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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: The digital image correlation (DIC) technology was utilized to collect vibration information of an actualsteel frame, and subsequently, the raw signals, without further pre-processing, were directly utilized

Keywords: structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

A study on fatigue damage of asphalt mixture under different compaction using 3D-microstructural characteristics

Jing HU, Pengfei LIU, Bernhard STEINAUER

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3,   Pages 329-337 doi: 10.1007/s11709-017-0407-9

Abstract: The aggregate particles and air-voids were extracted using Digital Image Processing (DIP), so the relationship

Keywords: asphalt mixture     microstructure     morphology     digital image processing     fatigue damage    

Deformation field and crack analyses of concrete using digital image correlation method

Yijie HUANG, Xujia HE, Qing WANG, Jianzhuang XIAO

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1183-1199 doi: 10.1007/s11709-019-0545-3

Abstract: deformation distribution and crack propagation of concrete under axial compression was conducted by the digitalimage correlation (DIC) method.

Keywords: deformation filed distribution     crack development     digital image correlation method     mechanical properties    

a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge Detection in ImageProcessing

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract: chaos immune evolutionary algorithm (CIEFCM) is presented to solve fuzzy edge detection problems in imageprocessing.

Keywords: disturbance amplitude     disturbance     diversity     generation     processing    

fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysis and digitalimage correlation

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1633-1652 doi: 10.1007/s11709-022-0876-3

Abstract: PP) fiber-reinforced concrete under the uniaxial compressive loading using experimental analysis and digitalimage correlation (DIC) on the surface displacement.

Keywords: fiber-reinforced concrete     forta-ferro and polypropylene fiber     fracture process     cracking behavior     digitalimage correlation    

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 470-487 doi: 10.1007/s11684-020-0782-9

Abstract: deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis tasksIn this paper, we comprehensively summarize recent DL-based image analysis studies in histopathology,

Keywords: pathology     deep learning     segmentation     detection     classification    

Three-dimensional reconstruction of light microscopy image sections: present and future

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Frontiers of Medicine 2015, Volume 9, Issue 1,   Pages 30-45 doi: 10.1007/s11684-014-0337-z

Abstract:

Three-dimensional (3D) image reconstruction technologies can reveal previously hidden microstructures

Keywords: microtomy     3D imaging     computer-assisted image processing     3D printing     tissue scaffold    

polypropylene-reinforced ultra-high-performance concrete through numerical analyses and experimental multi-target digitalimage correlation

Frontiers of Structural and Civil Engineering   Pages 1228-1248 doi: 10.1007/s11709-023-0931-8

Abstract: A method, namely multi-target digital image correlation (MT-DIC) was used to monitor the displacement

Keywords: UHPC     MT-DIC     flexural behavior     tensile behavior     steel fiber     polypropylene fiber    

Recent Advances in Passive Digital Image Security Forensics: A Brief Review Review

Xiang Lin, Jian-Hua Li, Shi-Lin Wang, Alan-Wee-Chung Liew, Feng Cheng, Xiao-Sa Huang

Engineering 2018, Volume 4, Issue 1,   Pages 29-39 doi: 10.1016/j.eng.2018.02.008

Abstract: of a digital image is usually hard to determine visually.In order to detect digital image forgeries, various kinds of digital image forensics techniques haveGenerally speaking, passive digital image forensics detects image forgeries based on the fact that therepatterns in image forgeries left during the image storage or editing.In this paper, a brief review on passive digital image forensic methods is presented in order to provide

Keywords: Digital image forensics     Image-tampering detection     Multimedia security    

Three-scale stochastic homogenization of elastic recycled aggregate concrete based on nano-indentation digital

Chen WANG, Yuching WU, Jianzhuang XIAO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 461-473 doi: 10.1007/s11709-017-0441-7

Abstract: elastic finite element analyses are made for recycled aggregate concrete (RAC) based on nano-indentation digitalmoduli of RAC at three different scales are obtained using moving window technique, nano-indentation digital

Keywords: RAC     nano-indentation digital image     multiscale     microscopic randomness     homogenization    

Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques

Amit SHIULY; Debabrata DUTTA; Achintya MONDAL

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   Pages 347-358 doi: 10.1007/s11709-022-0819-z

Abstract: In the present study, a new image-based machine learning method is used to predict concrete compressivesamples were cut, and several images of the cut surfaces were captured at various zoom levels using a digitalused to train machine learning models to allow them to predict compressive strength based upon the imagemodels as an efficient means of estimating cement mortar and concrete compressive strengths based on digital

Keywords: support vector machine     deep convolutional neural network     microscope     digital image     curing period    

How do digital technologies improve supply chain resilience in the COVID-19 pandemic?

Frontiers of Engineering Management   Pages 39-50 doi: 10.1007/s42524-022-0230-4

Abstract: Digital technologies (DTs) can assist businesses in coping with supply chain (SC) disruptions causedThis study draws on information processing theory to develop a serial mediation model to address thisThe empirical results reveal that digital supply chain platforms (DSCPs), as well as supply chain traceabilityThe findings also offer essential insights for firms to modify their digital strategies and thrive in

Keywords: digital technologies     supply chain resilience     information processing theory     COVID-19     China    

Dynamic modeling and damage analysis of debris cloud fragments produced by hypervelocity impacts via imageprocessing Research Article

Ru ZENG, Yan SONG, Weizhen LV,zengru_neo@163.com,sonya@usst.edu.cn,hala_lwz@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 555-570 doi: 10.1631/FITEE.2100049

Abstract: Based on the extracted information, image matching of debris is conducted and the trajectory of is modeled

Keywords: Debris clouds     Hypervelocity impact     Image processing     Damage estimation    

Automatic image enhancement by learning adaptive patch selection None

Na LI, Jian ZHAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 206-221 doi: 10.1631/FITEE.1700125

Abstract:

Today, digital cameras are widely used in taking photos.Many existing image enhancement algorithms are patch based and the patch size is always fixed throughoutthe image.In this study, we propose an automatic image enhancement method based on adaptive patch selection usingExperimental results demonstrate that our method can provide a significant improvement in existing patch-based image

Keywords: Image enhancement     Contrast enhancement     Dark channel     Bright channel     Adaptive patch based processing    

Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 308-321 doi: 10.1007/s11709-014-0266-6

Abstract: based on these established parameters, 200 coarse quartzite aggregates are analyzed herein by using imageprocessing technology.

Keywords: coarse aggregate     form     angularity     digital image analysis     statistical distribution     splitting tensile strength    

Title Author Date Type Operation

Digital image correlation-based structural state detection through deep learning

Journal Article

A study on fatigue damage of asphalt mixture under different compaction using 3D-microstructural characteristics

Jing HU, Pengfei LIU, Bernhard STEINAUER

Journal Article

Deformation field and crack analyses of concrete using digital image correlation method

Yijie HUANG, Xujia HE, Qing WANG, Jianzhuang XIAO

Journal Article

a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge Detection in ImageProcessing

Journal Article

fracture process in forta and polypropylene fiber-reinforced concrete using experimental analysis and digitalimage correlation

Seyed Hamid KALALI; Hamid ESKANDARI-NADDAF; Seyed Ali EMAMIAN

Journal Article

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Journal Article

Three-dimensional reconstruction of light microscopy image sections: present and future

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Journal Article

polypropylene-reinforced ultra-high-performance concrete through numerical analyses and experimental multi-target digitalimage correlation

Journal Article

Recent Advances in Passive Digital Image Security Forensics: A Brief Review

Xiang Lin, Jian-Hua Li, Shi-Lin Wang, Alan-Wee-Chung Liew, Feng Cheng, Xiao-Sa Huang

Journal Article

Three-scale stochastic homogenization of elastic recycled aggregate concrete based on nano-indentation digital

Chen WANG, Yuching WU, Jianzhuang XIAO

Journal Article

Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques

Amit SHIULY; Debabrata DUTTA; Achintya MONDAL

Journal Article

How do digital technologies improve supply chain resilience in the COVID-19 pandemic?

Journal Article

Dynamic modeling and damage analysis of debris cloud fragments produced by hypervelocity impacts via imageprocessing

Ru ZENG, Yan SONG, Weizhen LV,zengru_neo@163.com,sonya@usst.edu.cn,hala_lwz@163.com

Journal Article

Automatic image enhancement by learning adaptive patch selection

Na LI, Jian ZHAN

Journal Article

Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Journal Article