• Journal of Forest and Environmental Science
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• 제30권1호
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• pp.45-49
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• 2014

This study was tried to find out the applicability of decision support system for forest land use conversion, which developed based on algorithm for forest land-use conversion. Decision support system developed by Ministry of Safety Administration is free from the existing licensed laws omission. And it made the input requirements for each value of the final result so that you can determine whether the permit was available by the laws and regulations related to the algorithm for forest land use conversion. Also, in order to do field surveys, equal sampling interval method is used to extract samples for the operability by comparing and analyzing the actual area. As a result, 88 areas of total 100 areas are able to get permission by the decision support system for forest land use conversion, and it means if there is enough data with sufficient research, it can make the availability permits easily.

• 전기학회논문지
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• 제56권6호
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• pp.1122-1129
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• 2007

For a system with multiple real-time tasks of different deadlines, it is very difficult to find the optimal checkpoint interval because of the complexity in considering the scheduling of tasks. In this paper, we determine the optimal checkpoint interval for multiple real-time tasks that are scheduled by RM(Rate Monotonic) algorithm. Faults are assumed to occur with Poisson distribution. Checkpoints are inserted in the execution of task with equal distance in the same task, but different distances in other tasks. When faults occur, rollback to the latest checkpoint and re-execute task after the checkpoint. We derive the equation of maximum slack time for each task, and determine the number of re-executable checkpoint intervals for fault recovery. The equation to check the schedulibility of tasks is also derived. Based on these equations, we find the probability of all tasks executed within their deadlines successfully. Checkpoint intervals which make the probability maximum is the optimal.

• Journal of Oral Medicine and Pain
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• 제19권1호
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• pp.25-31
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• 1994

This study was performed to investigate the biostimulation effects of low level laser therapy (LLLT) on the fungus, Candida alvicans, according to the interval of irradiation during the cell cycle. Samples were divided into 5 groups which were P7-2Hr, P7-4Hr, P15-2Hr, P15-4Hr and Co. Sample was irradiated for 1 minute with 2 hours or 2 minutes with 4 hours of elapsed time during 28 hours of the cell cycle of Candida albicans, and the optical density was assessed by spectrophotometry every 2 hours. It was found that there was significant difference, in the cell growth, between 2 hour and 4 hour interval laser irradiation, although the total energy of each group using identical pulse during exam was equal.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.1788-1792
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• 2006

The ordered weighted averaging (OWA) operator by Yager has received more and more attention since its appearance. One key point in the OWA operator is to determine its associated weights. Among numerous methods that have appeared in the literature, we notice the maximum entropy OWA (MEOWA) weights that are determined by taking into account two appealing measures characterizing the OWA weights. Instead of maximizing the entropy in the formulation for determining the MEOWA weights, the new method in the article tries to obtain the OWA weights which are evenly spread out around equal weights as much as possible while strictly satisfying the orness value provided in the program. This consideration leads to the least squared OWA (LSOWA) weighting method in which the program tries to obtain the weights that minimize the sum of deviations from the equal weights since entropy is maximized when the weights are equal. Above all, the LSOWA weights display symmetric allocations of weights on the basis of equal weights. The positive or negative allocations of weights from the median as a basis depend on the magnitude of orness specified. Further interval LSOWA weights are constructed when a decision-maker specifies his or her value of orness in uncertain numerical bounds.

• 말소리와 음성과학
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• 제15권3호
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• pp.59-67
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• 2023

본 연구는 연장음의 길이에 따른 비유창성 지각 정도에 대해 각각 등간척도와 직접크기평정을 통한 청지각적 평가를 실시한 후, 두 평가의 결과치가 선형적인 또는 비선형적인 관계를 보이는지를 알아보고자 진행되었다. 이를 통해 연장음의 길이에 따른 비유창성 지각 정도에 대한 적절한 평가 방법을 제안하고자 하였다. 이를 위해 한국어를 모국어로 하는 만 19세 이상 성인 남녀 34명(남: 9명, 여: 25명, 평균연령: 32.9세)이 평가자로 참여였다. 실험참여자는 먼저 한국어 평마찰음 /s/를 원래 길이에서 80 ms씩 연장하여 2,000 ms(i.e., 285 ms, 365 ms., ..., 2,125 ms, 2,205 ms)까지 연장 변조한 총 25개의 자극이 들어 있는 문장을 듣고, 등간척도(1-7점, 1은 '정상', 7은 '심도')로 평가하였다. 이후에 등간척도 평가 결과, '경중도'(4점)에 해당하는 음성샘플을 선정해 이를 기준 평가치(modulus)로 하여 직접크기평정을 실시하였다. 두 평가 결과치에 대한 산포도를 작성한 후, 모형 분석을 통해 두 측정치 간의 관계가 선형적(linear)인지 비선형적(curvilinear)인지 R²값을 통해 조사하였다. 연구 결과, 두 평가 결과치의 관계가 비선형적인 양상을 보이는 것으로 나타났으며 이는 연장음의 길이에 따른 비유창성 정도 평가에 있어 등간척도보다는 직접크기평정이 적절한 평가 방법임을 보여주는 결과이다.

• Journal of the Korean Data and Information Science Society
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• 제24권1호
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• pp.189-200
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• 2013

In this paper, it will be assumed that there are two distinct populations which are multivariate normal with equal covariance matrix. We also assume that the two populations are equally likely and the costs of misclassification are equal. The classification rule depends on the situation whether the training samples include missing values or not. We consider the conditional bootstrap confidence intervals for classification error rate when a block of observation is missing.

• 구강회복응용과학지
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• 제34권4호
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• pp.262-269
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• 2018

목적: 치은 형성 후 인공치아의 이동에 대하여 평가를 시행하였다. 연구 재료 및 방법: 10벌의 동일한 치아배열과 치은의 외형을 가진 납의치를 이용하여 실험하였다. 이 납의치 상에서 치은 형성을 시행하였고, 10분 간격으로 120분 간 모델 스캔을 시행하여 치아 간 거리를 측정하였다. SPSS Ver. 22. 0를 이용하여 통계학적 분석을 시행하였다. 결과: 치은 형성 후 평균적으로 치아 사이의 거리가 0.0999 mm에서 0.1787 mm로 나타났다. 인공치아 이동의 변화율에 대해서는 40 - 50분과 50 - 60분 사이와 50 - 60분과 60 - 70분 사이에서 통계학적으로 유의한 차이가 관찰되었고, 그 이후에는 변화율의 유의한 차이가 없었다. 결론: 120분 간 측정한 결과 인공치아의 이동이 관찰되었고, 60 - 70분 이후에는 시간에 따른 평균 이동량의 변화가 관찰되지 않았다. 이를 종합하면, 치은 형성 후 60분 이상 경과된 시점에서 교합에 대한 재평가를 시행한 후에 최종 의치를 제작하는 것이 필요하다.

• Journal of the Korean Data and Information Science Society
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• 제15권4호
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• pp.743-752
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• 2004

In this paper, we develop the Bayesian model selection procedure using the reference prior for comparing two nested model such as the independent and intraclass models using the distance or divergence between the two as the basis of comparison. A suitable criterion for this is the power divergence measure as introduced by Cressie and Read(1984). Such a measure includes the Kullback -Liebler divergence measures and the Hellinger divergence measure as special cases. For this problem, the power divergence measure turns out to be a function solely of $\rho$, the intraclass correlation coefficient. Also, this function is convex, and the minimum is attained at $\rho=0$. We use reference prior for $\rho$. Due to the duality between hypothesis tests and set estimation, the hypothesis testing problem can also be solved by solving a corresponding set estimation problem. The present paper develops Bayesian method based on the Kullback-Liebler and Hellinger divergence measures, rejecting $H_0:\rho=0$ when the specified divergence measure exceeds some number d. This number d is so chosen that the resulting credible interval for the divergence measure has specified coverage probability $1-{\alpha}$. The length of such an interval is compared with the equal two-tailed credible interval and the HPD credible interval for $\rho$ with the same coverage probability which can also be inverted into acceptance regions of $H_0:\rho=0$. Example is considered where the HPD interval based on the one-at- a-time reference prior turns out to be the shortest credible interval having the same coverage probability.

• Journal of Biosystems Engineering
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• 제24권2호
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• pp.145-152
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• 1999

Methods of discharging each graded agricultural product are divided into two according to the type of feeding. One is based on feeding objects using a series of specially designed holders mounted with an equal interval. The other is randomly feeding objects while being isolated without a specific interval. In this paper, a real time simultaneous discharge algorithm, which is good for objects randomly fed individually and for multi-objects located along a series of discharge buckets, was developed. And the developed algorithm was implemented to the controller and the performance was verified using the system developed for dried mushrooms. The discharge system used for the experiment was composed of a variable speed conveyor, a series of double channel bucket mounted along both sides of the conveyor, and a series of air nozzles and optic sensors. Developed algorithm worked perfectly and could be directly used for automatic discharge system for randomly feeding agricultural products.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.389-399
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• 2002

In order to examine whether the difference between two point estimates of population proportions is statistically significant, data analysts use two techniques. The first is to explore the overlap between two associated confidence intervals. Second method is to test the significance which is introduced at most statistical textbooks under the common assumptions of consistency, asymptotic normality, and asymptotic independence of the estimates. Under the null hypothesis which is two population proportions are equal, the pooled estimator of population proportion is preferred as a point estimator since two independent random samples are considered to be collected from one population. Hence as an alternative method, we could obtain another confidence interval of the difference of the population proportions with using the pooled estimate. We conclude that, among three methods, the overlapped method is under-estimated, and the difference of the population proportions method is over-estimated on the basis of the proposed method.