• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.440-443
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• 2005

The wide spread of internet business recently necessitates recommendation systems which can recommend the most suitable product fur customer demands. Currently the recommendation systems use content-based filtering and/or collaborative filtering methods, which are unable both to explain the reason for the recommendation and to reflect constantly changing requirements of the users. These methods guarantee good efficiency only if there is a lot of information about users. This paper proposes an algorithm called 'demand articulate & integration' which can perceive user's continuously varying intents and recommend proper contents. A method of knowledge classification which can be applicable to this algorithm is also developed in order to disassemble knowledge into basic units and articulate indices. The algorithm provides recommendation outputs that are close to expert's opinion through the tracing of articulate index. As a case study, a knowledge base for heritage information is constructed with the expert guide's knowledge. An intelligent recommendation system that can guide heritage tour as good as the expert guider is developed.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.48-48
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• 2022

Ethnobotany is an interdisciplinary science at the intersection of botany and ethnology. Currently, there is a sharply increasing need for the study and conservation of traditional knowledge about plants. The loss of traditional sources, knowledge, and practices in using plants is caused by the growth of technologies in all branches of production, widespread urbanization, and globalization of the economy. This study was been conducted to collect and analyze the Koryoins (Koryo saram) traditional ethnobotanical knowledge, living in Uzbekistan, whose number 174,200 people. They are the descendants of Korean immigrants to the Russian Far East, who ended up in Central Asia as a result of the forced resettlement in 1937. In the processing of collected data, four main categories of uses were defined - Alimentary, Medicinal, Household/Handicraft, and Others. For quantitative data analysis, synthetic indices were used - RFC (Relative Frequency of Citation) and CI (Cultural Importance Index), which are commonly applied to assess the importance of plants. The respondents mentioned 72 plants belonging to 28 botanical families. A significant part of them was cultivar plants. The category that had the largest number of plants mentioned by the respondents was the Alimentary use category (51). According to quantitative indices rates, the most important plants are traditionally used for food. A comparison of ethnobotanical knowledge was made with the collected data of this study and Korean traditional knowledge.

• Journal of Home Health Care Nursing
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• v.17 no.2
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• pp.120-126
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• 2010

Purpose: The study sought to identify the differences in chronic diseases and physical activity in elderly women by BMI. Method: The subjects of this study were 644 elderly women 60-80-years-of-age living at home. The research instruments were physical activity levels and chronic diseases. Subjects were given a self-report questionnaire. Data were analyzed using the SPSS win program. Result: Hypertension, prevalence of diabetes mellitus and hyperlipemia were significantly different in the subjects according to body mass index, being higher in obese subjects than in non-obese subjects. Physical activity in each of the body mass index groups did not differ significantly. Conclusion: Obesity increases the risk of chronic diseases. This knowledge could help elderly women control their weight, reduce chronic diseases, and ultimately, gain better health.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2030-2032
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• 2001

In recent years, many attempts have been made to predict the behavior of bonds, currencies, stock, or other economic markets. Most previous experiments used multilayer perceptrons(MLP) for stock market forecasting. The Kospi 200 Index is modeled using different neural networks and fuzzy system predictions. In this paper, a multilayer perceptron architecture, a dynamic polynomial neural network(DPNN) and a fuzzy system are used to predict the Kospi 200 index. The results of prediction is compared with the root mean squared error(RMSE) and the scatter plot. Results show that both networks can be trained to predict the index. And the fuzzy system is performing slightly better than DPNN and MLP.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.107-116
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• 2021

Purpose : To examine the relationship among osteoporosis knowledge, osteoporosis preventive behaviors, self-efficacy and health-related quality of life of middle aged women and to find out factors which influence health-related quality of life. Methods : For study subjects, female patients aged 40 to 64 and hospitalized at the surgical wards of two general hospitals in G city were conveniently sampled. The data have been collected from January 11 to March 10, 2018. Data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, and multiple regression. Results : The average score of osteoporosis knowledge was 12.50±3.47, the average score of osteoporosis preventive behaviors was 44.96±8.16 and the average score of osteoporosis self-efficacy was 40.38±8.07. The factors influencing EQ-5D Index in health-related quality of life were comorbidity, osteoporosis preventive behaviors, osteoporosis knowledge and average monthly income, which could account for health-related quality of life at 18.0%. The factors influencing EQ-5D VAS were osteoporosis preventive behaviors, self-efficacy, osteoporosis knowledge and age of menarche, which could account for health-related : Higher osteoporosis knowledge, osteoporosis preventive behaviors and self-efficacy, the better the subjects health-related quality of life. Therefore, as a way to promote health-related quality of life of middle aged women, the constant development and the application of a program which may promote osteoporosis knowledge, osteoporosis preventive behaviors and self-efficacy are needed.

• Knowledge Management Research
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• v.23 no.1
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• pp.89-109
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• 2022

Due to COVID-19 and soaring participation of individual investors, large-scale transactions exceeding system capacity limits have been reported frequently in the capital market. The capital market IT systems, which the impact of system failure is very critical, have encountered unexpectedly tremendous transactions in 2020, resulting in a sharp increase in system failures. Despite the fact that many companies maintained large-scale system capacity planning policies, recent transaction influx suggests that a new approach to capacity planning is required. Therefore, this study developed capital market IT system capacity planning models using machine learning techniques and analyzed those performances. In addition, the performance of the best proposed model was improved by using sentiment index that can promptly reflect the behavior of investors. The model uses empirical data including the COVID-19 period, and has high performance and stability that can be used in practice. In practical significance, this study maximizes the cost-efficiency of a company, but also presents optimal parameters in consideration of the practical constraints involved in changing the system. Additionally, by proving that the sentiment index can be used as a major variable in system capacity planning, it shows that the sentiment index can be actively used for various other forecasting demands.

• Journal of Intelligence and Information Systems
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• v.14 no.1
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• pp.67-84
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• 2008

This paper proposes a design and realization for the semantic search system. The proposed model includes three Architecture Layers of a Semantic Search System ; (they are conceptually named as) the Knowledge Acquisition, the Knowledge Representation and the Knowledge Utilization. Each of these three Layers are designed to interactively work together, so as to maximize the users' information needs. The Knowledge Acquisition Layer includes index and storage of Semantic Metadata from various source of web contents(eg : text, image, multimedia and so on). The Knowledge Representation Layer includes the ontology schema and instance, through the process of semantic search by ontology based query expansion. Finally, the Knowledge Utilization Layer includes the users to search query intuitively, and get its results without the users'knowledge of semantic web language or ontology. So far as the design and the realization of the semantic search site is concerned, the proposedsemantic search system will offer useful implications to the researchers and practitioners so as to improve the research level to the commercial use.

• STI Policy Review
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• v.1 no.2
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• pp.51-68
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• 2010

This paper compares OECD nations by developing a comprehensive evaluation index that examines the efforts and achievements of countries toward Low-Carbon Green Growth. The input-process-output of a Low-Carbon Society system is in dynamic competition with that of a High-Carbon Society system. The model used in this study of the comprehensive evaluation index for Low-Carbon Green Growth was comprised of Large indices such as Input, Process, and Output. The Input and Output consisted of 'Social-economic' and 'Physical-ecological' Middle indices while the Process was made up of 'Stimulation mechanisms' and 'Participation of stakeholders and Knowledge flow' Middle indices. In order to calculate the comprehensive evaluation index, our model gave a weight to each indicator/index and applied a weighted arithmetic mean. Korea ranked $15^{th}$ out of 30 OECD nations in the comprehensive evaluation that analyzed Input ($14^{th}$), Process ($18^{th}$), and Output ($17^{th}$). The top five nations were Switzerland, Sweden, Denmark, Germany, and France; while Japan was $8^{th}$ and the USA $26^{th}$.

• Journal of Korean Biological Nursing Science
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• v.22 no.4
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• pp.297-307
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• 2020

Purpose: The purpose of this research was to identify the relationships between stroke knowledge, health perception, exercise self-efficacy and stroke prevention behaviour and the factors influencing stroke prevention behaviour in middle-aged adults. Methods: A cross-sectional survey was conducted in 2 cities of Korea from May to July 2020, using structured questionnaire. The participants were 168 middle-aged adults without a history of stroke. Collected data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficients, and multiple regression with SPSS/WIN 25.0. Results: There was significant correlations among degree of stroke prevention behaviour, stroke knowledge about warning sign (r= .20, p= .010), health perception (r= .35, p< .001) and exercise self-efficacy (r= .43, p< .001). The most important factor influencing stroke prevention behaviour was exercise self-efficacy (β= 0.38, p< .001), followed by health perception (β= 0.18, p= .008), body mass index (β= -0.17, p= .011), stroke knowledge about warning sign (β= 0.13, p= .045) in that order. These factors explained 37.7% of total variance in stroke prevention behaviour (F= 11.09, p< .001). Conclusion: The results of this study suggest that the development of nursing intervention for stroke prevention behaviour improvement is needed considering exercise self-efficacy and stroke knowledge.

• Journal of Korean society of Dental Hygiene
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• v.13 no.4
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• pp.569-579
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• 2013

Objectives : TThe purpose of this study was to provide the oral health education program for marriage imimigrant women. This study focused on the pre and post education effects including knowledge and attitude of oral health. Methods : Subjects were 51 marriage immigrant women who participated in the 4 phases of oral health program for two weeks from March 26 to June 30, 2012. Results : Oral health education program had a significant influence on the level of oral health perception. The oral health education program enhanced the knowledge level of marriage immigrant women. Oral Hygiene Index (OHI-S) also showed a significant difference and suggested that the oral health education program increased the level of knowledge related to oral care. Conclusions : It is necessary to investigate motivation factors and influential factors changing the oral health behaviors, knowledge and attitude related to oral health. Further study will be necessary to analyze the characteristics by countries, social class and age.