• Proceedings of the IEEK Conference
• /
• 2001.06d
• /
• pp.5-8
• /
• 2001

We propose a realtime numeric caption recognition algorithm that automatically recognizes the numeric caption generated by computer graphics (CG) and displays the modified caption using the recognized resource only when a valuable numeric caption appears in the aimed specific region of the live sportscast scene produced by other broadcasting stations. We extract the mesh feature from the enhanced binary image as a feature vector after acquiring the sports broadcast scenes using a frame grabber in realtime and then recover the valuable resource from just a numeric image by perceiving the character using the neural network. Finally, the result is verified by the knowledge-based rule set designed for more stable and reliable output and is displayed on a screen as the converted CC caption serving our purpose. At present, we have actually provided the realtime automatic mile-to-kilometer caption conversion system taking up our algorithm f3r the regular Major League Baseball (MLB) program being broadcasted live throughout Korea over our nationwide network. This caption conversion system is able to automatically convert the caption in mile universally used in the United States into that in kilometer in realtime, which is familiar to almost Koreans, and makes us get a favorable criticism from the TV audience.

• Journal of Advanced Navigation Technology
• /
• v.20 no.4
• /
• pp.305-313
• /
• 2016

International Civil Aviation Organization (ICAO) has recommended the adoption of performance-based navigation (PBN), which utilizes global navigation satellite system (GNSS). As a part of efforts to adopt PBN in South Korea, preparations have been made to implement GNSS. In Oct. 2014, Korea augmentation satellite system (KASS) was officially launched for development. A set of navigation devices need to be on-board for an airplane to utilize GNSS. GNSS navigation devices are used for different phases of flights through en-route, terminal, departure, approach and a wide variety of specification standards have been proposed for GNSS navigation. In this paper, we investigate the many proposed standards for GNSS navigation devices and their interfaces. This paper can be useful for designing procedures and flight test used in KASS implementation.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.5
• /
• pp.1921-1928
• /
• 2010

This study was attempted in order to examine about influence of knowledge and attitude toward CPR(Cardiopulmonary Resuscitation) in elementary school students of some regions upon self-confidence. The aim is to be conducive to effective performance and self-confidence in CPR for cardiac arrest patients. We carried out targeting 381 elementary school students who attend 4 schools in J city and K city of J province from June 25 to July 15, 2009. The statistical processing was done by SPSS WIN 12.0 Version. The statistical significance was set to p<.05. As for correlation between variables of cardiopulmonary resuscitation characteristics with knowledge, attitude, and self-confidence, the appearance of acquiring information(r=.174, p<.01), the appearance of experiencing cardiopulmonary resuscitation(r=.143, p<.01), the appearance of educating cardiopulmonary resuscitation(r=.164, p<.01), necessity for education(r=.184, p<.01), knowledge(r=.342, p<.01), and attitude(r=.736, p<.01) showed correlation with self-confidence. As for influence of knowledge and attitude toward cardiopulmonary resuscitation upon self-confidence, the attitude($\beta=.703$, t=17.884, p<.01) had significant influence upon self-confidence. It is necessary to arrange educational program of cardiopulmonary resuscitation, to distribute effective manpower, and to provide elementary school students to cope with emergent situation.

• Proceedings of the Korean Society of Plant Pathology Conference
• /
• 2003.10a
• /
• pp.130-130
• /
• 2003

Gummy stem blight pathogen is very difficult not only to monitor the inoculum levels prior to host infection, and also it is destructive and hard to control in field condition. We have applied RAPD technique to elucidate the genetic diversity of the genomic DNA of Didymella bryoniae and also to generate specific diagnostic DNA probe useful for identification and detection. The 40 primers produced clear bands consistently from the genomic DNA of twenty isolates of Didymella bryoniae, and two hundred seventy-three amplified fragments were produced with 40 primers. The combined data from 273 bands was analyzed by a cluster analysis using UPGMA method with an arithmetic average program of NTSYS-PC (Version 1.80) to generate a dendrogram. At the distance level of 0.7, two major RAPD groups were differentiated among 20 strains. RAPD group (RG) I included 8 isolates from watermelon except one isolate from melon. RAPD group (RG) IV included 12 isolates from squash, cucumber, watermelon and melon.. In amplification experiment with SCAR specific primer RG1F-RG1R resulted in a single band of 650bp fragment only for 8 isolates out of 20 isolates that should be designated as RAPD Group 1. However, same set of experiment done with RGIIF-RGIIR did not result in any amplified product.. Our attempts to detect intraspecific diversity of ITS region of rDNA by amplifying ITS region and 17s rDNA region for 20 isolates and restriction digestion of amplified fragment with 12 enzymes did not reveal polymorphic band. In order to develop RAPD markers for RGIV specific primer, a candidate PCR fragment( ≒1.4kb) was purified and Southern hybridized to the amplified fragment RGIV isolates. This promising candidate probe recognized only RGIV isolates

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.22 no.1
• /
• pp.1-12
• /
• 2020

As one of the essential resources in the agricultural process, soil moisture has been carefully managed by predicting future changes and deficits. In recent years, statistics and machine learning based approach to predict soil moisture has been preferred in academia for its generalizability and ease of use in the field. However, little is known that machine learning based soil moisture prediction is applicable in the situation of South Korea. In this sense, this paper aims to examine 1) whether publicly available weather data generated in South Korea has sufficient quality to predict soil moisture, 2) which machine learning algorithm would perform best in the situation of South Korea, and 3) whether a single machine learning model could be generally applicable in various regions. We used various machine learning methods such as Support Vector Machines (SVM), Random Forest (RF), Extremely Randomized Trees (ET), Gradient Boosting Machines (GBM), and Deep Feedforward Network (DFN) to predict future soil moisture in Andong, Boseong, Cheolwon, Suncheon region with open source weather data. As a result, GBM model showed the lowest prediction error in every data set we used (R squared: 0.96, RMSE: 1.8). Furthermore, GBM showed the lowest variance of prediction error between regions which indicates it has the highest generalizability.

• Journal of Korean Foot and Ankle Society
• /
• v.15 no.2
• /
• pp.68-71
• /
• 2011

Purpose: To analyze relation between age or parameters measured before operation and cartilage erosion of the first metatarsal head measured during operation. Materials and Methods: The study was targeted at 56 patients and 79 feet, who underwent Scarf osteotomy or Scarf and Akin osteotomy from November 2009 through November 2010, and whose cartilage lesion of the first metatarsal head referred to the cartilage grade III or IV of the International Cartilage Repair Society. The measurement parameters were age, hallux valgus angle, intermetatarsal angle (1~2), tibial sesamoid position, proximal articular set angle and distal articular set angle. The cartilage erosion of the first metatarsal head was measured by one surgeon using cellophane. Occupancy rate and frequent involved sites of the cartilage erosion were recorded using Auto$CAD^{(R)}$ and adobe Illustrator CS4 program. SPSS correlation test and T-test were used for statistical analysis of the parameters and the cartilage erosion. Results: The cartilage erosion was incurred frequently in the sagittal groove and the site where subluxation or dislocation of the tibial sesamoild bone occurred but frequent involved sites had no statistical significance with cartilage erosion. The age showed a statistical significance with the cartilage erosion in the correlation test (p=0.003). Especially, the group of over 51 year old patients was turned out to have association with the cartilage erosion, compared to the group of below 51 (p=0.007). But, hallux valgus angle, intermetatarsal angle (1~2), tibial sesamoid position, proximal articular set angle and distal articular set angle were no statistical significance with the cartilage erosion. Conclusion: We found the more the age of patients increased (especially above 51), the more cartilage erosion increased. And it is thought that we pay attention to reduce tibial sesamoid bone.

• Research in Community and Public Health Nursing
• /
• v.30 no.4
• /
• pp.528-538
• /
• 2019

Purpose: The purpose of this study was to follow-up the frailty of the old who received home health care by Registered Nurse in Public Health Center over 8 years. Methods: We used the second wave data which was a comprehensive longitudinal data set, Public Health Information System of a public health center located in Seoul from 2010 to 2018. For statistical analysis, a mixed model of repeated measures by R program was used. Results: Frailty (range: 0~31) was getting worse significantly from 5.38 on registration to 6.54 on 4th year, 7.40 on 7th year, 7.69 on 8th year with adjustment for age, sex, economic status, the number of family, and the number diseases. The coefficient of parameters with frailty change was serviced year (β=0.29, p<.001), age (70~79 to 60~69; β=0.98, p=.018) and sex (female to male; β=2.55, p<.001). Conclusion: This study showed that the home visiting health service needs to take attention to aged 70s and over, female. The home health care of public health center need to be extended more practical and effective services in terms of 'community care'and 'ageing in place'.

• Health Policy and Management
• /
• v.25 no.2
• /
• pp.118-128
• /
• 2015

Background: We measured productivity changes of regional public hospitals using both global Malmquist productivity index-based on global production possibility set over all the periods-and the traditional Malmquist productivity index and analyzed the factors of productivity change. Methods: The data used in this study is two annual inputs and two annual outputs of 32 regional public hospitals in Korea from 2005 to 2009 and the results such as distances and Malmquist productivity index and global Malmquist productivity index are obtained by an R program written for this study. Results: The results can be summarized as follows. Firstly, technical efficiencies of regional public hospitals are affected largely by scale efficiency than pure technical efficiency. Second, productivity progressed and technological change has more significant influence on productivity advance over the period between 2005 and 2009. Third, the circularity problem of the traditional Malmquist index is confirmed, and so the global Malmquist index without this problem are valid for the analysis. Conclusion: Though this study also has some limitations with the data of regional public hospitals with a short time span, it is the first study of hospitals using global Malmquist productivity index and later it can be expanded to private hospitals and longer time periods.

• Asian-Australasian Journal of Animal Sciences
• /
• v.29 no.3
• /
• pp.343-351
• /
• 2016

Although the chemical, physical, and nutritional properties of bovine milk have been extensively studied, only a few studies have attempted to characterize milk-synthesizing genes using RNA-seq data. RNA-seq data was collected from 21 Holstein samples, along with group information about milk production ability; milk yield; and protein, fat, and solid contents. Meta-analysis was employed in order to generally characterize genes related to milk production. In addition, we attempted to investigate the relationship between milk related traits, parity, and lactation period. We observed that milk fat is highly correlated with lactation period; this result indicates that this effect should be considered in the model in order to accurately detect milk production related genes. By employing our developed model, 271 genes were significantly (false discovery rate [FDR] adjusted p-value<0.1) detected as milk production related differentially expressed genes. Of these genes, five (albumin, nitric oxide synthase 3, RNA-binding region (RNP1, RRM) containing 3, secreted and transmembrane 1, and serine palmitoyltransferase, small subunit B) were technically validated using quantitative real-time polymerase chain reaction (qRT-PCR) in order to check the accuracy of RNA-seq analysis. Finally, 83 gene ontology biological processes including several blood vessel and mammary gland development related terms, were significantly detected using DAVID gene-set enrichment analysis. From these results, we observed that detected milk production related genes are highly enriched in the circulation system process and mammary gland related biological functions. In addition, we observed that detected genes including caveolin 1, mammary serum amyloid A3.2, lingual antimicrobial peptide, cathelicidin 4 (CATHL4), cathelicidin 6 (CATHL6) have been reported in other species as milk production related gene. For this reason, we concluded that our detected 271 genes would be strong candidates for determining milk production.

• Journal of Animal Science and Technology
• /
• v.53 no.1
• /
• pp.29-34
• /
• 2011

Using the materials collected from nine farms in a three-way cross system to produce commercial pigs produced from F1 sows (Landrace $\times$ Large White) $\times$ Duroc, the power of individual discrimination and parentage of the 13 microsatellite (MS) marker set that has been suggested for individual/brand identification (traceability) was empirically tested. Initially, genotypes of the parental population ($F_1$ sows and Duroc), and commercial pigs were determined and the genotype frequency and polymorphic index were estimated using the Cervus 2.0 program. The probability of identity among genotypes of random individuals, that random half sibs and that of full sib individuals, based on the genotypes from 91 $F_1$ sows and Duroc were expected to be $4.94{\times}10^{-34}$, $8.16{\times}10^{-23}$ and $2.01{\times}10^{-08}$, respectively, using the API-CALC version 1.0 program. When commercial pigs were included, the estimates increased to $3.74{\times}10^{-35}$, $5.48{\times}10^{-25}$ and $2.96{\times}10^{-11}$, respectively. For the empirical verification of the estimated powers of individual discrimination and parentage, the parentage test was performed for 452 commercial pigs using PAPA version 2.0, and individuals with the same genotype were investigated using the Cervus version 2.0 program. Parents for all commercial pigs were successfully estimated and no identical individual was identified in the pedigree. Although the individual discriminating power was not fully verified because of the lack of individuals corresponding with the theoretical power, the 100% efficiency of parentage test was clearly confirmed. Therefore, we believe that the 13 MS marker set in conjunction with management record/information for the pig production kept in a farm/brand should be useful in the pork traceability in a brand unit.