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Fuzzy Partition based Similarity Measure for Spectral Clustering
Yifang Yang,Yuping Wang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.10
The efficiency of spectral clustering depends heavily on the similarity measure adopted. A widely used similarity measure is the Gaussian kernel function where Euclidean distance is used. Unfortunately, the result of spectral clustering is very sensitive to the scaling parameter and the Euclidean distance is usually not suitable to the complex distribution data. In this paper, a spectral clustering algorithm based on fuzzy partition similarity measure ( FPSC) is presented to solve the problem that result of spectral clustering is very sensitive to scaling parameter. The proposed algorithm is steady extremely and hardly affected by the scaling parameter. Experiments on three benchmark datasets, two synthetic texture images are made, and the results demonstrate the effectiveness of the proposed algorithm.
Tingyu Tian,Yuping Cai,Shimao Yang,Yanwei Guo,Wei Zhou 한국탄소학회 2023 Carbon Letters Vol.33 No.6
In this study, we successfully grafted chitosan (CS) onto multi-walled carbon nanotubes (MWCNTs) to enhance their properties and potential applications in the biomedical field. FTIR spectroscopy confirmed the successful covalent bonding of CS onto MWCNTs, indicated by the new absorption peak of the amide bond (–CONH–). Thermal analysis showed that the modified MWCNTs (MWCNT-CS) had significant weight loss around 260 °C, suggesting the decomposition of hydroxypropyl chitosan, and confirming its presence in the nanocomposite. SEM images revealed that CS grafting improved the dispersibility of MWCNTs, a property crucial for their use as nanofillers in polymers. Moreover, the micro-tensile bond strength of dentin surface increased with increasing MWCNT-CS concentrations, indicating the potential of MWCNT-CS as a pretreatment for dentin bonding. After simulated aging, the bond strength remained significantly higher for MWCNT-CS groups compared to those without pretreatment. In biocompatibility assessment using the MTT assay, MWCNT-CS showed higher cell viability than MWCNT, suggesting improved biocompatibility after CS modification. The results of this study suggest that CS-modified MWCNTs could be promising materials for applications in dentin bonding, dentin mineralization, bone scaffolding, implants, and drug delivery systems.
Design 3D garments for scanned human bodies
Dongliang Zhang,Jin Wang,Yuping Yang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.7
We present a 3D garment design method for scanned human bodies. First, a slicing method is proposed to reconstruct a symmetricbody from a scanned human body to make it suitable for garment design. Second, a sketch modeling method is used to interactively createa garment surface based on the symmetric body. Third, seam lines are drawn on the garment surface, and then a flattening algorithmis employed to design 2D patterns. Finally, a seam line template is used to design the same style of garments for different bodies. Experimentsshow that the resulting garment fits the scanned body well. Our method provides an efficient design tool for customizing garmentsin the fashion industry.
슈퍼컴퓨터를 활용한 SSH 포트 포워딩 기반의 용접 시뮬레이터
김명일(Myung-il Kim),김승해(Seung-hae Kim),Yuping Yang 한국정보과학회 2012 한국정보과학회 학술발표논문집 Vol.39 No.1B
슈퍼컴퓨터는 주로 거대 과학문제를 해결하는데 활용되었으나, 최근 산업체의 신제품 및 신기술 개발을 위한 활용이 확대되는 추세이다. 이를 보다 활성화시키기 위해서는 산업체의 연구개발자들이 슈퍼컴퓨터를 활용하여 보다 쉽고 편리하게 시뮬레이션을 수행할 수 있는 환경의 개발이 요구된다. 이를 통해 저비용/고효율의 제품 개발 기반을 확보할 수 있으며, 산업체의 글로벌 경쟁력 향상을 모색할 수 있다. 용접은 선박, 항공기 등의 대형 구조물뿐만 아니라 금속을 사용하는 소형 구조물의 접합을 위해 널리 활용되는 기술이다. K-WeldPredictor는 용접 기술의 80% 정도를 차지하는 아크 용접을 웹 사이트에서 시뮬레이션 할 수 있도록 지원하는 슈퍼컴퓨터 기반의 시뮬레이터이다. 미국 WeldPredictor와의 기술협력을 통해 개발되었으며, 슈퍼컴퓨터의 높은 보안 수준을 준수하기 위해 별도의 웹 서버를 활용하였다. 특히 웹 서버와 슈퍼컴퓨터와의 안전한 데이터 전송을 위해 SSH 로컬 포트 포워딩 기술을 활용하였다.
Xia, Xiaojing,Che, Yanyi,Gao, Yuanyuan,Zhao, Shuang,Ao, Changjin,Yang, Hongjian,Liu, Juxiong,Liu, Guowen,Han, Wenyu,Wang, Yuping,Lei, Liancheng Korean Society for Molecular and Cellular Biology 2016 Molecules and cells Vol.39 No.5
During the lactation cycle of the bovine mammary gland, autophagy is induced in bovine mammary epithelial cells (BMECs) as a cellular homeostasis and survival mechanism. Interferon gamma ($IFN-{\gamma}$) is an important antiproliferative and apoptogenic factor that has been shown to induce autophagy in multiple cell lines in vitro. However, it remains unclear whether $IFN-{\gamma}$ can induce autophagy and whether autophagy affects milk synthesis in BMECs. To understand whether $IFN-{\gamma}$ affects milk synthesis, we isolated and purified primary BMECs and investigated the effect of $IFN-{\gamma}$ on milk synthesis in primary BMECs in vitro. The results showed that $IFN-{\gamma}$ significantly inhibits milk synthesis and that autophagy was clearly induced in primary BMECs in vitro within 24 h. Interestingly, autophagy was observed following $IFN-{\gamma}$ treatment, and the inhibition of autophagy can improve milk protein and milk fat synthesis. Conversely, upregulation of autophagy decreased milk synthesis. Furthermore, mechanistic analysis confirmed that $IFN-{\gamma}$ mediated autophagy by depleting arginine and inhibiting the general control nonderepressible-2 kinase (GCN2)/eukaryotic initiation factor $2{\alpha}$ ($eIF2{\alpha}$) signaling pathway in BMECs. Then, it was found that arginine supplementation could attenuate $IFN-{\gamma}$-induced autophagy and recover milk synthesis to some extent. These findings may not only provide a novel measure for preventing the $IFN-{\gamma}$-induced decrease in milk quality but also a useful therapeutic approach for $IFN-{\gamma}$-associated breast diseases in other animals and humans.
Liancheng Lei,Xiaojing Xia,Yanyi Che,Yuanyuan Gao,Shuang Zhao,Changjin Ao,Hongjian Yang,Juxiong Liu,Guo-wen Liu,Wenyu Han,Yuping Wang 한국분자세포생물학회 2016 Molecules and cells Vol.39 No.5
During the lactation cycle of the bovine mammary gland, autophagy is induced in bovine mammary epithelial cells (BMECs) as a cellular homeostasis and survival mecha-nism. Interferon gamma (IFN-) is an important antiproliferative and apoptogenic factor that has been shown to induce autophagy in multiple cell lines in vitro. However, it remains unclear whether IFN- can induce autophagy and whether autophagy affects milk synthesis in BMECs. To understand whether IFN- affects milk synthesis, we isolated and purified primary BMECs and investigated the effect of IFN- on milk synthesis in primary BMECs in vitro. The results showed that IFN- significantly inhibits milk synthesis and that autophagy was clearly induced in primary BMECs in vitro within 24 h. Interestingly, autophagy was observed following IFN- treatment, and the inhibition of autophagy can improve milk protein and milk fat syn-thesis. Conversely, upregulation of autophagy decreased milk synthesis. Furthermore, mechanistic analysis con-firmed that IFN- mediated autophagy by depleting argi-nine and inhibiting the general control nonderepressible-2 kinase (GCN2)/eukaryotic initiation factor 2 (eIF2) signaling pathway in BMECs. Then, it was found that arginine supplementation could attenuate IFN--induced autophagy and recover milk synthesis to some extent. These findings may not only provide a novel measure for preventing the IFN--induced decrease in milk quality but also a useful therapeutic approach for IFN--associated breast diseases in other animals and humans.