• Proceedings of the Korea Air Pollution Research Association Conference
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• 2005.11a
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• pp.273-274
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• 2005

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2006.04a
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• pp.270-277
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• 2006

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2010.05a
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• pp.807-808
• /
• 2010

• Proceedings of the Korean Vacuum Society Conference
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• 2009.02a
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• pp.113.1-113.1
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• 2009

• Proceedings of the Korean Vacuum Society Conference
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• 2008.02a
• /
• pp.165-165
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• 2008

• Proceedings of the Korean Vacuum Society Conference
• /
• 2008.02a
• /
• pp.133-133
• /
• 2008

• Proceedings of The Korean Cleft Lip And Palate Association
• /
• 1997.06a
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• pp.58-58
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• 1997

• 건강소식
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• v.38 no.9
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• pp.38-39
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• 2014

백신 예방접종의 발전은 인류 역사상 가장 위대한 업적 중 하나로 꼽힌다. 18세기 초반만 해도 몸에 난 작은 상처나 호흡기 전염으로 두창(전연두를 한방에서 이르는 말), 페스트 등이 전염돼 수십만명이 사망하는 경우가 허다했다. 이러한 감염병 및 풍토병에서 인류를 지킨 것이 백신 예방접종이다.

• 대한핵의학회:학술대회논문집
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• 1972.11a
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• pp.72.2-72.2
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• 1972

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.5
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• pp.111-120
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• 2016

Wire recognition is one of the important tasks in chip reverse engineering since connectivity comes from wires. Recognized wires are used to recover logical or functional representation of the corresponding circuit. Though manual recognition provides accurate results, it becomes impossible, as the number of wires is more than hundreds of thousands. Wires on a chip usually have specific intensity or color characteristics since they are made of specific materials. This paper proposes two stage wire recognition scheme; image binarization and then the process of determining whether regions in binary image are wires or not. We employ existing techniques for two processes. Since the second process requires the characteristics of wires, the users needs to select the typical wire region in the given image. The histogram characteristic of the selected region is used in calculating histogram similarity between the typical wire region and the other regions. The first experiment is to select the most appropriate binarization scheme for the second process. The second experiment on the second process compares three proposed methods employing histogram similarity of grayscale or HSV color since there have not been proposed any wire recognition method comparable by experiment. The best method shows more than 98% of true positive rate for 25 test examples.