• Journal of Digital Convergence
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• v.9 no.3
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• pp.1-10
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• 2011

Our country does not currently have a concrete policy for the management and preservation of the scientific dataset on the national level. The scientists and the research groups that are implementing a research project are not capable of searching or sharing the information about the dataset. In this situation where there is a major increase in the number of researches that use digitalized dataset, being able to share and reuse the scientific data amongst researchers is recognized to be very important. Therefore our country needs a new formulated policy that manages scientific data on the national level. This paper helps to find the implications of the strategic planning in our country by analyzing previous advanced case studies done by foreign countries. We selected Australia as our subject because its intensive government-driven research environment, research infrastructure and information service are very similar to Korea. To be specific, we analyzed ANDS (Australian National Data Service) and drew out the implications that could be applied to our country also. And finally we propose the basic principles that needs to be mirrored when formulating a policy on our country's scientific data.

• The Journal of Korean Association of Computer Education
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• v.10 no.6
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• pp.51-59
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• 2007

According to developments in info-communication, the recent educational paradigm asks not for a passive transmitter but an active constructor who can solve a variety of complicated problems in real situations. Such a change asks for an educational setting which includes sharing ideas and information rather than simply possessing them. Learning through presentation has many problems including few presentation opportunities as well as the reuse of presentation data. This study suggests such strategies as promoting interactions through presentations and the practical use of these strategies in class. For this, the role of the presentation data provider and learner, and strategies to implement the step by step learning support system have been suggested. Using presentations, as described in this study, allow for communication with students outside the original class time and location. The degree of learning students experience through presentations is expected to be high.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.4
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• pp.93-104
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• 2006

This paper tries to implement BOM calculation effectively by sharing the data in CAD management system and BOM systems. For this purpose, a component-based software system in this thesis was implemented by using CAD drawing systems. It can be found from this research that errors happened were reduced sharply. Especially, the BOM calculation period was cut from 2 weeks to 2days, and at the same time, the correct rate achieved 95%. Moreover, there are some following effects of our implemented system: First of all, because component development method was adopted in this paper, it makes program easy to reuse, to keep/maintenance as well as modify. Second, long-distant management is possible by using web-based development method. Third, data management is made effective by constructing image and tort database. Fourth drawing management is systemized, Finally, the system is suitable for companies.

• Journal of Broadcast Engineering
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• v.23 no.4
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• pp.536-548
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• 2018

Public data has been transformed from provider-oriented information disclosure to a form of personalized information sharing centered on individual citizens since government 3.0. As a result, the government is implementing policies and projects to maximize the value of public data and increase reuse. This study analyzes the issues related to public data in the news and seeks the status of government agencies and government projects by issue. We conducted semantic analysis on domestic online news and public agency bidding information including public data and conducted the work of linking major key words derived with social and economic values inherent in public data. As a result, major issues related to public data were divided into broader access to public data, growth of new technology, cooperation and conflict among stakeholders, and utilization of the private sector, which were closely related to transparency, efficiency, participation, and innovation mechanisms. Also major agencies of four issues include the Ministry of Strategy and Finance and Seoul, Ministry of Culture, Sports and Tourism and Gyeonggi-do, Ministry of Trade, Industry and Energy and Incheon, and Ministry of Land, Infrastructure and Transport and Gyeongsangbuk-do. Most of the issues are being led by the government.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.325-350
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• 2023

This study focuses on the impact of research data metadata quality evaluation index on the revitalization of K-BDS, a research data platform in the bio field, and examines the mediating effect of motivation factors for utilizing the platform. The investigation employs a structural equation model analysis and bootstrap analysis to explore the interrelationships among the three variables. The findings demonstrate that researchers who prioritize the quality of metadata display higher motivation to use the research data platform, leading to an intention to activate the platform. The study also confirms the mediating effect of motivation factors. Moreover, a comprehensive understanding of the sub-factors within each variable is attained through regression analysis and Sobel test. The results highlight that enhancing searchability is crucial to activate research data sharing in the bio field, while improving discoverability is vital for research data reuse. Interestingly, the study reveals that citationability does not significantly impact platform activation. As a conclusion, to foster platform activation, it is imperative to provide systematic support by enhancing metadata quality. This improvement can not only increase trust in the platform but also institutionally solidify the benefits of citation.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.606-610
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• 2010

In order to provide effective studies in accordance with the shifts in learning paradigms, an LD Publication engine, which is the former engine from the Learning Design (LD) based learning management system, was designed and implemented. The LD Publication engine analyzes the learning contents packages that have been prepared based on the LD and analyzes the constructions and meanings of the information files that describe learning activities in order to model them. The modeled data are fragmentized into effective and accessible forms from in the learning management systems and are then put into the database. LD based learning management systems provide learning effects and learner convenience designed to provide learners with a high performance learning platform. In addition, they will activate the development of content through the reproduction, reuse and sharing of the learning content, which will contribute to the expansion of infrastructures. These systems are also designed to enable linkages among learners' competences, preferences and portfolio, and thus the systems can be easily expanded.

• The Transactions of the Korea Information Processing Society
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• v.3 no.1
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• pp.144-152
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• 1996

Recently, as the demands for radio spectrum are growing and the number of cell sites is increasing rapidly, the spectrum engineering plays an important role in estimating frequency sharing and reuse. The radio propagation analysis is essential in the basic technology of radio network design such as deciding the service area and selecting the position of the base station. But, domestic propagation environment in which mountainous region is occupying over 70% of our terrain does not allow us to apply foreign studies which are deduced in highly different environments. Therefore, we need to have our propagation analysis system derived from our own terrain condition. In this paper, we propose the propagation prediction model which issuitable toour propagation environment, and also usinghis model, we implement thesimulator based on GIS(Geographic Information System)which can be applied to both spectrum engineering and radio propagation analysis. We showed that this simulator can well be applied to frequency assignment, propagation network design as well as other radio services. Considering the results of our analysis, we could guarantee the standard deviation of error between the measured data and predicted results as 5 to 7 dB.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2707-2712
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• 2012

Desktop-based computing environment is changed into mobile computing using smart phone and cloud computing providing common behavior and big data by network. Because of this transformation software development and operating environment is changed into heterogeneous distributed environment. As a result, dynamic service composition or changement is required. However, there is few research of techniques supporting service composition or changement dynamically in this situation. This paper suggests a technique for customizing services dynamically of mobile applications based on android platform. Especially we propose a customization technique of service by applying ontology technique to improve sharing and reuse of service. We applied proposed technique into meeting notification system, and obtain that it can be customized into various services such as email, sms, twitter service, and so on.

• Journal of Korean Home Economics Education Association
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• v.27 no.4
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• pp.141-154
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• 2015

The world has been demanding a green growing world in order to solve serious environmental pollution and resource depletion. This study aims to identify life style factors that drive eco-friendly clothing practices and efficacy in middle school students. Data was collected from 215 middle school students in Daegu, using a self-administered questionnaire in December 2013. Statistical analyses to determine frequency, average, ANOVA, factor analysis, reliability analysis, and regression analysis were performed using SPSS 21 program. The results of factor analysis indicated that eco-friendly clothing practices were classified into purchasing and management, reuse, washing, and recycle, and eco-friendly clothing practices efficacy was sub-grouped into practice confidence, purchasing and management efficacy, and washing and sharing efficacy, and life style consisted of fashion pursuit, environment pursuit, planned purchasing, and economy. Eco-friendly clothing practices and efficacy were significant differences in sex and grade (p<0.05). Eco-friendly clothing practices were significantly affected by the factors of environment pursuit, planned purchasing, economy of life style, and the factors of practice confidence, purchasing and management efficacy, and washing and sharing efficacy of eco-friendly clothing practices efficacy (p<0.05). The planned purchasing factor of life style significantly affected all the factors of eco-friendly clothing practices efficacy. This study suggests that eco-friendly clothing practices education program could account for the life style factors such as fashion pursuit, environment pursuit, planned purchasing, and economy with gender and grade to be effective for middle school students.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.10
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• pp.421-428
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• 2017

The need for various approaches to non-face-to-face identification technology for registering and authenticating users online is being required because of the growth of online financial services and the rapid development of financial technology. In general, non-face-to-face approaches can be exposed to a greater number of threats than face-to-face approaches. Therefore, identification policies and technologies to verify users by using various factors and channels are being studied in order to complement the risks and to be more reliable non-face-to-face identification methods. One of these new approaches is to collect and verify a large number of personal information of user. Therefore, we propose a big-data based non-face-to-face Identity Proofing method that verifies identity on online based on various and large amount of information of user. The proposed method also provides an identification information management scheme that collects and verifies only the user information required for the identity verification level required by the service. In addition, we propose an identity information sharing model that can provide the information to other service providers so that user can reuse verified identity information. Finally, we prove by implementing a system that verifies and manages only the identity assurance level required by the service through the enhanced user verification in the non-face-to-face identity proofing process.