• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.30
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• pp.59-65
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• 1994

선형회귀모형에서 새로운 변수가 모형에 도입될때 몇몇 비정상적인 관찰치들은 변수들 간에 내재되어 있는 다공선성을 감추거나 혹은 오히려 더욱 크게 부풀림으로써 도입변수에 대한 해석을 매우 어렵게 만든다. 본고에서는 이러한 관찰치들을 식별할 수 있는 방법을 제안하였는데, 이와 같은 식별법은 postulated model의 회귀계수추정치에 대한 도입변수의 섭등(perturbations)을 분해함으로써 가능하였다.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.9-18
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• 2005

This study delivers the actual condition of investment for industrial accident prevention based on survey of 526 construction sites. The various research techniques were used such as technical statistic analysis for construction industry, construction and civil engineering works, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.19-30
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• 2005

This study delivers the actual condition of investment for industrial accident prevention based on survey of 526 construction sites. The various research techniques were used such as technical statistic analysis for construction industry, construction and civil engineering works, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

• Journal of Korean Institute of Industrial Engineers
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• v.4 no.1
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• pp.29-32
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• 1978

We obtain the minimum variance unbiased estimate of system reliability when a system consists of n components whose life times are assumed to be independent and identically distributed either negative exponential or geometric random variables. For the case of a negative exponential life time, we obtain the minimum variance unbiased estimate of the probability density function of the i-th order statistic.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.22 no.4
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• pp.289-294
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• 2018

In this work, a recently developed semi-analytic technique, so called the residual power series method, is generalized to process higher-dimensional linear and nonlinear partial differential equations. The solutions obtained takes a form of an infinite power series which can, in turn, be expressed in a closed exact form. The results reveal that the proposed generalization is very effective, convenient and simple. This is achieved by handling the (m+1)-dimensional Burgers equation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.40
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• pp.99-105
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• 1996

최적 Burn-In 방법은 신뢰성이나 평균수명을 극대화하고 위험율과 Cost를 극소화 하는 것이다. 기존의 연구는 하나의 목적을 대상으로 Burn-In 방법에 대하여 연구하였으나 상호 상충되는 목표에 대해 의사 결정을 하는 복잡하고 어려운 상황을 고려하여야 한다. 그러므로 둘 이상의 목표에 대한 최적의 Burn-In 방법에 대하여 연구되어야 한다. 본 논문에서는 이를 위해 Surrogate Worth Trade Off 기법을 사용하여 실제 최적의 Burn-In 방법을 구하고자 하는 경우에 대하여 연구하였다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.27 no.4
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• pp.296-310
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• 2023

In this paper, we derive the Γ-limit of functionals pertaining to some optimal material distribution problems that involve a variable exponent, as the exponent goes to infinity. In addition, we prove a relaxation result for supremal optimal design functionals with respect to the weak-∗ L^∞(Ω; [0, 1])× W^1,p0 (Ω;ℝ^m) weak topology.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.19-29
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• 2007

According to industrial disaster statistics by the Ministry of Labor in 2006, out of 11,688,797 people working at 1,292,696 business places that apply Industrial Disaster Indemnity Act, 89,910 workers were involved in an accident that more than 4 days of medical treatment requires. Among this figure 2,453 people lost their precious lives. "89,910 industrial disaster victims per annum" is showing the safety level of our industrial situation. To prevent such industrial disaster, the most typical and distinctive method is Accident-free Campaign. At the beginning, the movement arose with devotion through out the entire industry. But, the heartbreaking fact is that the fever is getting cool gown as times goes by. Therefore, opportunity for revitalization of this movement is required. The movement should be practically supporting principle of respect for human life and dignity. And it should be established with analysis on industrial disaster and systematize Accident-free Campaign totally in connected research.

• The Journal of Industrial Distribution & Business
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• v.13 no.6
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• pp.9-18
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• 2022

Purpose: The government around the world is still highlighting the effect of the new variant of Covid-19. The government continues to make efforts to restore the economy through several programs, one of them is National Economic Recovery. This program is expected to increase public and investor confidence in handling Covid-19. This study aims to capture public sentiment on the economic growth rate in Indonesia, especially during the third wave of the omicron variant of the covid-19 virus, that is at the time in the fourth quarter of 2021. Research design, data, and methodology: The approach used in this research is to collect crowdsourcing data from twitter, in the range of 1st to 10th October 2021. The analysis is done by building model using Deep Learning Neural Network method. Results: The result of the sentiment analysis is that most of the tweets have a neutral sentiment on the Economic Growth discussion. Several central figures who discussed were Minister of Coordinating for the Economy of Indonesia, Minister of State-Owned Enterprises. Conclusions: Data from social media can be used by the government to capture public responses, especially public sentiment regarding economic growth. This can be used by policy makers, for example entrepreneurs to anticipate economic movements under certain conditions.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.4_2
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• pp.657-668
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• 2023

It's important to note that air compressors in the industrial sector are major energy consumers, accounting for a significant portion of total energy costs in manufacturing plants, ranging from 12% to 40%. To address this issue, researchers have compared forecasting models that can predict the power consumption of air compressors. The forecasting models were designed to incorporate variables such as flow rate, pressure, temperature, humidity, and dew point, utilizing statistical methods, machine learning, and deep learning techniques. The model performance was compared using measures such as RMSE, MAE and SMAPE. Out of the 21 models tested, the Elastic Net, a statistical method, proved to be the most effective in power comsumption forecasting.