• Proceedings of the Zoological Society Korea Conference
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• 2000.10a
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• pp.292.1-292
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• 2000

• Computational Structural Engineering
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• v.11 no.1
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• pp.17-26
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• 1998

본 고에서는 일반적인 지진의 특성 및 지진에 대한 교량구조물의 피해형태를 알아보고, 지진에 대한 구조해석 방법을 정리하였으며, 마지막으로 교량의 내진설계에 대한 기본적인 사항을 정리하였다.

• Electrical & Electronic Materials
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• v.11 no.6
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• pp.511-514
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• 1998

• Proceedings of the Materials Research Society of Korea Conference
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• 1994.05a
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• pp.71-71
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• 1994

• Journal of the Korean hospital association
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• v.18 no.7.8 s.166
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• pp.19-23
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• 1989

• Journal of Drive and Control
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• v.1 no.1
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• pp.40-49
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• 2004

• Radioisotope journal
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• v.8 no.3
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• pp.32-37
• /
• 1993

• KOREAN POULTRY JOURNAL
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• v.42 no.11
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• pp. 128 - 131
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• 2010

• Spatial Information Research
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• v.18 no.1
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• pp.1-10
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• 2010

Even after many constructions of test-beds to verify R&D results, there is no standard to set up a consistent and systematic test-bed master plan. Therefore, this research derives standards of a u-city test-bed master plan. To verify these standards, the research constructs the potential U-City master plan targeting Cheongna district in Incheon. Standards of a test-bed master plan which is suggested by this research will bring strengths to construct a test-bed such as clear construction procedures from presenting directions of planning, saving cost, effective management of equipments, and so on.

• The KIPS Transactions:PartB
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• v.15B no.6
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• pp.595-602
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• 2008

The focused word of each sentence is a help in recognizing and understanding spoken Korean. To find the method of focused word spotting at spoken speech signal, we made an analysis of the average and variance of Fundamental Frequency and the average energy extracted from a focused word and the other words in a sentence by experiments with the speech data from 100 spoken sentences. The result showed that focused words have either higher relative average F0 or higher relative variances of F0 than other words. Our findings are to make a contribution to getting prosodic characteristics of spoken Korean and keyword extraction based on natural language processing.