CMES-Computer Modeling in Engineering & Sciences

The old submission system has been replaced by a new version for the journal "CMES-Computer Modeling in Engineering & Sciences".
Please be noticed, manuscripts submitted before 10 March 2021 will still be processed by our old submission system.
The email ID registered to the old submission system can be used to log in to the new system by using your registered email address.
If you have trouble logging in, please click on "Forgot your password" to reset your password. Please click here to access
the new submission system. If you meet any questions, please do not hesitate to contact us.

ISSN: 1526-1492 (print) Impact Factor: 0.805
ISSN: 1526-1506 (online) Publication Frequency: Monthly

About the Journal

This journal publishes original research papers of reasonable permanent value, in the areas of computational mechanics, computational physics, computational chemistry, and computational biology, pertinent to solids, fluids, gases, biomaterials, and other continua. Various length scales (quantum, nano, micro, meso, and macro), and various time scales (picoseconds to hours) are of interest. Papers which deal with multi-physics problems, as well as those which deal with the interfaces of mechanics, chemistry, and biology, are particularly encouraged. New computational approaches, and more efficient algorithms, which eventually make near-real-time computations possible, are welcome. Original papers dealing with new methods such as meshless methods, and mesh-reduction methods are sought.

Indexing and Abstracting

Science Citation Index (Web of Science): 2019 Impact Factor 0.805; Current Contents: Engineering, Computing & Technology; Scopus Citescore (Impact per Publication 2019): 1.0; SNIP (Source Normalized Impact per Paper 2019): 0.499; RG Journal Impact (average over last three years); Engineering Index (Compendex); Applied Mechanics Reviews; Cambridge Scientific Abstracts: Aerospace and High Technology, Materials Sciences & Engineering, and Computer & Information Systems Abstracts Database; CompuMath Citation Index; INSPEC Databases; Mathematical Reviews; MathSci Net; Mechanics; Science Alert; Science Navigator; Zentralblatt fur Mathematik; Portico, etc...

Current Issue - Vol.127, No.1, 2021 Most Viewed

OPEN ACCESS
ARTICLE
Nonlinear Problems via a Convergence Accelerated Decomposition Method of Adomian
Mustafa Turkyilmazoglu^1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 1-22, 2021, DOI:10.32604/cmes.2021.012595
Abstract The present paper is devoted to the convergence control and accelerating the traditional Decomposition Method of Adomian (ADM). By means of perturbing the initial or early terms of the Adomian iterates by adding a parameterized term, containing an embedded parameter, new modified ADM is constructed. The optimal value of this parameter is later determined via squared residual minimizing the error. The failure of the classical ADM is also prevented by a suitable value of the embedded parameter, particularly beneficial for the Duan–Rach modification of the ADM incorporating all the boundaries into the formulation. With the presented squared residual error analysis,… More
Views:419 Downloads:268 Download PDF

OPEN ACCESS
ARTICLE
Exact Run Length Evaluation on a Two-Sided Modified Exponentially Weighted Moving Average Chart for Monitoring Process Mean
Piyatida Phanthuna, Yupaporn Areepong^*, Saowanit Sukparungsee
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 23-41, 2021, DOI:10.32604/cmes.2021.013810
Abstract A modified exponentially weighted moving average (EWMA) scheme is one of the quality control charts such that this control chart can quickly detect a small shift. The average run length (ARL) is frequently used for the performance evaluation on control charts. This paper proposes the explicit formula for evaluating the average run length on a two-sided modified exponentially weighted moving average chart under the observations of a first-order autoregressive process, referred to as AR(1) process, with an exponential white noise. The performance comparison of the explicit formula and the numerical integral technique is carried out using the absolute relative change… More
Views:120 Downloads:95 Download PDF

OPEN ACCESS
ARTICLE
An Effective Feature Modeling Approach for 3D Structural Topology Design Optimization
Fusheng Qiu^1,*, Hongliang Liu^1,*, Hongjuan Zhao²
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 43-57, 2021, DOI:10.32604/cmes.2021.014530
Abstract This paper presents a feature modeling approach to address the 3D structural topology design optimization with feature constraints. In the proposed algorithm, various features are formed into searchable shape features by the feature modeling technology, and the models of feature elements are established. The feature elements that meet the design requirements are found by employing a feature matching technology, and the constraint factors combined with the pseudo density of elements are initialized according to the optimized feature elements. Then, through controlling the constraint factors and utilizing the optimization criterion method along with the filtering technology of independent mesh, the structural… More
Views:132 Downloads:105 Download PDF

OPEN ACCESS
ARTICLE
Three-Dimensional Modeling of the Retinal Vascular Tree via Fractal Interpolation
Hichem Guedri^1,*, Abdullah Bajahzar², Hafedh Belmabrouk³
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 59-77, 2021, DOI:10.32604/cmes.2021.013632
Abstract In recent years, the three dimensional reconstruction of vascular structures in the field of medical research has been extensively developed. Several studies describe the various numerical methods to numerical modeling of vascular structures in near-reality. However, the current approaches remain too expensive in terms of storage capacity. Therefore, it is necessary to find the right balance between the relevance of information and storage space. This article adopts two sets of human retinal blood vessel data in 3D to proceed with data reduction in the first part and then via 3D fractal reconstruction, recreate them in a second part. The results… More
Views:114 Downloads:79 Download PDF

OPEN ACCESS
ARTICLE
Experimental and Numerical Study on the Shear Strength and Strain Energy of Rock Under Constant Shear Stress and Unloading Normal Stress
Tantan Zhu¹, Da Huang^2,3,*, Jianxun Chen¹, Yanbin Luo¹, Longfei Xu¹
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 79-97, 2021, DOI:10.32604/cmes.2021.014808
Abstract Excavation and earth surface processes (e.g., river incision) always induce the unloading of stress, which can cause the failure of rocks. To study the shear mechanical behavior of a rock sample under unloading normal stress conditions, a new stress path for direct shear tests was proposed to model the unloading of stress caused by excavation and other processes. The effects of the initial stresses (i.e., the normal stress and shear stress before unloading) on the shear behavior and energy conversion were investigated using laboratory tests and numerical simulations. The shear strength of a rock under constant stress or under unloading… More
Views:284 Downloads:136 Download PDF

OPEN ACCESS
ARTICLE
Eliciting Requirements from Stakeholders’ Responses Using Natural Language Processing
Mohammed Lafi^1,*, Bilal Hawashin², Shadi AlZu’ bi³
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 99-116, 2021, DOI:10.32604/cmes.2021.013026
Abstract Most software systems have different stakeholders with a variety of concerns. The process of collecting requirements from a large number of stakeholders is vital but challenging. We propose an efficient, automatic approach to collecting requirements from different stakeholders’ responses to a specific question. We use natural language processing techniques to get the stakeholder response that represents most other stakeholders’ responses. This study improves existing practices in three ways: Firstly, it reduces the human effort needed to collect the requirements; secondly, it reduces the time required to carry out this task with a large number of stakeholders; thirdly, it underlines the… More
Views:246 Downloads:105 Download PDF

OPEN ACCESS
ARTICLE
A Three-Stage Cutting Simulation System Based on Mass-Spring Model
Xiaorui Zhang^1,2,*, Jiali Duan¹, Wei Sun², Tong Xu¹, Sunil Kumar Jha³
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 117-133, 2021, DOI:10.32604/cmes.2021.012034
Abstract The cutting simulation of soft tissue is important in virtual surgery. It includes three major challenges in computation: Soft tissue simulation, collision detection, and handling, as well as soft tissue models. In order to address the earlier challenges, we propose a virtual cutting system based on the mass-spring model. In this system, MSM is utilized to simulate the soft tissue model. Residual stress is introduced to the model for simulating the shrinking effect of soft tissue in cutting. Second, a cylinder-based collision detection method is used to supervise the collision between surgical tools and soft tissue. Third, we simulate the… More
Views:250 Downloads:123 Download PDF

OPEN ACCESS
ARTICLE
A Numerical Investigation of the Stress Relief Zones Around a Longwall Face in the Lower Seam for Gas Drainage Considerations
Chunlei Zhang^1,2,3,*, Y. P. Chugh², Ruimin Feng⁴, Yong Zhang⁵, Wei Shen¹, Jingke Wu¹, Yushun Yang¹
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 135-157, 2021, DOI:10.32604/cmes.2021.014665
Abstract Extraction of a protective coal seam (PVCS)-below or above a coal seam to be mined with the potential of coal and gas outburst risk-plays an important role not only in decreasing the stress field in the surrounding rock mass but also in increasing the gas desorption capacity and gas flow permeability in the protected coal seam (PTCS). The PVCS is mined to guarantee the safe mining of the PTCS. This study has numerically evaluated the stress redistribution effects using FLAC3D model for a longwall face in Shanxi Province. The effects of mining depth, mining height and inter-burden rock mass properties… More
Views:222 Downloads:129 Download PDF

OPEN ACCESS
ARTICLE
Bioprosthetic Valve Size Selection to Optimize Aortic Valve Replacement Surgical Outcome: A Fluid-Structure Interaction Modeling Study
Caili Li¹, Dalin Tang^2,*,3, Jing Yao^4,*, Christopher Baird⁵, Haoliang Sun⁶, Chanjuan Gong⁷, Luyao Ma⁶, Yanjuan Zhang⁴, Liang Wang², Han Yu², Chun Yang⁸, Yongfeng Shao⁶
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 159-174, 2021, DOI:10.32604/cmes.2021.014580
（This article belongs to this Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
Abstract Aortic valve replacement (AVR) remains a major treatment option for patients with severe aortic valve disease. Clinical outcome of AVR is strongly dependent on implanted prosthetic valve size. Fluid-structure interaction (FSI) aortic root models were constructed to investigate the effect of valve size on hemodynamics of the implanted bioprosthetic valve and optimize the outcome of AVR surgery. FSI models with 4 sizes of bioprosthetic valves (19 (No. 19), 21 (No. 21), 23 (No. 23) and 25 mm (No. 25)) were constructed. Left ventricle outflow track flow data from one patient was collected and used as model flow conditions. Anisotropic Mooney–Rivlin… More
Views:389 Downloads:189 Download PDF

OPEN ACCESS
ARTICLE
Stereo Matching Method Based on Space-Aware Network Model
Jilong Bian^1,*, Jinfeng Li²
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 175-189, 2021, DOI:10.32604/cmes.2021.014635
（This article belongs to this Special Issue: Blockchain Security)
Abstract The stereo matching method based on a space-aware network is proposed, which divides the network into three sections: Basic layer, scale layer, and decision layer. This division is beneficial to integrate residue network and dense network into the space-aware network model. The vertical splitting method for computing matching cost by using the space-aware network is proposed for solving the limitation of GPU RAM. Moreover, a hybrid loss is brought forward to boost the performance of the proposed deep network. In the proposed stereo matching method, the space-aware network is used to calculate the matching cost and then cross-based cost aggregation… More
Views:125 Downloads:83 Download PDF

OPEN ACCESS
ARTICLE
Debonding Failure in FRP Reinforced SHCC Beams Induced from Multiple Flexural-Shear Cracks under Three-Point Bending Test
Jihong Hu, Mingqing Sun^*, Wei Huang, Yingjun Wang
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 191-207, 2021, DOI:10.32604/cmes.2021.015365
（This article belongs to this Special Issue: Mechanics of Composite Materials and Structures)
Abstract Strain hardening cement-based composites (SHCC) beam externally bonded with glass fiber-reinforced polymer (FRP) plate was examined under three-point flexural test. The effects of the type of substrate used (plain cement mortar vs. SHCC), the use or not of a FRP plate to strengthen the SHCC beam, and the thickness of the FRP plate on the flexural performances were studied. Results show that the ultimate load of SHCC beams strengthened with FRP plate has improved greatly in comparison with plain SHCC beams. The deformation capacity of beams makes little change with an increase in the thickness of FRP plates. The formation… More
Views:114 Downloads:101 Download PDF

OPEN ACCESS
ARTICLE
In-Plane Impact Dynamics Analysis of Re-Entrant Honeycomb with Variable Cross-Section
Yuanxun Ou^1,2, Shilin Yan^1,2, Pin Wen^1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 209-222, 2021, DOI:10.32604/cmes.2021.014828
（This article belongs to this Special Issue: Modeling of Heterogeneous Materials)
Abstract Due to the unique deformation characteristics of auxetic materials (Poisson’s ratio ), they have better shock resistance and energy absorption properties than traditional materials. Inspired by the concept of variable cross-section design, a new auxetic re-entrant honeycomb structure is designed in this study. The detailed design method of re-entrant honeycomb with variable cross-section (VCRH) is provided, and five VCRH structures with the same relative density and different cross-section change rates are proposed. The in-plane impact resistance and energy absorption abilities of VCRH under constant velocity are investigated by ABAQUS/EXPLICIT. The results show that the introduction of variable cross-section design can… More
Views:113 Downloads:81 Download PDF

OPEN ACCESS
ARTICLE
Numerical Analysis of Three-Layer Deep Tunnel Composite Structure
Weiwei Sun¹, Hongping Min², Jianzhong Chen^1,*, Chao Ruan², Yanjun Zhang², Lei Wang³
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 223-239, 2021, DOI:10.32604/cmes.2021.015208
（This article belongs to this Special Issue: Modeling of Heterogeneous Materials)
Abstract To date, with the increasing attention of countries to urban drainage system, more and more regions around the world have begun to build water conveyance tunnels, sewage pressure deep tunnels and so on. However, the sufficient bearing capacity and corrosion resistance of the structure, which can ensure the actual service life and safety of the tunnel, remain to be further improved. Glass Fiber Reinforced Plastics (GFRP) pipe, with light weight, high strength and corrosion resistance, has the potential to be applied to the deep tunnel structure. This paper proposed a new composite structure of deep tunnel lined with GFRP pipe,… More
Views:111 Downloads:108 Download PDF

OPEN ACCESS
ARTICLE
Peridynamic Modeling and Simulation of Fracture Process in Fiber-Reinforced Concrete
Zhuang Chen¹, Xihua Chu^1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 241-272, 2021, DOI:10.32604/cmes.2021.015120
（This article belongs to this Special Issue: Modeling of Heterogeneous Materials)
Abstract In this study, a peridynamic fiber-reinforced concrete model is developed based on the bond-based peridynamic model with rotation effect (BBPDR). The fibers are modelled by a semi-discrete method and distributed with random locations and angles in the concrete specimen, since the fiber content is low, and its scale is smaller than the concrete matrix. The interactions between fibers and concrete matrix are investigated by the improvement of the bond’s strength and stiffness. Also, the frictional effect between the fibers and the concrete matrix is considered, which is divided into static friction and slip friction. To validate the proposed model, several… More
Views:124 Downloads:115 Download PDF

OPEN ACCESS
ARTICLE
Behavior of High Strength Concrete Filled Square Steel Tube Stub Columns with Inner CFRP Tube Under Biaxial Eccentric Compression
Zhijian Yang¹, Guochang Li^1,*, Yan Lang², Zengmei Qiu¹
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 273-290, 2021, DOI:10.32604/cmes.2021.014606
（This article belongs to this Special Issue: Modeling of Heterogeneous Materials)
Abstract This paper studies the contribution of CFRP (carbon fiber-reinforced polymer) to the mechanical behavior of high strength concrete-filled square steel tube (HCFST) under biaxial eccentric compression. The new type of composite member is composed of an inner CFRP tube and an outer steel tube with concrete filled in the two tubes. The finite element analysis was made by ABAQUS on the behavior of high strength concrete filled square steel tubular columns with inner CFRP circular tube subjected to bi-axial eccentric loading. The results obtained from the finite element analysis were verified with the experimental results. In addition, the load-deflection curves… More
Views:87 Downloads:69 Download PDF

OPEN ACCESS
ARTICLE
Dynamic Pricing Model of E-Commerce Platforms Based on Deep Reinforcement Learning
Chunli Yin^1,*, Jinglong Han²
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 291-307, 2021, DOI:10.32604/cmes.2021.014347
（This article belongs to this Special Issue: Innovation and Application of Intelligent Processing of Data, Information and Knowledge in E-Commerce)
Abstract With the continuous development of artificial intelligence technology, its application field has gradually expanded. To further apply the deep reinforcement learning technology to the field of dynamic pricing, we build an intelligent dynamic pricing system, introduce the reinforcement learning technology related to dynamic pricing, and introduce existing research on the number of suppliers (single supplier and multiple suppliers), environmental models, and selection algorithms. A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions. The first step is to analyze the pricing strategies of e-commerce… More
Views:109 Downloads:68 Download PDF

OPEN ACCESS
ARTICLE
Number Entities Recognition in Multiple Rounds of Dialogue Systems
Shan Zhang¹, Bin Cao¹, Yueshen Xu^2,*, Jing Fan¹
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 309-323, 2021, DOI:10.32604/cmes.2021.014802
（This article belongs to this Special Issue: Innovation and Application of Intelligent Processing of Data, Information and Knowledge in E-Commerce)
Abstract As a representative technique in natural language processing (NLP), named entity recognition is used in many tasks, such as dialogue systems, machine translation and information extraction. In dialogue systems, there is a common case for named entity recognition, where a lot of entities are composed of numbers, and are segmented to be located in different places. For example, in multiple rounds of dialogue systems, a phone number is likely to be divided into several parts, because the phone number is usually long and is emphasized. In this paper, the entity consisting of numbers is named as number entity. The discontinuous… More
Views:110 Downloads:89 Download PDF

OPEN ACCESS
ARTICLE
Alcoholism Detection by Wavelet Energy Entropy and Linear Regression Classifier
Xianqing Chen^1,2, Yan Yan^3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 325-343, 2021, DOI:10.32604/cmes.2021.014489
（This article belongs to this Special Issue: Recent Advances on Deep Learning for Medical Signal Analysis (RADLMSA))
Abstract Alcoholism is an unhealthy lifestyle associated with alcohol dependence. Not only does drinking for a long time leads to poor mental health and loss of self-control, but alcohol seeps into the bloodstream and shortens the lifespan of the body’s internal organs. Alcoholics often think of alcohol as an everyday drink and see it as a way to reduce stress in their lives because they cannot see the damage in their bodies and they believe it does not affect their physical health. As their drinking increases, they become dependent on alcohol and it affects their daily lives. Therefore, it is important… More
Views:101 Downloads:73 Download PDF

OPEN ACCESS
ARTICLE
Maximum Probabilistic and Dynamic Traffic Load Effects on Short-to-Medium Span Bridges
Naiwei Lu^1,*, Honghao Wang¹, Kai Wang¹, Yang Liu²
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 345-360, 2021, DOI:10.32604/cmes.2021.013792
（This article belongs to this Special Issue: Soft Computing Techniques in Materials Science and Engineering)
Abstract The steadily growing traffic load has resulted in lots of bridge collapse events over the past decades, especially for short-to-medium span bridges. This study investigated probabilistic and dynamic traffic load effects on short-to-medium span bridges using practical heavy traffic data in China. Mathematical formulations for traffic-bridge coupled vibration and probabilistic extrapolation were derived. A framework for extrapolating probabilistic and dynamic traffic load effect was presented to conduct an efficient and accurate extrapolation. An equivalent dynamic wheel load model was demonstrated to be feasible for short-to-medium span bridges. Numerical studies of two types of simply-supported bridges were conducted based on site-specific… More
Views:91 Downloads:75 Download PDF

OPEN ACCESS
ARTICLE
Redefined Extended Cubic B-Spline Functions for Numerical Solution of Time-Fractional Telegraph Equation
Muhammad Amin¹, Muhammad Abbas^2,*, Dumitru Baleanu^3,4,5, Muhammad Kashif Iqbal⁶, Muhammad Bilal Riaz⁷
CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 361-384, 2021, DOI:10.32604/cmes.2021.012720
（This article belongs to this Special Issue: Modeling Real World Problems with Mathematics)
Abstract This work is concerned with the application of a redefined set of extended uniform cubic B-spline (RECBS) functions for the numerical treatment of time-fractional Telegraph equation. The presented technique engages finite difference formulation for discretizing the Caputo time-fractional derivatives and RECBS functions to interpolate the solution curve along the spatial grid. Stability analysis of the scheme is provided to ensure that the errors do not amplify during the execution of the numerical procedure. The derivation of uniform convergence has also been presented. Some computational experiments are executed to verify the theoretical considerations. Numerical results are compared with the existing schemes… More
Views:97 Downloads:75 Download PDF

OPEN ACCESS
ARTICLE
Validating the Correct Wearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19
Karim Hammoudi^1,2,*, Adnane Cabani³, Halim Benhabiles⁴, Mahmoud Melkemi^1,2
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1049-1059, 2020, DOI:10.32604/cmes.2020.011663
（This article belongs to this Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)
Abstract In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019–2020 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. The symptom of COVID-19 was reported first in China and very quickly spreads to the rest of the world. The COVID-19 contagiousness is known to be high by comparison with the flu. In this paper, we propose a design of a mobile application for permitting everyone having a smartphone and… More
Views:15402 Downloads:4903 Download PDF

OPEN ACCESS
REVIEW
Review on Application of Artificial Intelligence in Civil Engineering
Youqin Huang¹, Jiayong Li¹, Jiyang Fu^1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 845-875, 2019, DOI:10.32604/cmes.2019.07653
Abstract In last few years, big data and deep learning technologies have been successfully applied in various fields of civil engineering with the great progress of machine learning techniques. However, until now, there has been no comprehensive review on its applications in civil engineering. To fill this gap, this paper reviews the application and development of artificial intelligence in civil engineering in recent years, including intelligent algorithms, big data and deep learning. Through the work of this paper, the research direction and difficulties of artificial intelligence in civil engineering for the past few years can be known. It is shown that… More
Views:5551 Downloads:4734 Download PDF

OPEN ACCESS
ARTICLE
ALCencryption: A Secure and Efficient Algorithm for Medical Image Encryption
Jiao Ge^1,2,*
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
Views:4382 Downloads:605 Download PDF

OPEN ACCESS
ARTICLE
Data Augmentation Technology Driven By Image Style Transfer in Self-Driving Car Based on End-to-End Learning
Dongjie Liu¹, Jin Zhao^{1, *}, Axin Xi², Chao Wang¹, Xinnian Huang¹, Kuncheng Lai¹, Chang Liu¹
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 593-617, 2020, DOI:10.32604/cmes.2020.08641
Abstract With the advent of deep learning, self-driving schemes based on deep learning are becoming more and more popular. Robust perception-action models should learn from data with different scenarios and real behaviors, while current end-to-end model learning is generally limited to training of massive data, innovation of deep network architecture, and learning in-situ model in a simulation environment. Therefore, we introduce a new image style transfer method into data augmentation, and improve the diversity of limited data by changing the texture, contrast ratio and color of the image, and then it is extended to the scenarios that the model has been… More
Views:4375 Downloads:1571 Download PDF

OPEN ACCESS
ARTICLE
Conceptual Modular Design of Auto Body Frame Based on Hybrid Optimization Method
Yonghong Zhao¹, Changsheng Wang², Huanquan Yuan¹, Yongcheng Li¹, Chunlai Shan², Wenbin Hou^{2, *}
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 351-376, 2020, DOI:10.32604/cmes.2020.08058
Abstract This article presents a systematic research methodology of modular design for conceptual auto body frame by hybrid optimization method. A modified graph-based decomposition optimization algorithm is utilized to generate an optimal BIW assembly topo model composed of “potential modules”. The consistency constraint function in collaborative optimization is extended to maximize the commonality of modules and minimize the performance loss of all car types in the same product family simultaneously. A novel screening method is employed to select both “basic structures” and “reinforcement” modules based on the dimension optimization of the manufacturing elements and the optimal assembly mode; this allows for… More
Views:4314 Downloads:1905 Download PDF

OPEN ACCESS
ARTICLE
Feature Selection with a Local Search Strategy Based on the Forest Optimization Algorithm
Tinghuai Ma^1,*, Honghao Zhou¹, Dongdong Jia¹, Abdullah Al-Dhelaan², Mohammed Al-Dhelaan², Yuan Tian³
CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.2, pp. 569-592, 2019, DOI:10.32604/cmes.2019.07758
Abstract Feature selection has been widely used in data mining and machine learning. Its objective is to select a minimal subset of features according to some reasonable criteria so as to solve the original task more quickly. In this article, a feature selection algorithm with local search strategy based on the forest optimization algorithm, namely FSLSFOA, is proposed. The novel local search strategy in local seeding process guarantees the quality of the feature subset in the forest. Next, the fitness function is improved, which not only considers the classification accuracy, but also considers the size of the feature subset. To avoid… More
Views:4242 Downloads:1146 Download PDF