• Journal of Information Technology Applications and Management
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• v.15 no.2
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• pp.33-49
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• 2008

The purpose of this study is to find student factors associated with the students' evaluation of university teaching, and to provide a meaningful reference to policy-making of teaching evaluation. Based on the surveyed questionnaires from 232 students who participated in e-learning course. in combination with applying descriptive statistics, this study analyzes (1) the influences of students' pre-motivation level of student based-on ARCS theory on class satisfaction, (2) the influences of students' grade, attendance, and class involvement on class satisfaction, and (3) the influences of e-learning experience on students' pre-motivation level and class satisfaction. Result of this study shows that: (1) students' pre-motivation level including Attention(A), Relevance(R), Confidence(C), and Satisfaction(S) is positively correlated to students' evaluation for teaching, (2) students' grade, attendance. and class involvement are positively correlated to students' evaluation for teaching, and (3) students' e-learning experience is not related with students' pre-motivation level, whereas it is related with class satisfaction.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.255-274
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• 2008

The purpose of this research is to develop an information technology (IT) usage level assessment model for service industry. It is necessary to develop an assessment model for service industry's IT usage to improve service productivity. However, it is not easy to develop assessment models due to service industry's diversity. In this paper a generic IT usage assessment model for service industry has been developed and validated through a descriptive approach. Key factors affecting service productivity have been identified and analysed. A pilot test on IT usage level has been performed to investigate the relevance and importance of IT usage indicators (factors). As a result, a set of effective IT usage indicators for service industry have been found. A short-cut model and a full scale model have been proposed for efficient and effective usage. The results of this study can be used for enhancement of service industry productivity through the increase of IT usage level.

• Journal of Community Nutrition
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• v.5 no.1
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• pp.29-36
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• 2003

This study investigated the correlation of the physical measurements and the basic physical fitness of 158 female students in the city of Seoul. The average age of the subjects was 22.0 ${\pm}$ 0.13 years old, the average height was 160.9 ${\pm}$ 0.7cm and the average weight was 53.4 ${\pm}$ 0.6kg. The mean BMI (Body Mass Index) was 20.7 ${\pm}$ 0.2kg/㎡. The average muscle mass was 36.5 ${\pm}$ 0.3 and the average body fat percentage was 28.0 ${\pm}$ 0.4%. The basic fitness levels of the subjects were measured based on the evaluation chart of the Korea Health and Science Research Institution (1994). The subjects were divided into 3 groups based on BMI(Group I : BMI < 20, Group II : 20 $\leq$ BMI < 25, Group III BMI $\geq$ 25) and the correlation between BMI and physical fitness was assessed. 1) The muscle strength of the subjects was measured by their grip strength, among other tests. Groups 1 and 2 were evaluated as “su” (level 1) and group 3 was “woo” (level 2). 2) Endurance 1 was tested by push-ups, and while groups 1 and 2 were evaluated as “su” (level 1), group 3 was “ga” (level 5). This result did not suggest any significant relevance among the subjects. 3) Endurance 2 was tested by sit-ups : groups 1 and 2 were evaluated as “mi” (level 3) and group 3 as “yang” (level 4). Group 2 and group 3 showed a significant difference. 4) Instant power was tested by standing high jumps, and although there was a significant difference between group 1 and group 3, all of the subjects were evaluated as “ga” (level 5). 5) Flexibility was measured by how far the subjects could bend forward. There was no significant relevance between the groups and they were all respectively evaluated as “woo” (level 2). 6) Agility was tested with side-steps and all the subjects showed poor agility as “yang” (level 4). 7) Heart and lung endurance was tested by the step test, calculating the maximum oxygen intake with the Physical Energy Index (PEI) and using the numbers according to the evaluation chart. Group 1 was evaluated as “mi” (level 3) and groups 2 and 3 were “woo” (level 2). From these results, we could see the group III (obese group) had a tendency of lower levels in all the variables related to body fitness They showed significantly lower endurance assessed with time for sit-ups and instant power by the standing high jumps. (J Community Nutrition 5(1) : 29∼36, 2003)

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.433-444
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• 2013

The purpose of this study is to investigate the moderating role of emotional intelligence (EI) and goal-relevance in the relationship between power and emotional awareness. In Study 1, participants were ask to correctly indicate presented facial expressions of others after completing EI survey. Half of the participants were randomly assigned to the "power" condition and the other half to the "powerless" condition. In Study 2, goal-relevance of expressed emotion was manipulated. The results showed that EI moderated the relationship between power and emotion decoding ability. While participants with high and low levels of EI were not significantly affected by power condition, participants with middle level of EI were strongly influenced by the effect of power. In addition, the role of goal-relevance significantly moderated the relationship between power and emotional awareness. When correctly indicating other's emotion became important and thus emotional awareness was strongly associated with participants' goal, those who had power performed better than before.

• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.150-160
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• 2010

Statistics Korea has been diagnosis national statistics every year since 2006. They diagnosis over 200 kinds of national statistics. They have 7 quality dimension used for quality diagnosis. That is relevance, accuracy, Timeliness, Comparability, Coherence, Accessibility. Since we are interest in how well they produce national statistics, comparability has become the most important dimension recently. In this reason, Statistics Korea try to rating quality level and development comparability index for national statistics. This paper propose the practical method of grading the quality level and developing the comparability index of the national statistics.

• Journal of KIISE:Software and Applications
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• v.29 no.3
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• pp.145-155
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• 2002

In content-based image retrieval (CBIR), most conventional approaches assume a linear relationship between different features and require users themselves to assign the appropriate weights to each feature. However, the linear relationship assumed between the features is too restricted to accurately represent high-level concepts and the intricacies of human perception. In this paper, a neural network-based image retrieval (NNIR) model is proposed. It has been developed based on a human-computer interaction approach to CBIR using a radial basis function network (RBFN). By using the RBFN, this approach determines the nonlinear relationship between features and it allows the user to select an initial query image and search incrementally the target images via relevance feedback so that more accurate similarity comparison between images can be supported. The experiment was performed to calculate the level of recall and precision based on a database that contains 1,015 images and consists of 145 classes. The experimental results showed that the recall and level of the proposed approach were 93.45% and 80.61% respectively, which is superior than precision the existing approaches such as the linearly combining approach, the rank-based method, and the backpropagation algorithm-based method.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.511-518
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• 2009

A lot of methods are proposed to provide services for object informations in distributed domain to satisfy the recent increase of user-centered services. This paper proposed a method called fuzzy drop manager for the service of reliable distribution application domain objects. The proposed system accesses the domain using replica parameter ci,j and access matrix Z, and evaluates the reference relatedness inside the domain using the relatedness, given by the mapping of intra-domain fuzzy relevance, between fuzzy sets. Objects in the domain generated an $\alpha$-level set according to the reference relatedness obtained by applying $\alpha$-level to extend queries. Simulation results showed that the proposed method has better performance than the other methods.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.183-190
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• 2018

We examined the level of Earnings Management of Socially Responsible Investment(SRI) Corporate by using Book-Tax Difference(BTD). We used 2,718 sample data from 2011 to 2016 on Korea Stock Exchange. In short, the result of this study's is as followed. Socially Responsible Investment(SRI) have a negative relevance with Book-Tax Difference(BTD). Therefore this study can support that a firm has a high level of Socially Responsible Investment(SRI) will have the better the Quality of Accounting according to our study. This study contributes as follow. we can confirm that the more Socially Responsible Investment(SRI) the better Quality of Accounting Information. And we hope that our study can be helped development of sound capital market and give a useful information to investors on firms that has a high level of Socially Responsible Investment(SRI).

• Journal of KIISE:Databases
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• v.33 no.4
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• pp.372-383
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• 2006

Among the approaches to image database management, content-based image retrieval (CBIR) is viewed as having the best support for effective searching and browsing of large digital image libraries. Typical CBIR systems allow a user to provide a query image, from which low-level features are extracted and used to find 'similar' images in a database. However, there exists the semantic gap between human visual perception and low-level representations. An effective methodology for overcoming this semantic gap involves relevance feedback to perform feature re-weighting. Current approaches to feature re-weighting require the number of components for a feature representation to be the same for every image in consideration. Following this assumption, they map each component to an axis in the n-dimensional space, which we call the metric space; likewise the feature representation is stored in a fixed-length vector. However, with the emergence of features that do not have a fixed number of components in their representation, existing feature re-weighting approaches are invalidated. In this paper we propose a feature re-weighting technique that supports features regardless of whether or not they can be mapped into a metric space. Our approach analyses the feature distances calculated between the query image and the images in the database. Two-sided confidence intervals are used with the distances to obtain the information for feature re-weighting. There is no restriction on how the distances are calculated for each feature. This provides freedom for how feature representations are structured, i.e. there is no requirement for features to be represented in fixed-length vectors or metric space. Our experimental results show the effectiveness of our approach and in a comparison with other work, we can see how it outperforms previous work.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3230-3242
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• 2015

In this study, in an attempt to elucidate the relevance and the association between AUDIT level and health related indices such as obesity-related indices (BMI, waist circumference, body fat percentage), serum liver-enzyme levels (AST, ALT, GGT, total bilirubin) and serum lipid levels (TC, TG, HDL-C, LDL-C), data about including results of health checkup examination and questionnaire from 558 male examinees of 30-79 years old, who received a comprehensive health examination in the health promotion center of a university hospital during the period of January 1 to December 31, 2012, was analysed. As a results, the distribution of AUDIT rating of subjects was Zone I 58.2%, Zone II 25.3%, Zone III 7.0%, and Zone IV 9.5%. And AUDIT levels have significant relevance with age, smoking, body fat, GGT and TG. Especially, for the waist circumference, GGT and TG, the odds ratio indicating abnormality significantly increased in the higher AUDIT groups (Zone II~Zone IV) than a low-grade group (Zone I). This suggests that drinking problem with a high AUDIT level has a significant relevance with an abnormal increase of indices for obesity, serum liver-enzyme levels, serum lipid levels.