• Title/Summary/Keyword: 신뢰도 분석 방법

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A reliability measure of three dimensional shapes based on statistical shape analysis (통계적 형상분석을 이용한 3차원 형상의 신뢰도 계수)

  • Shin, Sang Min
    • The Korean Journal of Applied Statistics
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    • v.32 no.1
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    • pp.15-27
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    • 2019
  • The reliability of the data means the overall consistency of the measurement results. Methods for evaluating reliability have been continuously studied because it affects the results of the statistical analysis. Cronbach's ${\alpha}$ coefficient or intraclass correlation coefficient is used for reliability evaluation; however, these measures cannot be applied to data consisting of three-dimensional coordinates to represent an object. In this study, we propose a measure to evaluate the reliability of three dimensional shapes based on statistical shape analysis that is made possible by extracting the shape information from the measured three dimensional coordinates and decomposing the shape variation.

Design and Reliability Analysis of the Through-Bulkhead Initiation Module Using CH-6 (CH-6를 적용한 격벽 착화모듈 설계 및 신뢰도 분석)

  • Jang, Seung-Gyo;Cha, Hong-Seok;Kang, Won-Kyu
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2009.05a
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    • pp.327-330
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    • 2009
  • A Through-Bulkhead Initiation Module(TBIM) using CH-6 was designed. The TBIM works as the shock-wave generated by a donor charge transmits to the acceptor charge. The structural safety of TBIM housing was calculated via modeling analysis, and the ignition characteristic was proved by 10 cc closed bomb test(CBT). The reliability analysis was made using Probit method on the basis of CBT results. The optimal bulkhead thickness of TBIM which is the most important design parameter was determined using reliability analysis.

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Dependability Analysis Methodology and Tools based on SMART for SSD (SSD를 위한 SMART 기반 신뢰성 분석 방법론 및 도구)

  • Kim, Se-Soog;Lee, Sang-Yup;Jeon, Jeong-Ho;Choi, Jong-Moo;Yang, Joong-Seob;Mo, Yeon-Jin;Shin, Young-Kyun
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06b
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    • pp.33-36
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    • 2011
  • 본 논문에서는 SMART(Self-Monitoring Analysis and Reporting Technology)를 기반으로 SSD(Solid State Drives) 저장 장치의 신뢰성을 분석할 수 있는 방법론과 도구를 제안한다. 방법론은 SSD를 구성하는 플래시 메모리의 결함 종류, 결함들을 효과적으로 모니터링 할 수 있는 SMART 속성과 임계값, 그리고 이를 기반으로 SSD의 신뢰성을 예측할 수 있는 모델로 구성된다. 이 방법론은 신뢰성 분석 도구로 구현 되었으며, 이 도구는 Workload generator, SMART monitor, Dependability analyzer, 그리고 GUI viewer로 구성된다. 실제 두 회사에서 생산한 6개의 SSD를 이용하여 실험한 결과, SMART를 기반으로 SSD의 고장 예측이 가능하며, 여러 속성들을 동시에 고려하였을 때 예측의 정확도가 높아짐을 발견하였다.

Effect of Dance Instructors' Education Support on Instructor' Trust and Dance Attachment (무용지도자의 교육지원이 지도자신뢰 및 무용애착도에 미치는 영향)

  • Kim, Jeong-Ryeon;Kim, Myong-Ju;Yoon, Min-Suk
    • The Journal of the Korea Contents Association
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    • v.12 no.11
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    • pp.145-154
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    • 2012
  • The major purpose of this study is to examine how the support for dance education of dance majors affects the instructor' trust and dance attachment. This research was executed as the subjects who are currently the student of dance majors of a college in Seoul, Kyonggi, Daejeon and Chungchungnam-do, one college were selected from each district. And by using purposive sampling method, total of 262 peoples that were used in final analysis was extracted. In this study, adequacy and reliability of the questionnaire were verified by factor analysis, reliability analysis, regression analysis and course analysis by using SPSS18.0. The conclusion is as follows. First, instructor's support for dance education influences on instructor' trust. Secondly, support for dance education partly influences on dance attachment. Thirdly, instructor' trust influences on dance attachment. Lastly, support for dance education influences dance attachment throughout instructor' trust. Especially, support for dance education' influence for dance attachment throughout instructor' trust is more influential than support for dance education' influence for dance attachment directly. Now it is obvious that instructor' trust is the important variable that intermediate support for dance education and dance attachment.

Development of the Portable Standard System for the Vehicle Detectors' Evaluation (차량검지기 성능평가를 위한 이동식 기준 장비 개발)

  • Lee, Sang Hyup;Baik, Nam Cheol;Heo, Woon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.3D
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    • pp.353-359
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    • 2006
  • Image frame analysis is a conventional way of evaluating loop detector's performance. In image frame analysis, the time to evaluate performance is linearly proportional to the number of evaluated subjects, and the results can be subjective, depending on operator's personal evaluation standards and physical condition. Also, this method is often inferior in accuracy to that provided by the evaluated devices. Therefore, it is critical to develop a portable standard system which has better accuracy and more objectivity in evaluating vehicle detectors. This paper discusses function and reliability of tape-switch detector, which can be a replacement for image frame analysis, for effectively measuring traffic volume, speed, and occupancy.

Determination of Wood Flour Content in WPC Through Thermogravimetic Analysis and Accelerator Mass Spectrometry (열중량 분석기와 질량가속기를 이용한 목재·플라스틱 복합재의 목질섬유함량 분석)

  • Gwon, Jae-Gyoung;Lee, Dan-Bee;Cho, Hye-Jung;Chun, Sang-Jin;Choi, Don-Ha;Lee, Sun-Young
    • Journal of the Korean Wood Science and Technology
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    • v.45 no.5
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    • pp.572-579
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    • 2017
  • Determination of the wood content in wood plastic composite (WPC) is crucial to form reliable WPC market. WPC with simple formulation consisting of only two components (wood flour and polypropylene) was examined using thermogravimetric analysis (TGA) and accelerator mass spectrometry (AMS) for determining wood content in the WPC. TGA method using derivative peak temperature (DTp) of polypropylene under low heating rate ($5^{\circ}C/min$) showed more reliable calibration curve and lower error factor compared to method of using the percentage of weight loss of wood flour. In addition, AMS using bio-based carbon content showed greater reliability for the determination of wood content in the WPC in comparison with the TGA method.

An analysis of the factors influencing satisfaction, reliance, and loyalty to the life insurance companies (생명보험회사에 대한 만족도, 신뢰도, 충성도에 영향을 미치는 요인 분석)

  • Kang, Jung-Chul;Jung, Se-Chang
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.4
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    • pp.713-717
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    • 2009
  • The purpose of this paper is to analyse the factors influencing satisfaction, reliance, and loyalty to the life insurance companies. The factors are divided into two categories: the characteristics of life insurance companies and sellers. Factor analysis and multiple regression is employed. Two factors are found in the analysis of the characteristics of life insurance companies. Those are quality and social liability of life insurance companies. One factor are extracted from the analysis of the characteristics of sellers. We also find each one factor in the factor analysis of satisfaction, reliance, and loyalty. The findings are summarized as follows. Firstly, the role of sellers are very important for the three performance variables, namely satisfaction, reliance, and loyalty. Secondly, the factor for social liability of life insurance companies is statistically significant to the satisfaction performance. Finally, The three explaining variables are statistically significant to the reliance and loyalty performance.

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Estimating Confidence Interval of Value of Travel Time (통행시간가치의 신뢰구간 추정)

  • 조중래
    • Journal of Korean Society of Transportation
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    • v.16 no.4
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    • pp.219-224
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    • 1998
  • 통행시간가치에 대한 신뢰구간추정 방법론을 제시하고 서울시 출근통행자의 시간가치 신뢰구간의 추정을 통하여 그 적용사례를 예시하였다. 사례분석을 통하여 서울시 출근통행자의 평균시간가치는 시간당 7,341원으로 추정되었고, 95%신뢰구간의 하한치는 5,454(원/시간), 상한치는 10,806(원/시간)으로 추정되었다.

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소셜 데이터에서 재난 사건 추출을 위한 사용자 행동 및 시간 분석을 반영한 토픽 모델

  • ;Lee, Gyeong-Sun
    • Information and Communications Magazine
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    • v.34 no.6
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    • pp.43-50
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    • 2017
  • 본고에서는 소셜 빅데이터에서 공공안전에 위협되고 사회적으로 이슈가 되는 재난사건을 추출하기 위한 방법으로 소셜 네트워크상에서 사용자 행동 분석과 시간분석을 반영한 토픽 모델링 기법을 알아본다. 소셜 사용자의 글 수, 리트윗 반응, 활동주기, 팔로워 수, 팔로잉 수 등 사용자의 행동 분석을 통하여 활동적이고 신뢰성 있는 사용자를 분류함으로써 트윗에서 스팸성과 광고성을 제외하고 이슈에 대해 신뢰성 높은 사용자가 쓴 트윗을 중요하게 반영한다. 또한, 트위터 데이터에서 새로운 이슈가 발생한 것을 탐지하기 위해 시간별 핵심어휘 빈도의 분포 변화를 측정하고, 이슈 트윗에 대해 감성 표현 분석을 통해 핵심이슈에 대해 사건 어휘를 추출한다. 소셜 빅데이터의 특성상 같은 날짜에 여러 이슈에 대한 트윗이 많이 생성될 수 있기 때문에, 트윗들을 토픽별로 그룹핑하는 것이 필요하므로, 최근 많이 사용되고 있는 LDA 토픽모델링 기법에 시간 특성과 사용자 특성을 분석한 시간상에서의 중요한 사건 어휘를 반영하고, 해당이슈에 대한 신뢰성 있는 사용자가 쓴 트윗을 중요시 반영하도록 토픽모델링 기법을 개선한 소셜 사건 탐지 방법에 대해 알아본다.