• Proceedings of the Korea Association of Information Systems Conference
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• 2001.12a
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• pp.158-165
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• 2001

The certification of software products can provide a greater level of acceptance and feeling of security to customers of these products. This paper presents a certification method for the quality of package software. First of all, the evaluation criteria are derived from ISO/1EC 9126 and 12119 standards, and then the evaluation module are designed considering the measurement scale type. The results can be applied to construct the certification scheme of software product quality for the commercial purpose.

• Proceedings of the Safety Management and Science Conference
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• 2002.05a
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• pp.193-197
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• 2002

The certification of software products can provide a greater level of acceptance and feeling of security to customers of these products. This paper presents a certification method for the quality of package software. First of all, the evaluation criteria are derived from IS0/1EC 9126 and 12119 standards, and then the evaluation module are designed considering the measurement scale type. The results can be applied to construct the certification scheme of software product quality for the commercial purpose.

• Journal of the Korea Safety Management & Science
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• v.4 no.1
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• pp.93-103
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• 2002

The certification of software products can provide a greater level of acceptance and feeling of security to customers of these products. This paper presents a certification method for the quality of package software. First of all, the evaluation criteria are derived from ISO/IEC 9126 and 12119 standards, and then the evaluation module are designed considering the measurement scale type. The results can be applied to construct the certification scheme of software product quality for the commercial purpose.

• Journal of the Korean Society of Safety
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• v.33 no.2
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• pp.112-123
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• 2018

In this paper, we focused on the safety of workers in a remanufacturing process where a risk analysis is not carried out and suggested a criteria for evaluating injury risk. We analyzed a disassembly and a reassembly, which are important for the remanufacturing process. The disassembly includes the disassembly of product and the disassembly process of part and the reassembly includes only reassembly of part. First of all, we analyzed the remanufacturing process and a type of injury. Then, we reviewed the standards and determined the criteria for a severity and an occurrence. We set a bigger weight for the severity to allow the greater impact. And the injury risk score was defined as a sum of the weighted severity and the weighted occurrence. We conducted a qualitative analysis of the experience of field workers based on the criteria we set up. Questionnaires for the evaluation were formulated through interviews with experts.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.347-358
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• 2012

Purpose: Given the mixture components - process variables experimental data, we propose the strategy to find the proper combined model. Methods: Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components - process variables experiments depend on the mixture components - process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. Results: First we choose the reasonable starting models among the class of admissible product models and practical combined models suggested by Lim(2011) based on the model selection criteria and then, search for candidate models which are subset models of the starting model by the sequential variables selection method or all possible regressions procedure. Conclusion: Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. The strategy to find the proper combined model is illustrated with examples in this paper.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2087-2090
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• 2002

최근 보안성 평가기준의 국제 표준인 공통평가기준(Common Criteria, ISO/IEC 15408)의 국내 도입이 활발하게 진행되고 있다. 따라서 개발자들은 개발초기부터 공통평가기준에 대비하여 보안 제품을 개발하는 것이 필요하다. 본 논문에서는 공통평가기준과 공통평가방법론(Common Evaluation Methodology, CEM)을 참고하여 개발자들이 공통평가기준에 대비하여 보안 제품을 개발할 수 있도록 하기 위한 개발 지침을 제시한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.74-77
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• 2008

Online shoppers are not able to try clothing on. Therefore, the pictures of clothing on the website play a significant role when shoppers make decision on their purchase. There are generally three different ways to show clothing at online shops. The first one is showing only clothing images, and the second one is showing the pictures that have actual fitting models wearing clothing on (In this case, Model's face is mostly not shown in the picture.), and the third is showing the pictures of professional fitting models who wear goods. The shopping malls adopt each of the different ways but little is known about affect on purchasing from these three ways. The aim of this study is to figure out how the online shopper's emotional status is affected by these three ways of presenting pictures of clothing. At first, we developed a set of adjective words of human emotion to set up the evaluation criteria for user's emotional status. Those adjectives are originally from the precedent research on human emotion. To cut 99 adjectives down to a proper number for the criteria, we conducted a preliminary survey, and finally, 5 adjectives are selected as appropriate criteria for evaluating users' emotional status while they are shopping. Those five adjectives are 'possess','sensual', 'unique', 'tasteful', and 'stylish'. Then, we conducted the main survey showing 10 kinds of cloth (each cloth was consist of 3 ways). And in the page of model images, we measured the model's preference for understanding the relation with customer's emotion criteria of the product. As a result of the test there was statistically significant difference between product only images and anonymous images, but there was no significant difference between anonymous images and model images. And the preference of the model and value of the emotion criteria have large correlation except 'unique' criteria. It is expected that the result in this study will help to build new marketing strategy which satisfy customers' emotion.

• The Research Journal of the Costume Culture
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• v.13 no.1
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• pp.161-173
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• 2005

The Main objective of this study was to investigate the relationship between shopping orientations and Knit wear Buying Behavior of female college students in the U.S. age 18 to 33. The questionnaires for this survey were developed to measure knitwear purchasing behavior, including sources of information about knitwear, evaluative criteria of knit wear product, attributes f store preference for knitwear, and shopping orientation. The questionnaire was administered to 119 female college students in the University of California. The data was analyzed by percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The female college students were classified into five subdivisions by cluster analysis; cautious shopping group, recreational shopping group, self-confident shopping group, shopping indifferent group, price conscious shopping group. In the case of fashion information sources of knit wear, significant differences were found according to shopping orientation subdivision in observation of others' and famous people's clothing, fashion shows, fashion articles in magazines, newspapers, and on the Internet, and shop displays. The evaluation criteria of knit wear product were significantly different depending on shopping orientation subdivision in fashionable, brand and store name, appropriate for different occasion, prestige. The store attributes of knitwear were significantly different depending on shopping orientation subdivision in product knowledge of sales personnel, store atmosphere, display of merchandise, layaway payment plan, price level, ease of parking and access, and new fashion.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.48-55
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• 2018

A framework has recently been developed to evaluate the user experience (UX) design for a virtual reality (VR) indoor bike. However, no comparative evaluation has been performed for an actual product using this framework. This paper investigates the effectiveness of the framework and identifies some problems when applying it. To validate the framework, we applied the proposed framework to a Korean VR indoor bike (KoVIB) prototype and VirZOOM, a commercial VR bike. The evaluation criteria consist of usability, emotional aspects, user values, and sense of reality. These four criteria were interpreted to evaluate prototypes and include 13, 6, 8, and 16 sub-elements, respectively. The results revealed the strengths and weakness between the Korean prototype and the commercial product, which are valuable for promotion and improvement. The framework helps to identify some problems when applied to real domains. As a result, we recommend a revised framework to compare prototypes with existing VR bikes.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.497-502
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• 2009

In this paper, we introduce an automatic product feature extracting system that improves the efficiency of product review analysis. Our system consists of 2 parts: a review collection and correction part and a product feature extraction part. The former part collects reviews from internet shopping malls and revises spoken style or ungrammatical sentences. In the latter part, product features that mean items that can be used as evaluation criteria like 'size' and 'style' for a skirt are automatically extracted by utilizing term statistics in reviews and web documents on the Internet. We choose nouns in reviews as candidates for product features, and calculate degree of association between candidate nouns and products by combining inner association degree and outer association degree. Inner association degree is calculated from noun frequency in reviews and outer association degree is calculated from co-occurrence frequency of a candidate noun and a product name in web documents. In evaluation results, our extraction method showed an average recall of 90%, which is better than the results of previous approaches.