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Effect of Online Social Network to build virtual Human Capital
윤호성,박정희,이기동,Yun, Ho-Seong,Park, Jung-Hee,Lee, Ki-Dong The Society of Digital Policy and Management 2010 디지털융복합연구 Vol.8 No.1
Impact of online social network to cyber community has increased much attention recently. The biggest challenge in fostering a social network is to the extent whether it helps to build human capital network or social community. We propose what critical factors influence the formation of online capital network. The study uses three independent factors as motivation, self disclosure, and interactivity and two dependent factors as knowledge sharing and strengthening relationships to create virtual capital connection. Data collected from 256 university students to test the proposed model. The results of the study shows that all hypothesis are supported except one with strengthening relationship. Implications and limitations of this research are discussed.
조한수 ( Jo Han Su ),김학양 ( Kim Hag Yang ),송영림 ( Song Yeong Lim ),윤호성 ( Yun Ho Seong ),김희선 ( Kim Hui Seon ),고창옥 ( Go Chang Og ),최진욱 ( Choe Jin Ug ),이자영 ( Lee Ja Yeong ),김경호 ( Kim Gyeong Ho ),박준용 ( Park Ju 대한소화기학회 2004 대한소화기학회지 Vol.43 No.2
Gastrointestinal leiomyomas are commonly found in the stomach, and but 3% of them arises from the colon. Colonic leiomyomas are often found incidentally during colonoscopic examination. Most of patients with colonic leiomyoma are asymptomatic, but patients with large size leiomyoma occasionally have abdominal mass, hemorrhage, intestinal obstruction or perforation. Pedunculated leiomyomatous polyp is rare. Leiomyomatous polyps are occasionally misjudged as adenomatous polyps by endoscopist. We report a case of pedunculated leiomyomatous colonic polyp in 65 year-old female patient. She has complained of intermittent hematochezia and lower abdominal discomfort for 5 months. During colonoscopy, an 1㎝ sized long pedunculated polyp at the splenic flexure was detected. It was removed by colonoscopic snare polypectomy. Leiomyomatous polyp was confirmed by micro-scopic and immunohistochemical findings. (Korean J Gastroenterol 2004; 43:129-132)
고도 이형성의 관상선종을 동반한 Gastritis Cystica Profunda
송영림 ( Song Yeong Lim ),박준용 ( Park Jun Yong ),김용범 ( Kim Yong Beom ),강기주 ( Kang Gi Ju ),김희선 ( Kim Hui Seon ),최대로 ( Choe Dae Lo ),윤호성 ( Yun Ho Seong ),이자영 ( Lee Ja Yeong ),김경호 ( Kim Gyeong Ho ),이진헌 ( Lee 대한소화기학회 2004 대한소화기학회지 Vol.43 No.1
Gastritis cystica profunda is usually characterized by hyperplastic and cystic dilatation of pseudopyloric gland with submucosal invasion. These lesions possess malignant histologic features as metaplastic and even dysplastic alteration can be observed, however they usually exhibit benign behavior. Macroscopically, gastritis cystica profunda may present as a submucosal tumor or as a polyp. In rare case, however, it can be found as a giant mucosal fold. The proposed pathogenesis of lesion relates to ischemia, chronic inflammation, and the presence of foreign body. Herein, we report a case of gastritis cystica profunda associated with high grade tubular adenoma in a patient without antecedent surgery. (Korean J Gastroenterol 2004;43:52-55)
유전 알고리즘과 개선된 자율 적응 군집화 알고리즘을 이용한 영상 영역화
하성욱,윤호성,서석배,강대성 東亞大學校 附設 情報通信硏究所 1997 情報通信硏究所論文誌 Vol.5 No.1
This paper proposes the new image segmentation method using AACA(advaneced adaptive clustering algorithm) and GA(genetic algorithm). The solution in the general GA is able to be moving because of stochastic reproduction. To cope with these problems, we proposes GBR(great bast reinsertion) and the technique that resolves the premature convergence problem. We also proposes image segmentation method for optimizing vigilance parameter and cluster value. Finally, We uses the new method that removes the small regions in the segmented results. The experimental results show that the proposed algorithm(SGACA; segmentation using genetic adaptive clustering algorithm) gives better performance than the AACA ones.