• Korean Institute of Interior Design Journal
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• no.25
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• pp.280-289
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• 2000

The purpose of this study is to suggest a evaluation method and matching process model which derives suitable design firm for a client. Unlike the existing evaluation method, the suggested evaluation method and matching process for interior design firm allows a client specify his own needs. The evaluation methods utilizes designers experience record, past performance and customers post occupancy evaluation to derive design firms meeting clients requirements. With this method and matching process model, customers could access the design firms more efficiently and the design firms suitable for the clients needs could be suggested.

• Korean Institute of Interior Design Journal
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• v.13 no.2
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• pp.184-191
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• 2004

The purpose of this study is to suggest designing goals and directions in the lobby area of obstetric hospitals by constructing a space evaluation structure model, which is made by image evaluation structure model used by SD method and Advanced Repertory Grid Technique. As a result of the image evaluation used by SD method, it turned out 4 factors which are related to recognizing and evaluating the space formativeness, openness, decorativeness, sensitiveness. I found out the relationship between space evaluation structure and the element of interior space. I also suggested detailed designing method based on this relationship. Space evaluation structure model can be applied to designing lobby areas of obstetric hospitals to reconstruct more specific and objective designing goals and standards rather simply designer's sensitive and abstract designing approach.

• Journal of The Korea Institute of Healthcare Architecture
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• v.9 no.1
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• pp.43-51
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• 2003

The purpose of this study is to find out the design guideline for women's hospital focusing on the patient needs. This study is performed the literature review of the performance evaluation & spatial satisfaction. And then, the spatial characteristics of selected women's hospitals, which were recently built in Korea, were analyzed. This study is suggested in the spatial satisfaction evaluation model in order to the spatial evaluation performance elements of the patient needs. The evaluation model of space efficiency derived from this study is expected to be used for the actual guide to architecture of women's hospitals as substantial materials. Finally, the model is used to for the planning & design for the future women's hospital.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.215-221
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• 2014

The Fingerprint recognition system is a system which identify the user's identify by verifying user's fingerprint and prepared data. The performance of fingerprint recognition system is dependent on 'fingerprint recognition time' and 'fingerprint recognition accuracy' and so on. In this paper, we developed a evaluation model about efficiency based on ISO quality evaluation standard for evaluating of quality level of fingerprint recognition system. We expect to contribute to construct and use of evaluation criteria based on quality evaluation standard by this study.

• Phonetics and Speech Sciences
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• v.5 no.4
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• pp.109-119
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• 2013

The purpose of this paper is to show the tendency of evaluators in the pronunciation evaluation of English utterances. The tendency was visualized using the evaluation model of English pronunciation proposed in [1]. One hundred fifty female university students and four evaluators participated in the study. Students read eight English sentences aloud as evaluators evaluated English pronunciation by their own criteria. The models based on their pronunciation evaluation proved to be efficient in showing their evaluation tendency in terms of the fundamental frequency, intensity, segmental durations, and segmental spectra as compared to those of the five native speakers of English chosen for building the models. However, human evaluators were not always consistent in their evaluation and sometimes gave conflicting scores to the same students.

• Journal of Korean Society for Quality Management
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• v.33 no.2
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• pp.1-12
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• 2005

An extensive literature review has been made in this paper to build the evaluation hierarchy structure for the certification of electronic commerce services. In building the evaluation hierarchy structure, major candidate evaluation factors are selected by bench marking the various certification practices, including the Malcolm Baldrige award, ISO9000, and BSC(balanced scorecard) techniques. This paper deployed principal component analysis and factor analysis techniques to develop a statistically solid and systematic evaluation model. The final evaluation model, as presented in this paper as a model for the certification of electronic commerce services, produces a numeric score on the 100% scale, which can be served as a metric for the certification decision. The AHP technique was used in converting the various qualitative and quantitative evaluation values into a single measure for the certification decision.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.166-169
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• 1996

Well-evaluated quality of software can provide business proper decisions, increase productivity, and prevent financial loss or unnecessary burden of rework. Evaluation is important to ensure the chosen software conforming to organizational requirements, customer demands, and product integrity level. In this paper, we present a theoretical model with the structure of evaluation requirements to select the prioritized evaluation target input of software quality. Within limited time and budget, the prioritized target inputs of evaluation can be used to determine the appropriate evaluating step for each different category of requirements.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3656-3664
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• 2013

The purpose of this study is to help each university for valid performance evaluation and quality control of the Industry-University Cooperation Concentration Professor(IUCCP) through the development of the performance evaluation model of industry-university cooperation concentration professor. To achieve this purpose, researchers were collected and analysis data about the management regulations of IUCCP of 57 university include 51 LINC selected by Ministry of Education and Science-Technology in 2012. Through this process, define the concept of IUCCP and clear a qualification criterion, types and role the each types of IUCCP, and developed the model on performance evaluation of industry-university cooperation concentration professor constructed 4 dimensions consists with evaluation area, evaluation element, evaluation indices, and scoring unit.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.201-212
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• 2017

This study presented the new evaluation index which can evaluate the discrimination of DEA models. To evaluate the discrimination of DEA models, data were analyzed using importance index as suggested in previous study and the coefficient of variation as suggested in this study for the discrimination evaluation. This study selected the CCR-DEA, BCC-DEA, entropy, bootstrap, super efficiency, and cross efficiency DEA model for the discrimination evaluation and accomplished empirical analysis. In order to grasp the rank correlation of the models, this study implemented the rank correlation analysis between the efficiency of CCR model and BCC model and entropy, bootstrap, super efficiency, and efficiency of the cross efficiency model. The obtained results of this study are as follows. First, the discrimination rank of models using the importance index and the coefficient of variation was shown to be identical. Therefore, the coefficient of variation can be used the discrimination evaluation index of DEA model. Second, the discrimination of the super efficiency model was found to be the highest rank among 4 models according to the analysis of this present study. Third, the highest rank correlation with CCR model was the super efficiency model. In addition, the super efficiency model was found to be the highest rank correlation with BCC model.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1285-1296
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• 2013

The fundamental concerns of this paper are to analyze the effects of student course evaluation using subject characteristic and student characteristic variables. We use a 2-level hierarchical linear model since the data structure of subject characteristic and student characteristic variables is multilevel. Four models we consider are as follows; (1) null model, (2) random coefficient model, (3) mean as outcomes model, (4) intercepts and slopes as outcomes model. The results of the analysis were given as follows. First, the result of null model was that subject characteristics effects on course evaluation had much larger than student characteristics. Second, the result of conditional model specifying subject and student level predictors revealed that class size, grade, tenure, mean GPA of the class, native class for level-1, and sex, department category, admission method, mean GPA of the student for level-2 had statistically significant effects on course evaluation. The explained variance was 13% in subject level, 13% in student level.