Submit

Login Login

Register Register

Home / Journals / CMES / Vol.133, No.1, 2022
Journal Menu
Special Issues
Table of Content

All issues

Online First

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

Show export options

  • Open AccessOpen Access

    REVIEW

    Recent Progress on Aeroelasticity of High-Performance Morphing UAVs

    Binbin Lv, Jun Zha, Kaichun Zeng*, Hongtao Guo, Li Yu and Peng Zhang
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 1-29, 2022, DOI:10.32604/cmes.2022.020572 - 18 July 2022
    （This article belongs to the Special Issue: Vibration Control and Utilization)
    Abstract The high-performance morphing aircraft has become a research focus all over the world. The morphing aircraft, unlike regular unmanned aerial vehicles (UAVs), has more complicated aerodynamic characteristics, making itmore difficultto conduct its design, model analysis, and experimentation. This paper reviews the recent process and the current status of aeroelastic issues, numerical simulations, and wind tunnel test of morphing aircrafts. The evaluation of aerodynamic characteristics, mechanism, and relevant unsteady dynamic aerodynamic modeling throughout the morphing process are the primary technological bottlenecks formorphing aircrafts. The unstable aerodynamic forces have a significant impact on the aircraft handling characteristics,… More >

    View

    1983

    Download

    1195

    Like

    1

  • Open AccessOpen Access

    ARTICLE

    An Intelligent Prediction Model for Target Protein Identification in Hepatic Carcinoma Using Novel Graph Theory and ANN Model

    G. Naveen Sundar1, Stalin Selvaraj2, D. Narmadha1, K. Martin Sagayam3, A. Amir Anton Jone3, Ayman A. Aly4, Dac-Nhuong Le5,6,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 31-46, 2022, DOI:10.32604/cmes.2022.019914 - 18 July 2022
    Abstract Hepatocellular carcinoma (HCC) is one major cause of cancer-related mortality around the world. However, at advanced stages of HCC, systematic treatment options are currently limited. As a result, new pharmacological targets must be discovered regularly, and then tailored medicines against HCC must be developed. In this research, we used biomarkers of HCC to collect the protein interaction network related to HCC. Initially, DC (Degree Centrality) was employed to assess the importance of each protein. Then an improved Graph Coloring algorithm was used to rank the target proteins according to the interaction with the primary target More >

    View

    2001

    Download

    1055

  • Open AccessOpen Access

    ARTICLE

    An Efficient Computational Method for Differential Equations of Fractional Type

    Mustafa Turkyilmazoglu1,2,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 47-65, 2022, DOI:10.32604/cmes.2022.020781 - 18 July 2022
    Abstract An effective solution method of fractional ordinary and partial differential equations is proposed in the present paper. The standard Adomian Decomposition Method (ADM) is modified via introducing a functional term involving both a variable and a parameter. A residual approach is then adopted to identify the optimal value of the embedded parameter within the frame of L2 norm. Numerical experiments on sample problems of open literature prove that the presented algorithm is quite accurate, more advantageous over the traditional ADM and straightforward to implement for the fractional ordinary and partial differential equations of the recent focus More >

    View

    2338

    Download

    989

  • Open AccessOpen Access

    ARTICLE

    Improved STCA Model for Multi-Lane Using Driving Guidance under CVIS

    Xun Li1, Wenzhe Ma1,*, Zhengfan Zhao2, Muhammad Bashir1, Wenjie Wang1, Xiaohua Wang1
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 67-92, 2022, DOI:10.32604/cmes.2022.020019 - 18 July 2022
    Abstract In a multi-lane area, the increasing randomness of lane changes contributes to traffic insecurity and local traffic flow instability. A study on safe lane shifting activity that focuses on threat assessment under real-time knowledge is necessary to enhance smooth vehicle flow. This paper proposed a more comprehensive lane changing guidance rule to investigate the status of surrounding vehicles to accommodate future vehicle-on-road collaborative environments based on these parameters 1) lane change demand and 2) treat assessment function. The collaborative relationships between vehicles are analyzed using a cellular automata model based on their location, velocity, and… More >

    View

    1485

    Download

    667

  • Open AccessOpen Access

    ARTICLE

    Reducing the Range of Cancer Risk on BI-RADS 4 Subcategories via Mathematical Modelling

    Nezihal Gokbulut1,2, Evren Hincal1,2,*, Hasan Besim3, Bilgen Kaymakamzade1,2
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 93-109, 2022, DOI:10.32604/cmes.2022.019782 - 18 July 2022
    （This article belongs to the Special Issue: Mathematical Aspects of Computational Biology and Bioinformatics)
    Abstract Breast Imaging Reporting and Data System, also known as BI-RADS is a universal system used by radiologists and doctors. It constructs a comprehensive language for the diagnosis of breast cancer. BI-RADS 4 category has a wide range of cancer risk since it is divided into 3 categories. Mathematical models play an important role in the diagnosis and treatment of cancer. In this study, data of 42 BI-RADS 4 patients taken from the Center for Breast Health, Near East University Hospital is utilized. Regarding the analysis, a mathematical model is constructed by dividing the population into… More >

    View

    2329

    Download

    1078

  • Open AccessOpen Access

    ARTICLE

    Performance Analysis of an Artificial Intelligence Nanosystem with Biological Internet of Nano Things

    Saied M. Abd El-atty1,*, Nancy A. Arafa1, Atef Abouelazm1, Osama Alfarraj2, Konstantinos A. Lizos3, Farid Shawki1
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 111-131, 2022, DOI:10.32604/cmes.2022.020793 - 18 July 2022
    （This article belongs to the Special Issue: Artificial Intelligence of Things (AIoT): Emerging Trends and Challenges)
    Abstract Artificial intelligence (AI) has recently been used in nanomedical applications, in which implanted intelligent nanosystems inside the human body were used to diagnose and treat a variety of ailments with the help of the Internet of biological Nano Things (IoBNT). Biological circuit engineering or nanomaterial-based architectures can be used to approach the nanosystem. In nanomedical applications, the blood vascular medium serves as a communication channel, demonstrating a molecular communication system based on flow and diffusion. This paper presents a performance study of the channel capacity for flow-based-diffusive molecular communication nanosystems that takes into account the More >

    View

    2277

    Download

    894

  • Open AccessOpen Access

    ARTICLE

    Dense-Structured Network Based Bearing Remaining Useful Life Prediction System

    Ping-Huan Kuo1,2, Ting-Chung Tseng1, Po-Chien Luan2, Her-Terng Yau1,2,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 133-151, 2022, DOI:10.32604/cmes.2022.020350 - 18 July 2022
    （This article belongs to the Special Issue: Computational Mechanics Assisted Modern Urban Planning and Infrastructure)
    Abstract This work is focused on developing an effective method for bearing remaining useful life predictions. The method is useful in accurately predicting the remaining useful life of bearings so that machine damage, production outage, and human accidents caused by unexpected bearing failure can be prevented. This study uses the bearing dataset provided by FEMTO-ST Institute, Besançon, France. This study starts with the exploration of neural networks, based on which the biaxial vibration signals are modeled and analyzed. This paper introduces pre-processing of bearing vibration signals, neural network model training and adjustment of training data. The More >

    View

    3114

    Download

    1303

  • Open AccessOpen Access

    ARTICLE

    Optimization Analysis of the Mixing Chamber and Diffuser of Ejector Based on Fano Flow Model

    Lixing Zheng1,*, Weibo Wang2, Yiyan Zhang1, Lingmei Wang3, Wei Lu2
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 153-170, 2022, DOI:10.32604/cmes.2022.021235 - 18 July 2022
    （This article belongs to the Special Issue: Recent Advance of the Isogeometric Boundary Element Method and its Applications)
    Abstract An improved model to calculate the length of the mixing chamber of the ejector was proposed on the basis of the Fano flow model, and a method to optimize the structures of the mixing chamber and diffuser of the ejector was put forward. The accuracy of the model was verified by comparing the theoretical results calculated using the model to experimental data reported in literature. Variations in the length of the mixing chamber Lm and length of the diffuser Ld with respect to variations in the outlet temperature of the ejector Tc, outlet pressure of the ejector… More >

    View

    1453

    Download

    805

  • Open AccessOpen Access

    ARTICLE

    Dynamic Meta-Modeling Method to Assess Stochastic Flutter Behavior in Turbomachinery

    Bowei Wang1, Wenzhong Tang1, Lukai Song2,3,*, Guangchen Bai3
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 171-193, 2022, DOI:10.32604/cmes.2022.021123 - 18 July 2022
    （This article belongs to the Special Issue: Computer-Aided Structural Integrity and Safety Assessment)
    Abstract With increasing design demands of turbomachinery, stochastic flutter behavior has become more prominent and even appears a hazard to reliability and safety. Stochastic flutter assessment is an effective measure to quantify the failure risk and improve aeroelastic stability. However, for complex turbomachinery with multiple dynamic influencing factors (i.e., aeroengine compressor with time-variant loads), the stochastic flutter assessment is hard to be achieved effectively, since large deviations and inefficient computing will be incurred no matter considering influencing factors at a certain instant or the whole time domain. To improve the assessing efficiency and accuracy of stochastic… More >

    View

    2435

    Download

    1232

  • Open AccessOpen Access

    ARTICLE

    Implementation of OpenMP Parallelization of Rate-Dependent Ceramic Peridynamic Model

    Haoran Zhang1, Yaxun Liu2, Lisheng Liu2,*, Xin Lai2,*, Qiwen Liu2, Hai Mei2
    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 195-217, 2022, DOI:10.32604/cmes.2022.020495 - 18 July 2022
    （This article belongs to the Special Issue: Peridynamics and its Current Progress)
    Abstract A rate-dependent peridynamic ceramic model, considering the brittle tensile response, compressive plastic softening and strain-rate dependence, can accurately represent the dynamic response and crack propagation of ceramic materials. However, it also considers the strain-rate dependence and damage accumulation caused by compressive plastic softening during the compression stage, requiring more computational resources for the bond force evaluation and damage evolution. Herein, the OpenMP parallel optimization of the rate-dependent peridynamic ceramic model is investigated. Also, the modules that compute the interactions between material points and update damage index are vectorized and parallelized. Moreover, the numerical examples are More >

    View

    2736

    Download

    1068

Per Page:
Copyright© 2024 Tech Science Press
© 1997-2024 TSP (Henderson, USA) unless otherwise stated

Share Link