亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Quantitative analysis of textile delusterant based on terahertz spectral and data fusion strategies

太赫兹辐射 织物 融合 传感器融合 计算机科学 材料科学 遥感 人工智能 光电子学 地质学 复合材料 语言学 哲学
作者
Xianhua Yin,Huicong Chen,An Li,Wei Mo
出处
期刊:Infrared Physics & Technology [Elsevier BV]
卷期号:125: 104293-104293 被引量:7
标识
DOI:10.1016/j.infrared.2022.104293
摘要

• Spectral data fusion and partial least squares were used to determine the delusterant content in textiles. • High-level data fusion was the most effective way to model the quantification of delusterant. • It lays the valuable foundation for the testing of textile additives. Titanium dioxide is a delusterant and an important component in the manufacturing of polyester fiber. For the need of fast, accurate and nondestructive detection of matting agents in textiles, a quantitative analysis method based on terahertz absorption spectroscopy and derivative spectroscopy, combined with chemometrics and data fusion strategy is proposed. This experiment was used two spectra for fusion. The terahertz absorption spectra were obtained in the band of 0.2–1.9 THz by optical parameter extraction. The derivative spectrum was derived from the first-order derivative of the absorption spectrum. Partial least squares (PLS) and data fusion were used to construct a prediction model for titanium dioxide concentration in polyester fiber. Low-level data fusion was the direct combination of two spectral data; The successive projections algorithm (SPA) and Monte Carlo uninformative variable elimination (MCUVE) were employed by mid-level data fusion for feature selection, after which the feature variables were fused; multiple linear regression was used for fusion by high-level data fusion. The prediction accuracy of the high-level data fusion model is higher than that of other models, which the correlation coefficient of cross-validation (Rcv) and correlation coefficient of prediction (Rp) are 0.9229 and 0.9227. The mean relative error (MRE) is 0.2654. The results show that terahertz spectroscopy combined with chemometric methods and high-level data fusion strategies can achieve rapid, accurate and non-destructive detection of titanium dioxide in polyester fiber, which can lay the theoretical foundation for terahertz spectroscopy detection methods for textile additives.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
辛勤幻竹完成签到,获得积分10
4秒前
科研通AI6.2的应助被icymars采纳,获得10
6秒前
Ret完成签到,获得积分10
13秒前
SciGPT的应助被icymars采纳,获得10
14秒前
nkuwangkai完成签到,获得积分10
20秒前
20秒前
李健的小迷弟的应助被grosfgcrd采纳,获得10
24秒前
25秒前
JoyEn完成签到,获得积分10
26秒前
null的应助被科研通管家采纳,获得10
29秒前
null的应助被科研通管家采纳,获得10
30秒前
null的应助被科研通管家采纳,获得10
30秒前
Jasper的应助被科研通管家采纳,获得10
30秒前
null的应助被科研通管家采纳,获得10
30秒前
星辰大海的应助被酸味yjm采纳,获得10
38秒前
慕青的应助被玥儿的小坏蛋采纳,获得10
43秒前
温暖的胜完成签到,获得积分10
43秒前
哈哈的应助被朝朝暮夕采纳,获得10
46秒前
不安的晓露完成签到,获得积分10
50秒前
50秒前
50秒前
Aiko发布了新的文献求助10
56秒前
科研通AI6.4的应助被Aiko采纳,获得10
1分钟前
JamesPei的应助被Aiko采纳,获得10
1分钟前
跳跃的冰安完成签到,获得积分10
1分钟前
1分钟前
1分钟前
jj完成签到,获得积分10
1分钟前
1分钟前
1分钟前
刘明发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
刘明完成签到,获得积分10
1分钟前
1分钟前
颂之完成签到 ,获得积分10
1分钟前
芋头发布了新的文献求助10
1分钟前
Owen的应助被哈哈哈哈采纳,获得10
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Energie-Contracting 1500
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Mathematical models in hydrology 1000
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Oncology Clinical Trials: Successful Design, Conduct, and Analysis, Second Edition 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8084045
求助须知:如何正确求助?哪些是违规求助? 9498790
关于积分的说明 21408544
捐赠科研通 7652412
什么是DOI,文献DOI怎么找? 3402448
关于科研通互助平台的介绍 2531527
邀请新用户注册赠送积分活动 2441069