• Title/Summary/Keyword: confidence probability

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Seismic Performance Evaluation Methodology for Nuclear Power Plants (원전 구조물의 내진성능 평가 방법론 고찰)

  • Ann, Hojune;Kim, Yousok;Kong, Jung Sik;Choi, Youngjin;Choi, Se Woon;Lee, Min Seok
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.14 no.2
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    • pp.32-40
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    • 2018
  • Since 2000, the frequency of earthquakes beyond the 5.0 magnitude quake has been increasing in the Korean peninsula. For instance, the 5.0-magnitude earthquake in Baekryong-do in 2003 has occurred, and recent earthquake with Gyeongju(2016) and Pohang(2017) measured respectively magnitude of 5.2 and 5.8 on the Richter scale. As results, the public concern and anxiety about earthquakes are increasing, and therefore it is necessarily required for social infrastructure to reinforce seismic design and energy production facilities directly related to the national economy and security. This study represents the analysis of seismic performance evaluation methodology such as Seismic Margin Assessment (SMA), Seismic Probabilistic Risk Assessment (SPRA), High Confidence Low Probability Failure (HCLPF) in nuclear power plants in order to develop optimal seismic performance improvement. Current methodologies to evaluate nuclear power plants are also addressed. Through review of the nuclear structure evaluation past and current trend, it contributes to be the basis for the improvement of evaluation techniques on the next generation of nuclear power plants.

A new structural reliability analysis method based on PC-Kriging and adaptive sampling region

  • Yu, Zhenliang;Sun, Zhili;Guo, Fanyi;Cao, Runan;Wang, Jian
    • Structural Engineering and Mechanics
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    • v.82 no.3
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    • pp.271-282
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    • 2022
  • The active learning surrogate model based on adaptive sampling strategy is increasingly popular in reliability analysis. However, most of the existing sampling strategies adopt the trial and error method to determine the size of the Monte Carlo (MC) candidate sample pool which satisfies the requirement of variation coefficient of failure probability. It will lead to a reduction in the calculation efficiency of reliability analysis. To avoid this defect, a new method for determining the optimal size of the MC candidate sample pool is proposed, and a new structural reliability analysis method combining polynomial chaos-based Kriging model (PC-Kriging) with adaptive sampling region is also proposed (PCK-ASR). Firstly, based on the lower limit of the confidence interval, a new method for estimating the optimal size of the MC candidate sample pool is proposed. Secondly, based on the upper limit of the confidence interval, an adaptive sampling region strategy similar to the radial centralized sampling method is developed. Then, the k-means++ clustering technique and the learning function LIF are used to complete the adaptive design of experiments (DoE). Finally, the effectiveness and accuracy of the PCK-ASR method are verified by three numerical examples and one practical engineering example.

A Study on the Weight Change and Exercise Immersion for Activation of Aerobic Dance (에어로빅댄스 활성화를 위한 체중변화와 운동몰입에 관한 연구)

  • Lee, Seung-Do;Kim, Kyoung-Hyun
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.5
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    • pp.115-130
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    • 2020
  • The purpose of this study is to analyze the difference between A Study on the Weight Change and Exercise Immersion for Activation of Aerobic Dance and to suggest the continuous activation of Aerobic Dance. To achieve this purpose, a questionnaire was conducted using a convenience sampling method, which is one of non-probability sampling, in April 2020, targeting general aerobic dance members in Gyeongnam. The results of this study are as follows. First, the demographic characteristics were partially different. The age was 40 to 49 years, height was more than 160cm, occupation was housewives, weight change was more than -3kg, participation intensity was more than 100 minutes, participation frequency was 4 days, and participation period was less than 5 years. Second, the results of this study are as follows: Weight Change(Body Confidence, Activity Confidence, Dance Confidence, Psychological Stability Effect, Dance Activity Effect, Perform-motion Effect) and Exercise Immersion(Behavior immersion, Cognitive immersion) were partially high There was a difference. Third, the results of this study are as follows: Weight Change(Body Confidence, Activity Confidence, Dance Confidence, Psychological Stability Effect, Dance Activity Effect, Perform-motion Effect) and Exercise Immersion(Behavior immersion, Cognitive immersion) were partially high It was shown that the influence was.

Aircraft Classification with Fusion of HRRP and JEM Based on the Confidence of a Classifier (구분기 신뢰도에 기반한 HRRP 및 JEM 융합 항공기 식별)

  • Kim, Si-Ho;Lee, Sang-In;Chae, Dae-Young
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.3
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    • pp.217-224
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    • 2017
  • In this paper, we propose a fusion classification method combining HRRP and JEM classifier with complementary properties for the classification of aircraft. The fusion method is based on the confidence of a classifier for a classification result to improve performance compared with single classifier in various situations. The confidence is defined as the posterior probability estimated from the classification performance of a classifier and it depends on the aspect angle and the certainty for a classification result. Through the classification test using simulation data, we can verify that the proposed fusion method shows good performance by fusing the classifiers effectively.

Interval Estimation for a Binomial Proportion Based on Weighted Polya Posterior (이항 비율의 가중 POLYA POSTERIOR 구간추정)

  • Lee Seung-Chun
    • The Korean Journal of Applied Statistics
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    • v.18 no.3
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    • pp.607-615
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    • 2005
  • Recently the interval estimation of a binomial proportion is revisited in various literatures. This is mainly due to the erratic behavior of the coverage probability of the will-known Wald confidence interval. Various alternatives have been proposed. Among them, Agresti-Coull confidence interval has been recommended by Brown et al. (2001) with other confidence intervals for large sample, say n $\ge$ 40. On the other hand, a noninformative Bayesian approach called Polya posterior often produces statistics with good frequentist's properties. In this note, an interval estimator is developed using weighted Polya posterior. The resulting interval estimator is essentially the Agresti-Coull confidence interval with some improved features. It is shown that the weighted Polys posterior produce an effective interval estimator for small sample size and a severely skewed binomial distribution.

Confidence Interval for Sensitive Binomial Attribute : Direct Question Method and Indirect Question Method (민감한 이항특성에 대한 신뢰구간 : 직접질문법과 간접질문법)

  • Ryu, Jea-Bok
    • The Korean Journal of Applied Statistics
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    • v.28 no.1
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    • pp.75-82
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    • 2015
  • We discuss confidence intervals for sensitive binomial attributes obtained by a direct question method and indirect question method. The Randomized Response Technique(RRT) by Warner (1965) is an indirect question method that uses a randomization device to reduce the response burden of respondents. We used the mean coverage probability (MCP), root mean squared error (RMSE), and mean expected width (MEW) to compare the confidence intervals by the two methods. The numerical comparisons indicated found that the MEW of RRT is too large and the RRT is so conservative that the MCP exceeds a nominal level(${\alpha}$); therefore, it is necessary to complement these problem in order to increase the utility of the indirect question method.

A Study on Out-of-Vocabulary Rejection Algorithms using Variable Confidence Thresholds (가변 신뢰도 문턱치를 사용한 미등록어 거절 알고리즘에 대한 연구)

  • Bhang, Ki-Duck;Kang, Chul-Ho
    • Journal of Korea Multimedia Society
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    • v.11 no.11
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    • pp.1471-1479
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    • 2008
  • In this paper, we propose a technique to improve Out-Of-Vocabulary(OOV) rejection algorithms in variable vocabulary recognition system which is much used in ASR(Automatic Speech Recognition). The rejection system can be classified into two categories by their implementation method, keyword spotting method and utterance verification method. The utterance verification method uses the likelihood ratio of each phoneme Viterbi score relative to anti-phoneme score for deciding OOV. In this paper, we add speaker verification system before utterance verification and calculate an speaker verification probability. The obtained speaker verification probability is applied for determining the proposed variable-confidence threshold. Using the proposed method, we achieve the significant performance improvement; CA(Correctly Accepted for keyword) 94.23%, CR(Correctly Rejected for out-of-vocabulary) 95.11% in office environment, and CA 91.14%, CR 92.74% in noisy environment.

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Comparison of Probability of Detecting Bluetongue in Quarantine Testing for the Imported Cattle with Special Focus on the Sampling Scenario (수입 소의 검역검사 수준에 따른 블루텅 검출 확률 비교)

  • Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.27 no.4
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    • pp.421-426
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    • 2010
  • In view of free from bluetongue (BT) in the domestic cattle population in Korea, the key of quarantine testing for BT virus (BTV) infection is detection of cattle previously exposed to the virus. The objective of this study was to estimate the probability of detecting a cattle infected with BTV using a stochastic modeling analysis of existing quarantine testing data. Three testing scenarios were considered in this study: serological testing of all animals in all imported lots (scenario 1), serological testing of a sample of cattle from all imported lots (scenario 2), and serological testing of 50% of imported lots (scenario 3). In scenario 2 and 3, it was assumed that cattle were sampled (sample size) within each lot to detect 5% of the cattle in each lot with a 95% confidence, taking into account diagnostic sensitivity of the ELISA (enzyme-linked immunosorbent assay). The model output was the total number of BTV-infected cattle and the prevalence of BTV infection in imported cattle from the US, Australia, Canada and Japan. Compared to the scenario 1, the probability of detecting a BTV-infected cattle was estimated to be 19% and 1.6% in scenario 2 and 3, respectively. Furthermore, the analyses showed a 95% confidence that BTV prevalence was less or equal to $9.7{\times}10^{-4}$ (median = $1.5{\times}10^{-5}$), indicating that, for the scenario 2 and 3 with serological testing for a sample of cattle, the risk of introducing an exotic strain of BTV into Korea through the importation of live cattle would not be acceptable.

Retention probability of trawl codend for silver croaker (Argyrosomus argentatus) (트롤 끝자루에 대한 보구치(Argyrosomus argentatus)의 망목 선택성)

  • KIM, Pyungkwan;PARK, Chang-Doo;LEE, Chun-Woo;KIM, Hyung-seok
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.55 no.1
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    • pp.1-6
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    • 2019
  • The annual production of silver croaker (Argyrosomus argentatus) in Korean towed fishing gears has been increased in recent five years. In 2017, the annual production of silver croaker in metric ton was increased 99.2% compared to 2013. However, the research for silver croaker has been focused on ecology in Korea. There has not been enough research in terms of fishing gears. Therefore, the research for retention probability for towed gears was conducted on covered codend method from June, 2016 to July, 2018. During the experiments, the total catch of silver croaker was 1,563. The geometry of the experimental trawl gear was controlled by trawl monitoring system; net height was 3.3 m, distance of trawldoors was 59.8 m and distance of wing net was 17.3 m. The selection curve for silver croaker was estimated by a logit model. The analysis was applied with the confidence interval to reduce uncertainty of the estimation. The $l_{50}$ was 13.87 cm and its selection range was 2.71 cm. P-value was estimated at 0.99. The mesh size for silver croaker in towed gears needs to be adjusted by considering its minimum maturity length, stakeholder's interests and fisheries regulations.

Validation of 17 Microsatellite Markers for Parentage Verification and Identity Test in Chinese Holstein Cattle

  • Zhang, Yi;Wang, Yachun;Sun, Dongxiao;Yu, Ying;Zhang, Yuan
    • Asian-Australasian Journal of Animal Sciences
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    • v.23 no.4
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    • pp.425-429
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    • 2010
  • To develop an efficient DNA typing system for Chinese Holstein cattle, 17 microsatellites, which were amplified in four fluorescent multiplex reactions and genotyped by two capillary electrophoresis injections, were evaluated for parentage verification and identity test. These markers were highly polymorphic with a mean of 8.35 alleles per locus and an average expected heterozygosity of 0.711 in 371 individuals. Parentage exclusion probability with only one sampled parent was approximately 0.999. Parentage exclusion probability when another parent' genotype was known was over 0.99999. Overall probability of identity, i.e. the probability that two animals share a common genotype by chance, was $1.52{\times}10^{-16}$. In a test case of parentage assignment, the 17 loci assigned 31 out of 33 cows to the pedigree sires with 95% confidence, while 2 cows were excluded from the paternity relationship with candidate sires. The results demonstrated the high efficacy of the 17 markers in parentage analysis and individual identification for Chinese Holstein cattle.