• Proceedings of the Korean Society of Crop Science Conference
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• 2020.06a
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• pp.32-32
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• 2020

• Journal of Plant Biotechnology
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• v.38 no.2
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• pp.151-161
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• 2011

Plant proteomics is the large-scale studies of proteins, particularly on their structures and functions, governed by the physiological metabolism of plant cells. With the development of techniques and strategies in proteomics, proteomics approach is moving forward in systems biology handling sophisticated components of major signaling and biochemical pathways in plants responding to their environment. In Korea, pioneers in plant proteomics are trying to catch up with global trends in plant proteomics; these researchers are not only improving existing techniques in protein extraction but also developing new techniques in proteomics context. In the hot field of abiotic and biotic stress proteomics, 29 and 9 out of 74 papers have been published during the review period from 2005 to 2010, respectively. This present review article provides an overview on the output of Korean plant proteomers while paying special attention to both abiotic and biotic stress proteomics.

• Proceedings of the Korean Society of Crop Science Conference
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• 2005.04a
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• pp.222-223
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• 2005

• Proceedings of the Korean Society of Crop Science Conference
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• 2005.04a
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• pp.290-291
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• 2005

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.233-233
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• 2021

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.10a
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• pp.232-232
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• 2021

• Proceedings of the Korean Society of Plant Biotechnology Conference
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• 2005.11a
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• pp.433-433
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• 2005

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.1
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• pp.38-43
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• 2012

For safe and stable operations of power plants, it is essential to monitor closely crucial measurement values related to power plant trips. In this paper, an intelligent power plant operating state monitoring technique enabling the operating crew member to monitor conveniently the status of the important measurement values and to perceive almost instantly the significance of the implications of those measurement values is developed. The proposed technique is called a "POST(Plant Operating State Tracking) Chart" technique and provides the foundations in developing an intelligent and integrated power plant operating state monitoring support system called the "P-OASIS"(Plant Operation Assessment and Support Intelligent System). The P-OASIS is applied to a thermal power plant of 500[MW] capacity and exhibited impressive performances.

• 한국약용작물학회:학술대회논문집
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• 2007.05a
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• pp.257-258
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• 2007

• Proceedings of the Korean Society of Plant Biotechnology Conference
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• 2003.10a
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• pp.21-25
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• 2003