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  • Open Access

    ARTICLE

    Image Splicing Forgery Detection Using Feature-Based of Sonine Functions and Deep Features

    Ala’a R. Al-Shamasneh1, Rabha W. Ibrahim2,3,4,*

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 795-810, 2024, DOI:10.32604/cmc.2023.042755

    Abstract The growing prevalence of fake images on the Internet and social media makes image integrity verification a crucial research topic. One of the most popular methods for manipulating digital images is image splicing, which involves copying a specific area from one image and pasting it into another. Attempts were made to mitigate the effects of image splicing, which continues to be a significant research challenge. This study proposes a new splicing detection model, combining Sonine functions-derived convex-based features and deep features. Two stages make up the proposed method. The first step entails feature extraction, then classification using the “support vector… More >

  • Open Access

    ARTICLE

    Highly Accurate Golden Section Search Algorithms and Fictitious Time Integration Method for Solving Nonlinear Eigenvalue Problems

    Chein-Shan Liu1, Jian-Hung Shen2, Chung-Lun Kuo1, Yung-Wei Chen2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1317-1335, 2024, DOI:10.32604/cmes.2023.030618

    Abstract This study sets up two new merit functions, which are minimized for the detection of real eigenvalue and complex eigenvalue to address nonlinear eigenvalue problems. For each eigen-parameter the vector variable is solved from a nonhomogeneous linear system obtained by reducing the number of eigen-equation one less, where one of the nonzero components of the eigenvector is normalized to the unit and moves the column containing that component to the right-hand side as a nonzero input vector. 1D and 2D golden section search algorithms are employed to minimize the merit functions to locate real and complex eigenvalues. Simultaneously, the real… More >

  • Open Access

    REVIEW

    The IDD Transcription Factors: Their Functions in Plant Development and Environmental Response

    Jing Liu1,*, Defeng Shu1, Zilong Tan1, Mei Ma1, Huanhuan Yang1, Ning Guo1,2, Shipeng Li1, Dayong Cui1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 63-79, 2024, DOI:10.32604/phyton.2023.045940

    Abstract INDETERMINATE-DOMAIN proteins (IDDs) are a plant-specific transcription factor family characterized by a conserved ID domain with four zinc finger motifs. Previous studies have demonstrated that IDDs coordinate a diversity of physiological processes and functions in plant growth and development, including floral transition, plant architecture, seed and root development, and hormone signaling. In this review, we especially summarized the latest knowledge on the functions and working models of IDD members in Arabidopsis, rice, and maize, particularly focusing on their role in the regulatory network of biotic and abiotic environmental responses, such as gravity, temperature, water, and pathogens. Understanding these mechanisms underlying… More >

  • Open Access

    PROCEEDINGS

    Simulation of Wave Propagation Through Inhomogeneous Medium Waveguides Based on Green’s Functions

    Wenzhi Xu1, ZhuoJia Fu1,*, Qiang Xi1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.010437

    Abstract Acoustic wave propagation through an inhomogeneous medium may lead to undergo substantial modification. This paper proposed a Green’s functions-based method for the simulation of wave propagation through inhomogeneous medium waveguides. Under ideal conditions, a modified wave equation is derived by variable transformations, in which only the wave speed varies with spatial coordinates. Based on the modified wave equation the acoustic Green’s functions are derived. Then, the localized method of fundamental solution (LMFS) in conjunction with the acoustic Green’s functions is introduced to solve the modified wave equation. In the LMFS, the acoustic Green’s function is considered as its basic function… More >

  • Open Access

    PROCEEDINGS

    Fragile Points Method for Modeling Complex Structural Failure

    Mingjing Li1,*, Leiting Dong1, Satya N. Atluri2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.09689

    Abstract The Fragile Points Method (FPM) is a discontinuous meshless method based on the Galerkin weak form [1]. In the FPM, the problem domain is discretized by spatial points and subdomains, and the displacement trial function of each subdomain is derived based on the points within the support domain. For this reason, the FPM doesn’t suffer from the mesh distortion and is suitable to model complex structural deformations. Furthermore, similar to the discontinuous Galerkin finite element method, the displacement trial functions used in the FPM is piece-wise continuous, and the numerical flux is introduced across each interior interface to guarantee the… More >

  • Open Access

    REVIEW

    Biological, pathological, and multifaceted therapeutic functions of exosomes to target cancer

    VIGNESH BALAJI E1, DIVYA RAMESH2, MANISHA CHUNGAN SHAJU3, AKSHARA KUMAR4, SAMYAK PANDEY1, RAKSHA NAYAK1, V. ALKA5, SRISHTI MUNJAL6, AMIR SALIMI7, K. SREEDHARA RANGANATH PAI1,*, SHANKAR M. BAKKANNAVAR2

    Oncology Research, Vol.32, No.1, pp. 73-94, 2024, DOI:10.32604/or.2023.030401

    Abstract Exosomes, small tiny vesicle contains a large number of intracellular particles that employ to cause various diseases and prevent several pathological events as well in the human body. It is considered a “double-edged sword”, and depending on its biological source, the action of exosomes varies under physiological conditions. Also, the isolation and characterization of the exosomes should be performed accurately and the methodology also will vary depending on the exosome source. Moreover, the uptake of exosomes from the recipients’ cells is a vital and initial step for all the physiological actions. There are different mechanisms present in the exosomes’ cellular… More > Graphic Abstract

    Biological, pathological, and multifaceted therapeutic functions of exosomes to target cancer

  • Open Access

    PROCEEDINGS

    Comprehensive Simulation of Hot Shape Rolling by Considering the Casting Defects

    Umut Hanoglu1,2,*, Božidar Šarler1,2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09610

    Abstract In this research, a rolling simulation system based on a novel meshless solution procedure is upgraded considering casting defects in the material model. The improved model can predict the final stage of the defects after multi-pass rolling. The casted steel billet that enters the rolling mill arrives with casting defects. Those defects may be porosity due to the shrinkage and cavity or micro-cracks near the surface due to hot tearing. In this work, porosity is considered the main defect source since it can easily be determined experimentally. The damage theory develops a damaged stiffness matrix with a scalar damage value.… More >

  • Open Access

    PROCEEDINGS

    Simulation of Reheating Furnace for Steel Billets by a Meshless Method

    Qingguo Liu1,2, Umut Hanoglu1,2, Božidar Šarler1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09609

    Abstract A simulation of reheating furnace in a steel production line where the steel billets are heated from room temperature up to 1200 ˚C, is carried out using a novel meshless solution procedure. The reheating of the steel billets before the continuous hot-rolling process should be employed to dissolve alloying elements as much as possible and redistribute the carbon. In this work, governing equations are solved by the local radial basis function collocation method (LRBFCM) in a strong form with explicit time-stepping. The solution of the diffusion equations for the temperature and carbon concentration fields is formulated on a twodimensional slice.… More >

  • Open Access

    PROCEEDINGS

    Research Advances on the Collocation Methods Based on the PhysicalInformed Kernel Functions

    Zhuojia Fu1,*, Qiang Xi2, Wenzhi Xu1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09393

    Abstract In the past few decades, although traditional computational methods such as finite element have been successfully used in many scientific and engineering fields, they still face several challenging problems such as expensive computational cost, low computational efficiency, and difficulty in mesh generation in the numerical simulation of wave propagation under infinite domain, large-scale-ratio structures, engineering inverse problems and moving boundary problems. This paper introduces a class of collocation discretization techniques based on physical-informed kernel function (PIKF) to efficiently solve the above-mentioned problems. The key issue in the physical-informed kernel function collocation methods (PIKFCMs) is to construct the related basis functions,… More >

  • Open Access

    PROCEEDINGS

    A Directional Fast Algorithm for Oscillatory Kernels with Curvelet-Like Functions

    Yanchuang Cao1, Jun Liu1, Dawei Chen1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09272

    Abstract Interactions of multiple points with oscillatory kernels are widely encountered in wave analysis. For large scale problems, its direct evaluation is prohibitive since the computational cost increases quadratically with the number of points.
    Various fast algorithms have been constructed by exploiting specific properties of the kernel function. Early fast algorithms, such as the fast multipole method (FMM) and its variants, H2-matrix, adaptive cross approximation (ACA), wavelet-based method, etc., are generally developed for kernels that are asymptotically smooth when source points and target points are well separated. For oscillatory kernels, however, the asymptotic smoothness criteria is only satisfied when the oscillation… More >

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