• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.1-4
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• 2007

In this paper, we propose an efficient scheme for automatically detecting highlight scenes in soccer videos. Highlights are defined as shooting scenes and goal scenes. Through the analysis of soccer videos, we notice that most of highlight scenes are shown around the goal post area. It is also noticed that the TV camera zooms in a setter player or spectators after the highlight stones. Detection of highlight scenes for soccer videos consists of three steps. The first step is the extraction of the playing field using a statistical threshold. The second step is the detection of goal posts. In the final step, we detect a zooming of a soccer player or spectators by using connected component labeling of non-playing field. In order to evaluate the performance of our method, the precision and the recall are computed. Experimental results have shown the effectiveness of the proposed method, with 95.2% precision and 85.4% recall.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.1865-1870
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• 2011

In this paper, we propose an effective method that automatically detects flaws in air deck by using non-destructive testing. First, Gamma correlation transform, 7 ${\times}$ 7 and 13 ${\times}$ 13 Sobel mask apply to the image of air deck acquired non-destructive testing in order to detect the edge of the image. Second, the edge detection area is smoothed and corrected by mean binarization method. Finally, the region of flaws in air deck is detected by a labeling method after removing the noise by the erosion and the dilation operation. In experimental results, we showed that the proposed detection method is effective in air deck.

• Proceedings of the Korean Society of Applied Pharmacology
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• 1998.11a
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• pp.158-158
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• 1998

The non-mevalonate pathway is a newly discovered isoprenoid biosynthetic pathway in some bacteria, cyanobacteria, algae and plants. Because isoprenoid metabolites (ubiquinone, menaquinone, undecaprenol) are essential for bacterial growth, this pathway may represent a novel target for antibacterial agents. Antibiotics with a unique mechanism of action are needed to combat the risk of antibiotic resistance that is a current worldwide problem. In order to study this pathway as viable target, it was necessary to verify use of the pathway in our model system, the bacterium Bacillus subtilis. Incubation experiments with [6,6-$^2$H$_2$]-D-glucose and [l-$^2$H$_3$]-deoxy-D-xylulose were conducted to provide labeled menaquinone-7 (MK -7), the most abundant isoprenoid in B. subtilis. $^2$H-NMR analysis of the MK-7 revealed labeling patterns that strongly support utilization of the non-mevalonate pathway. Another approach to study the pathway is by structure activity relationships of proposed inhibitors of the pathway. Fosmidomycin is a phosphonic acid with antibacterial activity known to inhibit isoprenoid biosynthesis in susceptible bacteria and may act by inhibiting the non-mevalonate pathway. Fosmidomycin and an N-methyl analog were synthesized and tested for antibacterial activity. Fosmidomycin was active against Escherichia coli and B. subtilis, while N-formyl-N-methyl-3-amino-propylphosphonic acid was inactive.

• Biomedical Science Letters
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• v.9 no.2
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• pp.67-74
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• 2003

Viral and non-viral vectors have been used in the delivery of genetic materials into animal cells and tissues, with each approach having pros and cons. Non-viral vectors have many useful merits such as easy preparation, low immunity and size tolerance of a transgene when compared to those of viral vectors. Delivery specificity may be achieved by complex formation between receptor ligands and a non-viral vector. In the present study, non-viral vector systems are investigated in an effort to find a practical delivery means for gene therapy, Receptor-ligand interaction between transferrin-receptor and transferrin was utilized for efficient gene transfer into cancer cells. A plasmid vector, pcDNA3 (LacZ) was ligated with a small duplexed oligo fragment in which a Biotin- VN$^{TM}$ phosphoramidite was placed in the middle of the oligo. The plasmid vector labeled by biotin was then conjugated with biotin-labeled transferrin via streptavidin. This trimeric conjugates were delivered to a hepatoma cell line, HepG2. The delivery efficiency of the trimeric conjugate was 2-fold higher than that of cationic liposomes used for transfection of a plasmid vector. These results demonstrate that a plasmid vector can be efficiently transferred into cells by forming a trimeric complex of plasmid vector-linker-ligand.

• Journal of Chest Surgery
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• v.39 no.5 s.262
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• pp.376-381
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• 2006

Background: The Ki-67 protein is a biomarker associated with cell proliferation and a valuable negative prognostic factor in non-small cell lung cancer. We investigated the Ki-67 protein expression in resected non-small cell lung cancer to evaluate the impact on clinicopathological characteristics and postoperative prognosis. Material and Method: Using monoclonal antibody Ki-67, we immunohistochemically examined 38 surgically resected non-small ceil lung cancers to determine Ki-67 Labeling Index (LI). We analysed the differences of clinicopathological characteristics and postoperative recurrence and survival between High Ki-67 Group $(LI{\ge}20%)$ and Low Ki-67 Group (LI<20%). Result: The Ki-67 LIs were heterogenous and a mean values was $20.0{\pm}20.05%$. There were no significant differences in age, sex, smoking, TNM stage, and vascular invasion between High Ki-67 Group and Low Ki-67 Group. A High Ki-67 Group was significantly associated with squamous cell type, poor differentiation, and lymphatic invasion $(p{\le}0.05)$. High Ki-67 Group showed a trend of lower survival (median 47.2 vs. 90.5 months, p=0.312) and lower disease-free survival (median 18.2 vs. 72.3 months, p=0.327) than Low Ki-67 Group. Conclusion: These results indicate that increased Ki-67 protein expression may be a negative prognostic factor and showed a trend of shortened survival and disease-free survival. To evaluate the pivotal role of Ki-67 protein expression, a long-term follow-up and further study are required.

• Korean Journal of Community Nutrition
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• v.24 no.1
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• pp.1-17
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• 2019

Objectives: This study was performed to compare the dietary life of single- and non single-person households in the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: A nationally representative sample of 20,421 19-64-year-olds who had 24-hour recall data was taken from the 2014-2016 Korea National Health and Nutrition Examination Survey (KNHANES). Single- and non single-persons were compared for nutrient intake, dietary behaviors, food consumption patterns, nutrition education and confirm nutrition label. Results: The dietary intakes of dietary fiber and iron were lower in single-person households than in non single-person households. The lower the level of education and income, the lower the nutrient intake of single-person households. In the case of those aged 19 to 29, the breakfast skipping rate was higher in single-person households than in non single-person households. The higher the education level, the higher the breakfast skipping rate and the eating out frequency in the single-person households. In the food intake survey, the frequency of healthy food intake in single-person households was much lower than that of non single-person households. The confirmation rate of nutrition labeling was lower in single-person households than in non single-person households. Conclusions: This study shows that single-person households have poorer health-nutritional behaviors than multi-person households. Therefore, a nutrition education program based on the data of this study needs to be developed for health promotion of single-person households.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.6
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• pp.2302-2316
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• 2015

We propose an efficient method of extracting targets within a region of interest in non-homogeneous infrared images by using a principal component analysis (PCA) plane and adaptive Gaussian kernel. Existing approaches for extracting targets have been limited to using only the intensity values of the pixels in a target region. However, it is difficult to extract the target regions effectively because the intensity values of the target region are mixed with the background intensity values. To overcome this problem, we propose a novel PCA based approach consisting of three steps. In the first step, we apply a PCA technique minimizing the total least-square errors of an IR image. In the second step, we generate a binary image that consists of pixels with higher values than the plane, and then calculate the second derivative of the sum of the square errors (SDSSE). In the final step, an iteration is performed until the convergence criteria is met, including the SDSSE, angle and labeling value. Therefore, a Gaussian kernel is weighted in addition to the PCA plane with the non-removed data from the previous step. Experimental results show that the proposed method achieves better segmentation performance than the existing method.

• Food Science of Animal Resources
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• v.27 no.2
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• pp.179-184
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• 2007

The objective of this study was to investigate the contents of meat and non-meat ingredients, calorie, fatty acid composition, and cholesterol contents of processed meat products of which informations are being provided for consumer and partly required for the current labeling system in Korea. A total of sixty-one domestic processed meat products produced from 6 domestic meat companies were collected at the large supermarkets in Suwon city; 1) 31 ham products(3 loin hams, 6 press hams, 20 mixed press hams and 2 fish hams), 26 sausage products(15 pork sausages, 7 mixed sausages and 4 fish sausages) and 4 ground processed meat products. Soy protein and com starch were widely used as non-meat ingredients for the most of processed meat products. The contents of meat, protein, fat, cholesterol contents, and calories were 75-98, 12-23, 1-16%, 7-50 mg/100g, and 1,620-3,127 cal/g for ham products and 60-96, 5-17, 3-27%, 5-73 mg/100g, and 1,271-3,546 cal/g for sausage products, respectively. The saturated(SFA), monounsaturated(MUFA) and polyunsaturated fatty acids(PUFA) contents of ham products were 31-40, 44-53 and 60-72%, and those of sausage products were 17-38, 34-61, and 13-37%, respectively. The ranges of meat contents and nutritional compositions were considerably broad even in the same type of the meat products. Therefore, the labeling system of the nutritional facts for ham as well as sausage products is necessary to categorize the quality level and thus to give the nutritional information to consumer for better choice of products in market.

• Convergence Security Journal
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• v.23 no.5
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• pp.125-133
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• 2023

This paper proposes an AI model that determines parking and non-parking zones based on return authentication photos to address parking issues that may arise in shared electric scooter systems. In this study, we used a pre-trained Segformer_b0 model on ADE20K and fine-tuned it on tactile blocks and electric scooters to extract segmentation maps of objects related to parking and non-parking areas. We also presented a method to perform binary classification of parking and non-parking zones using the Swin model. Finally, after labeling a total of 1,689 images and fine-tuning the SegFomer model, it achieved an mAP of 81.26%, recognizing electric scooters and tactile blocks. The classification model, trained on a total of 2,817 images, achieved an accuracy of 92.11% and an F1-Score of 91.50% for classifying parking and non-parking areas.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.144-152
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• 2007

We propose a 3D modeling method for surface inspection of non-linear moving object. The laser lines reflect the surface curvature. We can acquire 3D surface information by analyzing projected laser lines on object. ill this paper, we use multi-line laser to make use of robust of single stripe method and high speed of single frame. Binarization and channel edge extraction method were used for robust laser line extraction. A new labeling method was used for laser line labeling. We acquired sink information between each 3D reconstructed frame by feature point matching, and registered each frame to one whole image. We verified the superiority of proposed method by applying it to container damage inspection system.