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Reinforced CNN Forensic discriminator to Detect Document Forgery by DCGAN

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Computers, Materials & Continua 2022年第6期71卷 6039-6051页

作者： Seo-young Lim Jeongho Cho Department of Electrical Engineering Soonchunhyang UniversityAsan31538Korea

Recently,the technology of digital image forgery based on a generative adversarial network(GAN)has considerably improved to the extent that it is difficult to distinguish it from the original image with the naked eye by compositing and editing a person’s face or a specific part with the original ***,much attention has been paid to digital image forgery as a social ***,document forgery through GANs can completely change the meaning and context in a document,and it is difficult to identify whether the document is forged or not,which is ***,few studies have been conducted on document forgery and new forgery-related attacks have emerged ***,in this study,we propose a novel convolutional neural network(CNN)forensic discriminator that can detect forged text or numeric images by GANs using CNNs,which have been widely used in image classification for many *** strengthen the detection performance of the proposed CNN forensic discriminator,CNN was trained after image preprocessing,including salt and pepper as well asGaussian ***,we performed CNN optimization to make existing CNN more suitable for forged text or numeric image detection,which have mainly focused on the discrimination of forged faces to *** test evaluation results using Hangul texts and numbers showed that the accuracy of forgery discrimination of the proposed method was significantly improved by 20%in Hangul texts and 5%in numbers compared with that of existing state-of-the-art methods,which proved the proposed model performance superiority and verified that it could be a useful tool in reducing crime potential.

关键词： Digital forensics CNN GAN discriminator image processing

A Multi-Task Motion Generation Model that Fuses a discriminator and a Generator

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Computers, Materials & Continua 2023年第7期76卷 543-559页

作者： Xiuye Liu Aihua Wu School of Information Engineering Shanghai Maritime UniversityShanghai201306China

The human motion generation model can extract structural features from existing human motion capture data,and the generated data makes animated characters *** 3D human motion capture sequences contain complex spatial-temporal structures,and the deep learning model can fully describe the potential semantic structure of human *** improve the authenticity of the generated human motion sequences,we propose a multi-task motion generation model that consists of a discriminator and a *** discriminator classifies motion sequences into different styles according to their similarity to the mean spatial-temporal templates from motion sequences of 17 crucial human joints in three-freedom *** target motion sequences are created with these styles by the *** traditional related works,our model can handle multiple tasks,such as identifying styles and generating *** addition,by extracting 17 crucial joints from 29 human joints,our model avoids data redundancy and improves the accuracy of model *** experimental results show that the discriminator of the model can effectively recognize diversified movements,and the generated data can correctly fit the actual *** combination of discriminator and generator solves the problem of low reuse rate of motion data,and the generated motion sequences are more suitable for actual movement.

关键词： Human motion discriminator generator human motion generation model multi-task processing performance motion style

Analog rise-time discriminator for CdZnTe detector

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Nuclear Science and Techniques 2017年第4期28卷 59-65页

作者： Chuan-Hao Hu Guo-Qiang Zeng Liang-Quan Ge Shi-Long Wei Jian Yang Qiang Li Hong-Zhi Li Chengdu University of Technology Chengdu 610059 China National Ocean Technology Center Tianjin 300112 China

Due to variable time for charge collection,energy resolution of nuclear detectors declines,especially compound semiconductor detectors like cadmium zinc telluride(CdZnTe) *** solve this problem,an analog rise-time discriminator based on charge comparison principle is *** reference charge signal after attenuation is compared with the deconvoluted and delayed current *** is found that the amplitude of delayed current signal is higher than that of the reference charge signal when rise time of the input signal is shorter than the discrimination time,thus generating gating signal and triggering DMCA(digital multi-channel analyzer) to receive the total integral charge *** rise time of the input signal is longer than discrimination time,DMCA remains inactivated and the corresponding total integral charge signal is *** results show that combination of the designed rise-time discriminator and DMCA can reduce hole tailing of CdZnTe detector *** resolution of the system is 0.98%@662 keV,and it is still excellent under high counting rates.

关键词： Analog rise-time discriminator CdZnTe detector Charge comparison principle

Analysis of Multipath and CW Interference Effects on GNSS Receivers with EMLP discriminator

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Communications and Network 2013年第3期5卷 80-85页

作者： Bo Qu Jiaolong Wei Shuangna Zhang Liang Bi Department of Electronic and Information Engineering Huazhong University of Science and Technology China Space Star Technology Co. Ltd China

Multipath and continuous wave (CW) interference may cause severe performance degradation of global navigation satellite system (GNSS) receivers. This paper analyzes the code tracking performance of early-minus-late power (EMLP) discriminator of GNSS receivers in the presence of multipath and CW interference. An analytical expression of the code tracking error is suggested for EMLP discriminator, and it can be used to assess the effect of multipath and CW interference. The derived expression shows that the combined effects include three components: multipath component;CW interference component and the combined component of multipath and CW interference. The effect of these components depends on some factors which can be classified into two categories: the receiving environment and the receiver parameters. Numerical results show how these factors affect the tracking performances. It is shown that the proper receiver parameters can suppress the combined effects of multipath and CW interference.

关键词： Analysis of Multipath and CW Interference Effects on GNSS Receivers with EMLP discriminator

Mathematical Model of Non-Coherent-DLL discriminator Output and Multipath Envelope Error for BOC (α, β) Modulated Signals

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Positioning 2013年第1期4卷 65-79页

作者： Khaled Rouabah Chebir Saifeddine Salim Atia Mustapha Flissi Djamel Chikouche Electronics Department LMSE Laboratory University of Mohamed El-Bachir El-Ibrahimi Bordj Bou Arréridj Algeria Electronis Department LIS Laboratory University of M’sila M’sila Algeria

In this paper we propose the derivation of the expressions for the non-coherent Delay Locked Loop (DLL) discriminator Curve (DC) in the absence and presence of Multipath (MP). Also derived, are the expressions of MP tracking errors in non-coherent configuration. The proposed models are valid for all Binary Offset Carrier (BOC) modulated signals in Global Navigation Satellite Systems (GNSS) such as Global Positioning System (GPS) and Future Galileo. The non-coherent configuration is used whenever the phase of the received signal cannot be estimated and thus cannot be demodulated. Therefore, the signal must be treated in a transposed band by the non-coherent DLL. The computer implementations show that the proposed models coincide with the numerical ones.

关键词： BOC Modulation GNSS PRN Code Multipath discriminator Envelope Error

I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

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China Foundry 2024年第3期21卷 239-247页

作者： Ming-jun Hou Hao Dong Xiao-yuan Ji Wen-bing Zou Xiang-sheng Xia Meng Li Ya-jun Yin Bao-hui Li Qiang Chen Jian-xin Zhou State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China Xinjiang Technology(Jiangsu)Co. Ltd.Nantong 226100JiangsuChina Southwest Technique and Engineering Research Institute Chongqing 400039China Shanghai Spaceflight Precision Machinery Institute Shanghai 201600China

The intelligent detection technology driven by X-ray images and deep learning represents the forefront of advanced techniques and development trends in flaw detection and automated evaluation of light alloy ***,the efficacy of deep learning models hinges upon a substantial abundance of flaw *** existing research on X-ray image augmentation for flaw detection suffers from shortcomings such as poor diversity of flaw samples and low reliability of quality *** this end,a novel approach was put forward,which involves the creation of the Interpolation-Deep Convolutional Generative Adversarial Network(I-DCGAN)for flaw detection image generation and a comprehensive evaluation algorithm named TOPSIS-IFP.I-DCGAN enables the generation of high-resolution,diverse simulated images with multiple appearances,achieving an improvement in sample diversity and quality while maintaining a relatively lower computational ***-IFP facilitates multi-dimensional quality evaluation,including aspects such as diversity,authenticity,image distribution difference,and image distortion *** results indicate that the X-ray radiographic images of magnesium and aluminum alloy castings achieve optimal performance when trained up to the 800th and 600th epochs,*** TOPSIS-IFP value reaches 78.7%and 73.8%similarity to the ideal solution,*** to single index evaluation,the TOPSIS-IFP algorithm achieves higher-quality simulated images at the optimal training *** approach successfully mitigates the issue of unreliable quality associated with single index *** image generation and comprehensive quality evaluation method developed in this paper provides a novel approach for image augmentation in flaw recognition,holding significant importance for enhancing the robustness of subsequent flaw recognition networks.

关键词： light alloy casting flaw detection image generator discriminator comprehensive evaluation index

Copy-Move Geometric Tampering Estimation Through Enhanced SIFT Detector Method

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Computer Systems Science & Engineering 2023年第1期44卷 157-171页

作者： J.S.Sujin S.Sophia Department of Electronics and Communication Engineering Sri Krishna College of TechnologyCoimbatore641042India Department of Electronics and Communication Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India

Digital picture forgery detection has recently become a popular and sig-nificant topic in image *** to advancements in image processing and the availability of sophisticated software,picture fabrication may hide evidence and hinder the detection of such criminal *** practice of modifying origi-nal photographic images to generate a forged image is known as digital image forging.A section of an image is copied and pasted into another part of the same image to hide an item or duplicate particular image elements in copy-move *** order to make the forgeries real and inconspicuous,geometric or post-processing techniques are frequently performed on tampered regions during the tampering *** Copy-Move forgery detection,the high similarity between the tampered regions and the source regions has become crucial *** most frequent way for detecting copy-move forgeries is to partition the images into overlapping square blocks and utilize Discrete cosine transform(DCT)com-ponents as block *** to the high dimensionality of the feature space,Gaussian Radial basis function(RBF)kernel based Principal component analysis(PCA)is used to minimize the dimensionality of the feature vector repre-sentation,which improves feature matching *** this paper,we propose to use a novel enhanced Scale-invariant feature transform(SIFT)detector method called as RootSIFT,combined with the similarity measures to mark the tampered areas in the *** proposed method outperforms existing state-of-the-art methods in terms of matching time complexity,detection reliability,and forgery location accuracy,according to the experimental *** F1 score of the proposed method is 92.3%while the literature methods are around 90%on an average.

关键词： Multi sensor data fusion discriminator orientation pose position mean average precision recall

Deep Learning-Based Robust Morphed Face Authentication Framework for Online Systems

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Computers, Materials & Continua 2023年第10期77卷 1123-1142页

作者： Harsh Mankodiya Priyal Palkhiwala Rajesh Gupta Nilesh Kumar Jadav Sudeep Tanwar Osama Alfarraj Amr Tolba Maria Simona Raboaca Verdes Marina Department of Computer Science and Engineering Institute of TechnologyNirma UniversityAhmedabad382481India Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Doctoral School University Politehnica of BucharestBucharest060042Romania Department of Hydrogen and Fuel Cell National Research and Development Institute for Cryogenics and Isotopic TechnologiesRamnicu Valcea240050Romania Department of Building Services Faculty of Civil Engineering and Building ServicesTechnical University of Gheorghe AsachiIasi700050Romania

The amalgamation of artificial intelligence(AI)with various areas has been in the picture for the past few *** has enhanced the functioning of several services,such as accomplishing better budgets,automating multiple tasks,and data-driven *** hassle-free polling has been one of ***,at the onset of the coronavirus in 2020,almost all worldly affairs occurred online,and many sectors switched to digital *** allows attackers to find security loopholes in digital systems and exploit them for their lucrative *** paper proposes a three-layered deep learning(DL)-based authentication framework to develop a secure online polling *** provides a novel way to overcome security breaches during the face identity(ID)recognition and verification process for online polling *** verification is done by training a pixel-2-pixel Pix2pix generative adversarial network(GAN)for face image reconstruction to remove facial objects present(if any).Furthermore,image-to-image matching is done by implementing the Siamese network and comparing the result of various metrics executed on feature embeddings to obtain the outcome,thus checking the electorate credentials.

关键词： Artificial intelligence discriminator generator Pix2pix GANs Kullback-Leibler(KL)-divergence online voting system Siamese network

Readout electronics of a prototype time-of-flight ion composition analyzer for space plasma

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Nuclear Science and Techniques 2018年第4期29卷 98-107页

作者： Di Yang Zhe Cao Xin-Jun Hao Yi-Ren Li Shu-Bin Liu Chang-Qing Feng Qi An State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China Division of Space Physics University of Science and Technology of China Hefei 230026 China CAS Key Laboratory of Geospace Environment Hefei 230026 China

Readout electronics is developed for a prototype time-of-flight(TOF) ion composition spectrometer for in situ measurement of the mass/charge distributions of major ion species from 200 to 100 ke V/e in space *** utilizing a constant fraction discriminator(CFD) and time-to-digital converter(TDC), challenging dynamic range measurements were performed with high time resolution and event rates. CFD was employed to discriminate the TOF signals from the micro-channel plate and channel electron multipliers. TDC based on the combination of counter and OR-gate delay chain was designed in a highreliability flash field programmable gate array. Owing to the non-uniformity of the delay chain, a correction algorithm based on integral nonlinearity compensation was implemented to reduce the time uncertainty. The test results showed that the electronics achieved a low timingerror of < 200 ps in the input range from 35 to 500 m V for the CFD, and a time resolution of ～550 ps with time uncertainty < 180 ps after correction and a time range of6.4 ls for the TDC. The TOF spectrum from an electron beam experiment of the impacting N_2 gas further indicated the good performance of this readout electronic.

关键词： Space plasma Ion composition analyzer Readout electronics Constant fraction discriminator Time-to-digital converter