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基于B样条拟合与回归模型的脑神经纤维聚类方法 被引量:1
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作者 徐超清 王云超 +2 位作者 孙国道 梁荣华 徐秀芳 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2022年第12期1920-1929,共10页
针对现有的神经纤维聚类技术通常依赖于纤维束的空间位置,缺乏对神经纤维走向信息考量的问题,提出一种基于B样条拟合与回归模型的脑神经纤维聚类方法,将神经纤维进行B样条拟合与采样,标准化,使用线性回归方程进行神经纤维描述,构造出每... 针对现有的神经纤维聚类技术通常依赖于纤维束的空间位置,缺乏对神经纤维走向信息考量的问题,提出一种基于B样条拟合与回归模型的脑神经纤维聚类方法,将神经纤维进行B样条拟合与采样,标准化,使用线性回归方程进行神经纤维描述,构造出每根神经纤维的高斯密度函数与神经纤维分布的极大似然函数,使用EM聚类算法进行聚类.将该算法与QB聚类算法应用到真实医学数据(PPMI影像数据跟踪出的脑神经纤维)上,并对聚类结果与QB聚类结果进行评估,定性地判断分类结果在解剖学空间上的相似性,定量地比较聚类后脑神经纤维的数目.实验结果表明,该方法在功能区层面的聚类可以更有效地分割出具有解剖学结构的脑神经纤维. 展开更多
关键词 脑神经纤维 B样条拟合 线性回归 EM算法 纤维聚类
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芳香族聚酰胺类纤维应用于摩擦材料的现状和趋势
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作者 何鑫业 李兰英 +1 位作者 徐长刚 王凤德 《高科技纤维与应用》 CAS 2013年第5期51-55,共5页
综述和分析了近年来国内外芳香族聚酰胺类纤维在摩擦材料的应用研究现状和发展趋势。表明发达国家在强制禁止摩擦材料中使用致癌物质石棉后,大大促进了非石棉增强摩擦材料的发展。其中芳香族聚酰胺类纤维增强材料以其优越的热学、力学... 综述和分析了近年来国内外芳香族聚酰胺类纤维在摩擦材料的应用研究现状和发展趋势。表明发达国家在强制禁止摩擦材料中使用致癌物质石棉后,大大促进了非石棉增强摩擦材料的发展。其中芳香族聚酰胺类纤维增强材料以其优越的热学、力学以及摩擦性能,在摩擦材料领域得到广泛的应用。尤其对位芳纶浆粕在此领域应用最广研究最为深入。 展开更多
关键词 芳香族酰胺纤维 摩擦材料、应用 现状 趋势
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Application of Clustering Fusion on Foreign Fibers Measure-Control System
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作者 杜玉红 蒋秀明 杨公源 《Journal of Donghua University(English Edition)》 EI CAS 2010年第4期571-577,共7页
According to the structure characteristics of foreign fibers detection system,the foreign fiber flow flux mathematical model and fiber detection system were designed.The information fusion clustering structure of fore... According to the structure characteristics of foreign fibers detection system,the foreign fiber flow flux mathematical model and fiber detection system were designed.The information fusion clustering structure of foreign fiber flow flux was put forward.The data of the pressure difference,pressure,temperature,and density sensor which had impacted on flux were integrated and output by the Adaptive Resonance Theory-2(ART-2)network and BP network to clustering analysis of output space.The clustering control strategy will keep the output flow pressure stable,when the output pressure and temperature change. 展开更多
关键词 fiber flow information fusion clustering analysis
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Fatigue damage characterization of carbon fiber reinforced polymer bridge cables:Wavelet transform analysis for clustering acoustic emission data 被引量:10
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作者 LI DongSheng HU Qian +1 位作者 OU JinPing LI Hui 《Science China(Technological Sciences)》 SCIE EI CAS 2011年第2期379-387,共9页
Carbon fiber reinforced polymer(CFRP)has many remarkable merits.It is lightweight and has great rigidity and high intensity. High-durability cable produced from CFRP as reinforcement material is widely used in bridge ... Carbon fiber reinforced polymer(CFRP)has many remarkable merits.It is lightweight and has great rigidity and high intensity. High-durability cable produced from CFRP as reinforcement material is widely used in bridge construction projects.However, there is a dearth of studies regarding damage types and mechanism under fatigue load of CFRP bridge cables.In this paper,we adopt acoustic emission(AE)technology to monitor fatigue damage and failure of the CFRP bridge cables,specifically by monitoring the bridge cable’s fatigue test process and using wavelet transformation to analyze data.Results show that damage on the CFRP cable is divided into three stages.Based on wavelet singularity theory,in each stage of AE,the burst signal is obtained and its time-frequency distribution is achieved through wavelet analysis.According to the analysis results,failure modes in each phase and type of acoustic emission source are easy to determine.The characteristics of waveform,types of damages, and frequency distribution of CFRP bridge cable in different damage phases are collected.Research shows that the method used to determine the types of fatigue damage on the CFRP cable is feasible according to the range of distribution characteristic parameters for acoustic emission signal and type of waveform. 展开更多
关键词 CFRP bridge cable acoustic emission fatigue damage damage types
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