http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
마이크로버블 오존 산화제와 공압파쇄 장치를 연계 적용한 지중 화학적 산화법의 정화효율 평가
오승택,오참뜻,김국진,석소희,김철경,임진환,유재봉,장윤영,Oh, Seung-Taek,Oh, Cham-Teut,Kim, Guk-Jin,Seok, So-Hee,Kim, Chul-Kyung,Lim, Jin-Hwan,Ryu, Jae-Bong,Chang, Yoon-Young 한국지하수토양환경학회 2012 지하수토양환경 Vol.17 No.4
A new type of chemical oxidation technology utilizing micro bubble ozone oxidizer and a pneumatic fracturing equipment was developed to enhance field applicability of a traditional chemical oxidation technology using hydrogen peroxide as an oxidizer for in-situ soil remediation. To find an efficient way to dissolve gaseous ozone into hydrogen peroxide, ozone was injected into water as micro bubble form then dissolved ozone concentration and its duration time were measured compared to those of simple aeration of gaseous ozone. As a result, dissolved ozone concentration in water increased by 31% (1.6 ppm ${\rightarrow}$ 2.1 ppm) and elapsed time for which maximum ozone concentration decreased by half lengthened from 9 min to 33 min. When the developed pneumatic fracturing technology was applied in sandy loam, cracks were developed and grown in soil for 5~30 seconds so that the radius of influence got longer by 71% from 392 cm to 671 cm. The remediation system using the micro bubble ozone oxidizer and the pneumatic fracturing equipment for field application was made and demonstrated its remediation efficiency at petroleum contaminated site. The system showed enhanced remediation capacity than the traditional chemical oxidation technology using hydrogen peroxide with reduced remediation time by about 33%.
p-Snake의 성능 향상을 위한 적응 원형 생성 기법
오승택(Oh, Seung-Teak),전병환(Jun, Byung-Hwan) 한국산학기술학회 2015 한국산학기술학회논문지 Vol.16 No.4
p-Snake는 기존의 동적윤곽모델(Active Contour Model)에 원형에너지를 추가로 적용한 에너지 최소화 알고리즘으로 에지 정보가 명확하지 않은 영역에서의 윤곽선 추출을 위해 사용된 방법이다. 본 논문에서는 원과 직선 프리미티브(primitive) 의 조합으로 표현되는 가변 원형(prototype)과 퍼지 함수를 적용한 원형에너지장의 생성 기법을 제안하여 p-Snake의 윤곽선 추출 성능을 개선하였다. 제안 방법은 입력된 부품 코드를 기반으로 원형을 정의하고 전처리 과정을 통해 구해진 각 프리미 티브 구간에서 대략적인 초기 윤곽을 검출한 후, 프리미티브들이 가변적으로 적응하여 원형을 생성하고 여기에 원형과의 거리에 따른 윤곽 확률을 퍼지 함수를 통해 계산하여 원형에너지 장을 생성하였다. 이를 p-Snake에 적용하여 다양한 소형 부품들을 대상으로 준비한 200장의 영상에서 윤곽선을 검출하고, 원형과의 유사도를 비교한 결과 적응 원형을 사용한 p-Snake가 기존의 Snake에 비해 약 4.6% 가량 우수함을 보였다. p-Snake is an energy minimizing algorithm that applies an additional prototype energy to the existing Active Contour Model and is used to extract the contour line in the area where the edge information is unclear. In this paper suggested the creation of a prototype energy field that applies a variable prototype expressed as a combination of circle and straight line primitives, and a fudge function, to improve p-Snake’s contour extraction performance. The prototype was defined based on the parts codes entered and the appropriate initial contour was extracted in each primitive zones acquired from the pre-processing process. Then, the primitives variably adjusted to create the prototype and the contour probability based on the distance to the prototype was calculated through the fuzzy function to create the prototype energy field. This was applied to p-Snake to extract the contour from 100 images acquired from various small parts and compared its similarity with the prototype to find that p-Snake made with the adaptive prototype was about 4.6% more precise than the existing Snake method.