• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.10a
• /
• pp.363-366
• /
• 2001

It is very difficult to maintain the performance of estimation models for the new breed of projects since the computing environment changes so rapidly in terms of programming languages, development tools, and methodologies. So, we propose to use the relevant cases for a neural network model, whose cost is the decreased number of cases. To balance the relevance and data availability, the qualitative input factors are used as criteria of data classification. With the data sets that have the same value for certain qualitative input factors, we can eliminate the factors from the model making reduced neural network models. So we need to seek the optimally reduced neural network model among them. To find the optimally case-selective neural network, we propose the search techniques and sensitivity analysis between data points and search space.

• Korean Journal of Psychosomatic Medicine
• /
• v.3 no.2
• /
• pp.174-184
• /
• 1995

The author conducted a literature review to better characterize the current state of knowledge regardeding the relationship between psychological and behavioral factors and cardiovascular disease. This review focus on several Problems : hypertension, coronary artery disease such as myocardial infarction and angina pectoris, sudden death, arrhythmia, vasomotor(vasodepressor) syncope, and psychogenic cardiac nondisease. We describe model for understanding the relationship of psychological factors to the disease, review the results of relevant research studies and provide recommendation for further research.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.06a
• /
• pp.399-408
• /
• 2001

This paper presents a simultaneous optimization approach of case-based reasoning (CBR) using a genetic algorithm(GA) for the prediction of stock price index. Prior research suggested many hybrid models of CBR and the GA for selecting a relevant feature subset or optimizing feature weights. Most studies, however, used the GA for improving only a part of architectural factors for the CBR system. However, the performance of CBR may be enhanced when these factors are simultaneously considered. In this study, the GA simultaneously optimizes multiple factors of the CBR system. Experimental results show that a GA approach to simultaneous optimization of CBR outperforms other conventional approaches for the prediction of stock price index.

• Journal of Industrial Convergence
• /
• v.9 no.1
• /
• pp.15-31
• /
• 2011

Recently, elderly populations are coming out as the first magnitude consumers. The purpose of the study is analyze the basic data useful to get the public attention concerning the development of the market for elderly by looking into the types of lifestyle and the store choice factors which may influence the elderly women consumer. This survey was performed on individuals of age 50 and older women. the types of lifestyle for elderly women consumer were classified into 3 types; self-oriented. traditional, family oriented, family oriented. Each group showed different store choice factors that affect purchase of clothing; ease of returning product, discount for best customer, delivery service, convenience in-store and parking, all fashion item, store ambience and interior decoration were significant difference. The result of the study will be very useful in establishing the relevant elderly marketing strategies and in providing the business opportunities of the market for elderly consumers.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.977-993
• /
• 2020

Sustainable tourism is the development of tourism activities to meet the current needs of tourists and indigenous peoples while paying attention to the conservation and improvement of resources for the development of tourism activities in the future (World Tourism Organization, 2013). With the aim of identifying factors affecting the development of sustainable tourism in the South Central Coast of Vietnam, the study conducted a typical survey of 160 tourism managers and 240 tourists traveling or have participated in tourism activities of 8 provinces in the South Central Coast of Vietnam, and used the exploratory factor analysis (EFA) analysis and regression analysis for analyzing the data. The research results show that 11 factors impact the development of sustainable tourism in the South Central Coast namely Institutions and policies for tourism development, Infrastructure, Tourism resources, Human resources for tourism, Diversity of tourism services, Relevant support services, Activities of association and cooperation for tourism development, Tourism promotion and encouragement, Tourists' satisfaction, Local community, and Other factors. At the same time, among the above factors, the factors Institutions and policies for tourism development, Infrastructure, Tourism resources, and Local community strongly impact the development of sustainable tourism in the region.

• Journal of the Korean Society of School Health
• /
• v.30 no.2
• /
• pp.154-163
• /
• 2017

Purpose: This study aimed to understand the current situation of Korean adolescents' sexual experience and its characteristics by school level, gender, and related factors to their sexual experience. This could be the basic evidence for the development of various sex education programs for the youth. Methods: This study used the 11th online survey data on youth health behavior (2015) and all 68,043 students who participated in the study were included for the analysis. The binominal logistic regression model was used to identify the characteristics and relevant factors of sexual intercourse experience. Analysis was performed by complex sample design using SPSS/WIN 18.0. The statistical significance was defined as p<.05 with a two-sided test. Results: The factors related to sexual experience of adolescents included grade, sadness and hopelessness, smoking, Internet addiction, and sex education in school, for middle school boys. For middle school girls, grade, residence area, sadness and hopelessness, smoking, drinking, and sex education in school were related. For high school boys, the factors were grade, living with parents, economic situation, sadness and hopelessness, smoking, drinking, and Internet addiction. For high school girls, grade, sadness and hopelessness, smoking, and drinking were found to be related factors. Conclusion: The results of this study suggest that a practical program considering adolescents' level and characteristics should be developed and applied.

• Culinary science and hospitality research
• /
• v.23 no.1
• /
• pp.37-47
• /
• 2017

The number of delivery app users and their social impact have increased along with the number smartphone users. Accordingly, the present study attempted to suggest a method to improve the service quality of delivery apps for relevant businesses and researchers by determining the influences of delivery app usage factors on customer satisfaction and reuse intention. The present study distributed and collected questionnaires through on- and offline surveys targeting males and females in their 20s in the Daejeon area. The results of the regression analysis showed that the influence of delivery app usage factors on customer satisfaction was 43.8%, and informativeness, payment and safety, usefulness, and convenience were found to influence the increased satisfaction with the delivery apps. The influence of delivery app usage factors on customers' reuse intention was 37.3%, and among the four usage factors, informativeness and payment and safety were found to be the main factors for increasing the reuse intention. As providing more accurate information is a means to increase customer satisfaction and reuse intention by improving the service quality of the delivery apps, new menus and prices should be rapidly updated.

• Journal of the Korean housing association
• /
• v.16 no.1
• /
• pp.47-54
• /
• 2005

The purpose of this study was to examine the factors of environmental friendliness perceived among residents, and to provide housing designers and housing policy makers with the relevant information. Literature review and questionnaire survey were used in this research. Data drawn from 320 residents living in the Bundang area were analyzed. Data were analyzed with the SPSS PC+ 11.0 window version. The results were summarized as follows: 1) Residents were satisfied with the amenity of their residential environment but they were unsatisfied with other ecosystem among environment friendly factors. And they pointed out that three factors are very important factors among environmental friendliness, which are the environmental friendliness apartment community plan, the minimization of environmental pollution, the energy saving. 2) There was significant difference the evaluation of environmental friendly factors according to sex, age, educational level of wife, and income. Especially, women are unsatisfied with environmental friendliness of their residential environment and it was founded that the older the age, the more positive evaluation on their residential environment. 3) There was significant difference in the evaluation of environmental friendly factors according to location, housing type, homeownership, and residential period. Location was related to the amenity of their residential environment, housing type, homeownership, and residential period were related to the convenience of their residential environment.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.6
• /
• pp.2931-2934
• /
• 2012

Background: The epidemiological situation regarding cervical carcinoma in Serbia is rather unfavorable and one of contributing factors is the insufficient interest of women concerning the risk factors responsible for occurrence of this disease. The aim of this study was to determine the sources of relevant information for women Methods: An anonymous questionnaire was used for questioning of patients, students and women undergoing systematic examinations. There were 600 women in total in 2006, 2009 and 2010, and the data were statistically processed by the ${\chi}^2$ test with Yates correction and the Fisher test. Results: When observed for certain groups of tested women, and summed up for all three periods, there was a statistically significant difference for the answer "without any knowledge" (p=0.0001). When observed for certain years and summed up for all three tested groups, there was a statistically significant difference in answers regarding the source of information, the "doctor" (p=0.0011), "media" (p=0.0349) and "encyclopedia-internet" (p=0.0136). Conclusion: The media are a dominant source of information for women on risk factors for cervical cancer. The significance of the Internet increased during the three observed periods, while the students considered themselves least informed of all concerning risk factors.

• Journal of the Korean Data and Information Science Society
• /
• v.22 no.5
• /
• pp.911-919
• /
• 2011

In recent medical analysis, it becomes more important to looking for risk factors related to mental illness. If we find and identify their relevant characteristics of the risk factors, the disease can be prevented in advance. Moreover, the study can be helpful to medical development. These kinds of studies of risk factors for mental illness have mainly been discussed by using the logistic regression model. However in this paper, data mining techniques such as CART, C5.0, logistic, neural networks and Bayesian network were used to search for the risk factors. The Bayesian network of the above data mining methods was selected as most optimal model by applying delirium data. Then, Bayesian network analysis was used to find risk factors and the relationship between the risk factors are identified through a radial graph.