• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.519-526
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• 2015

This article presents detailed explanations of the depreciation method using the accumulated depreciation rate function(ADRF) proposed by the author previously, for the practical application. ADRF provides a value of accumulated depreciation rate on the total depreciation charge at any given time, therefore it can be used in a time-based depreciation method. Since the depreciation charge of each period can be systematically computed with ADRF, in every case where the charge is constant or decreasing or increasing, we can choose diverse rational depreciation types for the characteristic of every asset. Also, since the ADRF is the continuous function of time, we can compute the depreciation charge with consistency in cases where assets are owned for partial period. However, we should determine the value of parameter of ADRF. We give some data on the problem.

• Journal of Radiation Protection and Research
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• v.22 no.3
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• pp.183-193
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• 1997

The amount and kinds of radionuclide contained in waste volume should be known to prepare for occupational exposure management, perform safety assessment and finally to license a repository. Although the volume of filters and resins are small, activities of them comprise most of the radioactivity that made during power generation. This study aims at developing a method of estimating the radionuclide accumulation at the filters and resins of coolant systems. In this study, accumulated amount of radionuclides is estimated by a computer program which makes use of instantaneous decontamination factor, DF, instead of average DF. A FORTRAN program was developed for the estimation. Data from in-plant source-term measurements at Rancho-Seco nuclear power plant in the United States are employed for verification of the estimating method. And experimental data are employed, too. The instantaneous-DF-method showed smaller error than the average-DF-method. Accumulated amount of radionuclides can be calculated with only the DF and the radionuclide concentration, which are measured periodically according to the operating guide. However, especially, when the operating condition of nuclear power plant changes rapidly, the measuring term of DF and radionuclide should be shortened to ensure the accurate estimation.

• Journal of Korea Water Resources Association
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• v.42 no.2
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• pp.171-176
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• 2009

This study proposes an experimental formula for cumulative runoff analysis in building roof for on-site rainwater management. We can not find an appropriate method for roof runoff analysis because of its small area scale. A new runoff equation formula for rainfall depth(D) and cumulative runoff volume(V) is developed on roof runoff conditions. Reliability of the formula is verified with field experimental runoff monitoring for two years in two buildings of rainwater management system. This experimental runoff formula can root the cumulative runoff volume from roof area and rainfall depth, then develop reasonable inflow condition for rainwater retention tank design.

• Journal of Satellite, Information and Communications
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• v.9 no.2
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• pp.119-125
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• 2014

In this paper, we developed the signal generator of GNSS navigation signals and analysis the performance of DCO(Digitally Clock Oscillator) compensation algorithm for cumulative distance error thorough simulation. In general, To generate a GNSS signal calculates the Doppler and Initial Pseudorange by using the location information of the receiver and the satellite. The GNSS signal generator generates a signal by determine the carrier and code output frequency using the Doppler information which is calculated as a function of time. The output frequency of the carrier and code would be used the DCO scheme. At this time, It extract the bit and code information on a for each sample by accumulating the DCO. an error of Pseudorange is generated by the cumulative error of the DCO. If Pseudorange error occurs, so that the influence to and operation of the receiver. Therefore, in this paper, we implemented the accumulated error compensation algorithm of the DCO to remove the accumulated error components DCO thereof, Pseudorange accumulated error is removed through the experiment, it was confirmed to be a high accuracy can be operated.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.461-461
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• 2012

본 연구는 서울 지점의 목표연도(2040, 2070, 2100년)별 재현기간에 따른 확률강수량을 산정하기 위해 지속시간 24시간에 대한 연 최대 강수량 자료를 구축하여 비정상성 빈도해석을 수행하였다. 연 최대강수량 자료를 이용해 초기 20년을 기준으로 1년씩 추가한 연 최대 강수량 누적 자료를 구축한 후, 누적 기간별 자료의 평균, 위치매개변수, 축척매개변수를 산정하였다. Gumbel 분포를 이용해 비정상성 빈도해석을 실시하였으며, 각 매개변수의 경우 확률가중모멘트법을 이용해 산정하였다. 산정된 누적평균 강수량과 연도와의 선형회귀분석을 실시한 방법뿐만 아니라 서울 지점이 속한 한강유역의 전 지점들을 이용한 유역의 누적평균 강수량 자료에 대하여 연도와의 Logsitic 회귀분석 및 Power Model을 이용해 서울 지점의 목표연도별 누적평균 강수량을 산정하였고 이를 통해 목표연도별 위치매개변수 및 축척매개변수를 구해 목표연도별 재현기간에 따른 확률강수량을 산정하였다. 선형회귀분석을 이용한 비정상성 빈도해석의 경우, 목표연도가 증가함에 따라 선형적인 증가에 의해 매우 높은 누적평균 강수량이 나타나 확률강수량의 경우에도 정상성임을 가정한 확률강수량에 비해 매우 높게 나타나 타당한 확률강수량이라 함에 한계가 있음을 보였다. 유역의 평균거동과 Logistic 회귀분석을 실시하여 확률강수량을 산정하였을 때에는, 선형 회귀분석에 비해 정상성임을 가정한 확률강수량보다 크게 증가하지 않고 비교적 안정적인 증가가 나타났다. 하지만 Logistic 회귀분석을 이용한 누적평균 강수량 산정에 있어서 목표연도 2040년에 도달하기 전에 미리 수렴하는 형태를 보여 모든 목표연도의 확률강수량이 동일한 값을 가지는 한계가 나타났다. 한강 유역의 평균거동과 Power Model을 이용한 비정상성 빈도해석의 경우, 선형회귀분석 및 Logistic 회귀분석을 통한 비정상성 빈도해석에서 나타난 문제점을 보완할 수 있는 확률강수량이 나타남을 보였다.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.735-744
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• 2021

Maintaining the lifetime of a product is one of the objectives of quality control. In real processes, most samples are constructed with censored data because, in many situations, we cannot measure the lifetime of all samples due to time or cost problems. In this paper, we propose two cumulative sum (CUSUM) control charting procedures to monitor the mean of type I right-censored lognormal lifetime data. One of them is based on the likelihood ratio, and the other is based on the binomial distribution. Through simulations, we evaluate the performance of the two proposed procedures by comparing the average run length (ARL). The overall performance of the likelihood ratio CUSUM chart is better, especially this chart performs better when the censoring rate is low and the shape parameter value is small. Conversely, the binomial CUSUM chart is shown to perform better when the censoring rate is high, the shape parameter value is large, and the change in the mean is small.

• The Journal of Engineering Geology
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• v.24 no.4
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• pp.643-648
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• 2014

Understanding of fracture networks and rock mass properties during tunnel construction is extremely important for the prediction of dangers during excavation, and for deciding on appropriate excavation techniques and support. However, rapid construction process do not allow sufficient time for surveys and interpretations for spatial distributions of fractures and rock mass properties. This study introduces a new statistical approach for predicting joint distributions at foreside of current excavation face during the excavation process. The proposed methodology is based on a cumulative space diagram for joint sets. The diagram displays the cumulative spacing between adjacent joints on the vertical axis and the sequential position of each joint plotted at equally spaced intervals on the horizontal axis. According to the diagram, the degree of linearity of points representing the regularity of joint spacing; a linear trend of the points indicates that the joints are evenly spaced, with the slope of the line being directly related to the spacing. The linear points which are stepped indicates that the fracture set show clustered distribution. A clustered pattern within the linear group of points indicates a clustered joint distribution. Fractures surveyed from an excavated space can be plotted on this diagram, and the diagram can then be extended further according to the plotted diagram pattern. The extension of the diagram allows predictions about joint spacing in areas that have not yet been excavated. To test the model, we collected and analyzed data during excavation of a 10-m-long tunnel. Fractures in a 3-m zone behind the excavation face were predicted during the excavation, and the predictions were compared with observations. The methodology yielded reasonably good predictions of joint locations.

• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.29-35
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• 2011

In statistical process control, the primary method used to monitor the number of nonconformities is the c-chart. The conventional c-chart is based on the assumption that the occurrence of nonconformities in samples is well modeled by a Poisson distribution. When the Poisson assumption is not met, the X-chart is often used as an alternative charting scheme in practice. And CUSUM-chart is used when it is desirable to detect out of control situations very quickly because of sensitive to a small or gradual drift in the process. In this paper, I compare CUSUM-chart to X-chart for the Katz family covering equi-, under-, and over-dispersed distributions relative to the Poisson distribution.

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.823-833
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• 2016

The lifetime is a key characteristic of product quality. It is best to obtain the lifetime data of all samples, but they are often censored due to time or expense limitations. In this paper, we propose a binomial cumulative sum (CUSUM) chart to monitor the mean of type I right-censored Weibull lifetime data, for a xed value of the Weibull shape parameter. We compare the performance of the proposed binomial CUSUM chart with CUSUM charts studied previously using the steady-state average run length (ARL). The results show that the performance of the binomial CUSUM chart is better when the censoring rate is high and/or the sample size is small.

• The Korean Journal of Financial Studies
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• v.7 no.1
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• pp.49-69
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• 2001

본 연구에서는 IMF 구제금융도입과 관련된 일련의 사건들이 우리나라 금융기관 주가에 미친 영향을 분석하여 금융기관에 대한 시장전망의 추이를 알아보았다. IMF 구제금융도입은 궁극적으로 안정된 금융시스템을 추구한다는 (+)의 효과와 금융기관구조조정에 따른 규제와 이에 드는 비용으로 인한 (-)의 효과가 혼재되어 있다. IMF 구제금융도입과 이에 따른 제도정비에 금융기관 주가가 보인 반응을 살펴보기 위하여 IMF 긴급구제금융요청, 구제금융지원협상 타결, 금융개혁관련법안 국회통과, 외채협상타결, 기업구조조정 관련법안 국회통과 등 5개를 사건일1, 2, 3, 4, 5로 하여 사건연구방법에 의하여 분석하였는데 그 결과는 다음과 같다. 첫째, 사건일 1, 2, 3, 4에서는 누적평균초과수익률이 유의한 (-)의 반응을 보여 금융기관의 기업가치에 관한 부정적 반응이 나타났다. 그러나 사건일5(기업구조조정 관련법안 국회통과)를 계기로 누적평균초과수익률이 유의적이지는 않지만 (+)의 반응으로 반전되고 있어 금융기관에 대한 시장전망이 나아짐을 보여주었다. 둘째, 누적평균초과수익률이 일반은행과 다른 업종(증권, 종금, 보험)간에는 유의한 차이가 있었으나 다른 업종(증권, 종금, 보험)간에는 유의한 차이가 없었으며 금융기관의 누적초과수익률이 자기자본비율과 유의한 (+)의 선형관계로 나타나지 않아 IMF 충격으로 시장효율성이 저하된 것으로 나타났다. 그러나 이 또한 사건일5(기업구조조정 관련법안 국회통과)를 계기로 강력한 구조조정과정을 겪고 있는 종합금융회사를 제외하고는 누적초과수익률이 자기자본비율과 유의적이지는 않지만 (+)의 반응이 보여 시간이 경과함에 따라 IMF 충격으로 야기된 비효율적인 시장반응이 개선되고 있음이 밝혀졌다.