• Journal of Korean Society of Forest Science
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• v.104 no.1
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• pp.111-116
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• 2015

The purpose of this study was to evaluate mixed model of dbh-height relation containing random effect. Data were obtained from a survey site for Quercus variabilis in Gangwon region and remeasured the same site after three years. The mixed model were used to fixed effect in the dbh-height relation for Quercus variabilis, with random effect representing correlation of survey period were obtained. To verify the evaluation of the model for random effect, the akaike information criterion (abbreviated as, AIC) was used to calculate the variance-covariance matrix, and residual of repeated data. The estimated variance-covariance matrix, and residual were -0.0291, 0.1007, respectively. The model with random effect (AIC = -215.5) has low AIC value, comparison with model with fixed effect (AIC = -154.4). It is for this reason that random effect associated with categorical data is used in the data fitting process, the model can be calibrated to fit repeated site by obtaining measurements. Therefore, the results of this study could be useful method for developing model using repeated measurement.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.113-122
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• 2016

Longitudinal data often occur in prospective follow-up studies. Joint model for longitudinal data and failure time has been applied on several works. In this paper, we extend it to the case where longitudinal data involve informative observation time process as well as competing risks survival times. We use a likelihood approach and derive an EM algorithm to obtain maximum likelihood estimate of parameters. A suggested joint model allows us to make inferences for three components: longitudinal outcome, observation time process and competing risk failure time. In addition, we can test the association among these components. In this paper, liver cirrhosis patients' data is analyzed. The relationship between prothrombin times measured at irregular visiting times and drop outs is investigated with a joint model.

• The Korean Journal of Applied Statistics
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• v.17 no.2
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• pp.185-196
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• 2004

It is an important research area in Integrated Pest Management System to estimate the pest density within plants, because the artificial controls such as spraying pesticides or biological enemies depend on the information of pest density. This paper studies the population density distribution of two-spotted spider mite in glasshouse roses. As the data were collected repeatedly on the same subject, Subject-Specific and Population Averaged approaches are used and compared.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.219-219
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• 2020

하천의 수질을 나타내는 환경지표 중 국가 TMS(Tele Monitoring system)의 수질측정망을 통해 관리되고 있는 지표로는 DO, BOD, COD, SS, TN, TP 등 여러 인자들이 있다. 이러한 수질인자는 하천의 자정작용에 있어 많은 영향을 나타내고 있다. 이를 활용한 경제적이고 합리적인 수질관리를 위해 하천의 자정작용을 활용하는 것이 중요하다. 생물학적 작용을 가장 효과적으로 활용하기 위해서는 수질오염 데이터에 기초한 수질예측을 채택하여 적절한 대책이 필요하다. 이를 위해서는 수질인자의 데이터를 측정하고 축적해 수질오염을 예측하는 것이 필수적인데, 실제적으로 수질인자의 일일 측정은 비용 관점에서 쉽게 접근할 수 없다. 본 연구에서는 시계열 학습으로 알려진 RNN-LSTM(Recurrent Neural Network-Long Term Memory) 알고리즘을 활용하여 기존에 측정된 수질인자의 데이터를 통해 시간당 및 일일 수질인자를 예측하려고 했다. 연구에 앞서, 기존에 시간단위로 측정된 수질인자 데이터의 이상 유무를 확인 후, 에러값은 제거하고 12시간 이하 데이터가 누락되었을 때는 선형 보간하여 데이터를 사용하고, 1일 데이터도 10일 이하 데이터가 누락되었을 때 선형 보간하여 데이터를 활용하여 수질인자를 예측하였다. 수질인자를 예측하기 위해 구글이 개발한 딥러닝 오픈소스 라이브러리인 텐서플로우를 활용하였고, 연구지역으로는 대한민국 부산에 위치한 온천천의 유역을 선정하였다. 수질인자 데이터 수집은 부산광역시에서 운영하는 보건환경정보 공개시스템의 자료를 활용하였다. 모델의 연구를 위해 하천의 수질인자, 기상자료 데이터를 입력자료로 활용하였다. 분석에서는 입력자료와, 반복횟수, 시계열의 길이 등을 조절해 수질 요인을 예측했고, 모델의 정확도도 분석하였다.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.119-130
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• 2010

Reconstruction analysis of traffic accident is done by analyzing diverse data such as the road, accident traces and damage on the automobile. Most data can be a variable in the process of analysis, and measurement error of the data occurs from the investigator, tool and the given environment. Therefore, accident analysis always has some risks of measurement uncertainty. This research quantify the uncertainty in traffic accident analysis by conducting repetitive measurement experiments for variables with high probability of uncertainly such as length (i.e. geometric structure of the road, tire marks) and coefficient of friction. This paper also suggests an analysis result for the uncertainly of photographic observation of automobile crush measurement. These statistical distributions can help determine appropriate ranges for the input data in order to estimate the accident reconstruction uncertainty.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.1-10
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• 2017

Longitudinal data of Korean child academic achievement have been used to find the significant exploratory variables under the assumption of independent repeated measured data. Using the exploratory variables in previous research works, we analyze the linear mixed model incorporating the fixed and random effects for child academic achievement to detect the significant exploratory variables. Korea welfare panel study data observed three times between 2006 and 2012 by additional survey for children. The child academic achievement is evaluated by the sum of academic achievements of Korean, English and Mathematics. We also investigate the multicollinearity and the missing mechanism and select some popular correlation matrices to analyze the linear mixed model.

• Geophysics and Geophysical Exploration
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• v.12 no.4
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• pp.328-337
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• 2009

To investigate the relation between pore fluid conductivity and bulk resistivity of a rock sample it is assumed that electrolyte solution perfectly substitute the pore fluid that occupied the pore space within the sample in general. In this study, it is investigated that how much can the electrolyte solution substitute the pore fluid by repeating the same saturation process. Four kinds of NaCl solutions of 8, 160, 3200, 64000 ${\mu}S$/cm are used. The saturation process has repeated four times for each electrolyte in increasing conductivity order first then four times each in decreasing order. The more the saturation process repeated with the same electrolyte, the more electrolyte solution substitute the pore fluid. Geometric mean of bulk resistivity in increasing and decreasing orders with the same electrolyte solution is assumed to be mostly close to the bulk resistivity with perfect substitution. Bulk resistivity measurements for both increasing and decreasing order differs within 10% to the geometric mean when repeating the saturation process 4 times while maximum 40% difference is observed when single saturation process for each electrolyte solution with increasing order. The modified parallel resistant model can generally represent the relations between pore fluid resistivity and bulk resistivity in the experiment, but more experimental data with various rock samples with different porosity is needed to generalize the model.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05c
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• pp.458-463
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• 1996

수송용기가 운반 트레일러에 의해 정상수송될 때, 국내 도로 상태에서 발생되는 반복적인 진동 흑은 충격하중을 측정하기 위해 국도 및 고속도로에서 차량수송시 가속도량를 기록하였으며, 이 측정결과를 주파수분석기로 분석하여 전산진동해석을 위한 입력자료를 생산하였다. 수송용기의 기계구조에 대한 건전성을 평가하기 위한 전산해석은 ABAQUS 코드로 KSC-7 수송용기를 3차원 보요소로 모델링하여 응력평가를 수행하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.1
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• pp.10-15
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• 2002

It is presented to extended to an interaction matrix formulation to the problem of system and disturbance identification for a plant that is corrupted by both process and output disturbances. With only an assumed upper bound on the order of the system and an assumed upper bound on the number of disturbance frequencies, it is shown that both the disturbance-free model and disturbance effect can be recovered exactly from disturbance-corrupted input-output data without direct measurement of the periodic disturbances. The rich information returned by the identification can be used by an iterative learning or repetitive control system to eliminate unwanted periodic disturbances. Those can be helped to apply to the multiple dynamic systems for precision quality assurance.

• Progress in Medical Physics
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• v.3 no.1
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• pp.25-34
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• 1992

For the TBI with medical linear accelerator(6.10MV), we measured basic data for dosage calculation and designed compensation filters to improve dose uniformity. At the distance of 3.4cm from the source, using the specially designed compensation filters reduced with in ${\pm}$5% for mid-depth dose in the phantom seated with flexion of the legs in the field sige up to 120${\times}$120cm$^2$ for the whole body. In repeated measurements for the dose distribution with humanoid phantom contained paraflin compound, measurement error using the TLD chips were less than ${\pm}$5%.