Evaluation and Prediction of Dynamic Moisture Comfort Property of Fine Denier Fiber Fabric

2010 ◽  
Vol 160-162 ◽  
pp. 866-871
Author(s):  
Kai Yang ◽  
Ming Li Jiao ◽  
Wei Yuan Zhang
Keyword(s):  
Prediction Models ◽  
Grey System Theory ◽  
Grey System ◽  
Hydrophobic Property ◽  
Comprehensive Index ◽  
Comfort Property ◽  
Series Of Experiments ◽  
Time Changes ◽  
The Relationship ◽  
Fiber Fabric

Fine denier fiber fabric has unique wicking effect and good hydrophobic property, which can keep dry and moisture comfortable when people are in heavy and continued sweat. This paper studied the dynamic moisture comfort property of fine denier fiber fabric compared with conventional fiber fabrics. Firstly, a series of experiments was performed on studying the dynamic moisture transferring procedure and evaluating moisture comfort property of fine denier fiber fabrics in two different environmental conditions, which were the most comfortable condition and an extremely uncomfortable condition for humans. Then, by measuring the real time changes of relative humidity in inner and outer surfaces of test fabrics, fabrics’ dynamic comprehensive index was obtained to characterize fabrics’ dynamic moisture comfort property. Finally, grey system theory was introduced to establish prediction models that could describe the relationship between fabric’s static parameters and dynamic comprehensive index. Results show that fine denier fiber fabric has better moisture comfort property than conventional fiber fabrics.

Study on Dynamic Moisture Comfort Property of Fabric in Different Environmental Temperature Conditions

2011 ◽  
Vol 175-176 ◽  
pp. 529-533
Author(s):  
Kai Yang ◽  
Ming Li Jiao ◽  
Ying Xiong ◽  
Wei Yuan Zhang
Keyword(s):  
Environmental Temperature ◽  
Prediction Models ◽  
Grey System Theory ◽  
Grey System ◽  
Temperature Conditions ◽  
Comprehensive Index ◽  
Comfort Property ◽  
Time Changes ◽  
Degree Of Association ◽  
High Degree

Moisture handling property of fabric has been regarded as a major factor in the comfort performance of clothing in normal use. Especially in different environmental temperature conditions, fabric’s moisture comfort property has different manifestation. In this paper, a series of experiments and analyses were performed on studying the dynamic moisture transferring procedure and evaluating moisture comfort property of fabric under different environmental temperature conditions. By Textile-Microclimate Measuring Instrument, five different fiber fabrics’ dynamic experiments were performed in different environmental temperature conditions. By measuring the real time changes of relative humidity in inner and outer surfaces of test fabrics, fabrics’ dynamic comprehensive index was obtained to characterize fabrics’ dynamic moisture comfort property under different temperature conditions. Finally, grey system theory was introduced to establish models that could describe the relationship between the static parameters and the dynamic comprehensive index. The grey interrelationship analysis was performed firstly to find out the static parameters that have high degree of association with dynamic comprehensive index. And then the grey mathematics modeling method was performed to establish models predicting the dynamic comprehensive index using static parameters. In three different temperature conditions, three different prediction models were built and high predictive precision was obtained.

Moisture Comfort Property of Fine Denier Polypropylene Fiber in Different Environmental Temperature Conditions

2012 ◽  
Vol 468-471 ◽  
pp. 2132-2135
Author(s):  
Kai Yang ◽  
Ming Li Jiao ◽  
Hong Yan Tu
Keyword(s):  
Environmental Temperature ◽  
Polypropylene Fiber ◽  
Grey System Theory ◽  
Grey System ◽  
Temperature Conditions ◽  
Comprehensive Index ◽  
Vertical Wicking ◽  
Dynamic Experiments ◽  
Comfort Property ◽  
Fiber Fabric

Moisture handling property of clothes using fiber is an important factor determininig clothes comfort property. In this paper, the moisture comfort property of fine denier polypropylene fiber fabric in different environmental temperature conditions was studied. By Textile-Microclimate Measuring Instrument, five kinds of test fabrics' dynamic experiments were performed in four different environmental temperature conditions. And fabrics' dynamic comprehensive index was obtained to characterize fabrics' dynamic moisture comfort property. Then, grey system theory was introduced to establish models that could describe the relationship between the static parameters and the dynamic comprehensive index. Results show that the dynamic moisture comfort property of fine denier polypropylene fiber fabric is the best. And fabrics with lower thickness, lower weight, and higher vertical wicking height will be more moisture-comfortable.

scholarly journals An Improved Nonequidistant Grey Model Based on Simpson Formula and Its Application

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhiming Hu ◽  
Chong Liu
Keyword(s):  
Prediction Accuracy ◽  
Prediction Models ◽  
Prediction Performance ◽  
Grey System Theory ◽  
Grey Model ◽  
Grey Prediction ◽  
Grey System ◽  
Proposed Model ◽  
Grey Models ◽  
High Prediction

Grey prediction models have been widely used in various fields of society due to their high prediction accuracy; accordingly, there exists a vast majority of grey models for equidistant sequences; however, limited research is focusing on nonequidistant sequence. The development of nonequidistant grey prediction models is very slow due to their complex modeling mechanism. In order to further expand the grey system theory, a new nonequidistant grey prediction model is established in this paper. To further improve the prediction accuracy of the NEGM (1, 1, t2) model, the background values of the improved nonequidistant grey model are optimized based on Simpson formula, which is abbreviated as INEGM (1, 1, t2). Meanwhile, to verify the validity of the proposed model, this model is applied in two real-world cases in comparison with three other benchmark models, and the modeling results are evaluated through several commonly used indicators. The results of two cases show that the INEGM (1, 1, t2) model has the best prediction performance among these competitive models.

Study on the Relationship between Soil Nutrients and the Corn Yield Based on Grey System Theory

2015 ◽  
Vol 733 ◽  
pp. 391-394
Author(s):  
Xing Mei Xu ◽  
Li Ying Cao ◽  
Jing Zhou
Keyword(s):  
System Theory ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Grey System Theory ◽  
Available Phosphorus ◽  
Corn Yield ◽  
Grey System ◽  
Correlation Degree ◽  
Soil Nutrient Content ◽  
The Relationship

Take the test zone 110 sampling plots of soil nutrient content as the research data, to study the correlation between the soil nutrient content and the corn yield. It used the grey system theory to analysis the correlation between the content of soil nutrient, and established GM (1, N) prediction model. Soil nutrient correlation degree analysis showed that the correlation coefficient of available phosphorus and available potassium were 0.4742, 0.4492, it has a significant effect on the corn yield, the average prediction error of the GM (1, N) model was 7.38%. The model reflected the relationship between soil nutrient content and the corn yield well; it can be used to predict the yield test area.

Applying grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries

2016 ◽  
Vol 6 (2) ◽  
pp. 143-168 ◽  
Author(s):  
Wuwei Li
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
High Tech ◽  
Grey System ◽  
Content Type ◽  
Relational Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
Grey Relational ◽  
The Relationship

Purpose – For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations in the measures of industrial characteristics and using traditional statistical techniques. The purpose of this paper is to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries using grey system theory. The research results show that grey system theory is suitable to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Design/methodology/approach – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises. First, based on the data on Chinese large and medium-sized high-tech enterprises for the period of 2011-2013, this paper applies grey relational analysis to identify the relatively most important indexes on affecting innovation capabilities of Chinese high-tech enterprises. Second, based on the results from grey relational analysis, this study draws a ranking of the five Chinese high-tech industries in terms of innovation capabilities by grey decision making. Finally, based on the results from grey decision making, this study applies GM (0, N) model to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Findings – The results of this study show that in the evaluation indexes system of innovation capabilities of high-tech enterprises, personnel in R & D institutions, R & D personnel, internal expenditure on R & D, expenditure on new product development, expenditure on technology imports, expenditure on technology renovation, and expenditure on technology assimilation and absorption are relatively most important elements affecting innovation capabilities of Chinese high-tech enterprises. In addition, the two top ranking on innovation capabilities are manufacture of electronic equipment and communication equipment, and manufacture of medicines. At last, the findings indicate that in the measures of industrial characteristics, the three top ranking on affecting innovation capabilities of Chinese high-tech enterprises are R & D intensity, technology absorption intensity of indigenous high-tech enterprises and foreign-invested enterprises size. The opening level is in the middle position. Technology intensity, market concentration, and state-owned enterprises size are the three bottom ranking on affecting innovation capabilities of Chinese high-tech enterprises. Research limitations/implications – This study has some limitations. First, this study is limited to Chinese high-tech industries. The findings may not be applicable to other countries’ high-tech industries. Further studies with other countries’ high-tech industries could be extended and examined how industrial characteristics affect innovation capabilities of the firms in these industries. Second, the measures of industrial characteristics proposed in this study are somewhat theoretically weak. In the future, the authors will further improve the current analysis, and develop the measures of industrial characteristics. Finally, with the advent of the more data with the consistent statistical coverage released by China’s National Bureau of Statistics during the more continuous years, other methods, such as panel data regression model in econometrics could be used to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. By then, the scholars can compare the results from grey system theory and those from panel data regression model in econometrics. Practical implications – Appropriate industrial environment is favorable for Chinese high-tech enterprises to feed their innovation capabilities. Scientific evaluation on the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries is of great significance for Chinese high-tech enterprises in exerting technological catch-up and promoting their competitive advantage. The purposed measures of industrial characteristics and innovation capabilities of high-tech enterprises in this paper, and combined methodology based on grey system theory could be applied to evaluate the relationship between industrial characteristics and innovation capabilities of Chinese high-tech enterprises. Originality/value – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises, and uses grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.

Study on the Effect of Cotton Fabric's Weight on its Dynamic Heat and Moisture Comfort Property

2011 ◽  
Vol 332-334 ◽  
pp. 763-766
Author(s):  
Kai Yang ◽  
Ming Li Jiao ◽  
Zheng Wang
Keyword(s):  
Relative Humidity ◽  
Cotton Fabrics ◽  
Measuring Instrument ◽  
Inner Surface ◽  
Comfort Property ◽  
Series Of Experiments ◽  
The Difference ◽  
Time Changes ◽  
Heat And Moisture ◽  
Insulation Performance

A series of experiments was performed on studying the dynamic heat and moisture transferring procedure and evaluating heat and moisture comfort properties of different weight cotton fabrics. In experiments, the real time changes of temperature and relative humidity in inner and outer surfaces of different cotton fabrics were measured using self-made textile-microclimate measuring instrument. Then, the temperature and relative humidity in inner surface of fabric, and the difference of temperature and relative humidity between inner and outer surfaces of fabric were analyzed. Finally, in order to evaluate cotton fabric's dynamic heat comfort property and dynamic moisture comfort property comprehensively, two dynamic values were introduced to make evaluation. Results show that as the increase of cotton fabric's weight, fabric will have better thermal insulation performance and worse moisture permeability performance.

scholarly journals Study on the performance evaluation and prediction model of self-compacting concrete in steel shell immersed tube

2021 ◽  
Vol 248 ◽  
pp. 03075
Author(s):  
Song Shenyou ◽  
Yu Fang ◽  
Chen Wenguang ◽  
Xu Jinjun ◽  
Zhao Jiaqi ◽  
...  
Keyword(s):  
Prediction Models ◽  
Grey System Theory ◽  
Steel Shell ◽  
Support Vector ◽  
Good Prediction ◽  
Grey System ◽  
Self Compacting Concrete ◽  
Good Prediction Accuracy ◽  
Sample Test ◽  
Target Performance

In order to study the quality control and evaluation methods of self-compacting concrete (SCC) pumping process in Shenzhen-Zhongshan Bridge and similar projects, sample test is performed on self-compacting concrete mixture collected from the pumping field of the E1-E4 steel shell immersed tube; Then a database base on relationship between the variation parameters and the target performance is established. On this basis, the Grey system theory is adopted to analyze the parameter sensitivity of the SCC pumping performance to the different kinds of variables. The results show that variables are related to target performance and some of the variables have a significant influence. Using the powerful data mining capability of support-vector machine and Bayesian statistical inference in the case of uncertain exact mathematical relationship between independent variables and dependent variables, implicit and explicit prediction models of variation of SCC pumping performance are respectively established by pumping distance, number of elbows, pumping time and environmental temperature as the control parameters. Finally, the comparisons between the measured data and calculation result prove that both models have good prediction accuracy and stability.

Evaluation Study of Grounding Grids Based on Gray Clustering

2013 ◽  
Vol 433-435 ◽  
pp. 550-554
Author(s):  
Jiang Xia Cui ◽  
Jing Yi Du
Keyword(s):  
High Reliability ◽  
Emergency Situation ◽  
Evaluation Study ◽  
Grey System Theory ◽  
Grey System ◽  
Safe Operation ◽  
Grounding Grid ◽  
Grey Clustering ◽  
Grounding Grids ◽  
The Relationship

Grounding grid is an important device which ensures the safe operation of substation. Its corrosion is influenced by various factors and the influence of these factors is varied. It is difficult to infer the relationship between the corrosion rate and its influencing factors, so this paper apply the grey clustering method of grey system theory in the grounding grid corrosion and gives an application instance and realizes it by MATLAB. The results demonstrate the practicality and effectiveness of the method mentioned in this paper. This method can provide reference for high reliability for related departments in the implementation of emergency situation due to grounding grid corrosion.

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