http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
DA-Res2Net: a novel Densely connected residual Attention network for image semantic segmentation
( Xiaopin Zhao ),( Weibin Liu ),( Weiwei Xing ),( Xiang Wei ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.11
Since scene segmentation is becoming a hot topic in the field of autonomous driving and medical image analysis, researchers are actively trying new methods to improve segmentation accuracy. At present, the main issues in image semantic segmentation are intra-class inconsistency and inter-class indistinction. From our analysis, the lack of global information as well as macroscopic discrimination on the object are the two main reasons. In this paper, we propose a Densely connected residual Attention network (DA-Res2Net) which consists of a dense residual network and channel attention guidance module to deal with these problems and improve the accuracy of image segmentation. Specifically, in order to make the extracted features equipped with stronger multi-scale characteristics, a densely connected residual network is proposed as a feature extractor. Furthermore, to improve the representativeness of each channel feature, we design a Channel-Attention-Guide module to make the model focusing on the high-level semantic features and low-level location features simultaneously. Experimental results show that the method achieves significant performance on various datasets. Compared to other state-of-the-art methods, the proposed method reaches the mean IOU accuracy of 83.2% on PASCAL VOC 2012 and 79.7% on Cityscapes dataset, respectively.
Study and Design of SDN Intelligent Campus Architecture Based on IPv6
Chen Yange,Yang Xiaopin,Zhang Zhili,Zhao Liang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.12
Against the backdrop of Internet of Things on campus, this paper makes Internet of things cover the entire campus through wired and wireless accesses. As a result, campus sees the fulfillment of information transfer via computers, mobile phones, devices and other articles, which is the embodiment of intelligence. Besides, OPNET is used for modeling and simulation of wireless network structure in SDN intelligent campus, with a view to analyzing the feasibility and advantages of various campus network topologies. Then, a reasonable scheme is presented responding to different types of topologies, which is conducive to better building an intelligent campus.
Outd7b facilitates T cell activation and inflammatory responses by regulating Zap70 ubiquitination
( Hongbo Hu ),( Hui Wang ),( Yichuan Xiao ),( Jin Jin ),( Jae Hoon Chang ),( Qiang Zou ),( Xiaopin Xie ),( Xuhong Cheng ),( Shao Cong Sun ) 영남대학교 약품개발연구소 2016 영남대학교 약품개발연구소 연구업적집 Vol.26 No.-
Signal transduction from the T ceII receptor (TCR) is crucial for T cell-mediated immune responses and, when deregulated, also contributes to the development of autoimmunity. How TCR signaling is regulated is incompletely understood. In this study, we demonstrate a ubiquitin-dependent mechanism in which the deubiquitinase Otud7b has a crucial role in facilitatinq TCR signaling. Upon TCR ligation, Olud7b is rapidly recruited to the tyrosine kinase Zap70, a central mediator of TCR-proximal signaling. Otud7b deficiency attenuates the activation of Zap70 and its downstream pathways and impairs T cell activation and differentiation, rendering mice refractory to T cell-mediated autoimmune and inflammatory responses. Olud7b facilitated Zap70 activation by deubiquitinating Zap70, thus preventing the association of Zap70 with the negative-regulatory phosphatases SIs1 and Sts2. These findings establish Otud7b as a positive requlator of TCR-proximal signaling and T cell activation. highlighting the importance of deubiquitination in regulaling Zap70 function.
Mingsheng Zhong,Xi Liu,Feng Liu,Yulong Ren,Yunlong Wang,Jianping Zhu,Xuan Teng,Erchao Duan,Fan Wang,Huan Zhang,Mingming Wu,Yuanyuan Hao,Xiaopin Zhu,Ruonan Jing,Xiuping Guo,Ling Jiang,Yihua Wang,Jianmi 한국식물학회 2019 Journal of Plant Biology Vol.62 No.1
Starch is a major storage substance in cerealgrains, and starch biosynthesis is a complex process. In orderto elucidate regulation of the starch biosynthesis pathway, wescreened a series of rice (Oryza sativa L.) endospermmutants. In this study, we identified a floury white-coreendosperm mutant named floury endosperm12 (flo12). Theflo12 mutant exhibited loosely packed starch granules and alower thousand kernel weight compared to wild type. Semithinsections revealed that compound starch grains (SG) inflo12 interior endosperm cells were developed abnormally. Furthermore, amylose content was decreased, while totalprotein content was significantly increased in flo12 grains. Map-based cloning showed that FLO12 encodes rice alanineaminotransferase 1 (OsAlaAT1). OsAlaAT1 is highly expressedin developing endosperm. Subcellular localization showedthat OsAlaAT1 is localized in the cytosol. Moreover, theexpression of most starch synthesis-related genes wasdecreased, while most of the storage protein coding geneshad elevated expression levels in the flo12 mutant. Inaddition, overexpression of the OsAlaAT1 gene increasedgrain weight. In brief, we demonstrated that OsAlaAT1regulates carbon and nitrogen metabolism, which provides anew insight for the improvement of rice quality and yield.