Daoling Chen and Pengpeng Cheng
In order to help companies better grasp the perceptual needs of consumers for patterns, so as to carry out more accurate product pattern development and recommendation, this…
Abstract
Purpose
In order to help companies better grasp the perceptual needs of consumers for patterns, so as to carry out more accurate product pattern development and recommendation, this research develops a product pattern design system based on computer-aided design.
Design/methodology/approach
First, use the Kansei engineering theory and method to obtain the user's perceptual image, and deconstruct and encode the pattern based on the morphological analysis method, then through the BP neural network to construct the mapping relationship between the user's perceptual image and the pattern design elements, and finally calculate and find the corresponding design code combination according to the design goal to guide the pattern design.
Findings
Taking costume paper-cut patterns as an example, the feasibility of this system is verified, the design system can well reflect the user's perceptual image in the pattern design and improve the efficiency of pattern customization service.
Originality/value
Compared with the traditional method that relies on the designer's personal experience to propose a design plan, this research provides scientific and intelligent design methods for product pattern design.
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Pengpeng Cheng, Daoling Chen and Jianping Wang
The purpose of this paper is to improve the prediction accuracy of the body shape prediction model and provide some reference value for the design of underwear.
Abstract
Purpose
The purpose of this paper is to improve the prediction accuracy of the body shape prediction model and provide some reference value for the design of underwear.
Design/methodology/approach
The body size data of 250 male youths is measured to analyze the body shape of the lower body. And there is a total of 56 measurement items, which are clustered by GA-BP-K-means, K-means, optimal segmentation method for ordered samples, wavelet coefficient analysis, regression analysis and Naive Bayes Algorithm. Finally, a test male sample of an unknown body shape was clustered to verify the superiority of the GA-BP-K-means.
Findings
This paper presented the key factors for body shape clustering, and experimental results have shown that the GA-BP neural network model is higher in speed and precision than other algorithm prediction models.
Originality/value
It was clarified which is the key to body shape clustering. At the same time, the GA-BP-K-means algorithm can promote the popularization and application of the prediction model in body shape clustering.
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Daoling Chen and Pengpeng Cheng
The purpose of this paper is to study the style design methods of professional female vests that meet the emotional needs of consumers.
Abstract
Purpose
The purpose of this paper is to study the style design methods of professional female vests that meet the emotional needs of consumers.
Design/methodology/approach
Using the theory of kansei engineering as a guide to screen representative samples of female professional vests and relevant emotional vocabularies of styles, through morphological analysis, style design elements of female professional vests are extracted, the fifth-order semantic difference questionnaire was used to establish the perceptual assessment matrix for design elements, the correlation analysis method and multiple linear regression analysis were used to analyze the results of the perceptual evaluation of the sample, find out the relationship between the perceptual vocabulary and design elements of professional female vest styles, and establish a regression model, finally, it is verified by random samples of the market, so as to guide the development of new products.
Findings
The seven design elements extracted from professional female vest styles have an impact on consumer perception, by using a linear analysis method, the correspondence between perceptual perception of consumers and style design elements can be quantified and a model can be established to accurately predict consumers’ perceptual intentions.
Originality/value
The application of perceptual engineering in the style design of professional female vests provides a new idea for the design of clothing styles. It helps garment companies and designers to determine the development direction of professional woman’s vest styles, while the research results provide design reference for other products.
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Pengpeng Cheng, Daoling Chen and Jianping Wang
For comfort evaluation of underwear pressure, this paper proposes an improved GA algorithm to optimize the weight and threshold of BP neural network, namely PSO-GA-BP neural…
Abstract
Purpose
For comfort evaluation of underwear pressure, this paper proposes an improved GA algorithm to optimize the weight and threshold of BP neural network, namely PSO-GA-BP neural network prediction model.
Design/methodology/approach
The objective parameters of underwear, body shape data, skin deformation and other data are selected for simulation experiments to predict the objective pressure and subjective evaluation in dynamic and static state. Compared with the prediction results of BP neural network prediction model, GA-BP neural network prediction model and PSO-BP neural network prediction model, the performance of each prediction model is verified.
Findings
The results show that the BP neural network model optimized by PSO-GA algorithm can accelerate the convergence speed of the neural network and improve the prediction accuracy of underwear pressure.
Originality/value
PSO-GA-BP model provides data support for underwear design, production and processing and has guiding significance for consumers to choose underwear.
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Pengpeng Cheng and Daoling Chen
The purpose of this paper is to analyze the influence of underwear on the microenvironment of human clothing.
Abstract
Purpose
The purpose of this paper is to analyze the influence of underwear on the microenvironment of human clothing.
Design/methodology/approach
Based on the basic laws of energy and mass conservation, the paper combined the theory of heat and mass transfer to establish the simulation of the influence of underwear on human thermal reaction in microclimate and prediction model of human thermal reaction law.
Findings
The impact on the microenvironment affected by tighter underwear is less than the effect of loose underwear and computational flow dynamics (CFD) can accurately predict the thermal reaction parameters’ values of the human body.
Originality/value
It can be effectively used for the prediction of heat exchange between human body and environment in high-temperature environment and human thermophysiological parameters, and overcomes the individual differences of human experiments and the danger and repeatability of high-temperature environmental experiments.
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Pengpeng Cheng and Daoling Chen
The purpose of this paper is to analyze the fit and thermal and moisture comfort factors to provide some reference value for the functional design of underwear.
Abstract
Purpose
The purpose of this paper is to analyze the fit and thermal and moisture comfort factors to provide some reference value for the functional design of underwear.
Design/methodology/approach
The body size data of 100 male youths are measured to analyze the body shape of the lower body. Based on the complete body size, the authors selected the matching underwear, and obtained the relevant data for the mathematical model of thermal and moisture using Grey correlation analysis method.
Findings
In allusion to the defect of fit comfort and thermal-moisture comfort of the crotch, this paper presented a mathematical model, and experimental results showed that breathable fabric and breathable volume are the key factors.
Originality/value
It was clarified that which is the key to the thermal and moisture comfort. At the same time, male lower body characteristics index is clear.
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In order to study the static and dynamic comfort of tight sportswear in winter, the subjective comfort was aimed to be evaluated by collecting sensory data such as humidity…
Abstract
Purpose
In order to study the static and dynamic comfort of tight sportswear in winter, the subjective comfort was aimed to be evaluated by collecting sensory data such as humidity feeling, cold feeling and other perceptions. In this paper, the experiment was divided into standing, squatting, jumping, jogging, walking and so on.
Design/methodology/approach
Through particle swarm optimization-cuckoo search model, the sensory factors that affect the overall comfort were optimized, and it was found that there were great differences in the overall comfort factors under different motions. Then, analytic hierarchy process was used to sort the optimized sensory indicators in each experimental stage, and the influence degree of sensory indicators was studied. Finally, by the long short-term memory (LSTM) model, taking comfort senses of standing, squatting, jumping and jogging as input parameters, and regarding comfort senses of walking, lifting legs and resting as output parameters, the prediction model was founded.
Findings
The results showed that there were certain differences between the prediction value and the real subjective evaluation value, but most of the predicted values were consistent with the real values on the sensory level, and the overall prediction level was good, which meant that the LSTM model had more accurate prediction ability for subjective evaluation and could be extended to other sports.
Originality/value
The research results could provide scientific methods for the design of tight-fitting sportswear in winter.
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Jingfeng Li, Jiguang Wang and Wenbin Fan
China has long been dedicated to introducing the Western management ideas to the local enterprise practice. But the situation has changed since the financial crisis, and the China…
Abstract
Purpose
China has long been dedicated to introducing the Western management ideas to the local enterprise practice. But the situation has changed since the financial crisis, and the China model has become a hot word with its fast recovery from crisis. Moreover, Chinese traditional culture has become increasingly popular. Yin and yang are the most familiar Chinese philosophical terms to Western minds, and also the core concept of Chinese Taoist philosophy. The purpose of this paper is to analyze how the yin yang or lao‐tzu influences a firm's core competence and performance, and to demonstrate that the Taoist‐oriented Chinese culture remains meaningful and in many situations powerful in enterprise practice.
Design/methodology/approach
A case study is carried out from Town Star Ltd, established in 2001, and located in Linfen city, Shanxi province, China, a city which topped the list of the world's most polluted cities. It is an integrated joint‐stock company, specializing in coal coking chemical industry, gardening, logistics and technology development. Based on the humanized management doctrine, the company has formed the 5S management model which boosts its rapid and sustainable development. It coped well in major junctures such as industry restructuring and transferring, financial crisis, etc. Five key dimensions of the yin and yang, which were applied to the leader's daily behaviors and management style, are: Wu‐wei (inaction), Wu (emptiness), hardness with softness, moderation and He‐xie (harmony). First, this paper built a dynamic company growth model based on this philosophy which enhanced the core competitiveness effectively by emotional management innovation and personalized HRM, among which its pivotal regulator of variables is just yin yang conversion degree. Then an approach is provided to validate the model with empirical data collected from the years 2001‐2010 (2001‐2005, 2006‐2008, 2009‐2010) of Town Star Ltd.
Findings
It is demonstrated that yin yang ideology embedded in the company growth model organically is an important means to increase marginal benefit. In practice, the firm with yin yang philosophical ideology would shape a management paradigm which combined rules and human nature appropriately to a family‐oriented business atmosphere. Based on the above philosophical wisdom, Town Star Ltd has harvested good economic and social benefits, strong core competence through the elaborately constructed unique management model and harmonious humanity environment.
Originality/value
This paper opens an avenue for indigenous firms, as a framework for guiding management research and practice in coping with the post‐crisis era. In addition, it is expected to attract more attention from scholars, entrepreneurs both in China and in the rest of the world, to contribute to knowledge creation in Chinese management studies.