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A Novel Forgery Detection in Image Frames of the Videos Using Enhanced Convolutional Neural Network in Face Images

Computer Modeling in Engineering & sciences 2020年第11期125卷 625-645页

作者： S.Velliangiri J.Premalatha CMR Institute of Technology Hyderabad501401India Kongu Engineering College Erode638052India

Different devices in the recent era generated a vast amount of digital video.Generally,it has been seen in recent years that people are forging the video to use it as proof of evidence in the court of justice.Many kinds of researches on forensic detection have been presented,and it provides less accuracy.This paper proposed a novel forgery detection technique in image frames of the videos using enhanced Convolutional Neural Network(CNN).In the initial stage,the input video is taken as of the dataset and then converts the videos into image frames.Next,perform pre-sampling using the Adaptive Rood Pattern search(ARPs)algorithm intended for reducing the useless frames.In the next stage,perform preprocessing for enhancing the image frames.Then,face detection is done as of the image utilizing the Viola-Jones algorithm.Finally,the improved Crow search Algorithm(ICsA)has been used to select the extorted features and inputted to the Enhanced Convolutional Neural Network(ECNN)classifier for detecting the forged image frames.The experimental outcome of the proposed system has achieved 97.21%accuracy compared to other existing methods.

关键词： Adaptive Rood Pattern search(ARPs) Improved Crow search Algorithm(ICsA) Enhanced Convolutional Neural Network(ECNN) Viola Jones algorithm speeded Up Robust Feature(sURF)

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Multiwall Carbon Nanotube Modified Electrochemical sensor for Reactive Black 5

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American Journal of Analytical Chemistry 2011年第7期2卷 814-819页

作者： velliangiri sreeja Raman sasikumar Marimuthu Alagarsamy Paramasivam Manisankar Vellalar College for Women (Autonomous) Department of Industrial Chemistry Alagappa University

Cyclic voltammograms of reactive black5 (RB5) at different pHs in the range 1.0 - 13.0 on multiwall carbon nanotube modified glassy carbon electrode revealed the presence of one well-defined irreversible anodic peak around 975 mV in acidic and neutral pHs. Adsorption controlled oxidation observed at acidic pH 1.0 resulted in the maximum peak current response in cyclic voltammograms. A systematic differential pulse stripping voltammetric studies were carried out using the modified electrode at pH 1.0. The accumulation parameters, accumulation potential and time were optimized for maximum adsorption of the dye which was ascertained from the sEM photographs and XRD results. The stripping parameters were optimized and calibration was made under optimum conditions. The range of study was from 0.5 ppm to 100 ppm and the lower limit of determination was 100 ppm. Five identical experiments were carried out and the RsD value obtained was 2.5% suggesting good reproducibility. The proposed method was successfully applied to determine the concentration of dye in the fabric and wastewater after dyeing.

关键词： Cyclic Voltammetry Reactive Black 5 stripping Voltammetry Multiwall Carbon Nanotubes

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