• Proceedings of the Ginseng society Conference
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• 1998.06a
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• pp.263-269
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• 1998

It is an established fact that most of the carcinogens implicate bay-region diol epoxides as the ultimate carcinogenic metabolites. These electrophiles react with nucleophilic sites in the cells to form abducts. It is the formation of carcinogenic-DNA adducts that is thought to initiate carcinogenesis. In our previous study we have reported chemopreventive property of Ginseng on 7,12-dimethylbenz (a)anthracene (DMBA) induced skin papillomagenesis in male Swiss albino mice. In this study we have examined the effect on formation of DMBA-DNA adducts in rat hepatocytes pretreated with ginseng. Primary cultures of rat hepatocytes were used. The cells wets treated with ginseng for 24 hrs and then with DMBA (iOn) for 18 hrs. Cells were then harvested, their DNA was isolated and analyzed by P)2 labelling. A significant reduction in the levels of DMBA-DNA adduces (adducts/108 nucleotides) was observed in all cultures pretreated with ginseng. The viability of cells was not affected by pre-treatment with ginseng. Our finding suggests that ginseng block or suppresses the events associated with chemical carcinogenesis by inhibiting metabolic activation of the carcinogens.

• Korean Journal of Organic Agriculture
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• v.16 no.3
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• pp.275-286
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• 2008

This paper examines the impact of reliability on consumers' demand for environmentally friendly agricultural products using ordered logit model. We survey 100 housewives living in the capital region and five metropolitian cities cross sectional data in 2007. This paper especially estimates the impact of instrumental factor, such as history tracking system, provision of information, safety assurance and labelling of brands on the consumers' demand. The main results show that provision of information and safety assurance affect consumers' demand more confident than others. In order to motivate consumers to buy more environmentally friendly agricultural products, the safety should be assured and more information on production and marketing channel should be labelled.

• Journal of Broadcast Engineering
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• v.17 no.4
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• pp.676-683
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• 2012

Motion estimation in video coding greatly affects implementation complexity. In this paper, a reducing method of the complexity in motion estimation is proposed by using both the depth and color cameras. We obtain object information with video sequence from distance information calculated by depth camera, then perform labeling for grouping pixels within similar distances as the same object. Three search regions (background, inside-object, boundary) are determined adaptively for each of motion estimation blocks within current and reference pictures. If a current block is the inside-object region, then motion is searched within the inside-object region of reference picture. Also if a current block is the background region, then motion is searched within the background region of reference picture. From simulation results, we can see that the proposed method compared to the full search method remains the almost same as the motion estimated difference signal and significantly reduces the searching complexity.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.95-102
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• 2005

In this paper, we propose a user friendly object-based image retrieval system using the interaction between cortex and hippocampus. Most existing ways of queries in content-based image retrieval rely on query by example or query by sketch. But these methods of queries are not adequate to needs of people's various queries because they are not easy for people to use and restrict. We propose a method of automatic color object extraction using CSB tree map(Color and Spatial based Binary をn map). Extracted objects were transformed to bit stream representing information such as color, size and location by region labelling algorithm and they are learned by the hippocampal neural network using the interplay between cortex and hippocampus. The cells of exciting at peculiar features in brain generate the special sign when people recognize some patterns. The existing neural networks treat each attribute of features evenly. Proposed hippocampal neural network makes an adaptive fast content-based image retrieval system using excitatory learning method that forwards important features to long-term memories and inhibitory teaming method that forwards unimportant features to short-term memories controlled by impression.

• Journal of Food Hygiene and Safety
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• v.25 no.2
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• pp.162-169
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• 2010

The compulsory beef labelling system has launched from January 1st 2007 by the amended Food Hygiene Law, we were checked the actual conditions of beef origin with a nationwide scale by the Hanwoo differentiation specific test method which was developed by Korea FDA using 90 SNP biomarkers. The test method is useful tool to differentiate the beef origin carrying out the mission of KFDA's annual food safety management guidance. Also we have technically transferred the Hanwoo differentiation specific test method to other institutes as well regional KFDA and established the training program as a regular course in Korea Human Resource Development Institute for Health and Welfare. The beef used in this study were collected according to the 2009 Food safety guidance in roast beef restaurants where business site area greater than 100 $m^2$. Total 216 samples were consisted of 48 samples of the Seoul area and 168 of the region. The monitoring result from restaurants in all the region of Korea showed that 3 of 216 Hanwoo-labelled beefs were found out as a non-Hanwoo (1.3%). This results are gradually deceasing trend compared with 34.0% in 2005, 30.1% in 2006, 3.2% in 2007 and 5.14% in 2008. From these data, the Hanwoo differentiation specific test method on the settlement of the compulsory beef labelling system has an important role. As a outcome of this project, we might be considered the early settlement of the compulsory beef labelling system, technically transferred to other institutes and the establishment of regular training program of the test method.

• Journal of fish pathology
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• v.8 no.1
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• pp.37-46
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• 1995

The amino acid analysis of polyhedrin protein and nucleotide sequence of polyhedrin gene in H. cunea nuclear polyhedrosis virus (HcNPV) genome have been studied. Polyhedrin had three polypeptide bands in SDS - polyactylamide gel electrophoresis. The major polypeptide had a molecular weight of 25 kd. The polyhedrin was composed of 17 different amino acids. HcNPV DNA was digested with EcoRI restriction enzyme and hybridized with ($\alpha^{32}P$) -labelled AcNPV polyhedrin gene cDNA. The polyhedrin gene was located on the fragment of EcoRI-H. The EcoRI - H fragment containing polyhedrin gene was cloned into the EcoRI site of pUC8 vector which was confirmed with southern blotting, and the recombinant plasmid containg polyhedrin gene was designated as hPE-H. The promoter region of polyhedrin genomic DNA was sequenced. The sequences identified as the TATA box was found at the 5' flanking region of the polyhedrin genomic DNA approximately -79 bp upstream from the transcriptional start site. But CAAT-like box was not shown near the TATA-like box in the polyhedrin gene. Four tandem repeats with the sequence 5' -CTAATAT-3' and 5'-TAAATAA-3' were found between -141 and -108 or -83 upstream and -52 bp downstream from the translation start site. About -141 bp region upstream from the translational start site was highly AT (78%) rich. The coding region for the polyhedrin starts and ends with ATG and TAA, respectively.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.311-321
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• 2007

For fast and robust face detection, this paper proposes an approach for face detection using fusion of heterogeneous template matching. First, we detect skin regions using a model of skin color which covers various illumination and races. After reducing a search space by region labelling and filtering, we apply template matching with skin color and edge to the detected regions. Finally, we detect a face by finding the best choice of template fusion. Experimental results show the proposed approach is more robust in skin color-like environments than with a single template matching and is fast by reducing a search space to face candidate regions. Also, using a global accumulator can reduce excessive space requirements of template matching.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.33 no.3
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• pp.239-244
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• 2020

This study examines the feasibility of the image deep learning method using convolution neural networks (CNNs) to maintain a porcelain insulator. Data augmentation is performed to prevent over-fitting, and the classification performance is evaluated by training the age, material, region, and pollution level of the insulator using image data in which the background and labelling are removed. Based on the results, it was difficult to predict the age, but it was possible to classify 76% of the materials, 60% of the pollution level, and more than 90% of the regions. From the results of this study, we identified the potential and limitations of the CNN classification for the four groups currently classified. However, it was possible to detect discoloration of the porcelain insulator resulting from physical, chemical, and climatic factors. Based on this, it will be possible to estimate the corrosion of the cap and discoloration of the porcelain caused by environmental deterioration, abnormal voltage, and lightning.

• 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.

• Journal of Gastric Cancer
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• v.1 no.2
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• pp.83-91
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• 2001

Purpose: This study was to observe whether the apoptotic function of tumor-infiltrating lymphocytes (TIL) is induced in human gastric epithelial dysplasia and gastric adenocarcinoma according to the role of FasL expression. Materials and Methods: A total of 56 gastric epithelial dysplasia and gastric adenocarcinoma patients were enrolled in this study: 9 cases of gastric epithelial dysplasia, 18 cases of early gastric carcinomas (EGC) and 29 cases of advanced gastric carcinomas (AGC). Immunohistochemical staining was performed for FasL and CD45, and the terminal deoxynucleotidyl transferase mediated dUTP nick end labelling (TUNEL) method was used to detect cell death in tumor-infiltrating lymphocytes. Results: 1) Positive reactions of FasL to neoplastic cells were $88.9\%$ (8/9) in gastric epithelial dysplasia, $83.3\%$ (15/18) in EGC, and $75.9\%$ (22/29) in AGC. 2) Expression of TIL was decreased in the FasL positive region and was increased in the FasL negative region, and significant expression of TIL was observed in the AGC group (P=0.001). 3) Expression of apoptotic TIL was very similar to the FasL expression, and $100\%$ expression was observed in gastric epithelial dysplasia group. 4) Expression of apoptotic TIL was increased in the FasL positive region and decreased in the FasL negative region, and significant apoptotic expression was observed in the gastric epithelial dysplasia and EGC groups (P=0.0420, P=0.0263, respectively). Conclusion: These results suggest that FasL is a prevalent mediator of immune privilege in epithelial dysplasia and cancer of the stomach.