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  • Open Access

    ARTICLE

    DGConv: A Novel Convolutional Neural Network Approach for Weld Seam Depth Image Detection

    Pengchao Li1,2,3,*, Fang Xu1,2,3,4, Jintao Wang1,2, Haibing Guo4, Mingmin Liu4, Zhenjun Du4

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1755-1771, 2024, DOI:10.32604/cmc.2023.047057

    Abstract We propose a novel image segmentation algorithm to tackle the challenge of limited recognition and segmentation performance in identifying welding seam images during robotic intelligent operations. Initially, to enhance the capability of deep neural networks in extracting geometric attributes from depth images, we developed a novel deep geometric convolution operator (DGConv). DGConv is utilized to construct a deep local geometric feature extraction module, facilitating a more comprehensive exploration of the intrinsic geometric information within depth images. Secondly, we integrate the newly proposed deep geometric feature module with the Fully Convolutional Network (FCN8) to establish a high-performance deep neural network algorithm… More >

  • Open Access

    ARTICLE

    A Bibliometric Analysis Unveils Valuable Insights into the Past, Present, and Future Dynamics of Plant Acclimation to Temperature

    Yong Cui, Yongju Zhao, Shengnan Ouyang, Changchang Shao, Liangliang Li, Honglang Duan*

    Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 291-312, 2024, DOI:10.32604/phyton.2024.047281

    Abstract Plant temperature acclimation is closely related to maintaining a positive carbon gain under future climate change. However, no systematic summary of the field has been conducted. Based on this, we analyzed data on plant temperature acclimation from the Web of Science Core Collection database using bibliometric software R, RStudio and VOSviewer. Our study demonstrated that a stabilized upward trajectory was noted in publications (298 papers) from 1986 to 2011, followed by a swift growth (373 papers) from 2012 to 2022. The most impactful journals were Plant Cell and Environment, boasting the greatest count of worldwide citations and articles, the highest… More >

  • Open Access

    ARTICLE

    Human Gait Recognition for Biometrics Application Based on Deep Learning Fusion Assisted Framework

    Ch Avais Hanif1, Muhammad Ali Mughal1, Muhammad Attique Khan2,3,*, Nouf Abdullah Almujally4, Taerang Kim5, Jae-Hyuk Cha5

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 357-374, 2024, DOI:10.32604/cmc.2023.043061

    Abstract The demand for a non-contact biometric approach for candidate identification has grown over the past ten years. Based on the most important biometric application, human gait analysis is a significant research topic in computer vision. Researchers have paid a lot of attention to gait recognition, specifically the identification of people based on their walking patterns, due to its potential to correctly identify people far away. Gait recognition systems have been used in a variety of applications, including security, medical examinations, identity management, and access control. These systems require a complex combination of technical, operational, and definitional considerations. The employment of… More >

  • Open Access

    ARTICLE

    A Deep Learning Approach to Shape Optimization Problems for Flexoelectric Materials Using the Isogeometric Finite Element Method

    Yu Cheng1,2,5, Yajun Huang3, Shuai Li4, Zhongbin Zhou5, Xiaohui Yuan1,2,*, Yanming Xu5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1935-1960, 2024, DOI:10.32604/cmes.2023.045668

    Abstract A new approach for flexoelectric material shape optimization is proposed in this study. In this work, a proxy model based on artificial neural network (ANN) is used to solve the parameter optimization and shape optimization problems. To improve the fitting ability of the neural network, we use the idea of pre-training to determine the structure of the neural network and combine different optimizers for training. The isogeometric analysis-finite element method (IGA-FEM) is used to discretize the flexural theoretical formulas and obtain samples, which helps ANN to build a proxy model from the model shape to the target value. The effectiveness… More >

  • Open Access

    ARTICLE

    Binary Archimedes Optimization Algorithm for Computing Dominant Metric Dimension Problem

    Basma Mohamed1,*, Linda Mohaisen2, Mohammed Amin1

    Intelligent Automation & Soft Computing, Vol.38, No.1, pp. 19-34, 2023, DOI:10.32604/iasc.2023.031947

    Abstract In this paper, we consider the NP-hard problem of finding the minimum dominant resolving set of graphs. A vertex set B of a connected graph G resolves G if every vertex of G is uniquely identified by its vector of distances to the vertices in B. A resolving set is dominating if every vertex of G that does not belong to B is a neighbor to some vertices in B. The dominant metric dimension of G is the cardinality number of the minimum dominant resolving set. The dominant metric dimension is computed by a binary version of the Archimedes optimization… More >

  • Open Access

    ARTICLE

    Smart Colorimetric Corn Starch Films Combined with Anthocyanin-Loaded Glutenin-Carboxymethyl Chitosan Nanocomplexes for Freshness Monitoring of Chilled Pork

    Juan Yan1, Wenchao Li1, Xianfang Zhang1, Shisheng Liu2,*

    Journal of Renewable Materials, Vol.12, No.1, pp. 71-87, 2024, DOI:10.32604/jrm.2023.028927

    Abstract In this study, intelligent, pH-responsive colorimetric films were prepared by encapsulating anthocyanins in nanocomplexes prepared from glutenin and carboxymethyl chitosan. These nanocomplexes were added to a corn starch matrix and used in the freshness monitoring of chilled pork. The effects of anthocyanin-loaded nanocomplexes on the physical, structural, and functional characteristics of the films were investigated. The addition of anthocyanin-loaded nanocomplexes increased the tensile strength, elongation at break, hydrophobicity, and light transmittance of the films while decreasing their water vapor permeability. This is because new hydrogen bonds are formed between the film components, resulting in a more homogeneous and dense structure.… More >

  • Open Access

    ARTICLE

    The Effect of Atrial Septal Defect Closure on Cardiac Volumetric Changes in Adults, Transcatheter Versus Surgical Closure, a Pilot Cardiac Magnetic Resonance Study

    Amr Mansour1, Noha M. Gamal2,*, Alaa M. Nady3, Amr Ibraheem3, Dalia M. Salah4, Khaled M. El-Maghraby2

    Congenital Heart Disease, Vol.18, No.6, pp. 679-691, 2023, DOI:10.32604/chd.2023.020028

    Abstract Background: Closure of an atrial septal defect (ASD) reduces right-side heart volumes by abolishing shunting with simultaneous improvement of the left ventricle (LV) filling and functions due to ventricular interdependence, thereby improving symptoms. Furthermore, studies conducted on atrial volume changes after ASD closure are limited. Cardiac magnetic resonance (CMR) is considered as the gold standard method for measuring cardiac volume and mass. Objective: We aimed to study the effect of transcatheter and surgical closure of secundum ASD on cardiac volumes and systolic functions as well as the fate of tricuspid regurgitation (TR), using CMR analysis. Methods: We prospectively enrolled 30… More >

  • Open Access

    PROCEEDINGS

    How Travelling Wavelength Affects Hydrodynamic Performance of Two Linear-Accelerating Mirror-Symmetric Fish-Like Swimmers

    Zhonglu Lin1,2, Dongfang Liang2, Yu Zhang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-9, 2023, DOI:10.32604/icces.2023.010442

    Abstract Fish schools are capable of simultaneous linear acceleration. To reveal the underlying hydrodynamic mechanism, we numerically investigate how Reynolds number Re = 1000−2000, Strouhal number St = 0.2−0.7 and wavelength λ = 0.5−2 affects the mean net thrust of two side-by-side NACA0012 hydrofoils undulating in anti-phase. In total, 550 cases are simulated using immersed boundary method. The thrust is strengthened by wavelength and Strouhal number, yet only slightly by the Reynolds number. We apply the symbolic regression algorithm to formulate this relationship as a high-level summary. More >

  • Open Access

    PROCEEDINGS

    High-Precision Isoparametric Hole, Ring, Tube, Disk, Sphere Boundary Element and Their Applications in Mechanics Analysis

    Yongtong Zheng1,* , Yijun Liu1, Xiaowei Gao1,2,3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09774

    Abstract Recently, a series of isoparametric boundary elements have been constructed to simulate the shape of holes, tubes, disks, rings and spheres based on the Lagrange interpolation formulation and the closure condition at two ends of an arc. These elements can simulate the models which contain the shapes mentioned above with less nodes and less elements than the conventional boundary elements. However, the basis of those elements, i.e., hole elements, have the poor accuracy when the number of nodes is less than 6. To improve these elements, two kinds of improvements are proposed in this study. The first one let more… More >

  • Open Access

    PROCEEDINGS

    The Nitsche’s Method and Applications in Isogeometric Analysis

    Qingyuan Hu1,*, Yuan Liang2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-2, 2023, DOI:10.32604/icces.2023.09441

    Abstract The Nitsche’s method is originally proposed as a technique to impose boundary conditions, nowadays it is widely used for isometric analysis (IGA) and corresponding topology optimization applications. Based on our previous research [1], we present a simple way to derive the Nitsche’s formulations for different kind of boundary and interface conditions, and studied this technique in the context of IGA discretization, especially for patch coupling and contact problems. The skew-symmetric variant of the Nitsche’s method is then further studied. For linear boundary or interface conditions, the skew-symmetric formulation is parameterfree. For contact conditions, it remains stable and accurate for a… More >

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