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  • Open Access

    ARTICLE

    Deep Learning-Based Algorithm for Multi-Type Defects Detection in Solar Cells with Aerial EL Images for Photovoltaic Plants

    Wuqin Tang, Qiang Yang, Wenjun Yan*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1423-1439, 2022, DOI:10.32604/cmes.2022.018313

    Abstract Defects detection with Electroluminescence (EL) image for photovoltaic (PV) module has become a standard test procedure during the process of production, installation, and operation of solar modules. There are some typical defects types, such as crack, finger interruption, that can be recognized with high accuracy. However, due to the complexity of EL images and the limitation of the dataset, it is hard to label all types of defects during the inspection process. The unknown or unlabeled create significant difficulties in the practical application of the automatic defects detection technique. To address the problem, we proposed an evolutionary algorithm combined with… More >

  • Open Access

    ARTICLE

    The Method of Fundamental Solutions for Two-Dimensional Elastostatic Problems with Stress Concentration and Highly Anisotropic Materials

    M. R. Hematiyan1,*, B. Jamshidi1, M. Mohammadi2

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1349-1369, 2022, DOI:10.32604/cmes.2022.018235

    Abstract The method of fundamental solutions (MFS) is a boundary-type and truly meshfree method, which is recognized as an efficient numerical tool for solving boundary value problems. The geometrical shape, boundary conditions, and applied loads can be easily modeled in the MFS. This capability makes the MFS particularly suitable for shape optimization, moving load, and inverse problems. However, it is observed that the standard MFS lead to inaccurate solutions for some elastostatic problems with stress concentration and/or highly anisotropic materials. In this work, by a numerical study, the important parameters, which have significant influence on the accuracy of the MFS for… More >

  • Open Access

    ARTICLE

    Image Reconstruction for ECT under Compressed Sensing Framework Based on an Overcomplete Dictionary

    Xuebin Qin1,*, Yutong Shen1, Jiachen Hu1, Mingqiao Li1, Peijiao Yang1, Chenchen Ji1, Xinlong Zhu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1699-1717, 2022, DOI:10.32604/cmes.2022.018234

    Abstract Electrical capacitance tomography (ECT) has great application potential in multiphase process monitoring, and its visualization results are of great significance for studying the changes in two-phase flow in closed environments. In this paper, compressed sensing (CS) theory based on dictionary learning is introduced to the inverse problem of ECT, and the K-SVD algorithm is used to learn the overcomplete dictionary to establish a nonlinear mapping between observed capacitance and sparse space. Because the trained overcomplete dictionary has the property to match few features of interest in the reconstructed image of ECT, it is not necessary to rely on the sparsity… More >

  • Open Access

    ARTICLE

    An Analysis of Integrating Machine Learning in Healthcare for Ensuring Confidentiality of the Electronic Records

    Adil Hussain Seh1, Jehad F. Al-Amri2, Ahmad F. Subahi3, Alka Agrawal1, Nitish Pathak4, Rajeev Kumar5,6,*, Raees Ahmad Khan1

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1387-1422, 2022, DOI:10.32604/cmes.2022.018163

    Abstract The adoption of sustainable electronic healthcare infrastructure has revolutionized healthcare services and ensured that E-health technology caters efficiently and promptly to the needs of the stakeholders associated with healthcare. Despite the phenomenal advancement in the present healthcare services, the major obstacle that mars the success of E-health is the issue of ensuring the confidentiality and privacy of the patients’ data. A thorough scan of several research studies reveals that healthcare data continues to be the most sought after entity by cyber invaders. Various approaches and methods have been practiced by researchers to secure healthcare digital services. However, there are very… More >

  • Open Access

    ARTICLE

    Identification of Denatured Biological Tissues Based on Improved Variational Mode Decomposition and Autoregressive Model during HIFU Treatment

    Bei Liu1, Xian Zhang2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1547-1563, 2022, DOI:10.32604/cmes.2022.018130

    Abstract During high-intensity focused ultrasound (HIFU) treatment, the accurate identification of denatured biological tissue is an important practical problem. In this paper, a novel method based on the improved variational mode decomposition (IVMD) and autoregressive (AR) model was proposed, which identified denatured biological tissue according to the characteristics of ultrasonic scattered echo signals during HIFU treatment. Firstly, the IVMD method was proposed to solve the problem that the VMD reconstruction signal still has noise due to the limited number of intrinsic mode functions (IMF). The ultrasonic scattered echo signals were reconstructed by the IVMD to achieve denoising. Then, the AR model… More >

  • Open Access

    ARTICLE

    Dynamic Performance of Straddle Monorail Curved Girder Bridge

    Yan Zhou1,*, Kai Zhang2, Feng Miao3, Pengfei Yang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1669-1682, 2022, DOI:10.32604/cmes.2022.018101

    Abstract In this work, a monorail vehicle-bridge coupling (VBC) model capable of accurately considering curve alignment and superelevation is established based on curvilinear moving coordinate system, to study the VBC vibration of straddle monorail curved girder bridge and the relevant factors influencing VBC. While taking Chongqing Jiao Xin line as an example, the VBC program is compiled using Fortran, where the reliability of algorithm and program is verified by the results of Chongqing monorail test. Moreover, the effects of curve radius, vehicle speed, and track irregularity on the corresponding vehicle and bridge vibrations are compared and analyzed. It is observed that… More >

  • Open Access

    ARTICLE

    Stroke Based Painterly Rendering with Mass Data through Auto Warping Generation

    Taemin Lee1, Beomsik Kim2, Sanghyun Seo3, Kyunghyun Yoon4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1441-1457, 2022, DOI:10.32604/cmes.2022.018010

    Abstract Painting is done according to the artist's style. The most representative of the style is the texture and shape of the brush stroke. Computer simulations allow the artist's painting to be produced by taking this stroke and pasting it onto the image. This is called stroke-based rendering. The quality of the result depends on the number or quality of this stroke, since the stroke is taken to create the image. It is not easy to render using a large amount of information, as there is a limit to having a stroke scanned. In this work, we intend to produce rendering… More >

  • Open Access

    ARTICLE

    Localization of Mobile Robot Aided for Large-Scale Construction Based on Optimized Artificial Landmark Map in Ongoing Scene

    Zhen Xu1, Shuai Guo1,2,*, Tao Song1, Yuwen Li1, Lingdong Zeng1

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1853-1882, 2022, DOI:10.32604/cmes.2022.018004

    Abstract The effectiveness of mobile robot aided for architectural construction depends strongly on its accurate localization ability. Localization of mobile robot is increasingly important for the printing of buildings in the construction scene. Although many available studies on the localization have been conducted, only a few studies have addressed the more challenging problem of localization for mobile robot in large-scale ongoing and featureless scenes. To realize the accurate localization of mobile robot in designated stations, we build an artificial landmark map and propose a novel nonlinear optimization algorithm based on graphs to reduce the uncertainty of the whole map. Then, the… More >

  • Open Access

    ARTICLE

    Dombi-Normalized Weighted Bonferroni Mean Operators with Novel Multiple-Valued Complex Neutrosophic Uncertain Linguistic Sets and Their Application in Decision Making

    Tahir Mahmood1, Zeeshan Ali1, Dulyawit Prangchumpol2,*, Thammarat Panityakul3

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1587-1623, 2022, DOI:10.32604/cmes.2022.017998

    Abstract Although fuzzy set concepts have evolved, neutrosophic sets are attracting more attention due to the greater power of the structure of neutrosophic sets. The ability to account for components that are true, false or neither true nor false is useful in the resolution of real-life problems. However, simultaneous variations render neutrosophic sets unsuitable in specific circumstances. To enable the management of these sorts of issues, we combine the principle of multi-valued neutrosophic uncertain linguistic sets and complex fuzzy sets to develop the principle of multi-valued complex neutrosophic uncertain linguistic sets. Multi-valued complex neutrosophic uncertain linguistic sets can contain grades of… More >

  • Open Access

    ARTICLE

    A Novel Bidirectional Interaction Model and Electric Energy Measuring Scheme of EVs for V2G with Distorted Power Loads

    Jiarui Cui1,2,*, Qing Li1,*, Bin Cao2,3, Xiangquan Li1, Qun Yan1

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1789-1806, 2022, DOI:10.32604/cmes.2022.017958

    Abstract With the increasing demand for petroleum resources and environmental issues, new energy electric vehicles are increasingly being used. However, the large number of electric vehicles connected to the grid has brought new challenges to the operation of the grid. Firstly, A novel bidirectional interaction model is established based on modulation theory with nonlinear loads. Then, the electric energy measuring scheme of EVs for V2G is derived under the conditions of distorted power loads. The scheme is composed of fundamental electric energy, fundamental-distorted electric energy, distorted-fundamental electric energy and distorted electric energy. And the characteristics of each electric energy are analyzed.… More >

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