• Journal of the Korean Society of Propulsion Engineers
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• v.21 no.5
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• pp.108-120
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• 2017

The technology for health management of gas turbine engine has grown with engine development itself for 60 years and regarded as important area for performance monitoring and maintenance of the system. This technology which is based on several areas such as advanced measurement technology, electronics, software technology and reliable system modeling is realized. This paper analyzed the past, current and future technical trend of a technically advanced country and compared with domestic research status. Based on the analysis, the key research topics for the realization of technology is suggested.

• Journal of the Korean Society of Propulsion Engineers
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• v.22 no.5
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• pp.13-21
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• 2018

Technology trends of onboard and ground health management system software for aircraft gas turbine engines are surveyed. The software has changed from ground based software for fault detection and identification to a model based health identification technology for onboard software. This advanced algorithm is currently under development in a technically advanced country while domestic research is on the birth stage. This paper suggested that the optimal development plan of the software considering current technology state.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.48-55
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• 2020

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

• Health Policy and Management
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• v.28 no.3
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• pp.288-293
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• 2018

In 1994 Korea government began to develop the healthcare industry, since then the government has tried to create opportunities to promote the industry through various political efforts and policies. The biggest achievement was attracting foreign patients from 2009 to 2016 with a cumulative 1.56 million and total revenue of 3 trillion won. But Korea still loses the opportunity to become a global leader in the health care industry due to regulations and various ideological disputes. Accordingly, it is necessary to facilitate policy understanding and present a practical road map so that Korea's healthcare industry become a new growth engine that will lead the trend of global market in the future. It also suggests a national economic development paradigm, the health economy as health and economic value are rotated through a shift in view of health care. At this point, 20 years after the beginning of the healthcare industry development, it is necessary to evaluate the related policies and discuss effective future directions. In this sense, the purpose of this study is to examine the policies and limitations of the healthcare industry by each government division, and based on it, to propose political tasks for the future.

• Journal of Korean Society for Atmospheric Environment
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• v.15 no.3
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• pp.317-325
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• 1999

The demand of diesel engine on the construction equipment has been rapidly increased because of high thermal efficiency and fuel economy. The exhaust emission from nonroad vehicles equipped with diesel engine such as construction equipment, ship, and agricultural equipment, etc. Which are known to be harmful to human health and environment, has not been regulated in our country. But the regulation for nonroad vehicle has been already progressed in advanced country. So we investigated the contribution ratio of air pollution by construction equipment in order to establish the exhaust emission management strategy for nonroad vehicle. Based on the statistical data for construction equipment, 5 kinds of equipment are selected and tested in the engine dynamometer to determine the emission factor. And the amount of air pollutant from construction equipment are calculated by using of the emission factor and recommended exhaust emission standard for construction equipment.

• Health Policy and Management
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• v.28 no.4
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• pp.327-328
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• 2018

The quality of healthcare in Korea is very good, especially in life threatening disease. However, the level of healthcare research in Korea is not good relative to that of engineering. International university rankings also were showed that engineering was generally higher ranking than medicine. The reason of this phenomenon was deeply related to expenditure on research and development (R&D). Although Korea had a lot of gross domestic expenditure on R&D (GERD), 75% of GERD was from business enterprise that was related to engineering. Healthcare expenditure of R&D from business enterprise is small. Healthcare expenditure from government budget allocation on R&D (GBARD) was smaller than engineering. Higher education expenditure on R&D of GERD was also small and the quantity and quality of researcher in higher education was not enough. For Korea's healthcare to become the growth engine for future, GBARD should be invested heavily in the healthcare, a large part of the increased GBARD must be invested in higher education, and the higher education should invest to secure the higher quality researcher stably.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.15 no.3
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• pp.153-159
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• 2005

The purpose of this study was to assess the ergonomic risks of lifting tasks in a marine diesel engine manufacturing industry using the National Institute for Occupational Safety and Health(NIOSH) Revised Lifting Equation(NLE). Average Lifting Index(LI=Weight of Load/Recommended Weight Limit) of a total number of 45 lifting tasks was $1.6{\pm}0.7$. The LIs were above 1 at 34 tasks(75.6%), and above 2 at 11 tasks(24.4%). Parts management showed the highest average LI value (LI=2.3) in all departments, which resulted from high frequency and heave load of lifting. The common and significant ergonomic risk factors in the processes were the heavy weight of diesel engine parts and the long horizontal distance. In addition, some lifting tasks had such potential risk factors as the long vertical distance, the high frequency of lifts or the long work duration.

• Transactions of the Korean Society of Automotive Engineers
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• v.7 no.9
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• pp.20-27
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• 1999

The proportion of diesel vehicle is very high in this country . PM and NOx emitted from diesel-posered vehicle is severely ;affecting to be air quality . Especially, diesel particulate matters(DPM) including black smoke are hazardous air pollutants to human health and environment. In order to reduce the exhaust emissions from diesel engines, it is necessary to analyze the characteristics of exhaust emissions from diesel engines in various driving conditions. Recently, there are occasion to increase the fuel consumption rate to engine power up. So, in this study we have tested a diesel engine detached from in use -diesel vehicle and analyzed exhaust emission by driving condition and fuel dispersion rate. From this results, we will prepare the comprehensive management plan for exhaust emissions from diesel vehicles and contribute to the improvement of air pollution in urban area.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.59-67
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• 2009

The goal of this study is to propose the effective method of investigating the injurious factors and making improved plans that prevents the workers against musculoskeletal disorders at an diesel engine manufacturing company and the same business field with similar working conditions and process. A questionnaire were adopted to analyze the symptoms of workers' musculoskeletal disorders, and an ergonomic assessment method such as RULA, OWAS were performed to find out harmful factors of workplace and working posture. Based on the result of the evaluation, to enhance the working environment, improvement of worktable, working space, tools, and outfit was suggested, and induction of mechanical system was also suggested. It can be concluded that the method and process described in this paper could be helpful for diagnosing the musculoskeletal disorders and making improvement plans to the diesel engine fuel injection system manufacturing company and the same business field with similar working conditions and process.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.70-77
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• 2016

The purpose of this research was to assess university students' nutrition knowledge, confidence, information sources and their body image. This study used an online survey engine to collect data from college students. The result of the correlation showed overall subjective knowledge had significant correlation with nutrition. Means of the BMI were compared among the demographic groups with regard to their ethnicity, classification, and age. Significant differences were found among demographic groups regarding the means of the BMI. These findings can enhance the extant literature on the universal applicability of the model and serve as useful references for further investigations within other health care or foodservice settings and for other health behavioral categories.