• Journal of Korea Multimedia Society
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• v.14 no.12
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• pp.1601-1612
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• 2011

In recent years, advanced in digital technologies have created significant changes in the way we reproduce, distribute and market Intellectual Property (IP). DRM for multicast contents is complicated risk, the further technology development and human demand, this approaching is still being researched by the scientist and all by the company which is conducting in piracy management reduced, and every country has national policy to make this consortium to limit piracy properties, based on this paper research development, just only two approaching to reduce piracy in DRM they are Industrial Property (IP) and Copyright. In this paper, we are not only figuring and analyzing about the processes to reduce and limit the piracy and unprotected copy law but also describing about the encryption process, watermarking and digital signature process algorithms. The basic concepts of this encryption process for web-based multicast content in DRM are implemented in Java. We conduct this method is a computerized through web based application system approaching to reduce unprotected copy and piracy. Which is used in DRM for multicast content in every section, by providing a fundamental in information technology development, we believe this research is reliable to prove that is unprotected copy, and piracy can be reduced by protecting with this paradigm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.7
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• pp.1149-1159
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• 2008

Since the demand for radio wave due to proliferation of radio wave communication is increased rapidly, policy for efficient use of radio wave is a challenge of sustainable research for technology development in this field with focus on service supply and distribution. Therefore, this paper analyzed and reviewed radio wave related international agreements and overseas institutions and policies, and proposed the improvement method for systematic and efficient countermeasure on radio wave management policy and system according to radio wave promotion policy circumstance changes, radio wave environmental change and technology development.

• Fashion & Textile Research Journal
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• v.20 no.6
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• pp.629-644
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• 2018

Global fast fashion brands have been popular and most of them have entered the Korean market. With their success, Korean apparel companies launched domestic fast fashion brands; however, recently they have become fiercely competitive, and consumers are demanding better design and quality and cheaper prices than before. The purpose of this study is to explore consumer purchasing behavior of the global as well as domestic fast fashion brands sold in Korea and to suggest marketing strategies for the brands sold in Korea. The study includes interviewing 61 Korean consumers to ask about their purchasing behavior and experiences. This study found four themes from these in-depth interviews: 1) demand of product glocalization which considers both globalization and localization for better style, quality, and assortment plan, 2) satisfaction with the reasonable price range of fast fashion brands but dissatisfaction with price discrimination among countries, 3) importance of easy, comfortable, and convenient accessibility to fast fashion brands, and 4) preference for good brand reputation related to corporate social responsibility(CSR) and nationality. From these four themes, this study developed the four elements of the marketing mix: product, price, accessibility, and reputation to adapt to a new marketing environment that emphasizes the development of information technology, consumer-centric marketing, and corporate ethics. The findings of this research could contribute useful information to both global and domestic fashion companies as well as consumers.

• Journal of Cadastre & Land InformatiX
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• v.45 no.1
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• pp.17-30
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• 2015

Local governments' spatial information policies are very important in that it can increase the relatedness to upper policy regarding the share, openness and converged utilization of spatial information and contribute to voluntary participation and creative uses linked to big data. However, local governments' spatial information policies require enhancement since it need to update framework spatial data, to derive spatial information service and to share the data. In this research, we compared the spatial information policies and related systems of central and local governments, and analyzed the local governments' spatial information policy enforcement plans and the Seoul metropolitan government's utilization survey on 32 spatial information systems. In the result, for the improvement of local governments' spatial policies, on-demand updating of base map using the as built drawings linked to field work departments, securing up-to-date public domain spatial information through the NSDI system, sharing of spatial information based on the spatial information platform and benchmarking of best practices related to the spatial information based policy participation are suggested.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.2
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• pp.179-195
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• 2020

This study searched for the status of medical Systematic Review(SR) publications in Korea and elsewhere for last 10 years, closely analyzing SR research papers by co-authors of Korean librarians. Through interviews with Korean librarians participating in SR, the activities, roles, and difficulties of these librarians were identified, and the results of the interviews helped explore new ways to promote collaboration in SR research. The result of the studied showed that the number of domestic and foreign SR studies has recently increased, and the number of cases where Korean librarians participated in SR research being officially credited as a co-author or acknowledgment source was also grow. The SR librarians in the Korean medical libraries were not only search experts, data collectors, and reference writers, but also did various activities such as designing search strategies, SR search records with complete reproducibility, and DB search tutorship. To promote SR support librarians participated in the interview suggested recruiting new librarians, retraining current librarians, and reformation courses in library and information science. As it is expected that the level of information demand of users and expectations for librarians would also increase in near future, SR librarians' activities and contributions seem to offer a guideline for academic library services that the others should pursue.

• Journal of Nutrition and Health
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• v.43 no.5
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• pp.533-542
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• 2010

The objective of this study is to provide basic information and policy implications needed to balance the supply and demand for dietitian by projecting supply and demand for dietitian. The data from the Ministry of Health Welfare and Family on the number of licensed nutritionist, resident registration data of the Ministry of Public Administration and Security, and health insurance qualification data of the National Health Insurance Corporation were used to examine the current status of supply. To project the supply of nutritionist workforce, the in-out moves method and demographic method were used. The ratios of nutritionist to population and GDP, and that of other countries were applied as the demand projection method. According to the study results, the projection on the imbalance of supply and demand for dietitian by year 2021 differs depending on the method used. First, according to the results based on age-adjusted population ratio, there is an oversupply of 1,643 dietitians in year 2010, and 2,076 dietitians in year 2020. Second, although the projection on the imbalance of the supply and demand for dietitian differs depending on whether the GDD is calculated in won(￦) or dollar($). it is expected that there will be an oversupply in general. Third, as to the scenario using the nutritionist ratio in foreign countries, the oversupply of dietitian is likely in Korea, under any scenario, when comparing the nutritionist supply projection with the demand projection based on the nutritionist ratio in the United States. However, the projection of the supply and demand varies in each scenario when the European nutritionist ratio is applied. Under European 'scenario 1', an oversupply is expected, whereas under 'scenario 2', a shortage of supply is expected. A careful approach is required in interpreting the supply and demand projection using criteria of other countries, because dietitian assumes different roles and functions in each country. Although a slight oversupply of nutritionist workforce is projected, it does not cause a major problem as the demand for diet therapy is expected to rise due to aging and the increase of chronic diseases, and as the demand for clinical dietitians in hospitals increases. Accordingly, the demand for dietitians will rise and, in this context, the oversupply of nutritionist will not incur much problem. However, the nutritionist qualification is much too open in Korea, and this has a negative effect on the quality of the nutritionist workforce. Therefore, it is important that the nutritionist qualifications and requirements are reinforced in the future, enhance the quality level of the nutritionist supply, and maintain the balance between the supply and demand.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.494-513
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• 2019

A multi-channel access problem based on hypergraph model in ultra-dense small cell networks is studied in this paper. Due to the hyper-dense deployment of samll cells and the low-powered equipment, cumulative interference becomes an important problem besides the direct interference. The traditional binary interference model cannot capture the complicated interference relationship. In order to overcome this shortcoming, we use the hypergraph model to describe the cumulative interference relation among small cells. We formulate the multi-channel access problem based on hypergraph as two local altruistic games. The first game aims at minimizing the protocol MAC layer interference, which requires less information exchange and can converge faster. The second game aims at minimizing the physical layer interference. It needs more information interaction and converges slower, obtaining better performance. The two modeled games are both proved to be exact potential games, which admit at least one pure Nash Equilibrium (NE). To provide information exchange and reduce convergecne time, a cloud-based centralized-distributed algorithm is designed. Simulation results show that the proposed hypergraph models are both superior to the existing binary models and show the pros and cons of the two methods in different aspects.

• Informatization Policy
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• v.18 no.4
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• pp.42-58
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• 2011

This paper starts from one question: what are the key factors of the web accessibility policy, which is significant for realizing equity in the web and enhancing human dignity in the information society. To find significant factors for complying with web accessibility, this paper analyzes panel data of 16 Korean local governments (for five years: 2004-2009) according to the research design which is based on the demand and supply balance model and consists of four variables : 'legal and institutional environment (including legal infrastructure)', 'financial foundation (fiscal self-reliance ratio)', 'policy inputs (amount of imformatization budget, employee of information experts)'and 'policy demand (internet usage rate, the number of disabled people and elderly people)'. From the results of this study, this paper can explain the mechanism and impact factors on the web accessibility policy of Korean local governments. Some factors are critical to improve web accessibility: (1) the importance of policy demand, (2) the importance of policy inputs, (3) the importance of legal and institutional environment. Finally, this paper concludes with some suggestions to enhance the web accessibility capacity for Korean local governments: (1) improve awareness on web accessibility, (2) develop a standard and invest R&D on web accessibility, (3) foster experts in web accessibility.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.43-57
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• 2012

To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.441-444
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• 2006

통신기술의 급격한 발전, 유비쿼터스에 대한 시장수요 증가, 신규 시장창출을 위한 비즈니스 전략이 결집되어 유무선 융합의 패러다임이 전개되고 있으며 유선의 전송속도와 무선의 이동성을 결합한 와이브로는 유무선 융합을 주도할 서비스로 부각되고 있다. 2006년 상반기에 상용화 될 예정인 와이브로가 안정적인 가입자 기반으로 조기에 시장확산을 이루기 위해서는 동시기에 출시될 HSDPA에 비하여 차별적 지위를 확보하고 기존 서비스와의 관계를 정립하기 위한 포지셔닝 전략이 요구된다. 이에 본 연구에서는 소비자 설문조사를 통해 와이브로의 시장수요를 HSDPA와의 관계 분석을 바탕으로 전망하며 기존 서비스와의 대체 또는 보완 관계를 파악하여 와이브로의 시장위상을 예측하였다. 분석결과 첫째, 잠재적 이용자가 인식하는 와이브로의 서비스 역량은 HSDPA에 비하여 전송속도와 이용요금에서 차별적 우위를 나타냈으며 둘째, 와이브로는 HSDPA에 비하여 가입자 규모에서 상대적인 우위를 보였으며 두 서비스의 가입 영향요인은 상이하였다. 마지막으로 와이브로는 초고속인터넷과는 보완 관계를, 이동전화 무선인터넷과 공중 무선랜과는 대체 관계를 형성하는 것으로 나타났다.