• International journal of advanced smart convergence
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• 제12권4호
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• pp.202-207
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• 2023

In this paper, we discuss the design and implementation of a recommendation platform actually built in the field. We survey deep learning-based recommendation models that are effective in reflecting individual user characteristics. The recently proposed RNN-based sequential recommendation models reflect individual user characteristics well. The recommendation platform we proposed has an architecture that can collect, store, and process big data from a company's commercial services. Our recommendation platform provides service providers with intuitive tools to evaluate and apply timely optimized recommendation models. In the model evaluation we performed, RNN-based sequential recommendation models showed high scores.

• Journal of Information Technology Applications and Management
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• 제9권3호
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• pp.31-46
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• 2002

The objective of this paper is to develop an evaluation model for pilot informatization projects. There are relatively many researches on evaluation models for information systems. These previous researches, however, lack of comprehensive view of informatization Projects and pilot systems. We apply and test a hybrid evaluation model for to measure the success of pilot informatization projects. A user satisfaction model has been used and hypotheses are developed to find relationships of evaluation factors. The hypotheses have been tested with 51 user surveys. The result of this research can give an insight for the evaluation of pilot informatization projects.

• 한국문헌정보학회지
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• 제41권1호
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• pp.55-84
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• 2007

본 연구는 학교도서관 정책을 평가하기 위하여 정책학에서 제시한 기준을 토대로 평가모형을 개발하고 이 평가모형에 '학교도서관 활성화 종합방안'을 적용하여 학교도서관 정책에 대한 평가를 진행하였다. 학교도서관 정책을 평가하기 위한 기준은 여러 학자가 제시한 이론 중에서 교육정책과 학교도서관 정책에 관한 선행 평가모형을 근거로 하였다. 선정된 평가기준은 평가자에게 배부한 설문지와 전화인터뷰를 통하석 검증하였다. 학교도서관 정책에 대한 평가결과는 대체로 긍정적이었나 일부 정책개선 노력이 필요하다는 내용이 제기되었다.

• 한국문헌정보학회지
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• 제49권1호
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• pp.89-111
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• 2015

본 연구에서는 도서관 서비스 품질 평가 관련 국내 외 최신 연구동향과 서비스 품질 평가 모형에 대하여 전반적으로 살펴보고, 국내의 선행 학술연구를 대상으로 비판적 비교 분석을 수행하였다. 본 연구에서 적용한 비교 분석의 관점은 디지털도서관 서비스 품질 평가 모형 연구(2002년~2007년)와 전반적인 도서관 서비스 품질 평가 연구(2009년~2014년)의 2단계로 구분하여 이루어졌다. 본 연구에서는 우리나라 도서관 서비스 품질 평가에 관한 학술연구의 비교 분석을 통하여 도서관 서비스 품질 평가에 관한 연구 동향을 파악하고 시사점을 도출하고자 하였다.

• 한국IT서비스학회지
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• 제18권2호
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• pp.37-54
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• 2019

The purpose of this study is to present an evaluation model to measure the clarification level of stakeholder requirements of public sector software projects in the Republic of Korea. We tried to grasp the quality of proposal request through evaluation model. It also examines the impact of the level of stakeholder requirements on the level of system requirements. To do this, we analyzed existing research models and related standards related to business requirements and stakeholder requirements, and constructed evaluation models for the system operation concept documents in the ISO/IEC/IEEE 29148. The system operation concept document is a document prepared by organizing the requirements of stakeholders in the organization and sharing the intention of the organization. The evaluation model proposed in this study focuses on evaluating whether the contents related to the system operation concept are faithfully written in the request for proposal. The evaluation items consisted of three items: 'organization status', 'desired changes', and 'operational constraints'. The sample extracted 217 RFPs in the national procurement system. As a result of the analysis, the evaluation model proved to be valid and the internal consistency was maintained. The level of system operation concept was very low, and it was also found to affect the quality of system requirements. It is more important to clearly write stakeholders' requirements than the functional requirements. we propose a news classification methods for sentiment analysis that is effective for bankruptcy prediction model.

• 한국전산유체공학회지
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• 제10권4호통권31호
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• pp.12-17
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• 2005

A computational study of evaluation of current turbulence models is performed for a better prediction of thermal stratification in an upper plenum of a liquid metal reactor. The turbulence models tested in the present study are the two-layer model, the shear stress transport (SST) model, the v2-f model and the elliptic blending mode(EBM). The performances of the turbulence models are evaluated by applying them to the thermal stratification experiment conducted at JNC (Japan Nuclear Corporation). The algebraic flux model is used for treating the turbulent heat flux for the two-layer model and the SST model, and there exist little differences between the two turbulence models in predicting the temporal variation of temperature. The v2-f model and the elliptic blending model better predict the steep gradient of temperature at the interface of thermal stratification, and the v2-f model and elliptic blending model predict properly the oscillation of the ensemble-averaged temperature. In general the overall performance of the elliptic blending model is better than the v2-f model in the prediction of the amplitude and frequency of the temperature oscillation.

• 한국의류학회지
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• 제38권3호
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• pp.347-354
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• 2014

The color appearance of a yarn-dyed woven fabric depends on the color of the yarn as well as on the weave structure. Predicting the final color appearance or formulating the recipe is a difficult task, considering the interference of colored yarns and structure variations. In a modern fabric design process, the intended color appearance is attained through a digital color methodology based on numerous color data and color mixing recipes (i.e., color prediction models, accumulated in CAD systems). For successful color reproduction, accurate color prediction models should be devised and equipped for the systems. In this study, the final colors of yarn-dyed woven fabrics were predicted using six geometric-color mixing models (i.e., simple K/S model, log K/S model, D-G model, S-N model, modified S-N model, and W-O model). The color differences between the measured and the predicted colors were calculated to evaluate the accuracy of various color models used for different weave structures. The log K/S model, D-G model, and W-O model were found to be more accurate in color prediction of the woven fabrics used. Among these three models, the W-O model was found to be the best one as it gave the least color difference between the measured and the predicted colors.

• 한국의류학회지
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• 제38권3호
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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.

• 보건의료산업학회지
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• 제3권2호
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• pp.17-27
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• 2009

The purpose of this study was to identify the impact of e-commerce system satisfaction on e business success factors. We developed the questionnaire for measuring system satisfaction and success factors and tested internal reliability and construct validity. Cronbach's alphas of all system satisfaction factors were above .79 and that of e business success factors were above .82 except partnership (.66). In the regression models, we tried to identify all possible independent variables such as individual factors, organizational factors, system vendor size, order items in their systems and system satisfactions. Using Partial F-test, the regression model with system satisfaction factors, individual and organizational factors was identified as the optimal model in explaining the dependant variable. In the best model, system readiness and timeliness was significant determinants of e-business success evaluation. After using 7 success evaluations factors as the dependant variables, only three models were significant linear models, which were the models with partnership, CEO willingness to e-commerce and e-commerce support. In those models, system readiness and timeliness showed consistent influences to success factors.

• 한국농공학회논문집
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• 제62권1호
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• pp.61-70
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• 2020

To estimate the ventilation volume of mechanically ventilated swine farms, various regression models were applied, and errors were compared to select the regression model that can best simulate actual data. Linear regression, linear spline, polynomial regression (degrees 2 and 3), logistic curve, generalized additive model (GAM), and gompertz curve were compared. Overfitting models were excluded even when the error rate was small. The evaluation criteria were root mean square error (RMSE) and mean absolute percentage error (MAPE). The evaluation results indicated that degree 3 exhibited the lowest error rate; however, an overestimation contradiction was observed in a certain section. The logistic curve was the most stable and superior to all the models. In the estimation of ventilation volume by all of the models, the estimated ventilation volume of the logistic curve was the smallest except for the model with a large error rate and the overestimated model.