• Journal of Korean Public Health Nursing
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• v.7 no.1
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• pp.81-97
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• 1993

This study was carried out to analyze the factors of the perieved symptoms of fatigue of the industrial workers, to examine the inter-relatisnship of the above factors with their general charactenstics and the environments of working area for the examination of their health status and the effective health management of them. This study was undertaken from December 1 to December 20, 1990. The subjets were 495 workers who had worked at the Industrial complex located in Chonbuk Province. The result of this study were as follows: 1. The worker's percieved symptoms of fatigue were classified to the following seven factors; A) Musculo-Skeletal Symptoms, B) Neuro-Psychial Symptoms, C) Optical Symptoms, D) Heart Symptoms, E) Head Symptoms, F) Respiratory Symptoms, G) Genital Symptoms 2. Analysis of the inter-relationship of their percieved symptoms of fatigue with general characteristics; 1) The difference of distribution to their percieved symptoms of fatigue according to sexuality was significant; Female were higher than Male $(p{\leqq}0.001$, p<0.005) 2) The difference of distribution to their percieved symptoms of fatigue according to age was significant; Age group under 24 years of age were higher than the other's group (p<0.001). 3) The difference of distribution to their percieved symptoms of fatigue according to the level of education was significant; Workers who stand on a low intellectual were higher than workers on a high intellectual level. 4) The difference of distribution to their percieved symptoms of fatigue for a week was the highest when worked at sunday. 5) The difference of distribution to their percieved symptoms of fatigue for seasons was high at spring. 3. Analysis of the inter-relationship of their percieved symptoms of fatigue with the environments of working area. 1) The difference of distribution of their percieved symptoms of fatigue according to the working department was significant; Production workers were higher than office workers. 2) The difference of distribution of their percieved symptoms of fatigue related with working posture was significant; Sitting: Musculo-Skeletal symptoms (p<0.05), Optical symptoms (p<0.005) 3) The more dissatisfied with their's own duty they were, the higher became the distribution of their percieved symptoms of fatigue (p<0.001. p<0.005, p<0.05) 4) The more dissatisfied with their working condition they were, the higher became the degree of their percieved symptoms of fatigue (p<0.001. P<0.05) 5) The difference of distribution of their percieved symptoms of fatigue according to kinds of job was significant: Workers who has handled heavy materials were higher than who had not handled $(p{\leqq}0.001$, p<0.05). Workers who has handled chemical materials: Optical, symptoms $(p{\leqq}0.001)$. Workers who has handled dusty materials: Respiratory symptoms (p<0.01) 6) The environment of working area was significantly affected to the distribution of their percieved symptoms of fatigue: Workers complains of a illumination problem; Optical symptoms (p<0.005), Heart symptoms (p<0.005) Workers complains of a ventilation problem: Heart symptoms (p<0.05), Optical symptoms, Heart symptoms (p<0.01) Musculo-skeletal symptoms ($p{\leqq}0.001$)

• Water Engineering Research
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• v.4 no.3
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• pp.155-173
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• 2003

Parameters and quantiles of the 2-parameter generalized Pareto distribution were estimated using the methods of regular moments, modified moments, probability weighted moments, linear moments, maximum likelihood, and entropy for Monte Carlo-generated samples. The performance of these seven estimators was statistically compared, with the objective of identifying the most robust estimator. It was found that in general the methods of probability-weighted moments and L-moments performed better than the methods of maximum likelihood estimation, moments and entropy, especially for smaller values of the coefficient of variation and probability of exceedance.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.271-275
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• 2005

Queueing models are good models for fragments of communication systems and networks, so their investigation is interesting for theory and applications. Theses queues may play an important role for the validation of different decomposition algorithms designed for investigating more general queueing networks. So, in this paper we illustrate that the batch size distribution affects the loss probability, which is the main performance measure of a finite buffer queues.

• Journal of applied mathematics & informatics
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• v.26 no.3_4
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• pp.721-732
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• 2008

A single server infinite capacity queueing system with Poisson arrival and a general service time distribution along with repeated attempt and server vacation is considered. We made a comprehensive analysis of the system including ergodicity and limiting behaviour. Some operating characteristics are derived and numerical results are presented to test the feasibility of the queueing model.

• Transactions of the Korean Society of Automotive Engineers
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• v.1 no.1
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• pp.32-40
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• 1993

Flow fields in model engine cooling passages are studied numerically by using TURBO-3D program, a finite volume based 3-D turbulent flow program adopting a general body fitted coordinate system. The effects of exit position on mass flow rate at each gasket hole are examined for a model cooling passage in order to understand the flow distribution inside the water jacket. The results of the present study can be applied to the design of high performance, high reliability engine.

• Industrial Engineering and Management Systems
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• v.4 no.2
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• pp.123-128
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• 2005

The author derives a general explicit formula and presents an heuristic algorithm for solving Baker’s model. The examples show that this new approximate solution procedure for determining near optimum inspection intervals is more accurate than the ones suggested by Chung (1993) and Vaurio (1994), and is more efficient computationally than the one suggested by Hariga (1996). The construction and solution of the simplest profit model for an exponential failure distribution were presented in Baker (1990), and approximate analytical results were obtained by Chung (1993) and Vaurio (1994). The author will therefore mainly devote the following discussion to the problem of further approximating optimum inspection intervals.

• Journal of the Korean Statistical Society
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• v.27 no.4
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• pp.397-405
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• 1998

We develop parametric bootstrap model selection criteria in an example to fit a random sample to either a general normal distribution or a normal distribution with prespecified mean. We apply the bootstrap methods in two ways; one considers the direct substitution of estimated parameter for the unknown parameter, and the other focuses on the bias correction. These bootstrap model selection criteria are compared with AIC. We illustrate that all the selection rules reduce to the one sample t-test, where the cutoff points converge to some certain points as the sample size increases.

• Journal of the Korean Data and Information Science Society
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• v.21 no.4
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• pp.757-764
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• 2010

In this paper, we develop the reference priors for the common location parameter in the half-normal distributions with unequal scale paramters. We derive the reference priors as noninformative prior and prove the propriety of joint posterior distribution under the general prior including the reference priors. Through the simulation study, we show that the proposed reference priors match the target coverage probabilities in a frequentist sense.

• International Journal of Quality Innovation
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• v.1 no.1
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• pp.97-105
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• 2000

In this paper, a two-section method for measuring is introduced and the variation sources of measurement process are analysed. Measuring is a special process in general process. Various variation source must be firstly decomposed so that the statistical distribution law of measuring process can be established, and then implement monitoring control of the measuring process. A special method to obtain the measuring variation is discussed, and a monitoring control technique for measuring process is studied based statistical distribution. Towards the end, we briefly introduce software design for the analysis and control of a measurement process.

• Journal of the Korean Statistical Society
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• v.36 no.3
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• pp.411-421
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• 2007

The recent work by the authors (see, Withers, 1999; Withers and McGavin, 2006; Withers and Nadarajah, 2006) provided new expressions for repeated upper tail integrals of the univariate normal density and so also for the general Hermite function. Here we derive new expressions for repeated lower tail integrals of the same. The calculations involve the use of Moran's L-function and the Airy function. In particular, the Hermite functions are expressed in terms of Moran's L-function and vice versa.