UAS, CRP 및 지상 LiDAR 융합기반 와형석조여래불의 3차원 재현과 고증 연구

오성종,이용창,Oh, Seong-Jong,Lee, Yong-Chang 한국국토정보공사 공간정보연구원 2021 지적과 국토정보 Vol.51 No.1

Recently, Interest in the restoration and 3D reconstruction of cultural properties due to the fire of Notre Dame Cathedral on April 15, 2019 has been focused once again after the 2008 Sungnyemun fire incident in South Korea. In particular, research to restore and reconstruct the actual measurement of cultural properties using LiDAR(Light Detection and ranging) and conventional surveying, which were previously used, using various 3D reconstruction technologies, is being actively conducted. This study acquires data using unmanned aerial imagery of UAV(Unmanned Aerial Vehicle), which has recently established itself as a core technology in the era of the 4th industrial revolution, and the existing CRP(Closed Range Photogrammetry) and terrestrial LiDAR scanning for the Recumbent Buddha of Unju Temple. Then, the 3D reconstruction was performed with three fusion models based on SfM(Structure-from-Motion), and the reproducibility and accuracy of the models were compared and analyzed. In addition, using the best fusion model among the three models, the relationship with the Polar Star(Polaris) was confirmed based on the real world coordinates of the Recumbent Buddha, which contains the astronomical history of Buddhism in the early 11th century Goryeo Dynasty. Through this study, not only the simple external 3D reconstruction of cultural properties, but also the method of reconstructing the historical evidence according to the type and shape of the cultural properties was sought by confirming the historical evidence of the cultural properties in terms of spatial information. 최근, 2019년 4월 15일에 있었던 노트르담 대성당 화재로 문화재 복원 및 재현에 대해 2008년 숭례문 화재사건 이후 관심이 다시 한 번 집중되고 있다. 특히, 기존에 활용되던 LiDAR 및 광파기 측량 등을 활용한 문화재 실측을 다양한 3차원 재현 기술을 활용하여 복원 및 재현하려는 연구가 활발히 진행되고 있다. 본 연구는 운주사의 와형석조여래불을 대상으로 최근 4차 산업혁명 시대에서 핵심기술로 자리매김한 UAV(Unmanned Aerial Vehicle)의 무인항공영상와 기존에 사진측량에 활용되던 근접영상(CRP) 및 지상 LiDAR 스캐닝을 활용하여 데이터를 획득하고, 이들을 3가지 융합모델로 SfM기반의 3차원 재현을 실시, 모델의 재현도 및 정확도를 비교·분석하였다. 아울러, 3가지의 모델 중 가장 우수한 융합모델을 활용하여 11세기 초 고려시대의 불교 천문학적 고증이 녹아있는 와형석조여래불을 실세계 좌표기반으로 북극성과의 연관성을 확인한다. 본 연구를 통해 문화재의 단순한 외형적인 3차원 재현뿐 아니라 문화재에 담긴 역사적 고증을 확인함으로써 문화재의 종류 및 형태에 따라 고증까지 함께 재현하는 방안을 모색하였다.

Prediction of genomic breeding values of carcass traits using whole genome SNP data in Hanwoo (Korean cattle)

Seung Hwan Lee(이승환),Heong Cheul Kim(김형철),Dajeong Lim(임다정),Chang Gwan Dang(당창권),Yong Min Cho(조용민),Si Dong Kim(김시동),Hak Kyo Lee(이학교),Jun Heon Lee(이준헌),Boh Suk Yang(양보석),Sung Jong Oh(오성종),Seong Koo Hong( 충남대학교 농업과학연구소 2012 농업과학연구 Vol.39 No.3

Genomic breeding value (GEBV) has recently become available in the beef cattle industry. Genomic selection methods are exceptionally valuable for selecting traits, such as marbling, that are difficult to measure until later in life. One method to utilize information from sparse marker panels is the Bayesian model selection method with RJMCMC. The accuracy of prediction varies between a multiple SNP model with RJMCMC (0.47 to 0.73) and a least squares method (0.11 to 0.41) when using SNP information, while the accuracy of prediction increases in the multiple SNP (0.56 to 0.90) and least square methods (0.21 to 0.63) when including a polygenic effect. In the multiple SNP model with RJMCMC model selection method, the accuracy (r²) of GEBV for marbling predicted based only on SNP effects was 0.47, while the r² of GEBV predicted by SNP plus polygenic effect was 0.56. The accuracies of GEBV predicted using only SNP information were 0.62, 0.68 and 0.73 for CWT, EMA and BF, respectively. However, when polygenic effects were included, the accuracies of GEBV were increased to 0.89, 0.90 and 0.89 for CWT, EMA and BF, respectively. Our data demonstrate that SNP information alone is missing genetic variation information that contributes to phenotypes for carcass traits, and that polygenic effects compensate genetic variation that whole genome SNP data do not explain. Overall, the multiple SNP model with the RJMCMC model selection method provides a better prediction of GEBV than does the least squares method (single marker regression).

UAS 기반 열 영상 분석을 위한 GCP 타겟 설계

오성종(Oh, Seong Jong),이용창(Lee, Yong Chang) 한국측량학회 2018 한국측량학회 학술대회자료집 Vol.2018 No.4

최근, UAV(Unmanned Aerial Vehicle)와 첨단 센서를 융합한 UAS(Unmanned Aerial System) 측정기술의 응용이 산업전반에서 활발히 시도되고 있다. 본 연구는 열 영상 카메라를 탑재한 UAS를 활용, 일반적인 사진측량에 사용되는 GCP(Ground Control Point) 타겟과는 차별화된 열 영상 촬영용 GCP 타겟 설계를 위한 7가지 종류의 인공 타겟을 제작하여 온도 측정 및 타겟의 식별도를 비교 · 분석하였다. 연구결과, 열 영상 촬영시 콘크리트 상에선 순수한 알루미늄 타겟의 경우 반사율이 크고 방사율이 낮아 식별도가 우수하여 열 영상용 GCP 타겟으로 가장 적합하다고 판단되었다. 향후, 태양광 발전 유지보수에서 핫스팟(Hot-spot) 위치의 선점, RGB 및 열 영상 기반의 정사영상 모자익(Mosaic) 제작에 그 효용성이 기대된다.

UAV 기반 3-Band NIR 센서에 따른 식생지수 비교·분석

오성종(Oh, Seong Jong),이용창(Lee, Yong Chang) 한국측량학회 2021 한국측량학회 학술대회자료집 Vol.2021 No.11

노지 스마트 팜을 위한 UAV 근적외영상기반 식생지수와 엽록소 실측 데이터 시계열 비교

오성종(Oh, Seong Jong),강준오(Kang, Joon Oh),이용창(Lee, Yong Chang) 대한공간정보학회 2022 대한공간정보학회지 Vol.30 No.1

최근, 융복합 센서기반의 스마트 영농 요소기술을 활용하여 국내 농업문제 즉, 노동인구 감소 및 고령화 등 당면한 문제를 극복하기 위한 스마트 팜 연구가 활발히 진행되고 있다. 특히, 다양한 응용분야에서 그 효용성이 입증되고 있는 무인항공기(unmanned aerial vehicle, UAV)의 스마트 센서 기술을 노지 식생 모니터링에 적용한 사례가 다수 발표되고 있다. 본 연구는 국가 주 식량인 벼의 농지를 대상으로 UAV를 활용하여 근적외 영상을 획득, 엽록소와 관련된 정보를 추정할 수 있는 식생지수를 저가형 3-band 영상센서에 종속하여 산출한다. 또한, 질소시비 검토를 위한 SPAD(soil plant analysis development) 엽록소 농도 표본측정값과 근적외 영상기반 식생지수 간의 시계열 비교 분석을 통해 노지 스마트 팜을 위한 UAV의 효용성을 검토하는 것이다. 연구 결과, UAV 근적외영상 기반 식생지수 중, CVI 지수가 직접적인 표본조사를 통해 실측한 SPAD에 가장 유사한 분포경향을 나타내었다. 이를 통해, 식생지수 비교 분석으로 질소시비 검토가 가능하여 벼 농지의 스마트 팜을 위한 식생 모니터링에 UAV의 효용성이 기대된다. Recently, smart farm research has been actively conducted to overcome problems facing domestic agricultural problems, such as a decrease in the working population and aging population, by utilizing smart farming element technology based on convergence sensors. In particular, a number of cases have been announced in which smart sensor technology of UAV(unmanned aerial vehicles), which is currently proven to be effective in various applications, is applied to outdoors vegetation monitoring. This study calculates the vegetation indices, which can estimate chlorophyll-related information by acquiring near-infrared images using UAV for farmland of rice, the national main food, depending on the low-cost 3-band image sensor. In addition, it is to examine the effectiveness of UAV application for field smart farms through time series comparison analysis between SPAD(Soil Plant Analysis Development) chlorophyll concentration sample measurement values and near-infrared image-based vegetation indices to review the nitrogen fertilization. As a result of the study, among the UAV near-infrared imaging-based vegetation indices, the CVI showed the most similar distribution tendency to SPAD measured through direct sample surveys. Through this, it is possible to review whether nitrogen fertilization are necessary through vegetation index analysis, and the effectiveness of UAV is expected for vegetation monitoring for smart farms in rice farmland.

정밀 농업을 위한 공개영상해석툴기반 식생지수 해석

오성종(Oh, Seong Jong),김치훈(Kim, Chi Hoon),이용창(Lee, Yong Chang) 한국측량학회 2019 한국측량학회 학술대회자료집 Vol.2019 No.4

드론 영상기반 잔디밭 내 클로버의 퇴치 범위에 대한 시계열 분석

이용창(Lee, Yong Chang),강준오(Kang, Joon Oh),오성종(Oh, Seong Jong) 한국측량학회 2021 한국측량학회지 Vol.39 No.4

UAS 및 지상 LiDAR 융합기반 건축물의 3D 재현

한승희,강준오,오성종,이용창,Han, Seung-Hee,Kang, Joon-Oh,Oh, Seong-Jong,Lee, Yong-Chang 인천대학교 도시과학연구원 2018 도시과학 Vol.7 No.2

Digital Twin is a technology that creates a photocopy of real-world objects on a computer and analyzes the past and present operational status by fusing the structure, context, and operation of various physical systems with property information, and predicts the future society's countermeasures. In particular, 3D rendering technology (UAS, LiDAR, GNSS, etc.) is a core technology in digital twin. so, the research and application are actively performed in the industry in recent years. However, UAS (Unmanned Aerial System) and LiDAR (Light Detection And Ranging) have to be solved by compensating blind spot which is not reconstructed according to the object shape. In addition, the terrestrial LiDAR can acquire the point cloud of the object more precisely and quickly at a short distance, but a blind spot is generated at the upper part of the object, thereby imposing restrictions on the forward digital twin modeling. The UAS is capable of modeling a specific range of objects with high accuracy by using high resolution images at low altitudes, and has the advantage of generating a high density point group based on SfM (Structure-from-Motion) image analysis technology. However, It is relatively far from the target LiDAR than the terrestrial LiDAR, and it takes time to analyze the image. In particular, it is necessary to reduce the accuracy of the side part and compensate the blind spot. By re-optimizing it after fusion with UAS and Terrestrial LiDAR, the residual error of each modeling method was compensated and the mutual correction result was obtained. The accuracy of fusion-based 3D model is less than 1cm and it is expected to be useful for digital twin construction.

돼지의 거세방법이 생체 및 도체에 미치는 영향

이용빈,송계원,오성종 ( Yong B . Lee,Kai W . Song,Sung J . Oh ) 한국축산학회 1979 한국축산학회지 Vol.21 No.4

This experiment was carried out to find the best castration method for economical body gain and the improvement of the pork quality by preventing the sex odor. Including three female pigs, twelve heads of pigs, 50days old, were assigned into four groups, three pigs each by the completely randomized design. Except female group for control, the rest three groups were treated by the different castration; complete castration, cryptorchidism (short scrotum), and partial castration, and fed for 21weeks under the sane feeding condition. During the feeding period, the body gain and he feed consumptions were checked periodically for daily gain and feed efficiency. After the finishing of feeding, all the pigs were slaughtered and the carcass data, were collected and analyzed. The results obtained were summarized as follows; 1. The average total gain of completely castration, cryptorchidism, partial castration and female groups were 73.17, 81.50, 78.57 and 60.33kg respectively. However, there were non-significant differences for daily gain among each groups. 2. Feed consumption was non-significantly differed between four groups and they shown the same tendency in feed efficiency and body weight gain. 3. Dressing percentage was non-significant difference among the treatments. The whole average of dressing percentage was 68.3% 4. The ratio of carcass width(W) to carcass length (L) was about 41% in cryptorchidism and complete castration, but 46% in partial castration. 5. The backfat thickness indicated slightly lower in cryptorchidism (2.33㎝) than partial castration (2.63㎝), which was slightly lower than commonly-fattend swine. In loin eye muscle area, cryptorchidisn (31㎠) showed a little greater than complete castration (29㎠) and partial castration (30㎠).

Confirming Single Nucleotide Polymorphisms from Expressed Sequence TagDatasets Derived from Three Cattle cDNA Libraries

윤두학,이준헌,오성종,정일정,Seung-Hwan Lee,Eung-Woo Park,Yong-Min Cho,Ji-Woong Lee,Hyoung-Yong Kim 한국생화학분자생물학회 2006 BMB Reports Vol.39 No.2