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A Generic Semi-supervised Deep Learning-Based Approach for Automated Surface Inspection

Xiaoqing Zheng, Hongcheng Wang, Jie Chen, Yaguang Kong, Song Zheng
2020 IEEE Access  
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

Chi-Yi Tsai, Hao-Wei Chen
2020 Sensors  
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

Wei Siang Teng, Muhammad Firdaus Akbar, Ghassan Nihad Jawad, Shin Yee Tan, Mohd Ilyas Sobirin Mohd Sazali
2021 Coatings  
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  
-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

N Mai-Duy, T Tran-Cong
2011 Australian Journal of Mechanical Engineering  
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

Qiuping Ma, Guiyun Tian, Yanli Zeng, Rui Li, Huadong Song, Zhen Wang, Bin Gao, Kun Zeng
2021 Sensors  
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  
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

Bin Lin, Jie Wang, Xia Yang, Zhangdong Tang, Xuan Li, Cenlin Duan, Xiaohu Zhang, Jude Hemanth
2021 Mathematical Problems in Engineering  
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  
., +, 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  
., +, 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

Adnan Niazi
2012 Figshare  
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]

T2K ND280 TPC collaboration
2010 arXiv   pre-print
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  
, 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

Thomas Vervust, Frederick Bossuyt, Fabrice Axisa, Jan Vanfleteren
2010 Materials Research Society Symposium Proceedings  
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

Wan-Chieh Shieh, Guo-Dung Su, Kaitlyn VanSant, Raed A. Sherif
2011 High and Low Concentrator Systems for Solar Electric Applications VI  
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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