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Vol.129, No.1, 2021-Table of Contents
All Articles
  • OPEN ACCESS
    ARTICLE
  • Data-Driven Determinant-Based Greedy Under/Oversampling Vector Sensor Placement
  • Yuji Saito*, Keigo Yamada, Naoki Kanda, Kumi Nakai, Takayuki Nagata, Taku Nonomura, Keisuke Asai
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 1-30, 2021, DOI:10.32604/cmes.2021.016603
  • Abstract A vector-measurement-sensor-selection problem in the undersampled and oversampled cases is considered by extending the previous novel approaches: a greedy method based on D-optimality and a noise-robust greedy method in this paper. Extensions of the vector-measurement-sensor selection of the greedy algorithms are proposed and applied to randomly generated systems and practical datasets of flowfields around the airfoil and global climates to reconstruct the full state given by the vector-sensor measurement. More
  •   Views:574       Downloads:654        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Predicting Genotype Information Related to COVID-19 for Molecular Mechanism Based on Computational Methods
  • Lejun Gong1,2,*, Xingxing Zhang1, Li Zhang3, Zhihong Gao4
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 31-45, 2021, DOI:10.32604/cmes.2021.016622
    (This article belongs to this Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
  • Abstract Novel coronavirus disease 2019 (COVID-19) is an ongoing health emergency. Several studies are related to COVID-19. However, its molecular mechanism remains unclear. The rapid publication of COVID-19 provides a new way to elucidate its mechanism through computational methods. This paper proposes a prediction method for mining genotype information related to COVID-19 from the perspective of molecular mechanisms based on machine learning. The method obtains seed genes based on prior knowledge. Candidate genes are mined from biomedical literature. The candidate genes are scored by machine learning based on the similarities measured between the seed and candidate genes. Furthermore, the results of… More
  •   Views:421       Downloads:347        Download PDF
  • OPEN ACCESS
    REVIEW
  • Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey
  • Wenqian Li1, Xing Deng1,2,*, Haijian Shao1, Xia Wang3
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 65-98, 2021, DOI:10.32604/cmes.2021.016981
  • Abstract The COVID-19 has resulted in catastrophic situation and the deaths of millions of people all over the world. In this paper, the predictions of epidemiological propagation models, such as SIR and SEIR, are introduced to analyze the earlier COVID-19 propagation. The deep learning methods combined with transfer learning are familiar with classification-detection approaches based on chest X-ray and CT images are presented in detail. Besides, deep learning approaches have also been applied to lung ultrasound (LUS), which has been shown to be more sensitive than chest X-ray and CT images in detecting COVID-19. In the absence of a vaccine, the… More

  • Graphical Abstract

    Deep Learning Applications for COVID-19 Analysis: A <i>State-of-the-Art</i> Survey
  •   Views:439       Downloads:402        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Simulating the Effect of Temperature Gradient on Grain Growth of 6061-T6 Aluminum Alloy via Monte Carlo Potts Algorithm
  • Qi Wu*, Jianan Li, Lianchun Long, Linao Liu
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 99-116, 2021, DOI:10.32604/cmes.2021.015669
  • Abstract During heat treatment or mechanical processing, most polycrystalline materials experience grain growth, which significantly affects their mechanical properties. Microstructure simulation on a mesoscopic scale is an important way of studying grain growth. A key research focus of this type of method has long been how to efficiently and accurately simulate the grain growth caused by a non-uniform temperature field with temperature gradients. In this work, we propose an improved 3D Monte Carlo Potts (MCP) method to quantitatively study the relationship between non-uniform temperature fields and final grain morphologies. Properties of the aluminum alloy AA6061-T6 are used to establish a trial… More
  •   Views:650       Downloads:465        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Medical Waste Treatment Station Selection Based on Linguistic q-Rung Orthopair Fuzzy Numbers
  • Jie Ling1,2, Xinmei Li1,2, Mingwei Lin1,2,*
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 117-148, 2021, DOI:10.32604/cmes.2021.016356
  • Abstract During the COVID-19 outbreak, the use of single-use medical supplies increased significantly. It is essential to select suitable sites for establishing medical waste treatment stations. It is a big challenge to solve the medical waste treatment station selection problem due to some conflicting factors. This paper proposes a multi-attribute decision-making (MADM) method based on the partitioned Maclaurin symmetric mean (PMSM) operator. For the medical waste treatment station selection problem, the factors or attributes (these two terms can be interchanged.) in the same clusters are closely related, and the attributes in different clusters have no relationships. The partitioned Maclaurin symmetric mean… More
  •   Views:331       Downloads:280        Download PDF
  • OPEN ACCESS
    ARTICLE
  • A Reliability Evaluation Method for Intermittent Jointed Rock Slope Based on Evolutionary Support Vector Machine
  • Shuai Zheng, An-Nan Jiang*, Kai-Shuai Feng
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 149-166, 2021, DOI:10.32604/cmes.2021.016761
  • Abstract The randomness of rock joint development is an important factor in the uncertainty of geotechnical engineering stability. In this study, a method is proposed to evaluate the reliability of intermittent jointed rock slope. The least squares support vector machine (LSSVM) evolved by a bacterial foraging optimization algorithm (BFOA) is used to establish a response surface model to express the mapping relationship between the intermittent joint parameters and the slope safety factor. The training samples are obtained from the numerical calculation based on the joint finite element method during this process. Considering the randomness of the intermittent joint parameters in the… More
  •   Views:320       Downloads:274        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Moving Least Squares Interpolation Based A-Posteriori Error Technique in Finite Element Elastic Analysis
  • Mohd Ahmed1,*, Devender Singh2, Saeed Al Qadhi1, Nguyen Viet Thanh3
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 167-189, 2021, DOI:10.32604/cmes.2021.014672
    (This article belongs to this Special Issue: Modeling Real World Problems with Mathematics)
  • Abstract The performance of a-posteriori error methodology based on moving least squares (MLS) interpolation is explored in this paper by varying the finite element error recovery parameters, namely recovery points and field variable derivatives recovery. The MLS interpolation based recovery technique uses the weighted least squares method on top of the finite element method's field variable derivatives solution to build a continuous field variable derivatives approximation. The boundary of the node support (mesh free patch of influenced nodes within a determined distance) is taken as circular, i.e., circular support domain constructed using radial weights is considered. The field variable derivatives (stress… More
  •   Views:330       Downloads:308        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Adaptive Object Tracking Discriminate Model for Multi-Camera Panorama Surveillance in Airport Apron
  • Dequan Guo1, Qingshuai Yang2, Yu-Dong Zhang3, Gexiang Zhang1, Ming Zhu1, Jianying Yuan1,*
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 191-205, 2021, DOI:10.32604/cmes.2021.016347
    (This article belongs to this Special Issue: Modeling and Analysis of Autonomous Intelligence)
  • Abstract Autonomous intelligence plays a significant role in aviation security. Since most aviation accidents occur in the take-off and landing stage, accurate tracking of moving object in airport apron will be a vital approach to ensure the operation of the aircraft safely. In this study, an adaptive object tracking method based on a discriminant is proposed in multi-camera panorama surveillance of large-scale airport apron. Firstly, based on channels of color histogram, the pre-estimated object probability map is employed to reduce searching computation, and the optimization of the disturbance suppression options can make good resistance to similar areas around the object. Then… More
  •   Views:339       Downloads:282        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Methodology for Road Defect Detection and Administration Based on Mobile Mapping Data
  • Marina Davidović1,*, Tatjana Kuzmić1, Dejan Vasić1, Valentin Wich2, Ansgar Brunn2, Vladimir Bulatović1
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 207-226, 2021, DOI:10.32604/cmes.2021.016071
    (This article belongs to this Special Issue: Intelligent Computing for Engineering Applications)
  • Abstract A detailed inspection of roads requires highly detailed spatial data with sufficient precision to deliver an accurate geometry and to describe road defects visually. This paper presents a novel method for the detection of road defects. The input data for road defect detection included point clouds and orthomosaics gathered by mobile mapping technology. The defects were categorized in three major groups with the following geometric primitives: points, lines and polygons. The method suggests the detection of point objects from matched point clouds, panoramic images and ortho photos. Defects were mapped as point, line or polygon geometries, directly derived from orthomosaics… More
  •   Views:346       Downloads:341        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Numerical Solutions of a Novel Designed Prevention Class in the HIV Nonlinear Model
  • Zulqurnain Sabir1, Muhammad Umar1, Muhammad Asif Zahoor Raja2,*, Dumitru Baleanu3,4
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 227-251, 2021, DOI:10.32604/cmes.2021.016611
    (This article belongs to this Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics)
  • Abstract The presented research aims to design a new prevention class (P) in the HIV nonlinear system, i.e., the HIPV model. Then numerical treatment of the newly formulated HIPV model is portrayed handled by using the strength of stochastic procedure based numerical computing schemes exploiting the artificial neural networks (ANNs) modeling legacy together with the optimization competence of the hybrid of global and local search schemes via genetic algorithms (GAs) and active-set approach (ASA), i.e., GA-ASA. The optimization performances through GA-ASA are accessed by presenting an error-based fitness function designed for all the classes of the HIPV model and its corresponding… More
  •   Views:301       Downloads:292        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Code Transform Model Producing High-Performance Program
  • Bao Rong Chang1,*, Hsiu-Fen Tsai2, Po-Wen Su1
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 253-277, 2021, DOI:10.32604/cmes.2021.015673
    (This article belongs to this Special Issue: Hybrid Intelligent Methods for Forecasting in Resources and Energy Field)
  • Abstract This paper introduces a novel transform method to produce the newly generated programs through code transform model called the second generation of Generative Pre-trained Transformer (GPT-2) reasonably, improving the program execution performance significantly. Besides, a theoretical estimation in statistics has given the minimum number of generated programs as required, which guarantees to find the best one within them. The proposed approach can help the voice assistant machine resolve the problem of inefficient execution of application code. In addition to GPT-2, this study develops the variational Simhash algorithm to check the code similarity between sample program and newly generated program, and… More
  •   Views:633       Downloads:460        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Uncertainty Analysis of Seepage-Induced Consolidation in a Fractured Porous Medium
  • Lingai Guo1, Marwan Fahs2, Hussein Hoteit3, Rui Gao1,*, Qian Shao1,*
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 279-297, 2021, DOI:10.32604/cmes.2021.016619
    (This article belongs to this Special Issue: Modeling of Heterogeneous Materials)
  • Abstract Numerical modeling of seepage-induced consolidation process usually encounters significant uncertainty in the properties of geotechnical materials. Assessing the effect of uncertain parameters on the performance variability of the seepage consolidation model is of critical importance to the simulation and tests of this process. To this end, the uncertainty and sensitivity analyses are performed on a seepage consolidation model in a fractured porous medium using the Bayesian sparse polynomial chaos expansion (SPCE) method. Five uncertain parameters including Young’s modulus, Poisson’s ratio, and the permeability of the porous matrix, the permeability within the fracture, and Biot’s constant are studied. Bayesian SPCE models… More
  •   Views:319       Downloads:300        Download PDF
  • OPEN ACCESS
    ARTICLE
  • IDV: Internet Domain Name Verification Based on Blockchain
  • Ning Hu1, Yu Teng2, Yan Zhao1, Shi Yin1, Yue Zhao3,*
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 299-322, 2021, DOI:10.32604/cmes.2021.016839
    (This article belongs to this Special Issue: Blockchain Security)
  • Abstract The rapid development of blockchain technology has provided new ideas for network security research. Blockchain-based network security enhancement solutions are attracting widespread attention. This paper proposes an Internet domain name verification method based on blockchain. The authenticity of DNS (Domain Name System) resolution results is crucial for ensuring the accessibility of Internet services. Due to the lack of adequate security mechanisms, it has always been a challenge to verify the authenticity of Internet domain name resolution results. Although the solution represented by DNSSEC (Domain Name System Security Extensions) can theoretically solve the domain name verification problem, it has not been… More
  •   Views:302       Downloads:300        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Neutrosophic N-Structures Applied to Sheffer Stroke BL-Algebras
  • Tugce Katican1, Tahsin Oner1, Akbar Rezaei2,*, Florentin Smarandache3
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 355-372, 2021, DOI:10.32604/cmes.2021.016996
    (This article belongs to this Special Issue: Advances in Neutrosophic and Plithogenic Sets for Engineering and Sciences: Theory, Models, and Applications (ANPSESTMA))
  • Abstract In this paper, we introduce a neutrosophic N-subalgebra, a (ultra) neutrosophic N-filter, level sets of these neutrosophic N-structures and their properties on a Sheffer stroke BL-algebra. By defining a quasi-subalgebra of a Sheffer stroke BL-algebra, it is proved that the level set of neutrosophic N-subalgebras on the algebraic structure is its quasi-subalgebra and vice versa. Then we show that the family of all neutrosophic N-subalgebras of a Sheffer stroke BL-algebra forms a complete distributive lattice. After that a (ultra) neutrosophic N-filter of a Sheffer stroke BL-algebra is described, we demonstrate that every neutrosophic N-filter of a Sheffer stroke BL-algebra is… More
  •   Views:339       Downloads:313        Download PDF
  • OPEN ACCESS
    ARTICLE
  • Study of Degenerate Poly-Bernoulli Polynomials by λ-Umbral Calculus
  • Lee-Chae Jang1, Dae San Kim2, Hanyoung Kim3, Taekyun Kim3,*, Hyunseok Lee3
  • CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 393-408, 2021, DOI:10.32604/cmes.2021.016917
    (This article belongs to this Special Issue: Trend Topics in Special Functions and Polynomials: Theory, Methods, Applications and Modeling)
  • Abstract Recently, degenerate poly-Bernoulli polynomials are defined in terms of degenerate polyexponential functions by Kim-Kim-Kwon-Lee. The aim of this paper is to further examine some properties of the degenerate poly-Bernoulli polynomials by using three formulas from the recently developed ‘λ-umbral calculus.’ In more detail, we represent the degenerate poly-Bernoulli polynomials by Carlitz Bernoulli polynomials and degenerate Stirling numbers of the first kind, by fully degenerate Bell polynomials and degenerate Stirling numbers of the first kind, and by higherorder degenerate Bernoulli polynomials and degenerate Stirling numbers of the second kind. More
  •   Views:883       Downloads:572        Download PDF
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