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General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform 期刊论文
Infrared Physics & Technology, 2018, 卷号: 92, 页码: 68-77
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
浏览  |  Adobe PDF(2882Kb)  |  收藏  |  浏览/下载：351/128  |  提交时间：2019/09/17
Latent low-rank representation  Local non-subsampled shearlet transform  Salient features  Image fusion  visible-light  contourlet transform  feature-extraction  nsct domain  algorithm  pcnn  nsst  Instruments & Instrumentation  Optics  Physics  
Synthesis of POSS-functionalized liquid crystalline block copolymers via RAFT polymerization for stabilizing blue phase helical soft superstructures 期刊论文
Polymer Chemistry, 2018, 卷号: 9, 期号: 16, 页码: 2101-2108
作者:  Jin, J. Q.;  Tang, M. J.;  Zhang, Z. H.;  Zhou, K.;  Gao, Y.;  Zheng, Z. G.;  Zhang, W. A.
浏览  |  Adobe PDF(4408Kb)  |  收藏  |  浏览/下载：425/117  |  提交时间：2019/09/17
polyhedral oligomeric silsesquioxane  one-pot synthesis  hierarchical  structure  hybrid copolymer  thin-films  nanoparticles  assemblies  template  polymers  nanostructures  Polymer Science  
Dimensionless design model for biaxial Cartwheel flexure hinges 期刊论文
Mechanics Based Design of Structures and Machines, 2018, 卷号: 46, 期号: 4, 页码: 401-409
作者:  Li, Z. X.;  Chen, X.;  Jin, G.
浏览  |  Adobe PDF(863Kb)  |  收藏  |  浏览/下载：341/100  |  提交时间：2019/09/17
Dimensionless design  finite element method  flexure hinge  mirror  mount  rotational stiffness  space telescope  graphs  Mechanics  
Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength 期刊论文
Neurocomputing, 2018, 卷号: 310, 页码: 135-147
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
浏览  |  Adobe PDF(4010Kb)  |  收藏  |  浏览/下载：437/136  |  提交时间：2019/09/17
LNSST  ATD-PCNN  Image fusion  Singular value decomposition  Auxiliary  linking strength  Triple-linking strength  sparse representation  shearlet transform  multi-focus  feature-extraction  neural-network  domain  algorithm  decomposition  Computer Science  
Upconversion properties and temperature sensing behaviors in visible and near-infrared region based on fluorescence intensity ratio in LuVO4 Yb3+Er3+ 期刊论文
Journal of Alloys and Compounds, 2018, 卷号: 769, 页码: 325-331
作者:  Ma, Y.;  Xiang, G. T.;  Zhang, J. H.;  Liu, Z.;  Zhou, P.;  Liu, W.;  Tang, X.;  Jiang, S.;  Zhou, X. J.;  Li, L.;  Luo, Y. S.;  Jin, Y.
浏览  |  Adobe PDF(3052Kb)  |  收藏  |  浏览/下载：466/106  |  提交时间：2019/09/17
Energy transfer  Upconversion  Fluorescence intensity ratio  Optical  thermometry  LuVO4: Yb3+/Er3+  hydrothermal synthesis  hexagonal-phase  luminescence  er3+  yb3+  nanocrystals  thermometry  lanthanide  phosphor  emission  Chemistry  Materials Science  Metallurgy & Metallurgical Engineering  
Calculative and experimental study of the CFRP tape spring 期刊论文
Journal of Mechanical Science and Technology, 2018, 卷号: 32, 期号: 8, 页码: 3603-3609
作者:  Zuo, Y. D.;  Jin, G.;  Xie, P.
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Tape springs  Carbon fibre reinforced plastic (CFRP)  Non-linear finite  element analysis  Bending moment  deployment  Engineering  
Adaptive fusion framework of infrared and visual image using saliency detection and improved dual-channel PCNN in the LNSST domain 期刊论文
Infrared Physics & Technology, 2018, 卷号: 92, 页码: 30-43
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
浏览  |  Adobe PDF(3910Kb)  |  收藏  |  浏览/下载：364/111  |  提交时间：2019/09/17
LNSST  Image fusion  Improved dual-channel PCNN  Frequency-tuned  saliency detection  sparse representation  contourlet transform  shearlet transform  feature-extraction  algorithm  decomposition  Instruments & Instrumentation  Optics  Physics  
A novel fusion framework of visible light and infrared images based on singular value decomposition and adaptive DUAL-PCNN in NSST domain 期刊论文
Infrared Physics & Technology, 2018, 卷号: 91, 页码: 153-163
作者:  Cheng, B. Y.;  Jin, L. X.;  Li, G. N.
Adobe PDF(3524Kb)  |  收藏  |  浏览/下载：343/113  |  提交时间：2019/09/17
NSST  ADS-PCNN  Image fusion  Singular value decomposition  Local  structure information operator  Linking strength  shearlet transform  feature-extraction  nsct domain  algorithm  scheme  Instruments & Instrumentation  Optics  Physics  
Predicting tool wear with multi-sensor data using deep belief networks 期刊论文
International Journal of Advanced Manufacturing Technology, 2018, 卷号: 99, 期号: 2019-05-08, 页码: 1917-1926
作者:  Chen, Y. X.;  Jin, Y.;  Jiri, G.
Adobe PDF(2114Kb)  |  收藏  |  浏览/下载：377/135  |  提交时间：2019/09/17
Tool wear prediction  Deep belief network  Support vector regression  Artificial neural network  neural-networks  diagnosis  state  model  optimization  prognostics  machinery  algorithm  filter  Automation & Control Systems  Engineering