• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.318-327
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• 2010

The purpose of this study is to analysis of subjective well-being in the affects university life adaptation of department security programs in university. The subjects in this study were randomly sampled in Kyeong gi do in areas and 332 of department security programs student in university were finally selected. Analyses made by SPSS 17.0 have been applied to following outcomes. The findings of the study were as follows: First, The external situation and psychological physical which is a university life adaptation lower part variable in life satisfaction appeared with positive effects. The qualitative of education which is a university life adaptation lower part variable in life satisfaction appeared with negative effects. Second, The external situation and psychological physical which is a university life adaptation lower part variable in negative emotion appeared with positive effects. The qualitative of education which is a university life adaptation lower part variable in negative emotion appeared with negative effects. Third, The psychological physical which is a university life adaptation lower part variable in positive emotion appeared with positive effects. Fourth, The external situation and psychological physical which is a university life adaptation lower part variable in happy appeared with positive effects. The university study of education which is a university life adaptation lower part variable in happy appeared with negative effects.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.129-136
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• 2021

This study aims to verify the influence of married men in their 30s and 40s on smartphone addiction, the mediating effect of depression, and the moderating effect according to age. To this end, samples were set up as a convenient sampling for married men in their 30s and 40s living in the Seoul, Gyeonggi, Incheon metropolitan. To verify the influence relationship, mediating effect, and moderation effect of the main variables, we compare the differences in influence by dividing age groups through spss win 25 program Baron & Kenny's analysis, Sobel test, and multi-regression analysis. The analysis results are as follows. First, stress has a positive effect on depression and smartphone addiction, and depression has a positive effect on smartphone addiction. Second, depression has been shown to have a partial mediating effect in the relationship between stress and smartphone addiction. Third, there was a difference in influence between stress and smartphone addiction depending on age groups. Based on the above results, we present policy implications and follow-up research suggestions.

• The Journal of Korean Society for School & Community Health Education
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• v.25 no.1
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• pp.17-28
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• 2024

Background & Objectives: This study aimed to examine the relationship between subjective health perception and health behaviors among adolescents, utilizing raw data from the 8th Korea National Health and Nutrition Examination Survey (2019-2021) while distinguishing between genders. Methods: The study employed data from the 8th Korea National Health and Nutrition Examination Survey (2019-2020), recruiting students from 1st to 3rd grades in middle and high schools nationwide. Through population stratification, sample distribution, and sampling stages, a final sample of 1,065 adolescents aged 12 to 18 years was selected. The collected data were analyzed using SPSS 28.0 (IBM Corp., Armonk, NY, USA) at a significance level of .05. Results: Regarding the general characteristics of the subjects, no statistically significant differences were observed among male students based on school, family structure, and income. However, among female students, a significant difference in subjective health perception was noted, with higher perception among high school students compared to middle school students (p=.001). Significant differences in health behaviors were identified based on family structure for male adolescents, where those living with both parents exhibited more health-promoting behaviors than single-parent adolescents (p=.011). However, no significant difference was observed among female adolescents. In terms of health behaviors related to gender, regular exercise was found to significantly impact subjective health perception in male adolescents (p=.013), while breakfast habits were identified as significant influencers for female adolescents (p<.001). Conclusions: This study revealed gender differences in subjective health perception and health behaviors among adolescents. Based on these findings, there is a perceived need for the development of health promotion programs tailored to the unique needs of male and female adolescents.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.6
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• pp.123-131
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• 2008

In Oriental medicine, the status of a tongue is the important indicator to diagnose the condition of one's health like the physiological and the clinicopathological changes of internal organs in a body. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition a lot. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue region from a facial image captured and classifying tongue coating are inevitable but difficult since the colors of a tongue, lips, and skin in a mouth are similar. The proposed method includes preprocessing, over-segmenting, detecting the edge with a local minimum over a shading area from the structure of a tongue, correcting local minima or detecting the edge with the greatest color difference, selecting one edge to correspond to a tongue shape, and smoothing edges, where preprocessing consists of down-sampling to reduce computation time, histogram equalization, and edge enhancement, which produces the region of a segmented tongue. Finally, the systematic procedure separated only a tongue region from a face image with a tongue, which was obtained from a digital tongue diagnosis system. Oriental medical doctors' evaluation for the results illustrated that the segmented region excluding a non-tongue region provides important information for the accurate diagnosis. The proposed method can be used for an objective and standardized diagnosis and for an u-Healthcare system.

• Journal of the Korean Applied Science and Technology
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• v.37 no.2
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• pp.303-317
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• 2020

The purpose of this study is to conceptualize the process of formation by the exploration of the lives of professional golfers who grow to excellent sports leaders, categorize the concept and suggest models between categories. In order to reveal in depth the change process of the job formation, the 'grounded approach' as a qualitative study was used as a the methodological frame of this study, and snow sampling, one of nonrandom sampling was used for the selection method of the study participants. 10 study participants who are able to make positive self-expression and talk with the researcher were selected. Through grounded approach appropriate for this process research, this study could acquire following results. First, through the casual condition that is the exploration of the lives of professional golfers growing to excellent sports leaders, it connected to the central phenomena of professional instruction methods and education belief as golf leaders. In this process, the changes as new experiences for the charm of the new job and relationship formation influence as the function of a contextual condition. In addition, golf leaders tried to become a more completed golf leader through self-efforts for development and expertise attainment according to the their own situations as well as belief, and they have established the lives of firm golf leaders through the process. Second, as a result of the changes of their lives as professional golfers growing to excellent sports leaders, the paradigm of grounded approach which is abstracted as total 141 concepts, 17 subcategories, and 11 superordinate categories were composed.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.4
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• pp.1-7
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• 2020

This study quantified annual uptake and storage of carbon by urban greenspace in institutional lands and suggested improvement of greenspace structures to enhance carbon reduction effects. The study selected a total of five study cities including Seoul, Daejeon, Daegu, Chuncheon, and Suncheon, based on areal size and nationwide distribution. Horizontal and vertical greenspace structures were field-surveyed, after institutional greenspace lots were selected using a systematic random sampling method on aerial photographs of the study cities. Annual uptake and storage of carbon by woody plants were computed applying quantitative models of each species developed for urban landscape trees and shrubs. Tree density and stem diameter (at breast height) in institutional lands averaged 1.4±0.1 trees/100 ㎡ and 14.9±0.2 cm across the study cities, respectively. Of the total planted area, the ratio of single-layered planting only with trees, shrubs, or grass was higher than that of multi-layered structures. Annual uptake and storage of carbon per unit area by woody plants averaged 0.65±0.04 t/ha/yr and 7.37±0.47 t/ha, which were lower than those for other greenspace types at home and abroad. This lower carbon reduction was attributed to lower density and smaller size of trees planted in institutional lands studied. Nevertheless, the greenspace in institutional lands annually offset carbon emissions from institutional electricity use by 0.6 (Seoul)~1.9% (Chuncheon). Tree planting in potential planting spaces was estimated to sequester additionally about 18% of the existing annual carbon uptake. Enhancing carbon reduction effects requires active tree planting in the potential spaces, multi-layered/clustered planting composed of the upper trees, middle trees and lower shrubs, planting of tree species with greater carbon uptake capacity, and avoidance of the topiary tree maintenance. This study was focused on finding out greenspace structures and carbon offset levels in institutional lands on which little had been known.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.109-130
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• 2011

One of the major problems in the area of data mining is the size of the data, as most data set has huge volume these days. Streams of data are normally accumulated into data storages or databases. Transactions in internet, mobile devices and ubiquitous environment produce streams of data continuously. Some data set are just buried un-used inside huge data storage due to its huge size. Some data set is quickly lost as soon as it is created as it is not saved due to many reasons. How to use this large size data and to use data on stream efficiently are challenging questions in the study of data mining. Stream data is a data set that is accumulated to the data storage from a data source continuously. The size of this data set, in many cases, becomes increasingly large over time. To mine information from this massive data, it takes too many resources such as storage, money and time. These unique characteristics of the stream data make it difficult and expensive to store all the stream data sets accumulated over time. Otherwise, if one uses only recent or partial of data to mine information or pattern, there can be losses of valuable information, which can be useful. To avoid these problems, this study suggests a method efficiently accumulates information or patterns in the form of rule set over time. A rule set is mined from a data set in stream and this rule set is accumulated into a master rule set storage, which is also a model for real-time decision making. One of the main advantages of this method is that it takes much smaller storage space compared to the traditional method, which saves the whole data set. Another advantage of using this method is that the accumulated rule set is used as a prediction model. Prompt response to the request from users is possible anytime as the rule set is ready anytime to be used to make decisions. This makes real-time decision making possible, which is the greatest advantage of this method. Based on theories of ensemble approaches, combination of many different models can produce better prediction model in performance. The consolidated rule set actually covers all the data set while the traditional sampling approach only covers part of the whole data set. This study uses a stock market data that has a heterogeneous data set as the characteristic of data varies over time. The indexes in stock market data can fluctuate in different situations whenever there is an event influencing the stock market index. Therefore the variance of the values in each variable is large compared to that of the homogeneous data set. Prediction with heterogeneous data set is naturally much more difficult, compared to that of homogeneous data set as it is more difficult to predict in unpredictable situation. This study tests two general mining approaches and compare prediction performances of these two suggested methods with the method we suggest in this study. The first approach is inducing a rule set from the recent data set to predict new data set. The seocnd one is inducing a rule set from all the data which have been accumulated from the beginning every time one has to predict new data set. We found neither of these two is as good as the method of accumulated rule set in its performance. Furthermore, the study shows experiments with different prediction models. The first approach is building a prediction model only with more important rule sets and the second approach is the method using all the rule sets by assigning weights on the rules based on their performance. The second approach shows better performance compared to the first one. The experiments also show that the suggested method in this study can be an efficient approach for mining information and pattern with stream data. This method has a limitation of bounding its application to stock market data. More dynamic real-time steam data set is desirable for the application of this method. There is also another problem in this study. When the number of rules is increasing over time, it has to manage special rules such as redundant rules or conflicting rules efficiently.

• Journal of Korean Society of Forest Science
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• v.90 no.4
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• pp.573-581
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• 2001

The purposes of this study are to estimate mean willingness to pay (WTP) for preventing forest fires by contingent valuation method (CVM), and to calibrate the variables affecting WTP. The forest fire prevention fund was utilized as a payment vehicle to elicit respondents' willingness to pay (WTP). A total of 500 adults who reside in Seoul Metropolitan area were selected by two-stage cluster sampling and conducted the face-to-face interview. The scenario was designed to meet the requirements for double-bounded dichotomous choice CVM. More than half of the respondents (64.6%) have a willing to pay for the fund. The mean WTP was \4,532. Therefore a total WTP for the population was \34,165,758,000. The calibration of Weibull proportional hazard model showed that education level, environmental conservation intention and negative consciousness about the effect of forest fire were independent variables strongly influencing the WTP.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.539-547
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• 2015

This paper is the study on deducing the education design for convergence of disability awareness of targeting elementary, middle, high school students located in J city. The analysis results are as follows: In the analysis of group difference in disability awareness, there was a statistically significant difference according to female students, schools, and sub-typed phase, and experience in integrated education. It was found that the participating group in disability awareness education showed a higher average than non-participating groups in prejudice against disability, interest and consideration, and acceptance of physically challenged friends. In the relationship between disability perception education and disability awareness, the education was found to have influence on prejudice against disability and acceptance of physically challenged friends. This paper suggested disability awareness education reflecting a life cycle, application of the integrated educational method for verifying educational effectiveness, etc.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.207-217
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• 2018

The purpose of this study was to develop a patient safety nursing activities scale for clinical nurses and to verify validity and reliability it. A preliminary scale was developed through various processes and pilot study. Data were collected from 900 nurses at 28 hospitals selected by proportionate stratified sampling with 331 general hospitals nationwide. The final scale was a 4-point scale, consisting of 72 items in 10 domains. The construct validity was found to be appropriate by exploratory factor analysis and 70.3% of the variance in the total scale and over .74 of factor loading. There was a significant correlation between scale and patient safety culture (r=.52, p<.001) and Cronbach's ${\alpha}$ was .99. This scale developed to measure patient safety nursing activities of clinical nurses was found to be reliable and valid and will be a useful tool in practical field.