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A Generic Semi-supervised Deep Learning-Based Approach for Automated Surface Inspection
2020
IEEE Access
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In this paper, a generic semi-supervised deep learning-based approach for ASI that requires a small quantity of labeled training data is proposed. ...
INDEX TERMS Automated surface inspection, defect detection, deep learning, machine vision, MixMatch, semi-supervised learning. ...
ACKNOWLEDGMENT The authors would like to thank the developers of MixMatch, Cutout, and ResNet. ...
doi:10.1109/access.2020.3003588
fatcat:wm3gcgqaq5dgzpaeebtiiysmwi
SurfNetv2: An Improved Real-Time SurfNet and Its Applications to Defect Recognition of Calcium Silicate Boards
2020
Sensors
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This paper presents an improved Convolutional Neural Network (CNN) architecture to recognize surface defects of the Calcium Silicate Board (CSB) using visual image information based on a deep learning ...
In the collection of the training dataset, we manually captured the defect images presented on the surface of the CSB samples. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s20164356
pmid:32764243
fatcat:6c23bwg2avb5zdufrzouxnzazu
A Past, Present, and Prospective Review on Microwave Nondestructive Evaluation of Composite Coatings
2021
Coatings
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Consequently, microwave NDT techniques have emerged to compensate for the shortcomings of traditional NDT approaches. ...
The review aimed to provide the reader with a comprehensive overview of most NDT techniques used for composite materials alongside their most salient features. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/coatings11080913
fatcat:dmnsq7ygorc6hjoeszbpvj3qdm
2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69
2020
IEEE Transactions on Instrumentation and Measurement
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-5874 Heng, Y., see Xue, M., TIM June 2020 3812-3817 Henry, M.P., The Prism: Recursive FIR Signal Processing for Instrumentation Applications; TIM April 2020 1519-1529 Heo, S., see Jung, J.H., TIM ...
Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862 ...
., +, TIM June 2020 3262-3274 Image coding A Deep Learning-Based Surface Defect Inspection System Using Multiscale and Channel-Compressed Features. ...
doi:10.1109/tim.2020.3042348
fatcat:a5f4fsqs45fbbetre6zwsg3dly
A stable and accurate control-volume technique based on integrated radial basis function networks for fluid-flow problems
2011
Australian Journal of Mechanical Engineering
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Francis Rose [1261]
A comparison of algorithms for in-situ imaging of
structural damage
A.D. ...
on the natural frequencies
of laminated fibre composite sandwich plates
Samuel Telford [1215]
Modern maintenance practices: approaches
and visions towards condition-based asset
health management ...
17:10 Shape and topology optimization of mechanical components using adaptive biological growth method 17:10 CLOSING CEREMONY ...
doi:10.1080/14484846.2011.11464606
fatcat:k7f6s2ma4rggtaeu3amlohyvr4
Pipeline In-Line Inspection Method, Instrumentation and Data Management
2021
Sensors
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Moreover, data management in conjunction with historic data for condition-based pipeline maintenance becomes important as well. ...
Finally, the challenges, problems, and development trends of pipeline inspection as well as data management are derived and discussed. ...
[170] embedded a sequence-PCA (Principal Component Analysis) layer and designed a new attention block to a deep learning network for automated thermography defects detection. ...
doi:10.3390/s21113862
fatcat:fuzettw7ubeg7ecbom7imjuafe
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
Article numbers are based on specified topic areas and corresponding codes associated with the publication. ...
., +, TIM 2021 3507212 Deep Learning Based Automated Inspection of Weak Microscratches in Optical Fiber Connector End-Face. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
Defect Contour Detection of Complex Structural Chips
2021
Mathematical Problems in Engineering
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To solve this issue, this study proposes a method based on region segmentation search. ...
The remaining interference contours are eliminated on the basis of their shapes. A study of a certain kind of chips is presented. ...
Li [18] proposed a method based on wavelet transform, rough set theory, and support vector machine to classify copper clad laminate defects. Xie et al. ...
doi:10.1155/2021/5518675
fatcat:bd7kvtbyprel3oxgg623f2bddi
2020 Index IEEE Transactions on Components, Packaging and Manufacturing Technology Vol. 10
2020
IEEE Transactions on Components, Packaging, and Manufacturing Technology
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., +, TCPMT Feb. 2020 314-324 Deep Reinforcement Learning-Based Optimal Decoupling Capacitor Design Method for Silicon Interposer-Based 2.5-D/3-D ICs. ...
., +, TCPMT May 2020 878-886
Deep Reinforcement Learning-Based Optimal Decoupling Capacitor Design
Method for Silicon Interposer-Based 2.5-D/3-D ICs. ...
Random forests A Predictive Abnormality Detection Model Using Ensemble Learning in Stencil Printing Process. Alelaumi, S., +, 1560 -1568 ...
doi:10.1109/tcpmt.2020.3045544
fatcat:cpw36cbjcvernfgyphvprvtsvy
2019 Index IEEE Transactions on Instrumentation and Measurement Vol. 68
2019
IEEE Transactions on Instrumentation and Measurement
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., +, TIM Jan. 2019 27-37 Image denoising Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning. ...
., +, TIM Jan.
2019 49-64
The Influence of Uncertainty Contributions on Deep Learning Architectures
in Vision-Based Evaluation Systems. ...
Image scanners Nonlinear Reconstruction of Multilayer Media in Scanning Microwave Microscopy. Wei, Z., +, TIM Jan. 2019 197-205 ...
doi:10.1109/tim.2019.2956662
fatcat:kotlu7gwcngrdkelerc5va2hqe
Development of low cost 18-channel simultaneous sampling EEG data acquisition system for Brain Computer Interfacing
2012
Figshare
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However with all these advancements the systems used today are painfully slow and only perform a fraction of task that normal human being is able to perform in the same given amount of time. ...
Due to the lack of timely funding and the fact that all the components for the project had to be exported from abroad, this project is taking more time then it should have. ...
ACKNOWLEDGEMENTS Doing a difficult project like this at an undergraduate level was a daunting and many times a very stressful job .without the help and support of all of theses people mentioned below I ...
doi:10.6084/m9.figshare.96998
fatcat:sdbg2ylhfzhjxoo2kxvtat3a7u
Time Projection Chambers for the T2K Near Detectors
[article]
2010
arXiv
pre-print
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Novel features of the TPC design include its rectangular box layout constructed from composite panels, the use of bulk micromegas detectors for gas amplification, electronics readout based on a new ASIC ...
A key element of the near detectors is the ND280 tracker, consisting of two active scintillator-bar target systems surrounded by three large time projection chambers (TPCs) for charged particle tracking ...
The copper cladding on the inner and outer surfaces is divided into 10 mm wide strips on an 11.5 mm spacing. ...
arXiv:1012.0865v1
fatcat:fwnrgkvem5gzhikze35gkqwmni
Electroforming aluminum for solar energy concentrators
1966
Solar Energy
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, highly reflective, lightweight (approximately 0.25 lb/ sq. ft.), nonmagnetic solar concentrators^ A much greater degree of perfection of substrate surface is required than in the case of nickel or copper ...
It was demonstrated that'Targe scale aluminum electroforming,is not only possible, butTan be carried out in a safe and practical mannerj and the process is(suitable for the production of highly accurate ...
A single-piece, dish-shaped plate was used for the mold base and supported only at the periphery to prevent any possible show-through from occurring on the epoxy surface due to stiffeners on the mold base ...
doi:10.1016/0038-092x(66)90089-2
fatcat:2g4nwe7ckjayzp5vth4rluenya
Stretchable and Washable Electronics for Embedding in Textiles
2010
Materials Research Society Symposium Proceedings
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Verschillende mensen hebben op de één of andere manier een bijdrage geleverd aan het uiteindelijke resultaat. ...
At this stage of the process, the substrate looks like a standard single layer copper clad laminate, used in rigid PCB processing. ...
The pictures in Figure 5 .16 and Figure 5 .17 confirm these findings, based upon visual inspection. ...
doi:10.1557/proc-1271-jj04-03
fatcat:2k2ne6jgmjfzdafhk7cgjqw3cq
Compact solar concentrator designed by minilens and slab waveguide
2011
High and Low Concentrator Systems for Solar Electric Applications VI
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Solaria modules are manufactured with an efficient use of silicon that leads to the smallest carbon footprint and fastest energy payback of any silicon-based panel; the company is a leader in the solar ...
A common design uses Fresnel lens as a concentrator is bulky and the acceptance angle is very small that requires a high accurate stepper motor for tracking system. ...
learned from a fleet of 400 systems A. ...
doi:10.1117/12.892980
fatcat:6kaqm6mvgzdoviljbv5meadahm
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