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최봉욱,김광섭 한국산업경영시스템학회 1997 한국산업경영시스템학회지 Vol.20 No.44
The purpose of this paper is to compare the manufacturing process with random covariate using multiple comparison procedure. The methodology that compares each manufacturing process by inspecting the number of nonconforming items out of k-treatment, has serveral limitations and problems according to the method and contect of the analysis. The proper way of analysis, therefore, could be obtained by the multiple comparison procedure of simultaneous confidence region of variance components. Effections that affect a manufactuing process may be predictive of responce to treatments are called covariates. In the study of comparing several treatments, prsense of covariate may bias the estimates of treatment effects.
오염원 및 기상 조건에 따른 울산지역의 고농도 대기오염 분포 특성
최봉욱,정종현,최원준,손병현,오광중,Choi, Bong-Wook,Jung, Jong-Hyeon,Choi, Won-Joon,Shon, Byung-Hyun,Oh, Kwang-Joong 한국환경보건학회 2006 한국환경보건학회지 Vol.32 No.4
Five sampling sites were selected to investigate the distribution characteristics of air pollutants with pollution sources and weather conditions in Ulsan. $SO_2,\;NO_2,\;O_3,\;CO,\;PM_{10}$ concentrations and weather conditions with time were analyzed by using several statistical methods. Also, the distribution characteristics of ambient air quality were estimated by pollution-rose and multi-regression analysis. As a result of the analysis, $NO_2,\;CO\;and\;PM_{10}$ concentrations were high in winter season, whereas $SO_2\;and\;O_3$ concentrations were high in summer season. This concentration distribution was caused by the unfavorable geographical location, which the residential area was located at the downwind direction to industrial area. From the pollution-rose, we confirmed that each pollutant influenced the downwind residential areas because of seasonal wind direction. $SO_2$ concentration has shown positive correlation of $0.2{\simm}0.3$ for $NO_2,\;PM_{10}$ and temperature, while $O_3$ concentration has shown negative correlation. Also, $NO_2$ and CO concentrations, pollutants generated by combustion, have shown positive correlation, while $O_3$ concentration and temperature have shown negative correlation. Therefore, it could be suggested that a seasonal air quality policy and a new guideline of air quality was necessary in each season with wind directions to reduce the air pollution level in Ulsan.
발생원에 근거한 울산지역의 대기중금속 분포특성 및 발암위해성 평가
최봉욱,정종현,최원준,전창재,손병현,Choi, Bong-Wook,Jung, Jong-Hyeon,Choi, Won-Joon,Jeon, Chang-Jae,Shon, Byung-Hyun 한국환경보건학회 2006 한국환경보건학회지 Vol.32 No.5
This study has been conducted to evaluate the influence of ambient heavy metals to the air quality and to find their sources in Ulsan. Korea. The distribution characteristics of ambient heavy metals with wind direction were investigated by using pollution-rose diagram. Carcinogenic risk for five trace heavy metals (Pb. Cd, Cr, Mn, and Ni), which are classified to carcinogenic material by US EPA, are assessed according to the classification system of USEPA and WHO. According to pollution-rose calculation on pollutants sources, Pb and Cu in Deoksin, which is an adjacent to Onsan industrial complexes, were $0.1058\;and\;0.3242{\mu}g/m^3$. These concentration levels are the highest at all sampling sites. From this result we could confirm that it was affected by Onsan industrial complex that is located northeast of Deoksin.,And the maximum concentration of Cd, Cr, and Ni were $0.0306,\;0.0102,\;and\;0.0146\;{\mu}g/m^{3} in Yeocheon respectively. Because Yeocheon is in the Mipo industrial complexes, which have many combustors, incinerators, and manufacturing facilities compared to other regions. In carcinogenic risk assessment, Pb, Ni, and Mn concentration level at six sampling sites were lower than the risk level guideline values ($10^{-5}$) of WHO. However, $Cr^{6+}$ and Cd concentration in Yeocheon were 60% and 205% higher than the guideline values of WHO. Therefore it is very important that the emission from industrial complexes were carefully managed and controlled to improve air quality in residential area.
최봉욱,김광섭 대한설비관리학회 2002 대한설비관리학회지 Vol.7 No.1
There are two types of method in time series analysis ; time domain method and frequency domain method. This paper is concerned with the frequency domain method which is based on the assumption that a signal can be approximated by sinusoidal waves of different frequencies. The periodogram and sample spectrum are appropriate tools for analyzing the time series. The proposed procedure has four steps which are model identification, factor analysis, calculation of periodogram and determination of major period. This four-step procedure shows good capability for cyclical factor analysis of time series.
Neural Network과 Box-Jenkins방법을 이용한 식료품의 수요예측
최봉욱,박우용,김광섭 대한설비관리학회 1998 대한설비관리학회지 Vol.3 No.2
Enterprises which manufacture foodstuffs should forecast the exact amount of goods according to the customer's demand in order to reduce inventory or hold stock of manufactured goods. The propose of this paper is to study the methods which forecasts more exact demand of customer. In this study, Box-Jenkins and Neural Network are compared using the mean square error.
최봉욱,오영선,김광섭 한국산업경영시스템학회 2003 한국산업경영시스템학회 학술대회 Vol.2003 No.춘계
This paper concerned with design of constant stress accelerated lift test(ALT). Becase a major factor to affect a life of automotive V-ribbed belts is a temperature, we selected a temperature as a accelerated fator to perform a test. Acclelerated life test plans were developed with the assumption of weibull lifetime distribution. The genreal value of beta parameter was accepted in this life test (β=1.1). The sample number was calculated by alpha parameter which was induced by beta.