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Quick Weighing of Passing Vehicles Using the Transfer-Learning-Enhanced Convolutional Neural Network 基于迁移学习增强卷积神经网络的过路车辆快速称重
4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2023-01-01 DOI: 10.32604/cmes.2023.044709
Wangchen Yan, Jinbao Yang, Xin Luo
Transfer learning could reduce the time and resources required for the training of new models and be therefore important in generalized applications of the trained machine learning algorithms. In this study, a transfer learning-enhanced convolutional neural network (CNN) was proposed to identify the gross weight and the axle weight of moving vehicles on the bridge. The proposed transfer learning-enhanced CNN model was expected to weigh different bridges based on a small amount of training datasets and provide high identification accuracy. First of all, a CNN algorithm for bridge weigh-in-motion (B-WIM) technology was proposed to identify the axle weight and the gross weight of the typical two-axle, three-axle, and five-axle vehicles as they crossed the bridge with different loading routes and speeds. Then, the pre-trained CNN model was transferred by fine-tuning to weigh the moving vehicles on another bridge. Finally, the identification accuracy and the amount of training data required were compared between the two CNN models. Results showed that the pre-trained CNN model using transfer learning for B-WIM technology could be successfully used for the identification of the axle weight and the gross weight for moving vehicles on another bridge while reducing the training data by 63%. Moreover, the recognition accuracy of the pre-trained CNN model using transfer learning was comparable to that of the original model, showing its promising potentials in the actual applications.
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引用次数: 0
Influence of Soil Heterogeneity on the Behavior of Frozen Soil Slope under Freeze-Thaw Cycles 冻融循环作用下土壤非均质性对冻土边坡行为的影响
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018134
K. Liu, Yanqiao Wang
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引用次数: 0
Fault Analysis of Wind Power Rolling Bearing Based on EMD Feature Extraction 基于EMD特征提取的风电滚动轴承故障分析
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018123
Debiao Meng, Hongtao Wang, S. Yang, Zhiyuan Lv, Z. Hu, Zihao Wang
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引用次数: 42
Image Translation Method for Game Character Sprite Drawing 游戏角色精灵绘制的图像翻译方法
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018201
Jong-In Choi, Sookyun Kim, Shinjin Kang
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引用次数: 0
Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images 医学图像安全传输的低失真可逆水印方法
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.017650
Rizwan Taj, Feng Tao, S. Khurram, Ateeq ur Rehman, Syed Kamran Haider, Akber Abid Gardezi, S. Kanwal
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引用次数: 0
A New Attempt to Neutrosophic Soft Bi-Topological Spaces 中性软双拓扑空间的新尝试
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018518
Arif Mehmood, M. Aslam, Muhammad Imran Khan, Humera Qureshi, Choonkill Park, Jung Rye Lee
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引用次数: 1
An Experimental and Numerical Study on the Ballistic Performance of Multi-Layered Moderately-Thick Metallic Targets against 12.7-mm Projectiles 多层中厚金属靶对12.7 mm弹丸弹道性能的实验与数值研究
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.019188
Kailei Wang, Mingjing Li, P. Yan, Leiting Dong
{"title":"An Experimental and Numerical Study on the Ballistic Performance of Multi-Layered Moderately-Thick Metallic Targets against 12.7-mm Projectiles","authors":"Kailei Wang, Mingjing Li, P. Yan, Leiting Dong","doi":"10.32604/cmes.2022.019188","DOIUrl":"https://doi.org/10.32604/cmes.2022.019188","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"33 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84506062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic-Response Analysis of the Branch System of a Utility Tunnel Subjected to Near-Fault and Far-Field Ground Motions in Different Input Mechanisms 不同输入机制下公用隧道分支系统近断层和远场地震动的动力响应分析
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.018113
Yuhang Jin, E. Guo, Houli Wu, P. Yan
{"title":"Dynamic-Response Analysis of the Branch System of a Utility Tunnel Subjected to Near-Fault and Far-Field Ground Motions in Different Input Mechanisms","authors":"Yuhang Jin, E. Guo, Houli Wu, P. Yan","doi":"10.32604/cmes.2022.018113","DOIUrl":"https://doi.org/10.32604/cmes.2022.018113","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"29 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81979084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Analysis of Water Pollution Causes and Control Countermeasures in Liaohe Estuary via Support Vector Machine Particle Swarm Optimization under Deep Learning 基于深度学习的支持向量机粒子群优化辽河河口水污染成因分析及治理对策
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.016224
Guize Liu, Jinqing Ye, Yuan Chen, Xiaolong Yang, Yanbin Gu
{"title":"Analysis of Water Pollution Causes and Control Countermeasures in Liaohe Estuary via Support Vector Machine Particle Swarm Optimization under Deep Learning","authors":"Guize Liu, Jinqing Ye, Yuan Chen, Xiaolong Yang, Yanbin Gu","doi":"10.32604/cmes.2022.016224","DOIUrl":"https://doi.org/10.32604/cmes.2022.016224","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"48 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72876290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Melting Characteristics of a Phase Change Material Mixed with Nano Particles of Cobalt Oxide Bounded in a Trapezoidal Structure 混合纳米氧化钴的相变材料的熔融特性
IF 2.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-01-01 DOI: 10.32604/cmes.2022.017313
Waris Ali, Asif Ali Shaikh, F. Shah, S. Hussain
{"title":"Melting Characteristics of a Phase Change Material Mixed with Nano Particles of Cobalt Oxide Bounded in a Trapezoidal Structure","authors":"Waris Ali, Asif Ali Shaikh, F. Shah, S. Hussain","doi":"10.32604/cmes.2022.017313","DOIUrl":"https://doi.org/10.32604/cmes.2022.017313","url":null,"abstract":"","PeriodicalId":10451,"journal":{"name":"Cmes-computer Modeling in Engineering & Sciences","volume":"1 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83003608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Cmes-computer Modeling in Engineering & Sciences
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