• Korean Management Science Review
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• v.32 no.4
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• pp.97-108
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• 2015

This study proposes a mathematical model to estimate the economic value of weather forecast service, among which the precipitation forecast service is focused. The value is calculated in terms of users' satisfaction or dissatisfaction resulted from the users' decisions made by using the precipitation probabilistic forecasts and thresholds. The satisfaction values can be quantified by the traditional value score model, which shows the scaled utility values relative to the perfect forecast information. This paper extends the value score concept to a collective value score model which is defined as a weighted sum of users' satisfaction based on threshold distribution in a group of the users. The proposed collective value score model is applied to the picnic scenario by using four hypothetical sets of probabilistic forecasts, i.e., under-confident, over-confident, under-forecast and over-forecast. The application results show that under-confident type of forecasts outperforms the others as a measure of the maximum collective value regardless of users' dissatisfaction patterns caused by two types of forecast errors, e.g., miss and false alarm.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.7
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• pp.1227-1238
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• 2001

This study was based on social comparison theory, and the covariance structure model was designed, connecting sociocultural attitude, multifaceted body image, and clothing behaviour under sociocultural influence. The practical purpose of this study is to identify the effect of sociocultural attitude toward physical appearance on the affective aspect of body images, the cognitive/behavioral aspect of body images and clothing benefits sought, and to examine the age difference in the female adolescents. The results of this were as follows: 1) Sociocultural attitude toward physical appearance had a negative effect directly on the affective aspect of body images, and showed the highest value in the group of high school girls 2) Sociocultural attitude toward physical appearance had a positive influence directly on the cognitive/behavioral aspect of body images, and high school girls'model showed the highest values significantly as well 3) High school girls'model showed the highest value significantly in the effect of the affective aspect of body images on the cognitive/behavioral aspect of body images. However, college group's model didn's show significant value 4) Middle school girls'model showed higher value positively than the other groups in the effect of the cognitive/behavioral aspect of body images on clothing benefits sought, and the high school girls' model showed higher value negatively in the effect of the affective aspect of body images on clothing benefits sought.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.4
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• pp.1-17
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• 2021

This study was examined whether the experiential marketing factors proposed by Bernd Schmitt were applicable to the consumer behavior of active seniors. The study was analyzed the influence of SEMs have on value perception of brand and attitude formation as well as the behavioral intentions of active senior consumers and whether this effect differed between the level of commitment. For empirical analysis, frequency analysis, EFA, reliability, CFA, SEM, and multiple-group comparison analysis were performed. The results showed that sense and feel factor did not have a significant influence on the value perception of brand, while think factor had a positive effect on the value perception of brand. Act factor did not affect the value perception of brand; on the other hand, relate factor had a significant effect on the value perception of brand. The result of structural equation modeling also revealed that the value perception of brand had a positive influence on attitude formation and behavioral intentions. The result of multiple-group comparison analysis confirmed that the influence of act factor on value perception of brand differed according to the level of commitment, but the positive influence of act factor on value perception of brand was limited to the high-level of commitment group. As a result of the influence relate factor had on the value perception of brand, differences existed between the two groups, and the low-level of commitment group had a greater influence than the high-level of commitment group. So it will be effective for active senior consumers to form fashion communities and let them participate in to enhance positive consumer behavior toward fashion brands.

• International Journal of Highway Engineering
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• v.15 no.2
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• pp.121-129
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• 2013

PURPOSES : This study deals with the traffic accidents of rotary in Korea. The objective of this study is to develop the accident models by age group based on the various data of rotaries. METHODS : In pursuing the above, this study gives particular attentions to classifying the accident data of 17 rotaries by age, collecting the data of geometric structure, traffic volume and others, and developing the models using SPSS 17.0 and EXCEL. RESULTS : First, 3 multiple linear regression models which were all statistically significant were developed. The value of model of under 30-49 age group were, however, evaluated to be 0.688 and be less than those of other models. Second, the most powerful variables were analyzed to be traffic volume in the model of under 30 age group, circulatory roadway width in the model of 30-49 age group, and the number of approach lane in the model of above 50 age group. Finally, the test results of accident models using RMSE were all evaluated to be fitted to the given data. CONCLUSIONS : This study propose install streetlights, speed humps and widen Circulatory as effective improvements for reduction of accident in rotary.

• Korean Journal of Radiology
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• v.22 no.1
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• pp.106-117
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• 2021

Objective: To explore the value of magnetic resonance imaging (MRI)-based whole tumor texture analysis in differentiating borderline epithelial ovarian tumors (BEOTs) from FIGO stage I/II malignant epithelial ovarian tumors (MEOTs). Materials and Methods: A total of 88 patients with histopathologically confirmed ovarian epithelial tumors after surgical resection, including 30 BEOT and 58 MEOT patients, were divided into a training group (n = 62) and a test group (n = 26). The clinical and conventional MRI features were retrospectively reviewed. The texture features of tumors, based on T2-weighted imaging, diffusion-weighted imaging, and contrast-enhanced T1-weighted imaging, were extracted using MaZda software and the three top weighted texture features were selected by using the Random Forest algorithm. A non-texture logistic regression model in the training group was built to include those clinical and conventional MRI variables with p value < 0.10. Subsequently, a combined model integrating non-texture information and texture features was built for the training group. The model, evaluated using patients in the training group, was then applied to patients in the test group. Finally, receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of the models. Results: The combined model showed superior performance in categorizing BEOTs and MEOTs (sensitivity, 92.5%; specificity, 86.4%; accuracy, 90.3%; area under the ROC curve [AUC], 0.962) than the non-texture model (sensitivity, 78.3%; specificity, 84.6%; accuracy, 82.3%; AUC, 0.818). The AUCs were statistically different (p value = 0.038). In the test group, the AUCs, sensitivity, specificity, and accuracy were 0.840, 73.3%, 90.1%, and 80.8% when the non-texture model was used and 0.896, 75.0%, 94.0%, and 88.5% when the combined model was used. Conclusion: MRI-based texture features combined with clinical and conventional MRI features may assist in differentitating between BEOT and FIGO stage I/II MEOT patients.

• Journal of Distribution Science
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• v.17 no.12
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• pp.81-93
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• 2019

Purpose: The success of electronic commerce businesses is the ability to retain the customers and inspire their loyalty in online shopping. The purpose of this study is to develop a model to study the effect of perceived mental benefits, online trust, and hedonic value on the elements of electronic loyalty. Research design, data and methodology: Mixed research method was applied in this study with qualitative and quantitative research method. Qualitative data was collected through focus group discussion with electronic commerce experts. Quantitative data was collected through a survey of 917 customers, in which conducted in four cities and one province in Vietnam. SmartPLS software is used for processing quantitative data. Results: The study points out that four constructs of the mental benefit concept, although not entirely, have an impact on online trust and hedonic value. At the same time, two antecedents of electronic loyalty's three elements are online trust and hedonic value. Conclusions: Through the positive influence between the elements in the conceptual model, the study has shown that the perceived mental benefits, online trust, and hedonic value are important factors to shape the electronic loyalty in developing countries, such as Vietnam. This study proposed some scientific and managerial implications.

• Educational Technology International
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• v.11 no.2
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• pp.77-103
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• 2010

The purpose of this study was to develop an instructional model using new technologies aiming to secure students' learnability and to enhance the public school values in the rural districts. The present study attempts to suggest a practical e-learning instructional and learning model named Group Dynamics- based Debate Instructional Model', which utilizes unique technology environment conditions in most. To develop the model, concepts of group dynamics and debate-based instructional models were reviewed. And in-service teachers in two public schools in a certain rural district were interviewed in order to collect and analyze their needs for a teaching and learning model with which they utilizes unique technology conditions as environment in most. Based on literature review and the need analysis, a group dynamics-based debate instructional model has been suggested in terms of conceptual model. And then expert assessment composing of five in-service teachers from the model schools was implemented twice in order to acquire the suggested model validation, followed by the model validation by a group of experts. Then a revised group dynamics-based debate instructional model has been finally suggested. The group dynamics-based debate instructional model is expected to build up members' affective connection in the process, to generate group value, or collective intelligence, and to establish positive discussion culture. Furthermore, beyond of just utilizing the existing materials, learners are encouraged to develop and collect their own materials and data such as expert's interview, or public news for their argument or refutation. In doing so, learners enhance their learnability as well as accountability, prompting self-directed learning, and establishing appropriate discussion culture resulting in positive learning outcomes.

• Journal of Industrial Convergence
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• v.1 no.2
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• pp.107-124
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• 2003

With rapid growth and competition of electronic commerce through internet, various buying types and business models are being appeared. In this paper, we studied group buying which is new business model to consumer and factors affecting on trust and participation of group buying. The followings are the regression result of this study. First, familiarity factor, customer service factor, seal of security and product value factor made a significant effect on trust. Second, familiarity factor, perceived reputation factor, customer service factor, seal of security and product value factor made a significant effect on participation of group buying. Third, trust of group buying made a significant effect on participation of group buying. In this study, modeling and empirical test were implemented about structure of trust and participation of group buying. We can know where our group buying strategies should focus and which factor we should improve.

• The Journal of Korean Physical Therapy
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• v.18 no.2
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• pp.47-58
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• 2006

Purpose: The study to pulsed ultrasound effects of diabetes mellitus fracture model in rat. Methods: We used 36 Sprague-Dawely rats which were divided into 3 groups; the animals were divided into group of 4 rats each 4th, 14th and 28th days. All animal was induced diabetes mellitus model to used streptozotocin with 45 mg/kg. Pulsed wave were divided into $50\;mW/cm^2$ and $100\;mW/cm^2$. Results: T-ALP value was significantly change from group II, III on 14th, 28th days (p<0.05). Especially T-ALP value to between groups was significantly change from group II on 14th days (p<0.05). Osteocalcin value was significantly change from group II on 28th days(p<0.05). At fracture site, osteoblast, osteoclast expression was observed from 4th days after treatment and it reached its maximum intensity at 28th days. At fracture site, $TGF-{\beta}_1$ expression was observed from 4th days after treatment and it reached maximum intensity at 14th days. Conclusion: According to this study, diabetes mellitus fracture model to the more effective is divided into $50m\;W/cm^2$ pulsed ultrasound.

• Proceedings of the IEEK Conference
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• summer
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• pp.395-399
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• 2004

We present modality conversion as an effective means for QoS management. We show that modality conversion, in combination with content scaling, would give a wider range of adaptation to support QoS at media level. Here, we consider modality conversion with respect to resource constraint and human factor. To represent modality conversion as well as content scaling, we present the overlapped content value (OCV) model that relates the content value of different modalities with resources. The specification of user preference on modality conversion is divided into qualitative and quantitative levels. The user preference is then integrated into the OCV model so that modality conversion correctly reflects the user's wishes. For the conversion of multiple contents, an optimization problem is formulated and solved by dynamic programming. The experiments show that the proposed approach is efficient to be applied in practice.