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A transmission electron microscopy.study.of microscopic causes for localized-corrosion morphology.variations in the AA7055 Al alloy

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Journal of Materials Science & Technology 2018年第10期34卷 1719-1729页

作者： X.B. y.ng J.H. Chen G.H. Zhang L.P. Huang T.W. Fan y. ding X.W. y. Center for High-Resolution Electron Microscopy College of Materials Sdence and Engineering Hunan University Changsha Hunan 410082 China Department of Applied Phy.ics School of Physics and Electronics Hunan University Changsha Hunan 410082 China

By.Using （scanning） transmission electron microscopy. localized-corrosion morphology.variations of the AA7055 AIZn（Cu）Mg alloy.with different thermal processes and their underly.ng microscopic causes were investigated sy.tematically. Our study.shows that the corrosion resistance of the nanoscale precipitates varies with their structure ty.e and Cu-content. Just like the Al-matrix, the early.stage precipitates are corrosion resistant, as compared with the ηp/η-precipitates without high Cu-content. With a high Cu-content, however, the η-precipitates become most corrosion resistant among all phases involved. Hence, tailoring the precipitate microstructure and chemistry.though thermal processes may.change the overall corrosion morphology.and improve corrosion resistance property.of the alloy.

关键词： Aluminum alloy. Precipitates Corrosion Electron microscopy

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An Expert Sy.tem Based on Multi-reasoning Mechanism for Port Machine Diagnosis

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Journal of Shipping and Ocean Engineering 2011年第2期1卷 101-108页

作者： y. ding G.L. Lin Logistics Research Center Shanghai Maritime University Shanghai 200135 China

Expert sy.tem play. an important role in port machine diagnosis, which aims at automatic equipment test for higher availability.and efficiency.of port operations. In this study. a port machine diagnosis expert sy.tem is proposed based on multi-reasoning mechanism. Rely.ng on the knowledge acquired from the experienced experts in the port machine engineering, the sy.tem builds a library.of relative experience and a set of rules of reasoning and estimating. Multi-reasoning mechanism that simulates the decision-making process of domain experts is employ.d to achieve reliable diagnosis results. The reasoning machine integrates artificial neural network, uncertain decision making and decision tree, which complements each other by.sustainable growing voting mechanism. The effect of this multi-reasoning mechanism is evaluated and validated by.means of Matthew＇s Correlation Coefficient （MCC）. The sy.tem incorporating the mechanism is successfully.designed, implemented and applied in Shanghai Port.

关键词： Port machine diagnosis multi-reasoning mechanism ANN uncertain decision making decision tree.

Development of Thermoplastic Shear Bands in Simple Shear

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Development of Thermoplastic Shear Bands in Simple Shear

Local Orientation Field Based Nonlocal Means Method for Fingerprint Image De-Noising

作者： y.-L. Bai, C.-M. Cheng and y.-S. ding Institute of Mechanics, Chinese Academy.of Sciences, Beijing, China

The development of thermoplastic shear bands in coupling-rate- and temperature-dependent material under simple shear is examined, using a simplified model together with Fourier transformation and a matching technique at the moving boundary.of a shear band. The analy.is reveals that the development of a shear band is dominated by.the coupling rate and temperature effect of material. The strength of the material acts as a destabilizer, whilst heat diffusion makes the band expand. In addition, shear bands are susceptible to long-wave disturbances and this coincides with instability.analy.is. A few computational examples are presented.

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Journal of Signal and Information Processing 2013年第3期4卷 150-153页

作者： J. Zou J. B. Feng X. M. Zhang M. y. ding School of Life Science and Technology Huazhong University of Science and Technology Wuhan China.

The de-noising of the fingerprint image is one of the key.tasks before the extraction of the minutiae in automatic fingerprint matching. When used for de-noising the fingerprint image, the nonlocal means method can not preserve the local minutiae in the fingerprint image very.well. To address this problem, we propose a local orientation field based nonlocal means (NLM-LOF) method in this paper. Experimental results on the simulated and real images show that the proposed method can suppress noise effectively.while preserving edges and details in the fingerprint image and it outperforms the state-of-art nonlocal means method in terms of qualitative metrics and visual comparisons.

关键词： Fingerprint Image Denoising Nonlocal Means Filtering Orientation Field

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如何使玉米生产翻番

科技导报 1988年第5期 56-57页

作者：丁玉澄波士顿学院教授

一般人都知道玉米是人类最重要的食粮之一。有位科学家曾说过:人体能源的20%是直接或间接来自玉米。据美国最近的调查报告,在一般食品商店内,有192种食物是由玉米加工制成的。这并不包括邮票背面的糊层及药丸的包装皮层等。所有这些告... 详细信息

一般人都知道玉米是人类最重要的食粮之一。有位科学家曾说过:人体能源的20%是直接或间接来自玉米。据美国最近的调查报告,在一般食品商店内,有192种食物是由玉米加工制成的。这并不包括邮票背面的糊层及药丸的包装皮层等。所有这些告诉人们,玉米与人类生活的关系是何等密切。近几年来我在中国进行学术交流。人们常提出一个问题:在玉米的生产量方面,中国应如何赶超美国? 在没有讨论这个问题以前,先谈谈美国玉米生产的水平。在过去60余年内,美国玉米亩产量平均每年增加6公斤。去年美国亩产约为625公斤(有资料称,1985年为491公斤,1986年略低。1987年未见报道,估计不会超过500公斤——编者)。亩产最高纪录为1290公斤。由过去历史及目前科

关键词：玉米生产自交系品系(育种) 玉米产量玉米育种早熟玉米玉米种质穗位子粒杂种优势杂交优势无叶舌碳水化物

Measurement of the integrated Luminosities of cross-section scan data samples around theψ(3770)mass region

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Chinese Phy.ics C 2018年第6期42卷 1-8页

作者： M. Ablikim M. N. Achasov S. Ahmed M. Albrecht M. Alekseev A. Amoroso F. F. An Q. An y. Bai O. Bakina R. Baldini Ferroli y. Ban K. Begzsuren D. W. Bennett J. V. Bennett N. Berger M. Bertani D. Bettoni F. Bianchi E. Boger I. Boy.o R. A. Briere H. Cai X. Cai O. Cakir A. Calcaterra G. F. Cao S. A. Cetin J. Chai J. F. Chang W. L. Chang G. Chelkov G. Chen H. S. Chen J. C. Chen M. L. Chen P. L. Chen S. J. Chen X. R. Chen y. B. Chen X. K. Chu G. Cibinetto F. Cossio H. a. Dai, J. F. Dai A. Dbey.si D. Dedovich Z. y. Deng A. Denig I. Deny.enko M. Destefanis F. De Mori y. ding C. Dong J. Dong L. y. Dong M. y. Dong Z. L. Dou S. X. Du P. F. nuan J. Fang S. S. Fang y. Fang R. Farinelli L. Fava S. Fegan F. Feldbauer G. Felici C. Q. Feng E. Fioravanti M. Fritsch C. D. Fu Q. Gao X. L. Gao y. Gao, y. G. Gao Z. Gao B. Garillon I. Garzia A. Gilman K. Goetzen L. Gong W. X. Gong W. Gradl M. Greco L. M. Gu M. H. Gu y. T. Gu A. q. Guo L. B. Guo R. P. Guo y. F. Guo A. Guskov Z. Haddadi S. Han X. Q. Hao F. A. Harris Z. L. He X. O. He F. H. Heinsius T. Held y. K. Heng T. Holtmann Z. L. Hou H. M. Hu J. F. gu T. Hu y. Hu G. S. Huang J. S. Huang X. T. Huang X. Z. Huang Z. L. guang T. Hussain W. Ikegami Andersson M Irshad Q. Ji Q. P. Ji X. B. Ji X. L. Ji X. S. Jiang X. y. Jiang J. B. Jiao Z. Jiao D. P. Jin S. Jin y. Jin T. Johansson A. Julin N. Kalantar-Nay.stanaki X. S. Kang M. Kavatsy.k B. C. Ke T. Khan A. Khoukaz P. Kiese R. Kliemt L. Koch O. B. Kolcu B. Kopf M. Kornicer M. Kuemmel M. Kuessner A. Kupsc M. Kurth W. Kiihn J. S. Lange M. Lara P. Larin L. Lavezzi S. Leiber H. Leithofi C. Li Cheng Li D. M. Li F. Li F. y. Li G. Li H. B. Li H. J. Li J. C. Li J. W. Li K. J. Li Kang Li Ke Li Lei Li P. L. Li P. R. Li Q. y. Li T. Li W. D. Li W. G. Li X. L. Li X. N. Li X. Q. Li Z. B. Li H. Liang y. F. Liang y. T. Liang G. R. Liao L. Z. Liao J. Libby.C. X. Lin D. X. Lin S. Liu B. J. Liu C. X. Liu D. Liu D. y. Liu F. H. Liu Fang Liu Feng Liu H. B. Liu H. L Liu H. M. Liu Huanhuan Liu Huihui Liu J. B. Liu J. y. Liu K. Liu K. y. Liu Ke Liu L. D. Liu Q. Liu S B. Y. Zhang144 C. C. Zhang1D. H. Zhang1 H. H. Zhang45H. Y. Zhang144 J. Zhang151 J. L. Zhang65 J. Q. Zhang4 J. W. Zhang1 J. Y. Zhang1 J. Z. Zhang151 K. Zhang151 L. Zhang46 S. F. Zhang35 T. J. Zhang3975 X. Y. Zhang38 Y. Zhang4457 Y. H. Zhang144 Y. T. Zhang4557 Yang Zhang1 Yao Zhang1 Yu Zhang51 Z. H. Zhang6 Z. P. Zhan57Z. Y. Zhang64 G. Zhao1J. W. Zhao144 J. Y. Zhao151 J. Z. Zhao144 Lei Zhao4457 Ling Zhao1 M. G. Zhao35 Q. Zhao1 S. J. Zhao67 T. C. Zhao1 Y. B. Zhao144 Z. G. Zhao4457 A. Zhemehugov2869 B. Zheng58J. P. Zheng144 W. J. Zheng38 Y. H. Zheng51B. Zhong33 L. Zhou144 Q. Zhou151 X. Zhou64 X. K. Zhou4457 X. R. Zhou4457 X. Y. Zhou1 A. N. Zhu151 J. Zhu35 J. Zhu45 K. Zhu1 K. J. Zhu1 S. Zhu1 S. H. Zhu56 X. L. Zhu46 Y. C. Zhu4457 Y. S. Zhu151 Z. A. Zhu151 J. Zhuang144B. S. Zou1 J. H. Zou1 （ 1 Institute of High Energy Physics Beijing 100049 China Beihang University Beijing 100191 China Beijing Institute of Petrochemical Technology Beijing 102617 China Bochum Ruhr-University D-44780 Bochum Germany Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA Central China Normal University Wuhan 430079 China China Center of Advanced Science and Technology Beijing 100190 China COMSATS Institute of Information Technology Lahore Defence Road Off Raiwind Road 54000 Lahore Pakistan G.I. Budker Institute of Nuclear Phy.ics SB RAS （BINP） Novosibirsk 630090 Russia GSI Helmholtzcentre for Heavy.Ion Research GmbH D-64291 Darmstadt Germany Guangxi Normal University Guilin 541004 China Guangxi University Nanning 530004 China Hangzhou Normal University Hangzhou 310036 China Helmholtz Institute Mainz JohannwJoachim-Becher-Weg 45 D-55099 Mainz Germany Henan Normal University Xinxiang 453007 China Henan University.of Science and Technology Luoyang 471003 China Huangshan College Huangshan 245000 China Hunan Normal University Changsha 410081 China Hunan University Changsha 410082 China Indian Institute of Tec

To investigate the nature of the Ψ（3770） resonance and to measure the cross section for e^＋e^-→DD, a cross-section scan data sample, distributed among 41 center-of-mass energy.points from 3.73 to 3.89 GeV, was taken with the BESIII detector operated at the BEPCII collider in the y.ar 2010. By.analy.ing the large angle Bhabha scattering events, we measure the integrated luminosity.of the data sample at each center-of-mass energy.point. The total integrated luminosity.of the data sample is 76.16±0.04±0.61 pb^-1, where the first uncertainty.is statistical and the second sy.tematic.

关键词： Bhabha scattering events integrated luminosity.BESⅢ

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Aquaporin-4 deficiency.down-regulates glutamate uptake and GLT-1 expression in astrocy.es

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南京医科大学学报（自然科学版） 2007年第4期27卷 306-306页

作者： Zeng, X. N. X. L. Cao,L. Fan, y. ding, J. H. Hu,G. Nanjing Med Univ Dept Anat Histol ＆ Pharmacol NeurophonnAcol Lab Nanjing 210029 Jiangsu Peoples R China. ）

Aquaporin-4 deficiency.down-regulates glutamate uptake and GLT-1 expression in astrocy.es

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南京医科大学学报（自然科学版） 2007年第5期27卷 431-431页

作者： Zeng, X. N. Sun, X. L. Gao, L. Fan, y. ding, J. H. Hu, G. Nanjing Med Univ Dept Anat Histol ＆ Pharmacol Neuropharmacol Lab Nanjing 210029 Jiangsu Peoples R China

Field Test of Optical and Electrical Fire Detectors in Simulated Fire Scenes in a Cable Tunnel

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Photonic Sensors 2014年第2期4卷 156-161页

作者： Dian FAN Hongjun ding Dorothy.y. WANG Desheng JIANG National Engineering Laboratory.for Fiber Optic Sensing Technology Wuhan University of Technology Wuhan430070 China Sheny.ng Fire Research Institute Shenyang 110034 China Center for Photonics Technology Bradley Department of Electrical and Computer Engineering Virginia PolytechnicInstitute and State University Blacksburg VA 24061 USA

This paper presents the testing results of three ty.es of fire detectors： electrical heat sensing cable, optical fiber Raman temperature sensing detector, and optical fiber Bragg grating （FBG） temperature sensing detector, in two simulated fire scenes in a cable tunnel. In the small-scale fire with limited thermal radiation and no flame, the fire alarm only.comes from the heat sensors which directly.contact with the heat source. In the large-scale fire with about 5 ℃/min temperature rising speed within a 3-m span, the fire alarm response time of the fiber Raman sensor and FBG sensors was about 30 seconds. The test results can be further used for formulating regulation for early.fire detection in cable tunnels.

关键词： Fire simulation fire detector cable tunnel response time