• Journal of Wetlands Research
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• v.13 no.3
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• pp.687-696
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• 2011

This study induced ecological and cultural regeneration factors which can be introduced in island regions. And then, survey on recognition on importance was carried out with experts group. First of all, based on status and development trend of islands, farming and fishing village, ecological and marine city, eco-cultural regeneration factors fit to islands area were induced. Ecological regeneration factors were classified to land use, transportation system, buildings, and resources cycle. While cultural regeneration factors were classified to preservation, making tourism resources, and base facilities. This study compared recognition on importance by field such as occupation and major field. One-way ANOVA was used. As a result, this study compared recognition on importance about eco-cultural regeneration factors in island regions and suggested future direction.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.6-9
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• 2010

2007년 Amazon.com이 미국에서 e-Book 전용 단말기 'Kindle'을 출시한 이래, Sony와 대형 서점 Barnes&Noble등 메이저 업체는 물론 다수의 중소업체들이 e-Book 시장에 진출하고 있다. 최근에는 Apple이 iPad를 출시하고 e-Book 시장에 진출한 가운데, Google 역시 6월 이후 e-Book 시장에 진출할 것을 발표함으로써 e-Book 시장의 경쟁이 더욱 치열해지고 있다. e-Book의 급속한 보급증가와 함께 이런 방대한 도서를 관리하는 곳에서 자동 도서 분류의 필요성도 증가하고 있다. 기존의 문서분류 방법들은 대게 수작업, 텍스트(단어)의 집합으로 간주하여 기계 학습방법을 그대로 적용하거나 약간의 변형을 가한 방법들이 대부분 이었다. 본 제안서에서는 데이터 마이닝 분야에서 사용되는 DRFP-Tree 구조를 이용하여 e-Book 내의 문장들의 패턴을 저장하고 이를 사용하여 e-Book을 분류하는 방법을 제안한다.

• KLA journal
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• v.11 no.4
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• pp.8-12
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• 1970

• KLA journal
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• v.2 no.1
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• pp.39-52
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• 1961

• KLA journal
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• v.2 no.2
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• pp.19-29
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• 1961

• KLA journal
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• v.1 no.8
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• pp.17-22
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• 1960

• KLA journal
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• v.1 no.7
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• pp.26-31
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• 1960

• KLA journal
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• v.1 no.9
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• pp.25-31
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• 1960

• KLA journal
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• v.1 no.6
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• pp.16-22
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• 1960

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.1
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• pp.9-15
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• 2016

In this paper, we propose a method for verifying the location of the books in working order to enhance the effiency of library management. On open libraries, occasionally people relocate the book by mistake or intention after reading one. In this occasion, the book is assorted as a lost property and cannot be lended to others, even though it is still in the library. To solve this problem, the system we propose takes an image of the book selves by a mobile robot and extracts the classifying information of the book. After comparison between current location of the book and assigned location of the library database, information of the mislocated books is notified to the librarian.