HyunCheol Kim

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Near-infrared surface-enhanced Raman spectroscopy (SERS) is a powerful technique for analyzing the chemical composition within a single living cell at unprecedented resolution. However, current SERS methods employing uncontrollable colloidal metal particles or non-uniformly distributed metal particles on a substrate as SERS-active sites show relatively low(More)
This study comprehensively assesses the immediate effects of extreme weather conditions and high ambient air pollution on population health. For Germany and the years 1999 to 2008, we link the universe of all 170 million hospital admissions and all 8 million deaths with weather and pollution data reported at the day-county level. Extreme heat significantly(More)
In this paper we propose the system that measures the thickness of train brakes automatically. The system consists of two modules: image acquisition and analysis module that measures the thickness of brakes with digitized images. In order to measure the thickness of brake shoes, the candidate curves of brake were searched and fitted with 2d curve fitting(More)
An automated vision system that accurately measures the thickness of a brake shoe for rolling stock is proposed. Images of the brake shoes are captured automatically while rolling stock is passing by an inspection station. Toward this goal, location of the brake shoe in the image has to be determined first because they are not the same in the captured(More)
Long-term fire records are important to understanding the trend of biomass burning and its interactions with air quality and climate at regional and global scales. Traditionally, such data have been compiled from ground surveys or satellite remote sensing. To obtain aerosol information during a fire event to use in analyzing air quality, we propose a new(More)
Diverse variety of hippocampal interneurons exists in the CA1 area, which provides either feedforward (FF) or feedback (FB) inhibition to CA1 pyramidal cell (PC). However, how the two different inhibitory network architectures modulate the computational mode of CA1 PC is unknown. By investigating the CA3 PC rate-driven input-output function of CA1 PC using(More)
In this paper we propose the method that extracts the semantic keyword from digital images automatically using color and texture features. The image semantic keyword is widely used in research area like image retrieval, categorization, annotation, management. The method consists of two steps: feature extraction and classification module. In order to extract(More)
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