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.

The optimization of color-prediction models for colored cotton fiber yarns

2019 ◽  
Vol 89 (19-20) ◽  
pp. 4007-4014 ◽  
Author(s):  
Liu Yang ◽  
Jing Bai ◽  
Ruiyun Zhang ◽  
Yi Ding ◽  
Feng Ji ◽  
...  
Keyword(s):  
Prediction Models ◽  
Color Difference ◽  
Color Measurement ◽  
Target Color ◽  
Color Matching ◽  
Average Color ◽  
Color Differences ◽  
Computer Aided ◽  
Colored Cotton ◽  
Color Prediction

Color matching is necessary in the manufacture of colored fiber yarns, and its accuracy is one of the main goals in computer-aided color matching. A limited number of pre-colored fibers are blended to match the target color through predicted recipes. Of the color-prediction models applied in computer-aided color matching, two common ones, Stearns-Noechel and Friele, were selected to be modified to improve the color-prediction accuracy in this paper. The models were modified in three ways, in which the pending parameters in the models were determined through statistical analysis depending on median, wavelength, and components; thus, the Stearns-Noechel model was modified to Stearns-Noechel 1, Stearns-Noechel 2, and Stearns-Noechel 3, and the Friele model was modified to Friele 1, Friele 2, and Friele 3. The six modified models were affirmed through 261 colored fiber yarns prepared from five primary cotton fibers, including two-, three-, four-, and five-primary blends. The prediction results of 261 samples showed that Stearns-Noechel 3 had the highest accuracy among the modified Stearns-Noechel models, especially for four-primary blends with an average color difference of 0.50 Color Measurement Committee (CMC) (2:1) units, whereas Friele 1 had the highest accuracy among the modified Friele models, especially for five-primary blends with an average color difference of 0.46 CMC (2:1) units. These results indicate the modified model Stearns-Noechel 3 can be used in color prediction when there are fewer than five yarn components, and Friele 1 can be used for five components with lower color differences that better meet color-matching requirements in practical production.

The Impact of Fabric Structure on the Heather Effect of Fabric Woven by Warp and Weft with Different Colors

2011 ◽  
Vol 332-334 ◽  
pp. 617-620
Author(s):  
Jian Hua Sui ◽  
Fang Xiong ◽  
Xiao Li Wen
Keyword(s):  
Measurement Instrument ◽  
Color Measurement ◽  
Fabric Structure ◽  
Hue Angle ◽  
Optoelectronic Integration ◽  
Color Mixing ◽  
The Impact ◽  
The Relationship

This article discusses the impact of fabric structure on the heather effect of fabric woven by warp and weft with different colors. The yarns with different Lightness(L), Chroma(C) and hue angle (h) are respectively used as warp and weft, and a series of eight satin weaves are attained by strengthening weave points with interval-by-point approach, and taken as test samples. L1, C1 and h1 of each sample are measured by Optoelectronic integration color measurement instrument, and make a comparison with the theoretical values of L0, C0 and h0, which are calculated by two-color mixing principle of CIE standard Chromaticity. The result shows that: the relationship between fabric color and the percentage of color threads is in accordance with Glassman principle. However, the improvement in Lightness is slightly, the decrease in Chroma is significantly, and the change in hue angle is negligible. The more severe the degree of thread flexion is, the more obvious impact on heather effect.

Color Prediction for Weft-All-Coloring Jacquard Fabric Based on the Two-Constant Kubelka-Munk Theory

2011 ◽  
Vol 418-420 ◽  
pp. 2278-2281 ◽  
Author(s):  
Hua Zhou ◽  
Chun Yan Wang ◽  
Jiu Zhou
Keyword(s):  
Color Difference ◽  
Weft Yarn ◽  
Absorption Coefficients ◽  
Scattering Coefficients ◽  
Fabric Structure ◽  
Color Prediction ◽  
Fabric Structures ◽  
Fitting Error

Weft-all-coloring jacquard fabric is smoother and plentiful. It looks stereoscopic impression. Because of complex fabric structures, color designing of jacquard fabric still remains a problem to be solved. In addition, there have not ideal colorful model to predict jacquard fabric structure. In view of the above problems, this study use four primary samples that red, yellow, green are used in weft yarn and white is used in warp to prepare many weft-all-coloring jacquard fabric of single-warp and double-weft. Though a large number of experimental color about a data-color 600 plus spectrophotometric, the theory of Kubelka-Munk absorption coefficients (K) and scattering coefficients (S) of all yarns and the color proportion of weft were calculated for jacquard fabric. The results indicate that the color difference is 1.5 CIELAB units, and the fitting error of the yarn’s proportion is about 2.1%. It shows that the two-constant Kubelka-Munk theory is suitable for predicting the color of weft jacquard fabric with all-coloring and color proportion.

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.

Reliability of the Minimum Masking Level as Outcome Variable in Tinnitus Clinical Research

2020 ◽  
Vol 29 (3) ◽  
pp. 429-435
Author(s):  
Patricia C. Mancini ◽  
Richard S. Tyler ◽  
Hyung Jin Jun ◽  
Tang-Chuan Wang ◽  
Helena Ji ◽  
...  
Keyword(s):  
Standard Deviation ◽  
High Frequency ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Outcome Variable ◽  
Reliable Estimate ◽  
Moderate Correlation ◽  
Trained Subjects ◽  
The Relationship ◽  
Minimum Intensity

Purpose The minimum masking level (MML) is the minimum intensity of a stimulus required to just totally mask the tinnitus. Treatments aimed at reducing the tinnitus itself should attempt to measure the magnitude of the tinnitus. The objective of this study was to evaluate the reliability of the MML. Method Sample consisted of 59 tinnitus patients who reported stable tinnitus. We obtained MML measures on two visits, separated by about 2–3 weeks. We used two noise types: speech-shaped noise and high-frequency emphasis noise. We also investigated the relationship between the MML and tinnitus loudness estimates and the Tinnitus Handicap Questionnaire (THQ). Results There were differences across the different noise types. The within-session standard deviation averaged across subjects varied between 1.3 and 1.8 dB. Across the two sessions, the Pearson correlation coefficients, range was r = .84. There was a weak relationship between the dB SL MML and loudness, and between the MML and the THQ. A moderate correlation ( r = .44) was found between the THQ and loudness estimates. Conclusions We conclude that the dB SL MML can be a reliable estimate of tinnitus magnitude, with expected standard deviations in trained subjects of about 1.5 dB. It appears that the dB SL MML and loudness estimates are not closely related.

The Relationship Among Job Satisfaction, Oreganizational Commitiment and Employees’ Turnover at Unilever Corporation in Nigeria

2017 ◽  
Vol 5 (1) ◽  
pp. 370
Author(s):  
Chiemeke Kingsley Chiedu ◽  
Choi Sang Long ◽  
Hapriza BT Ashar
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Organizational Performance ◽  
Employee Turnover ◽  
Turnover Intentions ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
Survey Method ◽  
Employee Turnover Intentions ◽  
The Relationship

Employee turnover has become a key performance indicator for many organizations as they struggle to retain talented employees. The negative impact of turnover on organizational performance has continually forced organizational leaders to seek better ways of retaining valuable employees. The relationship between man and work has always attracted the attention of philosophers. A major part of men’s life is spent at work. Work is social reality and social expectation to which men seem to conform. It not only provides status to the individual but also binds him to the society. An employee who is satisfied with his job would perform his duties well and be committed to his job, and subsequently to his organization. This paper examines relationship among job satisfaction, organizational commitment and employees’ turnover intentions at Unilever Corporation in Nigeria. The data for this study was collected from 117 employees currently working at Unilever Nigeria PLC using the survey method via the questionnaire. Pearson Correlation and the multiple regression analysis techniques using the SPSS version 22.0 was used for the data analysis. The findings of the study revealed that both job satisfaction and organizational commitment have significant negative relationship with employee turnover intentions. In addition, organizational commitment was revealed to have a more dorminant influence on employee turnover intentions than job satisfaction. Based on these findings, the implications, recommendations, practice, and theory were discussed.

Teachers' Attitudinal Orientation Towards the Socially Disadvantaged Students and their Education

2017 ◽  
Vol 7 (2) ◽  
pp. 47-72
Author(s):  
Anna Petr Šafránková ◽  
Tereza Humenská
Keyword(s):  
Inclusive Education ◽  
Family Environment ◽  
Self Efficacy ◽  
Pearson Correlation ◽  
Teaching Experience ◽  
Research Survey ◽  
Socially Disadvantaged ◽  
Individual Variables ◽  
Questionnaire Method ◽  
The Relationship

In the context of education of socially disadvantaged pupils and the perspective of inclusive education, the teacher occupies a significant position. The presented study focuses on the issue of education of socially disadvantaged pupils, respectively its aim is to present results of the research survey focused on the attitudinal orientation of teachers in Pardubice, Liberec and Ústí nad Labem regions (n = 122) towards the socially disadvantaged pupils. Further, its goal is to find out whether there exists a relation between the teacher's attitudinal orientation and the region, his/her age, the length of the teaching experience, his/her experience with socially disadvantaged pupils education and their self-efficacy. In order to achieve research goals the Likert-type questionnaire method was used and as a research tool Teacher self-efficacy. The obtained data were subjected to factor analysis, in order to verify the relation between individual variables ANOVA was used, further Kruskal-Wallis test, Mann-Whitney test and Pearson correlation coefficient were used. It was found out that teachers evaluate the group of socially disadvantaged pupils rather negatively, on the other hand, they evaluate the possibility to reduce or overcome their disadvantage originating from the family environment they come from rather positively and also they perceive the relationship between the school and the socially disadvantaged pupils rather positively. The teachers' attitudinal orientation is not related to the previous experience with the education of socially disadvantaged pupils, the length of their teaching experience and region where the teachers work. On the contrary, the relation between teachers' attitudinal orientation and age and self-efficacy was proved.

scholarly journals Time series analysis of the relationship between diarrhea in children and Rota 2 vaccine in the Fanteakwa District of the eastern region of Ghana

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
James Atampiiga Avoka ◽  
Elvis J. Dun-Dery ◽  
Issah Seidu ◽  
Armel N. E. Abou ◽  
Paul Twene ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Developed Countries ◽  
Seasonal Effects ◽  
Eastern Region ◽  
Least Developed Countries ◽  
R Software ◽  
Significant Difference ◽  
Severe Gastroenteritis ◽  
Access To Medical Care ◽  
The Relationship

Abstract Background Rotavirus is considered the main causal factor of severe gastroenteritis among infants and children globally. The association with severe rotavirus infection is mostly worse among the least developed countries, mainly due to inadequate access to medical care and poverty. This study was conducted to determine the seasonal effects in respect of diarrhea cases in children, the association between diarrhea cases and Rota2 vaccine in the Fanteakwa District of the Eastern Region of Ghana. Methods The study compares monthly diarrhea cases against children vaccinated with Rota2 extracted from DHIMS2 spanning May 2012 to December 2017 in Fanteakwa District. A univariate association between diarrhea cases and children vaccinated with Rota 2 was conducted using the R-software version 3.4.4 with the use of forecast, tseries and TSAPred. Pearson Correlation coefficient was also computed between monthly diarrhea cases and Rota 2 as well as lagged values of Rota 2 and Diarrhea cases. Results The study shows that February recorded the highest average number of diarrhea cases (172) over the period 2012 to 2017 with a standard deviation of 59. However, a one-way analysis of variance shows a significant difference amongst the monthly averages with an F-statistic of 0.042 and P-value of 0.064. It is observed that the correlations between each of the Rota2 doses and the lagged cases are positive, showing higher Rota2 doses a month ago ((Xt − 1),0.346 to0.735), two months ago ((Xt − 2),0.383 to 0.746), three months ago ((Xt − 3), 0.330 to 0.737) and four months ago ((Xt − 4), 0.236 to 0.723) are associated with lower diarrhea cases. The results also show that an increase in the previous two month’s Rota2 figures by 100 is associated with a significant decrease in the currently expected diarrhea cases by approximately 36. Conclusion Seasonal variations exist in the occurrence of diarrhea in children, with January recording the highest number of diarrhea cases (172). There is a relationship between episodes of diarrhea in children and Rota2 (p-value = 0.064); thus, the more children are vaccinated with Rota2, the less diarrhea cases are recorded. Diarrhea cases in Fanteakwa district are generally low, except 2013 and 2016 where the cases are higher than the rest of the other years.

scholarly journals A comparison of the relationship between parental efficacy and social support systems of single teen mothers across different family forms in South African low socioeconomic communities

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Samantha L. Coert ◽  
Babatope O. Adebiyi ◽  
Edna Rich ◽  
Nicolette V. Roman
Keyword(s):  
Social Support ◽  
South Africa ◽  
Parenting Practices ◽  
Support Systems ◽  
Pearson Correlation ◽  
Self Report ◽  
Teen Mothers ◽  
Parental Efficacy ◽  
Social Support Systems ◽  
The Relationship

Abstract Background Teenage parenting is recognised as one of the greatest health and social problems in South Africa. Research in South Africa has shown that by the age of 18 years, more than 30% of teens have given birth at least once. Teen mothers may feel disempowered because they are ‘othered’ and consequently, may develop forms of resistance which in most cases may inhibit their ability to parent. Social support is therefore, an imperative intervention for successful teen parenting but this is not clearly understood in South Africa. This study aimed to compare the relationship between parental efficacy and social support systems of single teen mothers across different family forms. Methods A quantitative methodology with a cross-sectional comparative correlation design was conducted with 160 single teen mothers who resided with a family in a low socio-economic community. The participants completed a self-report questionnaire that comprised of the Social Provisions Scale, and the Parenting Sense of Competence scale. Descriptive statistics and Pearson correlation were used to investigate the data. Results A significant positive relationship between social support and parental efficacy was found. When comparing different family forms, single teen mothers’ residing with one parent reported greater levels of parental efficacy and single teen mothers’ residing with two parents, re-counted high levels of social support under the subscales; guide, reliable and nurture. However, when computing for guardian-skip generation, results show that there is no significant relationship between parental efficacy and social support. As well as no correlation across subscales of social support. Conclusion The positive relationships between social support and parental efficacy are important for planning and applying parenting programmes amongst single teen mothers and facilitating awareness regarding the importance of social support and family forms when considering parenting practices.

A novel technique for modeling friction behavior in knitted fabric simulation

2017 ◽  
Vol 29 (6) ◽  
pp. 776-792
Author(s):  
Vajiha Mozafary ◽  
Pedram Payvandy
Keyword(s):  
Friction Coefficient ◽  
Uniform Distribution ◽  
Friction Force ◽  
Experimental Result ◽  
Knitted Fabric ◽  
Friction Behavior ◽  
Content Type ◽  
Novel Technique ◽  
Fabric Structure ◽  
Fabric Surface

Purpose Fabric-object friction force is a fundamental factor in cloth simulation. A large number of parameters influence the frictional properties of fabrics such as fabric structure, yarn structure, and inherent properties of component fibers. The purpose of this paper is to propose a novel technique for modeling fabric-object friction force in knitted fabric simulation based on the mass spring model. Design/methodology/approach In this technique, unlike other studies, distribution of friction coefficient over the fabric surface is not uniform and depends on the fabric structure. The main reason for considering non-uniform distribution is that in various segments of fabric, contact percent of fabric-object is different. Findings The proposed technique and common methods based on friction coefficient uniform distribution are used to simulate the frictional behavior of knitted fabrics. The results show that simulation error values for proposed technique and common methods are 2.7 and 9.4 percent as compared with the experimental result, respectively. Originality/value In the existing methods of the friction force modeling, the friction coefficient of fabric is assumed uniform. But this assumption is not correct because fabric does not have an isotropic structure. Thus in this study, the friction coefficient distribution is considered based on fabric structure to achieve more of realistic simulations.

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