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영상을 적용한 인공지능을 이용한 Robot Arm Placing 기술 개발
백영진(Young-Jin Baek),김원하(Wonha Kim) 한국방송·미디어공학회 2020 한국방송공학회 학술발표대회 논문집 Vol.2020 No.7
최근 딥 러닝을 이용해 기계로 인간을 대체하는 스마트 팩토리에 대한 연구 및 개발이 활발히 진행되고 있다. 그러나 FPCB를 Placing하는 방법에 기계를 도입하는 과정은 발전이 더딘 상태이다. 현재 로봇 팔을 이용해 Placing하는 방법은 사람이 직접 로봇 팔을 튜닝해 사용하고 있다. 이에 본 논문은 딥 러닝을 이용한 영상처리 기법을 활용해 FPCB를 사람의 개입 없이 트레이에 삽입하는 기법을 개발하였다. 이를 위해 여러 알고리즘을 비교한 후 각각의 장단점을 고려해 적합한 알고리즘을 제시하였다. 본 논문에서 제시하는 기법은 FPCB에 아무 행동을 가하지 않으며, 힘 센서, 깊이 센서 등 기타 센서들의 도움 없이 RGB 센서(카메라)를 통해 획득한 이미지만을 이용해 자동화가 가능하다. 또한, 개발 단계에서 실제 기계를 이용해 이미지 촬영, 이동 등을 진행했기 때문에 조명, 로봇 팔 위치 등 알고리즘 외 조건들에 영향을 받지 않고 실제 사용이 가능하다.
백영진,허철성,임광세 한국낙농학회 1990 韓國酪農學會誌 Vol.12 No.2
본 연구는 bifidobacteria를 이용한 발효유제품 생산에 필요한 기초적인 배양기술과 배양조건을 얻기 위하여 Bifidobacterium bifidum HY-8108을 사용하여 우유에서의 B. bifidum의 성장과 발효실험을 수행하였으며 그 결과를 요약하면 다음과 같다. 1. 12% 환원 탈지유에 yeat extract와 BIOS 2000을 함께 첨가한 실험구가 가장 우수한 결과를 나타냈다. 2. 12% 환원 탈지유에 B. bifidum HY-8108와 L. acidophilus HY-7001을 혼합배양한 결과 생균수나 산생성속도가 B. bifidum을 단독배양한 결과보다 우수하게 나타나 이들 균주간에 symbiosis현상이 있음을 확인할 수 있었다. 3. B. bifidum HY-8108을 단독배양한 각 실험구의 24시간 배양액을 4℃에서 냉장보관하면서 12일까지 생균수, pH 및 적정산도를 측정한 결과 yeast extract와 BIOS 2000을 함께 첨가한 실험구가 대조구나 다른 실험구보다 사멸이 지연되었으며, pH나 적정산도는 거의 변화가 없었다. This study was carred out to establish techniques and conditions of cultivation of bifidobacteria in milk by using the Bifidobacterium bifidum HY-8108 for the manufacture of fermented milk products. The results obtained are summarized as follows; 1. 12% (wt/v) reconstituted skim milk was supplemented with yeast extract (1.25%, wt/v), BIOS 2000 (1.25%, wt/v) and yeast extract (0.25%, wt/v) + BIOS 2000 (1%, wt/v), respectively, to obtained enhanced growth of B. bifidum HY-8108. The mixed addition of yeast extract (0.25%) and BIOS 2000 (1%) to skim milk was most effective on the growth and acid production of B. bifidum HY-8108. 2. 1t was suggested that there be a symbiosis between B. bifidum HY-8108 and L. acidophilus HY-7001 resulted from their higher viable cell numbers and acid production. 3. The comparisons of viable cell numbers, pH and titratable acidity were examined during the storage at 4℃ for 12 days. The culture of B. bifidum HY-8108 cultivated with yeast extract (0.25%, wt/v) and BIOS 2000 (1%, wt/v) was stable in comparison with control and other treatments. And there was no post-acidification.
세계 최초 축류형 초임계 이산화탄소 터빈 발전기 예비 실험
백영진(Young-Jin BAIK),조준현(Junhyun CHO),신형기(Hyung-Ki SHIN),조종재(Jongjae CHO),노철우(Chul Woo ROH),이길봉(Gilbong LEE),이범준(Beomjoon LEE),나호상(Ho-Sang RA) 대한기계학회 2017 대한기계학회 춘추학술대회 Vol.2017 No.11
Although there has been no commercialization of supercritical carbon dioxide (S-CO2) power generation technology globally, lots of efforts are underway because of its potential enhancement in compactness and efficiency. Korea Institute of Energy Research (KIER) has been developing three S-CO2 turbines and two test loops, since 2013. KIER recently built and tested an axial S-CO2 turbine generator, which is the world`s first attempt as an axial type in the area of S-CO2 technology. S-CO2 turbines are characterized by miniaturization and high-speed rotation due to its high density. These increase the degree of technical difficulty significantly in the management of axial force and windage loss which are generated by the rotor and cause mechanical loss or damage of rotating parts in the turbine. In contrast to previous studies, KIER designed the turbine as an axial impulse type to reduce the axial force and introduced a mechanical seal and leakage management system to reduce windage loss. Initial test results showed that the turbine can be operated at the inlet conditions of 205℃/100 bar. The maximum power output of 11 kWe was obtained.
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.