• Proceedings of the Korean Society of Toxicology Conference
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• 2005.05a
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• pp.51-82
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• 2005

To compare the pulmonary toxicity between ultrafine colloidal silica particles (UFCSs) and fine colloidal silica particles (FCSs), mice were intratracheally instilled with 3 mg of 14-nm UFCSs and 230-nm FCSs and pathologically examined from 30 mill to 24 hr post-exposure. Histopathologically, lungs exposed to both sizes of particles showed bronchiolar degeneration and necrosis, neutrophilic inflammation in alveoli with alveolar type II cell proliferation and particle-laden alveolar macrophage accumulation. UFCSs, however, induced extensive alveolar hemorrhage compared to FCSs from 30 min onwards. UFCSs also caused more severe bronchiolar epithelial cell necrosis and neutrophil influx in alveoli than FCSs at 12 and 24 hr post-exposure. Laminin positive immunolabellings in basement membranes of bronchioles and alveoli of UFCSs treated animals was weaker than those of FCSs treated animals in all observation times. Electron microscopy demonstrated UFCSs and FCSs on bronchiolar and alveolar wall surface as well as in the cytoplasm of alveolar epithelial cells, alveolar macrophages and neutrophils. Type I alveolar epithelial cell erosion with basement membrane damage in UFCSs treated animals was more severe than those in FCSs treated animals. At 12 and 24 hr post-exposure, bronchiolar epithelia cells in UFCSs treated animals showed more intense vacuolation and necrosis compared to FCSs treated animals. These findings suggest that UFCSs has greater ability to induce lung inflammation and tissue damages than FCSs.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.713-719
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• 2004

This paper presents an interval type-2 fuzzy C-spherical shells (FCSS) algorithm that is an extension of the type-1 FCSS algorithm proposed in (1). In our proposed method, the membership values for each pattern vector are extended as interval type-2 fuzzy memberships by assigning uncertainty to the type-1 memberships. By doing so, the cluster boundary obtained by the interval type-2 FCSS can be found to be more desirable than that of type-1 FCSS in the presence of noise. Experimental results are given to show the effectiveness of our method.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.214-218
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• 2004

본 논문은 fuzzy C 원형 윤곽선(fuzzy C spherical shells 이하 FCSS) 알고리즘을 확장한 interval 제2종 fuzzy C원형 윤곽선 알고리즘에 관한 연구이다. 본 논문에서는 FCSS의 클러스터 윤곽선과의 관계에 의해 패턴이 할당 받은 퍼지 소속도(fuzzy 소속도) 값 결정에 존재하는 불확실성(uncertainty)은 표현하고, 관리하여 플러스터링 성능을 향상하고자 한다. 이러한 과정을 통하여 확장된 interval 제2종 FCSS는 패턴 집합에 존재할 수 있는 노이즈(noise)의 존재에 대해 기존의 FCSS보다 좀더 안정적이고, 바람직한 클러스터 윤곽선을 검출해낼 수 있도록 할 수 있을 것이다.