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  • Open Access

    ARTICLE

    Efficient Three-Dimensional Video Cybersecurity Framework Based on Double Random Phase Encoding

    Osama S. Faragallah1,*, Walid El-Shafai2, Ashraf Afifi1, Ibrahim Elashry3, Mohammed A. AlZain1, Jehad F. Al-Amri1, Ben Soh4, Heba M. El-Hoseny5, Hala S. El-Sayed6, Fathi E.Abd El-Samie2

    Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 353-367, 2021, DOI:10.32604/iasc.2021.016865

    Abstract With the rapidly increasing rate of using online services and social media websites, cybercriminals have caused a great deterioration in the network security with enormous undesired consequences. Encryption techniques may be utilized to achieve data robustness and security in digital multimedia communication systems. From this perspective, this paper presents an optical ciphering framework using Double Random Phase Encoding (DRPE) for efficient and secure transmission of Three-Dimensional Videos (3DVs). Firstly, in the DRPE-based 3DV cybersecurity framework proposed in the paper, an optical emitter converts each frame of the transmitted 3DV into an optical signal. Then, the DRPE technique encrypts the obtained… More >

  • Open Access

    ARTICLE

    Three-Dimensional Modeling of the Retinal Vascular Tree via Fractal Interpolation

    Hichem Guedri1,*, Abdullah Bajahzar2, Hafedh Belmabrouk3

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 59-77, 2021, DOI:10.32604/cmes.2021.013632

    Abstract In recent years, the three dimensional reconstruction of vascular structures in the field of medical research has been extensively developed. Several studies describe the various numerical methods to numerical modeling of vascular structures in near-reality. However, the current approaches remain too expensive in terms of storage capacity. Therefore, it is necessary to find the right balance between the relevance of information and storage space. This article adopts two sets of human retinal blood vessel data in 3D to proceed with data reduction in the first part and then via 3D fractal reconstruction, recreate them in a second part. The results… More >

  • Open Access

    ARTICLE

    An Error-Correcting Code-Based Robust Watermarking Scheme for Stereolithographic Files

    Zhuorong Li1, Huawei Tian2,*, Yanhui Xiao2, Yunqi Tang1, Anhong Wang3

    Computer Systems Science and Engineering, Vol.37, No.2, pp. 247-263, 2021, DOI:10.32604/csse.2021.013898

    Abstract Stereolithographic (STL) files have been extensively used in rapid prototyping industries as well as many other fields as watermarking algorithms to secure intellectual property and protect three-dimensional models from theft. However, to the best of our knowledge, few studies have looked at how watermarking can resist attacks that involve vertex-reordering. Here, we present a lossless and robust watermarking scheme for STL files to protect against vertex-reordering attacks. Specifically, we designed a novel error-correcting code (ECC) that can correct the error of any one-bit in a bitstream by inserting several check digits. In addition, ECC is designed to make use of… More >

  • Open Access

    ARTICLE

    Three-Dimensional Measurement Using Structured Light Based on Deep Learning

    Tao Zhang1,*, Jinxing Niu1, Shuo Liu1, Taotao Pan1, Brij B. Gupta2,3

    Computer Systems Science and Engineering, Vol.36, No.1, pp. 271-280, 2021, DOI:10.32604/csse.2021.014181

    Abstract Three-dimensional (3D) reconstruction using structured light projection has the characteristics of non-contact, high precision, easy operation, and strong real-time performance. However, for actual measurement, projection modulated images are disturbed by electronic noise or other interference, which reduces the precision of the measurement system. To solve this problem, a 3D measurement algorithm of structured light based on deep learning is proposed. The end-to-end multi-convolution neural network model is designed to separately extract the coarse- and fine-layer features of a 3D image. The point-cloud model is obtained by nonlinear regression. The weighting coefficient loss function is introduced to the multi-convolution neural network,… More >

  • Open Access

    ARTICLE

    Mathematical Interpolation and Correction of Three-Dimensional Modelling of High-Speed Railway

    Jun Gao1,2,*, Xiao Lin3

    Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1023-1034, 2020, DOI:10.32604/iasc.2020.010134

    Abstract Three-dimensional (3D) modelling of high-speed railways, bad geology, and special geotechnical engineering inferences may involve problems, such as inaccurate geological data, hidden underground geological phenomena, and complex geological processes. In this study, surface geological boundaries, drainage, transportation networks, covers, lenses, and small geological units are established using topographic surveying and mapping data, geological data, and geological exploration data acquisition. The 3D model of the karst system combines geological and mathematical interpolation curved surface 3D model simulation analysis, trend surface fitting, and interpolation of the NURBS surface and correct analysis. The model is used to describe the properties of objects, including… More >

  • Open Access

    ARTICLE

    Prediction and Analysis of Post-Treatment of Sustainable Walnut Shell/Co-PES Parts by Laser Sintering

    Yueqiang Yu1, Suling Wang1,*, Minzheng Jiang1, Yanling Guo2,3, Ting Jiang1,*

    Journal of Renewable Materials, Vol.9, No.2, pp. 351-364, 2021, DOI:10.32604/jrm.2021.012885

    Abstract In order to enhance the strength of sustainable walnut shell/Co-PES (WSPC) sintered parts, wax-filtrated post-treatment was carried out. The effects of treating fluid temperature, preheating time and immersion time on the bending strength of WSPC wax-filtrated parts were analyzed by single factor analysis method. To obtain an accurate model for predicting the bending strength of the WSPC wax-filtrated part, the experiments were involved by using Box-Behnken design (BBD). Main parameters, such as treating fluid temperature, preheating time and immersion time, and their interactive effects were analyzed through analysis of variance (ANOVA) and graphical contours. The results demonstrated that all parameters’… More >

  • Open Access

    ARTICLE

    Three-Dimensional Distance-Error-Correction-Based Hop Localization Algorithm for IoT Devices

    Deepak Prashar1, Gyanendra Prasad Joshi2, Sudan Jha1, Eunmok Yang3, Kwang Chul Son4,*

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1529-1549, 2021, DOI:10.32604/cmc.2020.012986

    Abstract The Internet of Things (IoT) is envisioned as a network of various wireless sensor nodes communicating with each other to offer state-of-the-art solutions to real-time problems. These networks of wireless sensors monitor the physical environment and report the collected data to the base station, allowing for smarter decisions. Localization in wireless sensor networks is to localize a sensor node in a two-dimensional plane. However, in some application areas, such as various surveillances, underwater monitoring systems, and various environmental monitoring applications, wireless sensors are deployed in a three-dimensional plane. Recently, localization-based applications have emerged as one of the most promising services… More >

  • Open Access

    ARTICLE

    Three-Dimensional Meshfree Analysis of Interlocking Concrete Blocks for Step Seawall Structure

    Hau Nguyen-Ngoc1,2, H. Nguyen-Xuan3, Magd Abdel-Wahab4,5,*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 165-178, 2021, DOI:10.32604/cmc.2020.012948

    Abstract This study adapts the flexible characteristic of meshfree method in analyzing three-dimensional (3D) complex geometry structures, which are the interlocking concrete blocks of step seawall. The elastostatic behavior of the block is analysed by solving the Galerkin weak form formulation over local support domain. The 3D moving least square (MLS) approximation is applied to build the interpolation functions of unknowns. The pre-defined number of nodes in an integration domain ranging from 10 to 60 nodes is also investigated for their effect on the studied results. The accuracy and efficiency of the studied method on 3D elastostatic responses are validated through… More >

  • Open Access

    ARTICLE

    Dual Branches of MHD Three-Dimensional Rotating Flow of Hybrid Nanofluid on Nonlinear Shrinking Sheet

    Liaquat Ali Lund1,2,*, Zurni Omar1, Ilyas Khan3, El-Sayed M. Sherif4,5

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 127-139, 2021, DOI:10.32604/cmc.2020.013120

    Abstract In this study, magnetohydrodynamic (MHD) three-dimensional (3D) flow of alumina (Al2O3) and copper (Cu) nanoparticles of an electrically conducting incompressible fluid in a rotating frame has been investigated. The shrinking surface generates the flow that also has been examined. The single-phase (i.e., Tiwari and Das) model is implemented for the hybrid nanofluid transport phenomena. Results for alumina and copper nanomaterials in the water base fluid are achieved. Boundary layer approximations are used to reduce governing partial differential (PDEs) system into the system of the ordinary differential equations (ODEs). The three-stage Lobatto IIIa method in bvp4c solver is applied for solutions… More >

  • Open Access

    ARTICLE

    Polynomials of Degree-Based Indices for Three-Dimensional Mesh Network

    Ali N. A. Koam1, Ali Ahmad2, *

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1271-1282, 2020, DOI:10.32604/cmc.2020.011736

    Abstract In order to study the behavior and interconnection of network devices, graphs structures are used to formulate the properties in terms of mathematical models. Mesh network (meshnet) is a LAN topology in which devices are connected either directly or through some intermediate devices. These terminating and intermediate devices are considered as vertices of graph whereas wired or wireless connections among these devices are shown as edges of graph. Topological indices are used to reflect structural property of graphs in form of one real number. This structural invariant has revolutionized the field of chemistry to identify molecular descriptors of chemical compounds.… More >

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