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Highly efficient non-doped blue OLED based on perylene 期刊论文
APPLIED PHYSICS LETTERS, 2021, 卷号: 119, 期号: 5, 页码: 1ENG
作者:  Liang, N.;  Zhao, Y. K.;  Wu, Y. Z.;  Zhang, C. R.;  Shao, M.
收藏  |  浏览/下载:9/0  |  提交时间:2021/10/14
Adaptive luminance adjustment and neighborhood spreading strength information based view synthesis 期刊论文
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2016, 卷号: 27, 期号: 3, 页码: 721-729
作者:  Fu, Zhizhong;  Wang, Xue;  Li, Yuan;  Yang, Xiaohui;  Xu, Jin
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/16
Adaptive luminance adjustment and neighborhood spreading strength information based view synthesis 期刊论文
Journal of Systems Engineering and Electronics, 2016, 期号: 03, 页码: 721-729
作者:  Zhizhong Fu;  Xue Wang;  Yuan Li;  Xiaohui Yang;  Jin Xu
收藏  |  浏览/下载:7/0  |  提交时间:2019/12/16
Synthesis, photo-and electro-luminescence of 3-benzoxazol-2-yl-coumarin derivatives 期刊论文
Journal of Fluorescence, 2012, 卷号: 22, 期号: 2, 页码: 631-638
作者:  Zhao, Yuling;  Yu, Tianzhi;  Wu, Youzhi;  Zhang, Hui;  Fan, Duowang
收藏  |  浏览/下载:0/0  |  提交时间:2020/11/14
Synthesis, characterization, and luminescent properties of a red-emitting Europium complex (EI CONFERENCE) 会议论文
1st International Conference on Energy and Environmental Protection, ICEEP 2012, June 23, 2012 - June 24, 2012, Hohhot, China
Zhang L.; Li B.; Lv G.
收藏  |  浏览/下载:71/0  |  提交时间:2013/03/25
a fluorine functionalized 1  10-phenanthroline ligand  3-ethyl-2-(2- fluorophenyl) imidazo[4  5-f]1  10-phenanthroline(EFPIP) and the corresponding red-emitting Eu(III) complex Eu(DBM)3(EFPIP) (DBM = dibenzoylmethanate) was synthesized and the photophysical properties and electroluminescent(EL) performances were researched. When Eu(DBM) 3(EFPIP) was used as emitting material in organic devices  the maximum efficiency and luminance of red emission achieved from the EL device with the configuration of ITO/m-MTDATA (30 nm)/NPB (20 nm)/x wt% Eu(DBM) 3(EFPIP) doped in CBP (30 nm)/Bphen (20 nm)/Alq3 (20 nm)/LiF (0.8 nm)/Al were 3.6 cd/A and 563 cd/m2  respectively. Compared with the previously reported devices based on methyl or chlorine substitute Eu(III) complexes  the EL performances of the device using Eu(DBM)3(EFPIP) as an emitter was significantly enhanced due to the introduction of fluorine. (2012) Trans Tech Publications  Switzerland.  
Highly efficient blue electrophosphorescent devices with a novel host material 期刊论文
2010, 2010
Lei, G.T.; Wang, L.D.; Duan, W.L.; Qiu, W.Y.
收藏  |  浏览/下载:3/0
Study on color model conversion for camera with neural network based on the combination between second general revolving combination design and genetic algorithm (EI CONFERENCE) 会议论文
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
Zhao H.; Li Z.; Wang C.; Sun J.; Zhou F.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Munsell color system is selected to establish the mutual conversion between RGB and L*a*b* color model for camera. The color luminance meter and CCD camera synchronously measure the same color card  XYZ value is gotten from the color luminance meter  the training error is 0.000748566  it can show that the method combining second general revolving combination design with genetic algorithm can optimize the hidden-layer structure of neural network. Using the data of testing set to test this network and calculating the color difference between forecast value and true value  the color picture captured from CCD camera is expressed for RGB value as the input of neural network  and the L*a*b* value converted from XYZ value is regarded as the real color value of target card  which the difference is not obvious comparing with forecast result  the maximum is 5.6357 NBS  namely the output of neural network. The neural network of two hidden-layers is considered  the minimum is 0.5311 NBS  so the second general revolving combination design is introduced into optimizing the structure of neural network  and the average of color difference is 3.1744 NBS.  which can carry optimization through unifying project design  data processing and the precision of regression equation. Their mathematics model of encoding space is gained  and the significance inspection shows the confidence degree of regression equation is 99%. The mathematics model is optimized by genetic algorithm  optimization solution is gotten  and function value of the goal is 0.0007168. The neural network of the optimization solution is trained  


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