• Title/Summary/Keyword: least-scale

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Parameter Estimations in the Complementary Weibull Reliability Model

  • Sarhan Ammar M.;El-Gohary Awad
    • International Journal of Reliability and Applications
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    • v.6 no.1
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    • pp.41-51
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    • 2005
  • The Bayes estimators of the parameters included in the complementary Weibull reliability model are obtained. In the process of deriving Bayes estimators, the scale and shape parameters of the complementary Weibull distribution are considered to be independent random variables having prior exponential distributions. The maximum likelihood estimators of the desired parameters are derived. Further, the least square estimators are obtained in closed forms. Simulation study is made using Monte Carlo method to make a comparison among the obtained estimators. The comparison is made by computing the root mean squared errors associated to each point estimation. Based on the numerical study, the Bayes procedure seems better than the maximum likelihood and least square procedures in the sense of having smaller root mean squared errors.

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Enhanced remote-sensing scale for wind damage assessment

  • Luo, Jianjun;Liang, Daan;Kafali, Cagdas;Li, Ruilong;Brown, Tanya M.
    • Wind and Structures
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    • v.19 no.3
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    • pp.321-337
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    • 2014
  • This study has developed an Enhanced Remote-Sensing (ERS) scale to improve the accuracy and efficiency of using remote-sensing images of residential building to predict their damage conditions. The new scale, by incorporating multiple damage states observable on remote-sensing imagery, substantially reduces measurement errors and increases the amount of information retained. A ground damage survey was conducted six days after the Joplin EF 5 tornado in 2011. A total of 1,400 one- and two-family residences (FR12) were selected and their damage states were evaluated based on Degree of Damage (DOD) in the Enhanced Fujita (EF) scale. A subsequent remote-sensing survey was performed to rate damages with the ERS scale using high-resolution aerial imagery. Results from Ordinary Least Square regression indicate that ERS-derived damage states could reliably predict the ground level damage with 94% of variance in DOD explained by ERS. The superior performance is mainly because ERS extracts more information. The regression model developed can be used for future rapid assessment of tornado damages. In addition, this study provides strong empirical evidence for the effectiveness of the ERS scale and remote-sensing technology for assessment of damages from tornadoes and other wind events.

Measuring Technical and Scale Efficiencies of Korean Seed Companies -On the Outset of Establishing the Center for Private Seed Companies- (국내 육종업체의 기술 및 규모효율성 분석 -민간육종연구단지 조성을 계기로-)

  • Gim, Uhn-Soon;Choi, Se-Hyun;Cho, Jae-Hwan;Jung, Yong-Gwan;Lah, Jung-Hyun
    • Korean Journal of Organic Agriculture
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    • v.22 no.1
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    • pp.1-23
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    • 2014
  • The purpose of this paper was to measure technical efficiencies and scale efficiencies of Korean seed industry by DEA method, and to identify the factors affecting the efficiencies by Tobit regression model. Survey data of 50 seed companies nationwide were applied for the analysis. The average score of overall technical efficiency for the surveyed companies in 2012 was 0.44, which is decomposed into pure technical efficiency 0.68 and scale efficiency 0.63. A majority of the seed companies exhibited at least one form of inefficiency except a few companies in optimal scale. It was also shown the most companies were operating in the stage of increasing returns to scale, which implies Korean seed companies are mainly in smaller scale than optimal. Additional results suggest that the Center for Private Seed Companies, which will be established at Gimje in 2015, plays an important role to make domestic seed companies improve their scale efficiency as well as pure technical efficiency by way of enlarging their size and co-using the high technology in the Center.

STATUS AND PERSPECTIVE OF TWO-PHASE FLOW MODELLING IN THE NEPTUNE MULTISCALE THERMAL-HYDRAULIC PLATFORM FOR NUCLEAR REACTOR SIMULATION

  • BESTION DOMINIQUE;GUELFI ANTOINE;DEN/EER/SSTH CEA-GRENOBLE,
    • Nuclear Engineering and Technology
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    • v.37 no.6
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    • pp.511-524
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    • 2005
  • Thermalhydraulic reactor simulation of tomorrow will require a new generation of codes combining at least three scales, the CFD scale in open medium, the component scale and the system scale. DNS will be used as a support for modelling more macroscopic models. NEPTUNE is such a new generation multi-scale platform developed jointly by CEA-DEN and EDF-R&D and also supported by IRSN and FRAMATOME-ANP. The major steps towards the next generation lie in new physical models and improved numerical methods. This paper presents the advances obtained so far in physical modelling for each scale. Macroscopic models of system and component scales include multi-field modelling, transport of interfacial area, and turbulence modelling. Two-phase CFD or CMFD was first applied to boiling bubbly flow for departure from nucleate boiling investigations and to stratified flow for pressurised thermal shock investigations. The main challenges of the project are presented, some selected results are shown for each scale, and the perspectives for future are also drawn. Direct Numerical Simulation tools with Interface Tracking Techniques are also developed for even smaller scale investigations leading to a better understanding of basic physical processes and allowing the development of closure relations for macroscopic and CFD models.

A Study on Estimation of Bottled Tap Water Market Size ('병입 수돗물' 시장규모 추정연구)

  • Kim, Shang Moon;Ryu, Mun Hyun
    • Journal of Korean Society of Water and Wastewater
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    • v.23 no.6
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    • pp.753-761
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    • 2009
  • Bottled water market is growing at a rate of 10% per year in Korea. However, bottled water exhausts ground water. Korean government proposed to provide 'bottled tap water' at a low price in 2008. This study is the estimation of 'bottled tap water' market scale using binary logit model. we calculate that 'bottled tap water' market scale is from at least 92 billion won to 154 billion won by 150, 250 won per a bottled water, respectively. This paper indicates that scale of 'bottled tap water' market is a half of 'bottled water' market in 2007. This result provides that policy-makers with available and responsible information regarding the scale of 'bottled tap water' market.

A Domain-Partition Algorithm for the Large-Scale TSP (Large-Scale TSP 근사해법에 관한 연구)

  • Yoo, Hyeong-Seon;Kim, Hyun-Sng
    • Journal of the Korean Society for Precision Engineering
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    • v.9 no.3
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    • pp.122-131
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    • 1992
  • In this paper an approximate solution method for the large-scale Traveling Salesman Problem (TSP) is presented. The method starts with the subdivision of the problem domain into a number of cluster by considering their geometric characteristic. Each cluster has a limited number of nodes so as to get a local solution. They are linked go give the least pathe which covers the whole domain and become TSPs solution with start-and end-node. The approximate local solution in each cluster are obtained based on geometrical properties of the cluster, and combined to give an overall approximate solution for the larte-scale TSP.

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A Modification of the W Test for Exponentiality

  • Kim, Nam-Hyun
    • Communications for Statistical Applications and Methods
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    • v.8 no.1
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    • pp.159-171
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    • 2001
  • Shapiro and Wilk (1972) developed a test for exponentiality with origin and scale unknown. The procedure consists of comparing the generalized least squares estimate of scale with the estimate of scale given by the sample variance. However the test statistic is inconsistent ; that is, the power of the test will not approach 1 as the sample size increases. Hence we give a test based on the ratio of two asymptotically efficient estimates of scale. We also have conducted a power study to compare the test procedures, using Monte Carlo samples from a wide range of alternatives. It is found that the suggested statistics have higher power for the alternatives with the coefficient of variation greater that or equal to 1.

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A Comparison of Assessment Tools for Prediction of Falls in Patients With Stroke (뇌졸중 환자의 낙상 예측을 위한 평가도구 비교)

  • Won, Jong-Im
    • Physical Therapy Korea
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    • v.21 no.2
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    • pp.37-47
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    • 2014
  • Falls are common after stroke and most frequently related to loss of balance while walking. Consequently, preventing falls is one of the goals of acute, rehabilitative, and chronic stroke care. The purpose of this study was to investigate the incidence and risk factors of falls and to determine how well the Falls Efficacy Scale (FES), Timed Up and Go test (TUG), and Berg Balance Scale (BBS) could distinguish between fallers and non-fallers among stroke patients during inpatient rehabilitation. One hundred and fifteen participants with at least 3 months post-stroke and able to walk at least 3 m with or without a mono cane participated in this study. Fifty-four (47%) participants reported falling, and 15 (27.8%) had a recurrent fall. Logistic regression analysis for predicting falls showed that left hemiplegia [odds ratio (OR)=4.68] and fear of falling (OR=5.99) were strong risk factors for falls. Fallers performed worse than non-fallers on the FES, TUG, and BBS (p<.05, p<.01, respectively). In the receiver operator characteristic curve analysis, the TUG demonstrated the best discriminating ability among the three assessment tools. The cut-off score was 22 seconds on the TUG for discriminating fallers from non-fallers (sensitivity=88.9%, specificity=45.9%) and 27 seconds for discriminating recurrent fallers from single fallers and non-fallers (sensitivity=71.4%, specificity=40.2%). Results suggest that there is a need for providing fall prevention and injury minimization programs for stroke patients who record over 22 seconds on the TUG.

A Validation Study of the Behavior Rating Scale for Preschool Children based on the Yonsei Open Education Curriculum (연세 개방주의 교육과정에 기초한 유아 행동발달척도 타당화 연구)

  • Park, Kyung Ja;Chung, Young Sun;Park, Mi Hyun;Woo, Hyun Kyung;Bang, Eun Yeong;Choi, Seon Hwa
    • Korean Journal of Childcare and Education
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    • v.13 no.5
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    • pp.43-64
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    • 2017
  • Objective: The purpose of this study was to develop and validate the Behavior Rating Scale for Preschool Children based on the Yonsei Open Education Curriculum. Methods: The subjects of the study were 145 children aged three to six attending a preschool affiliated with a university and their teachers. Teachers observed their children for at least two weeks and completed the Behavior Rating Scale for Preschool Children. The scale consisted of five areas and 44 items which was a five level rubric. Results: Results showed that age differences were significant and development trends were revealed in almost all items. Second, the mean between the upper and lower groups showed a significant difference. Third, the internal consistency reliability was .97 for all items and for the five areas ranged from .86 to .93. The inter-observers reliability was .84. Forth, the concurrent validity and content validity of the scale were relatively high. Conclusion/Implications: The Behavior Rating Scale for Preschool Children can be used as a valid and reliable instrument to assess preschool children's development.