• 지능정보연구
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• 제6권1호
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• pp.73-82
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• 2000

This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

• 한국주거학회논문집
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• 제15권2호
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• pp.27-34
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• 2004

The purpose of this study has two folds. For the local government it gives a guide to establish the housing information system, which provides various housing information in order to promote service to the public on Internet. It also gives a guide for the local government to collect the fundamental data from local housing market and provide them to the policy makers as well as the housing producers (landlords, builders and owner-occupiers). Contents of housing information system website for the local government consist of three main parts. The first part provides housing policy and local housing market information to the upper level local government as well as housing producers. The second part provides housing information for the people who are looking for houses to move the own. Final part provides the procedures of building construction and development plan for landlords to the public. In case of Pyongtaek-City, this study makes them by cluster analysis of houses and households moving pattern as the Internet contents. Housing markets of Pyongtaek-City divide 3 sectors by housing type, tenure type and housing supply ratio etc. And populations prefer to move intra sectors. According to this information, policy-makers should define local housing problems and find solutions and housing producers can supply the house just in sites and in time. In conclusion, local government should provide valuable housing information based on local housing market research to the public for the effective housing policy. As local housing market is formed by various factors it is needed for local government to research housing sub-markets due to apply these research results to the local government for the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권7호
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• pp.1610-1623
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• 2013

In-network caching is a key component of information-centric networking (ICN) for reducing content download time, network traffic, and server workload. Data center network (DCN) is an ideal candidate for applying the ICN design principles. In this paper, we have evaluated the effectiveness of caching placement and replacement in DCN with butterfly-topology. We also suggest a new cache placement policy based on the number of routing nodes (i.e., hop counts) through which travels the content. With a probability inversely proportional to the hop counts, the caching placement policy makes each routing node to cache content chunks. Simulation results lead us to conclude (i) cache placement policy is more effective for cache performance than cache replacement, (ii) the suggested cache placement policy has better caching performance for butterfly-type DCNs than the traditional caching placement policies such as ALWASYS and FIX(P), and (iii) high cache hit ratio does not always imply low average hop counts.

• Journal of Communications and Networks
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• 제3권4호
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• pp.342-350
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• 2001

The Internet routing instability, or the rapid fluctuation of network reachability information, is an important problem currently facing the Internet engineering community. High levels of network instability can lead to packet loss, increased network latency, and delayed routing convergence. At the extreme, high levels of routing instability can lead to the loss of internal connectivity in wide-area networks. In this paper, we investigate the variation of domain degree and domain count of the inter-domain network over time by using linear regression model in order to analyze the topology variation of inter-domain network. We Also propose an efficient policy management model to reduce the instability in the inter-domain routing system. The proposed model can be used to identify whether a routing policy is adequate to reduce convergence time that is required to return to a normal state when BGP routing instability happens. Experimental analysis shows that the proposed model can be used to set up routing policy in domains for the purpose of minimizing the effects and the propagation of BGP routing instability.

• Journal of applied mathematics & informatics
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• 제15권1_2호
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• pp.511-525
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• 2004

we model communication and computer systems that process interactive and several and several types of background jobs. The scheduling policy in use is to share the processor among all interactive jobs and, at most, one background job of each type at a time according to the process sharing discipline. Background jobs of each type are served on a first-come-first-served basis. Such scheduling policy is called Processor Sharing with Background jobs (PSBJ). In fact, the PSBJ policy is commonly used on many communication and computer systems that allow interactive usage of the systems and process certain jobs in a background mode. In this paper, the stability conditions for the PSBJ policy are given and proved. Since an exact analysis of the policy seems to be very difficult, an approximate analytic model is proposed to obtain the average job sojourn times. The model requires the solution of a set of nonlinear equations, for which an iterative algorithm is given and its convergence is proved. Our results reveal that the model provides excellent estimates of average sojourn times for both interactive and background jobs with a few percent of errors in most of the cases considered.

• International Journal of Advanced Culture Technology
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• 제5권3호
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• pp.56-66
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• 2017

E-Government is an administrative innovation that utilizes information technology and is the most powerful means to strengthen government competitiveness. At this moment, countries around the world are continuously improving government competitiveness by continuously implementing government innovation through the implementation of e-Government. Many scholars argue that e-Government should be changed in response to the Fourth Industrial Revolution. Therefore, Korea adopted the government 3.0 instead of the e-Government and promoted the information policy. But the result was a failure. Korea was once a leading country in e-Government, but now it is falling due to government 3.0. The reason can be analyzed in various ways. First of all, over the past decade, Korea's e-Government has been neglected without obtaining the permanence of policy. And the Korea government pursued a new strategy under the name of disconnecting from the past and lost policy permanence. Therefore, future information policy, especially e-Government policies, should be pursued from a politically neutral point of view. The lesson of government 3.0 failure in Korea is clear. Regardless of the government's replacement & regime change, the information policy should be pursued with consistency.

• East Asian mathematical journal
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• 제27권1호
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• pp.23-33
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• 2011

Due to underutilization of spectrum under current inefficient and static spectrum management policy, various kinds of opportunistic spectrum access (OSA) strategies have appeared. Myopic policy is a simple and robust OSA strategy with reduced complexity that maximizes immediate throughput. In this paper, we propose mathematical models to evaluate the throughput and the MAC delay of a myopic policy under saturation tra c conditions. Using the MAC delay distribution, we evaluate the packet delay of secondary users under nonsaturation conditions. Numerical results are given to show the performance of the myopic policy in cognitive radio networks.

• 가정과삶의질연구
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• 제22권5호
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• pp.319-329
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• 2004

The purpose of this study is to suggest family policy for enactment of Healhty Family Act. Throuh this thesis 2 points are suggested. One point is the orientation and subjects of family policy are contextulized by governancial policy viewpoint. Another point is that family supporting programs are able to povided by 6 areas : Fostering family network and community and family culture, Protecting family(home) and family functin, Developing family strength, Preventing family problems and recovering family(home), Providing information for healthy family and Intigrating of network-nation policy, local government, community and family etc.

• 한국문헌정보학회지
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• 제47권4호
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• pp.125-142
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• 2013

이 연구는 정보환경의 변화와 대학도서관에 있어서 전자정보원의 비중 증가, 그리고 이용자 요구의 변화 등에 따라 대학도서관에서 그 중요성이 증가하고 있는 전자자원관리정책의 모형을 제안하고자 한 연구이다. 이를 위해 우선 전자자원의 정의와 유형 전자자원관리정책의 개념과 기능, 그리고 필요성을 정의하였다. 다음으로, 전자자원관리정책의 구성요소를 도출하였는데 이를 위해 국제도서관협회연맹(IFLA)의 전자자원개발정책 가이드라인과 미국의 대학도서관들이 실제로 수립, 공개하고 있는 전자자원관리정책 사례, 그리고 관련연구들을 바탕으로 구성요소를 선정, 취합하였다. 이 결과를 종합하여 전자자원관리정책의 구성요소별 우선순위를 정하고 가상의 대학을 대상으로 전자자원관리정책 모형을 제안하였다.

• 한국임상약학회지
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• 제24권3호
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• pp.183-192
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• 2014

Purpose: This study was aimed to identify the status of utilization of healthcare services and self-care behaviors, knowledge level and influencing choice factors of non-prescription drugs (OTCs) on consumers since sales of OTCs at the outside of pharmacy in Korea, and to confirm the changes in perception of consumers for OTCs policy through check of perception level for current OTCs policy. Methods: Data was collected from April 2014 to May 2014 from questionnaires by 418 adults who are in university located in Seoul or live in Seoul Metropolitan area but not health science major and healthcare providers. Results: The female gender was 56.6% and University students were 73.9%. The ratio by age was as follows: below 25 (60.9%), 26-30 (18.2%), 30-40s (14.9%) and 50-60s (6.0%). The knowledge level of OTCs for use of medicine, dose and side effects was generally low and especially they knew little how to deal with side effects after taking OTCs on sale at the outside of pharmacy, even though over one year has passed since the policy. The proportion of those who thought the current OTCs policy has problems regarding safety issues since the policy was very high and it was also high that the study group thought there are problems with the current way to sale OTCs and educate employees. Conclusion: After selling OTCs at the outside of pharmacy, the consumers still lacked knowledge of OTCs and did not get correct information properly. Especially, they had little information about the way to deal with side effects after taking OTCs. Public policy should be based on the health of the people and the public health is a national health priority. When all these things are taken into consideration, the government has to strengthen the OTCs policy and provide a safer environment with the accurate drug information for people than developing OTCs policy in the future.