• Journal of the Korean Data and Information Science Society
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• 제14권3호
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• pp.545-551
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• 2003

Robust design is to identify appropriate settings of control factors that make the system's performance robust to changes in the noise factors that represent the source of variation. In this paper we propose how to simultaneously optimize multiple quality characteristics using the principal component analysis of multivariate statistical analysis. An example is illustrated to compare it with already proposed method.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2010년 춘계학술대회논문집
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• pp.451-455
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• 2010

In this study, the various supply system of LRE such as a feed-line, an elbow, and an orifice as a part of integrated analyzing has been combined to develop the performance analysis program. Computational analysis has been used to compare the results and to verify the validity and limitation conditions of the performance analysis program by changing orifice positions.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2015년도 제46회 하계학술대회
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• pp.884-885
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• 2015

This paper presents the characteristic analysis and experiment of pitching moment in permanent magnet linear synchronous motor (PMLSM) for precision machine tools. In this paper, we define force characteristics of the moment and the moment analysis by the finite element method. Manufacture experiment and we will compare the results of finite element analysis and experimental results.

• Genomics & Informatics
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• 제5권3호
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• pp.129-132
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• 2007

arraylmpute is a software for exploratory analysis of missing data and imputation of missing values in microarray data. It also provides a comparative analysis of the imputed values obtained from various imputation methods. Thus, it allows the users to choose an appropriate imputation method for microarray data. It is built on R and provides a user-friendly graphical interface. Therefore, the users can easily use arraylmpute to explore, estimate missing data, and compare imputation methods for further analysis.

• 한국신뢰성학회지:신뢰성응용연구
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• 제15권3호
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• pp.145-148
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• 2015

The products to meet the requirement of are installed in nuclear power plant and the reliability target should be provided in the requirement. However, it is not easy to set a reliability target using quantitative analysis. The objective of this paper is to propose a method of reliability target setting considered warranty cost for process controller and then compare a reliability target with reliability analysis result.

• 한국공간구조학회논문집
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• 제6권4호
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• pp.53-61
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• 2006

본 연구에서는 임의의 반복하중 작용시 강구조물에 발생하는 대변형 및 반복소성거동을 정확히 예측하기 위하여 유한변위이론과 반복소성이력모델을 적용한 3차원 탄소성 유한요소 해석기법을 개발하였다. 반복소성이력모델은 강재의 단조재하실험 및 반복하중실험 결과에 기초하여 정식화되었다. 개발된 해석기법의 정도는 Bilinear모델 및 미소변위이론을 적용한 해석기법 및 실험결과와 비교하여 검증하였다. 본 연구에서 개발한 유한변위이론과 반복소성이력모델을 적용한 3차원 유한요소 해석기법이 임의의 반복하중을 받는 원형강교각의 대변형 및 반복소성거동을 정확히 예측할 수 있음을 알 수 있었다.

• 한국지반환경공학회 논문집
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• 제18권9호
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• pp.11-18
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• 2017

수치해석기법을 이용한 말뚝의 거동특성 예측방법은 정재하시험비가 고가이기 때문에 공사 전 말뚝의 거동을 예측할 수 있다는 장점으로 설계단계에서 널리 이용되고 있지만 그 신뢰성에 대한 연구는 부족한 실정이다. 본 연구에서는 실제 현장에서 말뚝의 거동과 수치해석으로 예측한 말뚝의 거동을 비교함으로써 수치해석 기법의 신뢰성을 검증하였다. 지반과 말뚝의 상호작용에 의한 말뚝의 거동을 정확하게 파악하기 위하여 정재하시험이 수행되는 지반에서 시추조사, 현장원위치시험 등을 통해 지반특성을 확인하였고, 실규모 정재하시험을 수행하여 말뚝의 거동특성을 분석하였다. 정재하시험이 수행된 방식과 동일하게 수치해석을 모사하여 재하시험과 동일한 하중단계에서 말뚝의 거동을 수치해석으로 모사하여 현장시험 결과와 비교함으로써 수치해석 기법의 신뢰성을 검증하였다.

• 농촌계획
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• 제14권4호
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• pp.47-56
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• 2008

This study aims to compare the revealed activities of visitors to rural tourism villages through photographic album in the internet homepage, and to give a suggestion for building new homepage showing the differences in mountain eco-tourism village. According to the different types of village development projects, photographs in internet homepage were analysed in order to compare the centered activities of visitors to agriculture and mountain tourism villages. Landscape types such as natural landscape, agricultural landscape, and village living landscape were classified to execute a content analysis on photographic album in the homepage. Reliability of the analysis between coder was achieved as 0.81. Results were summarized as follows. Firstly, village identity of homepage was mostly determined by the characteristics of internet portal involved. Secondly, adults were revealed as main subjects of tourism activities in mountain village, whereas lots of children were involved in agricultural village. Thirdly, natural landscape was used as a place of activities in mountain village, while village living landscape was photographed as a main background. It was suggested that the photographs revealing activities with children in the background of natural landscape should be uploaded to show the identity of mountain village regardless of the characteristics of internet portal.

• 말소리와 음성과학
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• 제5권4호
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• pp.71-78
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• 2013

The purpose of this study was to compare the acoustic voice outcomes of children with cochlear implant to those of children with normal hearing. Participants were 41 children using unilateral cochlear implant (18 males and 23 females), and children with normal hearing from the same age and sex. Mean age of implantation was approximately 3 years old, mean duration of implant use was 4 years in CI group. Acoustic analyses were performed using MDVP of CSL. Speech samples were 3 sustained vowels, /a, i, u/. 9 parameters (F0, Fhi, Flo, Jitter, Shimmer, vF0, vAm, NHR, and SPI) were analyzed. Children with CI did not show the significant differences in those parameters after the vowel /a/ phonation. Meanwhile, there were significantly different results in F0, Fhi, vF0, and SPI after /i, u/ phonation. These results revealed that differences of voice characteristics in children with CI compare to children with NH persist regarding vowel context. It suggests that high vowels would recommend as speech samples for acoustic evaluation. Futhermore perceptual analysis and speech therapy for phonation control would be necessary for children with CI.

• 품질경영학회지
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• 제48권3호
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• pp.421-431
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• 2020

Purpose: The purpose of this study is to compare and analyze the tokenizer in natural language processing for customer satisfaction in sentiment analysis. Methods: In this study, a supervised learning-based tokenizer Mecab-Ko and an unsupervised learning-based tokenizer SentencePiece were used for comparison. Three algorithms: Naïve Bayes, k-Nearest Neighbor, and Decision Tree were selected to compare the performance of each tokenizer. For performance comparison, three metrics: accuracy, precision, and recall were used in the study. Results: The results of this study are as follows; Through performance evaluation and verification, it was confirmed that SentencePiece shows better classification performance than Mecab-Ko. In order to confirm the robustness of the derived results, independent t-tests were conducted on the evaluation results for the two types of the tokenizer. As a result of the study, it was confirmed that the classification performance of the SentencePiece tokenizer was high in the k-Nearest Neighbor and Decision Tree algorithms. In addition, the Decision Tree showed slightly higher accuracy among the three classification algorithms. Conclusion: The SentencePiece tokenizer can be used to classify and interpret customer sentiment based on online reviews in Korean more accurately. In addition, it seems that it is possible to give a specific meaning to a short word or a jargon, which is often used by users when evaluating products but is not defined in advance.