SBS State Technical Campus

Ferozpur, India

SBS State Technical Campus

Ferozpur, India
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Sharma A.,DAV Institute of Engineering and Technology | Sharma A.K.,Lrdav College | Agnihotri K.,SBS State Technical Campus
Nonlinear Dynamics | Year: 2015

The present paper aims to study the interaction of toxin producing phytoplankton (TPP)–zooplankton (a prey–predator interaction) and its role in plankton ecology. The delay in the zooplankton predation is considered and its effect on the overall dynamic of phytoplankton–zooplankton interaction is studied. Moreover, Holling IV type response function is used for zooplankton grazing to account for the effect of toxication by the TPP population. It is shown that time delay can destabilise the given system and induce oscillation in population due to Hopf-bifurcation. Further stability of the bifurcating periodic solution is determined by using normal form theory and centre manifold arguments. Some numerical simulations are executed to validate the analytical findings. © 2015, Springer Science+Business Media Dordrecht.

Gulati M.K.,Khalsa College for Women | Kumar K.,SBS State Technical Campus
International Journal of Communication Networks and Distributed Systems | Year: 2016

Due to the mobility and limited energy of the mobile nodes, frequent link failures occur in mobile ad hoc network (MANET) which makes quality of service (QoS) routing a challenging task. In this paper, we consider these issues and propose a cross layer weight based on demand routing protocol (CLWORP) which uses the weight-based route strategy to select a stable and energy efficient route in order to enhance quality of service performance. The weight of a route is decided by three factors: link signal strength, residual energy and drain rate. Multiple routes are discovered from the source node to the destination node with the different weight values. Then the path with the largest weight value is selected at the destination. Simulation results show that the proposed CLWORP outperforms AODV especially in a high mobility environment. © Copyright 2016 Inderscience Enterprises Ltd.

Ghumman N.S.,SBS State Technical Campus | Kaur R.,SBS State Technical Campus
6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015 | Year: 2015

Cloud Computing is a new technology. Cloud Computing provides many facilities like on demand self-services, unlimited resources, rapid elasticity and measured services to end users. All users access these resources directly through internet. Users can use these resources and services as they want on pay per use concept. In cloud computing architecture load balancing is a very important issue. There are many algorithms for load balancing in cloud computing. All algorithms work different ways. We proposed a Improved Max-Min Ant colony Algorithm. Improved Max-Min used the concept of original Max-Min. Improved Max-Min is based on the execution time not on completion time as a selection basis. The main motive of our work is to balance the total load of cloud system.We try to minimizing the total makespan. We simulated results using the CloudSim toolkit. Results show the comparison between improved max min and new hybrid improved Max-Min ant approach. It mainly focuses on total processing time and processing cost. © 2015 IEEE.

Kaur K.,S.B.S State Technical Campus | Behal S.,S.B.S State Technical Campus
Procedia Computer Science | Year: 2015

Captcha is stands for Completely Automated Public Turing test to tell Computer and Human Apart. As the increase of automated bots systems or software that misuse and corrupt the public web services, the user must required going through and solving a Turing test problem, before they are use web services. This Turing test is called Captcha. In this paper we have discuss an improved text-based captcha which is more secure, and more robust as compared to another Captchas. © 2015 The Authors. Published by Elsevier B.V.

Kaur B.,SBS State Technical Campus | Jindal S.,SBS State Technical Campus
2014 International Conference on Devices, Circuits and Communications, ICDCCom 2014 - Proceedings | Year: 2014

Feature extraction is a process of detecting and extracting features out of images and storing it in feature vectors. It is an important phase of content based image retrieval. Extracted features are equally significant in terms of their usage since they can be further taken as inputs to next phases of CBIR. There are several techniques used for extracting features out of an image. In this paper we show feature extraction working on medical images using a SURF technique under the OPEN CV platform. We have used the OPEN CV platform since it provides a C interface to implement various image processing algorithms. The work merges the feature extraction technique with this most suitable platform available for image algorithms. We have also computed the performance of the technique used in terms of various parameters like execution time, rotation, detect ability, accuracy, etc. Our technique works well in terms of its performance as shown in our results and so it can be one of the appropriate techniques to be chosen for medical images being the complex images. © 2014 IEEE.

Mittal E.,SBS State Technical Campus | Singh S.,SBS State Technical Campus
Applied Artificial Intelligence | Year: 2015

Biogeography is the study of distribution of biological species, over space and time, among random habitats. Recently developed Biogeography-Based Optimization (BBO) is a technique in which solutions of the problem under consideration are named habitats; just as there are chromosomes in genetic algorithms (GAs) and particles in Particle Swarm Optimization (PSO). Feature sharing among various habitats in other words, exploitation, is made to occur because of the migration operator, whereas exploration of new SIV values, similar to that of GAs, is accomplished with the mutation operator. In this study, the nondominated sorting BBO (NSBBO) and various migration variants of the BBO algorithm, reported to date, are investigated for multiobjective optimization of six-element Yagi-Uda antenna designs to optimize two objectives, viz., gain and impedance, simultaneously. The results obtained with these migration variants are compared, and the best and the average results are presented in the concluding sections of the article. Copyright © 2015 Taylor & Francis Group, LLC.

Sharma L.,SBS State Technical Campus | Singh N.,SBS State Technical Campus
Journal of Surfactants and Detergents | Year: 2014

Novel carbohydrate-based non-ionic gemini surfactants consisting of two sugar head groups, two hydrophobic tails having chain lengths of C12, C14, and C16 and a flexible -(CH2)6- spacer were synthesized and investigated for their reverse micellar encapsulation properties. The head groups of the geminis comprise glucose entities (with reducing function blocked in a cyclic acetal group) connected through C-6 to tertiary amines. These surfactants were explored for reverse micellar encapsulation of d- and l-enantiomers of aromatic α-amino acids viz. histidine (His), phenylalanine (Phe), tyrosine (Tyr) and tryptophan (Trp) in neat n-hexane. Similar studies were carried out for encapsulation of nucleobases viz. adenine (Ade), guanine (Gua), thymine (Thy), cytosine (Cyt) and Uracil (Ura). Reverse micellar studies revealed that aromatic α-amino acids were encapsulated in the sequence His>Tyr>Phe>Trp. In most cases, a difference in the degree of encapsulation of d- and l-enantiomers of aromatic amino acids in reverse micellar phases of gemini amphiphiles in neat n-hexane, was revealed. For Tyr, l-enantiomer was better encapsulated than its antipode, i.e., d-enantiomer but for Trp, d-enantiomer was better encapsulated then l-enantiomer. In the case of nucleobases, Ura was found selectively encapsulated by reverse micelles formed by these new amphiphiles. © 2014 AOCS.

Singh S.,SBS State Technical Campus | Mittal E.,SBS State Technical Campus | Sachdeva G.,SBS State Technical Campus
Proceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012 | Year: 2012

Biogeography-Based Optimization (BBO) is one of the recently developed population based algorithms which has shown impressive performance over other Evolutionary Algorithms (EAs). BBO is based on the study of geographical distribution of biological organisms over space and time. Yagi-Uda antenna design is most widely used antenna at VHF and UHF frequencies due to high gain, directivity and ease of construction. However, designing a Yagi-Uda antenna that involves determination of wire-lengths and spacings is highly complex and non-linear problem. If gain is intended to increase then imaginary part in impedance becomes significant. In this paper Non-dominated Sorting BBO (NSBBO) is proposed and investigated for Multi-objective optimization of six-element Yagi-Uda antenna designs to optimize two objectives, viz., gain and impedance, simultaneously. The best results and BBO flow are presented in the ending sections of the paper. © 2012 IEEE.

Kaur N.,SBS State Technical Campus | Jindal S.,SBS State Technical Campus | Kaur B.,SBS State Technical Campus
Proceedings - 2016 2nd International Conference on Computational Intelligence and Communication Technology, CICT 2016 | Year: 2016

Image search techniques were not generally basedon visual features but on the textual annotation of images. Images were firstly annotated with text and then searched usinga text-based approach from traditional database managementsystems which is time consuming and difficult to manage. Toovercome this problem, CBIR (Content Based Image Retrieval) is introduced which is becoming the hottest research areathese days due to vast range of real time applications suchas Crime Prevention, Photograph Archives, Medical Diagnosis, Geographical Information and Remote Sensing System etc. TheCBIR system consist of various phases to extract and matchthe features and search the images from the large scale imagedatabases on the basis of visual contents such as Color, Shape andTexture according to the user's interest. As Semantic Gap is themost important and challenging issue. In this paper, RelevanceFeedback is used to deal with this issue which based on SupportVector machine has been extensively used in the CBIR systemto bridge the semantic gap between low level features and highlevel human perception features. The learning techniques arepredominently used for the classification of images in lablelledand unlabelled datasets. In our proposed work we have to workon KNN, SVM and Bayes Classifier to classify the images. The implementation of our proposed work is done in OpenCvand experiments conducted on the Corel Dataset having 10,000images. After attempting the experiments on various images wehave to calculate the Precision and Recall which represent in theform of graphs. After analyzing the results we have concludedthat our method is effective to reduce the semantic gap. © 2016 IEEE.

Kaur J.,SBS State Technical Campus | Singh S.,SBS State Technical Campus
Proceedings - 2016 2nd International Conference on Computational Intelligence and Communication Technology, CICT 2016 | Year: 2016

The goal of this paper is to show how swarm intelligence inspired optimization algorithms can take benefit of the parallel computing mechanism supported by general purpose computing ability of a Graphical Processing Unit (GPU). In this paper, Particle Swarm Optimization (PSO) algorithm is implemented both in C (serial) and C-CUDA (parallel) and their performances are compared on a testbed of well-known optimization test functions. Simulation results showed that parallel implementation of PSO using C-CUDA searches near optimal solution in lesser time as compared to that of serial algorithm implemented using C. © 2016 IEEE.

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