Manuscripts

Recent Papers

Review Data De-Duplication by Encryption Method

Data deduplication is a technique to improve the storage utilization. De-duplication technologies can be designed to work on primary storage as well as on secondary storage. De-duplication with the use of chunking Data that is passed through the de-duplication engine is chunked into smaller units and assigned identities using crystallographic hash functions. Thereafter, two chunks of data are compared to ascertain whether they have the same identity. Chunking for de-duplication can be frequency based or content based. Frequency based chunking identifies high frequencies of occurrences of data chunks. The algorithm uses this frequency information to enhance data duplication gain.

Published by: Sonam Bhardwaj, Poonam Dabas

Author: Sonam Bhardwaj

Paper ID: V2I4-1163

Paper Status: published

Published: July 18, 2016

Full Details

An Experimental Study on Performance of Jatropha Biodiesel using Exhaust Gas Recirculation

Today the world is in dilemma for the prevention of both of fuel depletion and environmental degradation crises. Due to excessive need, indiscriminate extraction and consumption of fossil fuels have led to a reduction in petroleum reserve. Developing countries such as India depend heavily on oil import. Diesel being the main transport fuel in India, finding a suitable alternative to diesel is an urgent need of the hour. Jatropha based bio-diesel (JBD) is a non-edible, renewable fuel suitable for diesel engines and has a potential of large-scale employment for wasteland land with relatively low environmental degradation. As Jatropha oil is free from sulphur and still exhibits excellent lubricity and is a much safer fuel than diesel because of its higher flash and fire point. Performance parameters including brake thermal efficiency (η), brake specific fuel consumption (BSFC) with varying loading conditions showed Jatropha biodiesel as an effective alternative on four stroke single cylinder compression ignition engine. Also the effect of exhaust gas recirculation (EGR) at 10% re circulation showed Jatropha as an effective fuel since the inherent oxygen present in the bio-diesel structure compensates for oxygen deficient operation under EGR.

Published by: Kiranjot Kaur

Author: Kiranjot Kaur

Paper ID: V2I4-1162

Paper Status: published

Published: July 18, 2016

Full Details

Automated Supervision of PCB Circuits

Machine vision intelligence(MVI) is the capacity of a Computer to "see" and "take appropriate decision". A machine-vision framework utilizes one or more camcorders, simple to-computerized transformation ( ADC ), and advanced sign processing software ( DSP etc ). The subsequent information goes to a PC or robot controller. Two critical determinations in any vision framework are the affectability and the determination. Affectability is the capacity of a machine to see in faint light, or to distinguish feeble motivations at imperceptible wavelengths. Determination is the degree to which a machine can separate between items. When all is said in done, the better the determination, the more restricted the field of vision. Affectability and determination are associated. Every single other variable held steady, expanding the affectability diminishes the determination, and enhancing the determination lessens the affectability.

Published by: Manoj Kumar, Mrs. Shimi S.L

Author: Manoj Kumar

Paper ID: V2I4-1161

Paper Status: published

Published: July 18, 2016

Full Details

Automated Checking of PCB Circuits using Labview Vision Toolkit

LabVIEW has developed very strong vision intelligence software. The investigator has taken very useful industrial problem and has given a solution. All the PCB fabricating/Electrical and Electronic assembling organization, after culmination of the procedure physically check the PCB if every one of the segments are available or not. In the event that any segment will be missing, then it will be send back again for correction. All of these PCB industry do this procedure physically. As the creation of complete PCB is huge (in the scope of thousand and lakhs pieces for each month), thusly enormous labour and time it takes to check all PCB. Generally it takes 5-20 minutes to check each PCB relying on its complexity. So to physically check 1 lakh PCB, approximately 5-20 lacs minutes are required. It is really a huge problem for electrical and electronics industries. It is one of the biggest challenge and hurdle in PCB manufacturing industry now a days.

Published by: Manoj Kumar, Mrs. Shimi S.L

Author: Manoj Kumar

Paper ID: V2I4-1160

Paper Status: published

Published: July 18, 2016

Full Details

Indian Coin Detection by ANN and SVM

Most of the systems available recognize the coins by taking physical properties like radius, thickness etc into consideration due to which these systems can be fooled easily. To remove above discrepancy features, drawings and numerals printed on the coin could be used as the patterns for which support vector machine can be trained so that more accurate recognition results can be obtained. In Previous techniques less emphasis given on classifier function that’s why classification accuracy is not improved. For solving this problem classifier techniques can be used.

Published by: Sneha Kalra, Kapil Dewan

Author: Sneha Kalra

Paper ID: V2I4-1158

Paper Status: published

Published: July 16, 2016

Full Details

Novel Approach for Image Forgery Detection Technique based on Colour Illumination using Machine Learning Approach

With the advancement of high resolution digital cameras and photo editing software featuring new and advanced features the chances of image forgery has increased. The images can now be altered and manipulated easily. Image trustworthiness is now more in demand. Images in courtrooms for evidence, images in newspapers and magazines, and digital images used by doctors are few cases that demands for images with no manipulation. Some forgery images that result from portions copied and moved within the same image to “cover-up” something are called as copy-move forgeries. In previous year author use different-different methods such as Principle Component Analysis (PCA), Discrete Wavelet Transform (DWT) & Singular Value Decomposition (SVD) are time consuming. In past many of the algorithm were failed many times in the detection of forged image. Because single feature extraction algorithm is not capable to contain the specific feature of the images. So to overcome the limitation of existing algorithm we will use meta-fusion technique of HOG and Sasi features classifier also to overcome the limitation of SVM classifier. Logistic regression would be able to classify the forged image more precisely.

Published by: K. Sharath Chandra Reddy, Tarun Dalal

Author: K. Sharath Chandra Reddy

Paper ID: V2I4-1157

Paper Status: published

Published: July 15, 2016

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X