• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.153-161
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• 2012

In this empirical study at the Web environment based on the frequency distribution of the cyclomatic complexity number of the application, the relevance of the threshold has been analyzed with the next two assumptions. The upper bound established by McCabe in the procedural programming equals 10 and the upper bound established by Lopez in the Java programming equals 5. Which numerical value can be adapted to Web application contexts? In order to answer this 10 web site projects have been collected and a sample of more than 4,000 ASP files has been measured. After analyzing the frequency distribution of the cyclomatic complexity of the Web application, experiment result is that more than 90% of Web application have a complexity less than 50 and also 50 is proposed as threshold of Web application. Web application has the complex architecture with Server, Client and HTML, and the HTML side has the high complexity 35~40. The reason of high complexity is that HTML program is usually made of menu type for home page or site map, and the relevance of that has been explained. In the near future we need to find out if there exist some hidden properties of the Web application architecture related to complexity.

• Journal of the Korean Society for information Management
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• v.11 no.1
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• pp.31-56
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• 1994

To evaluate the retrieval effectiveness of the B03lean Request Conversion Mod4 the Relevance Weighted Boolean Model, and the P-NORM Model, the present study has been done with expenmental tests. It is proven that the Relevance Weighted Bdean Model is more effective in precision and the document output ranks than the other ones. The expenmental results indmte a promisii application of relevance mformation and weigh- schemes.

• Industrial Engineering and Management Systems
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• v.14 no.3
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• pp.318-324
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• 2015

This paper proposes a dynamic short-term load forecasting method that utilizes a new sequential learning algorithm based on Relevance Vector Machine (RVM). The method performs general optimization of weights and hyperparameters using the current relevance vectors and newly arriving data. By doing so, the proposed algorithm is trained with the most recent data. Consequently, it extends the RVM algorithm to real-time and nonstationary learning processes. The results of application of the proposed algorithm to prediction of electrical loads indicate that its accuracy is comparable to that of existing nonparametric learning algorithms. Further, the proposed model reduces computational complexity.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.269-287
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• 2016

In general, service failure occurs inevitably and the customers who experienced the greater dissatisfaction have the higher expectations of service recovery. However, most of the previous studies have focused on the evaluation and risk factors of pre-service quality. Thus, this study is contrary to the numerous previous studies and focus on the effectiveness of mobile application advertisement users' perceived perception on service recovery after service fails. A research model presented in this study is based on the Equity Theory and deeply evaluated the effectiveness of Distributive Justice, Interactional Justice, and Authenticity Relevance on Service Recovery. The survey of this study was conducted among 286 users who have experienced a services recovery of mobile application advertising. As a result, among all the factors of users of mobile application advertising, Distributive Justice, Interactive Justice, and Relevance have a positive impact to Satisfaction. In addition, Distributive Justice, Authenticity and Satisfaction also have a positive impact to Trust. Ultimately, Satisfaction and Trust have a positive impact to Service Recovery. The results of this study are expected as a reference for presenting a new business model for mobile application advertising industry, reducing business risk and enriching the related researches.

• Journal of Science Education
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• v.41 no.2
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• pp.179-194
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• 2017

The purpose of this study is to construct two equivalent science relevance recognition test tool after confirming the reliability and validity of the CARS(Changes in Attitude of Relevance to Science) questionnaire to determine the applicability of the items to Korean students and to compare gender and school differences. For this study, 59 items of the CARS scientific relevance test were translated and assigned to 787 middle and high school students (analyed the answer of 300 middle school students and 431 high school students). In order to determine the fit of the CARS question to Korean students and to overcome the limitation of the number of questions, we used the item-linking method of the Rasch model. By analyzing the results of the research, we constructed two equivalent scientific relevance recognition questionnaires of CARS-A and CARS-B with 25 items. The Pearson correlation coefficient of the Rasch scores of the two equivalent test was 0.78. The two types of scientific relevance recognition test tools generated through this study can be used to confirm students' attitude of scientific relevance to daily life, or to confirm the change after a certain class or grade. Through this study, we will discuss the implications of students' perceptions of science associations in science education, and the development and application of tools.

• Health Policy and Management
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• v.15 no.4
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• pp.26-45
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• 2005

The purposes of this study were to Identify the .level of measurement on quality Indicators and evaluate the existing indicators in order to determine the priority of quality indicators' application in Korean general hospitals. A survey was conducted using a questionnaire. The subjects were quality managers working at general hospital having over 300 beds. The criteria were relevance, reliability, precision, impact, application, and preference to evaluate quality indicators. According to these six criteria, each indicator was evaluated on a five point scale(5: excellent, 1: poor). The response rate was $40.4\%$. The hospitals have monitored the average of 3.8 indicators(median 4). The indicators such as return to operating room, unplanned readmission, cancellation of booked operations, death, hospital infection, cesarean section rate, volume per disease or procedure, readmission, re-operation, blood transfusion, and post-procedural complications were frequently measured. The top ten quality indicators in the evaluation by its relevance, validity, reliability, impact, preference and application were decubitus ulcer, clean wound infection, fall, unplanned return to operation room, transfusion reactions, foreign body left In during procedure, unplanned readmission, wound infection after contaminated surgery, postoperative hemorrhage/hematoma, and cesarean section rate in order. The high priority quality indicators frequently measured could be used as primary national indicators. Standardized guidelines about monitoring indicators and the utilization will preliminarily be needed to compare and reuse the data for various purposes and improve the quality of care continuously.

• Journal of The Korean Association For Science Education
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• v.23 no.3
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• pp.246-253
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• 2003

This study investigated the influences of role-playing analogy upon students' scientific conceptual understandings, application abilities, retentions of conception and application, and learning motivation. Four classes of 7th grade at a middle school in Seoul were assigned to control and treatment groups, and taught about 'motion of molecules' for 4 class hours. For the Treatment group, role-playing analogy instruction was used. The traditional instruction was used for the control group. Data analysis indicated that the scores of the treatment group were significantly higher than those of the control group in the tests on the conception, the retention of application, and the confidence. In the tests of the application, attention, and relevance, there were significant interactions between instruction and student' gender. Both female and male students in the treatment group scored significantly higher than those in the control group in the application test. In the case of attention and relevance tests, male students in the treatment group scored significantly higher than those in the control group. Educational implications are discussed.

• ETRI Journal
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• v.31 no.4
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• pp.438-447
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• 2009

In this paper, a novel image projection technique for face recognition application is proposed which is based on linear discriminant analysis (LDA) combined with the relevance-weighted (RW) method. The projection is performed through 2-directional and 2-dimensional LDA, or $(2D)^2$LDA, which simultaneously works in row and column directions to solve the small sample size problem. Moreover, a weighted discriminant hyperplane is used in the between-class scatter matrix, and an RW method is used in the within-class scatter matrix to weigh the information to resolve confusable data in these classes. This technique is called the relevance-weighted $(2D)^2$LDA, or RW$(2D)^2$LDA, which is used for a more accurate discriminant decision than that produced by the conventional LDA or 2DLDA. The proposed technique has been successfully tested on four face databases. Experimental results indicate that the proposed RW$(2D)^2$LDA algorithm is more computationally efficient than the conventional algorithms because it has fewer features and faster times. It can also improve performance and has a maximum recognition rate of over 97%.

• Management & Information Systems Review
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• v.37 no.2
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• pp.109-123
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• 2018

This research presented the privatization of pubic corporations in terms of communication dimension rather than political and ideological dimension. Concretely, we examined how the message framing of privatization affects consumer's advertising attitude. At the same time, this study also examined the moderating factors which make a difference of the message framing, such as personal relevance(high/low) and social value orientation(proself/prosocial). The results showed that the interaction effect between type of message framing and personal relevance. Positive message framing showed a higher effect than negative message in the case of low personal relevance. Also, There was the interaction effect between type of message framing and social value orientation. Positive message framing showed a higher effect than negative message in the case of proself. However, there was no difference in message framing effect when there was high personal relevance and prosocial. Lastly, the implications of this study was presented. First, this study expanded the scope of research related to message framing. Second, the use of moderating variables such as personal relevance and social value orientation increased the possibility of practical application. In addition, limitation and further study directions was discussed.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.179-188
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• 2003

In content-based image retrieval, the query is an image itself and the retrieval process is the process that seeking the similar images to the given query image. In this way of retrieval, the user has to know the basic physical features of target images that he wants to retrieve. But it has some restriction because to retrieve the target image he has to know the basic physical feature space such as color, texture, shape and spatial relationship. In this paper, we propose an emotion-based retrieval system. It uses the emotion that color images have. It is different from past emotion-based image retrieval in point of view that it uses relevance feedback to estimate the users intend and it is easily combined with past content-based image retrieval system. To test the performance of our proposed system, we use MPEG-7 color descriptor and emotion language such as "warm", "clean", "bright" and "delight" We test about 1500 wallpaper images and get successful result.lpaper images and get successful result.