• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.1
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• pp.13-32
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• 2020

This study investigates the multi-dimensional structure of fashion store window creativity and examines its effects on consumer responses. Through an expert evaluation survey, this study proposes that fashion store window creativity involves originality, relevance, and artistry. Two experiments are conducted to test the proposed hypotheses. Consumers' emotional responses to the level of window creativity are collected using psychophysiological and self-report methods. Fashion store window creativity has positive effects on psychophysiological affective responses. When the three dimensions of creativity are specified as explanatory factors of emotional responses, relevance and artistry show positive effects on arousal and pleasure, whereas originality has a negative effect on pleasure. Its effect on attitudes is mediated by arousal and pleasure; in addition, the effect on entering intentions is mediated by arousal. Attitudes toward window display also have a positive effect on entering intentions. This study extends existing research on creativity in marketing into the context of visual merchandising in fashion store windows. Findings provide meaningful implications in that the effects of fashion store window creativity on emotions affect consumer attitudes and behavioral intention. By adopting multiple approaches in the empirical phase of this study, the findings are built on strong reliability and validity.

• 한국IT서비스학회:학술대회논문집
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• 2003.11a
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• pp.616-623
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• 2003

Since the computing environment changes very rapidly, the estimation of software effort is very difficult because it is not easy to collect a sufficient number of relevant cases from the historical data. If we pinpoint the cases, the number of cases becomes too small. However if we adopt too many cases, the relevance declines. So in this paper we attempt to balance the number of cases and relevance. Since many researches on software effort estimation showed that the neural network models perform at least as well as the other approaches, so we selected the neural network model as the basic estimator. We propose a search method that finds the right level of relevant cases for the neural network model. For the selected case set, eliminating the qualitative input factors with the same values can reduce the scale of the neural network model. Since there exists a multitude of combinations of case sets, we need to search for the optimal reduced neural network model and corresponding case set. To find the quasi-optimal model from the hierarchy of reduced neural network models, we adopted the beam search technique and devised the Case-Set Selection Algorithm. This algorithm can be adopted in the case-adaptive software effort estimation systems.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.311-324
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• 2022

In this paper, we adjusted the feedback and learning materials for each learning based on ARCS motivation which applied DEVS methodology. We designed the ARCS professor-student model that expresses the continuous change in the student's attitude toward the class according to the student's attention, relevance, confidence, and satisfaction. It was applied to computational thinking and data analysis classes Based on the designed model. Before and after class, the students were asked the same question and then analyzed for each part of the ARCS. It was observed that students' perceptions of Attention, Relevance, and Satisfaction were improved except for Confidence. we observed that the students themselves felt that they lacked a lot of confidence compared to other ARS through the analysis. Although, Confidence showed a 13.5% improvement after class but it was about 33% lower than the average of other ARS. However, when it was observed that students' self-confidence was 30% lower than other motivational factors it was confirmed that the part that leads C to a similar level in other ARS is necessary.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.133-141
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• 2001

Since the computing environment changes very rapidly, the estimation of software effort is very difficult because it is not easy to collect a sufficient number of relevant cases from the historical data. If we pinpoint the cases, the number of cases becomes too small. However is we adopt too many cases, the relevance declines. So in this paper we attempt to balance the number of cases and relevance. Since many researches on software effort estimation showed that the neural network models perform at least as well as the other approaches, so we selected the neural network model as the basic estimator. We propose a search method that finds the right level of relevant cases for the neural network model. For the selected case set. eliminating the qualitative input factors with the same values can reduce the scale of the neural network model. Since there exists a multitude of combinations of case sets, we need to search for the optimal reduced neural network model and corresponding case, set. To find the quasi-optimal model from the hierarchy of reduced neural network models, we adopted the beam search technique and devised the Case-Set Selection Algorithm. This algorithm can be adopted in the case-adaptive software effort estimation systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6676-6684
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• 2014

This paper analyzed an existing literature review of street environment, density, accessibility, and diversity in terms of not the street level, but also the urban context level. In addition, this paper examined Jane Jacobs' theory (1961) regarding the relevance between the diversity of facilities and increasing volume of pedestrians. To find the explanation ability and significance among variables, this paper employed Enter's method of Regression Analysis in the industrial classification of restaurant business and liquor business. This empirical analysis of both theories of Jacobs (1961) and MacCormac (1983) had a different signification from existing research. Jacobs (1961) suggested the relevance among various facilities for increasing the volume of pedestrians, and MacCormac (1983) explained the different impact by industrial classification. In future research, the subdividing of industrial classification is necessary for a more precise and specific analysis.

• Research in Community and Public Health Nursing
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• v.1 no.1
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• pp.88-102
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• 1989

This survey was conducted in order to find out the degree of health service activities of Public Health Nurses & variables relevant to their activities. The subjects of this survey were 232 PHN in Health Centers, Inchon & Kyung Gi area. Data were collected by mean of questionairs from 30th, September to 30th, October, 1986. For the analysis, ANOVA was used. The results were as follows; 1. General characteristics of PHN: o An approximately four fifth of the subjects (82.3%) was between 20-39 years. o The average career length of the subjects as PHN was 4 years. o Their educational level was almost Nursing School (22.4%) Junior College of Nursing (53.4%). o The marital status of the subjects was already married (75.4%). 3. The degree of health service activities of PHN; o The total mean of health service activities was 2.147 (S.D: 1.477, range 11-5). o Among the 11 Health Service Categories; Health service planning (2.828) is the highest mean scored category. The lowest mean scored category was the other health services. o Among the specific activity items about the 11 health service categories, the highest scored activities were 'personal counselling & education' in well-baby care (2.504), family planning (2.530), Tb control (2.134), disease control (2.371), 'health history taking & health examination', in prenatal care, 'clinic care', in administrative service, 'record & report', in the other categories. o Almost categories (10), 'Home visiting' was the lowest scored activity. 3. The relevance for the health service activities by several variables were as follows; o The relevance for the health service activities by general characteristics of PHN was not shown significance at age, educational level, marital status, relegion status. o And at work place, & work department was shown high significance.

• Journal of Korean society of Dental Hygiene
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• v.12 no.6
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• pp.1158-1164
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• 2012

Objectives : The aim of the present study was to measure the level of Streptococcus mutans(S. mutans), the major causative agent in dental caries, and to examine the relationship between S. mutans level and dental caries experience. Methods : The present study was carried out in 41 university students. S.mutans plaque was detected in the saliva using Dentocult$^{(R)}$-SM and was measured in absorbance. The data were analyzed in the relevance for number of dental caries experience. Results : The group of S. mutans value has progressive caries, which was higher than that of non-suffering caries(p<0.05). More caries experience showed higher value of S. mutans(p>0.05). According to the relationship with DMFT, level of S. mutans and absorbance, correlation with the level of salivary S. mutans is shown statistically highly significant (p<0.01). The level of S. mutans in saliva and plaque and absorbance is statistically significant(p<0.05). Conclusions : The levels of S. mutans in both group of high caries experience and progressive caries was highly detected, continuous oral health management should be carried out to prevent the possible dental caries.

• Health Policy and Management
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• v.18 no.4
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• pp.66-84
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• 2008

Objectives: This study aimed to. offer some fundamental evidences for the stroke management policy by investigating the trends of medical care utilization and regionalization in stroke inpatients. Methods: We used the National Health Insurance claims and registry data for stroke inpatients from 1998 to 2005. Among all stroke inpatient claims data, self-employed insured and their dependents were only included in this study. The classification of stroke was based on ICD-10(I60-I69) and its subtype was divided by hemorrhage(I60-I62) and infarction(I63-I64) type. To evaluate regionalization of medical care utilization, relevance index was calculated by regions. The regions were classified 8 large catchment areas and 163 self authorized areas. Results: The overall medical care utilization rate of stroke inpatient has been increased, especially infarction subtype. Among medical care institutions, the utilization of hospital has been the most rapidly increased. Although considered annual rate of interest, total medical cost of stroke inpatients has been increased, Totally, more than 84% of stroke inpatient were admitted to medical care institutions in their own large catchment area during 1998-2005. The relevance indices in their own large catchment area (self sufficiency rates) were more than 70% in most areas regardless of stroke subtype except Chungbuk catchment area. Self sufficiency rates of stroke inpatients among 163 self authorized areas in 1998 and 2005 were 84.2% and 83.1% in metropolitan, 46.7% and 45.5% in urban, and 19.5% and 22.6% in rural areas, respectively. Conclusion: Stroke management policy for improvement of distribution at the district level, especially in rural areas, may be helpful for reducing regional inequality in stroke.

• Journal of the Korean Society for Library and Information Science
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• v.22
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• pp.361-396
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• 1992

The purpose of this study is to verify the correlations between the amount of the online searcher's search experience and their search effect. In order to achieve this purpose, the 28 online searchers working at the chosen libraries and information centers have participated in the study as subjects. The subjects have been classified into the two types of cognitive style by Group Embedded Figure Test. As the result of the GEFT, two groups have been identified: the 15 Field Independance ( FI ) searchers and the 13 Field Dependance ( FD ) searchers. The subject's search experience consists of the 3 elements: disciplinary, training, and working experience. In order to get the data of these empirical elements, a questionnaire have been sent to the 28 subjects. An online searching request form prepared by a practical user was sent to all subjects, who conducted searches of the oversea databases through Dialog to retrieve what was requested. The resultant outcomes were collected and sent back to the user to evaluate relevance and pertinence of the search effect by the individual. In this study, the search effect has been divide into relevance and pertinence. The relevance has been then subdivided into the 3 elements : the number of the relevant documents, recall ratio, and the cost per a relevant document. The relevance has been subdivided into the 3 elements: the number of the pertinent documents, utility ratio, and the cost per a pertinent document. The correlations between the 3 elements of the subject's experience and the 6 elements of the search effect has been analysed in the FI and in the FD searchers separately. At the standard of the 0.01 significance level, findings and conclusions made in the study are summarised as follows : 1. There are strong correlations between the amount of training and the recall ratio, the number of the pertinent documents, and the utility ratio on the part of FI searchers. 2. There are strong correlations between the amount of working experience and the number of the relevant documents, the recall ratio on the part of FD searchers. However, there is also a significant converse correlation between the amount of working experience and the search cost per a pertinent document on the part of FD searchers. 3. The amount of working experience has stronger correlations with the number of the pertinent documents and the utility ratio on the part of FD searchers than the amount of training. 4. There is a strong correlation between the amount of training and the pertinence on both part of FI and FD searchers.

• Journal of KIISE:Databases
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• v.34 no.3
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• pp.193-205
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• 2007

Increasing amount of digital images requires more accurate and faster way of image retrieval. So far, image retrieval method includes content-based retrieval and keyword based retrieval, the former utilizing visual features such as color and brightness and the latter utilizing keywords which describe the image. However, the effectiveness of these methods as to providing the exact images the user wanted has been under question. Hence, many researchers have been working on relevance feedback, a process in which responses from the user are given as a feedback during the retrieval session in order to define user’s need and provide improved result. Yet, the methods which have employed relevance feedback also have drawbacks since several feedbacks are necessary to have appropriate result and the feedback information can not be reused. In this paper, a novel retrieval model has been proposed which annotates an image with a keyword and modifies the confidence level of the keyword in response to the user’s feedback. In the proposed model, not only the images which have received positive feedback but also the other images with the visual features similar to the features used to distinguish the positive image are subjected to confidence modification. This enables modifying large amount of images with only a few feedbacks ultimately leading to faster and more accurate retrieval result. An experiment has been performed to verify the effectiveness of the proposed model and the result has demonstrated rapid increase in recall and precision while receiving the same number of feedbacks.