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- 저자 : 김형훈 ( Kim Hyeong Hun ) (검색결과 5 건)
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김형훈 ( Kim Hyeong Hun ),이득표 ( Lee Deug Pyo ),서호석 ( Seo Ho Seog ),이미우 ( Lee Mi U ),최지호 ( Choe Ji Ho ),문기찬 ( Mun Gi Chan ),고재경 ( Go Jae Gyeong ) 대한피부과학회 2003 대한피부과학회지 Vol.41 No.10
The lesions of neutrophilic dermatosis (pustular vasculitis) of the dorsal hands clinically resembled those of Sweet`s syndrome and showed similar histologic evidence of a dense dermal neutrophilic infiltrate. We, herein, present a case of neutrophilic dermatosis of the dorsal hands in a 70-year-old woman with bacterial endocarditis. The patient presented with hemorrhagic pustular blisters on the dorsal hands. Histopathologic findings were pseudoepitheliomatous hyperplasia, intraepidermal pustules, histiocytic infiltration and a few perivascular neutrophilic infiltrations. The skin lesion improved spontaneously.(Korean J Dermaton 2003;41(10) : 1351~1353)
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KOMPSAT-3 위성영상 기반 양식시설물 자동 검출 프로토타입 시스템 개발
김도령 ( Do-ryeong Kim ),김형훈 ( Hyeong-hun Kim ),김우현 ( Woo-hyeon Kim ),류동하 ( Dong-ha Ryu ),강수명 ( Su-myung Gang ),정윤재 ( Yun-jae Choung ) 한국지리정보학회 2016 한국지리정보학회지 Vol.19 No.4
Aquaculture has historically delivered marine products because the country is surrounded by ocean on three sides. Surveys on production have been conducted recently to systematically manage aquaculture facilities. Based on survey results, pricing controls on marine products has been implemented to stabilize local fishery resources and to ensure minimum income for fishermen. Such surveys on aquaculture facilities depend on manual digitization of aerial photographs each year. These surveys that incorporate manual digitization using high-resolution aerial photographs can accurately evaluate aquaculture with the knowledge of experts, who are aware of each aquaculture facility`s characteristics and deployment of those facilities. However, using aerial photographs has monetary and time limitations for monitoring aquaculture resources with different life cycles, and also requires a number of experts. Therefore, in this study, we investigated an automatic prototype system for detecting boundary information and monitoring aquaculture facilities based on satellite images. KOMPSAT-3 (13 Scene), a local high-resolution satellite provided the satellite imagery collected between October and April, a time period in which many aquaculture facilities were operating. The ANN classification method was used for automatic detecting such as cage, longline and buoy type. Furthermore, shape files were generated using a digitizing image processing method that incorporates polygon generation techniques. In this study, our newly developed prototype method detected aquaculture facilities at a rate of 93%. The suggested method overcomes the limits of existing monitoring method using aerial photographs, but also assists experts in detecting aquaculture facilities. Aquaculture facility detection systems must be developed in the future through application of image processing techniques and classification of aquaculture facilities. Such systems will assist in related decision-making through aquaculture facility monitoring.
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