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  • Open Access

    ARTICLE

    3D Multilayered Turtle Shell Models for Image Steganography

    Ji-Hwei Horng1, Juan Lin2,*, Yanjun Liu3, Chin-Chen Chang13,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.09355

    Abstract By embedding secret data into cover images, image steganography can produce non-discriminable stego-images. The turtle shell model for data hiding is an excellent method that uses a reference matrix to make a good balance between image quality and embedding capacity. However, increasing the embedding capacity by extending the area of basic structures of the turtle shell model usually leads to severe degradation of image quality. In this research, we innovatively extend the basic structure of the turtle shell model into a three-dimensional (3D) space. Some intrinsic properties of the original turtle shell model are well preserved in the 3D version.… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Blood Flow in Aorta with Dilation: A Comparison between Laminar and LES Modeling Methods

    Lijian Xu1, Tianyang Yang2, Lekang Yin3, Ye Kong2, Yuri Vassilevski4,5, Fuyou Liang1,5,6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010719

    Abstract Computational modeling methods have been increasingly employed to quantify aortic hemodynamic parameters that are challenging to in vivo measurements but important for the diagnosis/treatment of aortic disease. Although the presence of turbulence-like behaviors of blood flow in normal or diseased aorta has long been confirmed, the majority of existing computational model studies adopted the laminar flow assumption (LFA) in the treatment of sub-grid flow variables. So far, it remains unclear whether LFA would significantly compromise the reliability of hemodynamic simulation. In the present study, we addressed the issue in the context of a specific aortopathy, namely aortic dilation, which is… More >

  • Open Access

    ARTICLE

    Numerical Simulation on Oil Spilling of Submarine Pipeline and Its Evolution on Sea Surface

    Yi Wang*, Mohan Lin

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.09810

    Abstract Due to the interaction and corrosion of the seawater, submarine pipelines are easy to be broken to spill oil. The special environment of subsea restricts the technical development of pipeline maintenance. Therefore, the study on the oil spilling model of submarine pipeline is very important for predicting the movement and diffusion of spilled oil, so that oil spilling traces and relating strategies can be determined. This paper aims to establish an oil spilling model of a submarine pipeline, study the movement characteristics of spilled oil in seawater by numerical simulation, and determine the traces, diffusion range, time to sea surface,… More >

  • Open Access

    ARTICLE

    A Hybrid Deep Learning Architecture for the Classification of Superhero Fashion Products: An Application for Medical-Tech Classification

    Inzamam Mashood Nasir1, Muhammad Attique Khan1,*, Majed Alhaisoni2, Tanzila Saba3, Amjad Rehman3, Tassawar Iqbal4

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010943

    Abstract Comic character detection is becoming an exciting and growing research area in the domain of machine learning. In this regard, recently, many methods are proposed to provide adequate performance. However, most of these methods utilized the custom datasets, containing a few hundred images and fewer classes, to evaluate the performances of their models without comparing it, with some standard datasets. This article takes advantage of utilizing a standard publicly dataset taken from a competition, and proposes a generic data balancing technique for imbalanced dataset to enhance and enable the in-depth training of the CNN. In addition, to classify the superheroes… More >

  • Open Access

    ARTICLE

    Effect of Absorption of Patch Antenna Signals on Increasing the Head Temperature

    Mohamed Abbas1,3,*, Ali Algahtani2,6, Amir Kessentini2,4,7, Hassen Loukil1,5, Muneer Parayangat1, Thafasal Ijyas1, Abdul Wase Mohammed1

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.010304

    Abstract Every new generation of antennas is characterized by increased accuracy and faster transmission speeds. However, patch antennas have been known to damage human health. This type of antenna sends out electromagnetic waves that increase the temperature of the human head and prevent nerve strands from functioning properly. This paper examines the effect of the communication between the patch antenna and the brain on the head’s temperature by developing a hypothetical multi-input model that achieves more accurate results. These inputs are an individual’s blood and tissue, and the emission power of the antenna. These forces depend on the permeability and conductivity… More >

  • Open Access

    ARTICLE

    An Improved Non-Parametric Method for Multiple Moving Objects Detection in the Markov Random Field

    Qin Wan1,2,*, Xiaolin Zhu1, Yueping Xiao1, Jine Yan1, Guoquan Chen1, Mingui Sun3

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.09397

    Abstract Detecting moving objects in the stationary background is an important problem in visual surveillance systems. However, the traditional background subtraction method fails when the background is not completely stationary and involves certain dynamic changes. In this paper, according to the basic steps of the background subtraction method, a novel non-parametric moving object detection method is proposed based on an improved ant colony algorithm by using the Markov random field. Concretely, the contributions are as follows: 1) A new nonparametric strategy is utilized to model the background, based on an improved kernel density estimation; this approach uses an adaptive bandwidth, 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., , DOI:10.32604/cmes.2020.09463

    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 of the secret image. The… More >

  • Open Access

    ARTICLE

    Solute Removal Analysis of a Large-scale Fracture Plane Considering Different Flow Paths and Different Hydraulic Head Differences

    Qian Yin1,2, Xiaojing Li3,*, Liyuan Yu1, Ming He1, Richeng Liu1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.08204

    Abstract An experimental and numerical study was carried out to investigate the solute removal process through a large-scale fracture plane considering different flow paths and hydraulic head differences. The visualization techniques were utilized in the experiment to capture the removal process images, which were then transferred to binary images. The variations in dimensionless concentration, which is defined as saturation of solute phase, were analyzed. With increasing hydraulic head difference, the speed of solute removal increases and the dimensionless concentration decreases. The flow paths result in different solute distribution patterns and different mechanisms for solute removal such as advection and diffusion, thus… More >

  • Open Access

    ARTICLE

    Three-Dimensional Collapse Analysis for a Shallow Cavity in Layered Strata Based on Upper Bound Theorem

    Hongtao Wang1,2,*, Ping Liu1,2, Lige Wang3,4,*, Chi Liu5, Xin Zhang1,2, Luyao Liu1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.08270

    Abstract Layered rock strata are observed to be common during the excavation of tunnels or cavities, and may significantly affect the deformation and failure characteristics of surrounding rock masses due to various complex forms and mechanical properties. In this paper, we propose a three-dimensional axisymmetric velocity field for roof collapse of shallow cavities in multi rock layers, by considering the influences of roof cross-section shapes, supporting pressure, ground overload, etc. The internal energy dissipation rate and work rates of external forces corresponding to the velocity field are computed by employing the Hoek-Brown strength criterion and its associated flow rule. Further, the… More >

  • Open Access

    ARTICLE

    Stability Control of Gob-Side Entry Retaining in Fully Mechanized Caving Face Based on a Compatible Deformation Model

    Xinshuai Shi1, Hongwen Jing1, *, Jianguo Ning2, Zhenlong Zhao1, Junfu Zhu1

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2020.07955

    Abstract The stability control of gob-side entry retaining in fully mechanized caving face is a typical challenge in many coal mines in China. The rotation and subsidence of the lateral cantilever play a critical role in a coal mine, possibly leading to instability in a coal seam wall or a gob-side wall due to its excessive rotation subsidence. Hence, the presplitting blasting measures in the roof was implemented to cut down the lower main roof and convert it to caved immediate roof strata, which can significantly reduce the rotation space for the lateral cantilever and effectively control its rotation. Firstly, the… More >

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