International Journal of Robotics & Automation最新文献

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LINE SHAPE MONITORING OF LONGSPAN CONCRETE-FILLED STEEL TUBE ARCHES BASED ON THREE-DIMENSIONAL LASER SCANNING 基于三维激光扫描的大跨度钢管混凝土拱线形监测
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0541
M. Sun, Anqi Xu, Jian Liu
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引用次数: 1
STATIC MECHANICAL PROPERTIES EVOLUTION ANALYSIS OF A LONG-SPAN TRACK CABLE-STAYED BRIDGE 某大跨度轨道斜拉桥静力性能演化分析
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0534
Liao Xiaogang, Dingmao Peng, Chen Xiaohu, L. Xia, Tan Shulin
{"title":"STATIC MECHANICAL PROPERTIES EVOLUTION ANALYSIS OF A LONG-SPAN TRACK CABLE-STAYED BRIDGE","authors":"Liao Xiaogang, Dingmao Peng, Chen Xiaohu, L. Xia, Tan Shulin","doi":"10.2316/J.2021.206-0534","DOIUrl":"https://doi.org/10.2316/J.2021.206-0534","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"50 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88316027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A PROPRIETARILY DEVELOPED BIONIC OLFACTORY SYSTEM USED FOR RAPID DETECTION OF DETERIORATED REFRIGERATED-STORED APPLES 一种自主研发的用于快速检测变质冷藏苹果的仿生嗅觉系统
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0616
Hui Tian, Wenshen Jia, Jie Ma, Jihua Wang, J. Hao
{"title":"A PROPRIETARILY DEVELOPED BIONIC OLFACTORY SYSTEM USED FOR RAPID DETECTION OF DETERIORATED REFRIGERATED-STORED APPLES","authors":"Hui Tian, Wenshen Jia, Jie Ma, Jihua Wang, J. Hao","doi":"10.2316/J.2021.206-0616","DOIUrl":"https://doi.org/10.2316/J.2021.206-0616","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"98 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81619504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
VIBRATION-BASED DAMAGE IDENTIFICATION OF REINFORCED CONCRETE ARCH BRIDGES USING KALMAN–ARMA–GARCH MODEL 基于kalman - arma - arch模型的钢筋混凝土拱桥振动损伤识别
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/j.2021.206-0705
Shuchang Zhou, Yan Jiang, Xiaoqing Li, Qingliang Wu
{"title":"VIBRATION-BASED DAMAGE IDENTIFICATION OF REINFORCED CONCRETE ARCH BRIDGES USING KALMAN–ARMA–GARCH MODEL","authors":"Shuchang Zhou, Yan Jiang, Xiaoqing Li, Qingliang Wu","doi":"10.2316/j.2021.206-0705","DOIUrl":"https://doi.org/10.2316/j.2021.206-0705","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68649096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
VEGETATION CLASSIFICATION BY MULTI-SCALE HIERARCHICAL SEGMENTATION ON GF-2 REMOTE SENSING IMAGE 基于gf-2遥感影像的多尺度分层分割植被分类
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0617
Yang Wugu, T. Weixin, M. Lei
{"title":"VEGETATION CLASSIFICATION BY MULTI-SCALE HIERARCHICAL SEGMENTATION ON GF-2 REMOTE SENSING IMAGE","authors":"Yang Wugu, T. Weixin, M. Lei","doi":"10.2316/J.2021.206-0617","DOIUrl":"https://doi.org/10.2316/J.2021.206-0617","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"8 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73259407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
SAFETY ANALYSIS OF HOLLOW PLATE GIRDER BRIDGE BASED ON ROUTINE DETECTION INDEXES 基于常规检测指标的空心板梁桥安全性分析
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0532
Yingxin Zhou, Zhouxiang Chen, Z. Qian, J. Hou, Dejun Hu
{"title":"SAFETY ANALYSIS OF HOLLOW PLATE GIRDER BRIDGE BASED ON ROUTINE DETECTION INDEXES","authors":"Yingxin Zhou, Zhouxiang Chen, Z. Qian, J. Hou, Dejun Hu","doi":"10.2316/J.2021.206-0532","DOIUrl":"https://doi.org/10.2316/J.2021.206-0532","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"29 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81778069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GUEST EDITORIAL: ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL AUTOMATION SYSTEMS 嘉宾评论:环境自动化系统中的人工智能
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0620
Dong Ren, Bin Li
{"title":"GUEST EDITORIAL: ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL AUTOMATION SYSTEMS","authors":"Dong Ren, Bin Li","doi":"10.2316/J.2021.206-0620","DOIUrl":"https://doi.org/10.2316/J.2021.206-0620","url":null,"abstract":"intelligence an important role in the automation field, which can to intelligent decision-making of human beings. AI has wide from researchers and has been applied to almost all aspects of human life. A series of algorithms and models of AI have been used to promote the innovation of product/service in the field of environmental automation systems. On the other hand, in the field of environment and geology, remote sensing data and internet of things (IoT) sensing data are typically used for research and analysis. By combining big data with AI algorithms, issues such as environment change, ecological status as-sessment, geological disaster prediction, and data mining can be done to assist decision-making and other work. The purpose of this special issue is to explore the current research direction of AI applied to environmental automation systems, including environment change monitoring, ecological status assessment, geological disaster prediction, and data mining. In this issue, seven papers regarding AI in environmental automation systems are selected by peer view. These papers present several theoret-ical and practical problems related to AI in environmental automation systems, as well as the analysis, new discov-eries, and innovative ideas and improvements made in the field of AI in environmental automation systems. Subjects of the seven papers include: AI models for ecology or geology (environment and hazardous), machine learning models for ecology or geology, expert systems for ecology or geology, deep learning for ecology or geology, intelligence image processing algorithms for ecology or geology, big data analytics for data processing from ecology or geology, applications of AI in ecology or geology, data fusion for change detection, geological disaster prediction, and forest deforestation monitoring.","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68649073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DESIGN OPTIMIZATION OF STEEL TUBEWALL THICKNESS OF CONCRETE-FILLED STEEL TUBULAR ARCH BRIDGE 钢管混凝土拱桥钢管壁厚度设计优化
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0539
Lan Zhang, Y. Xie
{"title":"DESIGN OPTIMIZATION OF STEEL TUBEWALL THICKNESS OF CONCRETE-FILLED STEEL TUBULAR ARCH BRIDGE","authors":"Lan Zhang, Y. Xie","doi":"10.2316/J.2021.206-0539","DOIUrl":"https://doi.org/10.2316/J.2021.206-0539","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"553 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77748593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
SLIDING MODE VARIABLE STRUCTURE OBSERVER-BASED SENSOR AND ACTUATOR FAULT RECONSTRUCTION FOR NONLINEAR SYSTEM 基于滑模变结构观测器的非线性系统传感器和执行器故障重构
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0629
Jing He, Changfan Zhang, Houguang Chu
{"title":"SLIDING MODE VARIABLE STRUCTURE OBSERVER-BASED SENSOR AND ACTUATOR FAULT RECONSTRUCTION FOR NONLINEAR SYSTEM","authors":"Jing He, Changfan Zhang, Houguang Chu","doi":"10.2316/J.2021.206-0629","DOIUrl":"https://doi.org/10.2316/J.2021.206-0629","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"20 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73971802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
RESEARCH ON STRESS MONITORING OF CRACKED STEEL BOX GIRDER BASED ON SELF-MAGNETIC FLUX LEAKAGE 基于自漏磁的裂纹钢箱梁应力监测研究
IF 0.9 4区 计算机科学
International Journal of Robotics & Automation Pub Date : 2021-01-01 DOI: 10.2316/J.2021.206-0535
Huixiang Ma, Shan-zhong Liu, T. Tang, Runchuan Xia
{"title":"RESEARCH ON STRESS MONITORING OF CRACKED STEEL BOX GIRDER BASED ON SELF-MAGNETIC FLUX LEAKAGE","authors":"Huixiang Ma, Shan-zhong Liu, T. Tang, Runchuan Xia","doi":"10.2316/J.2021.206-0535","DOIUrl":"https://doi.org/10.2316/J.2021.206-0535","url":null,"abstract":"","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"120 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89425743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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