• Korea Trade Review
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• v.47 no.6
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• pp.377-393
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• 2022

This study aims to identify the effect of growth of the land transportation industry on economic growth and to provide implications for Korea's metropolitan region policy. The effect of each metropolitan region on the integrated region where each metropolitan region is integrated is as follows. First, The integrated region where each metropolitan region was integrated with the Southeast region and the Daegyeong region had the greatest economic growth effect due to the growth of the land transportation industry in terms of value added, but the effect of the integrated region with the Chungcheong region was the least. In the case of capital such as roads, the integrated metropolitan regions with the Chungcheong region showed the greatest economic effect. However, the impact of the integrated regions with Jeolla region and the Seoul metropolitan region is insignificant. These results suggest that the synergy effect of metropolitan regional integration by spillover effect such as networks should be considered in the land transportation industry policy.

• The Journal of Sustainable Design and Educational Environment Research
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• v.3 no.2
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• pp.21-37
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• 2003

This study has the purpose for analysis of each region's property in order to plan a elementary school's space according to community property. For this analysis. we used classification method through classification analysis. classification analysis is one of the useful statistical analysis methode for determining each region's policy through classifying regions which have a similar property. On this study, Seoul and Kyongkido is classified by 4 groups and each group has a different community property. Such a analysis is thought of helping establishing the objective. reasonable space-plan through comparative analysis between subjective claim and objective state indicator of each region.

• Transactions of the Korean Society of Mechanical Engineers
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• v.18 no.3
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• pp.635-644
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• 1994

This study investigated mainly on the flow characteristics of a droplet in the cross region of twin spray. The velocities of the droplet were measured along the axial and radial direction, and the flow characteristics of the droplet were statistically analyzed. For the statistical analysis, the probability density of the turbulent components has been studied, and then the Reynolds shear stress, the skewness and the flatness factors were calculated, and compared with the Gaussian value. Two pressure swirl stomizers were used for the twin spray system and kerosene was employed as the working liquid. 2-D PDA(particle dynamic analyzer) was used for the purpose of the measurement of droplet size and velocities. As a result, it was found that (1) the droplets collision was taken place strongly in the cross region. So, a large momentum loss of droplets due to the loss of natural movement direction was occurred, and momentum loss of radial direction was greater than that of axial direction. (2) The axial direction skewness factor approached to zero like the Gaussian distribution in the cross region of twin spray. (3) In the cross region of twin spray, the fluctuation instability of droplet was increased because of the development of the turbulence characteristics due to the droplet collision.

• Animal cells and systems
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• v.4 no.1
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• pp.77-85
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• 2000

This study has demonstrated the molecular variation of 5S rRNA genes in 15 Allium subgenus Rhizirideum and 1 Allium subg. Allium. For cloning of the 5S rRNA genes, PCR products were obtained from amplification with oligonucleotide primers which were derived from the conserved coding region of 5S rRNA genes. These amplified PCR products were cloned and identified by FISH and sequence analysis. The 5S rRNA loci were primarily located on chromosomes 5 and/or 7 in diploid species and various chromosomes in alloploid species. The size of the coding region of 5S rRNA genes was 120 bp in all the species and the sequences were highly conserved within Allium species. The sizes of nontranscribed spacer (NTS) region were varied from 194 bp (A. dektiude-fustykisum, 2n=16) to 483 bp (A. sativum). Two kinds of NTS regions were observed in A. victorialis var. platyphyllum a diploid, A. wakegi an amphihaploid, A. sacculiferum, A. grayi, A. deltoide-fistulosum and A. wenescens all allotetraploids, while most diploid species showed only one NTS region. The species containing two components of NTS region were grouped with different diploid species in a phylogenetic tree analysis using the sequences of 5S rRNA genes and adjacent non-coding regions.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.37-43
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• 2022

In this paper, we calculate the word frequency by date and region using news data related to COVID-19 distributed for about 8 months from December 2019 to July 2020, and visualized the correlation with the current state data of COVID-19 patients using the results. News data was collected from Big Kids, a news big data system operated by the Korea Press Promotion Foundation. The visualization system proposed in this paper shows the news frequency of the selected region compared to the overall region, the key keyword of the selected region, the region of the main keyword, and the date change of the selected region. Through this visualization, the main keywords and trends of COVID-19 confirmed and infected people can be identified for previous events.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.7
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• pp.3319-3323
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• 2012

Objective: The results from the published studies on the association between prohibitin 3' untranslated region C > T gene polymorphism and cancer risk are conflicting. This meta-analysis was performed to evaluate the relationship with cancer susceptibility overall, and to explore whether the T allele or TT genotype could become a predictive marker for cancer risk. Methods: Association studies were identified from the databases of PubMed, Embase, and Cochrane Library as of March 1, 2012, and eligible investigations were synthesized using the meta-analysis method. Results were expressed with odds ratios (OR) for dichotomous data, and 95% confidence intervals (CI) were also calculated. Results: Six investigations were identified for the analysis of association between the prohibitin 3' untranslated region C > T gene polymorphism and cancer risk, covering of 1,461 patients with cancer and 1,197 controls. There was a positive association between the T allele and cancer susceptibility (OR=1.20, 95% CI: 1.03-1.39, P=0.02), and CC homozygous might play a protective role (OR=0.80, 95% CI: 0.68-6.11, P=0.95). In the sub-group analysis, prohibitin 3' untranslated region C > T gene polymorphism and cancer risk appeared associated with the risk of breast cancer, but not ovarian cancer. Conclusions: Our results indicate that T allele is a significant genetic molecular marker to predict cancer susceptibility and CC genotype is protective, especially for breast cancer. However, more investigations are required to further clarify the association of the prohibitin 3' untranslated region C > T gene polymorphism with cancer susceptibility.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.4
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• pp.211-223
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• 2012

This study purposed to evaluate the influences of rival hospitals on the number of patients who visited the a study territory hospital. Spatial analysis technique was used to measure the impact of rival hospitals in study region. Selected hospitals were all medical school affiliated hospitals which were located in Daejeon metropolitan city and Chungchungnamdo. Patient data was collected from the claims data of the study hospital, and the number of inpatient and outpatients who visited the study hospital between January and June in 2008 were calculated on the smallest administrative district, Eup, Myeon, and Dong, in study region. To control the differences of regional characteristics among Eup, Myeon, Dong, socio-economic variables (total population, number of people aged over 65, number of basic livelihood security recipients, distance from the study hospital to the centroid point of each Eup, Myeon, Dong, number of business, and number of employees) were included in analysis model. These variables were collected from the annual year book of city as well as county located in study region. Cluster analysis classified the study region into three groups by using the difference of between th actual number of inpatient/outpatient and the predicted number of inpatient/outpatient in Eup, Myeon, and Dong. Most areas around the rivalry hospitals were categorized into same group. Multiple regression analysis indicated that areas around rivalry hospitals had statistically significantly negative relationship with the number of inpatients and outpatients who visited the study hospital. As the buffer size was increased from 5Km to 10Km, the standardized regression coefficients were decreased. These study results confirmed that rivalry hospitals in region had negative impacts on the performance of hospitals. It suggests that hospitals will require not only to select their location to minimize the effects of rivalry hospitals, but also to establish their strategy to cope with the rivalry's threats in their region.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.4
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• pp.309-318
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• 2001

In this paper, we describe methods that analyze a human gesture. A human interface(HI) system for analyzing gesture extracts the head and hand regions after taking image sequence of and operators continuous behavior using CCD cameras. As gestures are accomplished with operators head and hands motion, we extract the head and hand regions to analyze gestures and calculate geometrical information of extracted skin regions. The analysis of head motion is possible by obtaining the face direction. We assume that head is ellipsoid with 3D coordinates to locate the face features likes eyes, nose and mouth on its surface. If was know the center of feature points, the angle of the center in the ellipsoid is the direction of the face. The hand region obtained from preprocessing is able to include hands as well as arms. For extracting only the hand region from preprocessing, we should find the wrist line to divide the hand and arm regions. After distinguishing the hand region by the wrist line, we model the hand region as an ellipse for the analysis of hand data. Also, the finger part is represented as a long and narrow shape. We extract hand information such as size, position, and shape.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.10
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• pp.1455-1460
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• 2014

Wind turbine generators were designed on general regulations of wind condition. At real situations, it could be different from the design conditions. There are many control methods and definitions of transient region, because an efficient wind turbine generator control logic is the important matter in generator performance and annual energy production at real conditions. In this document, the power generation sensitivity for wind speed and turbulence intensities was defined to know the sensitive transient region. Wind conditions are applied for the ranges of 7~10m/s mean wind speed and 14~20% turbulence intensity. The sensibility of HR-D86 wind generator was increased in transient region(8~10m/s) on power curve diagram through a torque control to a pitch control. And then GH-bladed simulations was performed for performance analysis of the torque mode switching in transient region on 2MW direct drive wind generator(HR-D86) which is designed IEC class II for onshore. Through the sensitivity and performance analysis, the sensitivity for real wind condition could be the performance index for an wind generator. And the torque mode switching in transient region can increase the mean power generation on HR-D86 wind turbine generator.

• Journal of the Korean Society of Hazard Mitigation
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• v.2 no.1 s.4
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• pp.161-167
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• 2002

Forest fire danger period in nine Provinces (Gangwondo, Kyonggido, Gyeongsangnamdo, Gyeongsangbukdo, Jeollanamdo, Jeollabukdo, Jejudo, Chungcheongnamdo, Chungcheongbukdo) has turned out to be similar to recognize whether there are some differences between each Provinces, we used correlation analysis with number of occurrence and damage area by an interval of ten-day period. Based on this analysis, there was significant numbers of occurrence at all areas wish serious burns except Gyeongsangnamdo and Jejudo Provinces. Since persuasive power is insufficient as danger period of forest fire applies equally to nine Provinces, statistical analysis using number of forest fire occurrence and burned area are executed. And then, a analysis of variance(ANOVA) test of significance by an interval of ten day period is carried out. As a result of this analysis, there showed significant at 1% level for number of occurrence except Jejudo, and is also showed significant at 1% level for burned area except Gangwondo and Chejudo. Through regional correlation analysis for danger period, we classified three parts of Middle region (Gangwondo, Kyonggido, Gyeongsangnamdo, Gyeongsangbukdo, Jeollabukdo, Chungcheongnamdo, Chungcheongbukdo) Southern region (Gyongsangnamdo, Jeollanamdo) and Jejudo region. With respect to forest fire occurrence time, Middle region showed from the middle of February to first of May that amounts to 81% of entire occurrence in this region, and Southern region begins with at the last of January to the middle of April covering 71%. In terms of forest fire burned areas, it appears at the middle of February to the first of May, occupying 98% in Middle region, and Southern region showed burned areas from the last of January to the middle of April amounting to 82% of total occurrences.