasets selected from UCI machine learning repository are used. The results show that, for data clustering, the proposed algorithm achieved results better than other algorithms. © 2013 Elsevier B.V.

Chhabra J.K.,National Institute of Technology Kurukshetra | Kumar D.,GJUS and T
Advances in Intelligent Systems and Computing | Year: 2014

Distance measure plays a vital role in clustering algorithms. Selecting the right distance measure for a given dataset is a challenging problem. In this paper, the effect of six distance measures on three clustering algorithms, K-means, single linkage, and average linkage is investigated. The distance measures include Euclidean, Euclidean squared, Manhattan, Mahalanobis, cosine similarity, and Pearson correlation. We describe all the distance measures pointing out their strengths and weaknesses. The performance of clustering algorithms on distance measures are evaluated on two artificial and four real-life datasets. Experimental results show the impact of distance measures when used for different datasets. © Springer India 2014.

Kumari V.,BMIET | Kumari V.,Deenbandhu Chhotu Ram University of Science and Technology | Kumar V.,Gurukula Kangri University | Kumar V.,Inter University Accelerator Center | And 3 more authors.
Optics Communications | Year: 2012

Undoped and Erbium (Er) doped zinc oxide (EZO) thin films were deposited on glass substrate by sol-gel method using spin coating technique with different doping concentration. EZO films were characterized using X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), UV-VIS-NIR transmission and single beam z scan method under illumination of frequency doubled Nd:YAG laser. The deposited films were found to be well crystallized with hexagonal wurtzite structure having a preferential growth orientation along the ZnO (002) plane. A blue-shift was observed in the band gap of EZO films with increasing Er concentration. All the films exhibited a negative value of nonlinear refractive index (n 2) at 532 nm which is attributed to the two photon absorption and weak free carrier absorption. Third order nonlinear optical susceptibility, χ (3) values of EZO films were observed in the remarkable range of 10 - 6 esu. EZO (0.4 at.%) sample was found to be the best optical limiter with limiting threshold of 1.95 KJ/cm 2. © 2012 Elsevier B.V. All rights reserved.

Singla S.,Maharshi Dayanand University | Kumar R.,Maharshi Dayanand University | Kumar D.,GJUS and T
Procedia Computer Science | Year: 2016

The weight is assigned to all edges of graph according to a uniform policy and focus is on the leaves nodes of the Spanning Tree of Control Flow Graph of Program. If all leaves nodes of Spanning tree are covered by the test cases, then number of test cases required or testing the program can be reduced to great extent. Further the spanning tree is based on the concept of maximum spanning tree of CFG which helps in finding the critical paths of CFG. The chances of finding errors in critical are more as compare to the normal path. Covering of all the leaves nodes of Spanning Tree give guarantee for the coverage of Critical path also. Further the paper also shows that number of test cases required in case of Spanning tree is less as compare to the Dominance tree concept. For the generation of fast, unique and reliable test cases a optimization technique which is based on natural computing concept is used which is called as on Swine Influenza Models Based Optimization (SIMBO). The relation between nodes has been used as fitness function in this paper. Finally, the results in the paper show the effectiveness of SIMBO techniques as compare to Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). © 2016 The Authors. Published by Elsevier B.V.

Gupta S.,Amity University | Singh S.N.,Amity University | Kumar D.,GJUS and T
Proceedings - 2016 2nd International Conference on Computational Intelligence and Communication Technology, CICT 2016 | Year: 2016

In bioinformatics research, the biggest challenge is to extract information from large datasets according to ones interestingness criteria. For research in genetics the DNA microarray technology provides better results in comparison with the standard approach as it has computerized the parallel analysis of thousands of genes for monitoring expression levels of genes. Thus, for the biologists the challenge to analyze gene data which consists of a huge number of measurements is in the range of clustering techniques. For the above purpose till now various clustering techniques have been developed and applied on gene microarray data. Thus, this study paper is aimed to provide a brief review of the various research papers and journals on recent research done for cluster analysis of gene microarray data. © 2016 IEEE.

Godara S.,GJUS and T | Singh R.,GJUS and T
International Journal of Applied Engineering Research | Year: 2015

It has been claimed that Technology will replace 80% of what physician do today. Medical science industry has huge amount of data, but unfortunately most of this data is not mined to find out hidden information in data. Advanced Machine Learning techniques can be used to discover hidden pattern in data. Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. This paper formalizes Medical Decision Support System (MDSS) and describes the methods that have been developed within machine learning area for addressing these problems. These machine learning techniques comprise Clustering, KNearest Neighbors KNN, Decision Tree, Multi-layer perceptron (MLP), Radial Basis Function (RBF) neural network, Support Vector Machine (SVM). In this paper Core contributions by researchers in this area which had discussed or made use of machine learning ideas is also presented. © Research India Publications.

Goyat A.,GJUS and T
Proceedings - 2012 2nd International Conference on Advanced Computing and Communication Technologies, ACCT 2012 | Year: 2011

Printing is an art of duplication. Infact it is an art, science & technology of reproduction of 'n' number of replicas of an original/literature/ catalogue etc. with the help of a suitable printing process on the desired substrate and surface. It is declared as the "Greatest Invention of Millennium" by Time magazine, USA. And the spectrum of Time magazine is very well known. It is the largest industry of India after auto-parts. We are basically a servicing industry being overlapped by various perspectives of Engineering and Sciences like Computers, Electronics, Manufacturing, Chemical, Electrical, Optical and, of course by Management aspects. By an large, any Printing and Packaging concern is divided into three main sections - Pre-press, In-press and Post-press. In other words, In-press and Post-press are meant for Hardcore Printing and Binding & Finishing works respectively. Pre-press section is there to take care of all tasks required to prepare an Image-carrier. The work in any typical Pre-press section starts with the preparation of copy that is required to be reproduced. Nonetheless, computers & their applications are an indispensable part of our Pre-press jobs. Generally, Desk-Top Publishing software like Quark X-press, Illustrator, Corel-Draw, Fox-Pro, Prinect (Heidelberg), Photoshop, Adobe In-design, Adobe PageMaker, MS-Office etc. etc. are used in Pre-press works. The Console/Control mechanism present in Printing machines (In-press section) and Bindery equipments (Post-press section) are also using various Computer technologies. © 2012 IEEE.

Singh S.,GJUS and T
International Journal of Pharma and Bio Sciences | Year: 2014

Inspite of progress in diagnosis, treatment prostate cancer has become one of the most frequent lethal cancers in males. Rate of detection of prostate cancer varies widely across the world. Research on molecular biology of prostate cancer is expected to give new insight of improving, distinguishing slow growing from aggressive clinically relevant cancers and provide target for treatment. Traditionally, prostate cancer research focused on prostate structure, development and hereditary aspects. This review mainly focuses on novel finding of genetics and molecular biological aspects of the prostate cancer like alteration of androgen signaling, investigation of the tumor suppressor gene, proto Oncogenes and studies of chromosomal alteration followed by telomerase activity.

Kumar V.,JCDMCOE | Chhabra J.K.,National Institute of Technology Kurukshetra | Kumar D.,GJUS and T
Engineering Applications of Artificial Intelligence | Year: 2014

In real life problems, prior information about the number of clusters is not known. In this paper, an attempt has been made to determine the number of clusters using automatic clustering using gravitational search algorithm (ACGSA). Based on the statistical property of datasets, two new concepts are proposed to efficiently find the optimal number of clusters. Within the ACGSA, a variable chromosome representation is used to encode the cluster centers with different number of clusters. In order to refine cluster centroids, two new operations namely threshold setting and weighted cluster centroid computation are also introduced. Finally, a new fitness function is proposed to make the search more efficient. A comparison of the proposed technique is also carried out with automatic clustering techniques developed recently. The proposed technique is further applied for automatic segmentation of both grayscale and color images and its performance is compared with other techniques. Experimental results demonstrate the efficiency and efficacy of the proposed clustering technique over other existing techniques. © 2013 Elsevier Ltd. All rights reserved.

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