• Proceedings of the Korean Society of Food and Cookery Science Conference
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• 2003.05a
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• pp.48-57
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• 2003

노화는 자유라디칼에 의해 발생한다는 이론을 발표한 Hannan$^{(1)}$ 은 현재 선진국 수준의 환경이 주어질 경우 평균 기대수명은 85세 정도이며, 최대수명은 122세로 보고 있다. 2000년 현재 우리국민의 평균수명은 75.9세로서 1979년의 65.8세보다 약 10세가 증가하였으며, 이러한 수명증가 추세는 세계적으로 높은 기록이며 앞으로도 계속 증가할 것으로 예측되고 있다. 이에 따라 우리나라는 2000년에 65세 이상의 노인인구가 전체인구의 7%를 넘어서는 소위 “고령화사회”로 진입하였으며, 2020년에는 노인인구의 비율이 15%를 넘는 “고령사회”가 도래할 것으로 예상되고 있다. (중략)

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.816-818
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• 2016

The Industry 4.0 should decide work operation of manufacture facilities by itself. But small and medium sized enterprises(SMEs) still not prepared these work operations. In this paper, we had research that work operation manufacture facilities of a management system of mold life-cycle based on CPS. The management system of mold manages life-cycle using by shot, this information offers users by cloud system. This system will help SMEs products quality improve and business operation more efficiency.

• Journal of Korea Technology Innovation Society
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• v.15 no.4
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• pp.745-765
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• 2012

When attempting to use the income approach for the purpose of technology valuation, it is essential to identify the economic life of the technology in question. From the mid-2000s up to the present, the methods proposed by major Korean institutions for estimating the economic life of technologies have been based on cited patent life (CLT), which is one of the types of technology life. The present study utilizes cited patent life (CLT) to estimate the economic life of technology for the purpose of technology valuation, and proposes a new method of analyzing cited patent life, a method that has been improved by taking into consideration the elapsed period and the time period of investment required for commercialization, two factors which have been hitherto overlooked. Survival curve analysis is a method that has already been widely utilized to estimate the economic life of tangible assets, and this study applies the same method to the calculation of the cited patent life index of technology to provide a more objective method for determining the lifetime of a technology. The remaining life expectancy of cited patent life based on the number of elapsed years was calculated and used to determine the life expectancy of a technology that has reached a specific number of elapsed years, which is referred to as the remaining cited-patent life time (r-CLT).

• The Korean Journal of Applied Statistics
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• v.31 no.1
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• pp.41-65
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• 2018

In Korea, as the mortality rate improves in a shorter period of time than in developed countries, it is important to consider the selection of the time series as well as the model selection in the mortality projection. Therefore, this study proposed a method using the multiple regression model in respect to the selection of the time series period. In addition, we investigate the problems that arise when various time series are used based on the Lee-Carter (LC) model, the kinds of LC model along with Lee-Miller (LM) and Booth-Maindonald-Smith (BMS), and the non-parametric model such as functional data model (FDM) and Coherent FDM, and examine differences in the age-specific mortality rate and life expectancy projection. Based on the analysis results, the age-specific mortality rate and predicted life expectancy of men and women are calculated for the year 2030 for each model. We also compare the mortality rate and life expectancy of the next generation provided by Korean Statistical Information Service (KOSIS).

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.1019-1032
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• 2013

The accurate prediction of future mortality is an important issue due to recent rapid increases in life expectancy. An accurate estimation and prediction of mortality is important to future welfare policies. The optimal selection of a mortality model is important to estimate and predict mortality; however, the period of time series data used is also an important issue. It is essential to understand that the time series data for mortality is short in Korea and the data before 1982 is incomplete. This paper divides the time series of Korean mortality into two sets to compare the parameter estimates of the LC model and LC model with a cohort effect by the period of data used. A modeling and prediction of the mortality index and cohort effect index as well as the evaluation of future life expectancy is conducted. Finally, some suggestions are proposed for the future prediction of mortality.

• Food Science and Industry
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• v.55 no.2
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• pp.154-165
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• 2022

Humans have been breeding the mulberry silkworm for the long period of time to obtain silk fabric and nutrient-rich pupae. Currently, silkworm larvae, pupae, and silk-Fibroin hydrolysates are registered as food raw materials, while silkworm feces and Bombyx batryticatus are registered as Korean traditional medicines. Among sericulture products, individually recognized health functional food ingredients include silk-protein acid-hydrolysates for immunity enhancement, Fibroin-hydrolysates for memory improvement, and freeze-dried 5^th instar and 3^rd-day-silkworm powder for lowering-blood sugar. Recently, HongJam produced by steaming and freeze-drying mature silkworms were reported to have various health-promoting effects such as preventing the onset of Alzheimer's disease and Parkinson's disease, enhancing gastro-intestinal functions, improving skin-whitening and hair growth, and extending healthspan. By consuming silkworm products with various health-promoting effects, it is possible to increase the healthspan of human beings, thereby reducing personal and national medical expenses, resulting in increasing the individual's happiness.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.5D
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• pp.453-461
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• 2012

Life analysis is conducted for economic analysis of equipment or facilities. The purpose of life analysis is to predict future indicators for scrapping construction equipment, and establish and utilize a wide variety of business strategies according to data predictions. First, this study shows the methods to figure out average life, life expectancy and life prediction of construction equipment and the analysis of life making methods, using survival curves. Second, the study proposes and examines the life expectancy making model depending on revenues and expenses. The result of the study reveals that the economic life of the same equipment varies with expenses, revenues and the initial cost. The life expectancy making model for construction equipment reflects respective management status for equipment and will help efficient management for companies.

• Journal of Technology Innovation
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• v.20 no.2
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• pp.49-74
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• 2012

In this study we analyzed factors affecting the life cycle of technology, quantified the evaluation criteria that will affect the life of the individual technologies, and finally proposed the improvements to calculate technology life cycle that the properties of individual technologies are reflected based on cited-patent life time(CLT). It is expected that the methodology proposed improves the limits of the existing standard model, presents more reasonable criteria and ease of persuasion on the results derived by appraisers, and finally gives a lot of the feasibility and the usability of technology life cycle derived by the improved method to appraisers.

• Journal of the KSME
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• v.32 no.4
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• pp.340-350
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• 1992

이 글에서는 재료의 경년열화의 종류, 판정 방법 등에 관한 일반사항을 기술하고 고온 . 고압용 기의 경년열화현상의 대표적인 예인 T.E의 기구와 T.E감수성에 미치는 화학성분의 영향에 대해 설명하였다. 아울러 필자가 그 동안 연구해온 T.E에 의한 재료강도저하를 설명하고 수명예측을 행할 수 있는 방법을 설명하였다. 끝으로 열화의 비파괴 판정만으로 수명예측이 어려우므로 시 간에 따른 열화 정도를 파악 할 수 있는 재료강도의 주곡선을 만들어야 할 것이다. 이와 같은 실험을 하기 위해 열화재의 가속제작방법과 열화치료대책 등에 대해 설명하였다. 앞으로 국내 에서는 열화에 대한 재료강도의 주곡선이 많이 얻어져서 기계 구조물의 수명예측이 정확하게 이루어질 날이 올 것을 기대한다.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1329-1346
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• 2016

Korea Health Panel (KHP) data and Korea National Health and Nutrition Examination Survey (KNHANES) data are collected by self-assess and self-report for individual's health status and medical use. Previous studies have claimed that the reliability for prevalence rates and health life expectancies obtained from these data should be validated. National Health Insurance Services in Korea recently released a sample cohort DB that contain all data related to the use of medical facilities for all entire Korea citizens. It has been shown that disease-specific prevalence rates calculated from these data are representative and reliable for the entire population. In this paper, we evaluate the reliability of prevalence rates derived from self-reported data such as KHP and KNHANES by comparing to the prevalence rates from the sample cohort DB. We found that both KHP and KNHANES underestimate prevalence rates and in turn overestimate health life expectancies. Moreover, the general trends of health life expectancies might be distorted (except for the sample cohort DB) because of sampling and non-sampling errors.