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GLOBAL REPORT IEC TC 59/SC 59F/WG 5 회의 참관기 - 청소로봇, 국제표준화 출발선상에 서다 -2011년 6월 중국 Suzhou에서 3일간 열려
임성수,Im, Seong-Su 기술표준원 2011 기술표준 Vol.115 No.-
지능형 로봇의 파일로 상품인 청소로봇은 이미 시장 진입단계로 접어들었다. 특히 청소로봇에 대한 성능평가 국제표준은 한국의 국가표준을 기초로 2012년 표준 제정 작업이 진행되고 있다. WG 5 회의에 IEC SC 59F/ WG 5 컨비너 자격으로 참가했던 지능형로봇 표준포럼 성능/안전성 분과위원장인 임성수 경희대학교 교수의 참관기를 싣는다.
프로바이오틱 유산균 발효조건 탐색을 위한 다반응 최적화의 활용
임성수 한국낙농식품응용생물학회 2023 Journal of Dairy Science and Biotechnology (JMSB) Vol.41 No.2
This review serves two purposes: first, to promote the use of improved optimization tech- niques in response surface methodology (RSM); and second, to enhance the optimum conditions for the fermentation of probiotics. According to research in dairy science, Lactiplantibacillus plantarum K79 is a candidate probiotic that has beneficial health effects, such as lowering blood pressure. The optimum conditions for L. plantarum K79 to produce peptides with angiotensin-converting enzyme (ACE) inhibitory activity were proposed, through modeling each of ACE inhibitory activity and pH as a function of the four factors that are skim milk concentration (%), incubation temperature (°C), incubation time (hours), and starter added amount (%). To estimate optimum conditions, the researchers employed a desirability-based multi-response optimization approach, utilizing third-order models with a nonsignificant lack of fit. The estimated optimum fermentation conditions for L. plantarum K79 were as follows: a skim milk concentration of 10.76%, an incubation temperature of 36.9°C, an incubation time of 23.76 hours, and a starter added amount of 0.098%. Under these conditions, the predicted ACE inhibitory activity was 91.047%, and the predicted pH was 4.6. These predicted values achieved the objectives of the multi-response optimization in this study.
임성수 서울대학교 규장각한국학연구원 2017 한국문화 Vol.78 No.-
Stable taxation management was of the utmost importance because the revenue of the ministry of taxationwas absolutely dependent on the land tax. Land, however, was the most important means of production for the farmers to maintain their household and livelihood. Therefore, the government had to provide the farmer's reproduction base, but had to be taxed at an appropriate level to secure necessary revenues. When it comes to the Gupje(給災), it was the government's land management system that gave tax-free benefits to disaster-affected land.After operated the Bichong regulations, the Gupje became the most important variable in determining the size of the tax grain. The Samokje(事目災) that provided from the ministry of taxationbecame the Bichong regulation’s main source of income, and supported by the Gachungje(加請災) became a basic operating system. Although this kind of operating method was maintained at the beginning, soon the ratio of the two reversed, and operation of Gachongje that handled by Gamsa became main system.Since the 19th century, the gap between Samokje and Gachungje has increased, and finally the unit of Samokje fixed 100gyeol, 200gyeol and became formally. The overall scale of the Gupje has shown a gradual decline since the nineteenth century, but it has fallen sharply in the latter half of the 19th century and has risen again.It is easy to imagine that this decline would have led to a pre-emptive rise in farmers; however, the tax-paying land was also declining.
Alstroemeria plants and its biotechnological applications
임성수,Sang-Il Lee,강세찬,김종보 한국식물생명공학회 2012 식물생명공학회지 Vol.39 No.4
Alstroemeria plants are widely cultivated in many countries especially in Western Europe and North America and popularity has increased in recently due to its long-base life, large variety of colors and low energy requirement during cultivation period. So far, more than 60 species have been released on the commercial market in the world. To meet the demand of consumer and develop the elite Alstroemeria cultivars, conventional breeding including cross-hybridization and selection as well as mutation breeding were used. However, as other important ornamental plants such as lily, rose, carnation and orchids accepted the biotechnological methods, this newly-born approach should be applied and developed an optimized the genetic transformation system. Then, this biotechnological approach can be fused with the conventional breeding methods and thus can be contributed to the production of elite Alstroemeria plants containing agriculturally good genetic traits which are useful for the both farmers and consumers in the future. In this paper, we reviewed the botanical and genetical features of Alstroemeria plants and its biotechnological approaches in the last decades.
토사유출량의 공간분포 산정결과 평가를 위한 RUSLE와 LISEM의 비교
임성수,김민석,김중훈,백경록 한국방재학회 2012 한국방재학회논문집 Vol.12 No.5
Various models have been developed for the estimation of spatial distribution of sediment yield. However, they often generate distinct results because of differences in their development purposes and calculation processes. Therefore, it is challenging to verify the simulation result without ground measurements of spatially varying sediment fluxes. Here, we postulate that applying multiple models to a same watershed and checking whether they provide similar spatial distributions can be an indirect method of evaluating the performance of the models. To test this idea, we apply two models of LISEM and GIS-based RUSLE for a small watershed in Gyeonggi-do, South Korea, where actual sediment yield was measured at the outlet. Two models result in similar spatial patterns in the distribution of sediments yield. LISEM results show more evenly distributed sediment yield. This difference is partly due to the difference in model structures and due to the ranges of parameters chosen between the two models. Compared to RUSLE, there are limited references for model parameter values of LISEM in Korean practices. Helped by physically-based model structure, LISEM is expected to simulate sediment yield in a more reasonable manner, compared to RUSLE, once the appropriate ranges of model parameters are suggested in the future. 토사유출량의 공간분포를 추정하기 위해 다양한 모형이 개발됐으나, 모형의 개발목적과 연산과정에 따라 서로 다른 결과를 줄수 있다. 토사유출의 공간분포를 실측한 자료가 부족한 상황에서 이렇게 차이 나는 모의결과를 검증하는 것은 쉬운 일이 아니다. 본 연구에서는 두 가지 이상의 모형의 결과가 같은 유역에서 비슷한 공간분포를 보여준다면 어느 정도 결과를 신뢰할 수있을 것이라는 가설을 세우고 LISEM과 GIS 기반의 RUSLE를 경기도의 한 소유역에 적용하였다. 모의결과 두 모형은 대체로유사한 토사발생량의 공간분포를 산정하는 것으로 나타났다. 단, LISEM이 RUSLE보다 고르게 분포된 결과를 보여주고 있는데,이는 두 모형의 구조적 차이와 입력인자 범위에서 기인하는 것으로 판단된다. LISEM은 본 연구를 통해 처음으로 국내에 적용되는 만큼 앞으로 다양한 연구를 통해 국내 현실에 맞는 입력자료의 범위가 제시된다면 RUSLE보다 물리적인 기반에서 토사유출을 모의할 수 있을 것임을 확인했다.