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  • Open Access

    ARTICLE

    Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map

    K. Priyadarsini1, Arun Kumar Sivaraman2, Abdul Quadir Md2, Areej Malibari3,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6703-6717, 2023, DOI:10.32604/cmc.2023.030648 - 28 December 2022

    Abstract With the rapid evolution of Internet technology, fog computing has taken a major role in managing large amounts of data. The major concerns in this domain are security and privacy. Therefore, attaining a reliable level of confidentiality in the fog computing environment is a pivotal task. Among different types of data stored in the fog, the 3D point and mesh fog data are increasingly popular in recent days, due to the growth of 3D modelling and 3D printing technologies. Hence, in this research, we propose a novel scheme for preserving the privacy of 3D point… More >

  • Open Access

    ARTICLE

    High Efficiency Crypto-Watermarking System Based on Clifford-Multiwavelet for 3D Meshes Security

    Wajdi Elhamzi1,2,*, Malika Jallouli3, Yassine Bouteraa1,4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4329-4347, 2022, DOI:10.32604/cmc.2022.030954 - 16 June 2022

    Abstract Since 3D mesh security has become intellectual property, 3D watermarking algorithms have continued to appear to secure 3D meshes shared by remote users and saved in distant multimedia databases. The novelty of our approach is that it uses a new Clifford-multiwavelet transform to insert copyright data in a multiresolution domain, allowing us to greatly expand the size of the watermark. After that, our method does two rounds of insertion, each applying a different type of Clifford-wavelet transform. Before being placed into the Clifford-multiwavelet coefficients, the watermark, which is a mixture of the mesh description, source… More >

  • Open Access

    ARTICLE

    Smart Communication Using 2D and 3D Mesh Network-on-Chip

    Arpit Jain1,*, Adesh Kumar2, Anand Prakash Shukla3, Hammam Alshazly4, Hela Elmannai5, Abeer D. Algarni5, Roushan Kumar6, Jitendra Yadav6

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 2007-2021, 2022, DOI:10.32604/iasc.2022.024770 - 25 May 2022

    Abstract Network on chip (NoC) is an integrated communication system on chip (SoC), efficiently connecting various intellectual property (IP) modules on a single die. NoC has been suggested as an enormously scalable solution to overcome the communication problems in SoC. The performance of NoC depends on several aspects in terms of area, latency, throughput, and power. In this paper, the 2D and 3D mesh NoC performance on Virtex-5 field-programmable gate array (FPGA) is studied. The design is carried in Xilinx ISE 14.7 and the behavior model is followed based on XY and XYZ routing for 2D More >

  • Open Access

    ABSTRACT

    Fluid-Structure Interaction Human Carotid Plaque Progression Simulation Using 3D Meshless Generalized Finite Difference Models Based on Patient-Tracking In Vivo MRI Data

    Dalin Tang1, Chun Yang2, Satya Atluri3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.18, No.3, pp. 67-68, 2011, DOI:10.3970/icces.2011.018.067

    Abstract Cardiovascular disease is the leading cause of death worldwide. Many victims of the disease died suddenly without prior symptoms. It is a great challenge for clinicians and researchers to develop screening techniques and assessment methodologies to identify those patients for early treatment and prevention of the fatal clinical event. Considerable effort has been devoted investigating mechanisms governing atherosclerotic plaque progression and rupture [Friedman, Bargeron, Deters, Hutchins and Mark (1987); Friedman and Giddens (2005); Giddens, Zarins, Glagov, S. (1993); Ku, Giddens, Zarins and Glagov (1985); Gibson et al. (1993); Liu and Tang (2010); Stone et al.… More >

  • Open Access

    ARTICLE

    Patient-Specific Carotid Plaque Progression Simulation Using 3D Meshless Generalized Finite Difference Models with Fluid-Structure Interactions Based on Serial In Vivo MRI Data

    Chun Yang1,2, Dalin Tang2, Satya Atluri3

    CMES-Computer Modeling in Engineering & Sciences, Vol.72, No.1, pp. 53-78, 2011, DOI:10.3970/cmes.2011.072.053

    Abstract Previously, we introduced a computational procedure based on three-dimensional meshless generalized finite difference (MGFD) method and serial magnetic resonance imaging (MRI) data to quantify patient-specific carotid atherosclerotic plaque growth functions and simulate plaque progression. Structure-only models were used in our previous report. In this paper, fluid-stricture interaction (FSI) was added to improve on prediction accuracy. One participating patient was scanned three times (T1, T2, and T3, at intervals of about 18 months) to obtain plaque progression data. Blood flow was assumed to laminar, Newtonian, viscous and incompressible. The Navier-Stokes equations with arbitrary Lagrangian-Eulerian (ALE) formulation… More >

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