• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1343-1346
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• 2005

In the cold rolling mill, coil breakage that generated in rolling process makes the various types of troubles such as the degradation of productivity and the damage of equipment. Recent researches were done by the mechanical analysis such as the analysis of roll chattering or strip inclining and the prevention of breakage that detects the crack of coil. But they could cover some kind of breakages. The prediction of Coil breakage was very complicated and occurred rarely. We propose to build effective prediction modes for coil breakage in rolling process, based on data mining model. We proposed three prediction models for coil breakage: (1) decision tree based model, (2) regression based model and (3) neural network based model. To reduce model parameters, we selected important variables related to the occurrence of coil breakage from the attributes of coil setup by using the methods such as decision tree, variable selection and the choice of domain experts. We developed these prediction models and chose the best model among them using SEMMA process that proposed in SAS E-miner environment. We estimated model accuracy by scoring the prediction model with the posterior probability. We also have developed a software tool to analyze the data and generate the proposed prediction models either automatically and in a user-driven manner. It also has an effective visualization feature that is based on PCA (Principle Component Analysis).

• Journal of Environmental Science International
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• v.25 no.4
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• pp.543-556
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• 2016

Sangju, a city in the North Gyeongsang Province, is well known as "Three Whites", representing its three main agricultural products: rice, silkworm, and dried persimmons. Therefore, development of a variety of dishes or products that can promote the consumption of dried persimmons is an urgent requirement for this region. This study was designed to provide fundamental information for revitalizing community-based specialized agriculture through scientific inquiry into medicinal foods and to develop a medicinal food menu based on the results of previous research and pre-survey. The pre-survey results and incompatibility revealed that palatability influenced people's decision to consume dried persimmons far more than pharmacological functionality. Therefore, palatability played an important part in the development of dried persimmon puddings with acceptable texture. These dishes are in high demand as they suit the tastes of variety of consumers. The inclusion of various additives lowered the sugar content in the developed foods and made the products alkalescent (pH > 7), thereby improving functionality. Unique color and flavor additives were also important criteria that determined the selection attributes of the developed medicinal foods. In addition, the additives had a positive effect on the fragrance and texture of the foods. In conclusion, the results suggested that use of additives provides significant advantages in promoting the consumption of Sangju-dried persimmons by improving both functionality and palatability.

• Culinary science and hospitality research
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• v.23 no.8
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• pp.128-136
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• 2017

This study was conducted to identify the relationship among various service quality clues, brand trust, brand distinctiveness and revisit intention focusing on fast-food restaurant consumers. Using online questionnaires tool in South Korea, a total of 450 questionnaires were distributed and 390 participants were used for further statistical analysis through SPSS 21.0 and AMOS 21.0 for Windows. Four service quality factors (menu, interior, exterior, staff) were extracted from twelve questions. According to the result of this study, several service quality factors of fast-food restaurants' have positive effects on brand trust and distinctiveness. Specifically, staff and menu and exterior were significant predictors of brand trust, and staff and menu of fast-food were critical antecedents of brand distinctiveness. In addition, the brand trust has positive influence on brand distinctiveness as well as revisit intention. Although there are many studies which proved the relationships among various selection attributes and other outcome variables such as brand loyalty or image, little research explained the relationships among service quality factors of fast-food restaurants, brand trust, brand distinctiveness, and revisit intention. Therefore, present study will contribute to provide significant results and some practical implications in both the fast-food restaurant industry and academic research.

• Korean journal of food and cookery science
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• v.21 no.5
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• pp.637-646
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• 2005

The objectives of this study were, 1) to investigate the perception and preference for Japanese chain restaurants due to demographics and consumption behaviors, and 2) to research improvements for Japanese chain restaurants according to the customers' dissatisfaction. Frequency analysis and one-way ANOVA were used to analyze the data. Three hundred questionnaires were distributed and 254 were returned(84.66%). The customers' perception and preference about Japanese chain restaurants were significantly related with each other. The differences of perception and preference due to demographics and consumption behaviors were significant. The most dissatisfied selection attributes were price, number of Korean dishes, number of branch offices, and advertisements, in order. From examining the progressive circmnstances of Korean food-service industry and the social trends toward a preference for healthy, special ethnic food and dishes for diet control and high protein-low fat, it is apparent that food-service businesses related to Japanese food have the potential for success. The results of this study should provide valuable information for administrators and managers in the hospitality industry.

• Elastomers and Composites
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• v.52 no.1
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• pp.48-58
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• 2017

Thermoplastic elastomers (TPEs), a unique class of polymers, combine the processing ease of thermoplastics with the advanced properties of thermoset rubbers. TPEs can be remelted several times without any significant loss of properties, and can be molded into complex shapes using conventional processing equipment. Due to their characteristics, TPEs are ideal for use in a variety of applications in the automotive field. Although the TPE market of the Republic of Korea is currently at its niche, the increasing manufacturing push from major companies is expected to open up multiple opportunities for these products in the automotive sector. This manuscript highlights a detailed technological trend of the global automotive thermoplastic elastomers market.

• Plant Biotechnology Reports
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• v.5 no.1
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• pp.89-103
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• 2011

Two rice varieties, viz. Nonabokra and Pokkali, have been evaluated for their responses to salinity in terms of some physiological and biochemical attributes. During the exposure to salinity (200 mM concentration of sodium chloride for 24, 48, and 72 h), a significant increase in sodium was recorded which was also concomitant with the changes of other metabolic profiles like proline, phenol, polyamine, etc. The protein oxidation was significantly increased and also varied between the two cultivars. The changes in activities of anti-oxidative enzymes under stress were significantly different to the control. The detrimental effects of salinity were also evident in terms of lipid peroxidation, chlorophyll content, protein profiles, and generation of free radicals; and these were more pronounced in Pokkali than in Nonabokra. The assessment and analysis of these physiological characters under salinity could unravel the mechanism of salt responses revealed in this present study and thus might be useful for selection of tolerant plant types under the above conditions of salinity.

• Fashion & Textile Research Journal
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• v.16 no.5
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• pp.766-775
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• 2014

This study is aimed to research the actual wearing condition of ballet dancewear of girls aged between 2 and 6 years on its design, size and fit. Survey data were collected from 171 mothers who have a girl learning ballet dance. The questionnaire was composed with ballet education, ballet dancewear purchasing, preference on design, size selection, and fitting. The collected data were analyzed with frequencies statistics, ${\chi}^2$-test, ANOVA using the SPSS WIN 20.0. The results are as follows; High rate of respondents said that the purpose of ballet education was for good body balance, leisure activity, and height growth. The main method of purchase was online shopping. The design, price, size and fit were identified as important ballet dancewear attributes for girls. The most preferred style of ballet dancewear were 'short sleeve skirted leotard' and 'camisole skirted leotard' which look like dress. The respondents reported slight satisfaction with size and fit, price, convenience in action, sewing and durability. The most preferred sizing system was code by height but any ballet dancewear makers don't use code by height. Therefore it is difficult for consumers to select size. Retailers and manufacturers could potentially use the results of this study to improve the sizing system and fit for children's ballet dancewear.

• The Research Journal of the Costume Culture
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• v.9 no.6
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• pp.830-841
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• 2001

The purpose of my study is to provide some information on clothing for the handicapped with special needs. So I have designed clothes for the handicapped to provide some solutions for their clothing problems. These clothing designs for crutch and wheelchair users were based on solutions proposed by many researchers. The number of handicapped has been increasing gradually for years, especially the physically handicapped. Although they make use of many instruments for ease of movements and other physical conditions, most of the handicapped generally use crutches and wheelchairs. So I designed clothing for the crutch and wheelchair users. In order to ease problems in dressing and undressing, when using the crutch and wheelchair, various physical attributes of clothing should be considered: (1) Selection of fabric, (2) construction and location of the opening, (3) type and location of fastenings, and (4) design of garments for comfort and ease of movement. Clothing should also be able to satisfy psychological needs related to attractive appearance. My designs have proposed seven items of clothing. These include a cape-coat, over-blouse, one-piece dress and an pants for the crutch users. Also, a shirts, pants, and wheelchair wrap for wheelchair users will be displayed.

• The Journal of Information Systems
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• v.14 no.1
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• pp.41-65
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• 2005

The credit ration is a significant area of financial management which is of major interest to practitioners, financial and credit analysts. The components of credit rating are identified decision models are developed to assess credit rating an the corresponding creditworthiness of firms an accurately ad possble. Although many early studies demonstrate a priori which of these techniques will be most effective to solve a specific classification problem. Recently, a number of studies have demonstrate that a hybrid model integration artificial intelligence approaches with other feature selection algorthms can be alternative methodologies for business classification problems. In this article, we propose a hybrid approach using rough set theory as an alternative methodology to select appropriate attributes for case-based reasoning. This model uses rough specific interest lies in lthe stable combining of both rough set theory to extract knowledge that can guide dffective retrevals of useful cases. Our specific interest lies in the stable combining of both rough set theory and case-based reasoning in the problem of corporate credit rating. In addition, we summarize backgrounds of applying integrated model in the field of corporate credit rating with a brief description of various credit rating methodologies.

• Journal of KIISE:Databases
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• v.41 no.4
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• pp.217-225
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• 2014

Analysis of social media such as Twitter can yield interesting perspectives to understanding human behavior, detecting hot issues, identifying influential people, or discovering a group and community. However, it is difficult to gather the data relevant to specific topics due to the main characteristics of social media data; data is large, noisy, and dynamic. This paper proposes a new algorithm that dynamically selects the seed nodes to efficiently collect tweets relevant to topics. The algorithm utilizes attributes of users to evaluate the user influence, and dynamically selects the seed nodes during the collection process. We evaluate the proposed algorithm with real tweet data, and get satisfactory performance results.