• Title/Summary/Keyword: 와칼라

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Breeding of Standard Rose Cultivar, 'White Day' with White Petal (백색 스탠다드 장미 'White Day' 육성)

  • Kim, Seung-Tae;Kim, Won-Hee;Lee, Eun-Kyung;Lee, Su-Young;Huh, Kun-Yang
    • Korean Journal of Breeding Science
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    • v.42 no.6
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    • pp.623-626
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    • 2010
  • A new standard rose cultivar 'White Day' was bred from the cross between white standard cultivar 'Athena' and white standard cultivar 'Tineke'at the National Institute of Horticultural and Herbal Science. The cross was made in 1998 and 'White Day'was finally selected in 2002 after investigating its characteristics for three years from 2000 to 2002 (UPOV standards). 'White Day', a white standard cultivar grows vigorously and has good flower shape. The major characteristics of this cultivar are 106.3 stems/$m^2$/year in yield, 68.6 cm in length of cut flower, 14.3 cm in flower diameter, 93.5 in petal number per stem, and 13.4 days in vase life. This cultivar can be propagated by both cutting and grafting. The consumer's preference of this cultivar is relatively higher than that of control cultivar, 'Tineke'.

Image Processing Software Development for Detection of Oyster Hinge Lines (굴의 힌지 선 감지를 위한 영상처리 소프트웨어의 개발)

  • So, J.D.;Wheaton, Fred W.
    • Journal of Biosystems Engineering
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    • v.22 no.2
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    • pp.237-246
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    • 1997
  • Shucking(removing the meat from the shell) an oyster requires that the muscle attachments to the two shell valves and the hinge be severed. Described here is the computer vision software needed to locate the oyster hinge line so it can be automatically severed, one step in development of an automated oyster shucker. Oysters are first prepared by washing and trimming off a small shell piece on the oyster hinge end to provide access to the outer hinge surface. A computer vision system employing a color video comera then gabs an image of the hinge end of the oyster shell. This image is Processed by the computer using software. The software is a combination of commercially available and custom written routines that locate the oyster hinge. The software uses four feature variables, circularity, rectangularity, aspect-ration, and Euclidian distance, to distinguish the hinge object from other dark colored objects on the hinge end of the oyster. Several techniques, including shrink-expand, thresholding, and others, were used to secure an image that could be reliably and efficiently processed to locate the oyster hinge line.

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Evaluation of Potato Genetic Resources and Development of Potato Varieties with Diverse colors (감자 유전자원 평가 및 다양한 컬러 감자 품종 개발)

  • 임학태;이규화;구동만;양덕춘;전익조
    • Korean Journal of Plant Resources
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    • v.16 no.3
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    • pp.264-274
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    • 2003
  • Many potato genetic resources have been collected and improved for their diverse traits over the years using breeding program in KPGR. To select potential varieties for table and processing in Korea, 58 elite potato breeding lines and several 'Valley' varieties were cultivated and harvested at Korea Alpine area in 2001. The cultivated lines and varieties were evaluated using their cultural adaptability in the environment and tuber characteristics, such as the depth of tuber eye, tuber shape, skin color, flesh color, scab resistance, yield, and the resistance of hollow heart and internal brown spot disease. Additionally, in the selection of potential processing varieties, reducing sugar content (sum of glucose and fructose concentration) of tubers is critically considered, because it mainly influence on the chip color of processing potato tuber. For table stock varieties with white skin color, 'Early Valley', 'Summer Valley', 'Winter Valley', and 'Taebok Valley' were selected. In the aspect of diverse potato tuber color, several varieties were selected such as 'Golden Valley' for its yellow fresh and skin color, 'Gogu Valley', 'Juice Valley', and 'Rose Valley' for their red skin color, and 'Purple Valley' for its purple skin. Compared with world wide known processing cultivar 'Atlantic', 24 lines (or varieties) were selected for the potential potato processing industry due to their low reducing sugar contents (below 0.3%), high yield (above 4.0 ton/ha), and unique chip colors. Selected white chipping varieties were 'Taedong Valley', 'Kangshim Valley', and 'Kangwon Valley', which have 0.23%, 0.27%, and 0.29% of reducing sugar contents, respectively. 'Bora Valley', having deep purple color in both skin and fresh, was selected for purple chip variety and has 0.26% of reducing sugar content. Light yellow chip varieties (lines) were 'Rose Valley' and Valley 54, having 0.19% and 0.269% of reducing sugar content, respectively. For French frying potatoes, 'Stick Valley' of 0.22% and Valley 72 of 0.151% in reducing sugars were selected. All of these selected lines and 'Valley' varieties can be used as parents to improve potato genetic resources and to develop better varieties with unique traits and colors.

Preparation and Properties of Organic Electroluminescent Devices (유기 전계발광소자의 제작과 특성 연구)

  • 노준서;장호정
    • Journal of the Microelectronics and Packaging Society
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    • v.9 no.1
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    • pp.9-13
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    • 2002
  • Recently, Organic electroluminescent devices (OELDs) have been demonstrated the medium sized full color display with effective multi-layer thin films. In this study, the multi-layer OELDs were prepared on the patterened ITO (indium tin oxide)/glass substrates by the vacuum thermal evaporation method. The low molecule compounds such as $Alq_3$(trim-(8-hydroxyquinoline)aluminum) and CTM (carrier transfer material) as the electron transport and injection layers as well as TPD (triphenyl-diamine) and CuPc (copper phthalocyanine) as the hole transport and injection layers were used. The luminance was rapidly increased above the threshold voltage of 10 V. The luminance and emission spectrum for the OELDs samples with $A1/CTM/Alq_3$/TPD/1TO structures were found to be 430 cd/$m^2$and 512 nm at 17 V showing green color emission. In contrast, the samples with $Li-A1/Alq_3$/TPD/CuPC/1TO multi-structures showed 508 nm in emission spectrum and 650 cd/$m^2$at 17 V in the luminance. The increment of luminance may be ascribed to the improved efficiency of recombination in the region of the emission layers by the deposition of CuPc as hole injection layer and the low work function of the Li-Al electrode compared to the Al electrode.

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Breeding of Spray Rose 'Glory Purple' with Powdery Mildew Resistance (흰가루병 저항성 스프레이 장미 'Glory Purple' 육성)

  • Kim, Seung-Tae;Kim, Won-Hee;Lee, Eun-Kyung;Lee, Su-Young;Mun, Bo-Heum;Lee, Kwang-Sik
    • FLOWER RESEARCH JOURNAL
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    • v.19 no.3
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    • pp.164-167
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    • 2011
  • A new spray rose cultivar 'Glory Purple' was bred from the cross between a pink spray cultivar 'Macarena' and a pink spray cultivar 'Million Pink' at the National Institute of Horticulture & Herbal Science. The cross was made in 2004 and a candidate genotype which named as 'Glory Purple' was selected in 2009 after three years investigation for agronomical characters from 2007 to 2009. 'Glory Purple', a purple colored spray cultivar, has vigorous growth and has powdery mildew resistance. The major characteristics of this cultivar are high yield and long stem with relatively large flower size with $157stems/m^2/year$ in yield, 63.5 cm in mean length of cut flower, 6.8 cm in mean flower diameter, 25.78 in mean petal number, and 10.2 days in mean vase life. This cultivar is suitable for propagation by both cutting and grafting methods. The consumer's preference of this cultivar is relatively higher than that of the control cultivars, 'Pinky and Charming'.

Development and Preliminary Test of a Prototype Program to Recommend Nitrogen Topdressing Rate Using Color Digital Camera Image Analysis at Panicle Initiation Stage of Rice (디지털 카메라 칼라영상 분석을 이용한 벼 질소 수비량 추천 원시 프로그램의 개발과 예비 적용성 검토)

  • Chi, Jeong-Hyun;Lee, Jae-Hong;Choi, Byoung-Rourl;Han, Sang-Wook;Kim, Soon-Jae;Park, Kyeong-Yeol;Lee, Kyu-Jong;Lee, Byun-Woo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.55 no.4
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    • pp.312-318
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    • 2010
  • This study was carried out to develop and test a prototype program that recommends the nitrogen topdressing rate using the color digital camera image taken from rice field at panicle initiation stage (PIS). This program comprises four models to estimate shoot N content (PNup) by color digital image analysis, shoot N accumulation from PIS to maturity (PHNup), yield, and protein content of rice. The models were formulated using data set from N rate experiments in 2008. PNup was found to be estimated by non-linear regression model using canopy cover and normalized green values calculated from color digital image analysis as predictor variables. PHNup could be predicted by quadratic regression model from PNup and N fertilization rate at panicle initiation stage with $R^2$ of 0.923. Yield and protein content of rice could also be predicted by quadratic regression models using PNup and PHNup as predictor variables with $R^2$ of 0.859 and 0.804, respectively. The performance of the program integrating the above models to recommend N topdressing rate at PIS was field-tested in 2009. N topdressing rate prescribed for the target protein content of 6.0% by the program were lower by about 30% compared to the fixed rate of 30% that is recommended conventionally as the split application rate of N fertilizer at PIS, while rice yield in the plots top-dressed with the prescribed N rate were not different from those of the plots top-dressed with the fixed N rates of 30% and showed a little lower or similar protein content of rice as well. And coefficients of variation in rice yield and quality parameters were reduced substantially by the prescribed N topdressing. These results indicate that the N rate recommendation using the analysis of color digital camera image is promising to be applied for precise management of N fertilization. However, for the universal and practical application the component models of the program are needed to be improved so as to be applicable to the diverse edaphic and climatic condition.

Observation of Methane Flux in Rice Paddies Using a Portable Gas Analyzer and an Automatic Opening/Closing Chamber (휴대용 기체분석기와 자동 개폐 챔버를 활용한 벼논에서의 메탄 플럭스 관측)

  • Sung-Won Choi;Minseok Kang;Jongho Kim;Seungwon Sohn;Sungsik Cho;Juhan Park
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.4
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    • pp.436-445
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    • 2023
  • Methane (CH4) emissions from rice paddies are mainly observed using the closed chamber method or the eddy covariance method. In this study, a new observation technique combining a portable gas analyzer (Model LI-7810, LI-COR, Inc., USA) and an automatic opening/closing chamber (Model Smart Chamber, LI-COR, Inc., USA) was introduced based on the strengths and weaknesses of the existing measurement methods. A cylindrical collar was manufactured according to the maximum growth height of rice and used as an auxiliary measurement tool. All types of measured data can be monitored in real time, and CH4 flux is also calculated simultaneously during the measurement. After the measurement is completed, all the related data can be checked using the software called 'SoilFluxPro'. The biggest advantage of the new observation technique is that time-series changes in greenhouse gas concentrations can be immediately confirmed in the field. It can also be applied to small areas with various treatment conditions, and it is simpler to use and requires less effort for installation and maintenance than the eddy covariance system. However, there are also disadvantages in that the observation system is still expensive, requires specialized knowledge to operate, and requires a lot of manpower to install multiple collars in various observation areas and travel around them to take measurements. It is expected that the new observation technique can make a significant contribution to understanding the CH4 emission pathways from rice paddies and quantifying the emissions from those pathways.

A Study on Enhancing the Performance of Detecting Lip Feature Points for Facial Expression Recognition Based on AAM (AAM 기반 얼굴 표정 인식을 위한 입술 특징점 검출 성능 향상 연구)

  • Han, Eun-Jung;Kang, Byung-Jun;Park, Kang-Ryoung
    • The KIPS Transactions:PartB
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    • v.16B no.4
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    • pp.299-308
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    • 2009
  • AAM(Active Appearance Model) is an algorithm to extract face feature points with statistical models of shape and texture information based on PCA(Principal Component Analysis). This method is widely used for face recognition, face modeling and expression recognition. However, the detection performance of AAM algorithm is sensitive to initial value and the AAM method has the problem that detection error is increased when an input image is quite different from training data. Especially, the algorithm shows high accuracy in case of closed lips but the detection error is increased in case of opened lips and deformed lips according to the facial expression of user. To solve these problems, we propose the improved AAM algorithm using lip feature points which is extracted based on a new lip detection algorithm. In this paper, we select a searching region based on the face feature points which are detected by AAM algorithm. And lip corner points are extracted by using Canny edge detection and histogram projection method in the selected searching region. Then, lip region is accurately detected by combining color and edge information of lip in the searching region which is adjusted based on the position of the detected lip corners. Based on that, the accuracy and processing speed of lip detection are improved. Experimental results showed that the RMS(Root Mean Square) error of the proposed method was reduced as much as 4.21 pixels compared to that only using AAM algorithm.

Application of Image Processing Method to Evaluate Ultimate Strain of Rebar (철근의 한계상태변형률 평가를 위한 이미지 프로세싱의 적용)

  • Kim, Seong-Do;Jung, Chi-Young;Woo, Tae-Ryeon;Cheung, Jin-Hwan
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.3
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    • pp.111-121
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    • 2016
  • In this study, measurements were conducted by image processing to do an in-depth evaluation of strain of rebar in a uniaxial tension test. The distribution of strain and the necking region were evaluated. The image processing is used to analyze the color information of a colored image, so that the parts consistent with desired targets can be distinguished from the other parts. After this process, the image was converted to a binary one. Centroids of each target region are obtained in the binary images. After repeating such process on the images from starting point to the finishing point of the test, elongation between targets is calculated based on the centroid of each target. The tensile test were conducted on grade 60 #7(D22) and #9(D29) rebars fabricated in accordance with ASTM A615 standards. Strain results from image processing were compared to the results from a conventional strain gauge, in order to see the validity of the image processing. With the image processing, the measuring was possible in not only the initial elastic region but also the necking region of more than 0.5(50%) strain. The image processing can remove the measuring limits as long as the targets can be video recorded. It also can measure strain at various spots because the targets can easily be attached and detached. Thus it is concluded that the image processing helps overcome limits in strain measuring and will be used in various ways.

Breeding of a Red Rose Cultivar, 'Noble Red' with Good Color and Shape (화형과 화색이 우수한 적색 스탠다드 장미 '노블레드' 육성)

  • Kim, Won-Hee;Kim, Seung-Tae;Lee, Eun-Kyung;Lee, Su-Young
    • Korean Journal of Breeding Science
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    • v.42 no.3
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    • pp.280-283
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    • 2010
  • A new standard rose cultivar 'Noble Red' was bred by the cross between the pink standard cultivar 'Silba 87' and the red standard cultivar 'Bravo' at the National Institute of Horticultural and Herbal Science. The cross was made in 1999 and 'Noble Red' was finally selected in 2003 after investigating the characteristics such as flower Color, Fragrance, stem length, stem diameter, weight, and number of leaves for three years from 2001 to 2003. 'Noble Red', a red standard cultivar grows vigorously and has good flower shape. The major characteristics of this cultivar are $125stems/m^2/year$ in yield, 71.9 cm in length of cut flower, 6.0cm in flower diameter, 30.8 in petal number, and 9.2 days in vase life. This cultivar can be propagated by both cutting and grafting. The consumer's preference of this cultivar is relatively higher than that of control cultivar, 'Rote Rose'.