• Journal of Information Technology Services
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• v.21 no.3
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• pp.1-25
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• 2022

The financial MyData service has implemented in January 2022 and launched 45 services by banks, securities, credit cards and fintech companies. This study applied the Q methodology, to identify the user types of MyData services and compared the perceptions of employees of financial institutions who plan and develop the MyData services. There are three types of MyData service users: active users, limited users who focus on consumption and asset status inquiry, and sensitive users for personal information. There were two types of recognition of financial company employees. One is the active user support other is the sensitive user for personal information support. The analysis of subjective perceptions can be used as a reference for establishing a company's MyData service marketing strategy and establishing related policies to improve the MyData ecosystem.

• Journal of The Korean Association For Science Education
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• v.32 no.2
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• pp.293-305
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• 2012

The purpose of this study was to analyze the secondary school students' reasoning types in regards to measurement and to get implications for science education. The subjects were 197 middle school students and 200 high school students. The PMQ1 written instrument was used to explore students' ideas. Students' ideas about measurement were classified in two types of point and set reasoning. The reasoning types distribution were analyzed by grade and measurement step such as data collection, data processing, and data comparison. Reasoning types distribution by measurement step indicated that set reasoning type showed high figures in data processing, but point reasoning type appeared in data collection, and data comparison. Set reasoning type increased significantly by grade in data comparison. The majority of students recognized that the true value of the measurand can not be determined.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.507-519
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• 2023

Multi-temporal optical images have been utilized for time-series monitoring of croplands. However, the presence of clouds imposes limitations on image availability, often requiring a cloud removal procedure. This study assesses the applicability of various machine learning algorithms for effective cloud removal in optical imagery. We conducted comparative experiments by focusing on two key variables that significantly influence the predictive performance of machine learning algorithms: (1) land-cover types of training data and (2) temporal variability of land-cover types. Three machine learning algorithms, including Gaussian process regression (GPR), support vector machine (SVM), and random forest (RF), were employed for the experiments using simulated cloudy images in paddy fields of Gunsan. GPR and SVM exhibited superior prediction accuracy when the training data had the same land-cover types as the cloud region, and GPR showed the best stability with respect to sampling fluctuations. In addition, RF was the least affected by the land-cover types and temporal variations of training data. These results indicate that GPR is recommended when the land-cover type and spectral characteristics of the training data are the same as those of the cloud region. On the other hand, RF should be applied when it is difficult to obtain training data with the same land-cover types as the cloud region. Therefore, the land-cover types in cloud areas should be taken into account for extracting informative training data along with selecting the optimal machine learning algorithm.

• Korean Journal of Remote Sensing
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• v.11 no.1
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• pp.31-45
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• 1995

The values of brightness temperature difference (BTD) between 11um and 12um infrared channels may reflect amounts of low-level water vapor and cloud types due to the different absorptivity for water vapor between two channels. A simple method of classifying cloud types at night was proposed. Two-dimensional histograms of brightness temperature of the 11um channel and the BTD between the split window data over subareas around characteristic clouds such as Cb(cumulonimbus), Ci(cirrus), and Sc(stratocumulus) was constructed. Cb, Ci and Sc can be classified by seleting appropriate thresholds in the two-dimensional histograms. And we can see amounts of low-level water vapor in clear area as well as cloud types in cloudy area in the BTD image. The map of cloud types and low-level water vapor generated by this method was compared with 850hPa and 1000hPa relative humidity(%) of numerical analysis data and nephanalysis chart. The comparisons showed reasonable agreement.

• Journal of Korean Clinical Health Science
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• v.4 no.1
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• pp.510-521
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• 2016

Purpose. The aim of this study was to provide Aromatherapist with analysis of correlation between MBTI personality type and scent preference of natural aroma essential oil in university students. Methods. Data was analyzed by students whom participated in the research on the scent preference of natural aroma essential oil of students from m university who accomplished to MBTI personality survey. Results. As a result, the introverted personality types more liked Peppermint and felt more intensive scent than extroverted personality types did(p=0.006). Extroverted personality types recognized Neroli as feminine scent(p=0.034) and introverted personalty types recognized Frankincense as feminine scent(p=0.045). Extroverted personality types felt that Juniper berry is exciting scent(p=0.036) and that Rosemary(p=0.044) and Lavender(p=0.030) are eco-friendly scent. And introverted personality types relatively less did than extroverted personality types. Conclusions. This study is to get a basic data of aroma preference of university students by looking into the influence that MBTI personality type affect natural aroma preference and to use this data for ease off school stress and job seekng stess and counsel the students.

• The Research Journal of the Costume Culture
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• v.8 no.1
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• pp.40-52
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• 2000

The purposes o this study were to investigate buying behaviors of patrons of six retail store types for clothing and the satisfaction levels of the six store types (department stores, specialty stores, chain store, discount stores, bonded goods stores and traditional market), and to test the differences in purchase behaviors and store satisfaction levels among the groups determined by demographic characteristics. A questionnaire survey was administered to male and female university students living in the Seoul metropolitan area from April 27 to May 11, 1999 ; 443 were collected and 391 were used for the data analysis. Data were analyzed by SPSS statistical package. Descriptive statistics, t-test, ANOVA, Chi-square analysis and Duncan's multiple range test were employed for the data analysis. In terms of the store usage, most of the subjects tended to choose the store types they patronized for buying coats, suits, blouses, T-shirts, slacks/skirts and jeans items ; but, they used department store and specialty store for coat, suit, blouse, T-shirt, slacks/skirt and jeans for purchasing selected clothing items. Regarding criteria used for store selection, the most important criterion was the diversity of products offered and other store types. In terms of the store satisfaction levels of the six store types, the patrons of all store types were most satisfied with the stores they patronaged.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.77-88
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• 2017

The purpose of this study is to compare existing player type theories using data clustering. For the study, 235 result data of the gamified class in second semester of A university at 2016 used. This study applied K-means and Silhouette to decide the appropriate number of clusters. The player types applied in this study are Bartle's 2-D and 3-D player types, Ferro's five types, and BrainHex. According to the results, Bartle's 2D player type was found to be the best in perspective of data clustering. This study also analyzed the distribution of characteristics for each player types. The results of this study are expected to have an impact on player analysis, which is used in the application of gamification or in the development process.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.351-361
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• 2003

Purpose: The purposes of this study were to understand the types of coping strategies that family caregivers experience during the process of caring demented elderly: to grasp the coping strategies used for resolving this problem: and to develop a substantive theory by analyzing the coping types of the family caregivers of demented elderly. Method: The methodology of data collection and analysis used in this study was grounded theory proposed by Strauss and Corbin (1990). The data was collected through in-depth interviews with participants using open-ended and descriptive questions about their coping experiences. All data were were audio-taped and transcribed. The data were collected from February, 2000 to February, 2001. The participants of this study were 17 women. Results: Caregiver's coping types varied according to 'family's support', 'the condition of caregiver's health', 'the relationship with dementia elderly', 'family perception of dementia', 'fixed idea of traditional female role' and 'economic state'. In this study, five types of coping strategies were emerged: active role allotment tyle, meaning grant tyle, devotion tyle, duty defense type, and pessimism type. Among these, those who belong to the types of active role allotment, meaning grant, and devotion, including caregiver's good health were found to adapt themselves to caregiver roles. Conclusion: The results of this study may be helpful for developing effective and individualized nursing strategies suitable for individual caregivers coping types. It is suggested to practice nursing mediation and to analyze the changes in nursing effect and family members' adaptation based on coping types of the well-adapted caregivers as we as on their affirmative coping strategy.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.59-60
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• 2018

The purpose of this study is to predict and classify the accident types based on the KOSHA (Korea Occupational Safety & Health Agency) and weather data. We also have an effort to suggest an important management method according to accident types by deriving feature importance. We designed two models based on accident data and weather data (model(a)) and only weather data (model(b)). As a result of random forest method, the model(b) showed a lack of accuracy in prediction. However, the model(a) presented more accurate prediction results than the model(b). Thus we presented safety management plan based on the results. In the future, this study will continue to carry out real time prediction to occurrence types to prevent safety accidents by supplementing the real time accident data and weather data.

• Korean Journal of Child Studies
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• v.33 no.2
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• pp.111-127
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• 2012

This study compared a number of related variables according to children's stress types using the data mining method. The sample population was taken from the Korean Youth Panel Survey (KYPS) data (2688, sixth-grade elementary students). The results of the decision tree model revealed that : (1) Parental expectations in terms of study, life satisfaction, self-esteem, parental attachment, aggression, the spousal relationship, other cognition (one's own misdeeds), and study related worries were all related to parent stress. (2) Life satisfaction, study related worries, admitting one's own misdeeds, gender, other cognition (one's own misdeeds), aggression, the spousal relationship, and a sense of alienation in the school were all related to appearance stress. (3) Study related worries, parental expectations in terms of study, aggression, life satisfaction, self-esteem, parental attachment, satisfying parental expectations, parental attachment, and teacher attachment were all related to academic stress. (4) A sense of alienation in the school, mixing with peers in the school, aggression, self-esteem, other cognition (one's own misdeeds), study related worries, parental abuse, and life satisfaction were all significantly related to friend stress. These results suggested that children's diverse conditions should be considered according to the stress types if we are to understand and cope with these stress types more efficiently.