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Solan, India

Dahiya D.,JUIT | Dahiya S.,NIC Inc
Proceedings - 9th RoEduNet IEEE International Conference, RoEduNet 2010 | Year: 2010

Identifying one stop solution in terms of a software development methodology for enterprise wide application development whose various sub-components or sub-stages can be best used to describe a software development scenario is still an evolving domain. This, coupled with the reality that computer science and its allied areas like information systems and information technology domains are moving forward rapidly with regards to available technologies, making it extremely difficult task for practitioners to maintain pace with the available information technologies and their application in various domains. It is to address these scenarios and probabilities that this research paper examines various software process models and their impact on the overall software development life cycle.


Singh A.K.,JUIT | Dave M.,National Institute of Technology Kurukshetra | Mohan A.,Indian Institute of Technology BHU Varanasi
2013 IEEE 2nd International Conference on Image Information Processing, IEEE ICIIP 2013 | Year: 2013

The rapidly growing field of digital contents (image, audio, and video) has incited the need of copyright protection and content authentication, which can be used to verify against any unlawful attempt to either reproduce or juggle them in order to change their identity. Digital watermarking is a method providing a best result to the trouble of copyright protection and content authentication of digital contents. However, the digital contents can be easily obtained or facsimiled, misrepresented, distributed and stored. In this paper, we present the image watermarking method depends on the two most popular transform methods such as discrete wavelet transforms (DWT) and singular value decomposition (SVD). Based on observations, this algorithm combines the advantages and removes the disadvantages of these two transforms techniques. Also, we compare the results obtained from different wavelet filters against the number of signal processing attacks. This scheme is provides robust watermark without degradation of image quality. © 2013 IEEE.


Singh T.R.,JUIT | Gupta A.,Computational Biology Group | Suravajhala P.,Bioclues.org and 86 87
International Journal of Bioinformatics Research and Applications | Year: 2013

While it is known that the human genes are regulated by microRNAs (miRNAs), recent links with cancer and other diseases have widely caught interest. With several bioinformatics platforms and approaches on rise that has led to discovery of human miRNAs, validation and need for understanding miRNAs from their progenitor messenger RNAs (mRNAs) have arisen. Furthermore, the miRNAs are known to have synergism involving regulation of their condition-specific target genes (mRNAs). In this review, we provide a bioinformatics approach of the miRNAs and their challenges with respect to annotation. With introduction of sequence-specific miRNA signatures recently found, we discussed myriad of dimensions where miRNAs are being associated with several putative functional and evolutionary events, and then we asked a question how far and relevant is the association of miRNAs with mRNAs? Copyright © 2013 Inderscience Enterprises Ltd.


Singh T.R.,JUIT | Gupta A.,Computational Biology Group | Suravajhala P.,Bioclues.org
International Journal of Bioinformatics Research and Applications | Year: 2013

While it is known that the human genes are regulated by microRNAs (miRNAs), recent links with cancer and other diseases have widely caught interest. With several bioinformatics platforms and approaches on rise that has led to discovery of human miRNAs, validation and need for understanding miRNAs from their progenitor messenger RNAs (mRNAs) have arisen. Furthermore, the miRNAs are known to have synergism involving regulation of their condition-specific target genes (mRNAs). In this review, we provide a bioinformatics approach of the miRNAs and their challenges with respect to annotation. With introduction of sequence-specific miRNA signatures recently found, we discussed myriad of dimensions where miRNAs are being associated with several putative functional and evolutionary events, and then we asked a question how far and relevant is the association of miRNAs with mRNAs? © 2013 Inderscience Enterprises Ltd.


Sood M.,JUIT | Bhooshan S.V.,JUIT
Research Journal of Pharmaceutical, Biological and Chemical Sciences | Year: 2014

Clinical data is complex, context-dependent, and multi-dimensional, and such data generates an amalgamation of computing research challenges. To extract and interpret the useful information from raw data is a challenging job. This study aims at developing an automated predictive model to diagnose the state of an epileptic patient using EEG signals. The segmented EEG signals are utilized to extract various statistical features which are used for prediction. Strategically, we have designed a fully automated neural network model, capable of classifying the seizure activity into ictal, interictal and normal state with an accuracy as high as 99.3%, maximum sensitivity of 100% and specificity as high as 98.3% for all the classes. For the different set of parameters and optimum number of neurons in hidden layer, ANN model revealed a superior model for validating the classification.

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