Nοise removal technique from digital image using advance median filter algorithm
Images are often degraded by nοises. From transmission to receiver there are various situations where nοise can be mix with original data. Nοise removal is the crucial and tedious task in image processing. In general, the results of the nοise removal have a strong influence on the quality of the image processing technique. In color image processing there are so many methods for nοise removal but it depends on types of nοise and filters used to remove nοise. The nature of the nοise removal problem depends on the type of the nοise corrupting the image. In the field of image nοise reduction, several linear and non-linear filtering methods have been proposed. In our research paper salt and pepper nοise removed using the advanced median trimmed filter. Nοise level removed from the image having range 10% to 90% and also calculated following parameters PSNR, IEF, and MSE. In our simulation result, we found that as salt and pepper nοise increases the value of PSNR decreases significantly. When a comparative analysis carried out between the base paper and proposed work, values of parameters in proposed work are better and research work significantly improved.
Published by: Lalit Kumar, Jyoti, Mithlesh
Author: Lalit Kumar
Paper ID: V4I3-1176
Paper Status: published
Published: May 8, 2018
Friction stir spot welding – A critical review
Friction stir spot welding as a derivative of friction stir welding has been developed for joining body structures. In Friction stir Spot the rotating tool is plunged through the upper sheet into the lower sheet to a predetermined depth, with the shoulder in close contact with the upper sheet. The tool is then held into the metal sheets for a short duration before its retraction. A small amount of material is squeezed out of the shoulder to form a circular protrusion on the upper sheet. Around indentation called weld, keyhole remains in the weld after the pin retraction. Due to an overlap welding configuration, a friction stir spot weld shows a distinct macrostructure. In this paper Friction stir, spot welding is reviewed and discussed.
Published by: G. Ramesh, N. Shreram, M. Shrinaath, G. Aravamudhan
Author: G. Ramesh
Paper ID: V4I3-1325
Paper Status: published
Published: May 8, 2018
Tribological studies on mechanical properties of metal matrix composites
The Al 7075 alloy matrix materials possess mechanical properties with the addition of SiC particulates as reinforcement. Liquid Metallurgy method is adopted for preparing composite workpiece. composites were adopted for heat treatment process by subjecting to solutionizing followed by quenching in water media for improving the mechanical properties. Then the specimens are adapted to artificial aging at a temperature of 130˚C for different time duration. The hardness properties are examined for the composite materials before and after heat treatment. It is seen that Al 7075 composite under heat treatment conditions reveals increase hardness.
Published by: G. Ramesh, V. C. Uvaraja, C. V. Suraj, B. Senthilnathan, M. Narendhiran
Author: G. Ramesh
Paper ID: V4I3-1324
Paper Status: published
Published: May 8, 2018
Detection and controlling measures on net-spam on social media
In recent years, online reviews have become the most important resource of customers' opinions. These reviews are used increasingly by individuals and organizations to make a purchase and business decisions the fundamental truth of large-scale data sets is not yet available and most existing approaches to supervised learning are based on pseudo- false. Identifying these spammers and spam content is a very hot topic of research, and although a large number of studies have been conducted recently for this purpose, the methodologies presented so far have barely detected spam reviews, and no one of them shows the importance of any type of extracted feature. In this study, we propose a new framework, called NetSpam, which uses spam features to model audit datasets as heterogeneous information networks to map the spam detection procedure into a classification problem in those networks. Using the importance of spam features helps us get better results in terms of different metrics experienced in real-time data sets from Yelp and Amazon sites.
Published by: Shraddha Autade, Mrunali Donde, Kiran Pawar, Himanshu Singhal, Prashant Ahire
Author: Shraddha Autade
Paper ID: V4I3-1239
Paper Status: published
Published: May 8, 2018
A novel and holistic functional food
Functional foods are those wholesome fortified, enriched or enhanced foods that provide health benefits beyond the provision of essential nutrients when they are consumed as part of the diet. Scientists, today are identifying physiologically active components of food that can reduce the risks of the variety of diseases and optimize health. The consumer self-care phenomenon has increased and hence there is a rapid growth in the market for health and wellness products. A functional food containing pink guava, whey and walnut were developed. The formulation was evaluated for its health benefits like antioxidant, probiotic, immune modulatory and antimicrobial activity. The formulation was freeze-dried for stability. Standardization was done using UV spectroscopy and high-performance liquid chromatography methods. The formulation showed distinct probiotic and antimicrobial activity. Immunomodulatory activity was evaluated using animal models. The formulation also showed significant values for protein, total fat content, vitamin C, pectin, and energy value. The product is a novel, holistic and economical combination and thus it can be used as the rejuvenator for an efficient, effective and healthy lifestyle.
Published by: Dr. Swati Patil, Sonal Aroskar, Raisa Shaikh
Author: Dr. Swati Patil
Paper ID: V4I3-1320
Paper Status: published
Published: May 8, 2018
Analytical evaluation of Shilajit from different geographical origins
Shilajit is a sticky substance found primarily in the rocks of the Himalayas. It develops over centuries from the slow decomposition of plants. The composition of shilajit largely depends on the type of plants associated with the rocks. Since the drug does not have specific organized morphological structure, it is very difficult to authenticate the drug. The primary component of shilajit is the fulvic acid which contributes to cognitive health. An attempt was thus made to establish an easy method for standardization & hence authentication of shilajit obtained from different geographical sources. Standardization assures that products are reliable in terms of quality, efficacy, performance, and safety. High-performance thin layer chromatography proves to be a good method for quantification of shilajit using a standard marker compound. As none of the methods given in literature were capable of providing good separation, a simple method was developed for detection and quantification of fulvic acid in three raw shilajit samples from different geographical origin and purified Indian shilajit. The developed method was validated for various parameters. Fulvic acid was estimated at 254nm by densitometry by using Merck, reversed phase thin layer chromatography plate silica gel 60 as the stationary phase and a combination of methanol: water (1:1) as a mobile phase. Validation was done using the sample containing the maximum amount of fulvic acid. It was found that purified sample showed the presence of the maximum concentration of fulvic acid. The method was found to be linear, specific, accurate and reproducible.
Published by: Raisa Shaikh, Dr. Swati Patil
Author: Raisa Shaikh
Paper ID: V4I3-1300
Paper Status: published
Published: May 8, 2018
