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Mehto A.,M.TECH Scholar | Mehra N.,SATI
Physics Procedia | Year: 2016

This paper, presents a robust, secure and lossless digital image watermarking based on DWT and DCT. The combined DWT-DCT algorithm embedded watermarks in original medical image. It embeds watermark like patient's name, disease's name, hospital's name, and doctor's signature into original medical image. This watermarking algorithm provides privacy of patient. Many performance factors are considered to evaluate the performance parameters of the proposed scheme. The performance evolution factors include PSNR, and measuring their correlation with degradation of the whole image. © 2016 The Authors.


Kamley S.,S.A.T.I. | Jaloree S.,S.A.T.I. | Thakur R.S.,M.A.N.I.T.
International Journal of Electrical and Computer Engineering | Year: 2016

Forecasting share performance becomes more challenging issue due to the enormous amount of valuable trading data stored in the stock database. Currently, existing forecasting methods are insufficient to analyze the share performance accurately. There are two main reasons for that: First, the study of existing forecasting methods is still insufficient to identify the most suitable methods for share price prediction. Second, the lack of investigations made on the factors affecting the share performance. In this regard, this study presents a systematic review of the last fifteen years on various machine learning techniques in order to analyze share performance accurately. The only objective of this study is to provide an overview of the machine learning techniques that have been used to forecast share performance. This paper also highlights a how the prediction algorithms can be used to identify the most important variables in a share market dataset. Finally, we could have succeeded to analyze share performance effectively. It could bring benefits and impacts to researchers, society, brokers and financial analysts. Copyright © 2016 Institute of Advanced Engineering and Science. All rights reserved.


Pandey U.,S.A.T.I. | Purohit R.,MANIT | Agarwal P.,SATI | Dhakad S.K.,SATI | Rana R.S.,MANIT
Materials Today: Proceedings | Year: 2017

Titanium carbide is the costly reinforcement nano powder mostly used in structural applications, aerospace, automobile industries and specific cutting tools where safety is main consideration factor and reasons are not difficult to understand as far as cost concerned. The primary objective in aircraft or anywhere is safety. In the present research the effect of titanium carbide particles on their mechanical properties with different aluminium matrix has been reviewed. The ultrasonic assisted stir casting is an economical and amenable process for medium to large scale production as compared to other methods such as powder metallurgy and spray forming. The objective of this paper is to study the current research and development in aluminum-based in situ and ex-situ composites by casting route. Very few work has been reported on nano TiC particulates synthesized with Al 6061 using ex-situ method. TiC particulates reinforced composites are attributed to tremendous bond reliability of TiC particulates with aluminium. Titanium carbide is proved to be a potential reinforcement for improved mechanical properties in Al MMCs. © 2017 Elsevier Ltd.


Khan H.,S.A.T.I. | Shukla R.N.,S.A.T.I. | Bajpai A.K.,Robertson College, Jabalpur
Materials Science and Engineering C | Year: 2016

The aim of the present investigation was to design biocompatible gelatin nanoparticles, capable of releasing the cytarabine drug in a controllable way by regulating the extent of swelling of nanoparticles. In order to achieve the proposed objectives, gelatin (Type A, derived from acid cured tissue) was modified by crosslinking with genipin and nanoparticles of crosslinked gelatin were prepared using single water in oil (W/O) emulsion technique. The nanoparticles were characterized by techniques like FTIR, SEM, TEM, particles size analysis, and surface potential measurements. The nanoparticle chemical architecture was found to influence drug-releasing capacity. The influence of experimental conditions such as pH and simulated physiological fluids as the release medium was also investigated on the release profiles of cytarabine. It is possible to fabricate high-performance materials, by designing of controlled size gelatin nanoparticles with good biocompatible properties along with desired drug release profiles. © 2015 Elsevier B.V. All rights reserved.


Pandey G.S.,RGPV | Jain R.C.,SATI
Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 | Year: 2014

The protein structure has always been under significant exploration, as this is vitally responsible for the basic functionality. Understanding the formation of these structures has gradually been called as 'the protein folding problem'. The solution for this problem is basically concerned with the ultimate aim to attain the native state. Broadly the methods to predict the ultimate goal, are categorized as- the template -based (homology modeling, threading/fold recognition) and template -free (ab initio) methods, which are discussed later in detail. In this paper, we have followed the ab initio methodology, to develop an ARTNN based approach to cluster the stable folds, out of the search space. The approach implemented through either of the two models (SF-ART or FC-ART model) could help enhance the performance of obtaining the three dimensional native state by providing more productive pathway, using the crude ab initio parameters, emphasizing quality performance with reduced execution time. This could thus be considered as a productive ab initio- clustering approach. © 2014 IEEE.


Sharma B.,S.A.T.I. | Chugh S.,S.A.T.I. | Jain V.,S.A.T.I.
Proceedings - 2014 4th International Conference on Communication Systems and Network Technologies, CSNT 2014 | Year: 2014

Routing protocols are required in network for deliver packets from source to destination. The multipath routing providing concept of load balancing but not efficiently distribute the load in network by that the valuable source of communication i.e. energy are affected from it because of packet loss. This paper work is motivated by the idea of taking account of several factors in Mobile Ad hoc Networks (MANET) routing design in a unified way. The rational of our motivation is that most of the multipath routing protocols are designed only based on one criterion, e.g., shortest path considered with balance load or energy conservation. We propose a scheme which could consider energy conservation, shortest path and load balancing, In this routing scheme, we would consider both the shortest path and the energy conservation in multipath way with proposed energy based multipath routing (E-AOMDV). We define an energy factor as that we will use the products of the energy factors of all the nodes along different paths as the selection criteria. The energy factor informs about the status of energy then here we evaluate the performance of AOMDV and energy based AOMDV (E-AOMDV). The life times of proposed E-AOMDV are limited but the improved routing as compare to AOMDV without including the energy factor. The performance of proposed scheme are better in limited life time. The performance matrices are shown the better results in proposed scheme. © 2014 IEEE.


Dehariya V.K.,S.A.T.I. | Shrivastava S.K.,S.A.T.I. | Jain R.C.,S.A.T.I.
Proceedings - 2010 International Conference on Computational Intelligence and Communication Networks, CICN 2010 | Year: 2010

Clustering or data grouping is a key initial procedure in image processing. In present scenario the size of database of companies has increased dramatically, these databases contain large amount of text, image. They need to mine these huge databases and make accurate decisions in short durations in order to gain marketing advantage. As image is a collection of number of pixels. It is difficult to take account of all pixels for clustering. So the concept of image segmentation play very useful role in clustering as it save times and it is efficient too. With the use of k-mean and it's variant fuzzy k-means algorithm clustering of these large data become easy and time saving. This paper deals with the application of standard k-means and fuzzy k-means clustering algorithms in the area of image segmentation. In order to assess and compare both versions of k-means algorithm and fuzzy k-means, appropriate procedures implemented. Experimental results point that fuzzy logically optimized k-means algorithms proved their usefulness in the area of image analysis, yielding comparable and even better segmentation results. © 2010 IEEE.


Mehto A.,SATI | Mehra N.,SATI
Procedia Computer Science | Year: 2016

This paper, presents a robust, secure and lossless digital image watermarking based on DWT and DCT. The combined DWT-DCT algorithm embedded watermarks in original medical image. It embeds watermark like patient's name, disease's name, hospital's name, and doctor's signature into original medical image. This watermarking algorithm provides privacy of patient. Many performance factors are considered to evaluate the performance parameters of the proposed scheme. The performance evolution factors include PSNR, and measuring their correlation with degradation of the whole image. © 2016 The Authors.


Yadav S.,S.A.T.I | Sain D.,S.A.T.I
Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013 | Year: 2013

Semantic similarity of the words is used specially in searching operations. Although there are various searching tools available for the searching of words, texts, images etc. But sometimes exact matching of the word doesn't require but the similar words having same meaning is required. Hence an efficient algorithm is implemented for the searching of semantic similarity between words. Here an efficient technique is implemented for the detection of similar words, as well as finding the frequency of word. © 2013 IEEE.


Kori N.K.,S.A.T.I. | Raghuwanshi S.,S.A.T.I.
Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013 | Year: 2013

The proper key management for the multicasting supported networks is one of the most important considerations to maintain the security of the network while reducing the overhead and storage requirements. The multicasting is used for communicating with a group of users from large number of users the most common application of the multicasting internet TV and online streaming. This paper presents a simple, efficient and secure technique for key generation, distribution and storage for multicasting networks. Finally the proposed algorithm is simulated using mat-lab and compared with standard key management algorithm. The analysis of the simulated results shows that the proposed algorithm performs well. © 2013 IEEE.

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