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	Biomimetic Turing machine: A multiscale theoretical framework for the inverse design of target space curves 期刊论文 OAI收割 JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2025, 卷号: 196, 页码: 21 作者: Li, Jiahao; Sun, Xiaohao; He, Zezhou; Hou, Yuanzhen; Wu HA(吴恒安) \| 收藏 \| 浏览/下载：3/0 \| 提交时间：2025/02/17 Morphing materials Space curves Programmable ribbon Inverse design Microstructure encoding
	A Quaternary-Encoding-Based Channel Hopping Algorithm for Blind Rendezvous in Distributed IoTs 期刊论文 OAI收割 IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 卷号: 67, 期号: 10, 页码: 7316-7330 作者: Zhang, Zengqi; Yang, Bo; Liu, Min; Li, Zhongcheng; Guo, Xiaobing \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2020/12/10 Distributed rendezvous algorithm hopping sequence design 6B/8B encoding Chinese remainder theorem
	Combination of multiple bipartite ranking for multipartite web content quality evaluation 期刊论文 iSwitch采集 Neurocomputing, 2015, 卷号: 149, 页码: 1305-1314 作者: Jin, Xiao-Bo; Geng, Guang-Gang; Sun, Minghe; Zhang, Dexian 收藏 \| 浏览/下载：31/0 \| 提交时间：2019/05/09 Web content quality evaluation Multipartite ranking Bipartite ranking Encoding design Decoding design
	The study of encoding principle and encoding disc design of a new-style vernier absolute encoder (EI CONFERENCE) 会议论文 OAI收割 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China 作者: Li L. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 To satisfy the requirement of encoder miniaturization high dependability and high measuring accuracy a new-style vernier absolute type encoder which offered significant advantages over less reticling circles and high precision was presented in the paper which carried out the design of vernier encoding disc the analysis of new-style vernier encoding principle and exact encoding track calibration by studying the photoelectric encoder. The Matlab simulation results prove that the encoding and coding methods are feasible. The test showed that the cubage of encoder was quite small and the diameter of the encoder can be controlled within 100mm its resolution can reach 24 bits i.e. 0.0772. The feasibility of encoding and coding method was further proved. 2011 IEEE.
	Pattern design on 3D triangular garment surfaces 期刊论文 OAI收割 JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2007, 卷号: 8, 期号: 10, 页码: 1642-1649 作者: Wang Jin; Lu Guo-dong; Li Ji-tuo; Chen Long; Zhang Dong-liang 收藏 \| 浏览/下载：19/0 \| 提交时间：2015/11/08 pattern design style lines 3D patch searching encoding/decoding design reuse
	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 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Z.; Zhou F.; Wang C.; Li Z. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 Munsell color system is selected to establish the mutual conversion between RGB and Lab* 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 Lab* 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