• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.3
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• pp.386-396
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• 2014

This study examined the effects of Korean celebrity advertising models on the advertising effectiveness for Chinese brands by comparing apparel products with electronic products. In addition, this study explored the effects of gender and monthly expenses on the evaluation of Korean celebrity advertising models. This study targeted 388 Chinese university students in China. The results show that Korean advertising models consist of five attributes (familiarity, visibility, credibility, similarity, and attractiveness) and that advertising effectiveness consists of three factors (attitude toward the advertisement, attitude toward the brand, and purchase intention). The impact of these five advertising model attributes on advertising effectiveness differ for apparel and electronic products. The results also indicate gender and expense differences in the evaluation of Korean celebrity models. We discuss the theoretical and managerial implications of the results along with potential limitations and future research directions.

• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.1-10
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• 2008

Web-based Assessment System is needed for Process-Oriented Evaluation to integrate instructions into evaluation frequently in Informatics Education, and considered usability for supporting teachers to test more conveniently. First of all, we analyzed usability of traditional Web-based Assessment System, and proposed PBA(Paper-Based Assessment) model by extracting usability features of paper-pencil assessment in off-line. The evaluation system based on the PBA model controls the whole processes of tests; before-test, under-test, after-test. Especially, the system readily can change the target class, and control access to the test page during each step. Thus we can get high credibility about the test results. Moreover, students can login to the paper easily by using their grade, class, number and name. Finally, we designed and implemented the Web-based Assessment System for Informatics education on the basis of PBA model; PAS(PBA-based Assessment System).

• Journal of vocational education research
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• v.29 no.3
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• pp.157-185
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• 2010

This study aims to develop a process-oriented evaluation criteria that can be applied during the collection, description, and the provision of information necessary to improving and sustaining the cyber education program for human resource development. The conclusion obtained in the study is as described below. First, the process-oriented evaluation criteria of cyber education program for human resource development was divided into 4 dimensions, 13 evaluation categories, 29 evaluation sub-categories, and 125 evaluation clauses. Secondly, the process-oriented evaluation criteria of cyber education program for human resource development was divided into 4 dimensions, 13 evaluation categories, 29 evaluation sub-categories, and 125 evaluation clauses through the Delphi research method. Thirdly, the contents validity ratio (CVR) of each clauses ranged between .31-1.00 and therefore can be said to be valid. Also, the Cronbach's credibility for the validity of the developed evaluation criteria scored .980.

• Architectural research
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• v.16 no.4
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• pp.131-137
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• 2014

Recently, the development of sustainable building assessment tools as means to invigorate the dissemination of sustainable buildings has been actively progressed. However, many assessment tools involve various problems in terms of assessment method and system framework, which greatly impede their credibility and applicability. If these problems persist over time, the role of sustainable building assessment tools as decision making measures during the design stage will be greatly limited. The objective of the study is to suggest a systematic model for sus- tainable building assessment tools by establishing a logical system of performance assessment framework. For this purpose, the Environmen- tal Impact Assessment(EIA) framework used in selected and modified to fit the building performance assessment. The analysis of performance assessment tools for sustainable buildings was conducted using the EIA framework. Based on the results of the analysis, a framework for the performance assessment of sustainable buildings was established.

• International Journal of Highway Engineering
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• v.16 no.3
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• pp.35-41
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• 2014

PURPOSES : The dynamic modulus for a specimen can be determined by using either the non-destructed or destructed testing method. The Impact Resonance Testing (IRT) is the one of the non-destructed testing methods. The MTS has proved the source credibility and has the disadvantages which indicate the expensive equipment to operate and need a lot of manpower to manufacture the specimens because of the low repeatability with an experiment. To overcome these shortcomings from MTS, the objective of this paper is to compare the dynamic modulus obtained from IRT with MTS result and prove the source credibility. METHODS : The dynamic modulus obtained from IRT could be determined by using the Resonance Frequency (RF) from the Frequency Response Function (FRF) that derived from the Fourier Transform based on the Frequency Analysis of the Digital Signal Processing (DSP)(S. O. Oyadigi; 1985). The RF values are verified from the Coherence Function (CF). To estimate the error, the Root Mean Squared Error (RMSE) method could be used. RESULTS : The dynamic modulus data obtained from IRT have the maximum error of 8%, and RMSE of 2,000MPa compared to the dynamic modulus measured by the Dynamic Modulus Testing (DMT) of MTS testing machine. CONCLUSIONS : The IRT testing method needs the prediction model of the dynamic modulus for a Linear Visco-Elastic (LVE) specimen to improve the suitability.

• The Journal of Korean Association of Computer Education
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• v.7 no.3
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• pp.67-78
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• 2004

Since the 7th National Curriculum was established, ICT has emerged as an indispensable tool for teaching a variety of subjects in K-12 education systems. This paper develops the model for explaining the factors affecting students' satisfaction level in using web contents for science class. Based on data collected from a questionnaire survey from the students who evaluated the web sites providing the information related to the science subject, the structural equation model is presented. From this model, a following conclusion is provided : credibility and understandability/motivation are the most important factors affecting the level of satisfaction, but the presentation method, the screen design as well as contents itself has indirect impact on user satisfaction through understandability/motivation. Other interesting results are also provided. This result might provide the useful guidelines for designing the web-contents for science class in high school.

• Fashion & Textile Research Journal
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• v.20 no.5
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• pp.495-508
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• 2018

The purpose of this study is to analyze the effect of characteristics of advertising model on brand personality and the effect of brand personality on brand attitude; and analyze whether the characteristics of the advertising model have a direct effect on the brand attitude or indirectly through the brand personality. A survey was conducted from August 10, 2017 until August 31, 2017, and 400 respondents' survey results were analyzed. For data analysis, SPSS 23.0 was utilized to perform descriptive statistics, factor analysis, t-test, and regression analysis. As a result, five brand personality factors were derived, which are aesthetics, safety/expertise, sophistication, pro-environment, youth, respectively. For advertising model characteristics, seven factors were derived, which are credibility, visibility, attractiveness, expertise, similarity, likeability, and familiarity, respectively. This study investigated the relationship between characteristics of cosmetics advertising model, brand personality, and brand attitude. Brand personality does not play a mediating role between advertising model's characteristics and brand attitude. Advertising model's characteristics have a direct effect on the brand attitude. Consequently, Cosmetics companies should recognize the importance of the characteristics of advertising model and implement the marketing strategy by carefully selecting the advertising model so that consumers can relate the characteristics of advertisement model to the brand attitude which will ultimately lead to positive evaluation of the brand.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.355-363
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• 2018

Found pesticide-contaminated eggs in 2017, the situation became a hot issue in many countries in the world as well as Korea. In the context of the pesticide-contaminated egg, this study explored that preventive behavioral intention would be predicted by perceived susceptibility and severity from health belief model, trust in the government and evaluation of information from the government, and subjective knowledge. We found that preventive behavioral intention was explained by perceived severity (${\beta}=.262$, t=3.531, p<0.001), trust in the government (${\beta}=.25$, t=3.281, p<0.001), and evaluation of the information from the government (${\beta}=.226$, t=2.936, p<0.01) through stepwise multiple linear regression analysis. The findings imply the government would administer policy in terms of credibility, accuracy, and consistency for decreasing the public's sense of unease and panic when a similar incident occurs.

• Nuclear Engineering and Technology
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• v.50 no.3
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• pp.396-410
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• 2018

To assist operators to properly assess the current situation of the plant, accurate fault diagnosis methodology should be available and used. A reliable fault diagnosis method is beneficial for the safety of nuclear power plants. The major idea proposed in this work is integrating the merits of different fault diagnosis methodologies to offset their obvious disadvantages and enhance the accuracy and credibility of on-line fault diagnosis. This methodology uses the principle component analysis-based model and multi-flow model to diagnose fault type. To ensure the accuracy of results from the multi-flow model, a mechanical simulation model is implemented to do the quantitative calculation. More significantly, mechanism simulation is implemented to provide training data with fault signatures. Furthermore, one of the distance formulas in similarity measurement-Mahalanobis distance-is applied for on-line failure degree evaluation. The performance of this methodology was evaluated by applying it to the reactor coolant system of a pressurized water reactor. The results of simulation analysis show the effectiveness and accuracy of this methodology, leading to better confidence of it being integrated as a part of the computerized operator support system to assist operators in decision-making.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2718-2731
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• 2023

This paper presents a method of using syntax and shallow semantic analysis for Vietnamese question generation (QG). Specifically, our proposed technique concentrates on investigating both the syntactic and shallow semantic structure of each sentence. The main goal of our method is to generate questions from a single sentence. These generated questions are known as factoid questions which require short, fact-based answers. In general, syntax-based analysis is one of the most popular approaches within the QG field, but it requires linguistic expert knowledge as well as a deep understanding of syntax rules in the Vietnamese language. It is thus considered a high-cost and inefficient solution due to the requirement of significant human effort to achieve qualified syntax rules. To deal with this problem, we collected the syntax rules in Vietnamese from a Vietnamese language textbook. Moreover, we also used different natural language processing (NLP) techniques to analyze Vietnamese shallow syntax and semantics for the QG task. These techniques include: sentence segmentation, word segmentation, part of speech, chunking, dependency parsing, and named entity recognition. We used human evaluation to assess the credibility of our model, which means we manually generated questions from the corpus, and then compared them with the generated questions. The empirical evidence demonstrates that our proposed technique has significant performance, in which the generated questions are very similar to those which are created by humans.