Open Access
ARTICLE
Majid Monajjemi1,*, Rahim Esmkhani2, Fatemeh Mollaamin1, Sara Shahriari3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 907-926, 2020, DOI:10.32604/cmes.2020.012846
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Current understanding about how the virus that causes COVID-19
spreads is largely based on what is known about similar coronaviruses.
Some of the Natural products are suitable drugs against SARS-CoV-2 main
protease. For recognizing a strong inhibitor, we have accomplished docking studies on the major virus protease with 4 natural product species as
anti COVID-19 (SARS-CoV-2), namely “Vidarabine”, “Cytarabine”, “Gemcitabine” and “Matrine” which have been extracted from Gillan’s leaves plants.
These are known as Chuchaq, Trshvash, Cote-Couto and Khlvash in Iran.
Among these four studied compounds, Cytarabine appears as a suitable compound with high effectiveness inhibitors to this protease. Finally… More >
Open Access
ARTICLE
Yupaporn Areepong1, Rapin Sunthornwat2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 927-942, 2020, DOI:10.32604/cmes.2020.012323
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract Coronavirus disease 2019 outbreak has spread as a pandemic since
the end of year 2019. This situation has been causing a lot of problems of
human beings such as economic problems, health problems. The forecasting
of the number of infectious people is required by the authorities of all countries including Southeast Asian countries to make a decision and control the
outbreak. This research is to investigate the suitable forecasting model for
the number of infectious people in Southeast Asian countries. A comparison
of forecasting models between logistic growth curve which is symmetric and
Gompertz growth curve which is asymmetric based… More >
Open Access
ARTICLE
Meenu Gupta1, Rachna Jain2, Akash Gupta2,*, Kunal Jain2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 943-965, 2020, DOI:10.32604/cmes.2020.012467
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract The spread of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has already taken on pandemic extents, inuencing
even more than 200 nations in a couple of months. Although, regulation
measures in China have decreased new cases by over 98%, this decrease is not
the situation everywhere, and most of the countries still have been affected
by it. The objective of this research work is to make a comparative analysis
of the top 5 most populated countries namely United States, India, China,
Pakistan and Indonesia, from 1st January 2020 to 31st July 2020. This research
work also targets to predict… More >
Open Access
ARTICLE
Avaneesh Singh*, Saroj Kumar Chandra, Manish Kumar Bajpai
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 967-990, 2020, DOI:10.32604/cmes.2020.011601
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract COVID-19 disease has emerged as one of the life threatening threat
to the society. A novel beta coronavirus causes it. It began as unidentified
pneumonia of unknown etiology in Wuhan City, Hubei province in China
emerged in December 2019. No vaccine has been produced till now. Mathematical models are used to study the impact of different measures used
to decrease pandemic. Mathematical models have been designed to estimate
the numbers of spreaders in different scenarios in the present manuscript.
In the present manuscript, three different mathematical models have been
proposed with different scenarios, such as screening, quarantine, and NPIs, to… More >
Open Access
ARTICLE
Avaneesh Singh*, Manish Kumar Bajpai
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 991-1031, 2020, DOI:10.32604/cmes.2020.012503
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract We have proposed a new mathematical method, the SEIHCRD
model, which has an excellent potential to predict the incidence of
COVID-19 diseases. Our proposed SEIHCRD model is an extension of the
SEIR model. Three-compartments have added death, hospitalized, and critical, which improves the basic understanding of disease spread and results. We
have studied COVID-19 cases of six countries, where the impact of this disease
in the highest are Brazil, India, Italy, Spain, the United Kingdom, and the
United States. After estimating model parameters based on available clinical
data, the model will propagate and forecast dynamic evolution. The model calculates the… More >
Open Access
ARTICLE
M. H. A. Biswas1,*, M. A. Islam1, S. Akter2, S. Mandal2, M. S. Khatun1, S. A. Samad1, A. K. Paul1, M. R. Khatun1
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1033-1060, 2020, DOI:10.32604/cmes.2020.012792
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract COVID-19 is one of the most highly infectious diseases ever emerged
and caused by newly discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has already led the entire world to health and
economic crisis. It has invaded the whole universe all most every way. The
present study demonstrates with a nine mutually exclusive compartmental
model on transmission dynamics of this pandemic disease (COVID-19), with
special focus on the transmissibility of symptomatic and asymptomatic infection from susceptible individuals. Herein, the compartmental model has been
investigated with mathematical analysis and computer simulations in order to
understand the dynamics of COVID-19 transmission.… More >
Open Access
ARTICLE
Daiane Cristina Zanatta1,*, Luciano Kiyoshi Araki2, Marcio Augusto Villela Pinto2, Diego Fernando Moro3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1061-1081, 2020, DOI:10.32604/cmes.2020.012634
Abstract This paper seeks to develop an efficient multigrid algorithm for
solving the Burgers problem with the use of non-orthogonal structured curvilinear grids in L-shaped geometry. For this, the differential equations were
discretized by Finite Volume Method (FVM) with second-order approximation scheme and deferred correction. Moreover, the algebraic method and
the differential method were used to generate the non-orthogonal structured
curvilinear grids. Furthermore, the influence of some parameters of geometric
multigrid method, as well as lexicographical Gauss–Seidel (Lex-GS), η-line
Gauss–Seidel (η-line-GS), Modified Strongly Implicit (MSI) and modified
incomplete LU decomposition (MILU) solvers on the Central Processing
Unit (CPU) time was investigated.… More >
Open Access
ARTICLE
Jiao Ge1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1083-1100, 2020, DOI:10.32604/cmes.2021.013039
（This article belongs to this Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
Abstract With the rapid development of medical informatization and the
popularization of digital imaging equipment, DICOM images contain the
personal privacy of patients, and there are security risks in the process of
storage and transmission, so it needs to be encrypted. In order to solve the
security problem of medical images on mobile devices, a safe and efficient
medical image encryption algorithm called ALCencryption is designed. The
algorithm first analyzes the medical image and distinguishes the color image
from the gray image. For gray images, the improved Arnold map is used to
scramble them according to the optimal number of iterations,… More >
Open Access
ARTICLE
Yousheng Zhou1,2, Lvjun Chen1, Xiaofeng Zhao1,*, Zheng Yang3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1101-1118, 2020, DOI:10.32604/cmes.2021.013289
（This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
Abstract Vehicle sensor networks (VSN) play an increasingly important part
in smart city, due to the interconnectivity of the infrastructure. However
similar to other wireless communications, vehicle sensor networks are susceptible to a broad range of attacks. In addition to ensuring security for
both data-at-rest and data-in-transit, it is essential to preserve the privacy
of data and users in vehicle sensor networks. Many existing authentication
schemes for vehicle sensor networks are generally not designed to also preserve
the privacy between the user and service provider (e.g., mining user data to
provide personalized services without infringing on user privacy). Controllable linkability can… More >
Open Access
ARTICLE
Asad Ejaz1, Imran Abbas1, Yasir Nawaz1, Muhammad Shoaib Arif1, Wasfi Shatanawi2,3,4,*, Javeria Nawaz Abbasi5
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1119-1134, 2020, DOI:10.32604/cmes.2020.012091
（This article belongs to this Special Issue: Modeling and Simulation of Fluid flows in Fractured Porous Media: Current Trends and Prospects)
Abstract In the present research, Tiwari and Das model are used for the
impact of a magnetic field on non-Newtonian nanofluid flow in the presence
of injection and suction. The PDEs are converted into ordinary differential
equations (ODEs) using the similarity method. The obtained ordinary differential equations are solved numerically using shooting method along with
RK-4. Part of the present study uses nanoparticles (NPs) like TiO2 and Al2O3
and sodium carboxymethyl cellulose (CMC/water) is considered as a base
fluid (BF). This study is conducted to find the influence of nanoparticles,
Prandtl number, and magnetic field on velocity and temperature profile, however,… More >
Open Access
ARTICLE
Junhui Wang1, Wanzi Yan1, Zhijun Wan1,*, Yi Wang2,*, Jiakun Lv1, Aiping Zhou3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1135-1157, 2020, DOI:10.32604/cmes.2020.014313
（This article belongs to this Special Issue: Modeling and Simulation of Fluid flows in Fractured Porous Media: Current Trends and Prospects)
Abstract Precise recovery of Coalbed Methane (CBM) based on transparent
reconstruction of geological conditions is a branch of intelligent mining.
The process of permeability reconstruction, ranging from data perception
to real-time data visualization, is applicable to disaster risk warning and
intelligent decision-making on gas drainage. In this study, a machine learning
method integrating the Random Forest (RF) and the Genetic Algorithm
(GA) was established for permeability prediction in the Xishan Coalfield
based on Uniaxial Compressive Strength (UCS), effective stress, temperature
and gas pressure. A total of 50 sets of data collected by a self-developed
apparatus were used to generate datasets for… More >
Open Access
ARTICLE
Jie Yang1,2, Changping Chen1,2,*, Ao Ma1
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1159-1171, 2020, DOI:10.32604/cmes.2020.09640
（This article belongs to this Special Issue: Novel Methods for Reliability Evaluation and Optimization of Complex Mechanical Structures)
Abstract System reliability sensitivity analysis becomes difficult due to involving the issues of the correlation between failure modes whether using analytic method or numerical simulation methods. A fast conditional reduction
method based on conditional probability theory is proposed to solve the
sensitivity analysis based on the approximate analytic method. The relevant
concepts are introduced to characterize the correlation between failure modes
by the reliability index and correlation coefficient, and conditional normal
fractile the for the multi-dimensional conditional failure analysis is proposed
based on the two-dimensional normal distribution function. Thus the calculation of system failure probability can be represented as a summation… More >
Open Access
ARTICLE
Zhenxin Zhao1,#, Tong Chen2,#, Xudong Liu3, Shengzhang Wang2,4,*, Haiyan Lu5,*
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1173-1184, 2020, DOI:10.32604/cmes.2020.013702
（This article belongs to this Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
Abstract In order to improve the surgical treatment of the congenital heart
disease patient with single ventricle defect, two axial flow blood pumps, one
with diffuser and the other without diffuser, were designed and virtually
implanted into an idealized total cavopulmonary connection (TCPC) model
to form two types of Pump-TCPC physiological structure. Computational
fluid dynamics (CFD) simulations were performed to analyze the variations of
the hemodynamic characteristics, such as flow field, wall shear stress (WSS),
oscillatory shear index (OSI), relative residence time (RRT), between the two
Pump-TCPC models. Numerical results indicate that the Pump-TCPC with
diffuser has better flow field stability,… More >
Open Access
ARTICLE
Mohammad Zuber1, John Valerian Corda1, Milad Ahmadi2, B. Satish Shenoy1, Irfan Anjum Badruddin3,*, Ali E. Anqi3, Kamarul Arifin Ahmad4, S. M. Abdul Khader5, Leslie Lewis6, Mohammad Anas Khan7, Sarfaraz Kamangar3
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1185-1199, 2020, DOI:10.32604/cmes.2020.015015
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract The novel coronavirus responsible for COVID-19 has spread to
several countries within a considerably short period. The virus gets deposited
in the human nasal cavity and moves to the lungs that might be fatal. As per
safety guidelines by the World Health Organization (WHO), social distancing
has emerged as one of the major factors to avoid the spread of infection.
However, different guidelines are being followed across the countries with
regards to what should be the safe distance. Thus, the current work is an
attempt to understand the virus deposition pattern in the realistic human
nasal cavity and also to… More >
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