• 한국동굴학회:학술대회논문집
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• 한국동굴학회 1993년도 제 5차 ASIA 동굴학 심포지움
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• pp.163-172
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• 1993

Cheju island is situated at about 90km south of southern most tip of the Korean peninsula. Its shape is an ellips with size of 80$\times$40$km^2$, and it is characterized by a symmetrical form whose peak is Mt. Halla (1950m). Major chemical composition of the rock samples from Manjang gul cave is determined by XRF using the fundamental parameter method consisting of fully auto quantitative analysis, semi quantitative analysis (order estimation) and group quantitative analysis. Judging from chemical composition ($SiO_2 = 53.07Wt% Fe_2 O_3=11.34Wt%, MgO=6.48Wt%, Na_2 O=3.07Wt%, K_2 O=1.05Wt%$), this rocks may belong to non alkalic basalt. K-Ar ages of two rocks samples from the Manjang gul cave are also determined. The discrepancy of K-Ar ages is found. They are 0.03Ma and 0.42Ma, respectively. This paper describes some problems experienced in dating young volcanic rocks and then discusses chemical composition, X-ray fluorescence analysis and the age of the formation of a lava tunnel such as Manjang gul cave in cheju Island.

• 한국동굴학회:학술대회논문집
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• 한국동굴학회 1994년도 제 6차 국제학술회 ASIA 동굴 SIMPOSIUM
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• pp.108-109
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• 1994

Cheju island is situated at about 90km south of southern most tip of the Korean peninsula. Its shape is an ellips with size of 80$\times$$40km^2$, and it is characterized by a symmetrical form whose peak is Mt. Halla (1950m). Major chemical composition of the rock samples from Manjang gul cave is determined by XRF using the fundamental parameter method consisting of fully auto quantitative analysis, semi quantitative analysis (order estimation) and group quantitative analysis. Judging from chemical composition ($SiO_2=53.07Wt% Fe_2O_3=11.34Wt%, MgO=6.48Wt%, Na_2O=3.07Wt%, K_2O=1.05Wt%$), this rocks may belong to non alkalic basalt. K-Ar ages of two rocks samples from the Manjang gul cave are also determined. The discrepancy of K-Ar ages is found. They are 0.03Ma and 0.42Ma, respectively. This paper describes some problems experienced in dating young volcanic rocks and then discusses chemical composition, X-ray fluorescence analysis and the age of the formation of a lava tunnel such as Manjang gul cave in cheju Island.

• 동굴
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• 제20권21호
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• pp.34-43
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• 1989

Cheju island is situated at about 60km south of southern most tip of the Korean peninsula. Its shape is an ellips with size of 80*40$\textrm{km}^2$, and it is characterized by a symmetrical form whose peak is Mt. Halla(1950m). Major chemical composition of the rock samples from Manjang gul cave is determined by XRF using the fundamental parameter method consisting of fully auto quantitative analysis, semi quantitative analysis (order estimation) and group quantitative analysis. Judging from chemical composition (SiO$_2$ = 53.07Wt％, Fe$_2$O$_3$ = 11.34Wt％, MgO=6.48Wt％, Na$_2$O=3.07Wt％, $K_2$O=1.05Wt％), this rocks from the Manjang gul cave are also determined. The discrepancy of K-Ar ages is found. They are 0.03 Ma and 0.42Ma, respectively. This paper describes some problems experienced in dating young volcanic rocks and then discusses chemical composition, X-ray fluorescence analysis and the age of the formation of a lava tunnel such as Manjang gul cave in cheju Island.

• Communications for Statistical Applications and Methods
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• 제25권6호
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• pp.605-618
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• 2018

Risk management has been a crucial part of the daily operations of the financial industry over the past two decades. Value at Risk (VaR), a quantitative measure introduced by JP Morgan in 1995, is the most popular and simplest quantitative measure of risk. VaR has been widely applied to the risk evaluation over all types of financial activities, including portfolio management and asset allocation. This paper uses the implementations of multivariate GARCH models and copula methods to illustrate the performance of a one-day-ahead VaR prediction modeling process for high-dimensional portfolios. Many factors, such as the interaction among included assets, are included in the modeling process. Additionally, empirical data analyses and backtesting results are demonstrated through a rolling analysis, which help capture the instability of parameter estimates. We find that our way of modeling is relatively robust and flexible.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.1069-1086
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• 2003

This article presents the asymptotic theory of triple sampling procedure as pertain to estimating the shape parameter of Pareto distribution. Both point and confidence interval estimation are considered within the same inference unified framework. We show that this group sampling technique possesses the efficiency of Anscome (1953), Chow and Robbins (1965) purely sequential procedure as well as reduce the number of sampling operations by utilizing Stein (1945) two stages procedure. The analysis reveals that the technique performs excellent as far as the accuracy is concerned. The present problem differs from those considered by many authors, in multistage sampling, in that the final stage sample size and the parameter's estimate become highly correlated and therefore we adopted different approach.

• 전력전자학회논문지
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• 제27권2호
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• pp.142-149
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• 2022

In increasing the safety and usage of lithium-ion battery packs, reducing the parameter deviation between cells, such as voltage and temperature within the battery pack, is important. In this study, we propose a screening method to reduce parameter deviation between cells in battery packs. Screening algorithms are constructed based on Fuzzy logic and quantitatively express the similarities between battery cells. Screening is applied by utilizing series resistance components after experiments of electrical characteristics that consider the operation status of battery packs. After screening, the standard deviation of series resistance components according to the similarity ranking is compared and analyzed, and their conformity are verified with the algorithm parameters.

• Biomolecules & Therapeutics
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• 제8권1호
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• pp.63-72
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• 2000

We intended to show some basic requirements for spectrum analysis of electroencephalogram (EEG) by visualizing the differences of the results according to different values of some parameters for analysis. Spectrum analysis is the most popular technique applied for the quantitative analysis of the electroen- cephalographic signals. Each step from signal acquisition through spectrum analysis to presentation of parameters was examined with providing some different values of parameters. The steps are:(1) signal acquisition; (2) spectrum analysis; (3) parameter extractions; and (4) presentation of results. In the step of signal acquisition, filtering and amplification of signal should be considered and sampling rate for analog-to-digital conversion is two-time faster than highest frequency component of signal. For the spectrum analysis, the length of signal or epoch size transformed to a function on frequency domain by courier transform is important. Win dowing method applied for the pre-processing before the analysis should be considered for reducing leakage problem. In the step of parameter extraction, data reduction has to be considered so that statistical comparison can be used in appropriate number of parameters. Generally, the log of power of all bands is derived from the spectrum. For good visualization and quantitative evaluation of time course of the parameters are presented in chronospectrogram.

• 한국터널지하공간학회 논문집
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• 제3권1호
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• pp.21-26
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• 2001

터널발파의 효율성을 높이기 위하여 지금까지 많은 연구가 이루어져 왔다. 그러나 막상 터널발파 설계에 적용할 가장 기본이 되는 단위체적당 폭약량을 정량적으로 산정하기에는 아직 입력변수 선정이 모호하여 어려운 실정이다. 이와 같은 근본적인 문제점을 해결하기 위해 17개소의 도로터널 현장에서 암종 및 굴착패턴별 사용된 폭약량을 조사 분석하여 암종과 암반등급을 감안한 관계식을 도출하였다. 이 관계식으로 가정보다는 현장 실용성을 내포한 정량적인 터널발파 설계가 이루어 질 수 있을 것이다.

• 대한의용생체공학회:의공학회지
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• 제22권1호
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• pp.49-58
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• 2001

본 연구에서는 진자 실험을 통하여 중추신경계 질환인 경직을 정량적으로 판정할 수 있는 새로운 LCL(Logically Classified Level) 척도(scale)가 개발되었다. 새로운 척도개발에는 총 30개의 변수가 사용되었다. 이를 위하여 실험결과의 통계적 분석이 수행되었고 이들 중 진자 실험에서 경직의 특성이 가장 잘 반영되는 변수가 대표변수로 선정되었다. 사용된 30개의 변수 중 20개는 새로 도출된 변수이며 10개는 선행된 연구자들에 의하여 개발된 변수이다. 새로운 20개의 변수들은 진자 실험에서 발생되는 특성들인 각도, 각속도, 근육 모델, EMG가 고르게 반영될 수 있도록 이들의 조합으로 도출되었다. 이변량 상관분석결과 총 30개의 변수들 중 11개의 변수들은 서로 밀접한 상관성이 있음이 파악되었다. 11개의 서로 강한 상관성을 보이는 변수 중 논리적인 모순이 없는 L11이 대표변수로 선택되었다. 28명의 환자 데이터는 대표변수인 L11를 기준으로 4개의 그룹으로 분리되었고 최종으로 이들 그룹의 경향을 예측할 수 있는 회귀 방정식을 유도하였다. 새로운 척도에 사용된 대표변수인 L11은 환자들에게서 나타날 수 있는 여러 경우에 적합한지 검토되었는데 미소한 환자의 상태까지 잘 반영하고 있음이 드러났다. 따라서 새로운 LCL 척도는 기존의 준 정량적인 척도인 MAS(Modified Ashworth Scale)를 대체할 수 있을 것으로 기대된다. 특히 환자의 초기 진단뿐만 아니라 동일한 환자의 치료전후, 병적 호전에 대하여 정밀하게 파악할 수 있어 약물의 처방량 조절, 치료기간 등 치료의 전략에 사용될 수 있을 것으로 기대된다.

• 한국자동차공학회논문집
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• 제21권3호
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• pp.88-97
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• 2013

This paper presents a robust air-to-fuel ratio (AFR) control algorithm for managing exhaust gas recirculation (EGR) systems. In order to handle production tolerance, deterioration and parameter-varying characteristics of the EGR system, quantitative feedback theory (QFT) is applied for designing the robust AFR control algorithm. A plant model of EGR system is approximated by the first order transfer function plus time-delay (FOPTD) model. EGR valve position and AFR of exhaust gas are used as input/output variables of the plant model. Through engine experiments, parameter uncertainty of the plant model is identified in a fixed engine operating point. Requirement specifications of robust stability and reference tracking performance are defined and these are fulfilled by the following steps: during loop shaping process, a PID controller is designed by using a nominal loop transmission function represented on Nichols chart. Then, the frequency response of closed-loop transfer function is used for designing a prefilter. It is validated that the proposed QFT-based AFR control algorithm successfully satisfy the requirements through experiments of various engine operating points.