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作者： Yang, Li College of Electrical and Information Engineering Southwest University for Nationalities Chengdu China School of Automation University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9783038351221

This paper analyzes the basic theory of the microstrip narrow-band filter design and accomplishes the design of narrow band-pass filter whose center frequency is on L-band with the help of the Agilent ADS simulation software. The filter adopts Chebyshev's prototype structure and consists of coupled microstrip line. Its fluctuation is less than 0.5dB and attenuation is less than 1.5dB between 1.9GHZ and *** port Reflection coefficient less than-15dB and attenuation is greater than 20dB at 1.72GHZ and 2.3GHZ. Layout simulation meets the requirement of filter design. © (2014) Trans Tech Publications, Switzerland.

关键词： Bandpass filters

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Author Correction: The challenge of mapping the human connectome based on diffusion tractography

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Nature communications 2019年第1期10卷 5059页

作者： Klaus H Maier-Hein Peter F Neher Jean-Christophe Houde Marc-Alexandre Côté Eleftherios Garyfallidis Jidan Zhong Maxime Chamberland Fang-Cheng Yeh Ying-Chia Lin Qing Ji Wilburn E Reddick John O Glass David Qixiang Chen Yuanjing Feng Chengfeng Gao Ye Wu Jieyan Ma Renjie He Qiang Li Carl-Fredrik Westin Samuel Deslauriers-Gauthier J Omar Ocegueda González Michael Paquette Samuel St-Jean Gabriel Girard François Rheault Jasmeen Sidhu Chantal M W Tax Fenghua Guo Hamed Y Mesri Szabolcs Dávid Martijn Froeling Anneriet M Heemskerk Alexander Leemans Arnaud Boré Basile Pinsard Christophe Bedetti Matthieu Desrosiers Simona Brambati Julien Doyon Alessia Sarica Roberta Vasta Antonio Cerasa Aldo Quattrone Jason Yeatman Ali R Khan Wes Hodges Simon Alexander David Romascano Muhamed Barakovic Anna Auría Oscar Esteban Alia Lemkaddem Jean-Philippe Thiran H Ertan Cetingul Benjamin L Odry Boris Mailhe Mariappan S Nadar Fabrizio Pizzagalli Gautam Prasad Julio E Villalon-Reina Justin Galvis Paul M Thompson Francisco De Santiago Requejo Pedro Luque Laguna Luis Miguel Lacerda Rachel Barrett Flavio Dell'Acqua Marco Catani Laurent Petit Emmanuel Caruyer Alessandro Daducci Tim B Dyrby Tim Holland-Letz Claus C Hilgetag Bram Stieltjes Maxime Descoteaux Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. k.maier-hein@dkfz.de. Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg 69120 Germany. Sherbrooke Connectivity Imaging Lab (SCIL) Université de Sherbrooke Sherbrooke QC J1K 0A5 QC Canada. Department of Intelligent Systems Engineering School of Informatics and Computing Indiana University Bloomington IN 47408 USA. Krembil Research Institute University Health Network Toronto Canada M5G 2C4. Department of Neurological Surgery University of Pittsburgh School of Medicine Pittsburgh PA 15213 USA. IMT-Institute for Advanced Studies Lucca 55100 Italy. Department of Diagnostic Imaging St. Jude Children's Research Hospital Memphis TN 38105 USA. University of Toronto Institute of Medical Science Toronto Canada M5S 1A8. Institute of Information Processing and Automation Zhejiang University of Technology Hangzhou 310023 Zhejiang China. United Imaging Healthcare Co Shanghai 201807 China. Shanghai Advanced Research Institute Shanghai 201210 China. Laboratory of Mathematics in Imaging Harvard Medical School Boston MA 02215 USA. Center for Research in Mathematics Guanajuato 36023 Mexico. PROVIDI Lab Image Sciences Institute University Medical Center Utrecht Utrecht 3508 The Netherlands. Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Maindy Road Cardiff CF24 4HQ UK. Department of Radiology University Medical Center Utrecht Utrecht 3508 The Netherlands. Centre de recherche institut universitaire de geriatrie de Montreal (CRIUGM) Université de Montréal Montreal QC Canada H3W 1W5. Sorbonne Universités UPMC Univ Paris 06 CNRS INSERM Laboratoire d'Imagerie Biomédicale (LIB) 75013 Paris France. Center for Advanced Research in Sleep Medicine Hôpital du Sacré-Coeur de Montréal Montreal Canada H4J 1C5. Neuroimaging Unit Institute of Bioimaging and Molecular Physiology (IBFM) Nat

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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The design of pattern generator module in a data synthesized analyzer

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2014年第12 SUPPL.期34卷 72-77页

作者： Han, Xili Yang, Wanyu College of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China

This paper presents a project of data synthesized analyzer which integrated by a logic analyzer and a pattern generator, and described the design of pattern generator in detail which connected to PCI via interface circuit designed in FPGA. The pattern generator's Clock output rate is 300 MHz maximum, and it has 64 output channels which every one has 64M depths realized by dynamic storage onboard. Many types of code message are provided as well as users can conveniently enter data blocks in list editor or waveform editor. Equipped with various drivers users can get TTL,LVTTL,CMOS,LVDS,PECL,LVPECL,ECL outputs.

关键词： Digital storage

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Corrigendum to “Compatibilities and interfacial diffusions between U-10Zr alloy and Zircaloy-4 alloy” [J. Nucl. Mater. 473 (2016) 223–228]

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Journal of nuclear Materials 2016年 477卷 318-318页

作者： Yunming Liu Fu Wang Haitao Liu Wenbin Xiong Hui Wang Qianfu Pan Yuting Zhang Ce Ma Pengcheng Zhang National Key Laboratory for Nuclear Fuel and Materials Nuclear Power Institute of China Chengdu 610041 China School of Material Science and Engineering Southwest University of Science and Technology Mianyang 621010 Sichuan China State Key Laboratory of Rolling and Automation Northeastern University Shenyang 110819 China Nuclear and Radiation Safety Center Ministry of Environmental Protection NO. 54 Hong Lian Nan Cun Haidian P.O. Box 8088 Beijing 100082 China Science and Technology on Surface Physics and Chemistry Laboratory P.O. Box No. 9-35 Huafengxincun Jiangyou City Sichuan Province 621908 China

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Analysis of two-phase flow instability in multi-channel system 22

Analysis of two-phase flow instability in multi-channel syst...

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2014 22nd International Conference on nuclear engineering, ICONE 2014

作者： Genglei, Xia Minjun, Peng Du, Xue Key Discipline Laboratory of Nuclear Safety and Simulation Technology Harbin Engineering University Harbin City China College of Automation Harbin Engineering University Harbin City China

ISBN: (纸本)9780791845905

Ledinegg instability is one of the most important static instabilities for two phase flow system, especially in microchannel systems. In this paper, the force circulation two phase flow instability in vertical multi-channel system is performed by the best estimate system computer code RELAP5. The process and inherent reason of flow instability between multichannel system (FIBM) and flow excursion in forced circulation parallel channel system are analyzed. The effects of main operating parameters related to static onset of flow instability are investigated. Inlet subcooling, inlet restrictor, and saturation pressure are sensitive to the stability of parallel channel system.. Copyright © 2014 by ASME.

关键词： Two phase flow

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Geological Characteristics and Genesis of Dongshan Pb-Zn Deposit in Baoshan,Yunnan

Geological Characteristics and Genesis of Dongshan Pb-Zn Dep...

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第14届国际矿床成因协会大会

作者： DING Xitong ZHOU Sichun ZHU Jian WANG Xinghua College of Nudear Technology and Automation Engineering Chengdu University of Technology

1 Introduction Dongshan Pb-Zn deposit is located in the Baoshan anticlinorium in Baoshan-Shidian NS structural zone and NS faults zone which belongs to the Baoshan block of Gandise-Nyainqentanglha fold system western ... 详细信息

关键词： Geological Characteristics and Genesis of Dongshan Pb-Zn Deposit in Baoshan,Yunnan

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Modelling and simulation of containment retention factor for can-type containment

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International Journal of nuclear Energy Science and technology 2014年第4期8卷 333-350页

作者： Mehboob, Khurram Park, Kwangheon Ahmed, Raheel COMSATS Institute of Information Technology Chack Shehzad Park Road Islamabad46000 Pakistan Department of Nuclear Engineering Kyung Hee University Yongin-si446-701 Korea Republic of College of Automation Harbin Engineering University 145-31 Nantong street Harbin150001 China

Severe accidents cause the failure of fission product barriers and allow the fission products to escape into the environment. The containment is the last barrier for fission products. Thus, containment spray system, heat removal system, recirculation filtration system, Containment Filtered Venting System (CFVS) and containment exhaust filtration system are installed in the containment to mitigate the exposure to environment. In this work, modelling and simulation of the Containment Retention Factor (CRF) have been carried out for the can-type PWR containment considering a 1000 MWe PWR. Computational modelling and simulation have been carried out by developing a kinetic code in MATLAB, which uses the containment-specific activity available after the accident. The kinetic dependency of CRF in terms of containment filtration systems and spray system with caustic and boric acid spray has been carried out. For noble gases, iodine and aerosols, the CRF increases with the increase in exhaust rate, while with the containment spray flow rate, the CRF for iodine first increases and then starts reducing with significant magnitude. © 2014 Inderscience Enterprises Ltd.

关键词： Aerosols

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The large enriched germanium experiment for neutrinoless double beta decay (LEGEND)

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AIP Conference Proceedings 2017年第1期1894卷

作者： N. Abgrall A. Abramov N. Abrosimov I. Abt M. Agostini M. Agartioglu A. Ajjaq S. I. Alvis F. T. Avignone, III X. Bai M. Balata I. Barabanov A. S. Barabash P. J. Barton L. Baudis L. Bezrukov T. Bode A. Bolozdynya D. Borowicz A. Boston H. Boston S. T. P. Boyd R. Breier V. Brudanin R. Brugnera M. Busch M. Buuck A. Caldwell T. S. Caldwell T. Camellato M. Carpenter C. Cattadori J. Cederkäll Y.-D. Chan S. Chen A. Chernogorov C. D. Christofferson P.-H. Chu R. J. Cooper C. Cuesta E. V. Demidova Z. Deng M. Deniz J. A. Detwiler N. Di Marco A. Domula Q. Du Yu. Efremenko V. Egorov S. R. Elliott D. Fields F. Fischer A. Galindo-Uribarri A. Gangapshev A. Garfagnini T. Gilliss M. Giordano G. K. Giovanetti M. Gold P. Golubev C. Gooch P. Grabmayr M. P. Green J. Gruszko I. S. Guinn V. E. Guiseppe V. Gurentsov Y. Gurov K. Gusev J. Hakenmüeller L. Harkness-Brennan Z. R. Harvey C. R. Haufe L. Hauertmann D. Heglund L. Hehn A. Heinz R. Hiller J. Hinton R. Hodak W. Hofmann S. Howard M. A. Howe M. Hult L. V. Inzhechik J. Janicskó Csáthy R. Janssens M. Ješkovský J. Jochum H. T. Johansson D. Judson M. Junker J. Kaizer K. Kang V. Kazalov Y. Kermadic F. Kiessling A. Kirsch A. Kish A. Klimenko K. T. Knöpfle O. Kochetov S. I. Konovalov I. Kontul V. N. Kornoukhov T. Kraetzschmar K. Kröninger A. Kumar V. V. Kuzminov K. Lang M. Laubenstein A. Lazzaro Y. L. Li Y.-Y. Li H. B. Li S. T. Lin M. Lindner I. Lippi S. K. Liu X. Liu J. Liu D. Loomba A. Lubashevskiy B. Lubsandorzhiev G. Lutter H. Ma B. Majorovits F. Mamedov R. D. Martin R. Massarczyk J. A. J. Matthews N. McFadden D.-M. Mei H. Mei S. J. Meijer D. Mengoni S. Mertens W. Miller M. Miloradovic R. Mingazheva M. Misiaszek P. Moseev J. Myslik I. Nemchenok T. Nilsson P. Nolan C. O’Shaughnessy G. Othman K. Panas L. Pandola L. Papp K. Pelczar D. Peterson W. Pettus A. W. P. Poon P. P. Povinec A. Pullia X. C. Quintana D. C. Radford J. Rager C. Ransom F. Recchia A. L. Reine S. Riboldi K. Rielage S. Rozov N. W. Rouf E. Rukhadze N. Rumyantseva R. Saakyan E. Sala F. Salamida V. Sandukovsky G. Savard S. Schöne 1Institute for Nuclear and Particle Astrophysics and Nuclear Science Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA 2National Research Centre “Kurchatov Institute” Moscow Russia 3Leibniz Institute for Crystal Growth Berlin Germany 4Max-Planck-Institut für Physik München Germany 5Gran Sasso Science Institute L’Aquila Italy 6Department of Physics Dokuz Eylül University Buca Izmir Turkey 7Center for Experimental Nuclear Physics and Astrophysics and Department of Physics University of Washington Seattle Washington 98195 USA 8Department of Physics and Astronomy University of South Carolina Columbia South Carolina 29208 USA 9Oak Ridge National Laboratory Oak Ridge Tennessee 37830 USA 10South Dakota School of Mines and Technology Rapid City South Dakota 57701 USA 11Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Gran Sasso Assergi (AQ) Italy 12Institute for Nuclear Research of the Russian Academy of Sciences Moscow Russia 13Physik-Institut University of Zürich Zürich Switzerland 14National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) 115409 Moscow Russia 15Joint Institute for Nuclear Research Dubna Moscow Russia 16University of Liverpool Liverpool UK 17Department of Physics and Astronomy University of New Mexico Albuquerque New Mexico 87131 USA 18Department of Nuclear Physics and Biophysics Comenius University Bratislava Slovakia 19Dipartimento di Fisica e Astronomia dell’Universita’ di Padova Italy 20Padova Istituto Nazionale di Fisica Nucleare Padova Italy 21Department of Physics Duke University Durham North Carolina 27708 Italy 22Triangle Universities Nuclear Laboratory Durham North Carolina 27708 USA 23Department of Physics and Astronomy University of North Carolina Chapel Hill North Carolina 27514 Italy 24Physik Department Technische Universität München Germany 25Argonne National Laboratory Argonne Illinois 60439 USA 26Istituto Nazionale di Fisica Nucleare Milano Biocca

The observation of neutrinoless double-beta decay (0νββ) would show that lepton number is violated, reveal that neu-trinos are Majorana particles, and provide information on neutrino mass. A discovery-capable experiment covering the inverted ordering region, with effective Majorana neutrino masses of 15 − 50 meV, will require a tonne-scale experiment with excellent energy resolution and extremely low backgrounds, at the level of ∼0.1 count /(FWHM·t·yr) in the region of the signal. The current generation 76Ge experiments GERDA and the Majorana Demonstrator, utilizing high purity Germanium detectors with an intrinsic energy resolution of 0.12%, have achieved the lowest backgrounds by over an order of magnitude in the 0νββ signal region of all 0νββ experiments. Building on this success, the LEGEND collaboration has been formed to pursue a tonne-scale 76Ge experiment. The collaboration aims to develop a phased 0νββ experimental program with discovery potential at a half-life approaching or at 1028 years, using existing resources as appropriate to expedite physics results.

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Panzhihua Airport Landslide (Oct. 3rd 2009) and an Emergency Monitoring and Warning System Based on the Internet of Things

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Journal of Mountain Science 2013年第5期10卷 873-884页

作者： WANG Hong-hui TUO Xian-guo ZHANG Gui-yu PENG Feng-ling State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu University of Technology Southwest University of Science and Technology

Panzhihua city （26°O5＇-27°21＇N, 101°OS＇- 102°15＇E）, located in a mountainous area, is one of the large cities in Sichuan province, China. A landslide occurred in the filling body of the eastern part of the Panzhihua airport on October 3, 2009 （hereafter called the lo.3 landslide）. We conducted field survey on the landslide and adopted emergency monitoring and warning models based on the Internet of Things （loT） to estimate the losses from the disaster and to prevent a secondary disaster from occurring. The results showed that four major features of the airport site had contributed to the landslide, i.e, high altitude, huge amount of filling rocks, deep backfilling and great difficulty of backfilling. The deformation process of the landslide had six stages and the unstable geological structure of high fillings and an earthquake were the main causes of the landslide. We adopted relative displacement sensing technology and Global System for Mobile Communications （GSM） technology to achieve remote, real-time and unattended monitoring of ground cracks in the landslide. The monitoring system, including five extensometers with measuring ranges of 200, 450 and 7oo mm, was continuously working for 17 months and released 7 warning signals with an average warning time of about 26 hours. At 10 am on 6 December 2009, the system issued a warning and on-site workers were evacuated and equipment protected immediately. At 2：20 medium-scale collapse monitoring site, which proved the reliability pm on 7 December, a occurred at the No. 5 justified the alarm and and efficiency of the monitoring system.

关键词： Landslide Panzhihua Airport Internetof Things （IoT） Emergency monitoring

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Kinetic study of containment retention factor (CRF) for large dry containment under radiation load 22

Kinetic study of containment retention factor (CRF) for larg...

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2014 22nd International Conference on nuclear engineering, ICONE 2014

作者： Khurram, Mehboob Kwangheon, Park Rehan, Khan Majid, Ali Raheel, Ahmed COMSATS Institute of Information Technology Chack Shehzad Park Road Islamabad46000 Pakistan College of Nuclear Engineering Kyung Hee University Yongin-city446-701 Korea Republic of Islamabad46000 Pakistan Center of Energy Systems National University of Science and Technology H-12 Sector Islamabad46000 Pakistan College of Automation Harbin Engineering University Harbin150001 China

ISBN: (纸本)9780791845936

The nuclear Power Plants (NPPs) have been built on the concept of Defense in depth. The severe accident causes the failure of fission product barriers and let the fission products to escape into environment. The containment is the last barrier to the fission products. Thus, the containment is installed with engineering safety features (ESFs) i.e. spray system, heat removal system, recirculation filtration system;containment filtered venting system (CFVS), and containment exhaust filtration system. In this work, kinetic study of the containment retention factor (CRF) has been carried out for a large dry PWR containment considering 1000 MWe PWR. The computational modeling and simulation have been carried out by developing a kinetic code in MATLAB, which uses the fractions of activity airborne into the containment after the accident. The Kinetic dependency of CRF on containment filtration systems, spray system with caustic and boric acid spray has been carried out. For noble gases, iodine and aerosols, the CRF increases with the increase in exhaust rate. While, CRF for iodine first increases then start reducing with containment spray flow rate. The Kinetic dependency of CRF has also been studied for boric and caustic spray.. Copyright © 2014 by ASME.

关键词： Aerosols

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