• Journal of Sasang Constitutional Medicine
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• v.22 no.4
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• pp.30-39
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• 2010

1. Objectives This study was carried out to investigate the equilibrium functional difference according to mean velocity of basilar artery with Sasang Constitution. 2. Methods We analyzed the data of 300 adults(194 males, 106 females), who visited oriental hospital of D university for medical examiation, which includes Sasang constitution examination, equilibrium function test, transcranial doppler ultrasonography(TCD). We evaluated the trace length and envelop area of open eyes and closed eyes, mean velocity of basilar artery and analyzed its statistical data. 3. Results and Conclusions 1) Within all subjects, trace length and envelop area of closed eyes were significantly lower, in the order of increased mean velocity of basilar artery group, normal mean velocity of basilar artery group and decreased mean velocity of basilar artery group. 2) No significantly difference was seen between the mean velocity of basilar artery and equilibrium function in Soyangin and Soeumin. 3) When closed eyes, trace length were significantly lower in order of increased mean velocity of basilar artery group, normal mean velocity of basilar artery group and decreased mean velocity of basilar artery group, in Taeeumin.

• Journal of Ocean Engineering and Technology
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• v.11 no.2
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• pp.91-99
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• 1997

This paper presents theoretical formulations and numerical computations for predicting first-and second-order hydrodynamic force on a ship advvancing in waves. The theoretical formulation leads to linearized radiation and diffration problems solving the three-dimensional Green function integral equations over the mean wetted body surface. Green function representing a translating and pulsating source potantial for infinite water depth is used. In order to solve integral equations for three dimentional flows using Green function efficiently, the Hoff's method is adopted for numerical calculation of the Green function. Based on the first-order solution, the mean seconder-order forces and moments are obtained by directly integrating second-order pressure over the mean wetted body surface. The calculated items are carried out for analyzing the seakeeping characteristics of Series 60. The calculated items are hydrodynamic coefficients, wave exciting forces, frequency response functions and addd resistance in waves.

• Journal of the Korean Statistical Society
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• v.22 no.2
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• pp.147-157
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• 1993

In the survivla analysis the problem of estimating mean residual life function (MRLF) under random censoring is very important. In this paper we propose and study a nonparametric estimator of MRLF, which is a functional form based on the estimator of the survival function due to Susarla and Van Ryzin (1980). The proposed estimator is shown to be better than some other estimators in terms of mean square errors for the exponential and Weibull cases via Monte Carlo simulation studies.

• Journal of Integrative Natural Science
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• v.6 no.2
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• pp.111-117
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• 2013

We propose a mean value function for software failures in NHPP software reliability model. And we deal with the maximum likelihood estimation and the least squares estimation in the proposed mean value function. The explicit mean value function solution for the proposed model is presented by MLE and LSE in two data sets. The values of SSE and MSE is presented in two data sets by MLE and LSE. We compare the predicted number of faults with the actual two data sets using the proposed mean value function.

• Journal of the Korean Mathematical Society
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• v.58 no.6
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• pp.1529-1547
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• 2021

In this series, we investigate the calculation of mean values of derivatives of Dirichlet L-functions in function fields using the analogue of the approximate functional equation and the Riemann Hypothesis for curves over finite fields. The present paper generalizes the results obtained in the first paper. For µ ≥ 1 an integer, we compute the mean value of the µ-th derivative of quadratic Dirichlet L-functions over the rational function field. We obtain the full polynomial in the asymptotic formulae for these mean values where we can see the arithmetic dependence of the lower order terms that appears in the asymptotic expansion.

• The Journal of Korean Physical Therapy
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• v.25 no.6
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• pp.374-378
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• 2013

Purpose: Human body have biological rhythmic pattern in a day, which is affected by internal and external environmental factors. We investigated whether respiratory function was fluctuated according to the influence of time-of-day (around at 9 am, 1 pm, and 6 pm) in health subjects, using pulmonary function test (PFT). Methods: Eighteen healthy volunteers (8 men, mean ages; $22.4{\pm}1.6$, mean heights; $166.61{\pm}9.60$, mean weight; $59.3{\pm}10.3$) were recruited. Pulmonary function test (PFT) was measured at three time points in day, around 9 am, 1 pm, and 6 pm in calm research room with condition of under 55dB noise level, using a spirometer (Vmax 229, SensorMecis, USA). Forced vital capacity (FVC), forced expiratory volume at one second (FEV1), FVC/FEV1, and peak expiratory flow (PEF) were acquired. Results: In comparison of raw value of PFT among three time points, subjects showed generally better respiratory function at 9 am, than at other points, although no significance was found. In comparison of distribution of ranking for respiratory function in each individual, only PEF showed significant difference. In general, distributional ratio of subjects who showed best performance of respiratory function in a day was high. Conclusion: These findings showed that circadian rhythm by diurnal pattern was not detected on respiratory function throughout all day. But, best performance on respiratory function was observed mostly in the morning, although statistical significance did not exist.

• Journal of the Korean Society of School Health
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• v.18 no.1
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• pp.47-58
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• 2005

Purpose:　This study is a descriptive correlation survey with the purpose of identifying the relationship between family function and hope in adolescents. It was done to provide basic data for developing family centered nursing strategies to promote adolescents' hope. Methods: The subjects of this study were 1030 high school students in J city. Data were analyzed with SPSS 10.0 program. Frequencies and percentages were used to compare the subjects' general characteristics. Minimum values, maximum values, mean scores and mean grades were used to identify the level of family function and hope. Pearson's correlation coefficient was used to analyze the relationship between family function and hope in adolescents, and t-test, ANOVA, and Scheffe test were used to examine the level of family function and hope by general characteristics. Results:　1. The level of adolescents' family function ranged from 26 to 97, the mean score was 66.85$\pm$13.16, and the mean grade was 2.76$\pm$0.52. 2. The level of adolescents' hope ranged from 55 to 153, the mean score was 111.48$\pm$17.64 and the mean grade was 2.78$\pm$0.44.　3. It showed that there is a significantly positive correlation (r=0.546, p=.000) between adolescents' family function and hope. That is, the better family function adolescents have, the higher level of hope they have. 4. Adolescents' family function showed significant differences according to school record (F=6.363, p=.002), school life satisfaction (F=4.922, p=.007), father's education (F=2.640, p=.048), mother's education (F=3.586, p=.013) and domestic economy status(F=3.022, p=.049).　5. Adolescents' hope showed significant differences according to religion (t=2.018, p=.044), school type (t=2.567, p=.010), school record (F=9.712, p=.000), school life satisfaction (F=11.367, p=.000), father's education (F=4.632, p=.003), mother's education (F=4.709, p=.003), domestic economy status (F=4.235, p=.015), relationship with friends (F=8.187, p=.000), and subjective health condition (F=5.490, p=.001). Conclusion: First, in order to improve adolescents' family function, which encourages hope in adolescents, it is necessary to develop nursing interventions and to make further studies.　Second, it is necessary to develop instruments for improving Korean adolescents' family function and hope. Third, further studies are required to improve adolescents' family function and hope in special situations such as disease, drug abuse and juvenile delinquent.

• Journal of the Korean Data and Information Science Society
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• v.11 no.2
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• pp.279-293
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• 2000

This article suggests two change-point estimators which are modifications of Carlstein(1988) change-point estimators with rank functions and mean functions where there is one change-point in a mean function. A comparison study of Carlstein(1988) estimators and proposed estimators is done by simulation on the mean, the MSE, and the proportion of matching true change-point.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.5
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• pp.526-534
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• 2014

In this study, single-input transfer function model is applied to forecast monthly mean sea surface temperature(SST) in 2010 at Yeosu in Korean coastal waters. As input series, monthly mean air temperature series for ten years(2000-2009) at Yeosu in Korea is used, and Monthly mean SST at Yeosu station in Korean coastal waters is used as output series(the same period of input). To build transfer function model, first, input time series is prewhitened, and then cross-correlation functions between prewhitened input and output series are determined. The cross-correlation functions have just two significant values at time lag at 0 and 1. The lag between input and output series, the order of denominator and the order of numerator of transfer function, (b, r, s) are identified as (0, 1, 0). The selected transfer function model shows that there does not exist the lag between monthly mean air temperature and monthly mean SST, and that transfer function has a first-order autoregressive component for monthly mean SST, and that noise model was identified as $ARIMA(1,0,1)(2,0,0)_{12}$. The forecasted values by the selected transfer function model are generally $0.3-1.3^{\circ}C$ higher than actual SST in 2010 and have 6.4 % mean absolute percentage error(MAPE). The error is 2 % lower than MAPE by ARIMA model. This implies that transfer function model could be more available than ARIMA model in terms of forecasting performance of SST.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.145-152
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• 2019

All machines deteriorate in performance over time. The phenomenon that causes such performance degradation is called deterioration. Due to the deterioration, the process mean of the machine shifts, process variance increases due to the expansion of separate interval, and the failure rate of the machine increases. The maintenance model is a matter of determining the timing of preventive maintenance that minimizes the total cost per wear between the relation to the increasing production cost and the decreasing maintenance cost. The essential requirement of this model is that the preventive maintenance cost is less than the failure maintenance cost. In the process mean shift model, determining the resetting timing due to increasing production costs is the same as the maintenance model. In determining the timing of machine adjustments, there are two differences between the models. First, the process mean shift model excludes failure from the model. This model is limited to the period during the operation of the machine. Second, in the maintenance model, the production cost is set as a general function of the operating time. But in the process mean shift model, the production cost is set as a probability functions associated with the product. In the production system, the maintenance cost of the equipment and the production cost due to the non-confirming items and the quality loss cost are always occurring simultaneously. So it is reasonable that the failure and process mean shift should be dealt with at the same time in determining the maintenance time. This study proposes a model that integrates both of them. In order to reflect the actual production system more accurately, this integrated model includes the items of process variance function and the loss function according to wear level.