Jang Sung-Duck;Son Yoon-Kyoo;Kwon Sei-Jin;Oh Jong-Seok;Cho Moo-Hyun
The Transactions of the Korean Institute of Electrical Engineers C
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v.54
no.2
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pp.63-68
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2005
Total 12 units of high power klystron-modulator systems as microwave source are under operation for 2.5 GeV electron linear accelerator in Pohang Light Source (PLS) linac. The klystron-modulator system has an important role for the stable operation to improve an availability statistics of overall system performance of klystron-modulator system. RF power and beam power of klystron are precisely measured for the effective control of electron beam. A precise measurement and measurement equipment with good response characteristics are demanded for this. Input power of klystron is calculated from the applied voltage and the current on its cathode. Tiny measurement error severely effects RF output power value of klystron. Therefore, special care is needed to measure precise beam voltage. Capacitive voltage divider (CVD), which divides input voltage as capacitance ratio, is intended for the measurement of a beam voltage of 400 kV generated from the klystron-modulator system. Main parameter to determine standard capacitance in the high arm of CVD is dielectric constant of insulation oil. Therefore CVD should be designed to have a minimum capacitance variation due to voltage, frequency and temperature in the measurement range. This paper will be present and discuss the design concept and analysis of capacitive voltage divider for a pulsed high-voltage measurement, and the empirical relations between capacitance effects and oil temperature variation.
Journal of the Korean Data and Information Science Society
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v.25
no.2
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pp.365-371
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2014
Association rule of the well-studied techniques in data mining is the exploratory data analysis for understanding the relevance among the items in a huge database. This method has been used to find the relationship between each set of items based on the interestingness measures such as support, confidence, lift, similarity measures, etc. By typical association rule technique, we generate association rule that satisfy minimum support and confidence values. Support and confidence are the most frequently used, but they have the drawback that they can not determine the direction of the association because they have always positive values. In this paper, we compared support, basic confidence, and three kinds of confidence measures useful for classification model building to overcome this problem. The result confirmed that the causal confirmed confidence was the best confidence in view of the association mining because it showed more precisely the direction of association.
Spiritual health is an important indicator in the quality of life of patients with cancer. The purpose of this study was to validate a Spiritual Health Inventory (SHI) for patients with cancer developed by Highfield (1989). The SHI was translated into Korean, back-translated into English. The study sample was 96 patients with cancer. The data were collected from September, 1999 to February, 2000 for 6 months. Statistic analysis was done with the SPSS PC+ (Version 10.0) program: descriptive statistics, factor analysis, Pearson correlation coefficient, and one-way ANOVA. The results are as follows : 1. The reliability score was examined using Cronbach's ${\alpha}$ and found to be .79. 2. Construct validity was examined using factor analysis. Four factors were identified and named : (1) Peace of mind (19.1% of variance), (2) Hope (9.7%), (3) Self-esteem (6.4%), (4) Trust (6.0%). The total of 41.2 percent of the variance. 3. The Pearson correlation coefficient score of 4 factors was between r = .24~ .42. 4. SHI was identified as multidimension, that is (1) The relationship with GOD, as absolute being, (2) the relationship with others, (3) the relationship within oneself. 5. There were differences in response in items especially related to GOD. The following recommendations can be made on the above findings : 1. Replicate with a minimum sample of 150 and test for concurrent validity. 2. Since spirituality is a dynamic concept, longitudinal study is also necessary. 3. Concept analysis using a qualitative study based on religious preference is recommended. 4. The items such as 12, 13, 15, 17, 19, 22, 24, 26 indicated conceptual ambiguity for Korean populations and further study is needed on item deletion or new items.
This study was undertaken to examine the degree of knowledge and compliance of breast self-examination with women. The subjects for this study were 474 women aged 35-65 receiving health examination from Yonsu-ku Public Health Service Center in Inchon. Data collection was conducted through the use of 2 questionnaires. Analysis of the data was done by used of descriptive statistics, t-test, ANOVA, and Pearson Product Moment Correlation Coefficient. The results of this study were as follows: 1. There were significant differences in the breast self-examination compliance rate according to age(F=5.82, p=.000), marital status(F=2.67, p=.047), educational level (F=5.83, p=.000) and household income (F=3.41, p=.018). 2. The correct answer rate for each items of breast self-examination knowledge scale was between 14.1% of a minimum rate and 65.0% for a maximum rate of 100. The degree of knowledge for relation of breast cancer and menopause, the time of the highest occurance of breast cancer, the best time of breast self-examination and inspection methods of breast self-examination shows relatively low understanding. 3. The average score of breast self-examination was 1.34 from a maximum score of 6. The score of breast self-examination with palpation methods was higher than with inspection methods. 4. A positive correlation was found between breast self-examination knowledge and compliance rate (r=.417, p=.001). According to the results, it is necessary to provide knowledge of the relationship of breast cancer and menopause, the time of the highest occurance of breast cancer, and the best time of breast self-examination and inspection methods of breast self-examination. Also, it is necessary to provide detail guidance for inspection methods and develop a program for promoting the compliance of breast self-examination.
BACKGROUND/OBJECTIVES: Low consumption of fruit and vegetable is frequently viewed as an important contributor to obesity risk. With increasing childhood obesity and relatively low fruit and vegetable consumption among Thai children, there is a need to identify the determinants of the intake to promote fruit and vegetable consumption effectively. SUBJECTS/METHODS: This cross-sectional study was conducted at two conveniently selected primary schools in Nakhon Pathom. A total of 609 students (grade 4-6) completed questionnaires on personal and environmental factors. Adequate fruit and vegetable intakes were defined as a minimum of three servings of fruit or vegetable daily, and adequate total intake as at least 6 serves of fruit and vegetable daily. Data were analyzed using descriptive statistics, the chi-square test, and multiple logistic regression. RESULTS: The proportion of children with a sufficient fruit and/or vegetable intakes was low. Covariates of child's personal and environmental factors showed significant associations with sufficient intakes of fruit and/or vegetable (P < 0.05). Logistic regression analyses showed that the following factors were positively related to sufficient intake of vegetable; lower grade, a positive attitude toward vegetable, and fruit availability at home; and that greater maternal education, a positive child's attitude toward vegetable, and fruit availability at home were significantly associated with sufficient consumption of fruits and total fruit and vegetable intake. CONCLUSIONS: The present study showed that personal factors like attitude toward vegetables and socio-environmental factors, such as, greater availability of fruits were significantly associated with sufficient fruit and vegetable consumption. The importance of environmental and personal factors to successful nutrition highlights the importance of involving parents and schools.
The purpose of this study was to analyze the financial status of Korean elderly households to make a financial plan for retirement preparation. The sample obtained from 1997 KHPS, consisted of 326 households of 55-64 aged and 210 households of 65 and over aged. Statistics employed for the analysis were frequencies, percentile, univariate analysis and logistic analysis. And Lorenz curve and Gini coefficient were used to compare the financial status. The results could be summarized as follows. First, total income, total expenditure, total debt and net worth of 55-64 aged group were higher than those of 65 and over group, while total asset of 55-64 aged group was similar to 65 and over group's Second, total expediture to total imcome ratio(R1) and total asset to total debt ratio(R4) of 55-64 aged group were higher than 65 and over group's, but net worth to minimum cost of living ratio(R2) and financial asset to monthly expenditure ratio(R3) of 65 and over group were higher than 55-64 aged group's . Third, R4's Gini coefficient was the highest and R1's Gini coefficient was the lowest among all Gini coefficients. Also, R1's and R4's Gini coefficients of 55-64 aged group were greater than 65 and over group's. ourth, variables affecting R1's stability of 55-64 aged group were household head's age, educatonal attainment and family type, while those of 65 and over group were household head's age, past economic experience and the number of children. There was no significant variable affecting R2's stability of 55-64 aged group, but there was only household head's pst economic experience affecting those of 65 and over group. The variable contributing to R3's stability of 55-64 aged group was residence while the variables of 65 and over group were household head's educational attainment, past economic experience and the number of children. The variables contributing to R4's stability of 55-64 aged group were the number of children and residence, and the number of children was one variable of contributing to R4's stability of 65 and over aged group.
The objective of this study is to test the applicability of SLURP (Semi-distributed Land Use-based Runoff Process) on Soyanggang-dam watershed. SLURP model is a conceptual semi-distributed form model that can be used to examine irrigation plan and the effects of proposed changes in water management within a basin or to see what effects external factors such as climate change or changing land cover might have on various water users. Topographical parameters were derived from DEM using TOPAZ and SLURPAZ. Monthly NDVIs were calculated from multi-temporal NOAA/AVHRR images during four years (1998 ∼ 2001). Weather elements (dew-point temperature, solar radiation, maximum/minimum temperature and relative humidify) were obtained from five meteorological stations within and near the study area. To simulate daily hydrograph during 1998 ∼ 2001, the model parameters of each land cover class were optimized by sensitivity analysis and SCE-UA method. Test result of SLURP was summarized by various statistics method (WMO volume error, Nash-Sutcliffe efficiency, mean error and coefficient of variation).
Journal of Korean Society of Environmental Engineers
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v.34
no.5
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pp.295-303
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2012
Removal of total nitrogen (T-N) and total phosphorus (T-P) was evaluated in a DEPHANOX process by adding Al(III) to the separator to maintain T-P in the final effluent below 0.2 mg/L. pH in each reactor was maintained 7~8 after addition of Al(III) to the levels of 5, 10, 15 mg/L. The removal efficiency of COD and T-N decreased at higher Al(III) dose, but T-P removal efficiency increased from 76.28 to 84.02, 94.66% at Al(III) dose of 5, 10, 15 mg/L, respectively. T-P in effluent showed 0.17 mg/L at Al(III) dose of 15 mg/L. Minimum 15 mg/L of Al(III) was required to maitain T-P below 0.2 mg/L in the final effluent.
Proceedings of the Plant Resources Society of Korea Conference
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2018.04a
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pp.16-16
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2018
Flora investigations have been conducted by many researchers for a long time in Korea. Even though large amount of investigation data has been accumulated, there is no accurate statistics or database because most of data were published in a printed form. We developed a web-based database of flora investigation, named as the Integrated Korean Flora Database (http://www.floradb.net/) to understand distribution patterns and habitats of plants in Korea. Till now, 480 published paper, 356 thesis, 76 reports and books, and 8 unpublished papers written in between 1962 and 2017 were collected and their species lists from 280 papers were parsed into the database. From 124,105 records, 3,100 species belonging to 206 families and 965 genera were identified via comparing with two major Korean plant species lists. 55 endangered species, 159 endemic species, and 367 rare species were identified. The most frequently surveyed species were Commelina communis in herbaceous and Rosa multiflora in woody plants. Microclimate data provided by Korea Meteorological Administration were also integrated and analyzed to assign cold hardness zones for each species. By comparing minimum temperature (<2%) acquired from automated weather stations (AWS) near by plant species, 6a to 10b zones (7b is the most frequent zone) were identified. Integrated Korean Flora Database will be a fundamental platform of korea flora investigation as well as a new standard for classifying distribution of plants based on accurate microclimate data. Moreover, it can also provide evidences of investigated plant species, such as specimen and/or pictures with connecting to the InfoBoss Cyber Herbarium (http://herbarium.infoboss. co.kr/) and Biodiversity Observation Datbase (BODB; http://www.biodiversitydb.org/).
Jo, Myung-Hee;Bu, Ki-Dong;Lee, Jung-Hyoup;Lee, Kwang-Jae
Journal of the Korean Association of Geographic Information Studies
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v.3
no.4
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pp.73-86
/
2000
This study focused on extracting an efficient method in the fruit cropping distribution mapping with various classification methods using multi-temporal satellite images and Geographic Information Systems(GIS). For this study, multi-temporal Landsat TM images, in observation data and existing fruit cropping area statistics were used to compare and analyze the properties of fruit cropping and seasonal distribution per classification method. As a result, this study concludes that Maximum Likelihood Method with earlier autumn satellite image was most efficient for the fruit cropping mapping using Landsat TM image. In addition, it was clarified that cropping area per administrative boundary was prepared and distribution pattern was identified efficiently using GIS spatial analysis.
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