• 정보관리학회지
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• 제31권3호
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• pp.181-200
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• 2014

본 연구에서는 주요 검색 포털들의 동영상 검색 서비스를 분석, 평가하였다. 이 연구에서는 네이버와 구글 코리아를 대상으로 동영상의 컬렉션별 분포, 작성 연도별 분포, 중복 동영상의 비중, 광고 동영상의 비중 및 특징, 검색 결과의 화질 등을 조사하고, 동영상의 적합도, 신뢰도, 최신성을 비교, 평가였다. 또한, 동영상의 적합도, 신뢰도에 영향을 미치는 요소들을 조사하였다. 마지막으로 동영상들 중 오류 동영상의 유형 및 특징도 조사하였다. 연구 결과, 구글이 네이버보다 동영상의 적합도가 높고, 네이버가 구글보다 동영상의 최신성이 다소 높은 것으로 나타났다. 동영상의 화질은 구글이 네이버보다 높은 것으로 나타났다. 또한 구글과 네이버 모두 중복되는 동영상의 비중이 높은 편이었으며, 광고 동영상은 네이버에서 구글보다 더 많이 노출되었다. 본 연구의 결과는 향후 포털들의 동영상 검색 서비스의 개선에 활용될 수 있을 것으로 기대된다.

• 한국도로학회논문집
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• 제16권3호
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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.

• 대한간호학회지
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• 제41권4호
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• pp.568-579
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• 2011

Purpose: The purpose of the study was to understand and describe the hospital workers' experience related to the hospital evaluation program implemented in Korea between 2004 and 2009. Methods: During 2010, data were collected using focus group interviews. Four focus group interviews were held with a total of 28 hospital workers participating. All interviews were recorded and transcribed as they were spoken, and data were analyzed using qualitative content analysis. Results: Nine themes emerged from the analysis: 1) Positive change in the necessity of the evaluation; 2) Improvement in the hospital system, facilities, and human resources; 3) Unity through cooperation among departments; 4) Nursing work overload; 5) Lack of physicians' awareness and responsibilities; 6) Unfair and unrealistic evaluation items; 7) Lack of credibility of the outcome; 8) Shifting responsibility for negative outcomes to the workers; 9) Lack of pragmatic utility. Conclusion: The results of the study demonstrate that the hospital evaluation program played a key role in improving some work environments and communication among departments. At the same time, they show various negative themes resulting from the context of very authoritarian hospital systems and a connection-oriented society in Korea.

• 한국융합학회논문지
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• 제8권2호
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• pp.197-204
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• 2017

본 연구는 창의융합인재 선발을 위한 인성교육 및 인성평가의 요소를 탐색하기 위해 예비대학생을 대상으로 한 설문조사를 실시하였다. 연구 결과, 초중등 교육과정에서 타인배려, 대인관계능력, 정직성 관련 인성교육 프로그램이 가장 높은 빈도로 운영되고 있는 것으로 조사되었다. 또한 인성교육 프로그램 효과 및 중요도에 대해 대인관계능력, 타인배려, 성실성 순으로 프로그램 효과가 높으며 중요하게 인식하고 있는 것으로 나타났다. 성별에 따른 인식의 차이를 비교한 결과, 대학생을 대상으로 하는 인성교육의 필요성과 대입 전형에서 인성이 평가요소로 반영될 필요성에 대한 인식에서는 성별에 따른 차이가 유의하게 나타났다. 이러한 연구 결과를 토대로 중 고등학교의 인성 교육과정과 대학 입학전형 제도 개선을 위한 정책 제언을 제시하였다.

• 한국콘텐츠학회논문지
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• 제12권4호
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• pp.495-509
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• 2012

학술지는 단순한 학술정보의 교류수단을 넘어 국가의 학문 수준을 가늠하는 지표라고 할 수 있다. 본 연구는 학술지의 질적 수준을 높일 수 있는 방안의 하나로서 현행 학술지 평가제도의 개선책을 제시하고자 하였다. 이를 위해 631명의 국내 연구 인력을 대상으로 현행 학술지 평가제도에 대한 인식을 조사(인터넷 서베이)하였다. 여기에서 나타난 주요 내용은 첫째, 현재의 등재절차 제도를 유지하면서 상향등급으로의 전환 점수를 강화하되 등급유지 기간은 연장할 필요가 있다. 둘째, 현행 학술지 평가의 공정성과 합리성을 높이기 위해 평가자의 전문성과 신뢰성을 높여야 한다. 셋째, 신규 학술지의 진입 평가는 보다 엄격하게 강화시켜야 한다. 넷째, 국내 학술지 인용회수 및 인용지수 적용이 요구된다. 예컨대 한국학술지 인용색인 정보(KCI)에 기반을 둔 Kor-Factor를 적극 활용하는 방안이 바람직하다. 다섯째, 국내에서 발행되는 등재(후부) 학술지의 발행규모(발행종수)를 적정한 수준에서 제한할 필요가 있다.

• 대한한의학방제학회지
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• 제27권1호
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• pp.31-44
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• 2019

Objective : Herbal dispensaries, where medications are prepared for patients, require specific preparation and operations management for safe herbal medicines. This study aims to propose improvements in the herbal medicine preparation and operation of the herbal dispensaries as series study of the "A Survey on the Management Status of Extramural Herbal Dispensaries" Methods : We first checked current management regulations. In addition, we compared and analyzed related laws which are "State management norm of Traditional Chinese Medicine dispensaries", "Enforcement Rule of Medicinal Product Safety" and " Hazard Analysis and Critical Control Point(HACCP)", to introduce the assessment items of herbal dispenses evaluation and certification system. Results : In this study, we found that the current regulations, "Guideline on Installation and Utilization of Extremal Herbal Pharmaceutical Facility and Shared-use of Herbal Dispensary", are insufficient to ensure the quality and safety of herbal medicines. We suggested articles for the proper management of herbal dispensaries and these were introduced to the Herbal dispensary evaluation and certification system. Conclusion : We recommend evaluation articles in Herbal dispensary evaluation and certification systems need to be popular among herbal dispensaries, then Korean herbal medicine could restore credibility from the people.

• 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.

• Structural Monitoring and Maintenance
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• 제6권2호
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• pp.125-145
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• 2019

Bridge scour is one of the predominant causes of bridge failure. Current climate deterioration leads to increase of flooding frequency and severity and thus poses a higher risk of bridge scour failure than before. Recent studies have explored extensively the vibration-based scour monitoring technique by analyzing the structural modal properties before and after damage. However, the state-of-art of this area lacks a systematic approach with sufficient robustness and credibility for practical decision making. This paper attempts to develop a data-driven methodology for bridge scour monitoring using support vector machines. This study extracts features from the bridge dynamic responses based on a generic sensitivity study on the bridge's modal properties and selects the features that are significantly contributive to bridge scour detection. Results indicate that the proposed data-driven method can quantify the bridge scour damage with satisfactory accuracy for most cases. This paper provides an alternative methodology for bridge scour evaluation using the machine learning method. It has the potential to be practically applied for bridge safety assessment in case that scour happens.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1426-1447
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• 2021

The payoff game between task publishers and users in the mobile crowdsensing environment is a hot topic of research. A optimal payoff selection model based on stochastic evolutionary game is proposed. Firstly, the process of payoff optimization selection is modeled as a task publisher-user stochastic evolutionary game model. Secondly, the low-quality data is identified by the data quality evaluation algorithm, which improves the fitness of perceptual task matching target users, so that task publishers and users can obtain the optimal payoff at the current moment. Finally, by solving the stability strategy and analyzing the stability of the model, the optimal payoff strategy is obtained under different intensity of random interference and different initial state. The simulation results show that, in the aspect of data quality evaluation, compared with BP detection method and SVM detection method, the accuracy of anomaly data detection of the proposed model is improved by 8.1% and 0.5% respectively, and the accuracy of data classification is improved by 59.2% and 32.2% respectively. In the aspect of the optimal payoff strategy selection, it is verified that the proposed model can reasonably select the payoff strategy.

• 지식경영연구
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• 제13권3호
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• pp.55-77
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• 2012

Selecting promising technology is becoming more and more difficult due to the increased number and complexity. In this study, we propose hybrid AHP/DEA-AR method and hybrid AHP/DEA-AR-G method to evaluate efficiency of technology alternatives based on ordinal rating data collected through survey to technology experts in a certain field and select efficient technology alternative as promising technology. The proposed method normalizes rating data and uses AHP to derive weights to improve the credibility of analysis, then in order to avoid basic DEA models' problems, use DEA-AR and DEA-AR-G to evaluate efficiency of technology alternatives. In this study, we applied the proposed methods to clean technology and compared with the basic DEA models. According to the result of the comparison, we can find that the both proposed methods are excellent in confirming most efficient technology, and hybrid AHP/DEA-AR method is much easier to use in the process of technology selection.