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International Conference on Smart Infrastructure and Construction 2019 (ICSIC)最新文献

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The Importance of Analysing Data from Instrumented Infrastructure 分析仪器化基础设施数据的重要性
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.381
F. D. Lau, N. Adams
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引用次数: 0
Occupant-Building Interaction (OBI) Model for University Buildings 大学建筑的居住者-建筑互动(OBI)模型
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.631
P. Dongre, N. Roofigari-Esfahan
{"title":"Occupant-Building Interaction (OBI) Model for University Buildings","authors":"P. Dongre, N. Roofigari-Esfahan","doi":"10.1680/ICSIC.64669.631","DOIUrl":"https://doi.org/10.1680/ICSIC.64669.631","url":null,"abstract":"","PeriodicalId":205150,"journal":{"name":"International Conference on Smart Infrastructure and Construction 2019 (ICSIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122062476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Convolutional Neural Network Approach to the Semi-Supervised Acoustic Monitoring of Industrial Facilities 基于卷积神经网络的工业设施半监督声监测
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.351
J. Bynum, G. Earle, D. Lattanzi
{"title":"A Convolutional Neural Network Approach to the Semi-Supervised Acoustic Monitoring of Industrial Facilities","authors":"J. Bynum, G. Earle, D. Lattanzi","doi":"10.1680/ICSIC.64669.351","DOIUrl":"https://doi.org/10.1680/ICSIC.64669.351","url":null,"abstract":"","PeriodicalId":205150,"journal":{"name":"International Conference on Smart Infrastructure and Construction 2019 (ICSIC)","volume":"349 8‐9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113956013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Automatic Pavement Crack Detection Based on Image Recognition 基于图像识别的路面裂缝自动检测
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.361
C. Chen, H. Seo, Y. Zhao, B. Chen, J. W. Kim, Y. Choi, M. Bang
{"title":"Automatic Pavement Crack Detection Based on Image Recognition","authors":"C. Chen, H. Seo, Y. Zhao, B. Chen, J. W. Kim, Y. Choi, M. Bang","doi":"10.1680/ICSIC.64669.361","DOIUrl":"https://doi.org/10.1680/ICSIC.64669.361","url":null,"abstract":"","PeriodicalId":205150,"journal":{"name":"International Conference on Smart Infrastructure and Construction 2019 (ICSIC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131912091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
Unsupervised Deep Learning for Instrumented Infrastructure: A Case Study 仪器化基础设施的无监督深度学习:案例研究
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.395
A. Mikhailova, N. Adams, C. A. Hallsworth, F. D. Lau, D. N. Jones
{"title":"Unsupervised Deep Learning for Instrumented Infrastructure: A Case Study","authors":"A. Mikhailova, N. Adams, C. A. Hallsworth, F. D. Lau, D. N. Jones","doi":"10.1680/ICSIC.64669.395","DOIUrl":"https://doi.org/10.1680/ICSIC.64669.395","url":null,"abstract":"","PeriodicalId":205150,"journal":{"name":"International Conference on Smart Infrastructure and Construction 2019 (ICSIC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132169642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Acoustic Emission Sensing of Pipe-Soil Interaction: Development of an Early Warning System for Buried Pipe Deformation 管道-土壤相互作用声发射传感:埋地管道变形预警系统的开发
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.463
Alister Smith, I. Moore, N. Dixon
{"title":"Acoustic Emission Sensing of Pipe-Soil Interaction: Development of an Early Warning System for Buried Pipe Deformation","authors":"Alister Smith, I. Moore, N. Dixon","doi":"10.1680/ICSIC.64669.463","DOIUrl":"https://doi.org/10.1680/ICSIC.64669.463","url":null,"abstract":"This paper describes a programme of research that aims to develop a continuous, real-time acoustic emission (AE) monitoring system that can be distributed at discrete locations along buried pipelines to sense pipe/soil interaction and provide early warning of adverse behaviour to enable targeted and timely interventions. Pipe/soil interaction-generated AE propagates as guided waves along pipelines. Novel AE interpretation is allowing the evolution of the pipe/soil interaction behaviour to be characterised, and the rate and magnitude of deformation to be quantified. New understanding of AE propagation and attenuation in buried pipes is enabling source localisation methodologies to be developed. Results from normal faulting experiments performed on buried full-scale steel pipes at the buried infrastructure research facility at Queen’s University, Canada, are presented to demonstrate the potential of the AE technique for early detection of buried pipe deformation.","PeriodicalId":205150,"journal":{"name":"International Conference on Smart Infrastructure and Construction 2019 (ICSIC)","volume":"508 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131777984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Feasibility Of Wearable-Based Collective Sensing To Detect Environmental Barriers For Facilitating The Elderly’s Mobility 基于可穿戴的集体传感技术检测环境障碍的可行性，以方便老年人的行动
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.143
Gaang Lee, Byoung Whui Choi, C. Ahn, Sanghyun Lee
{"title":"Feasibility Of Wearable-Based Collective Sensing To Detect Environmental Barriers For Facilitating The Elderly’s Mobility","authors":"Gaang Lee, Byoung Whui Choi, C. Ahn, Sanghyun Lee","doi":"10.1680/ICSIC.64669.143","DOIUrl":"https://doi.org/10.1680/ICSIC.64669.143","url":null,"abstract":"","PeriodicalId":205150,"journal":{"name":"International Conference on Smart Infrastructure and Construction 2019 (ICSIC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114472900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Structural Assessment for an old Steel Railway Bridge Under Static and Dynamic Loads Using Fibre Optic Sensors 基于光纤传感器的老铁路桥静、动荷载结构评估
International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Pub Date : 1900-01-01 DOI: 10.1680/ICSIC.64669.729
S. C. Lee, B. P. Tee, M. F. Chong, K. K. Mahamud, H. Mohamad
{"title":"Structural Assessment for an old Steel Railway Bridge Under Static and Dynamic Loads Using Fibre Optic Sensors","authors":"S. C. Lee, B. P. Tee, M. F. Chong, K. K. Mahamud, H. Mohamad","doi":"10.1680/ICSIC.64669.729","DOIUrl":"https://doi.org/10.1680/ICSIC.64669.729","url":null,"abstract":"This article presents the structural assessment of an existing old steel railway bridge in Malaysia using fibre optic sensors. The steel bridge was built more than a century ago and the bridge structural drawings and other documentations were lost over the years. Keretapi Tanah Melayu Berhad (KTM), the Malaysian rail operator was upgrading the railway line to cater for heavier and faster locomotives. The bridge is subjected to a potential risk of structural health deterioration or fatigue due to corrosion and long service period in such a high humidity country. Full scale static and dynamic tests using locomotives were carried out to assess the structural integrity of the steel bridge. Two types of optical sensors were used. Discrete and distributed fibre optic sensors were mounted on critical steel panels to monitor the change in strain of these members under dynamic and static loads. The discrete sensor, Fibre Bragg Grating (FBG) strain sensors were able to measure the change in strain at 1000 Hz frequency, and were used during the dynamic test where a locomotive travelled through the bridge at maximum speed of 40 km/hour. Distributed fibre optic (DFOS) sensors were mounted on the bottom chord of the steel truss to measure the maximum tensile strain when the locomotive was placed at the centre of the bridge. The results from the two different fibre optic sensors (FBG and DFOS sensors) were then compared and the results showed good agreement to strain measurements.","PeriodicalId":205150,"journal":{"name":"International Conference on Smart Infrastructure and Construction 2019 (ICSIC)","volume":" 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113951677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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