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  • Open Access

    ARTICLE

    A Consistent Time Level Implementation Preserving Second-Order Time Accuracy via a Framework of Unified Time Integrators in the Discrete Element Approach

    Tao Xue1, Yazhou Wang2, Masao Shimada2, David Tae2, Kumar Tamma2,*, Xiaobing Zhang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1469-1487, 2023, DOI:10.32604/cmes.2022.021616

    Abstract In this work, a consistent and physically accurate implementation of the general framework of unified second-order time accurate integrators via the well-known GSSSS framework in the Discrete Element Method is presented. The improved tangential displacement evaluation in the present implementation of the discrete element method has been derived and implemented to preserve the consistency of the correct time level evaluation during the time integration process in calculating the algorithmic tangential displacement. Several numerical examples have been used to validate the proposed tangential displacement evaluation; this is in contrast to past practices which only seem to attain the first-order time accuracy… More >

  • Open Access

    ARTICLE

    Failure Mode and Effects Analysis Based on Z-Numbers and the Graded Mean Integration Representation

    Hanhan Zhang1, Zhihui Xu2, Hong Qian1, Xiaoyan Su1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1005-1019, 2023, DOI:10.32604/cmes.2022.021898

    Abstract Failure mode and effects analysis (FMEA) is a widely used safety assessment method in many fields. Z-number was previously applied in FMEA since it can take both possibility and reliability of information into consideration. However, the use of fuzzy weighted mean to integrate Z-valuations may have some drawbacks and is not suitable for some situations. In this paper, an improved method is proposed based on Z-numbers and the graded mean integration representation (GMIR) to deal with the uncertain information in FMEA. First, Z-numbers are constructed based on the evaluations of risk factors O, S, D for each failure mode by… More >

  • Open Access

    ARTICLE

    Effects of Strain Rate and Fiber Content on the Dynamic Mechanical Properties of Sisal Fiber Cement-Based Composites

    Yubo Zhang, Ping Lei, Lina Wang, Jiqing Yang*

    Journal of Renewable Materials, Vol.11, No.1, pp. 393-410, 2023, DOI:10.32604/jrm.2022.022659

    Abstract In this paper, a split Hopkinson pressure bar (SHPB) was used to investigate the dynamic impact mechanical behavior of sisal fiber-reinforced cement-based composites (SFRCCs), and the microscopic damage evolution of the composites was analyzed by scanning electron microscopy (SEM) and energy-dispersive X-ray spectrometry (EDS). The results show that the addition of sisal fibers improves the impact resistance of cement-based composite materials. Compared with ordinary cement-based composites (OCCs), the SFRCCs demonstrate higher post-peak strength, ductility, and energy absorption capacity with higher fiber content. Moreover, the SFRCCs are strain rate sensitive materials, and their peak stress, ultimate strain, and energy integrals all… More >

  • Open Access

    ARTICLE

    A Process Oriented Integration Model for Smart Health Services

    Farzana Kausar Gondal1,*, Syed Khuram Shahzad2, Muhammad Arfan Jaffar3, Muhammad Waseem Iqbal4

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1369-1386, 2023, DOI:10.32604/iasc.2023.028407

    Abstract Cities are facing challenges of high rise in population number and consequently need to be equipped with latest smart services to provide luxuries of life to its residents. Smart integrated solutions are also a need to deal with the social and environmental challenges, caused by increasing urbanization. Currently, the development of smart services’ integrated network, within a city, is facing the barriers including; less efficient collection and sharing of data, along with inadequate collaboration of software and hardware. Aiming to resolve these issues, this paper recommended a solution for a synchronous functionality in the smart services’ integration process through modeling… More >

  • Open Access

    ARTICLE

    Integration of Wind and PV Systems Using Genetic-Assisted Artificial Neural Network

    E. Jessy Mol*, M. Mary Linda

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1471-1489, 2023, DOI:10.32604/iasc.2023.024027

    Abstract The prominence of Renewable Energy Sources (RES) in the process of power generation is exponentially increased in the recent days since these sources assist in minimizing the environmental contamination. A grid-tied DFIG (Doubly Fed Induction Generator) based WECS (Wind Energy Conversion System) is introduced in this work, in which a Landsman converter is implemented to improvise the output voltage of PV without any fluctuations. A novel GA (Genetic Algorithm) assisted ANN (Artificial Neural Network) is employed for tracking the Maximum power from PV. Among the rotor and grid side controllers, the former is implemented by combining the stator flux with… More >

  • Open Access

    ARTICLE

    A Parallel Computing Schema Based on IGA

    Jinggang Deng1,2, Bingquan Zuo1,2,*, Huixin Luo1,2, Weikang Xie1,2, Jiashu Yang1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 965-990, 2022, DOI:10.32604/cmes.2022.020631

    Abstract In this paper, a new computation scheme based on parallelization is proposed for Isogeometric analysis. The parallel computing is introduced to the whole progress of Isogeometric analysis. Firstly, with the help of the “tensorproduct” and “iso-parametric” feature, all the Gaussian integral points in particular element can be mapped to a global matrix using a transformation matrix that varies from element. Then the derivatives of Gauss integral points are computed in parallel, the results of which can be stored in a global matrix. And a middle layer is constructed to assemble the final stiffness matrices in parallel. The numerical example results… More >

  • Open Access

    ARTICLE

    Root-Of-Trust for Continuous Integration and Continuous Deployment Pipeline in Cloud Computing

    Abdul Saboor1,*, Mohd Fadzil Hassan2, Rehan Akbar1, Erwin Susanto3, Syed Nasir Mehmood Shah4, Muhammad Aadil Siddiqui5, Saeed Ahmed Magsi5

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2223-2239, 2022, DOI:10.32604/cmc.2022.028382

    Abstract Cloud computing has gained significant use over the last decade due to its several benefits, including cost savings associated with setup, deployments, delivery, physical resource sharing across virtual machines, and availability of on-demand cloud services. However, in addition to usual threats in almost every computing environment, cloud computing has also introduced a set of new threats as consumers share physical resources due to the physical co-location paradigm. Furthermore, since there are a growing number of attacks directed at cloud environments (including dictionary attacks, replay code attacks, denial of service attacks, rootkit attacks, code injection attacks, etc.), customers require additional assurances… More >

  • Open Access

    ARTICLE

    Isogeometric Boundary Element Method for Two-Dimensional Steady-State Non-Homogeneous Heat Conduction Problem

    Yongsong Li1, Xiaomeng Yin2, Yanming Xu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 471-488, 2022, DOI:10.32604/cmes.2022.020201

    Abstract The isogeometric boundary element technique (IGABEM) is presented in this study for steady-state inhomogeneous heat conduction analysis. The physical unknowns in the boundary integral formulations of the governing equations are discretized using non-uniform rational B-spline (NURBS) basis functions, which are utilized to build the geometry of the structures. To speed up the assessment of NURBS basis functions, the B´ezier extraction approach is used. To solve the extra domain integrals, we use a radial integration approach. The numerical examples show the potential of IGABEM for dimension reduction and smooth integration of CAD and numerical analysis. More >

  • Open Access

    ARTICLE

    Adaptive Neuro-Fuzzy Based Load Frequency Control in Presence of Energy Storage Devices

    Pankaj Jood*, Sanjeev Kumar Aggarwal, Vikram Chopra

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 785-804, 2022, DOI:10.32604/iasc.2022.025217

    Abstract Energy storage technologies are utilized for improving the primary frequency control in complex electrical systems. In this paper, the modeling and simulation of a two-area power system is done to evaluate and compare the impact of three different energy storage applications on load frequency control performance. Capacitive energy storage (CES), battery energy storage (BES), and superconducting magnetic energy storage (SMES) are considered for the study. On the basis of peak overshoot and settling time, the performance of these energy storage devices is compared. The power system consists of thermal, wind, and solar resources. All nonlinearities are incorporated in the system… More >

  • Open Access

    ARTICLE

    Transplanted choroidal plexus epithelial cells can integrate with organotypic spinal cord slices into a new system

    JINGJIE LIU1,#, XIAOYAN DING2,#, LI XIANG1, SHENGLI HUANG3,*

    BIOCELL, Vol.46, No.6, pp. 1537-1544, 2022, DOI:10.32604/biocell.2022.018441

    Abstract This study aimed to evaluate the integration of transplanted choroidal plexus epithelial cells with organotypic spinal cord slices. Organotypic spinal cord slices, normally cultured for 6 days, were divided into control group (Ctrl) and transplanted group (T). The choroidal plexus epithelial cells were dissociated and primary cultured (C group). The choroidal plexus epithelial cells cultured for 6–7 days were labeled by 1,1’-dioctadecyl-3,3,3’,3’-tetramethyl-indocarbocyanineperchlorate (CM-Dil), and were identified by transthyretin (TTR) in immunocytochemistry. They were adjusted to the density of 0.5–1 × 107/ml, then 2 μl cells suspension were transplanted to the spinal cord slices in the T group. The same amount… More >

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