• Journal of Information Processing Systems
• /
• v.15 no.5
• /
• pp.1096-1107
• /
• 2019

In this paper, we present an ontology-based approach to labeling influential topics of scientific articles. First, to look for influential topics from scientific article, topic modeling is performed, and then social network analysis is applied to the selected topic models. Abstracts of research papers related to data mining published over the 20 years from 1995 to 2015 are collected and analyzed in this research. Second, to interpret and to explain selected influential topics, the UniDM ontology is constructed from Wikipedia and serves as concept hierarchies of topic models. Our experimental results show that the subjects of data management and queries are identified in the most interrelated topic among other topics, which is followed by that of recommender systems and text mining. Also, the subjects of recommender systems and context-aware systems belong to the most influential topic, and the subject of k-nearest neighbor classifier belongs to the closest topic to other topics. The proposed framework provides a general model for interpreting topics in topic models, which plays an important role in overcoming ambiguous and arbitrary interpretation of topics in topic modeling.

• Journal of Distribution Science
• /
• v.21 no.5
• /
• pp.11-18
• /
• 2023

Purpose: The purpose of this article is to determine whether there are differences in the level of return and risk of the conventional and Islamic capital markets. Research design, data and methodology: This study takes data on the Jakarta Islamic Index (JII) and the Liquid-45 (LQ45) stock groups in the 2017 to 2020 period. The research approach used is quantitative research with a type of comparison. The data used secondary data sourced from the closing price of shares on the Indonesia Stock Exchange. The statistical method used to test the hypothesis is a different test or independent sample t-test. Results: There is a significant difference between the rate of return and investment risk in JII and LQ-45. The rate of return and risk of investing in LQ-45 is higher than that of JII. Conclusions: There is a significant difference in the rate of return on investment in Jakarta Islamic Index (JII) and LQ-45, including conventional stock Liquid-45 (LQ-45) is higher than the rate of return on shares of JII shares. There is a significant difference in the level of investment risk in the Jakarta Islamic Index (JII) and the Liquid-45 (LQ-45), where the risk level for the LQ-45 is higher than that of the JII shares.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2008.04a
• /
• pp.306-310
• /
• 2008

Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

• Journal of Korean Academy of Nursing
• /
• v.46 no.6
• /
• pp.848-857
• /
• 2016

Purpose: This study aimed to investigate factors affecting frailty by age groups among vulnerable elders in Korea. Methods: In this secondary analysis, data were collected from records for 22,868 elders registered in the Visiting Health Management program of Public Health Centers in 2012. Health behaviors, clinically diagnosed disease, frailty, depression and cognitive condition were assessed. Data were analyzed using stepwise regression to determine the associated factors of frailty by age group. Results: Alcohol consumption, physical activity, number of diseases, DM, CVA, arthritis, urinary incontinence, depression and cognitive condition were found to be factors significantly associated with frailty among the elders aged 65~74 (F=135.66, p <.001). Alcohol consumption, physical activity, CVA, arthritis, urinary incontinence, depression and cognitive condition were found to be factors associated with frailty in the elders aged 75~84 (F=245.40, p <.001). Physical activity, CVA, arthritis, depression and cognitive condition were factors associated with frailty in the elders over 85 years of age (F=96.48, p <.001). Conclusion: The findings show that frailty of elders and associated factors were different by age group, and common factors affecting frailty were physical activity, CVA, arthritis, depression and cognitive condition. Thus, these factors should be considered in the development of intervention program for care and prevention of frailty and program should be modified according to age group.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.8 no.4
• /
• pp.306-311
• /
• 2008

Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

• Journal of Korean Academic Society of Home Health Care Nursing
• /
• v.2
• /
• pp.19-34
• /
• 1995

The purpose of this study was to analysis level on family caregiver's burden for the elderly with chronic disease in a rural area and to choose priority care group, thereby facilitating the development of interventions to reduce the caregiver's burden. For this purpose, data were collected by questionaire from June 10 to October 8, 1994. The instruments for data collection were Caregiver Burden Inventory by Novak(1989) and Zarit et al(1982), severity of dementia by Hughes Scales(1982), ADL by Lawton(1971), patients' family caregiving activity by pre-survey and reference review(Lee, 1993 ; Jang, 1990 ; Yoo, 1982). The subjects were 213 family caregiver of elderly with chronic disease in a rural area. The data was analysed by the use of t-test, ANOVA, correlation and multiple regression. The results were as follows ; 1. Total burden was evaluated below average, the mean of family burden was 46.98. By the diagnostic classification, Hypertension was 27.37, DM 32.46, CVA 62.96, Dementia 61.24. 2. Significant variables which were correlated to the family caregiver's burden were the patient's disease diagnosis (F=33.82, p<0.001), severity of dementia(F=30.52, p<0.001), the status of disease management(F=11.53, p<0.001), ADL(F=10.54, p<0.001), PADL(F=7.50, p<0.001), income(F=7.17, p<0.001), caregiver's health status(F=24.53, p<0.001), a view of patient's prognosis (F=22.17, p<0.001), relationship with the patient(F=33.82, p<0.001), the number of hours per day spent on caregiving(F=77.52, p<0.001), level of intimacy of caregiver and patients(F=8.75, p<0.001), level of helping(F=4.90, p<0.01), the frequency of caregiving activity(F=3.80, p<0.01), the number of admission(F=5.54, p<0.01), the length of caregiving(F=4.43, p<0.01), other chronic patient in family(t=2.81, p<0.01), caregiver's job(F=3.11, p<0.01), the duration of illness(F=2.98, p<0.05), caregiver's religion(F=2.93, p<0.05), medical security(F=3.89, p<0.05), caregiving's helper(t=2.42, p<0.05). 3. PADL was the most important predictor to family caregiver burden(R2=0.6611). In addition to this, IADL, caregiver's health status, the length of caregiving. level of intimacy of caregiver and patients, patient's age, the patient's disease diagnosis and patient's job accounted for 76% of family caregiver burden. 4. The criteria of priority care group were as follows ; the mean of family caregiver burden was above 58, above of moderate ADL, the number of hours per day spent on caregiving above of 8 hours, above of moderate dementia. By the diagnostic classification, number of priority care group, Hypertension was 4 (8.0%), DM 4(8.0%), CVA 34(64.1%), Dementia 45(75.0%).

• Journal of Korean Public Health Nursing
• /
• v.15 no.2
• /
• pp.412-427
• /
• 2001

The purpose of this study is to provide a basis to recognize the health behaviors of middle-aged men that are constructive to a healthy life style. Data were collected from interview of questionnaires completed by 160 middle aged men living in Incheon from November 1 to 30, 2000. The questionnaires used in this study were obtained from publications on health related topics shown in literature review. These topics included : health concept, diseases, use of tobacco, alcohol, caffeine, drug, exercise and diet, cause of stress and stress management. The data were analyzed by descriptive statistics using the SPSS program. The results of this study were as follows. 1. $47.5\%$ of Middle aged men thought of concept of health as a doing daily living pattern. 2. $38.5\%$ of the middle aged men had illness or disease, which included hypertension, gastritis, disc, peptic ulcer, indigestion and DM. 3. $55.6\%$ of the middle aged men smoked cigarettes. Most of them the began to smoke due interest. 4. $72.5\%$ of the middle aged men drank alcohol. Most of them began drinking due to peer pressure. 5. $81.2\%$ of the middle aged men consumed caffeine-containing products. 6. $59.4\%$ of the middle aged men took drugs. Most of the drugs were digestant. vitamins and analgesics. 7. $25.2\%$ of the middle aged men exercised more than 2 times per week. 8. Most of causes of stress were economic difficulties and sickness. The method of stress management were alcolhol and use of tobacco mostly.

• Journal of the Korea Convergence Society
• /
• v.11 no.6
• /
• pp.401-410
• /
• 2020

The purpose of this study was to investigate predictors and mediating effects of physical activity and nourishment regulation on well-being among young and middle aged patients on DM medication and to compare between those with non-pharmacological treatment and those without. Data were obtained from 2017 community health survey including 1,480 DM patients with oral medication in the age between 20 and 49. Using SPSS 25.0 and AMOS 25.0, path analysis was performed to explore the association between personal factors (socio-economic status, health habit, eating habit and compliance of health examination) and well-being, along with mediating effects of physical activity. Results demonstrated the different mediating role of physical activity. In medication only group, there was no direct effect of physical activity and no indirect effect of personal factors. Direct effect of physical activity and indirect effects of predictors were found in those with non-pharmacological treatment group. When developing strategies to enhance well-being of young and middle aged diabetic patients, proper reflection of their age specific traits and disease management capability are essential.

• Women's Health Nursing
• /
• v.6 no.1
• /
• pp.96-108
• /
• 2000

The purpose of this study was to provide the basic data for developing a program for effective education about GDM(Gestational Diabetes Mellitus) by investigating the knowledge and learning needs of pregnant women about GDM. The subjects were 192 pregnant women who visited obstetrical clinics for prenatal care. The data were collected from October, 1998 to December, 1999, using a 50-item questionnaire(knowledge ; 30 items, learning needs ; 20 items), and analyzed by SAS program for t-test, ANOVA, Ducan test, and Pearson correlation coefficients. The results were as follows. 1. The knowledge level about GDM 1) Pregnant women had very little knowledge(total means ; 15.1 of 30.0) about GDM. 2) Pregnant women more than 30 years old, pregnant women from Seoul, and pregnant women who had more than a bachelor's degree were more knowledgeable about GDM. 3) Pregnant women who didn't experience spontaneous abortions, pregnant women who had DM(Diabetes Mellitus) patients in their families, and pregnant women who received education about DM were more knowledgeable about GDM. 4) Pregnant women knew very well that GDM women have more maternal and fetal complications than normal pregnant women. Although they were knowledgeable about the importance and ways of controlling blood glucose level, they knew very little about the causes, symptoms, or management of hypoglycemia. 2. The learning needs about GDM 1) Pregnant women had high learning needs (total means ; 85.0 of 100.0) about GDM. 2) The learning needs of pregnant women who had more than a bachelor's degree and pregnant women who earned less than two million won in monthly income were higher than that of other groups. 3) Pregnant women had high learning needs about the health of their baby and themselves, but their learning needs related to weight control and exercise-things that play important roles in controlling blood glucose level-were relatively low. As a result of the above findings, a systemic and individualized program is required for pregnant women and GDM patients, In addition to that, further studies that investigate the effects of education and retention of learning obtained by education are required in the near future.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.46 no.7
• /
• pp.3-12
• /
• 2004

The need to predict the rate of soil erosion, both under existing conditions and those expected to occur following soil conservation practice, has been led to the development of various models. In this study Morgan model especially developed for field-sized areas on hill slopes was applied to assess the rate of soil erosion using RS/GIS environment in the Dukchun river basin, one of two tributaries flowing into Jinyang lake. In order to run the model, land cover mapping was made by the supervised classification method with Landsat TM satellite image data, the digital soil map was generated from scanning and screen digitizing from the hard copy of soil maps, digital elevation map (DEM) in order to generate the slope map was made by the digital map (DM) produced by National Geographic Information Institute (NGII). Almost all model parameters were generated to the multiple raster data layers, and the map calculation was made by the raster based GIS software, IL WIS which was developed by ITC, the Netherlands. Model results show that the annual soil loss rates are 5.2, 18.4, 30.3, 58.2 and 60.2 ton/ha/year in forest, paddy fields, built-up area, bare soil, and upland fields respectively. The estimated rates seemed to be high under the normal climatic conditions because of exaggerated land slopes due to DEM generation using 100 m contour interval. However, the results were worthwhile to estimate soil loss in hilly areas and the more precise result could be expected when the more accurate slope data is available.