• Journal of the Korean Professional Engineers Association
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• v.31 no.2
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• pp.81-85
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• 1998

• The monthly packaging world
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• s.166
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• pp.48-59
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• 2007

• Journal of Environmental Impact Assessment
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• v.2 no.1
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• pp.15-20
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• 1993

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2018.05a
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• pp.25-26
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• 2018

• Korean Architects
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• s.604
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• pp.9-9
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• 2019

• Review of Korea Contents Association
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• v.19 no.2
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• pp.13-18
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• 2021

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.793-794
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• 2005

• Journal of Computing Science and Engineering
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• v.6 no.2
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• pp.161-167
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• 2012

Query reformulation is an interactive process of revising user queries according to the query results. To assist biomedical researchers in this process, we present novel methods for automatically generating query reformulation suggestions. While previous work on query reformulation focused on addition of words to user queries, our method can deal with three types of query reformulation (i.e., addition, removal and replacement). The accuracy of the method for the addition type is ten times better than PubMed's "Also try", while the execution time is short enough for practical use.

• Health Policy and Management
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• v.27 no.2
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• pp.121-127
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• 2017

The effort to measure and improve the quality of healthcare is a common health policy issue worldwide. Korean Value Incentive Programme is one of that effort, but some concerns exist. Compared to pay for performance program in other countries, it measures healthcare quality with relatively narrow performance domain using a small number of clinical indicators. It was designed without involving hospitals and other key stakeholder, and program participation was mandated. Highest and lowest performers get bonus and penalty using relative ranking. As a suggestion for development, the direction for quality management at the national level should be given first. Therefore the philosophy or strategy for quality improvement should be reflected to the program. And various domains and indicators of healthcare quality should be developed with active communication with healthcare providers. The evaluation method is necessary to be changed to provide achievable goal to the healthcare providers and attract quality improvement.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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• pp.37-43
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• 2018

In this paper, we propose a framework that automatically suggests emotion using emotion analysis method based on facial expression change. We use Microsoft's Emotion API to calculate and analyze emotion values in facial expressions to recognize emotions that change over time. In this step, we use standard deviations based on peak analysis to measure and classify emotional changes. The difference between the classified emotion and the normal emotion is calculated, and the difference is used to recognize the emotion abnormality. We match user's emotions to relatively relaxed emotions using histograms and emotional meshes. As a result, we provide relaxed emotions to users through images. The proposed framework helps users to recognize emotional changes easily and to train their emotions through emotional relaxation.