• The Korean Journal of Nuclear Medicine
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• v.26 no.1
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• pp.140-146
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• 1992

$^{99m}Tc-Methionine$ complexes from enantiomeric and racemic methionines were prepared controlling reaction parameters such as pH and the concentration of stannous chloride. Some radiochromato-graphic systems were also examined to determine the labelling yields of $^{99m}Tc$ complexes. The best resolutions of $^{99m}Tc$ complexes were obtained at ITLC-SA developed with acetone and paper chromatography with n-butanol saturated with 0.3N HCI. In the former system, $HR-{99m}Tc$ and $^{99m}Tc-methionine$ complex remained at origin, while $^{99m}TcO_4^-$ moved with Rf value of 1.0. In latter process, $HR-^{99m}Tc$ stayed at the origin, while $^{99m}TcO_4^-\;and\;^{99m}Tc-methionine$ complexes moved with Rf value of 0.5. By combining of two chromatographic systems, the contents of three $^{99m}Tc$ species were calculated easily. $^{99m}Tc$ Labelling from enantiomeric and racemic methionines had little differences and the optimal condition was found at pH 9.00 and the molar ratio of methionine to stannous chloride of 24:1. The yields of $^{99m}Tc$ complexes from D-, L-, and DL-methionines were 87.6%, 94.1%, and 97.9%, respectively. The results indicated that methionine containing relatively hydrophobic methylthio group $(-SCH_3)$ would be labelled with $^{99m}Tc$ by stannous chloride method.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.558-568
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• 2000

In the paper, we propose the automatic generation method of digital elevation map based on contour map. The proposed method classifies contour data and non-contour data by thinning and labelling process of the contour line and then connects smoothly broken contour line by Bezier curve. Finally, the digital devation map is generated by the interpolation using the height data of the contour line. The proposed method can reduce vest effort, time and expense which is spend to make digital elevation map.

• Korean Journal of Organic Agriculture
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• v.19 no.3
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• pp.291-308
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• 2011

This study was carried out to estimate carbon footprint and to establish of LCA of cherry-tomato production system. I have case study in cultivate cherry tomato (1 kg) calculate in carbon foot print. LCA carried out to estimate carbon foot print and to establish of LCI (life cycle inventory) database of cherry tomato production system. The data is from Research of Farmer's income in 2007 (RDA, 2008), and used Pass (4.1.3) program. The value of fertilizer, amount of pesticide input were show the environmental effect and direct emission. Carbon foot printing in agriculture guarantee the choice right th consumer th choose the row carbon goods. Its can make to strengthen of agriculture and food industry's reduction effort of $CO_2$. Nowadays consumer request food's safety and environment friendly process. Carbon foot printing needs consumer's relief and incentives.

• The Korean Journal of Nuclear Medicine Technology
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• v.14 no.1
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• pp.90-93
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• 2010

Purpose: In our nuclear medicine department, we suggested AMC RBC labeling method improved by modifying a part of existing modified in-vitro method to raise the efficiency of $^{99m}Tc$-RBC labeling. However, it needs to be more additional time and efforts than existing modified in-vitro method because the AMC RBC labeling method has to carry out the centrifugal separation process for 3~5 minutes. Therefore, in this study, we conducted researches to aim to maintain stable labeling effects and supplement a problem about additional time by reducing rotating time when labeling $^{99m}Tc$-RBC. Materials and Methods: This research has been conducted the object of 30 patients who examined study using $^{99m}Tc$-RBC and agreed to this research at our hospital from May 2009 to September 2009. We made 4 blood samples which consisted of ACD 1 cc along with 5 cc blood from each patient and used the AMC RBC labeling method. At this moment, each labeling efficiency was calculated by different rotating time 5 min, 10 min, 15 min, and 20 min and then we compared differences. Results: As a result, When comparing the $^{99m}Tc$-RBC labeling method efficiency by using the AMC RBC labeling method which differents from rotating time, each labeling efficiency were $92.3{\pm}5.0%$ in 5 min, $95.9{\pm}5.0%$ in 10 min, $97.4{\pm}4.9%$ in 15 min and $97.7{\pm}4.8%$ in 20 min. We analyzed differences of the labeling efficiency from change of rotating time by using an one-way ANOVA and verified that in Duncan method. There was relatively efficiency low in 5min rotating time and no statistically significant change in over. Conclusions: When comparing a existing method, the AMC RBC labeling method which goes through the centrifugal separation process again offers more favorable condition to combine RBC with $^{99m}TcO4^-$ by eliminating an plasma ingredient. When using the modified in-vitro method, we have almost 20 min to rotate to acquire stable labeling efficiency. But, when using the AMC RBC labeling method, we acquire labeling efficiency well what we want within only 10 min to rotate. Decrease of rotating time can complement the AMC RBC labeling method which goes through the centrifugal separation process again and also provide more rapid study such as G-I bleeding study due to fast labeling.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1244-1248
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• 2003

This paper describes visual tracking procedure of the underwater mobile robot for nuclear reactor vessel inspection, which is required to find the foreign objects such as loose parts. The yellowish underwater robot body tends to present a big contrast to boron solute cold water of nuclear reactor vessel, tinged with indigo by Cerenkov effect. In this paper, we have found and tracked the positions of underwater mobile robot using the two color information, yellow and indigo. The center coordinates extraction procedures are as follows. The first step is to segment the underwater robot body to cold water with indigo background. From the RGB color components of the entire monitoring image taken with the color CCD camera, we have selected the red color component. In the selected red image, we extracted the positions of the underwater mobile robot using the following process sequences; binarization, labelling, and centroid extraction techniques. In the experiment carried out at the Youngkwang unit 5 nuclear reactor vessel, we have tracked the center positions of the underwater robot submerged near the cold leg and the hot leg way, which is fathomed to 10m deep in depth.

• Journal of Korea Multimedia Society
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• v.23 no.11
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• pp.1349-1360
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• 2020

In recent years, Convolutional Neural Networks (CNNs) have been successfully implemented in different tasks of computer vision. Since CNN models are the representatives of supervised learning algorithms, they demand large amount of data in order to train the classifiers. Thus, obtaining data with correct labels is imperative to attain the state-of-the-art performance of the CNN models. However, labelling datasets is quite tedious and expensive process, therefore real-life datasets often exhibit incorrect labels. Although the issue of poorly labelled datasets has been studied before, we have noticed that the methods are very complex and hard to reproduce. Therefore, in this research work, we propose Deep CleanNet - a considerably simple system that achieves competitive results when compared to the existing methods. We use K-means clustering algorithm for selecting data with correct labels and train the new dataset using a deep CNN model. The technique achieves competitive results in both training and validation stages. We conducted experiments using MNIST database of handwritten digits with 50% corrupted labels and achieved up to 10 and 20% increase in training and validation sets accuracy scores, respectively.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2259-2262
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• 2003

This paper describes visual tracking procedure of the underwater mobile robot for nuclear reactor vessel inspection, which is required to find the foreign objects such as loose parts. The yellowish underwater robot body tend to present a big contrast to boron solute cold water of nuclear reactor vessel, tinged with indigo by Cerenkov effect. In this paper, we have found and tracked the positions of underwater mobile robot using the two color informations, yellow and indigo. The center coordinates extraction procedures is as follows. The first step is to segment the underwater robot body to cold water with indigo background. From the RGB color components of the entire monitoring image taken with the color CCD camera, we have selected the red color component. In the selected red image, we extracted the positions of the underwater mobile robot using the following process sequences: binarization labelling, and centroid extraction techniques. In the experiment carried out at the Youngkwang unit 5 nuclear reactor vessel, we have tracked the center positions of the underwater robot submerged near the cold leg and the hot leg way, which is fathomed to 10m deep in depth.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2540-2545
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• 2015

In this paper, we propose a novel method to extract appendix from ultrasound image automatically to avoid such subjectivity issue. In the process, we apply a series of image processing algorithms such as Ends_in search stretching for emphasizing brightness contrast and binarization, region labelling, and cubic spline interpolation for extracting lower bound fasicia line that is the base of extracting the appendix. Knowing that the appendix is located at the lower organ area below the bottom fascia line, we conduct a series of image processing techniques to find the fascia line correctly. And then we apply ART2 algorithm to the organ area in order to extract appendix accurately. Through experiment, the effectiveness of the proposed method is verified based on the field experts' evaluations.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.261-264
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• 2019

There is the boundary following algorithm called by blob coloring or connected region labeling, which means that each pixel of the internal region can be filled with group label values by the raster scanning. This process represents to assigns the individual label value to each region. In this paper an improved equivalent table algorithm to be simpler and faster than the previous tangled complex labelling algorithm will be proposed when grouping different labels to the same region. 8 steps algorithms for grouping in the equivalent table will be presented and the yielding results will be shown.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.7
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• pp.1045-1050
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• 2002

The aims of this study were to detect spontaneously occurring apoptosis in cultured porcine ovarian cells, to examine the role of growth hormone (GH), tyrosine kinase (TK), protein kinase G (PKG) and cyclin-dependent kinase (CDK) in the control of this process, and to determine whether the effect of GH on apoptosis is mediated by TK-, PKG- and cdc2-dependent intracellular mechanisms. We studied the action of pGH (10 ng/ml), blockers of TK (genistein, lavendustin, both 100 ng/ml), PKG (Rp-Br-PET-cGMPS, 50 nM; KT5823, 100 ng/ml) and CDK (olomoucine, $1{\mu}g/ml$), as well as combinations of GH with these blockers, on the onset of apoptosis in cultured granulosa cells isolated from antral (3-6 mm) porcine follicles. The functional characteristics of an early apoptotic event, DNA fragmentation, were determined using terminal deoxynucleotidyltransferase (TdT)-mediated dUTP nick end labelling (TUNEL), whilst morphological signs of advanced apoptosis such as pyknosis, chromatin marginalization, shrinkage and fragmentation of nucleus, were detected using routine light microscopy. After culture, some ovarian granulosa cells exhibited DNA fragmentation, which in some cases was associated with morphological apoptosis-related changes (pyknosis, shrinkage and fragmentation of the nucleus). GH significantly reduced the proportion of TUNEL-positive cells. Neither TK nor CDK blockers when given alone, significantly affected the percentage of TUNEL-positive cells although both PKG blockers significantly increased this index. Furthermore, TK and PKG blockers given together with GH, prevented or reversed the inhibitory effect of GH on apoptosis, whilst the CDK blocker olomoucine promoted it. These observations demonstrate apoptosis in porcine ovaries and suggest the involvement of GH, TK, PKG and CDK in the control of this process. They also suggest that the effect of GH on ovarian apoptosis is mediated or regulated by multiple signalling pathways including TK-, PKG- and CDK-dependent intracellular mechanisms.