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유산균 이용식품:미생물을 이용한 건강식품의 개발현황과 전망
백영진 한국미생물학회 1993 微生物과 産業 Vol.19 No.3
현재 유산균은 요구르트, 치즈, 케피어(kefir), 에시도필러스 밀크(acidophilus milk), 비피더스 밀크(bifidus milk), 쿠미스(kumiss), 발효버터(fermented butter), 유산균음료, 빵 등 식품의 천연 방부제, 채소절임, 발효두유(fermented soy milk), 정장제, 구강염증치료제, 사료 첨가제 등등 다양하게 이용되고 있다. 이것은 유산균에 대한 동결건조, 유전자 조작 등 첨단기술이 산업화로 연결되면서 그 이용성이 더욱 확장되고 있다. 유산균을 이용한 건강보조식품도 최근 몇년 사이에 선을 보이고 있지만 아직은 초보적인 단계이며 현재로선 유산균 발효식품과 유산균제제(의약품) 사이에서 뚜렷한 자기자리를 찾지 못하고 있는 실정이다.
백영진(Young-Jin Baik),김민성(Minsung Kim),장기창(Ki-Chang Chang),윤형기(Hyung-Kee Yoon),이영수(Young-Soo Lee),나호상(Ho-Sang Ra) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.5
In this study, an absorption power cycle was investigated and optimized by simulation method. An absorption power cycle can be used for the utilization of a low-temperature heat sources such as geothermal and industrial waste heat that are not hot enough to produce steam. The sea/river water can be considered as a cooling media. A steady-state simulation model was developed to analyze and optimize its performance. The model contains a turbine, a pump, an expansion valve and heat exchangers. The turbine and pump were modelled by an isentropic efficiency. The effect of the ammonia fraction at the separator inlet and the maximum cycle pressure on the cycle performance is investigated in detail.
TRNSYS 를 이용한 해수열원 히트펌프의 연간 난방성능 모사
백영진(Young-Jin Baik),이승호(Seung Ho Lee),김민성(Minsung Kim),이영수(Young-Soo Lee),장기창(Ki-Chang Chand),나호상(Ho-Sang Ra) 대한기계학회 2012 대한기계학회 춘추학술대회 Vol.2012 No.11
In this study, an annual heating performance of a seawater-source heat pump, assumed installed in Gangneung city near the East Sea in Korea, was simulated. An annual heating load for a typical Korean-style apartment house, which has an effective area of about 85 ㎡, was modeled by using TRNSYS program. The seawater temperature was calculated from the regression equation based on the measurement. A heat pump performance at full-load was calculated from the regression equation, which involves refrigerant’s evaporating and condensing temperatures, based on a commercial compressor performance map. A part-load performance was also considered. Simulation results show that an annual heating coefficient of performance (COP<SUB>H</SUB>) of a seawater-source heat pump is approximately 3.3 and that it is necessary to improve part-load performance to increase an annual performance of the heat pump.
칼리나 사이클을 이용한 저온도차 발전 시스템의 시뮬레이션
백영진(Young-Jin Baik),김민성(Minsung Kim),김지영(Ji-Young Kim),장기창(Ki-Chang Chang),이영수(Young-Soo Lee),박성룡(Seong-Ryong Park),나호상(Ho-Sang Ra) 대한기계학회 2008 대한기계학회 춘추학술대회 Vol.2008 No.5
In this study, a low-grade heat source power generation system using the Kalina cycle was investigated by the simulation method. The Kalina cycle system can be used for the utilization of a low-temperature heat sources such as geothermal and industrial waste heat that are not hot enough to produce steam. The sea/river water can be considered as a cooling media. A steady-state simulation model was developed to analyze and optimize its performance. The model contains a turbine, a pump, an expansion valve and heat exchangers. The turbine and pump were modelled by an isentropic efficiency, while a condenser, an evaporator and a regenerative heat exchanger were modeled by UA-LMTD method with a counter-flow assumption. The effect of the temperature glide in the evaporator on the cycle performance is investigated in detail.
광학 흐름과 극좌표 변환을 이용한 로봇 팔 Placing 기법
백영진(Young-Jin Baek),이재은(Jae-Eun Lee),김원하(Won-Ha Kim) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
There has been active research and development on smart factory, which utilizes the deep learning technology to replace human workforce. However, concept of employing machines to place FPCB is not as advanced. At present, people need to tune robot arms by themselves to use them to place FPCB. To solve this issue, We have developed a new technique to insert FPCB into tray without human assistance. To do this, we have compared and contrasted several algorithms, and chose among them the most suitable one for the technique, considering their pros and cons. The technique suggested in the paper is based on image processing technique which utilizes the deep learning technology. It doesn"t alter FPCB in any ways. It can also be automated only with images attained through RGB sensor(camera), without help from other sensors such as power sensor or depth sensor. Furthermore, real machine was used for image capturing or movement in the development process. Therefore, it can be put to practical use unaffected by conditions other than algorithm, such as light or position of the robot arm.