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| 1 | Applications of Electrical Capacitance Tomography in Two Phase Flow Visualization显示文摘The successful application of Electrical Capacitance Tomography (ECT) depends heavily on the image reconstruction speed and quality. The two requirements usually cannot be satisfied simultaneously. Also, for a large number of acquired 2D ECT images, a 3D presentation of them is much desired to track the variations of the material distribution in a third dimension. To facilitate ECT for practical flow analyses in process engineering, the authors have recently developed algorithms for 3D image presentation and for online iterative image reconstruction that only takes the same time as a linear back projection method but yields good image qualities as the Landweber iterative method does. The new methods have been successfully applied to visualize several classes of two phase flows, namely fluidization, cyclone separation, circulating rate determination in circulating fluidized beds, pneumatic conveying, rotating drum mixing. Special characteristics in each case have been discussed and valuable results are obtained, which are reported in this paper. | Shi Liu Runsheng Yan Haigang Wang Fan Jiang Xiangyun Dong | 2004 | Journal of Thermal Science2004，13，2： | 9 |
| 2 | Challenges of 22 nm and beyond CMOS technology显示文摘It is predicted that CMOS technology will probably enter into 22 nm node around 2012. Scaling of CMOS logic technology from 32 to 22 nm node meets more critical issues and needs some significant changes of the technology, as well as integration of the advanced processes. This paper will review the key processing technologies which can be potentially integrated into 22 nm and beyond technology nodes, including double patterning technology with high NA water immersion lithography and EUV lithography, new device architectures, high K/metal gate (HK/MG) stack and integration technology, mobility enhancement technologies, source/drain engineering and advanced copper interconnect technology with ultra-low-k process. | HUANG Ru WU HanMing KANG JinFeng XIAO DeYuan SHI XueLong AN Xia TIAN Yu WANG RunSheng ZHANG LiangLiang ZHANG Xing WANG YangYuan | 2009 | Science in China(Series F)2009，52，9： | 8 |
| 3 | High-precision measurement of mercury isotope ratios of atmospheric deposition over the past 150 years recorded in a peat core taken from Hongyuan, Sichuan Province, China显示文摘High-precision 210Pb dating technology was applied to a peat core with a time span of about 150 years that was taken from Hongyuan, Sichuan Province, China. The concentrations of total mercury (Hg) and stable isotope compositions of mercury in the peat core were measured using a LUMEX 915 instrument and multi-collector inductively coupled plasma mass spectrometer, respectively. Total mercury (Hg) concentrations in the peat core had a clearly increasing trend from the bottom to top of the core while δ 202Hg values (relative to NIST 3133) of peat had a decreasing trend. The total mercury (Hg) concentration varied from 16.7 to 101.3 ng/g and the δ 202Hg values ranged from –0.44‰± 0.14‰ to –1.45‰± 0.22‰. We clearly show that the study area experienced mercury pollution after the industrial revolution, and the mercury emitted from natural sources and anthropogenic sources had different Hg isotope signatures. | SHI WenFang FENG XinBin ZHANG Gan MING LiLi YIN RunSheng ZHAO ZhiQi WANG Jing | 2011 | Chinese Science Bulletin2011，56，9： | 7 |
| 4 | A Knowledge Based Approach to Integrated Battle Damage Assessment and Repair Analysis显示文摘BDAR analysis is a kind of very complex analysis technology which can be used todetermine the battle damage mode of equipment and relevant decision strategy BDAR analysis isbased on the information about W, MA(maintenance analysis), FTA(fault treeanalysis) and vulnerability analysis. These information and analysis,esults are obtained on thebasis of the domain expert’s experience and heowledge- Upon the basis of the sumnlary ofBDARA methods, this paper provides applied knowledge database, puts forward BDARA’sintegrated thinking, implementing methods, and the key technology for IBDARA’ knowledgedatabase ’s | Shi Quan Li Jianping Wang Runsheng(Department of Management Engineering, Shijiazhuang Mechanical Engineering College No.97, West Heping Rkad, Shijiazhuang ,Hebei, P.R.China, 050003E-mail:shiquan @sj-user.he.cninfo.net) | 2000 | International Journal of Plant Engineering and Management2000，5，2： | 1 |
| 5 | Gait Recognition via Cross Walking Condition Constraint显示文摘Gait recognition is a biometric technique that captures human walking pattern using gait silhouettes as input and can be used for long-term recognition.Recently proposed video-based methods achieve high performance.However,gait covariates or walking conditions,i.e.,bag carrying and clothing,make the recognition of intra-class gait samples hard.Advanced methods simply use triplet loss for metric learning,which does not take the gait covariates into account.For alleviating the adverse influence of gait covariates,we propose cross walking condition constraint to explicitly consider the gait covariates.Specifically,this approach designs center-based and pair-wise loss functions to decrease discrepancy of intra-class gait samples under different walking conditions and enlarge the distance of inter-class gait samples under the same walking condition.Besides,we also propose a video-based strong baseline model of high performance by applying simple yet effective tricks,which have been validated in other individual recognition fields.With the proposed baseline model and loss functions,our method achieves the state-of-the-art performance. | Runsheng Wang Hefei Ling Ping Li Yuxuan Shi Lei Wu Jialie Shen | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 6 | 基底前脑生长激素抑制素神经元促进高热量食物摄取显示文摘文章简介近年来,人们逐渐发现基底前脑在进食行为中起到一定的调控作用。研究表明,往基底前脑子区域腹侧苍白球注射GABAA受体拮抗剂bicuculine能够极大的增强大鼠对脂肪的选择性。但是具体是哪种类型的神经元负责这一行为尚不清楚。 | Chen Zhu Yun Yao Yan Xiong Mingxiu Cheng Jing Chen Rui Zhao Fangzhou Liao Runsheng Shi 宋森 | 2018 | 科学新闻2018，0，4： | 0 |
| 7 | Multi-Head Attention Graph Network for Few Shot Learning显示文摘The majority of existing graph-network-based few-shot models focus on a node-similarity update mode.The lack of adequate information intensies the risk of overtraining.In this paper,we propose a novel Multihead Attention Graph Network to excavate discriminative relation and fulll effective information propagation.For edge update,the node-level attention is used to evaluate the similarities between the two nodes and the distributionlevel attention extracts more in-deep global relation.The cooperation between those two parts provides a discriminative and comprehensive expression for edge feature.For node update,we embrace the label-level attention to soften the noise of irrelevant nodes and optimize the update direction.Our proposed model is veried through extensive experiments on two few-shot benchmark MiniImageNet and CIFAR-FS dataset.The results suggest that our method has a strong capability of noise immunity and quick convergence.The classication accuracy outperforms most state-of-the-art approaches. | Baiyan Zhang Hefei Ling Ping Li Qian Wang Yuxuan Shi Lei Wu Runsheng Wang Jialie Shen | 2021 | Computers, Materials & Continua2021，，8： | 0 |
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