• The Journal of the Korea Contents Association
• /
• v.17 no.5
• /
• pp.552-564
• /
• 2017

This study is aimed to overcome the limitation of traditional learning competence and career management system, and conducted to design the function of integrated ePortfolio and the elements of the system for administrative control of curricular and extracurricular program of the university as well as to develop a printout-based prototype in the context of S-university. Researchers deducted the main menus and functions of the integrated ePortfolio by two experts validification procedures, searched for the subfunctions, and secured their validity. Mainly 6 elements of integrated ePortfolio system are designed as follows: basic information, learning and competence management, course and career management, portfolio management, and community. Among these, the three elements of learning and competence, course and career, and portfolio management are assessed as excellent and differentiated from traditional ePortfolios. The study also developed a printout-based prototype of ePortfolio system and provided authentic guide for the ePortfolio system. At the same time, the result of the study contributed to increasing the sense of the developmental direction of the ePortfolio in the institute.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.30 no.2
• /
• pp.117-144
• /
• 2019

Today, interest in health information has risen overall due to the aging society, increased public interest in the quality of life, and the increased state's interest in reducing medical costs. Accordingly, efforts have been made across the library and information science in terms of academic research, libraries in terms of providing health specialized services, and the state, yet policies and strategies for providing the health related information in an integrated and systematic manner through the libraries have not been proposed with clarity to date. Thus, this study aimed to propose a method to provide the health information in an integrated manner by the libraries through the previous studies, policy studies, and case studies. Consequently, it proposes to build a system to integrate the health information, build an overall database of the health related information, develop and operate a health specialized library program, operate a general support center for the health information service, and build a cooperative network among the related departments and institutions for the health information service. The details proposed by this study is likely to contribute to developing services for improving the health of the citizens of this country.

• The Korean Journal of Archival Studies
• /
• no.56
• /
• pp.81-112
• /
• 2018

Government publications at public institutions are data that are intended to convey the purpose of an institution or the performance of its business to the public or inside the institution. The management of government publications has become increasingly important under the framework of laws and systems, but matters concerning the nature and value of government publications have not been carried out at records management sites. The Act focused on the archives of the six metropolitan government, and presented issues and improvement measures for efficient management of government publications. To that end, the government should maintain a consistent payment system for publications. As payment method and payment book data in government publications are presented differently by law, a system for integrated management should be established to provide brief information and original information. Second, it is necessary to establish an administrative system that meets the storage environment. The publication registration and payment book system presented by the government's publication guidelines is the central system of the National Archives and Records Service, so it is not an efficient system in the agency archives. Third, support should be provided to recognize the value of government publications and to preserve and manage them in the long term. To dispose of the government publications, a realistic classification method, integrated and controlled program should be presented, and criteria for users using the service should be provided. Fourth, it is the establishment of an integrated management system for government publications. The National Archives Service, the National Central Library, and the National Assembly Library should simultaneously build an abstract of information and original information so that they can be managed systematically and efficiently.

• Journal of agricultural medicine and community health
• /
• v.30 no.2
• /
• pp.227-240
• /
• 2005

Health promotion has more comprehensive approaches in recent years. Nevertheless we accept the concept of health promotion differently, we are agree on that community is the most important field in health promotion which includes population at the aspect of health policy, individual skill and, environment. And there are a number of different approaches to health promotion. In them, 'population approaches' and 'high -risk group approaches' has the most different characteristics. 'Population approaches' is equally important or more important than 'individual approaches' for maintaining and promoting population health. Almost part of this article contents is the summary of the guideline and population strategy of health promotion in Korea, 1999 - 2005. Community based health promotion program should be reinforced, integrated, comprehensive, collaborative through efficiently utilizing community resources. Recent new orientation of community health program is integrated health program, we can find this orientation at Ottawa charter 1986. Comprehensive approaches with the determinant factors for health are essential task. Physical activity is a key health determinant. The population-health approach suggests that educating people about physical activity is not enough. Individual behavior changes are important too, but need to be balanced with strategies for environmental change. Population strategy with physical activity for health promotion should be developed through improving social and physical supportive environment, linking and integrating community resources between public and private sectors in national, regional and local level. Continuous public education and social marketing should be provided through collaborating with community physical activity organization, facilities, work-places and school for increasing concern of all the people of community about physical activity. Governments, agencies and citizens should held and participate to building movement. And the strategy that various 'active for life' program should be developed, delivered, maintained and reinforced continuously. Basically, adequate and sufficient financing, developing human resources, policies and legislation would be provided and supported fully too. At last, research development and knowledge exchange are required domestically and internationally. In Korea, we had classified the category of strategic priority of physical activity programs by environmental support, life-course approach, high-risk group approach and disease group approach for physical activity program based on community health center. Community based core programs for physical activity that includes infrastructure building and establishment of supporting environment, community campaign, health promotion education and public service announcement, physical activity programs for elderly and obesity, exercise prescription program.

• Journal of Intelligence and Information Systems
• /
• v.21 no.1
• /
• pp.29-45
• /
• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• Journal of Intelligence and Information Systems
• /
• v.18 no.1
• /
• pp.125-141
• /
• 2012

These days, the malicious attacks and hacks on the networked systems are dramatically increasing, and the patterns of them are changing rapidly. Consequently, it becomes more important to appropriately handle these malicious attacks and hacks, and there exist sufficient interests and demand in effective network security systems just like intrusion detection systems. Intrusion detection systems are the network security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. Conventional intrusion detection systems have generally been designed using the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. However, they cannot handle new or unknown patterns of the network attacks, although they perform very well under the normal situation. As a result, recent studies on intrusion detection systems use artificial intelligence techniques, which can proactively respond to the unknown threats. For a long time, researchers have adopted and tested various kinds of artificial intelligence techniques such as artificial neural networks, decision trees, and support vector machines to detect intrusions on the network. However, most of them have just applied these techniques singularly, even though combining the techniques may lead to better detection. With this reason, we propose a new integrated model for intrusion detection. Our model is designed to combine prediction results of four different binary classification models-logistic regression (LOGIT), decision trees (DT), artificial neural networks (ANN), and support vector machines (SVM), which may be complementary to each other. As a tool for finding optimal combining weights, genetic algorithms (GA) are used. Our proposed model is designed to be built in two steps. At the first step, the optimal integration model whose prediction error (i.e. erroneous classification rate) is the least is generated. After that, in the second step, it explores the optimal classification threshold for determining intrusions, which minimizes the total misclassification cost. To calculate the total misclassification cost of intrusion detection system, we need to understand its asymmetric error cost scheme. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, total misclassification cost is more affected by FNE rather than FPE. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 10,000 samples from them by using random sampling method. Also, we compared the results from our model with the results from single techniques to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell R4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on GA outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that the proposed model outperformed all the other comparative models in the total misclassification cost perspective. Consequently, it is expected that our study may contribute to build cost-effective intelligent intrusion detection systems.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.12
• /
• pp.7224-7230
• /
• 2014

This study attempted to identify the health-related quality of life and its related factors in urban elderly women. This study used the data of the 2011 Community Health Survey. The subjects of this study were 704 elderly women. Based on the literature review, this study examined variables with health-related quality of life and construct integrated conceptual framework of the study. For data analysis, SPSS 18.0 and LISREL 8.8. were used to calculate the percentage, mean, standard deviation, Spearman correlation, and path analysis parameter. The total mean EQ-5D index score was $0.81({\pm}0.20)$ and the major problems were pain/discomfort (62.5%) and mobility (53.9%) and normal activity (38.9%). The model showed a goodness of fit to the empirical data. Age, income, health promotion behavior, social support, physical health and mental health had significant direct effects on EQ-5D and age, income, health promotion behavior and social support had indirect effects on EQ-5D. These variables explained 28% of the variance of EQ-5D. To improve the quality of life in urban elderly women, it is essential to have a comprehensive program for elderly women.

• Industry Promotion Research
• /
• v.5 no.1
• /
• pp.35-45
• /
• 2020

Korea's social cooperatives were enacted by law in December 2012. However, it is in the process of being settled and has not been established institutionally. So social cooperatives are failing. The purpose of this study is to reduce these failures. To this end, this study distinguished between co-operatives and social co-operatives. Also, the characteristics and concepts were identified. That is why we want to help our social cooperatives in Korea. The results based on the literature research are as follows. First, in order for domestic social co-operatives to be sustainable, the seven principles of co-operatives must be observed. In particular, the sixth principle is important. It is important to form a social cooperative association and to communicate with local cooperatives. Their communication is less likely to fail because they can share management support information, education, promotion, and strategies. Second, there is a need for a plan that can be applied not only to the government but also to general enterprises in order to support social co-operatives. Third, related policies of the government and the private sector should be designed and managed in an integrated manner to promote social cooperatives. Fourth, public relations should be promoted through campaigns to inform the public that the meaning of social cooperatives is for the public good. In addition, the government needs to build a program that fosters professionals who can foster social co-operatives. In conclusion, it is meaningful that this study suggests possible ways to develop social co-operatives in Korea, and provides support to the Korean government.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
• /
• v.33 no.5
• /
• pp.405-418
• /
• 2007

Mesenchymal stem cells(MSCs) have been though to be multipotent cells that can replicate that have the potential to differentiate into lineages of mesenchymal tissue including the bone, cartilage, fat, tendon, muscle, and marrow stroma. Especially, scaffolds to support cell-based tissue engineering are critical determinants of clinical efforts to regenerate and repair the body. Selection of a matrix carrier imvolves consideration of the matrix's role as a scaffold for physical support and host tissue integration as well as its ability to support of synergize the osteoinductive program of the implanted mesenchymal stem cell. The aim of this study is to evaluate the effect of autobone and Bio-$Oss^{(R)}$ to adherent mesenchymal stem cells as scaffolds on sinus augmentation with fibrin glue mixture in a rabbit model. 16 New Zealand White rabbits were divided randomly into 4 groups based on their time of sacrifice(1, 2, 4 and 8 weeks). First, mesenchymal stem cells were isolated from iliac crest marrow of rabbits and expanded in vitro. Cell culture was performed in accordance with the technique described by Tsutsumi et al. In the present study, the animals were sacrificed at 1, 2, 4 and 8 weeks after transplantation, and the bone formation ability of each sides was evaluated clinically, radiologically, histologically and histomorphologically. According to the histological observations, autobone scaffolds group showed integrated graft bone with host bone from sinus wall. At 2 and 4 weeks, it showed active newly formed bone and neovascularization. At 8 weeks, lamellae bone was observed in sinus graft material area. Radiologically, autobone with stem cell showed more radiopaque than Bio-$Oss^{(R)}$ scaffolds group. there were significant differences in bone volume between 4 and 8 weeks(p<0.05).

• Journal of Environmental Impact Assessment
• /
• v.32 no.2
• /
• pp.61-71
• /
• 2023

As differences in the impact of each species on a spatial scale occur, analysis at the landscape scale is necessary to evaluate the impact of a development project. In previous studies, the Incidence Function Model (IFM) based on meta population theory was used to analyze the impact of species on the environment that changes according to urban development. However, since the model was required at least 10 occupied areas, it is difficult to use it for species that are difficult to monitor such as endangered species. Therefore, we proposed the Incidence Function Model (IFM) using species distribution model to fill the species data. In addition, we reviewed whether the developed model can be used in environmental impact assessment. As a result of the analysis, the minimum occupancy of Prionailurus bengalensis on urban development decreased to 56.5% and the possibility of survival to 28.7%. We confirmed that It rapidly decreased from the reference points of 230 and 70habitats through analysis of the meta-population capacity according to the decrease in the number of habitats. These results can be assessing the environment impact of each species on habitat loss. And it can support decision-making on the minimum number and area of habitat for species protection. This study is expected to be used as basic data for environment impact assessment on before and after development projects and mitigation measures plans, thereby increasing the effectiveness of reduction plans.