• Journal of the Korean Society of Radiology
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• v.13 no.7
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• pp.1035-1043
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• 2019

The object of is this research is to find out the optimal Tesla by evaluating SNR and CNR, after testing 1.5 T and 3.0 T. The randomly selected patients tested by nasopharynx MRI transmitted in PACS were applied to the research. Two MRI units(1.5 T, 3.0 T) was used for analyzing the data. As a method of analysis, in T1W highlighting and T1 fat removal images, we set up a certain area of interest and evaluated the SNR and CNR on tongue, spinal cord, masseter muscle, fat, parotid gland, and tumor tissue. We evaluated the SNR and CNR by quantitative analysis of six tissue, measuring the quality of images for uniform fat removal, magnetic sensitivity artifact on a four-point scale by qualitative analysis. The statistical significance of this date analysis was based on independent sample verification and was accepted when the P value was less than 0.05. As a result of analysis of both devices, 3.0 T was high in the quantitative evaluation, while 1.5 T was high in the qualitative evaluation. Considering the advantages and disadvantages of each device, and if the device is selected complementarily and applied to patients, it is believed that it will provide the optimal information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.480-488
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• 2018

The development of information and communication technology has been carried out actively in the field of agriculture to generate valuable information from large amounts of data and apply big data technology to utilize it. Crops and their varieties are determined by the influence of the natural environment such as temperature, precipitation, and sunshine hours. This paper derives the climatic factors affecting the production of crops using the garlic growth process and daily meteorological variables. A prediction model was also developed for the production of garlic per unit area. A big data analysis technique considering the growth stage of garlic was used. In the exploratory data analysis process, various agricultural production data, such as the production volume, wholesale market load, and growth data were provided from the National Statistical Office, the Rural Development Administration, and Korea Rural Economic Institute. Various meteorological data, such as AWS, ASOS, and special status data, were collected and utilized from the Korea Meteorological Agency. The correlation analysis process was designed by comparing the prediction power of the models and fitness of models derived from the variable selection, candidate model derivation, model diagnosis, and scenario prediction. Numerous weather factor variables were selected as descriptive variables by factor analysis to reduce the dimensions. Using this method, it was possible to effectively control the multicollinearity and low degree of freedom that can occur in regression analysis and improve the fitness and predictive power of regression analysis.

• Journal of the Korean Society of Radiology
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• v.11 no.6
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• pp.475-481
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• 2017

As the research about supplementary education of radiological technologist who works in Gyoungsangnam province, this study was conducted to draw the improvements by analyzing the satisfaction level and problems of the supplementary education. During November 01, 2016 to December 15, 2016, after we sent out a total of 250 questionnaires for the survey to radiological technologists working at medical institution located in Gyoungsangnam province, 200 questionnaires suitable for research were analysis by using SPSS 18.0 statistical analysis software. As the satisfaction factors, 21 items such as system, subject, help, appropriateness of lecturer selection, professionalism were used. And as the problem factors, 18 items such as place, transportation, diversity, administrative treatment, education promotion, proceed method were used. Consequentially, the satisfaction level(3.12 point) and problems(3.01 point) of the supplementary education were confirmed as normal level. The supplementary education is an essential education that any health and medical service personnel must complete. In order to improve the effectiveness and efficaciousness of the education, the diverse opinions and efforts to improve the education levels must be supported. Futhermore, through the realistic educational program, the continuous education for radiological technologist with excellent qualities and competence should be done.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.2
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• pp.132-146
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• 2001

Purpose: This study was to analyze the trends and content of all the research (171 research papers) published in the Journal of Fundamentals of Nursing from 1994, when it began to 2000 using an objective tool developed by the researches, and to identify the direction for the future research in Fundamentals of Nursing. Method: Research published in the Journal of Fundamentals of Nursing from 1994 were reviewed. Result: Most of research (94.2%) was non-degree based and funded research was very limited. The average number of researchers per research study was 2.2 and collaborative research has been gradually increasing. The total number of key words was 331 and the average was 2.6 per research. The major key words were not different from other nursing departments and included home care nursing (10 times), health promotion (8 times), self-care (7 times). self-efficacy (7 times), and homo-dialysis (6 times). Eighty seven percent of the research was quantitative research. and there were very few qualitative studies. Considering theory level, it was found that 40% were factor related research For study design, non-experimental studies were most frequent (66%), and the rate, especially of surveys, has remarkably decreased. Selection of subjects by convenience sampling, was most frequent and there were very few studies that provided the rationale for the calculation of sample size. The major subjects of study were patients (44.8%) with various diagnoses. The subjects usually gave oral consent to take part in that study. Giving information (46.9%) and exercise (26.5%) were common nursing interventions, and physiological indices (16.5%). vital signs (10.3%), physical functioning (8.2%), level of knowledge/skill (7.2%) and level of activity (6.2%) were frequently measured as outcome. Variables questionnaires were the major approach used to collect data, and 57.8% of the research provided the Cronbach alpha to guarantee internal consistency of study instruments. Data were analyzed with computerized statistical packages using, ANOVA (42.0%), T test(39.5%), and chi-square test. For the last seven years, nursing research in Fundamentals of Nursing has gradually improved in both quantify and quality. Conclusion: It was difficult to find any uniqueness or difference compared to other departments of nursing. In fact, because the history of the Journal of Fundamentals of Nursing is rather short, we can expect that there will be further improvement in qualify and content in the future.

• Journal of Animal Science and Technology
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• v.52 no.5
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• pp.357-366
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• 2010

The emergence of next-generation sequencing technologies has lead to application of new computational and statistical methodologies that allow incorporating genetic information from entire genomes of many individuals composing the population. For example, using single-nucleotide polymorphisms (SNP) obtained from whole genome amplification platforms such as the Ilummina BovineSNP50 chip, many researchers are actively engaged in the genetic evaluation of cattle livestock using whole genome relationship analyses. In this study, we estimated the genomic relationship matrix (GRM) and compared it with one computed using a pedigree relationship matrix (PRM) using a population of Hanwoo. This project is a preliminary study that will eventually include future work on genomic selection and prediction. Data used in this study were obtained from 187 blood samples consisting of the progeny of 20 young bulls collected after parentage testing from the Hanwoo improvement center, National Agriculture Cooperative Federation as well as 103 blood samples from the progeny of 12 proven bulls collected from farms around the Kyong-buk area in South Korea. The data set was divided into two cases for analysis. In the first case missing genotypes were included. In the second case missing genotypes were excluded. The effect of missing genotypes on the accuracy of genomic relationship estimation was investigated. Estimation of relationships using genomic information was also carried out chromosome by chromosome for whole genomic SNP markers based on the regression method using allele frequencies across loci. The average correlation coefficient and standard deviation between relationships using pedigree information and chromosomal genomic information using data which was verified using a parentage test andeliminated missing genotypes was $0.81{\pm}0.04$ and their correlation coefficient when using whole genomic information was 0.98, which was higher. Variation in relationships between non-inbred half sibs was $0.22{\pm}0.17$ on chromosomal and $0.22{\pm}0.04$ on whole genomic SNP markers. The variations were larger and unusual values were observed when non-parentage test data were included. So, relationship matrix by genomic information can be useful for genetic evaluation of animal breeding.

• The Korean Journal of Applied Statistics
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• v.33 no.3
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• pp.321-334
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• 2020

The US Federal Reserve (Fed) has decided to cut interest rates. When we look at the expression of the FOMC statements at the time of policy change period we can understand that Fed has been communicating with markets through a change of word selection. However, there is a criticism that the method of analyzing the expression of the decision sentence through the context can be subjective and limited in qualitative analysis. In this paper, we evaluate the signaling effect of FOMC statements based on previous research. We analyze decision making characteristics from the viewpoint of text mining and try to predict future policy trend changes by capturing changes in expressions between statements. For this purpose, a decision tree and neural network models are used. As a result of the analysis, it can be judged that the discrepancy indicators between statements could be used to predict the policy change in the future and that the US Federal Reserve has systematically implemented policy signaling through the policy statements.

• Journal of Chest Surgery
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• v.33 no.9
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• pp.716-722
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• 2000

Background: Modified Blalock-Taussig shunt using 3mm or 3.5mm PTFE graft has been performed in patients with small body weight or in candidates for single ventricle palliation. However, there are few reports concerning clinical outcomes in terms of pulmonary artery growth and shunt patency rate after shunt operations using such a small graft. Material and Method: Twenty-five patients rate after shunt operations using 3 or 3.5 mm sized grafts from September 1996 to August 1999. We retrospectively assessed the pulmonary artery growth and the shunt patency rate by reviewing the pre-and post-operative pulmonary angiograms. The risk factors for late death and second shunt operations were also analyzed. To assess the presence of any correlation between body weight and selection of the graft size, regression analysis was done in 81 cases of shunt operations performed during the same period. Result: There were 1(4%) early death and 5(20%) late deaths. The survivors were followed up for an average of 7.34 months. The pulmonary artery index increased significantly from 129$\pm$66$\textrm{mm}^2$/$m^2$ to 213$\pm$114 $\textrm{mm}^2$/$m^2$(p=0.002). The shunt patency rate assessed at postoperative 2, 4, 6 and 8 months were 82.5%, 77%, 73% and 42% respectively with a marked decline between 6 and 8 months. Asplenia was a frequent finding for the patients with late death although the incidence failed to reach statistical significance(p=0.078). Pre-operative diagnosis of PA with VSD was found to be a statistically significant risk factor for a second shunt operation(p=0.01). Body weight(a) at operation and graft size(b) used in the shunt operations revealed strong correlation and could be expressed by the following formula; b=0.128a + 3.233. Conclusion: Adequate growth of pulmonary artery and satisfactory early patency rate could be obtained by modified Blalock-Taussing shunt using 3mm or 3.5mm graft. However, during 6 to 8 months after shunt operations, the patency rate fell sharply, which implicates that close observation and early intervention are mandatory in this period.

• Journal of Korea Water Resources Association
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• v.40 no.3
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• pp.205-214
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• 2007

The objective of this study is to generate the regional scale runoff scenarios by using IPCC SRES A2 climate change scenario for analyzing the spatial variation of water resources in Korea. The PRMS model was adopted to simulate long-term stream discharge. To estimate the PRMS model parameters on each sub-basin, the streamflow data at 6 dam sites and Rosenbrock's scheme are used for model parameter calibration and those parameters are translated to ungauged catchments by regionalization method. The other 3 dam sites are selected for the verification of the adequateness of regionalized model parameters in ungagued catchments. The statistical results show that the simulated flows by using regionalized parameters well agree with observed ones. The generated runoff scenarios by climate change are compared with observed data on 4 dam sites for the reference period. The consequences show that the selection of climate station for generating climate scenario affects the reliability of climate scenario at sub-basin. The comparison results of the stream flows between the 30-year baseline period (1971-2000) and future 90-year (2001-2030, 2031-2060, 2061-2090) show that the long-term mean annual runoff in the Han River has increasing trend, while the Nakdong, the Gum, the Youngsan and the Sumjin Rivers have decreasing trend.

• Atmosphere
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• v.16 no.1
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• pp.19-31
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• 2006

The purpose of this study is to develop the statistical model to predict sea level pressure of typhoon period in south coast of the Korean Peninsula. Seven typhoons, which struck south coast of the Korean Peninsula, are selected for this study, and the data for analysis include the central pressure and location of typhoon, and sea level pressure and location of 19 observing site. Models employed in this study are the first order regression, the second order regression and the neural network. The dependent variable of each model is a 3-hr interval sea level pressure at each station. The cause variables are the central pressure of typhoon, distance between typhoon center and observing site, and sea level pressure of 3 hrs before, whereas the indicative variable reveals whether it is before or after typhoon passing. The data are classified into two groups - one is the full data obtained during typhoon period and the other is the data that sea level pressure is less than 1000 hPa. The stepwise selection method is used in the regression model while the node number is selected in the neural network by the Schwarz's Bayesian Criterion. The performance of each model is compared in terms of the root-mean square error. It turns out that the neural network shows better performance than other models, and the case using the full data produces similar or better results than the case using the other data.

• Korean Journal of Human Ecology
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• v.10 no.4
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• pp.399-409
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• 2001

The purpose of this study was to evaluate the preference of image for modern application of Korean traditional patterns. A survey was conducted using the random selection among female undergraduate students in Daegu city. The degree of interest and preference in Korean traditional style or something like that measured by 5 scale method. And then they were classified into two groups which were interest/non-interest group, and preference/non-preference group. The image of Korean traditional patterns consisted of semantic differential scales. Frequency, percentage and mean were analyzed, for difference of groups t-test was analyzed. The results were as fellows; 1. For the degree of interest for Korean traditional patterns, it was showed that 53.8% of total respondents took interest and about 40.4% of them had preference for traditional patterns. the correlation coefficient of the degree of interest and preference was 0.782(p<0.01) and showed that the positive correlation was high. 2. Among 20 kinds of Korean traditional patterns, the degree of preference for the patterns of plants and nature was quite high whereas that for the patterns of geometrical things was low relatively. 3. It was evaluated that pattern of nature was fresh, refined and womanly image generally. It was evaluated that pattern of plants was womanly, fresh, weak, light and soft image and that of animals was heavy, splendid, high-class, manly, strong and positive image. It was evaluated that pattern of geometrical things was the most refined image and high-class, rigid and strong. 4. The statistical significance of mean between interest/non-interest group was showed statistically in the patterns of clouds, mountains, lotus, apricot, orchid, dragon, phoenix and bogey. In case of pattern of orchids, the degree of preference was most different between interest/non-interest group. 5. The pattern of plants showed the most different evaluation for images between interest/non-interest group. For refined/old-fashioned polar adjective images, the interest group evaluated the pattern of plants more refined. 6. For pattern of orchids, the difference of degree of preference between preference/non-preference group was most remarkable in Korean traditional patterns. 7. The pattern of geometrical things showed the most different evaluation for images between preference/non-preference group. For warm/cool polar adjective images, the preference group evaluated the pattern of geometrical things cooler.