• 아동학회지
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• 제22권3호
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• pp.31-48
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• 2001

This study was designed to examine various patterns of developmental change in children's recall, strategic behaviors, and meta-memory with a sort-recall task in relation to utilization deficiencies. Memory tasks consisting of 18 pictures were presented individually to 48 seven-year-old children in each of 7 sessions. Sessions 1 and 2 were baseline; Sessions 3 and 4 were for strategy training, including the organization group, the self-regulation group, the organization/self-regulation group and control group. Sessions 5, 6, and 7 were unprompted tests of strategy maintenance. Results showed significant differences between the 4 groups in their recall, strategy repertories and strategy evaluation. Findings were discussed in terms of the analysis of memory strategy and memory development.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.72-75
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• 2004

In this paper, the task assignment strategy considering communication delay and the priority of distributed tasks is proposed for the real-time network system in order to maximize the utilization of the system. For the task assignment strategy, the relationship among priority of tasks in network nodes, the calculation time of each task, and the end-to-end response time including the network delay is formulated firstly. Then, the task assignment strategy using the genetic algorithm is proposed to optimize the utilization of the system considering the LCM(Least Common Multiple) period. The effectiveness of proposed strategy is proven by the simulation for estimating the performance such as the utilization and the response time of the system in case of changing the number of tasks and the number of network nodes.

• Journal of Information Technology Applications and Management
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• 제21권1호
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• pp.53-67
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• 2014

In recent years, more data is being generated for the activation of the SNS, the spread of Smartphones and the development of IT technology. Therefore, it is to collect large amounts of data, analyze and ensure meaningful information has become important. The use of these data are formed on the global trend. Big data so-called, has attracted attention as a source of new business. Big Data can then give us the opportunity to be able to create a new customer and diversify the business. So, many companies have investment and effort for big data utilization. However, technology, infrastructure, human resources is different for each of the companies. Therefore, it is necessary to diagnose the level of big data utilization companies. In this study, through a literature review of existing, we derived the success factors for the big data utilization. And developed a diagnostic indicator that allows success factors derived, can be used to determine levels of big data utilization of the company. In addition, as a development of diagnostic indicators, were carried out case studies to diagnose company. Through this study, it will be an opportunity to be able to be reflected in the strategy of big data utilization company.

• KDI Journal of Economic Policy
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• 제45권1호
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• pp.33-68
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• 2023

The present article investigates empirically whether non-reciprocal trade preferences (NRTPs) offered by QUAD countries (Canada, the European Union, Japan, and the United States) to developing countries have helped to promote economic growth in the beneficiary countries. Two main blocks of NRTPs are considered here: Generalized System of Preferences (GSP) programs and other trade preferences programs. The analysis used a set of 90 beneficiary countries of NRTPs that are concurrently recipients of development aid over the period of 2002-2018. Using the two-step system generalized method of moments, the analysis indicated that while a higher degree of utilization of each of these two blocks of NRTPs has been associated with a high economic growth rate, development aid enhances this positive effect. This highlights the need for donors to support a development strategy based on the provision of both development aid and NRTPs if they are to help beneficiary countries to promote economic growth. Finally, when the positive economic growth effect of the utilization of NRTPs is higher, the result is a greater country's share of exports (under preferential tariffs) to QUAD countries out of their total merchandise exports.

• 항공우주정책ㆍ법학회지
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• 제spc호
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• pp.247-270
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• 2007

Space development and utilization must be conducted within a framework of "peaceful uses" principle under Space Treaty. Japan ratified the treaty in 1967, and interpreted "peaceful uses" as "non-military uses" then. A ghost of "peaceful uses" principle has been hung over Japan up to the moment. Japan's space development and utilization has been conducted with genuine academic interest, and therefore Japan did not introduce space infrastructures to national security policy and did not facilitate growth of space industry. When the Cold War ended, Northeast Asian security environment makes Japan difficult to maintain an interpretation as "non-military uses". Besides the change of external security environment, the domestic industry situation and a series of rocket launching failure needed reexamination of Japan's space policy. Japan is gradually changing its space policy, and introducing space infrastructure in a national security policy under a "generalization" theory that gave a broad interpretation of "peaceful uses" principle. Council for Science and Technology Policy (CSTP) adopted a basic strategy of Japan's space policy in 2004. Since then, a long-term report of Japan Aerospace Exploration Agency (JAXA), an investigation report of Society of Japanese Aerospace Companies (SJAC) and a proposal of Japan Business Federation (JSF) were followed. Japan will promote space development and utilization in national security policy with a "strictly defensive defense" strategy and "non-aggressive uses"principle for protection of life and property of Japanese people and stabilization of East Asian countries.

• 전자통신동향분석
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• 제35권7호
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• pp.56-66
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• 2020

As the development of artificial intelligence (AI) technology spreads to various industrial sectors, diversity in AI utilization rapidly increases, creating rich user experience. In addition, AI is required to solve various social problems through the use of public data. The spread of AI utilization across all sectors will continue, covering such industrial and public demands. This article examines the domestic and international trends in AI utilization technologies and establishes the direction of research and development (R&D), which is highly consistent with Korea's AI policy. ETRI, which leads AI's national R&D, has used its experience to establish AI R&D implementation strategies as well as technology roadmaps for the utilization of AI to improve individual quality of life, continuous growth in society, industrial innovation, and the solutions to public societal problems. In addition, it has derived tasks and implementation strategies for developing AI utilization technologies in 10 major areas including medical services.

• 한국환경복원기술학회지
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• 제15권4호
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• pp.111-118
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• 2012

The purpose of this study is to work out strategy for utilization of Environmental Conservation Value Assessment Map (ECVAM) using the user survey. It surveyed system users of ECVAM about its recognition and satisfaction. The results of the survey, the ECVAM became more popular and were highly satisfied with updated data. Especially, the study found a relationship between the satisfaction of ECVAM and accuracy, utilization, and convenience of the system. However, the satisfaction has a difference between user groups, a government official and a agent for EIA including researchers. The satisfaction of the agent group was affected by the convenience, the accuracy, and the utilization in order. In the other hand, the satisfaction of the government official group was affected by the utilization, the convenience, the accuracy, and recognition in order. Therefore, we need to adopt different strategies for educations of ECVAM and publicity activities depending on user groups. To increase the satisfaction of ECVAM, we should research not only to attain pinpoint accuracy, but also to suggest the guideline to utilize the map for a government official.

• 한국정보시스템학회지:정보시스템연구
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• 제16권4호
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• pp.33-49
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• 2007

The purpose of this study is to identify the interorganizational factors that influence both the supplier-buyer's EDI utilization and the business performance in domestic retail industry. In terms of successful supply chain implementation and operation, we deduced the structural factors in the context of the interorganizational characteristics between mass merchandisers and vendors. This study therefore focused on suggesting the ways of managing the partnership in supply chain and conceptualizing the big picture of EDI development model in the scope of a retailer's IT strategy. This paper implicates that it is important to leverage the level of organizational capabilities for the success of supply chain adoption and operation. In the stream of SCM initiatives from the manufacturing industry, retailers should concentrate on improving the interorganizational environment and implementing the effective information technology for supporting business strategy.

• 수산해양교육연구
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• 제21권1호
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• pp.16-27
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• 2009

The purpose of this study was to develop of learning strategy scale for college students. This study further classified several sub-areas and defined each concepts of learning strategy. Based upon the classification of each sub-areas, tentative test items were developed through the verification of validity by three professionals. A pilot study of the developed scale was administered to 239 college students. And the research collected major data from 1,012 college students. Data were analyzed to obtain item quality, reliability, and validity analysis. The results of this study were as follows. The scale for learning strategy was defined by eight factors and they were 'self-management strategy', 'examination-readiness strategy', 'cognitive strategy', 'memorizing strategy', 'reporting strategy', 'resource-utilization strategy', 'self-regulated strategy', 'cooperative learning strategy'. The results of the confirmatory factor analysis proved the eight factors in the learning strategy. And criterion validity evidence was also obtained from a correlation analysis of the level of academic achievement.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.76-85
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• 2022

At the 8th National High-Performance Computing (HPC) Committee convened in 2021, the "National High-Performance Computing Innovation Strategy (draft) for the 4th Industrial Revolution Era" was deliberated and the original draft was approved. In this proposal, the Ministry of Science and ICT in KOREA announced three major plans and nine detailed projects with the vision of "Realizing the 4th industrial revolution quantum jumping by leaping into a high-performance computing powerhouse." Thereby the most important policy about national mid-term and long-term HPC development was established and called the HPC innovation strategy (hereinafter "the innovation strategy"). The three plans of the innovation strategy proposed by the government are: Strategic HPC infrastructure expansion; Secure source technologies; and Activate innovative HPC utilization. Each of the detailed projects has to be executed nationally and strategically. In this paper, we propose a strategy for the implementation of two items ("Strategic HPC infrastructure expansion" and "activate innovative HPC utilization") among these detailed plans.