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  • Open Access

    ABSTRACT

    Effects of Muscle Fatigue on the Kinect Control of Free Throw in the Wheelchair Basketball Sport

    Hsiang-Wen Huang1, Ting-Wei Kuo1, Chi-Long Lee1, Yan-Ting Lin1, Yan-Ying Ju2, Chih-Hsiu Cheng1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 113-115, 2019, DOI:10.32604/mcb.2019.07509

    Abstract Wheelchair basketball is mainly designed for people who are physically challenged with permanent lower body disabilities. Free throw execution is one of the basic skills and could represent the preferred shooting mechanics so as to examine the overall shooting mechanics in basketball players. It requires the body to act as a kinetic chain to summate energy from the wheelchair to the upper extremity for the coordinated movements. Researchers have shown that the kinetic chain of the wheelchair basketball athletes could be affected by the kinematic parameters such as the release velocity and shooting angle [1-3].… More >

  • Open Access

    ARTICLE

    Dynamic Resource Scheduling in Emergency Environment

    Yuankun Yan1,*, Yan Kong1, Zhangjie Fu1,2

    Journal of Information Hiding and Privacy Protection, Vol.1, No.3, pp. 143-155, 2019, DOI:10.32604/jihpp.2019.07772

    Abstract Nowadays, emergency accidents could happen at any time. The accidents occur unpredictably and the accidents requirements are diversely. The accidents happen in a dynamic environment and the resource should be cooperative to solve the accidents. Most methods are focusing on minimizing the casualties and property losses in a static environment. However, they are lack in considering the dynamic and unpredictable event handling. In this paper, we propose a representative environmental model in representation of emergency and dynamic resource allocation model, and an adaptive mathematical model based on Genetic Algorithm (GA) to generate an optimal set More >

  • Open Access

    ABSTRACT

    A POD Coupled Adaptive DEIM (POD-ADEIM) Reduced-Order Model for Incompressible Multiphase Flow in Porous Media

    Jingfa Li1,2, Shuyu Sun2,*, Bo Yu1, Yang Liu2, Tao Zhang2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 141-142, 2019, DOI:10.32604/icces.2019.04721

    Abstract The multiphase fluid flow in porous media is one of the most fundamental phenomena in various physical processes, such as oil/gas flow in reservoir, subsurface contamination dispersion, chemical separation, etc. Due to its importance, the efficient and accurate solution and prediction of multiphase flow in porous media is highly required in engineering applications and mechanism studies, which has been a research hot spot with increasing interest in recent years. However, the strong nonlinearity implicated in the multiphase flow model has brought great challenges for the computation and analysis. In addition, the permeability in Darcy-type pressure… More >

  • Open Access

    ABSTRACT

    Adaptive Modelling for Multiphase Flow Through Debris Bed With Boiling

    Liang Yang1,*, Andrew Buchan2, Alan Jones1, Paul Smith1, Mikio Sakai3, Christopher Pain1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.1, pp. 95-95, 2019, DOI:10.32604/icces.2019.05077

    Abstract In the event of a severe accident, a large part of the core may collapse and form a debris bed. Debris bed coolability is important to avoid releasing the radioactive materials to the environment. If it is not rapidly cooled, the debris bed will begin to melt and become harder to cool. To stop or slow down the accident evolution, the main approach is to inject water into the reactor core. However, the success of the cooling is not guaranteed depending on the debris bed and the operating condition. This procedure is challenging to understand… More >

  • Open Access

    ARTICLE

    OpenIFEM: A High Performance Modular Open-Source Software of the Immersed Finite Element Method for Fluid-Structure Interactions

    Jie Cheng1, Feimi Yu1, Lucy T. Zhang1, *

    CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.1, pp. 91-124, 2019, DOI:10.32604/cmes.2019.04318

    Abstract We present a high performance modularly-built open-source software - OpenIFEM. OpenIFEM is a C++ implementation of the modified immersed finite element method (mIFEM) to solve fluid-structure interaction (FSI) problems. This software is modularly built to perform multiple tasks including fluid dynamics (incompressible and slightly compressible fluid models), linear and nonlinear solid mechanics, and fully coupled fluid-structure interactions. Most of open-source software packages are restricted to certain discretization methods; some are under-tested, under-documented, and lack modularity as well as extensibility. OpenIFEM is designed and built to include a set of generic classes for users to adapt More >

  • Open Access

    ARTICLE

    Novel Approach for Automatic Region of Interest and Seed Point Detection in CT Images Based on Temporal and Spatial Data

    Zhe Liu1, Charlie Maere1,*, Yuqing Song1

    CMC-Computers, Materials & Continua, Vol.59, No.2, pp. 669-686, 2019, DOI:10.32604/cmc.2019.04590

    Abstract Accurately finding the region of interest is a very vital step for segmenting organs in medical image processing. We propose a novel approach of automatically identifying region of interest in Computed Tomography Image (CT) images based on temporal and spatial data . Our method is a 3 stages approach, 1) We extract organ features from the CT images by adopting the Hounsfield filter. 2)We use these filtered features and introduce our novel approach of selecting observable feature candidates by calculating contours’ area and automatically detect a seed point. 3) We use a novel approach to More >

  • Open Access

    ARTICLE

    Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems

    Cosmin Anitescu1, Elena Atroshchenko2, Naif Alajlan3, Timon Rabczuk3,*

    CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 345-359, 2019, DOI:10.32604/cmc.2019.06641

    Abstract We present a method for solving partial differential equations using artificial neural networks and an adaptive collocation strategy. In this procedure, a coarse grid of training points is used at the initial training stages, while more points are added at later stages based on the value of the residual at a larger set of evaluation points. This method increases the robustness of the neural network approximation and can result in significant computational savings, particularly when the solution is non-smooth. Numerical results are presented for benchmark problems for scalar-valued PDEs, namely Poisson and Helmholtz equations, as More >

  • Open Access

    ARTICLE

    A Study on the Optimal Offset Distance Between a Welding Torch and the Infrared Thermometers

    Tae-Jong Yun1, Won-Bin Oh1, Bo-Ram Lee1, Joon-Sik Son2, Ill-soo Kim1,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.1, pp. 1-14, 2019, DOI:10.32604/fdmp.2019.04759

    Abstract Detection of weld defects using real-time monitoring and controlling algorithm is of the significant task in manufacturing industries due to the increased production and liability costs that result when weld defects are not identified early in the production cycle. Monitoring and controlling for robotic arc welding process employed should be reliable, flexible and cost-effective in non-clean, high-volume production environments. Also, the robotic welding system has been utilized a complex jigging and mechanical devices to move the workpiece which related to the stationary welding head for getting higher efficiency and lower costs. To develop the fully… More >

  • Open Access

    ARTICLE

    An Adaptive Superpixel Tracker Using Multiple Features

    Jingjing Liu1,2, Bin Zhang3, Xu Cheng4, Ying Chen5, Li Zhao1,*

    CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 1097-1108, 2019, DOI:10.32604/cmc.2019.05968

    Abstract Visual tracking is a challenging issue in the field of computer vision due to the objects’ intricate appearance variation. To adapt the change of the appearance, multiple channel features which could provide more information are used. However, the low level feature could not represent the structure of the object. In this paper, a superpixel-based adaptive tracking algorithm by using color histogram and haar-like feature is proposed, whose feature is classified into the middle level. Based on the superpixel representation of video frames, the haar-like feature is extracted at the superpixel level as the local feature,… More >

  • Open Access

    ARTICLE

    Adaptive Median Filtering Algorithm Based on Divide and Conquer and Its Application in CAPTCHA Recognition

    Wentao Ma1, Jiaohua Qin1,*, Xuyu Xiang1, Yun Tan1, Yuanjing Luo1, Neal N. Xiong2

    CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 665-677, 2019, DOI:10.32604/cmc.2019.05683

    Abstract As the first barrier to protect cyberspace, the CAPTCHA has made significant contributions to maintaining Internet security and preventing malicious attacks. By researching the CAPTCHA, we can find its vulnerability and improve the security of CAPTCHA. Recently, many studies have shown that improving the image preprocessing effect of the CAPTCHA, which can achieve a better recognition rate by the state-of-the-art machine learning algorithms. There are many kinds of noise and distortion in the CAPTCHA images of this experiment. We propose an adaptive median filtering algorithm based on divide and conquer in this paper. Firstly, the More >

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