• 제목/요약/키워드: yield map

검색결과 158건 처리시간 0.023초

TiN 박막의 탄소성 유한요소해석 (Elastic-Plastic Finite Element Analysis of TiN Thin Film)

  • 김정실;김석삼
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 2001년도 제34회 추계학술대회 개최
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    • pp.331-340
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    • 2001
  • Elastic-Plasitc Finite element analysis is peformed about the TiN coated medium. The normal contact is simulated by a rigid asperity pressing the surface of an elastic-plastic half-surface. The case of a surface film stiffer than the substrate is considered, and general solutions for the subsurface stress and deformation fields are presented for several coating thickness. Additionally, the critical normal loads for deformation in the substrate and coating fracture are calculated when the yield of TiN film follows the Maximum Principal Stress Theory and Von Mises Theory. The results can be subsumed in failure maps for TiN thin film on steel.

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Mask R-CNN을 활용한 반도체 공정 검사 (Semiconductor Process Inspection Using Mask R-CNN)

  • 한정희;홍성수
    • 반도체디스플레이기술학회지
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    • 제19권3호
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    • pp.12-18
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    • 2020
  • In semiconductor manufacturing, defect detection is critical to maintain high yield. Currently, computer vision systems used in semiconductor photo lithography still have adopt to digital image processing algorithm, which often occur inspection faults due to sensitivity to external environment. Thus, we intend to handle this problem by means of using Mask R-CNN instead of digital image processing algorithm. Additionally, Mask R-CNN can be trained with image dataset pre-processed by means of the specific designed digital image filter to extract the enhanced feature map of Convolutional Neural Network (CNN). Our approach converged advantage of digital image processing and instance segmentation with deep learning yields more efficient semiconductor photo lithography inspection system than conventional system.

An Integrated Approach to the Improvement of Stability Lobes

  • Mohan, Sekar;Jonnalagadda, Srinivas;Kang, Nam-Cheol;Yang, Seung-Han
    • International Journal of Precision Engineering and Manufacturing
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    • 제9권4호
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    • pp.83-85
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    • 2008
  • Redundant spurious loops and overlapping segments in stability lobe diagrams cannot be removed easily by regular methods. A programmatic approach is presented to detect multiple spurious loops occurring within the lobes. They are identified by reorganizing the numerical lobe data into speed-depth corners for subsequent removal. The same principle is then extended to remove overlapping segments of adjacent lobes to obtain a final continuous stability map. Unlike existing methods, the proposed methodology requires no interface with additional editing software, and can also yield stability lobe diagrams more quickly. The methodology is presented with lobe diagrams constructed using milling and turning models.

초점 영상 및 비초점 영상으로부터 깊이맵을 생성하는 방법 (Depth Map Generation Using Infocused and Defocused Images)

  • 사이드 마흐모드포어;김만배
    • 방송공학회논문지
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    • 제19권3호
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    • pp.362-371
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    • 2014
  • 카메라 초점에 의해 발생하는 흐림(blur)의 변화는 깊이값을 측정하는데 사용한다. DFD(Depth from Defocus)는 깊이값과 흐림의 비례 관계를 이용하여 흐림의 양을 측정하는 기술이다. 기존 DFD 방법은 입력으로 두 장의 비초점 영상(defocused image)을 사용하는데, 기술적인 문제로 낮은 품질의 복원된 초점 영상(infocused image)과 깊이맵을 얻고 있다. 상기 문제점을 해결하는 방법으로 초점영상과 비초점 영상을 이용함으로써 복원된 초점 영상의 품질 저하를 해결한다. 제안 방법에서는 Subbaro가 제안한 DFD 방법에 새로운 에지 흐림 측정 방법을 결합하여 보다 정확한 흐림 값을 구한다. 또한 명암의 변화가 적은 영역에서는 흐림의 양을 측정하기가 어렵기 때문에, 관심맵(saliency)을 이용하여 비에지 영역을 채울 수 있도록 하였다. 실험에서는 초점 조절 기능이 있는 카메라로부터 20장의 2K FHD 해상도의 초점 및 비초점 영상을 생성한 후에 제안 방법을 이용하여 깊이맵을 생성하고, 마지막으로 입력 초점 영상과 깊이맵으로부터 3D 입체영상을 제작하였다. 3D 모니터로 시청한 결과 안정된 3D 공간감과 입체감을 얻을 수 있었다.

산림유역의 토양유실량(土壤流失量) 예측을 위한 지리정보(地理情報)시스템의 범용토양유실식(汎用土壤流失式)(USLE)에의 적용 (Application of GIS to the Universal Soil Loss Equation for Quantifying Rainfall Erosion in Forest Watersheds)

  • 이규성
    • 한국산림과학회지
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    • 제83권3호
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    • pp.322-330
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    • 1994
  • 토양침식에 영향을 미치는 강우, 토양, 지형, 식생 등을 종합적으로 고려하여 단위면적당 토양유실량(土壤流失量)을 예측하는 범용토양유실식(汎用土壤流失式)(Universal Soil Loss Equation)을 지리정보(地理情報)시스템(GIS)에 접목시켰다. 경기도 광릉 임업연구원 시험림을 연구지역으로 선정하여 이곳에서 지난 12년 동안 측정된 시간별 강우자료를 이용하여 강우인자(强雨因子)(R) 값을 산출하였고, 토양도, 지형도, 위성자료 등을 이용하여 USLE 계산에 필요한 다른 인자들의 값을 $25{\times}25m^2$의 격자마다 입력하여 디지털공간정보 데이터베이스를 구축하였다. 각 격자단위로 USLE에 의하여 토양유실량이 계산된 후 그 결과를 종합하여 토양유실의 정도를 공간적으로 살펴볼 수 있는 디지털지도가 산출되었다. GIS에 의한 USLE의 적용은 일정한 테두리 안의 산림유역(山林流域)에서 발생되는 강우에 의한 토양유실량을 추정할 수 있을 뿐만아니라, 주변지역과 비교하여 토양유실의 위험이 높은 특정지점을 공간적으로 파악할 수 있다는 장점이 있다. 이러한 접근 방법은 임지전용(林地轉用), 임도(林道)개설, 벌채, 산불 및 병충해에 의한 임지의 변화가 토양침식에 미치는 영향을 효과적으로 분석할 수 있는 도구로 사용될 수 있을 것이다.

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마이크로파 추출공정에 의한 쥐깨풀 유용성분의 추출조건 최적화 (Optimization of Microwave-Assisted Process for Extraction of Effective Components from Mosla dinthera M.)

  • 이은진;권영주;노정은;이정은;이성호;김재근;김광수;최용희;권중호
    • 한국식품저장유통학회지
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    • 제12권6호
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    • pp.617-623
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    • 2005
  • 마이크로파에 의한 자생식물 쥐깨풀(Mosla dianthera M.)의 유용성분을 효율적으로 추출하고자 중심합성계획에 의해 마이크로파 용량($X_1,\;0\~160$ W)과 추출시간($X_2,\;1\~5$분)을 독립변수로 하여 $75\%$ 에탄을 추출물의 품질특성인 총 수율($Y_1$), 총 페놀성 화합물 함량($Y_2$), 총 플라보노이드 함량($Y_3$) 및 전자공여능($Y_4$)을 각각 종속변수로 하여 10개 조건에 따른 추출방법에 대한 반응표면 회귀분석하였다. 종속변수들에 대한 결정계수($R_2$)는 $0.8397\~0.9801$ 범위로 나타났다. 추출물 성분들의 최대 예측값과 최적 추출조건은 총 수율 $6.76\%$(microwave power 142 W, extraction time 4.36 min), 총 페놀 함량 78.68 $mg\%$(136.78 W, 4.40 min), 총 플라보노이드 함량 6.75 mg/g(159.69 W, 3.17 min) 및 전자공여능 $49.81\%$(133.87 W, 4.47 min)으로 각각 나타났다. 추출물의 기능적 품질특성을 고려한 추출조건 범위는 마이크로파 용량 $79\~l13$ W, 추출시간 $2.73\~3.84$분이었다.

GIS를 이용한 댐 저수지의 흙탕물 발생 가능성 비교 평가 (Comparative Evaluation of Muddy Water Occurrence Possibility in Dam Reservoir Using GIS)

  • 이근상;최연웅;박진혁
    • 한국지리정보학회지
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    • 제14권1호
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    • pp.94-106
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    • 2011
  • 본 연구에서는 GIS 기반 토사유실모델과 유사전달률 그리고 유효저수용량을 고려하여 댐 저수지별 흙탕물 발생 가능성을 분석하였다. 이를 위해 DEM, 토양도, 토지피복도 등의 공간자료를 기반으로 RUSLE 모델의 입력인자를 평가하여 유역대책 수립시 필요한 각 유역별 취약인자를 분석하였으며, 고랭지밭 특성을 고려한 토사유실량 평가를 통해 강우시 유역내 토사발생 잠재성을 분석하였다. 또한 유역면적을 고려한 유사전달률을 통해 유역별 토사유출량을 계산한 결과 충주댐과 소양강댐이 가장 높은 값을 나타내었으며, 유효저수용량을 고려한 유사농도 분석결과에서는 임하댐과 충주댐이 각각 0.791 $kg/m^3/yr$와 0.526 $kg/m^3/yr$로 가장 높게 나타났다. 특히 임하댐의 토사유출량은 소양강댐유역에 비해 약 2.36배 낮게 나타났으나 임하댐 저수지의 유효저수용량이 소양강댐에 비해 약 4.48배 작아 유사농도는 오히려 임하댐 저수지가 1.90배 높게 분석되었다. 본 연구에서는 10년 평균 강우사상을 이용하여 유사농도를 계산하였으며, 이를 통해 각 유역별 토양, 지형, 식생, 경작상태 그리고 유효저수용량 측면을 검토할 수 있었다. 따라서 이러한 정량화된 유사농도 자료들은 저수지의 고탁수 발생 잠재성을 평가할 수 있고 저수지 관리를 위한 효과적인 도구로도 활용될 수 있으리라 판단된다.

토양의 정량적 및 정성적 특성을 이용한 연초 경작지의 비옥도 평가 (Fertility Evaluation of Tobacco Field by Quantitative and Qualitative Characteristics of Soils)

  • 홍순달;김기인;이윤환;정훈채;김용연
    • 한국연초학회지
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    • 제22권2호
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    • pp.123-132
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    • 2000
  • Evaluation method of soil fertility by combination of soil color characteristics and survey data from soil map as well as chemical properties was investigated on total 35 field and pot experiments. Total 35 tobacco fields including 11 fields located at Cheonweon county in Chungnam Province, 9 fields located at Goesan county in Chungbuk Province, and 15 fields located at Youngcheon county in Kyongbuk Province were selected in 1984 to cover the wide range of distribution in landscape and soil attributes. Yields of tobacco grown on the plots of both the pot and field experiment which were not applied with any fertilizer were considered as basic fertility of the soil (BFS). The BFS was estimated by 32 independent variables including 15 chemical properties, 3 color characteristics, and 14 soil survey data from soil map. Twenty-four independent variables containing 16 quantitative variables selected from 24 quantitative variables by collinearity diagnostics and 8 qualitative variables, were classified and analyzed by multiple linear regression (MLR) of REG and GLM models of SAS. Tobacco yield of field experiment showed high variations by eight times in difference between minimum and maximum yield indicating the diverse soil fertility among the experimental fields. Evaluation for the BFS by the MLR including quantitative variables was still more confidential than that by a single index and that showed more improvement of coefficient of determination ($R^2$) in pot experiment than in field experiment. Evaluation for the BFS by MLR in field experiment was still improved by adding qualitative variables as well as quantitative variables. The variability in the BFS of field experiment was explained 43.2% by quantitative variables and 67.95% by adding both the quantitative and qualitative variables compared with 21.7% by simple regression with NO$_3$-N content in soil. The regression evaluation for the best evaluation of the BFS of field experiment by MLR included NO$_3$-N content, L value, and a value of soil color as quantitative variables and available soil depth and topography as qualitative variables. Consequently, it is assumed that this approach by the MLR including both the quantitative and qualitative variables was available as an evaluation model of soil fertility for tobacco field.

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Identification of Quantitative Trait Loci Associated with Seed Size and Weight in Soybean

  • Kim, Hong-Sik;Lee, Suk-Ha;Park, Keum-Yong;Lee, Yeong-Ho
    • 한국작물학회지
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    • 제45권4호
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    • pp.227-231
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    • 2000
  • Small seed size is one of the major traits of soybean cultivars for sprouts with regard to high sprout yield. This study was conducted to identify quantitative trait loci (QTL) for seed size and weight in a set of F 6 seeds of 89 lines derived from a cross between 'Pureunkong', a soybean cultivar developed for sprouts and 'Jinpumkong 2', a soybean cultivar with no beany taste in seed due to the lack of lipoxygenases. The genetic map of 25 linkage groups with a total of 98 markers including RFLP, RAPD, SSR and classical markers was constructed from this F/sbu 5/-derived population and was used for QTL analysis. 'Pureunkong' was significantly smaller (P<0.01) than 'Jinpumkong 2' in seed size and seed weight. Genetic variation was detected and transgressive segregation was common in the population for these traits. Seven DNA markers including opT14-1600 in LG A2, opF02-400 in LG B2, Satt100, opC09-700, opG04-730 and opQll-650 in LG C2, and opY07-1100 & 1000 in LG(unknown) were significantly associated and accounted for 4.7 to 10.9% and 5.1 to 10.1 % of the phenotypic variation in seed size and seed weight, respectively. 'Pureunkong' alleles increased seed size and seed weight at the all four significant marker loci on the LG C2. These marker loci in LG C2 were closely linked and were presumed to be a single QTL. Overall, at least three independent QTLs from 3 linkage groups (A2, B2, and C2) were putatively involved in the control of seed size and seed weight.

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Identification of SNPs tightly linked to the QTL for pod shattering in soybean[Glycine max (L.) Merr.]

  • Kim, Kyung-Ryun;Kim, Kyung Hye;Go, Hong Min;Lee, Ju Seok;Moon, Jung-Kyung;Ha, Bo-Keun;Jeong, Soon-Chun;Kim, Namshin;Kang, Sungtaeg
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.146-146
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    • 2017
  • The pod shattering or dehiscence is essential for the propagation of pod-bearing plant species in the wild, but it causes significant yield losses during harvest of domesticated crop plants. Identifying novel molecular makers, which are linked to seed-shattering genes, is needed to employ the molecular marker-assisted selection for efficiently developing shattering-resistant soybean varieties. In this study, a genetic linkage map was constructed using 115 recombinant inbred lines (RILs) developed from crosses between the pod shattering susceptible variety, Keunol, and resistant variety, Sinpaldal. A 180 K Axiom(R) SoyaSNPs data and pod shattering data from two environments in 2001 and 2015 were used to identify quantitative trait loci (QTL) for pod shattering. A major QTL was identified between two flanking single nucleotide polymorphism (SNP) markers, AX-90320801 and AX-90306327 on chromosome 16 with 1.3 cM interval, 857 kb of physical range. In sequence, genotype distribution analysis was conducted using extreme phenotype RILs. This could narrow down the QTL down to 153 kb on the physical map and was designated as qPDH1-KS with 6 annotated gene models. All exons within qPDH1-KS were sequenced and the 6 polymorphic SNPs affecting the amino acid sequence were identified. To develop universally available molecular markers, 38 Korean soybean cultivars were investigated by the association study using the 6 identified SNPs. Only two SNPswere strongly associated with the pod shattering. These two identified SNPs will help to identify the pod shattering responsible gene and to develop pod shattering-resistant soybean plants using marker-assisted selection.

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