Research on the Relationship between Color Thread Coverage Rate on the Surface of Yarn Dyed Fabric and its Color Saturation of Mixed Colors

2013 ◽  
Vol 796 ◽  
pp. 507-512 ◽  
Author(s):  
Qi Zheng Li ◽  
Xiao Ke Jin ◽  
Shi Yong Xu ◽  
Cheng Yan Zhu
Keyword(s):  
Accurate Result ◽  
Coverage Rate ◽  
Color Measurement ◽  
Gradual Change ◽  
Color Test ◽  
Saturation Control ◽  
Dyed Fabrics ◽  
Dyed Fabric ◽  
Fabric Surface ◽  
The Relationship

In order to study the saturation control of space juxtaposition mixed colors of yarn dyed fabrics with different warp and weft colors, this paper takes the fabric variety with 6-color warp and 3-color weft for example, designed 7 kinds of weaves with gradual change of floating length with red, green and blue and makes them into fabric samples; then, puts forward the methods of posterization of digital fabric pictures and histogram statistics for counting the coverage rate of color thread on yarn dyed fabric surface, through which a more accurate result can be obtained than theoretical calculation; In the end, conducts color test on 21 fabric samples with Digieye digital color measurement system, which shows that the saturation (C*) of mixed colors of fabric samples has a good linear relationship with the coverage rate of color thread on yarn dyed fabric surface, with the linear correlation coefficient of 0.90333.

scholarly journals Experimental Study on Dyeing Performance and Antibacterial Activity of Silver Nanoparticle-Immobilized Cotton Woven Fabric

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Imana Shahrin Tania ◽  
Mohammad Ali ◽  
Riyadh Hossen Bhuiyan
Keyword(s):  
Antibacterial Activity ◽  
Silver Nanoparticle ◽  
Woven Fabric ◽  
X Ray Diffraction ◽  
Color Strength ◽  
Nanoparticle Deposition ◽  
Dyeing Performance ◽  
Dyed Fabrics ◽  
Dyed Fabric ◽  
Fabric Surface

AbstractThe purposes of the current research were to deposit the silver nanoparticles on the surface of a textile woven fabric and evaluate their dyeing performance and antibacterial activity. The synthesis of silver nanoparticle (Ag°) is done by the in situ method. Strong alkali is used to improve functionality of cellulose before the application of silver nitrate salt (AgNO3). The silver nanoparticle is formed by reduction of ascorbic acid. Various instrumental analyses are done to prove the formation of nanoparticles on the fabric surface. The morphology of nanodeposited fabric is characterized by using scanning electron microscope (SEM), elemental composition is done by energy dispersive spectroscopy, and crystallinity of nanoparticles is obtained by X-ray diffraction (XRD). Nanodeposited fabric is then dyed with direct dyestuff (Direct Red-89). Fourier transform infrared spectroscopy analysis is done to explore the bonding phenomena of un-dyed and dyed fabrics. The dyeing performance and antibacterial activity are examined on the colored fabric to investigate the dyed fabric quality after nanoparticle deposition. Results demonstrate the improvement of 54% of color strength and 11% of dye exhaustion with excellent antibacterial activity.

Color prediction model for hybrid multifilament fabric

2021 ◽  
pp. 004051752110471
Author(s):  
Yujuan Wang ◽  
Wengang Li ◽  
Jun Wang
Keyword(s):  
Pearson Correlation ◽  
Color Difference ◽  
Color Measurement ◽  
Gray Histogram ◽  
Fabric Structure ◽  
Calculation Results ◽  
Iteration Model ◽  
Color Prediction ◽  
Fabric Surface ◽  
The Relationship

In order to facilitate the design of a hybrid filament before spinning, a k-m (Kubelka-Munk) iteration model was proposed, which was based on the calculation method for reflectance of a translucent object and needed to be used in conjunction with a fabric model that can reflect the arrangement order of monofilaments. Therefore, the model can not only calculate the color of each point on the fabric surface, but also the mixed color of the fabric. Twenty fabrics with five different blending ratios of black monofilaments and white monofilaments, four multifilament fineness and three fabric weave types were woven. The relationship between the gray distribution of all points on the fabric surface captured by the camera in a DigiEye colorimeter and calculated by the k-m iteration model was analyzed, and the color difference between the mixed color of the fabric tested by the Datacolor spectrophotometer and that calculated by the k-m iteration model was calculated. The results show that the intersection distance and Pearson correlation coefficient between the gray histogram of the photographed fabric image and that of the calculated fabric image were 0.79 and 0.89, respectively. The average color difference obtained by the k-m iteration model was 0.92 Color Measurement Committee (2:1) units, which was best compared with the calculation results of other models. By discussing the fabric structure parameters causing the lightness difference, it was concluded that the calculated lightness was smaller than the measured lightness difference for fabric with a longer float length, smaller multifilament fineness and a larger black monofilament blending ratio.

Application of K/S Value in Determination of Fixation Rate

2014 ◽  
Vol 1048 ◽  
pp. 116-119 ◽  
Author(s):  
Hai Yan Zhang
Keyword(s):  
Linear Relationship ◽  
Cotton Fabric ◽  
Reactive Dyes ◽  
Surface Measurement ◽  
Fixation Rate ◽  
Washing Method ◽  
Dyed Fabric ◽  
Fabric Surface ◽  
The Relationship

K/S value is an important parameter of modern colorimetry, which can indicate the depth of the color of dyed fabric surface. Measurement of K/S value is easily and simple operation in the applied engineering. Take Reactive Blue B-2GLN as examples in this paper, the relationship between K/S value and the fixing rate with the reactive dyes on cotton fabric was studied. And the feasibility of K/S value instead of the traditional washing method for the determination of reactive dyes fixation rate was also studied. The results show that: the K/S value of the fabric has good linear relationship to the reactive dyes fixation rate by the washing method and the reactive dyes fixation rate can be get from the K/S correction value.

scholarly journals Are Essential Women’s Healthcare Services Fully Covered? A Comparative Analysis of Policy Documents in Shanghai and New York City from 1978–2017

2021 ◽  
Vol 18 (8) ◽  
pp. 4261
Author(s):  
Qingyu Zhou ◽  
Qinwen Yu ◽  
Xin Wang ◽  
Peiwu Shi ◽  
Qunhong Shen ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Women's Health ◽  
York City ◽  
Healthcare Service ◽  
Healthcare Services ◽  
Coverage Rate ◽  
Policy Documents ◽  
Service Coverage ◽  
The Relationship

This study aimed to analyze the changes in the 10 major categories of women’s healthcare services (WHSs) in Shanghai (SH) and New York City (NYC) from 1978 to 2017, and examine the relationship between these changes and maternal mortality ratio (MMR). Content analysis of available public policy documents concerning women’s health was conducted. Two indicators were designed to represent the delivery of WHSs: The essential women’s healthcare service coverage rate (ESCR) and the assessable essential healthcare service coverage rate (AESCR). Spearman correlation was used to analyze the relationship between the two indicators and MMR. In SH, the ESCR increased from 10% to 90%, AESCR increased from 0% to 90%, and MMR decreased from 24.0/100,000 to 1.01/100,000. In NYC, the ESCR increased from 0% to 80%, the AESCR increased from 0% to 60%, and the MMR decreased from 24.7/100,000 to 21.4/100,000. The MMR significantly decreased as both indicators increased (p < 0.01). Major advances have been made in women’s healthcare in both cities, with SH having a better improvement effect. A common shortcoming for both was the lack of menopausal health service provision. The promotion of women’s health still needs to receive continuous attention from governments of SH and NYC. The experiences of the two cities showed that placing WHSs among policy priorities is effective in improving service status.

Automatic Defect Detection of Yarn-Dyed Fabrics Based on Energy Fusion and Local Binary Patterns

2012 ◽  
Vol 472-475 ◽  
pp. 3039-3042 ◽  
Author(s):  
Wen Yu Li ◽  
Long Di Cheng ◽  
Wen Liang Xue
Keyword(s):  
Defect Detection ◽  
Color Space ◽  
Local Binary Patterns ◽  
High Detection Rate ◽  
Energy Feature ◽  
Dyed Fabrics ◽  
Dyed Fabric ◽  
True Color ◽  
Real Time Application ◽  
Log Gabor

For the purpose of realizing fast and effective detection of defects of yarn-dyed fabric, and in consideration of the inherent characteristics of texture, i.e., color and structure, an approach for automatic defect detection is proposed in this paper. The image of yarn-dyed fabric to be enhanced is first converted from RGB true color space to L*a*b* color space. Then Log-gabor filters filter chromatic and brightness channels, and energy feature images are acquired after energy is fused between chromatic and brightness. Finally defects of yarn-dyed fabrics can be detected on the energy feature images using local binary patterns. The proposed method can detect colored and structural flaws. Experimental results for the defect detection from six kinds of yarn-dyed fabrics indicate that a high detection rate is achieved for the proposed method. It is fast enough to be possible for real-time application.

A Framework to Analyze Business Process Log in XML Format

2021 ◽  
Vol 12 (3) ◽  
pp. 2623-2630
Author(s):  
Ang Jin Sheng Et.al
Keyword(s):  
Data Mining ◽  
Business Process ◽  
Accurate Result ◽  
Structured Data ◽  
Web Pages ◽  
Web Searching ◽  
General Application ◽  
Data Mining Techniques ◽  
Xml Documents ◽  
The Relationship

XML has numerous uses in a wide variety of web pages and applications. Some common uses of XML include tasks for web publishing, web searching and automation, and general application such as for utilize, store, transfer and display business process log data. The amount of information expressed in XML has gone up rapidly. Many works have been done on sensible approaches to address issues related to the handling and review of XML documents. Mining XML documents offera way to understand both the structure and the content of XML documents. A common approach capable of analysing XML documents is frequent subtree mining.Frequent subtree mining is one of the data mining techniques that finds the relationship between transactions in a tree structured database. Due to the structure and the content of XML format, traditional data mining and statistical analysis hardly applied to get accurate result. This paper proposes a framework that can flatten a tree structured data into a flat and structured data, while preserving their structure and content.Enabling these XML documents into relational structured data allows a range of data mining techniques and statistical test can be applied and conducted to extract more information from the business process log.

Sentiment Analysis on UAV-aided Product Comments Based on Machine Learning: From Sentence to Document Level

2020 ◽  
Author(s):  
JINGYANG CAO ◽  
Shirong Yin ◽  
Guoxu Zhang
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Accurate Result ◽  
Supervised Machine Learning ◽  
Hotel Management ◽  
Novel Approach ◽  
Online Comments ◽  
New Perspective ◽  
The Relationship ◽  
Document Level

Abstract This paper presents a novel approach to analyze the sentiment of the product comments from sentence to document level and apply to the customers sentiment analysis on UAV-aided product comments for hotel management. In order to realize the effiffifficient sentiment analysis, a cascaded sentence-to-document sentiment classifification method is investigated. Initially, a supervised machine learning method is applied to explore the sentiment polarity of the sentence (SPS). Afterward, the contribution of the sentence to document (CSD) is calculated by using various statistical algorithms. Lastly, the sentiment polarity of the document (SPD) is determined by the SPS as well as its contribution. Comparative experiments have been established on the basis of hotel online comments, and the outcomes indicate that the proposed method not only raises the effiffifficiency in attaining a more accurate result but also assists immensely in regards to the B5G wireless communication supported by the UAV. The fifindings provide a new perspective that sentence position and its sentiment similarity with document (sentiment condition) dramatically disclose the relationship between sentence and document.

Multi-scale density detection for yarn-dyed fabrics with deformed repeat patterns

2016 ◽  
Vol 87 (20) ◽  
pp. 2524-2540 ◽  
Author(s):  
Dejun Zheng ◽  
Lingheng Wang
Keyword(s):  
Computation Time ◽  
Registration Method ◽  
Decomposition Approach ◽  
Micro Scale ◽  
Detection Model ◽  
Multi Scale ◽  
Fabric Density ◽  
Macro Scale ◽  
Dyed Fabrics ◽  
Dyed Fabric

A new method combining the characteristics of macro-scale texture repeat patterns and micro-scale interwoven yarns of fabric images was proposed for yarn-dyed fabric density detection. The method was formulated in a research framework of multi-scale image processing and analysis. Firstly, a structure–texture decomposition approach was used to extract texture information and woven pattern details from the macro-scale fabric image. Secondly, a texture unit detection model was proposed to extract the texture units and to detect the yarn skewness in these texture units. Thirdly, a simple yet effective image registration method and a lightness gradient projection method were adopted to analyze the micro-scale fabric image and obtain the yarn locations in a texture unit. Finally, the average fabric density was calculated by coupling the near-regular features of texture units and yarn locations. The experiments showed that the proposed method was effective in detecting hundreds of yarns in the fabric samples and the computation time was very reasonable.

scholarly journals Color and fastness properties of mordanted Bridelia ferruginea B dyed cellulosic fabric

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Jamiu Mosebolatan Jabar ◽  
Ademola Israel Ogunmokun ◽  
Tella Adewale Akanni Taleat
Keyword(s):  
Calcium Chloride ◽  
Metal Ion ◽  
Color Space ◽  
Fastness Properties ◽  
Color Strength ◽  
Bridelia Ferruginea ◽  
Yellow Color ◽  
Dyed Fabrics ◽  
Cellulosic Fabric ◽  
Dyed Fabric

AbstractBridelia ferruginea B dye was extracted from the bark of the tree using aqueous extraction method. Extracted dye was used to dye cellulosic (cotton) fabric in presence of 5% calcium chloride (CaCl2) or 5% alum (KAl(SO4)2·12H2O) of weight of fabric (o.w.f) as mordant. Fabric dyed without mordant was lighter in hue than metal ion mordanted dyed fabrics. The fabrics dyed in presence of calcium chloride as mordant are of deeper hue than those dyed with alum as mordant. Hence, their dye-uptake and color strength (K/S) are in the same order. K/S value of fabric dyed with alum is 43.71% higher than that without mordant and fabric dyed with calcium chloride has K/S value 51.09% higher than dyed with alum as mordant. CIEL*a*b* coordinate indicator and color space quadrant showed that those dyed fabrics without mordant and with alum as mordant are closer to yellow than red color. Those cellulosic fabrics dyed with calcium chloride as mordant are closer to red than yellow color as confirmed in colour space quadrant. Pre-mordanted dyed fabrics are of deeper color than post-mordanted dyed fabrics than meta-mordanted dyed fabrics than unmordant dyed fabric. Fastness properties of B. ferruginea B dyed cellulosic fabrics ranged from good (3) to excellent (5).

scholarly journals The Relationship between Planning Objective, Achievement and Gradual Change about Regular Examination

2014 ◽  
Vol 62 (5) ◽  
pp. 5_50-5_55
Author(s):  
Jun SAKAMOTO ◽  
Masato SUZUKI ◽  
Shunichi YAMAOKA
Keyword(s):  
Gradual Change ◽  
The Relationship ◽  
Planning Objective
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