• TTA Journal
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• s.41
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• pp.19-24
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• 1995

• TTA Journal
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• s.96
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• pp.94-99
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• 2004

• TTA Journal
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• s.103
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• pp.106-111
• /
• 2006

• TTA Journal
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• s.56
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• pp.133-145
• /
• 1998

• Proceedings of the Conference
• /
• 2006.05a
• /
• pp.97-114
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• 2006

• TTA Journal
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• s.101
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• pp.120-135
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• 2005

• Journal of Korean Electronics
• /
• v.28 no.11
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• pp.46-48
• /
• 2008

• Journal of Korean Electronics
• /
• v.19 no.3
• /
• pp.2-16
• /
• 1999

최근 급속한 정보기술의 혁신으로 인해 신물질, 생명공학, 영상 등 타분야에서의 기술혁신이 가속화 되고 있고 이와 함께 경제활동 전반에 걸쳐 지식과 관련된 신제품과 신시장이 계속 확대됨으로써 인간생활과 관련된 모든 분야에서 근본적인 변화가 발생하고 있다. 이에 따라 세계는 점차 지식 기반 경제로 이행되어가고 산업측면에서는 지식기반 산업 중심의 산업 구조로 재편되어 갈 것으로 전망되고 있다. 이 보고서는 신산업 발전 위원회에서 지식기반 14개 산업에서 고용 및 기술 파급효과, 시장성, 국내기업의 기술 수준 등을 종합적으로 고려하여 미래 유망 지식산업을 도출한 것 중에서 전자, 정보, 산업 분야를 분석한 자료이다.

• Journal of Information Management
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• v.36 no.4
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• pp.155-174
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• 2005

Recently, under the pressure of national necessity, the national S&T information system(NTIS) for collecting, managing and distributing various R&D information is under discussion. The close inter-connections and cooperations among elements in R&D process, activity, information and data levels are the basis of national S&T information system. In this paper, we propose a cross reference model of R&D information. The proposed model includes research project, person and output information which are essential in the R&D activities. By using the proposed model, a cross navigating and referencing among R&D information is possible. And various queries on the models from various viewpoints are also possible. XML Topic Map, ISO13250 Standard, is used for development of the proposed model. The efficiencies and further practical usages of proposed model are discussed by demonstrating the proposed model with an example.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.100-115
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• 2020

Recently, with the development of various sensors and communication technologies, the market for wearable devices capable of recording physical activity in connection with a smartphone is expanding. The purpose of this study is to analyze physical activity for each transportation modes in order to utilize wearable devices in the field of transportation. This study consists of three steps: data collection, basic statistical analysis, and physical activity analysis. Four adult males and females were recruited as investigators, and physical activity and route information were collected through Fitbit, a commercial wearable device. From the collected physical activity information, a percentage of heart rate reserve (%HRR) using a heart rate was derived and used for analysis. As a results, it was found that there is a statistically significant difference in heart rate for each transportation mode, and physical activity intensity is the highest when walking. In addition, the results of physical activity analysis for the case of using different routes for the same OD were presented. The results presented in this study are expected to be used as basic data for preparing public transportation activation policies and providing customized services for the future.