Banasthali Vidyapeeth

Rajasthan, India

Banasthali Vidyapeeth

Rajasthan, India
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Ahuja H.,NorthCap University | Sujata,NorthCap University | Purohit G.N.,Banasthali Vidyapeeth
Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 | Year: 2016

Software is becoming progressively more integral part of day-to-day life. Developing the software that meet stakeholders' need is the ultimate goal in today's environment. As the complexity of software increases so does the requirements. There are many requirements which should be fulfilled in the given time duration on the other hand some requirements should be considered first to reduce the risks. Hence, proper gathering and prioritizing requirements may leads to the successive development of the software. In literature there are number of techniques which focus on requirement prioritization problem. This paper presents the comparative study of various requirement prioritization techniques. © 2016 IEEE.

Midha S.,Banasthali Vidyapeeth | Kumari S.,University of Rajasthan
Advanced Science Letters | Year: 2016

The Compression in SAR image is a crucial phenomenon as it deals with large amount of information and requires large bandwidth for communication. A novel approach is required not only to compress the SAR image but also to retain the structural features and textural information of SAR image. This paper uses the novel approach and compares the performance of various bands used in SAR imagery in terms of compression ratio and entropy. The paper compares compression performance of SAR imagery using different wavelets like Daubechies, Biorthogonal, Coiflets and symlets. Based on the result, it is found that this approach compresses the data to some extent but high compression rate is still required for better spatial resolution of SAR imagery. © 2016 American Scientific Publishers. All rights reserved.

Singh S.P.,Center for Development of Advanced Computing of India | Kumar A.,Center for Development of Advanced Computing of India | Sahu P.,Banasthali Vidyapeeth | Verma P.,Center for Development of Advanced Computing of India
Proceedings on 2016 2nd International Conference on Next Generation Computing Technologies, NGCT 2016 | Year: 2017

The basic concept of machine translation is to translate one human language to another human language. Many translation systems have been built using different approaches which have different accuracy levels. In this paper, a work is being proposed for Syntax Based Machine Translation System from English to Hindi language. The Syntax Based Machine Translation System has the goal of incorporating an explicit representation of syntax into the statistical systems, to get the best out of the two worlds. The approach used in this translation system is a Blended approach i.e. statistical approach along with the Rule-based approach with the intention to get more accurate translation. Incorporating the idea of Synchronous Tree Substitution Grammar (STSG), it has been tried to parallel generate English and Hindi rules dynamically, which leads to final translated Hindi text. A parallel aligned text corpora of English and Hindi is being used as Database of the system, which is limited and hence limits the translation. Further, the system undergoes through various stages of Preprocessing, Source language analysis and then source to target language analysis to get the translation. The user has provision to select the best suitable translation according to him. This paper proposes the working strategy of how translation is being carried out from English to Hindi and the accuracy level that it achieved. © 2016 IEEE.

Janu N.,Banasthali Vidyapeeth | Mathur P.,Banasthali Vidyapeeth | Gupta S.K.,Machine Learning Research Laboratory | Agrwal S.L.,Machine Learning Research Laboratory
Proceedings of the 7th International Conference Confluence 2017 on Cloud Computing, Data Science and Engineering | Year: 2017

Facial Expression Recognition is a vital topic for research in current scenario which has many applications as machine based HR interviews and human-machine interaction. Facial Expression recognition is applied for identification of person using face of a person. Researchers have proposed many research techniques for facial expression recognition but still accuracy, illumination and occlusion are the research issues which have to improve. Key Research issue of facial expression is improving the accuracy of system which is measured in term of recognition rate. Feature extraction is the main stage on which accuracy depends for facial expression recognition. In this paper we have analyzed different feature extraction technique in frequency domain as Discrete Wavelet Transform, Discrete Cosine Transform feature extraction technique, Gabor filter and different feature reduction technique developed so far and future aspects. © 2017 IEEE.

Kaur N.,BVICAM | Taruna S.,Banasthali Vidyapeeth
2015 International Conference on Computing for Sustainable Global Development, INDIACom 2015 | Year: 2015

The MapReduce programming model accepted by Hadoop and other big datatechnologies is a powerful toolto address big data analysis problem. It is becoming ubiquitous, but still there are issues in concern with its performance and efficiency. It offers high scalability and fault tolerance in large scale data processing, but gives low efficiency. Hence, how to enhance efficiency with high level of scalability and fault tolerance is a major challenge. The efficiency problem, especially I/O costs can be addressed in two ways: by optimizing I/O operations in Map-Reduce and by utilizing the features of modern hardware such as SSD (Solid State Disk) that can help in minimizing computations in Map-Reduce considerably. This paper explores various existing data layout structures that can improve the efficiency of map-reduce operations and help in overcoming its pitfalls. © 2015 IEEE.

Gudlawar S.K.,Waters India Pvt Ltd | Dwivedi J.,Banasthali Vidyapeeth
Journal of Liquid Chromatography and Related Technologies | Year: 2014

A new, sensitive, and rapid UPLC-MS method for the determination of 1-chloro-2-nitrobenzene in ultra performance liquid chromatography mass spectrometry using substitution reactions in atmospheric pressure chemical ionization negative mode [APCI (-)] is described. Substitution reactions [M - X + O]- are observed for compounds which do not easily undergo deprotonation. By using threshold of toxicological concern (TTC), a limit of 1.63 ppm was calculated based on maximum daily dose of the drug substance. The proposed method was found to be linear from 50.0 to 2000.0 ppb with correlation coefficient >0.99. LOD and LOQ of the method were very low as 20.0 and 50.0 ppb. The accuracy of the method was found to be in the range of 85-105%. This method is a good quality control tool for quantification of 1-chloro-2- nitrobenzene at low levels in quetiapine fumarate. © 2014 Taylor & Francis Group, LLC.

Choudhary K.,ITM University | Purohit G.N.,Banasthali Vidyapeeth
2014 Recent Advances in Engineering and Computational Sciences, RAECS 2014 | Year: 2014

Software Testing is the critical task for any software which helps in building trust and confidence in the product. Usually, the emphasis is on Manual Testing but to reduce cost there is a need of automation in software testing process. This paper proposes a method to generate automated uniformly distributed test cases based on the platform of multi-objective genetic algorithm (MOGA). The proposed method is analyzed on the domain of Pareto-Optimality, Dominance and Multi-objective Genetic Algorithm. © 2014 IEEE.

Agarwal M.,BHU | Sharma A.,Banasthali Vidyapeeth
Journal of Health Management | Year: 2011

The study was conducted with the aim of investigating the effects of perception of the hospital workplace factors on the job satisfaction and psychological well-being of a sample of paramedical health care employees (N = 200) from a medical college (teaching) hospital and public (non-teaching) government-run hospitals. Statistical analysis of the data revealed that despite significant differences in perceived work-place factors, the reported levels of psychological well-being and job satisfaction of the participants were nearly similar in the two types of public hospitals. Stepwise regression analysis of the data revealed that the organization's structure-related factors, co-ordination and work autonomy were significantly predictive of job satisfaction and psychological well-being of health care employees, while the process-related workplace factors, participative decision making and intra-professional relations, emerged as significant predictors of psychological well-being and job satisfaction in both types of hospitals. Results have significant implications for public hospitals which are currently facing competition from the state-of-the-art health care technology being introduced by private hospitals, and are therefore under pressure for retention of skilled health care employees. © 2011 SAGE Publications.

Singh G.,Malaviya National Institute of Technology, Jaipur | Sirohi A.K.,Banasthali Vidyapeeth | Verma S.,Banasthali Vidyapeeth
Physics of Wave Phenomena | Year: 2013

A 3-dB optical coupler (power splitter) based on a Y-junction waveguide with a channel profile of proton-exchanged lithium niobate has been modeled. Finite difference beam propagation method has been used to investigate light wave propagation in axially varying waveguides. It is found that the structure splits the input power equally at the Y-junction with an efficiency of 99% and an average excess loss ≤0.04 dB. The novelty of the coupling structure proposed is its capability to function as a wavelength-independent 3-dB coupler while maintaining very low-power imbalance for widespread optical communication wavelengths of 1.3 and 1.55 μm. © 2013 Allerton Press, Inc.

Kumari S.,Banasthali Vidyapeeth
2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013 | Year: 2013

High Performance Distributed Computing has created a new approach to science. High performance can be achieved by distributing the task over different machines, using a better algorithm, using faster computers or by using an MPSoC (Multiple Processor System on Chip). In MPSoC multiple CPUs are connected with each other to accomplish a task as a whole. Each CPU assigned a different task. In this paper we have compared the computation speed of a Linux based cluster and an MPSoC by running the same application and repeated this for different applications, which gives the high performance for the distributed systems. For this we have created a cluster of five Linux based systems by using a complete clustering solution that is OSCAR-5.1b2 which is fully supported for RHEL-5(Red Hat Enterprise Linux-5) and an MPSoC with the help of Embedded System Environment Tool which produce Transaction level model for functional verification and performance estimation. © 2013 IEEE.

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