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  • Open Access

    ARTICLE

    A Simplified Model for Buckling and Post-Buckling Analysis of Cu Nanobeam Under Compression

    Jiachen Guo1,2, Yunfei Xu2, Zhenyu Jiang1,*, Xiaoyi Liu2, Yang Cai2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 611-623, 2020, DOI:10.32604/cmes.2020.011148 - 12 October 2020

    Abstract Both of Buckling and post-buckling are fundamental problems of geometric nonlinearity in solid mechanics. With the rapid development of nanotechnology in recent years, buckling behaviors in nanobeams receive more attention due to its applications in sensors, actuators, transistors, probes, and resonators in nanoelectromechanical systems (NEMS) and biotechnology. In this work, buckling and post-buckling of copper nanobeam under uniaxial compression are investigated with theoretical analysis and atomistic simulations. Different cross sections are explored for the consideration of surface effects. To avoid complicated high order buckling modes, a stressbased simplified model is proposed to analyze the critical… More >

  • Open Access

    ARTICLE

    Investigate the Effect of the Magnetic Field on the Mechanical Properties of Silicone Rubber-Based Anisotropic Magnetorheological Elastomer during Curing Process

    Tao Li1,2, Ali Abd El-Aty1,2,4, Cheng Cheng1,2, Yizhou Shen1,2, Cong Wu1,2, Qiucheng Yang1,2, Shenghan Hu1,2, Yong Xu3, Jie Tao1,2,*, Xunzhong Guo1,2,*

    Journal of Renewable Materials, Vol.8, No.11, pp. 1411-1427, 2020, DOI:10.32604/jrm.2020.012939 - 28 September 2020

    Abstract In this investigation, a new silicone rubber-based MRE material was prepared to be used as a forming medium in manufacturing thin-walled complex- shaped Ni-based tubes through the bulging process. Thus, it is significant to investigate the effect of magnetic field intensity, magnetic field loading time, and angle on the mechanical properties of the prepared MRE material during the curing process. The obtained results showed that increasing the magnetic field intensity during the curing process can improve the orientation of the chain structure in the elastomer matrix effectively. However, its mechanical properties are the best… More >

  • Open Access

    ARTICLE

    Optimal Mode Decision Method for Interframe Prediction in H.264/AVC

    Hongjin Zhu1, Honghui Fan1, *, Zhenqiu Shu1, Congzhe You1, Xiangjun Chen1, Qian Yu1, Pengzhen Gan2

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2425-2439, 2020, DOI:10.32604/cmc.2020.011841 - 16 September 2020

    Abstract Studies show that encoding technologies in H.264/AVC, including prediction and conversion, are essential technologies. However, these technologies are more complicated than the MPEG-4, which is a standard method and widely adopted worldwide. Therefore, the amount of calculation in H.264/AVC is significantly up-regulated compared to that of the MPEG-4. In the present study, it is intended to simplify the computational expenses in the international standard compression coding system H.264/AVC for moving images. Inter prediction refers to the most feasible compression technology, taking up to 60% of the entire encoding. In this regard, prediction error and motion… More >

  • Open Access

    ARTICLE

    MoTransFrame: Model Transfer Framework for CNNs on Low-Resource Edge Computing Node

    Panyu Liu1, Huilin Ren2, Xiaojun Shi3, Yangyang Li4, *, Zhiping Cai1, Fang Liu5, Huacheng Zeng6

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2321-2334, 2020, DOI:10.32604/cmc.2020.010522 - 16 September 2020

    Abstract Deep learning technology has been widely used in computer vision, speech recognition, natural language processing, and other related fields. The deep learning algorithm has high precision and high reliability. However, the lack of resources in the edge terminal equipment makes it difficult to run deep learning algorithms that require more memory and computing power. In this paper, we propose MoTransFrame, a general model processing framework for deep learning models. Instead of designing a model compression algorithm with a high compression ratio, MoTransFrame can transplant popular convolutional neural networks models to resources-starved edge devices promptly and More >

  • Open Access

    ARTICLE

    Image Information Hiding Method Based on Image Compression and Deep Neural Network

    Xintao Duan1, *, Daidou Guo1, Chuan Qin2

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 721-745, 2020, DOI:10.32604/cmes.2020.09463 - 20 July 2020

    Abstract Image steganography is a technique that hides secret information into the cover image to protect information security. The current image steganography is mainly to embed a smaller secret image in an area such as a texture of a larger-sized cover image, which will cause the size of the secret image to be much smaller than the cover image. Therefore, the problem of small steganographic capacity needs to be solved urgently. This paper proposes a steganography framework that combines image compression. In this framework, the Vector Quantized Variational AutoEncoder (VQ-VAE) is used to achieve the compression More >

  • Open Access

    ARTICLE

    A Distributed Covert Channel of the Packet Ordering Enhancement Model Based on Data Compression

    Lejun Zhang1, Tianwen Huang1, Xiaoyan Hu1, Zhijie Zhang1, Weizheng Wang2, Donghai Guan3, *, Chunhui Zhao1, 4, Seokhoon Kim5

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 2013-2030, 2020, DOI:10.32604/cmc.2020.011219 - 30 June 2020

    Abstract Covert channel of the packet ordering is a hot research topic. Encryption technology is not enough to protect the security of both sides of communication. Covert channel needs to hide the transmission data and protect content of communication. The traditional methods are usually to use proxy technology such as tor anonymous tracking technology to achieve hiding from the communicator. However, because the establishment of proxy communication needs to consume traffic, the communication capacity will be reduced, and in recent years, the tor technology often has vulnerabilities that led to the leakage of secret information. In… More >

  • Open Access

    ARTICLE

    Constructive Texture Steganography Based on Compression Mapping of Secret Messages

    Fengyong Li1, *, Zongliang Yu1, Chuan Qin2

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 393-410, 2020, DOI:10.32604/cmes.2020.09452 - 19 June 2020

    Abstract This paper proposes a new constructive texture synthesis steganographic scheme by compressing original secret messages. First, we divide the original message into multiple bit blocks, which are transferred to decimal values and compressed into small decimal values by recording their interval sign characters. Then, a candidate pattern is generated by combining the given source pattern and boundary extension algorithm. Furthermore, we segment the candidate pattern into multiple candidate patches and use affine transformation algorithm to locate secret positions on a blank canvas, which are used to hide the sign characters by mapping the candidate patches. More >

  • Open Access

    ARTICLE

    Text Compression Based on Letter’s Prefix in the Word

    Majed AbuSafiya1, *

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 17-30, 2020, DOI:10.32604/cmc.2020.09282 - 20 May 2020

    Abstract Huffman [Huffman (1952)] encoding is one of the most known compression algorithms. In its basic use, only one encoding is given for the same letter in text to compress. In this paper, a text compression algorithm that is based on Huffman encoding is proposed. Huffman encoding is used to give different encodings for the same letter depending on the prefix preceding it in the word. A deterministic finite automaton (DFA) that recognizes the words of the text is constructed. This DFA records the frequencies for letters that label the transitions. Every state will correspond to More >

  • Open Access

    ARTICLE

    Sliding-Mode PID Control of UAV Based on Particle Swarm Parameter Tuning

    Yunping Liu1, 2, *, Xingxing Yan1, Fei Yan1, Ze Xu1, Weiyan Shang3

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 469-487, 2020, DOI:10.32604/cmc.2020.05746 - 30 March 2020

    Abstract Due to the coupled motion between the rotor unmanned aerial vehicle (UAV) and the manipulator, the underactuation characteristics of the system itself, and the influence of external uncertainties, the stability of the rotor UAV’s manipulator control system is difficult to control. Based on the dynamic model of the rotor UAV, the stability of the whole UAV manipulator control system is improved by using the piecewise cost function, the compression factor particle swarm optimization (PSO) algorithm and the sliding mode PID to establish the sliding mode PID control stability method based on the PSO. Compared with More >

  • Open Access

    ARTICLE

    Experimental Simulation and Numerical Modeling of Deformation and Damage Evolution of Pre-Holed Sandstones After Heat Treatment

    Shuo Yang1, Yuanhai Li1, 2, ∗, Xiaojie Tang1, 2, Jinshan Liu1, 2

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 633-659, 2020, DOI:10.32604/cmes.2020.07919 - 01 February 2020

    Abstract The deformation and damage evolution of sandstone after heat treatment greatly influence the efficient and safe development of deep geothermal energy extraction. To investigate this issue, laboratory confined compression tests and numerical simulations were conducted on pre-holed sandstone specimens after heat treatment. The laboratory test results show that the failure modes are closely related to the heat treatment temperature, with increasing treatment temperature, the failure modes change from mixed and shear modes to a splitting mode. The cracks always initiate from the sidewalls of the hole and then propagate. The failure process inside the hole… More >

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