최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Measurement science & technology, v.32 no.9, 2021년, pp.094011 -
Barnkob, Rune , Cierpka, Christian , Chen, Minqian , Sachs, Sebastian , Mäder, Patrick , Rossi, Massimiliano
초록이 없습니다.
Lab Chip Barnkob 10.1039/C5LC00562K 15 3556 2015 General defocusing particle tracking
Barnkob 2020 DefocusTracker: a modular toolbox for defocusing-based, single-camera, 3D particle tracking
Exp. Fluids Barnkob 10.1007/s00348-020-2937-5 61 110 2020 General defocusing particle tracking: fundamentals and uncertainty assessment
Microfluid. Nanofluidics Blahout 10.1007/s10404-020-2326-7 24 22 2020 On the 3D distribution and size fractionation of microparticles in a serpentine microchannel
Exp. Fluids Brockmann 10.1007/s00348-020-2900-5 61 67 2020 Utilizing the ball lens effect for astigmatism particle tracking velocimetry
Exp. Fluids Brockmann 10.1007/s00348-020-03120-4 62 1 2021 On the calibration of astigmatism particle tracking velocimetry for suspensions of different volume fractions
Exp. Fluids Buchmann 10.1007/s00348-014-1842-1 55 1842 2014 Ultra-high-speed 3D astigmatic particle tracking velocimetry: application to particle-laden supersonic impinging jets
J. Vis. Cierpka 10.1007/s12650-011-0107-9 15 1 2011 Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics
Meas. Sci. Technol. Cierpka 10.1088/0957-0233/22/1/015401 22 2010 On the calibration of astigmatism particle tracking velocimetry for microflows
Exp. Fluids Cierpka 10.1007/s00348-011-1075-5 52 605 2011 A comparative analysis of the uncertainty of astigmatism-μPTV, stereo-μPIV and μPIV
Meas. Sci. Technol. Cierpka 10.1088/0957-0233/21/4/045401 21 2010 A simple single camera 3C3D velocity measurement technique without errors due to depth of correlation and spatial averaging for microfluidics
Exp. Fluids Franchini 10.1007/s00348-020-02968-w 61 140 2020 Cut, overlap and locate: a deep learning approach for the 3D localization of particles in astigmatic optical setups
Meas. Sci. Technol. Fuchs 10.1088/0957-0233/27/8/084005 27 2016 In situ calibrated defocusing PTV for wall-bounded measurement volumes
Exp. Fluids Fuchs 10.1007/s00348-016-2161-5 57 73 2016 Uncertainty quantification of three-dimensional velocimetry techniques for small measurement depths
Exp. Fluids Kahler 10.1007/s00348-016-2173-1 57 97 2016 Main results of the fourth int. PIV challenge
Exp. Fluids Kahler 10.1007/s00348-012-1307-3 52 1641 2012 On the uncertainty of digital PIV and PTV near walls
Biophys. J. Kao 10.1016/S0006-3495(94)80601-0 67 1291 1994 Tracking of single fluorescent particles in three dimensions: use of cylindrical optics to encode particle position
Lab Chip Kiebert 10.1039/C7LC00184C 17 2104 2017 3D measurement and simulation of surface acoustic wave driven fluid motion: a comparison
Kingma 2015 Adam: a method for stochastic optimization
Exp. Fluids Kloosterman 10.1007/s00348-010-1015-9 50 1587 2010 Flow rate estimation in large depth-of-field micro-PIV
Meas. Sci. Technol. Konig 10.1088/1361-6501/ab7bfd 31 2020 On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV
Proc. Vis. Interface Lewis 10 120 1995 Fast normalized cross-correlation
Lab Chip Lindken 10.1039/b906558j 9 2551 2009 Micro-particle image velocimetry μPIV): recent developments, applications and guidelines
IEEE Trans. Ultrason. Ferroelectr. Freq. Control Luo 10.1109/TUFFC.2010.1554 57 1347 2010 A fast normalized cross-correlation calculation method for motion estimation
Meas. Sci. Technol. Luo 10.1088/0957-0233/22/4/045402 22 2011 Pattern matching for three-dimensional tracking of sub-micron fluorescent particles
Soft Matter Marin 10.1039/C5SM02354H 12 1593 2016 Surfactant-driven flow transitions in evaporating droplets
Phys. Rev. Appl. Marin 10.1103/PhysRevApplied.3.041001 3 2015 Three-dimensional phenomena in microbubble acoustic streaming
Meas. Sci. Technol. Meinhart 10.1088/0957-0233/14/7/320 14 1047 2003 The theory of diffraction-limited resolution in microparticle image velocimetry
Exp. Fluids Olsen 10.1007/s003480070018 29 S166 2000 Out-of-focus effects on particle image visibility and correlation in microscopic particle image velocimetry
Exp. Fluids Park 10.1007/s00348-005-0090-9 40 491 2006 Three-dimensional micro-PTV using deconvolution microscopy
Raffel 2018
Ren 2015 Faster R-CNN: towards real-time object detection with region proposal networks
Meas. Sci. Technol. Rossi 10.1088/1361-6501/ab42bb 31 2020 Synthetic image generator for defocusing and astigmatic PIV/PTV
Meas. Sci. Technol. Rossi 10.1088/1361-6501/abad71 32 2020 A fast and robust algorithm for general defocusing particle tracking
Meas. Sci. Technol. Rossi 10.1088/0957-0233/22/10/105405 22 2011 Volumetric reconstruction of the 3D boundary of stream tubes with general topology using tracer particles
Exp. Fluids Rossi 10.1007/s00348-014-1809-2 55 1809 2014 Optimization of astigmatic particle tracking velocimeters
Exp. Fluids Rossi 10.1007/s00348-011-1194-z 52 1063 2011 On the effect of particle image intensity and image preprocessing on the depth of correlation in micro-PIV
Sarvaiya pp 819 2009 Image registration by template matching using normalized cross-correlation
Lab Chip Segura 10.1039/C4LC01268B 15 660 2015 Simultaneous three-dimensional temperature and velocity field measurements using astigmatic imaging of non-encapsulated thermo-liquid crystal (TLC) particles
Simonyan 2015 Very deep convolutional networks for large-scale image recognition
Exp. Fluids Stolz 10.1007/BF02412811 17 105 1994 In-plane determination of 3D-velocity vectors using particle tracking anemometry (PTA)
Tan 2019 EfficientNet: rethinking model scaling for convolutional neural networks
Int. J. Hydrog. Energy Weier 10.1016/j.ijhydene.2017.07.034 42 20923 2017 The effect of a Lorentz-force-driven rotating flow on the detachment of gas bubbles from the electrode surface
Lab Chip Winer 10.1039/C3LC51352A 14 1443 2014 Application of a three-dimensional (3D) particle tracking method to microfluidic particle focusing
Zoph 2017 Learning transferable architectures for scalable image recognition
※ AI-Helper는 부적절한 답변을 할 수 있습니다.