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  • Open Access

    ARTICLE

    Median Filtering Detection Based on Quaternion Convolutional Neural Network

    Jinwei Wang1, 2, 3, 4, Qiye Ni3, Yang Zhang3, Xiangyang Luo2, *, Yunqing Shi5, Jiangtao Zhai3, Sunil Kr Jha3

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 929-943, 2020, DOI:10.32604/cmc.2020.06569 - 23 July 2020

    Abstract Median filtering is a nonlinear signal processing technique and has an advantage in the field of image anti-forensics. Therefore, more attention has been paid to the forensics research of median filtering. In this paper, a median filtering forensics method based on quaternion convolutional neural network (QCNN) is proposed. The median filtering residuals (MFR) are used to preprocess the images. Then the output of MFR is expanded to four channels and used as the input of QCNN. In QCNN, quaternion convolution is designed that can better mix the information of different channels than traditional methods. The More >

  • Open Access

    ARTICLE

    Robust Core Tensor Dictionary Learning with Modified Gaussian Mixture Model for Multispectral Image Restoration

    Leilei Geng1, Chaoran Cui1, Qiang Guo1, Sijie Niu2, Guoqing Zhang3, Peng Fu4, *

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 913-928, 2020, DOI:10.32604/cmc.2020.09975 - 23 July 2020

    Abstract The multispectral remote sensing image (MS-RSI) is degraded existing multispectral camera due to various hardware limitations. In this paper, we propose a novel core tensor dictionary learning approach with the robust modified Gaussian mixture model for MS-RSI restoration. First, the multispectral patch is modeled by three-order tensor and high-order singular value decomposition is applied to the tensor. Then the task of MS-RSI restoration is formulated as a minimum sparse core tensor estimation problem. To improve the accuracy of core tensor coding, the core tensor estimation based on the robust modified Gaussian mixture model is introduced More >

  • Open Access

    ARTICLE

    Design and Implementation of PLC-Based Autonomous Construction System of Unmanned Vibratory Roller

    Weizu Huang1, Dong Wang1, *, Zuodong Xiao1, Qiang Yao2, Danjie Du3

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 897-912, 2020, DOI:10.32604/cmc.2020.09728 - 23 July 2020

    Abstract The vibratory roller is a piece of vital construction machinery in the field of road construction. The unmanned vibratory roller efficiently utilizes the automated driving technology in the vehicle engineering field, which is innovative for the unmanned road construction. This paper develops and implements the autonomous construction system for the unmanned vibratory roller. Not only does the roller have the function of remote-controlled driving, but it also has the capability of autonomous road construction. The overall system design uses the Programmable Logic Controller (PLC) as the kernel controller. It establishes the communication network through multiple More >

  • Open Access

    ARTICLE

    Device-Independent Quantum Key Distribution Protocol Based on Hyper-Entanglement

    Yan Chang1, *, Shibin Zhang1, Lili Yan1, Xueyang Li1, Tian Cao1, Qirun Wang2

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 879-896, 2020, DOI:10.32604/cmc.2020.010042 - 23 July 2020

    Abstract The secure key rate of quantum key distribution (QKD) is greatly reduced because of the untrusted devices. In this paper, to raise the secure key rate of QKD, a device-independent quantum key distribution (DIQKD) protocol is proposed based on hyper-entangled states and Bell inequalities. The security of the protocol is analyzed against the individual attack by an adversary only limited by the no-signaling condition. Based on the formalization of Clauser-Horne Shimony-Holt (CHSH) violation measurement on local correlation, the probability of a secure secret bit is obtained, which is produced by a pair of hyper-entangled particles. More >

  • Open Access

    ARTICLE

    The Optimization Study about Fault Self-Healing Restoration of Power Distribution Network Based on Multi-Agent Technology

    Fuquan Huang1, Zijun Liu1, Tinghuang Wang1, Haitai Zhang2, *, Tony Yip3

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 865-878, 2020, DOI:10.32604/cmc.2020.010724 - 23 July 2020

    Abstract In order to quickly and accurately locate the fault location of the distribution network and increase the stability of the distribution network, a fault recovery method based on multi-objective optimization algorithm is proposed. The optimization of the power distribution network fault system based on multiagent technology realizes fast recovery of multi-objective fault, solve the problem of network learning and parameter adjustment in the later stage of particle swarm optimization algorithm falling into the local extreme value dilemma, and realize the multi-dimensional nonlinear optimization of the main grid and the auxiliary grid. The system proposed More >

  • Open Access

    ARTICLE

    Automated Dimensioning Method of Engineering Drawings for Mechanical Products Based on Curve Chain

    Gui Li1, *, Peng Yang2

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 847-863, 2020, DOI:10.32604/cmc.2020.011398 - 23 July 2020

    Abstract An automated method based on the curve chain was proposed for dimensioning of engineering drawings for the mechanical products. According to the internal relation between the features of 3D model feature and elements of 2D drawing, the curve chain was established to reflect the geometric topological structure between the elements. It divides the dimensions into the absolute dimensions within the cure chain and the relative dimensions between the curve chains. The parallel and lengthy relationship between the drawing elements of the constructed X and Y parallel matrix was solved to remove redundant elements in the… More >

  • Open Access

    ARTICLE

    RFID Based Non-Preemptive Random Sleep Scheduling in WSN

    Tianle Zhang1, Lihua Yin1, Xiang Cui1, *, Abhishek Behl2, Fuqiang Dong3, Ziheng Cheng4, Kuo Ma4

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 835-845, 2020, DOI:10.32604/cmc.2020.06050 - 23 July 2020

    Abstract In Wireless Sensor Network (WSN), because battery and energy supply are constraints, sleep scheduling is always needed to save energy while maintaining connectivity for packet delivery. Traditional schemes have to ensure high duty cycling to ensure enough percentage of active nodes and then derogate the energy efficiency. This paper proposes an RFID based non-preemptive random sleep scheduling scheme with stable low duty cycle. It employs delay tolerant network routing protocol to tackle the frequent disconnections. A low-power RFID based non-preemptive wakeup signal is used to confirm the availability of next-hop before sending packet. It eliminates More >

  • Open Access

    ARTICLE

    Automated Chinese Essay Scoring Based on Deep Learning

    Shuai Yuan1, Tingting He2, 3, *, Huan Huang4, Rui Hou5, Meng Wang6

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 817-833, 2020, DOI:10.32604/cmc.2020.010471 - 23 July 2020

    Abstract Writing is an important part of language learning and is considered the best approach to demonstrate the comprehensive language skills of students. Manually grading student essays is a time-consuming task; however, it is necessary. An automated essay scoring system can not only greatly improve the efficiency of essay scoring, but also provide more objective score. Therefore, many researchers have been exploring automated essay scoring techniques and tools. However, the technique of scoring Chinese essays is still limited, and its accuracy needs to be enhanced further. To improve the accuracy of the scoring model for a… More >

  • Open Access

    ARTICLE

    Image Deblurring of Video Surveillance System in Rainy Environment

    Jinxing Niu1, *, Yajie Jiang1, Yayun Fu1, Tao Zhang1, Nicola Masini2

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 807-816, 2020, DOI:10.32604/cmc.2020.011044 - 23 July 2020

    Abstract Video surveillance system is used in various fields such as transportation and social life. The bad weather can lead to the degradation of the video surveillance image quality. In rainy environment, the raindrops and the background are mixed, which lead to make the image degradation, so the removal of the raindrops has great significance for image restoration. In this article, after analyzing the inter-frame difference method in detecting and removing raindrops, a background difference method is proposed based on Gaussian model. In this method, the raindrop is regarded as a moving object relative to the… More >

  • Open Access

    ARTICLE

    Identification of Parameters in 2D-FEM of Valve Piping System within NPP Utilizing Seismic Response

    Ruiyuan Xue1, Shurong Yu1, *, Xiheng Zhang1

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 789-805, 2020, DOI:10.32604/cmc.2020.011340 - 23 July 2020

    Abstract Nuclear power plants (NPP) contain plenty of valve piping systems (VPS’s) which are categorized into high anti-seismic grades. Tasks such as seismic qualification, health monitoring and damage diagnosis of VPS’s in its design and operation processes all depend on finite element method. However, in engineering practice, there is always deviations between the theoretical and the measured responses due to the inaccurate value of the structural parameters in the model. The structure parameters identification of VPS within NPP is still an unexplored domain to a large extent. In this paper, the initial 2Dfinite element model (FEM)… More >

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