• Spatial Information Research
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• v.11 no.4
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• pp.493-508
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• 2003

This study proposes a framework of a GIS service network to connect local governments'Land Management Information Systems(LMIS) together. Databases constructed far LMIS's are very crucial information on both administrative business and civil affairs administration. However, they did not give full play to their values because they could not be shared sufficiently. Local governments build their databases individually using diverse GIS solutions. It causes some problems on sharing them. To demonstrate their geniuses, they should be connected to each other within a network for the whole country, and are served whenever and wherever to people who require them. for this, there are two main problems to be solved. Firstly, a GIS service network that handles heterogeneous and distributed computing environments is organized to link every LMIS each other by the GIS service network vertically and horizontally. Secondly, a mechanism should be developed to access the GIS service network readily and to search GIS data efficiently. The needs from every types of user should be satisfied by the mechanism. As the result of investigation of the issues, one of the most possible solution was suggested in this study, which is a Web based approach. To take into account the advance of information technology in the future and the requirements of e-government, stepwise strategies that integrate the LMIS's into a Web based system was recommended.

• Research in Community and Public Health Nursing
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• v.27 no.4
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• pp.370-379
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• 2016

Purpose: The aim of this study was to evaluate the level of self-care adherence in the elderly with diabetes mellitus (DM) who have lived alone, and to investigate the association between health literacy, diabetic knowledge and self-care adherence. Methods: Descriptive research using the cross-sectional approach was conducted. Data was collected by using a convenience sampling of 201 participants who aged sixty-five years old or more and have lived alone. Statistical analysis was conducted by using an independent t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficient and stepwise multiple regression analysis. Results: Mean scores of health literacy, diabetic knowledge and adherence of self-care were $4.41{\pm}3.54$ points out of a possible $12, 6.22{\pm}2.55$ points out of a possible $15, 58.56{\pm}17.28$ points out of a possible 112, respectively. Adherence of self-care showed a statistical association with health literacy (r=.26, p<.001) and diabetic knowledge (r=.30, p<.001). Statistically significant factors in the regression model were monthly income, diabetic knowledge and exercise. Conclusion: The level of self-care adherence in the elderly with diabetes living alone was relatively low. Diabetic knowledge was an important factor to improve the level of self-care adherence for the elderly with diabetes living alone.

• Korean Journal of Adult Nursing
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• v.19 no.2
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• pp.283-294
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• 2007

Purpose: The purpose of this study was to identify predictors of cardiovascular risk factors of type 2 diabetic patients. Methods: Diabetic patients (N=160) were interviewed from November, 2003 to June, 2004. The 24 hour dietary recall, the International Physical Activity Questionnaire, the Diabetes Management Self-Efficacy Scale for patient with Type 2 diabetes, the Revised Summary of Diabetes Self-Care Activities Measure Scale and Parma Cardiovascular Risk Index were used to measure the predictors. Data were analyzed by descriptive analyses, Pearson correlation coefficients, and stepwise multiple regression using the SPSS WIN 10.0. Results: Mean dietary intakes of the participants were protein(P) of 64.5g, carbohydrate(C) of 280.74g, fat(F) of 30g, and calcium of 511.45mg. The ratio of CPF was 75:17:8. About 45% of the participants didn't exercise on a regular basis. The levels of self-efficacy, self-care, and cardiovascular risk factors of the participants were moderate. Self-efficacy was the most important predictor of cardiovascular risk factors along with self-care, exercising for more than 6 months, carbohydrate intakes and levels of physical activities. Conclusion: The findings of the study suggest that intervention programs increasing self-efficacy on diabetic management would be more beneficial than the fractional approach focusing only on diet or physical activities.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6561-6568
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• 2015

Background: Smokeless tobacco (SLT) has long been realized as an important component of the fight for global tobacco control. It still remains a major problem in countries like India, Bangladesh and Nepal. The objective of this study was to estimate the trends of SLT use in three countries of the SEARO WHO office. Materials and Methods: We used data from national surveys in three countries (Bangladesh, India and Nepal) to estimate trends in prevalence of current SLT use. All available nationally representative data sources were used. Estimates were weighted, age standardized and given along with 95% confidence intervals. Significance of linear trend in prevalence over time was tested using the Cochrane-Armitage test for trend. A p value of less than 0.05 was considered statistically significant. Results: We identified three surveys for Bangladesh, three for India and four for Nepal that met the selection criteria (such as Demographic and Health Surveys, WHO-STEPwise approach to Surveillance and Global Adult Tobacco Surveys). A significantly increasing trend was noticed in the prevalence of current SLT use among Bangladeshi men (20.2% to 23%, p=0.03). In India, a similar significantly increasing trend was seen among men (27.1% to 33.4%, p<0.001) and women (10.1% to 15.7%, p<0.001). In Nepal, there was a no significant trend among both men (39.1% to 31.6%, p=0.11) and women (5.6% to 4.7%, p=0.49). Conclusions: In the study countries SLT use has remained at alarmingly high levels. Usage trends do not show any signs of decline in spite of control efforts. Tobacco control measures should focus more on controlling SLT use.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.723-730
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• 2003

In general, well log and core data have been utilized for reservoir characterization. These well data can provide valuable information on reservoir properties with high vertical resolution at well locations. While the seismic surveys cover large areas of field but give only indirect features about reservoir properties. Therefore it is possible to estimate the reservoir properties guided by seismic data on entire area if a relationship of seismic data and well data can be defined. Seismic attributes calculated from seismic surveys contain the particular reservoir features, so that they should be extracted and used properly according to the purpose of study. The method to select the suitable seismic attributes among enormous ones is needed. The stepwise regression and fuzzy curve analysis based on fuzzy logics are used for selecting the best attributes. The relationship can be utilized to estimate reservoir properties derived from seismic attributes. This methodology is applied to a synthetic seismogram and a sonic log acquired from velocity model. Seismic attributes calculated from the seismic data are reflection strength, instantaneous phase, instantaneous frequency and pseudo sonic logging data as well as seismic trace. The fuzzy curve analysis is used for choosing the best seismic attributes compared to sonic log as well data, so that seismic trace, reflection strength, instantaneous frequency, and pseudo sonic logging data are selected. The relationship between the seismic attribute and well data is found out by the statistical regression method and estimates the reliable well data at a specific field location derived from only seismic attributes. For a future work in this study, the methodology should be checked an applicability of the real fields with more complex and various reservoir features.

• Journal of KIISE
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• v.43 no.8
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• pp.857-868
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• 2016

With changing software industry structure, the emerging concept called Software Ecosystems (SECO) has various challenges that software engineers have to overcome. In market-driven software product development, they should have the capability to offer high value products to their own business and their customers in order to being competitive. Each stakeholder's perspectives and interests should be reconciled in terms of requirements so that engineers can offer high value products through requirements selection. Existing works have just mentioned the need of requirements negotiation between stakeholders without proposing detailed guidelines or practice. In this work, a systematic Requirements Negotiation process is proposed to resolve conflicts of interests of stakeholders in SECO. The interests of stakeholders are analyzed based on goal-based requirements engineering. The rationale of requirements conflict is structured for management. A stepwise requirements negotiation process aims at resolving requirements conflict by applying game theory concepts based on self-interested behaviors of stakeholders.

• Korean Journal of Health Education and Promotion
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• v.14 no.2
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• pp.125-147
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• 1997

This study was conducted in order to identify the extent to which Health Belief Model (HBM) constructs explain the likelihood of taking preventive behaviors for AIDS among the young adolescents in Korea. HBM was applied as the theoretical framework for developing questionnaire items in this study. The survey instrument included all of the constructs of Health Belief Model, namely, perceived susceptibility, perceived severity, perceived benefit, perceived barriers, cue to actions for preventive behaviors concerning AIDS. Additionally, demographic characteristics of the respondents, their sexual experiences, and AIDS Knowledge Test were included in the study. Each of HBM constructs were developed with a 5-point Likert type scale from l(never agree) to 5 (absolutely agree). The survey was conducted with a total of 247 military men in a city on September 18, 1996, using self-reported questionnaire. The results of the study were summarized as follows: 1. Because the subjects for this study were military soldiers, their demographic characteristics were limited to all men, young age, and ummarried. Educational status was evenly distributed between high school graduates and university students. 2. On the average, the respondents started their first sexual relationship at 18 years old and 82.6% of them did not use condom when having their first sexual experience. Thirty-one percent of the subjects had sexual contact with prostitutes and the average number of sexual contact with prostitutes was 5 times during the past 2 years. 3. The results of AIDS Knowledge Test scores demonstrated that the respondents had a high level of knowledge about AIDS. However, some misconceptions about transmission of AIDS through casual contact were still prevailed. Sixty-six percent of the respondents expressed that people infected with HIV should be isolated from the society in order to protect the general public. 4. All the respondents expressed that they had heard about AIDS before. TV was found to be the source which provided information on AIDS most frequently. 5. Among fundamental constructs of Health Belief Model, scores of perceived benefit of taking preventive action against AIDS marked the highest score, while scores of perceived susceptibility were the lowest. As a result of Multiple Stepwise Regression analysis, 13 variable groups were found to predict the preventive action by 25%. Among them, only perceived benefit variables was the most significant factor to explain preventive behaviors by 17%.

• Perspectives in Nursing Science
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• v.12 no.1
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• pp.50-59
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• 2015

Purpose: The purpose of this study was to investigate the influencing factors on the quality of life of elders. Methods: Data were collected from August 25, September 1, 2014, and participants were 300 elders who were using senior welfare centers. Descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficient, and stepwise multiple regression were used for data analysis. Results: Elders who were more painful, highly perceived health status, self-esteem and social support, and lower depression showed relatively higher quality of life. Also, there were strong correlations between quality of life and depression (r=-.737) /perceived health status (r=.709). Factors predicted quality of life of elders were perceived health status (${\beta}=.349$), depression (${\beta}=-.267$), social support (${\beta}=.172$), self-esteem (${\beta}=.170$), pain (${\beta}=-.130$), income (${\beta}=.113$), and level of education (${\beta}=.064$). These 7 factors explained 78.2% of the variance in quality of life of elders (F=154.49, p<.001). Conclusion: Therefore, in order to improve the quality of life of elders, a systematic approach is necessary through multilateral cooperation among comprehensive sectors.

• The Journal of the Petrological Society of Korea
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• v.14 no.1
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• pp.73-81
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• 2005

K-Ar ages have been determined for the submarine basalts dredged from the P2 and P3 segments of the Phoenix Ridge, Drake Passage, Antarctica, for better understanding on the extinction of seafloor spreading. At the P3 segment, the K-Ar ages of the rifted ridge basalts are 3.5-6.4 Ma, and those for the axial seamount basalts are 1.5-3.1 Ma. The K-Ar ages for the basalts at the rifted ridge and axial central high in the P2 segment are 2.1 and 1.4-1.9 Ma, respectively. We suggest that the extinction of seafloor spreading at the P3 and P2 segments occurred at 3.3 and 2.0 Ma, respectively, on the basis of ridge structure and formation time of basalts. This result favors a stepwise extinction model rather than a simultaneous one on the extinction of the Phoenix Ridge.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.11
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• pp.1681-1689
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• 2010

Several studies on the use of Support Vector Machines (SVMs) for diagnosing rotating machinery have been successfully carried out, but the fault classification depends on the input features as well as a multi-classification scheme, binary optimizer, kernel function, and the parameter to be used in the kernel function. Most of the published papers on multiclass SVM applications report the use of the same features to classify the faults. In this study, simple statistical features are determined on the basis of time domain vibration signals for various fault conditions, and the optimal features for each fault condition are selected. Then, the optimal features are used in the SVM training and in the classification of each fault condition. Simulation results using experimental data show that the results of the proposed stepwise classification approach with a relatively short training time are comparable to those for a single multi-class SVM.