고밀도 산소 플라즈마를 이용한 감광제 제거공정에 관한 연구

정형섭,이종근,박세근,양재균,Jung, Hyoung-Sup,Lee, Jong-Geun,Park, Se-Geun,Yang, Jae-Kyun 한국전기전자재료학회 1998 전기전자재료학회논문지 Vol.11 No.2

A helical inductively coupled plasma asher, which produces low energy and high density plasma, has been built and investigated for photoresist stripping process. Oxygen ion density in the order of $10^{11}/cm^3$ is measured by Langmuir probe, and higher oxygen radical density is observed by Optical Emission Spectrometer. As RF source power is increased, the plasma density and thus photoresist stripping rate are increased. Independent RF bias power to the wafer stage provides a dc bias to the wafer and an ability to add the ion assisted reaction. At 1 KW of the source power, the coupling mechanism of the RF power to the plasma is changed from the inductive mode to the capacitive one at about 1 Torr. This change causes the plasma density and ashing rate decreases abruptly. The critical pressure of the mode change becomes larger with larger RF power.

출입관리 시스템에 효과적인 지문영상의 이진화

정형섭(Jung haing-sub),임강모(Lim kang-mo),조남형(Cho nam-hyung),이주신(Lee joo-shin) 한국통신학회 2002 한국통신학회 학술대회논문집 Vol.2002 No.7

SPOT 4 영상의 기하보정을 위한 시선 벡터 조정 모델

정형섭(Jung, Hyung-Sup) 한국측량학회 2010 한국측량학회지 Vol.28 No.2

차분 간섭도로부터 지표변위의 시계열 관측을 위한 개선된 Small Baseline Subset (SBAS) 알고리즘

정형섭 ( Hyung Sup Jung ),이창욱 ( Chang Wook Lee ),박정원 ( Jung Won Park ),김기동 ( Ki Dong Kim ),원중선 ( Joong Sun Won ) 大韓遠隔探査學會 2008 大韓遠隔探査學會誌 Vol.24 No.2

최근 spatial decorrelation을 극복하기 위하여 비교적 짧은 기선(baseline)을 지니는 여러 시기의 차분간섭도(differential interferogram)로부터 시계열 지표변위(time-series surface deformation)를 관측할 수 있는 small baseline subset(SBAS) 알고리즘이 개발되었다. 이 SBAS 알고리즘은 singluar value decomposition(SVD)을 이용하여 시간별로 완벽하게 연결되지 않는 차분간섭도로부터 시계열 지표변위를 관측하였을 뿐 아니라 공간적으로 저주파 필터와 시간적으로 고주파 필터를 이용하여 대기효과를 보정하였다. 그러나 이 알고리즘은 초기 관측시 시계열 지표변위를 선형으로 가정하였기 때문에 각 차분간섭도의 phase unwrapping 오차를 정확하게 보정하기 어려웠을 뿐 아니라 시계열의 지표변위에 존재하는 노이즈 성분을 완화시키지 못했다. 이와 같은 단점을 보완하기 위하여 이 연구에서는 기존의 SBAS 알고리즘을 개선하였다. 이 개선된 SBAS 알고리즘은 각 차분간섭도의 phase unwrapping 오차를 최소화하기 위하여 반복적으로 시계열 지표면 변위를 개선하였고, 시계열 지표변위의 노이즈를 제거하기 위하여 유한차분 근사법(finite difference approximation)을 이용하였다. 서로 다른 지역의 26개의 ERS-1/2자료와 21개의 RADARSAT-1 fine beam (F5) 자료를 이용하여 개선된 SBAS 알고리즘을 실험하고 분석하였다. ERS-1/2자료에서는 LOS(line-of-sight) 지표변위가 약 13년 동안 최대 -40cm가 관측되었고, RADARSAT-1 fine beam 자료에서는 약 2년 동안 최대 -3cm의 LOS 지표변위가 관측되었다. Small baseline subset (SBAS) algorithm has been recently developed using an appropriate combination of differential interferograms, which are characterized by a small baseline in order to minimize the spatial decorrelation. This algorithm uses the singular value decomposition (SVD) to measure the time-series surface deformation from the differential interferograms which are not temporally connected. And it mitigates the atmospheric effect in the time-series surface deformation by using spatially low-pass and temporally high-pass filter. Nevertheless, it is not easy to correct the phase unwrapping error of each interferogram and to mitigate the time-varying noise component of the surface deformation from this algorithm due to the assumption of the linear surface deformation in the beginning of the observation. In this paper, we present an improved SBAS technique to complement these problems. Our improved SBAS algorithm uses an iterative approach to minimize the phase unwrapping error of each differential interferogram. This algorithm also uses finite difference method to suppress the time-varying noise component of the surface deformation. We tested our improved SBAS algorithm and evaluated its performance using 26 images of ERS-1/2 data and 21 images of RADARSAT-1 fine beam (F5) data at each different locations. Maximum deformation amount of 40cm in the radar line of sight (LOS) was estimated from ERS-1/2 datasets during about 13 years, whereas 3cm deformation was estimated from RADARSAT-1 ones during about two years.

항공 LiDAR 데이터를 이용한 건물추출과 상부구조물 특성분석 및 모델링

정형섭(Jung, Hyung Sup),임새봄(Lim, Sae Bom),이동천(Lee, Dong Cheon) 한국측량학회 2008 한국측량학회지 Vol.26 No.3

수리모형실험을 통한 Core-Loc Toe Berm 개선

정형섭(Jung, Hungsup),김진호(Kim, Jinho),김덕래(Kim, Deokrae) 대한토목학회 2021 대한토목학회 학술대회 Vol.2021 No.10

착유우의 톱밥발효우사 이용연구 제 1 보 : 낙농가의 톱밥발효우사 형태별 이용효과 비교

권두중,권응기,기광석,이기종,한정대,정석찬,강승원,강상열,정형섭,장학주,Kweon, Du-Jung,Kweon, Ung-Gi,Ki, Wang-Seok,Lee, Kee-Jong,Han, Jeong-Dae,Jung, Suk-Chan,Kang, Seung-Won,Kang, Sang-Lyol,Jung, Hyoung-Sup,Chang, Hak-Joo 한국축산환경학회 1995 축산시설환경학회지 Vol.1 No.1

This study was carried out to investigate the effect of sawdust bedding barn on manure handing, management labour and physiological aspect of dairy cows, and then to establish the criteria on the optimum utilization method of sawdust bedding barn. 46 tie stall barns and 49 sawdust bedding barns were surveyed to cmopare the milk productivity between two different barns, and also 5 tie stall barns, 15 sawdust bedding barns and 1 rice hull bedding barn were selected to study the utilization situation of sawdust barn in Kyung-Ki province area. The major results obtained were as follows; 1. The roof material of sawdust barn were consisted of 66% vinyl house, 23% PVC light and 11% slate and galvanum coated tin. Most of the floor structure was earth ground with the rate of the approximately 82%. 2. The average occupied area of sawdust bed per cow was 15.2 $m^2$, depth that 30 cm and the utilization period was 12 months. 3. Milk Yield was significantly higher at sawdust barn than at tie stall barn(P<0.01). Bacterial and somatic cell count in raw milk were less at the sawdust barn than in tie stall barn. However, there was not significance difference between two barns. 4. The labour hour needed to cow management in the sawdust barn was approximately 48% of that of tie stall barn. 5. The temperature and moisture content measured in sawdust bed were closely affected by seasonal ambient temperature. The skin and hair of cow were much cleaner at the PVC light roofed sawdust barn than any other roof materials. 6. The additives used for improving of fermentation did not show any effect on temperature and moisture content in sawdust bed. When the ambient temperature was $30.4^{\circ}C$, the surface temperature of measured 1 cm above the sawdust bed was $12.2^{\circ}C$ lower and the temperature of 100 cm above the sawdust bed was $2.4^{\circ}C lower under shading net facility than that of vinyl roofed one.7. The hoof length of miking cow was 7.95 cm in tie stall and 9.19 cm in sawdust barn with high significance (P<0.01). And disease occurence such as mastitis and foot-rot tended to decrease in the sawdust barn. 8. The number of total bacteria and coliform bacteria were less in the sawdust bed compared with earth ground resting area. And a parasite strongyloides papillosus was detected but without any infected cow. 9. The nitrate($NO_3N$) content in non-roofed earth ground resting area and earth ground under the sawdust bed was likely to pollute the ground water. 10. In economic point of view, rice hull bedding barn was the cheapest among different systems. And in the sawdust bedding barn PVC light + slate roofed barn was most desirable, and vinyl roofed one the least.

딥러닝 기반 레이더 간섭 위상 언래핑 기술 고찰

백원경,정형섭,Baek, Won-Kyung,Jung, Hyung-Sup 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6

위상 언래핑은 위성레이더 간섭기법의 필수적인 자료처리 절차다. 이에 따라 비 딥러닝 기반 언래핑 기법이 다수 개발되었으며 최근에는 딥러닝 기반 언래핑 기법이 제안되고 있다. 본 논문에서는 딥러닝 기반 위성레이더 언래핑 기법을 1) 언래핑된 위상의 예측 방법, 2) 위상 언래핑을 위한 딥러닝 모델의 구조 그리고 3) 학습데이터 제작 방법의 측면에서 최근 연구 동향을 소개하였다. 언래핑된 위상을 예측하는 방법은 모호 정수 분류방법, 위상 단절 구간 탐지 방법, 위상 예측 방법, 딥러닝과 전통적인 언래핑 기법의 연계 방법에 따라 다시 세분화하여 연구 동향을 나타냈다. 일반적으로 활용되는 딥러닝 모델 구조의 특징과 전체 위상 정보를 파악하기 위한 모델 최적화 방법에 대한 연구 사례를 소개하였다. 또한 학습데이터 제작 방법은 주로 위상 변이 제작과 노이즈 시뮬레이션 방법으로 구분하여 연구 동향을 정리하였으며 추후 발전 방향을 제시하였다. 본 논문이 추후 국내의 딥러닝 기반 위상 언래핑 연구의 발전 방향을 모색하는 데에 필요한 기반 자료로 활용되기를 기대한다.

항공정사영상의 상대적인 지상좌표 위치오차에 따른 색상보정

박숭환,정형섭,정경식,김경휘,Park, Sung-Hwan,Jung, Hyung-Sup,Jung, Kyungsik,Kim, Kyong-Hwi 대한원격탐사학회 2017 大韓遠隔探査學會誌 Vol.33 No.5

본 연구는 동일 촬영시기 정사영상에 대한 색상보정을 효과적으로 수행하기 위하여 실시되었다. 이를 위하여, 인접 영상 간 상대적인 지상좌표 위치오차를 분석하였다. 위치오차를 저감시키기 위한 방법으로 block sum 방법을 제시하였다. 각각 block sum 크기에 따라 결정된 회귀계수를 이용하여 상대색상보정을 수행하였다. 그 결과 시각적으로 상대색상보정이 잘 수행되었음을 확인하였다. 정량적인 분석은 히스토그램 유사성 분석을 통해 수행되었다. 이로부터 block sum 방법이 상대색상보정에 유용함이 증명되었다. 특히 상대적인 지상좌표 위치오차의 양에 따라 block sum 크기의 선정이 매우 중요한 것으로 나타났다. 위치오차가 클수록 높은 크기에서의 block sum 적용이 유용한 것으로 확인되었다. This study was carried out to effectively perform relative color correction for high-resolution aerial ortho image. For this study, relative geometrical error between adjacent images was analyzed. The block sum method is proposed to reduce the relative geometrical error. We used the regression coefficients determined based on the block sum size to perform the color correction. As a result, it was confirmed that the relative color correction was visually performed well. Quantitative analysis was performed through histogram similarity analysis. It is proved that block sum method is useful for relative color correction. Particularly, the block sum size was very important to correct color based on the amount of relative geometrical error.

고해상도 원격탐사 영상을 이용한 YOLOv5기반 굴뚝 탐지

윤영웅,정형섭,이원진,Yoon, Young-Woong,Jung, Hyung-Sup,Lee, Won-Jin 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6

Air pollution is social issue that has long-term and short-term harmful effect on the health of animals, plants, and environments. Chimneys are the primary source of air pollutants that pollute the atmosphere, so their location and type must be detected and monitored. Power plants and industrial complexes where chimneys emit air pollutants, are much less accessible and have a large site, making direct monitoring cost-inefficient and time-inefficient. As a result, research on detecting chimneys using remote sensing data has recently been conducted. In this study, YOLOv5-based chimney detection model was generated using BUAA-FFPP60 open dataset create for power plants in Hebei Province, Tianjin, and Beijing, China. To improve the detection model's performance, data split and data augmentation techniques were used, and a training strategy was developed for optimal model generation. The model's performance was confirmed using various indicators such as precision and recall, and the model's performance was finally evaluated by comparing it to existing studies using the same dataset.