• Title/Summary/Keyword: 신뢰도 추정

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An Optimization Algorithm for Blind Channel Equalizer Using Signal Estimation Reliability (신호 추정 신뢰도를 활용한 블라인드 채널 등화기 최적화 알고리즘)

  • Oh, Kil Nam
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.4
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    • pp.318-324
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    • 2013
  • For blind channel equalization, the reliability of signal estimate determines the convergence speed and steady-state performance of the equalizer. Therefore the nonlinear estimator and reference signal being used in signal estimate should be chosen appropriately. In this paper, to increase the reliability of the signal estimate, two errors were obtained by applying coarse signal points and dense signal points respectively to signal estimate, the relative reliabilities of two errors were calculated, then the equalizer was adapted deferentially utilizing the reliabilities. At this point, by applying two errors alternately, two modes of operation were smoothly combined. Through computer simulations the proposed method was confirmed to achieve fast transient state convergence and low steady-state error compared to traditional methods.

A Comparative Study on Misconception about Statistical Estimation that Future Math Teachers and High School Students have (통계적 추정에 관한 예비 수학교사들과 고등학생들의 오개념 비교 분석)

  • Han, Ga-Hee;Jeon, Youngju
    • Journal of the Korean School Mathematics Society
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    • v.21 no.3
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    • pp.247-266
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    • 2018
  • In this paper, three main concepts are chosen for this statistical estimation study, based on previous studies: confidence interval and reliability, sampling distribution of mean and population mean estimation, and relationships between elements of confidence interval. The main objectives of this study are as follows: 1. How are the attitudes that future math teachers and high school students have to ward the statistical estimation? 2. Is there some difference in the awareness of misconceptions about the statistical estimation that future math teachers and high school students have? A study result shows that both groups have difficulties in understanding statistical concepts and their meaning used in Unit Statistical Estimation. They tend to wrongly think that the meaning of reliability is the same as that of probability. They also have difficulties in understanding sample variance in the sampling distribution of mean, which makes it impossible to connect with population mean estimation. It is shown that relationships between elements consisting of confidence interval are not consistent.

Comparative Study of AI Models for Reliability Function Estimation in NPP Digital I&C System Failure Prediction (원전 디지털 I&C 계통 고장예측을 위한 신뢰도 함수 추정 인공지능 모델 비교연구)

  • DaeYoung Lee;JeongHun Lee;SeungHyeok Yang
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.1-10
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    • 2023
  • The nuclear power plant(NPP)'s Instrumentation and Control(I&C) system periodically conducts integrity checks for the maintenance of self-diagnostic function during normal operation. Additionally, it performs functionality and performance checks during planned preventive maintenance periods. However, there is a need for technological development to diagnose failures and prevent accidents in advance. In this paper, we studied methods for estimating the reliability function by utilizing environmental data and self-diagnostic data of the I&C equipment. To obtain failure data, we assumed probability distributions for component features of the I&C equipment and generated virtual failure data. Using this failure data, we estimated the reliability function using representative artificial intelligence(AI) models used in survival analysis(DeepSurve, DeepHit). And we also estimated the reliability function through the Cox regression model of the traditional semi-parametric method. We confirmed the feasibility through the residual lifetime calculations based on environmental and diagnostic data.

Template Fusion for Fingerprint Recognition (지문 등록을 위한 템플릿 융합 알고리즘)

  • 류춘우;문지현;김학일
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.2
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    • pp.51-64
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    • 2004
  • This paper proposes an algerian of generating a tuner-template from multiple fingerprint impressions using a data fusion technique for fingerprint enrollment. The super-template is considered as a single fingerprint template which contains most likely true minutiae based on multiple fingerprint images. The proposed algorithm creates the super template by utilizing a recursive Bayesian estimation method (RBEM), which assumes a sequential fingerprint input model and estimates the credibility of the minutiae in previous input templates froma current input template. Consequently. the RBEM assigns a higher credibility to commonly detectable minutiae from several input templates and a lower credibility to rarely found minutiae from other input templates. Likewise, the RBEM is able to estimate a credibility of the minutia type (ridge ending or bifurcation). Preliminary experiments demonstrate that, as the number of fingerfrint images increases, the performance of recognition can be improved while maintaining the processing time and the size of memory storage for tile super-template almost constant.

A Study On The Delayed S Shaped Software Reliability Growth Model (지연 S자형 소프트웨어 신뢰도 성장모델에 관한 연구)

  • 문외식
    • Journal of the Korea Society of Computer and Information
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    • v.1 no.1
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    • pp.195-210
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    • 1996
  • For predicting the parameters and estimating the goodness of fit reliability growth model based on NHPP(Non Homogeneous Poission Process) among various reliability growth models, a Delayed S Shaped SRGM Tool is designed and Implemented. The Implemented tool is applied to real software error data, and the result Is compared and annalized.

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A Study on Analysis of NVP Reliability Using Genetic Algorithms (GA를 이용한 NVP 신뢰도 분석에 관한 연구)

  • Sin, Gyeong-Ae;Han, Pan-Am
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.2
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    • pp.326-334
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    • 1999
  • There are the fault tolerance technology and the fault avoidance technology to analyze and evaluate the performance of computer system. To improve the relibility of software The N-Version Programming (NVP) technology is known to be the most objective and quantitive. However, when discrete probability distribution is used as estimation model, the values of it's component reliability should be same. In this paper, to resolve this problem, we adapted the genetic algorithms to NVP technology and implement the optimized simulate. and the results were analyzed and estimated. Through this study, we could optimize the reliability of each component and estimate the optimum count in the system reliability.

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A Study on the Estimation of Launch Success Probability for Space Launch Vehicles Using Bayesian Method (베이지안 기법을 적용한 우주발사체의 발사 성공률 추정에 관한 연구)

  • Yoo, Seung-Woo;Kim, In-Gul
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.48 no.7
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    • pp.537-546
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    • 2020
  • The reliability used as a performance indicator during the development of space launch vehicle should be validated by the launch success probability, and the launch data need to be fed back for reliability management. In this paper, the launch data of space launch vehicles around the world were investigated and statistically analyzed for the success probabilities according to the launch vehicle models and maturity. The Bayesian estimation of launch success probability was reviewed and analyzed by comparing the estimated success probabilities using several prior distributions and the statistical success probability. We presented the method of generating prior distribution function and considerations for Bayesian estimation.

Estimating the non-use values of Gum river estuary using contingent valuation method - by Turnbull nonparametric estimation method (조건부가치측정법을 이용한 금강 하구의 비사용가치 추정 - Turnbull 비모수적 추정 방법을 적용하여)

  • Shin, Youngchul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.11
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    • pp.479-485
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    • 2017
  • This study estimated the non-use values of the Gum river estuary which are not related to the direct or indirect use of the Gum river estuary using the contingent valuation method (CVM). The non-use values of the Gum river estuary were explained and asked to be evaluated in the CVM questionnaire and estimates of the WTPs(willingness-to-pay) were elicited using the Turnbull nonparametric estimation methods on the dichotomous choice CV data. Results found the Turnbull lower bounded mean WTP per year for non-use value of the Gum river estuary was estimated at 5,822 won (95% C.I. 5,295 ~ 6,349 won) from single dichotomous CV data, and 6,205 won (95% C.I. 5,701 ~ 6,710 won) from double dichotomous CV data. The mean of two WTP estimates, 6,014 won (95% C.I. 5,498 ~ 6,529 won), was used to calculate the annual total non-use value of the Gum river estuary. Therefore, the non-use value of the Gum river estuary was estimated at 220.3 billion won (95% C.I. 201.4 - 239.2 billion won) annually. This non-use value of the Gum river estuary was composed of the bequest value totaling 68.3 billion won (95% C.I. 62.5 - 74.2 billion won), the existence value of 58.0 billion won (95% C.I. 53.0 - 63.0 billion won), the option value of 57.7 billion won (95% C.I. 52.7 - 62.6 billion won), and the vicarious consumption value totaling 36.3 billion won (95% C.I. 33.1 - 39.4 billion won).

휴대용 CST Deck부의 가속시험을 활용한 출하 수명 보증 시험법 개발

  • 허양현;고영준
    • Proceedings of the Korean Reliability Society Conference
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    • 2000.11a
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    • pp.229-233
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    • 2000
  • 본 Study는 휴대용 CST Deck부의 신뢰성 개선/보증활동 중에서 출하수명 보증을 위해 개발한 가속시험에 관한 것이다. 휴대용 CST의 사용 환경과 Deck부의 고장 특성을 고려하여 진동 Stress를 가속 인자로 검토하였고, 예비 시험을 통해 타당성을 확인하였다. 3 수준에서 실시한 수명 Data를 역거듭 제곱 모형을 적용하여 사용자 수준에서의 신뢰성 정보를 추정하였고, 이를 시장 Data와 비교하여 모형의 타당성을 검토하였다. 3 수준 중에서 가장 Stress가 높은 수준에서의 시험을 출하 수명 보증 시험으로 선정하였고, 이 때 가속 효과는 약 55배인 것으로 추정된다.

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Confidence Interval Estimation of the Earthquake Magnitude for Seismic Design using the KMA Earthquake Data (기상청 지진 자료를 이용한 내진설계 지진규모의 신뢰구간 추정)

  • Cho, Hong Yeon;Lee, Gi-Seop
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.29 no.1
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    • pp.62-66
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    • 2017
  • The interest on the potential earthquake magnitude and the request on the earthquake-resistant design examination for coastal structures are emerged because of the recently occurred magnitude 5.8 earthquake in Gyeoung-Ju, Korea. In this study, the magnitude and its confidence intervals with the return periods are estimated using the KMA earthquake magnitude data (over 3.5 and 4.0 in magnitude) by the non-parametric extreme value analysis. In case of using the "over 4.0" data set, the estimated magnitudes on the 50- and 100-years return periods are 5.81 and 5.94, respectively. Their 90% confidence intervals are estimated to be 5.52-6.11, 5.62-6.29, respectively. Even though the estimated magnitudes have limitations not considering the spatial distribution, it can be used to check the stability of the diverse coastal structures in the perspective of the life design because the potential magnitude and its confidence intervals in Korea are estimated based on the available 38-years data by the extreme value analysis.