• Journal of Korean Institute of Industrial Engineers
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• v.42 no.6
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• pp.370-376
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• 2016

Manufacturing data analysis and its applications are getting a huge popularity in various industries. In spite of the fast advancement in the big data analysis technology, however, the manufacturing quality data monitored from the automated inspection system sometimes is not reliable enough due to the complex patterns of product quality. In this study, thus, we aim to define the level of trusty of an automated quality inspection system and improve the reliability of the quality inspection data. By correlation analysis and feature selection, this paper presents a method of improving the inspection accuracy and efficiency in an SVM-based automatic product quality inspection system using thermal image data in an auto part manufacturing case. The proposed method is implemented in the sealer dispensing process of the automobile manufacturing and verified by the analysis of the optimal feature selection from the quality analysis results.

• Journal of Fashion Business
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• v.20 no.3
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• pp.54-67
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• 2016

The purpose of this study was to investigate the The effect of fashion consumer's need for uniqueness in their clothing purchase behavior and switching intention. A total of 332 cases were included as the subjects of this study and a survey method was used. The data were analyzed by factor analysis, reliability analysis, t-test and multiple regression analysis using the SPSS 22.0 statistical program. The results were as follows. 1. The 3 dimensions (creative choice, unpopular choice, and avoidance of similarity) were extracted from the consumer's need for uniqueness and consumer divided high uniqueness group, middle uniqueness group, low uniqueness group. 2. The 3 factor (esthetic, functional, practical) were extracted from the clothing selection criteria. The three group had a significant difference in clothing selection and switching intention. Aesthetic factor and practical factor were the highest in high uniqueness group. 3. The need for uniqueness has influence on the aesthetic factor and practical factor. The creative choice factor had positive effect on the aesthetic and practical factor, yet unpopular choice factor had negative effect on the practical factor. The need for uniqueness and aesthetic factor has positive influence on brand switching intentions. 4. There was difference in unpopular choices factor by gender. A monthly average expenditure on fashion products had a significant difference in three kind of need for uniqueness. Results of this study provide a basis understand need for uniqueness and their effect on consumer behavior.

• Korean Journal of Human Ecology
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• v.24 no.4
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• pp.571-586
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• 2015

This study examined the effect of ambivalent fashion consuming tendency on continuous information search and fashion store selection. Surveys period was from Jan. 8th to Jan. 20th in 2014. The subjects of this study were the young 218 women who had the shopping experiences with ambivalent fashion consuming tendency in their 20s of Pusan and Kyung-nam. These surveys referred to the relevant preceding researches and were completed by some pilot researches (focus group interview, paper-pencil test). The data was analyzed by frequency analysis, reliability analysis (Cronbach's ${\alpha}$), factor analysis and regression analysis. The main results of this study were summarized like following: First, this study was based on the definition and characteristics of the ambivalent fashion consuming tendency. The current ambivalent fashion consuming tendency consisted of price ambivalence, trend ambivalence and brand ambivalence. The consumer's demographic characteristics affected trend ambivalence, brand ambivalence. Second, continuous information search was composed of entertaining information search and rational information search. Third, ambivalence fashion consuming tendency had a strong influence on continuous information search (information search and share activity). Forth, the price ambivalence, trend ambivalence and brand ambivalence, which is the factors of ambivalent fashion consuming tendency, significantly impacted on selecting the fashion store. In conclusion, ambivalent fashion consuming tendency is main related factor impacting on continuous information search and fashion store selection.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.2
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• pp.79-90
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• 2017

The main purpose of the study was to explore effects of selection criteria of collaborating fashion companies on the partnership growth of collaborating artists with those companies. Secondly was to find differences in the selection criteria of collaborating fashion companies and the partnership growth of collaborating artists according to the characteristics of artists including gender, age, frequency and time period of collaboration. The questionnaire was developed by the researchers and was collected from 50 artists with experience in collaboration with fashion companies. The questionnaire was composed of three parts including the selection criteria of fashion companies, partnership growth measured by a Likert-type scale, and characteristics of artists measured by a nominal scale. Data were analyzed by a frequency test, factor analysis, reliability test, regression analysis, and independent sample t-test using SPSS Win 18.0. The results of the study showed that significant effects of the selection criteria of collaborating fashion companies on the partnership growth of collaborating artists with the companies. Also, there were differences in the selection criteria of collaborating fashion companies and the partnership growth of collaborating artists between artist groups according to the characteristics of the artists including gender, age, frequency and time period of collaboration.

• Nuclear Engineering and Technology
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• v.12 no.2
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• pp.121-126
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• 1980

Selection methods of well labelled insulin fractions based on two different criteria were compared to establish an efficient low level RIA of insulin and to elucidate the correlation between the immunoreactivity and the charcoal-adsorptivity of the radioiodine labelled insulin. The results indicated that the selection of well labelled insulin fractions by means of a charcoal-adsorption test is inappropriate. Generally, the distribution of radioactivity antibody-bindability, and charcoal-adsorptivity of the labelled insulin was not consistent with each other. Thus. the selection should be carried out for every labelling batch to get the utmost assay reliability by antibody-bindability but not by charcoal-adsorptivity. By using the well selected labelled insulin fractions based on antibody-binding, a correct assay for a reference serum was possible, and by extending the incubation time upto 96 hrs, a sharp dose response curve could be obtained even in the range of below 5 $\mu$U/ml standard insulin doses.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.586-589
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• 2012

Web Services have been utilized in a wide variety of applications and have turned into a key technology in developing business operations on the Web. Originally, Web Services can be exploited in an isolated form, however when no single Web Service can satisfy the functionality required by a user, there should be a possibility to compose existing services together in order to fulfill the user requirement. However, since the same service may be offered by different providers with different non-functional Quality of Service (QoS), the task of service selection for Web Service composition is becoming complicated. Also, as Web Services are inherently unreliable, how to deliver reliable Web Services composition over unreliable Web Services should be considered while composing Web Services. In this paper, we propose an approach on a QoS-aware Web Service selection for reliable Web Service composition. In our approach, we select and classify Web Services using Decision Tree based on QoS attributes provided by the client. Service classifier will improve selection of relevant Web Services early in the composition process and also provide flexibility to replace a failed Web Services with a redundant alternative Web Services, resulting in high availability and reliability of Web Service composition. We will provide an implementation of our proposed approach along with efficiency measurements through performance evaluation.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.27-35
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• 2017

The purpose of this study was to examine the causal relationship among restaurant selection attributes and customer satisfaction and recommendation tastes for young people in their twenties who use tickets for Rail-ro. Data collection was conducted to utilize questionnaire survey with online and offline distribution. The collected data were analyzed using a statistical program SPSS 21.0 with frequency analysis, reliability analysis, factor analysis, and regression analysis. The results of the study showed that Internet search is the most common source of information about restaurants during the trip, and restaurant choice attributes have an important impact on customer satisfaction, food quality, employee service and reputation, but hygiene did not have a big effect on customer satisfaction. In addition, customer satisfaction has a significant effect on recommendation intention. Concluding the results from this study, it investigated the significant attributes for customers selection of restaurants and provide meaningful advice for market managers to make useful marketing strategies to attract more clients and augment economic benefits.

• Management & Information Systems Review
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• v.3
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• pp.15-45
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• 1999

Processing techniques of remote sensed image data using computer have been recognized very necessary techniques to all social fields, such as, environmental observation, land cultivation, resource investigation, military trend grasp and agricultural product estimation, etc. Especially, accurate classification and analysis to remote sensed image da are important elements that can determine reliability of remote sensed image data processing systems, and many researches have been processed to improve these accuracy of classification and analysis. Traditionally, remote sensed image data processing systems have been processed 2 or 3 selected bands in multiple bands, in this time, their selection criterions are statistical separability or wavelength properties. But, it have be bring up the necessity of bands selection method by data distribution characteristics than traditional bands selection by wavelength properties or statistical separability. Because data sensing environments change from multispectral environments to hyperspectral environments. In this paper for efficient data classification in multispectral bands environment, a band feature extraction method using the Rough sets theory is proposed. First, we make a look up table from training data, and analyze the properties of experimental multispectral image data, then select the efficient band using indiscernibility relation of Rough set theory from analysis results. Proposed method is applied to LANDSAT TM data on 2 June 1992. From this, we show clustering trends that similar to traditional band selection results by wavelength properties, from this, we verify that can use the proposed method that centered on data properties to select the efficient bands, though data sensing environment change to hyperspectral band environments.

• Journal of Gifted/Talented Education
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• v.22 no.4
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• pp.929-942
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• 2012

The purpose of this study was to propose for efficient selection with observation and nomination system and efficient operation of Convergence Science class in a Science Institute for Gifted Youth attached in university. For this purpose, we analyzed the result of entrance exam with observation and nomination system, and the correlation between enterance exam score and achievement to perform at the Convergence Science class. As a result, despite observation and nomination system is highly dependent on observers and recommenders, they have very different perspectives each other. In addition it was founded that selection and education process after admission is inconsistent.

• Journal of Korean Academy of Nursing
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• v.21 no.3
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• pp.339-348
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• 1991

The study problem was to determine the reliability of the Stewart pain circle measurement tool with Korean subjects. The purpose was to assess the tool for potential use in research in Korea. The subjects were 95 primary school students and 103 university students in Seoul. The study was conducted from May to June 1990, using Stewart's pain color circle tool. To determine the difference in the rated intensity of the order of the pain color circles, statistical mean and standard deviation were employed. Item reliability and test - retest reliability were used to test for reliability. ANOVA and t-test were used to explore for differences in the rated intensity of the order of the pain color circles according to the subjects' general characteristics. The findings were as follows ; 1. Higher level pain intensity was assigned to color circle numbers 2, 4, and 6 (These contain large amounts of color). Lower level pain intensity was assigned to numbers 1, 3, and 5(These contain small amounts of color). Higher and lower levels of pain intensity selection patterns were the same as Stewart's but the highest rating of pain was different. The highest pain intensity rating was given to the color red in this study instead of black as in Stewart's test. 2. University students and primary school students' ratings were not very difteferent. 3. Pain color circle reliability was $\alpha$＝0.3468, Test - retest reliability was supported (t＝0.02~0.97, p＝0.337~0.988) 4. Differences in the rating of the pain intensity order were related to the subjects' age and sex, but not to religion. It was concluded that the pain color circle measurement tool is worth for further study as a research instrument with both Korean adult and child clients for validity and reliability.