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International Conference on Communication Software and Networks, ICCSN

作者： Zhao Wu Yu Zhang Long Jiang Song Jian Department of Electronic Engineering Tsinghua University Tsinghua National Laboratory for Information Science and Technology Beijing P. R. China National Engineering Lab. for DTV (Beijing) Shenzhen City Key Laboratory of Digital TV System (Guangdong Province Key Laboratory of Digital TV System) Guangdong China

ISBN: (纸本)9781479919857

Burst data transmission is widely used in wireless communications. Rapid and robust symbol timing is critical for burst communication and it has a great impact on the performance of subsequent demodulation and the whole system. Feed-forward symbol timing has the advantage of fast convergence and it is very suitable for burst communication. Feed-forward symbol timing estimation, generally speaking, can be classified into two broad categories: non-data-aided symbol timing estimation and data-aided symbol timing estimation. In this paper we present a novel data-aided symbol timing estimation. The symbol timing offset estimation is based on the cross correlation output of the preamble and square processing is utilized, which is similar to the non-data-aided symbol timing. The proposed estimation exhibits good performance with low complexity. Besides, it is shown by computer simulations that the method is not sensitive to roll-off factor and works well at low SNR.

关键词： Timing Estimation Correlation Accuracy Noise Fourier transforms Complexity theory

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A method to evaluate the spatial extensibility of a switching unit and network

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Science China(Information Sciences) 2014年第2期57卷 140-156页

作者： ZHANG Bo WU JunTing WANG BinQiang LI Hui National Digital Switching System Engineering Technological R&D Center Shenzhen Key Lab of Cloud Computing Technology and Application

Switching units and networks have been analyzed as extensible fabrics,mostly in terms of their scheduling *** traditional literature on switching extensibility has provided complexity theory only relating to the total numbers of inputs(or outputs)and exchange *** paper analyzes switching extensibility in terms of not only the scheduling algorithm and also the fabric *** is found that determining extensibility from soft complexity related to the number of inputs(or outputs)of the scheduling algorithm and the fabric extensibility in previous studies without quantization is a flawed conception.A method is thus proposed to express the spatial extensibility of a switching unit or network in terms of the connections of a switching resource and *** method calculates parameter ES(the efciency of switching)of an m×n switching unit and obtains two functions of the switching unit to describe spatial extensibility along with the number of unilateral inputs or *** is found that the range of ES is(0,1]and three types of switching unit and two types of crosspoint networks have ES=*** is calculated for banyan,Clos,parallel packet,fully interconnected and recirculation switching *** ES value for the banyan switching network is larger than that for other networks,and switching networks are classified into three types that have absolute/linear/denied spatial extensibility according to the limES *** is demonstrated that a switching network has the largest ES value when it contains only the five types of switching unit for which ES=***,a group-switching-first self-routing banyan switching network with lower blocking probability and time delay is deduced,and the ES method is contrasted with two other methods of evaluating spatial extensibility in terms of their mathematical expressions and intuitive graphics,for the five types of switching network listed above.

关键词： spatial extensibility connection state efciency of switching banyan fully interconnected recirculation switching network

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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A low-complexity detector for uplink massive MIMO systems based on Gaussian approximate belief propagation

A low-complexity detector for uplink massive MIMO systems ba...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Yu Zhang Ling Huang Jian Song Jianqi Li Weilin Liu Shenzhen City Key Laboratory of Digital TV System Guangdong Province Key Laboratory of Digital TV System Department of Electronic Engineering National Engineering Lab for DTV Beijing P. R. China State Grid Smart Grid Research Institute Beijing P.R. China

ISBN: (纸本)9781467376884

In massive multiple-input multiple-output (MIMO) systems, the number of base station (BS) antennas could reach tens or even hundreds, therefore the hardware cost of adopting conventional signal detectors can be unaffordable due to their high complexity which increases quickly with the number of the transceiver antennas. To solve this problem, this paper proposes a low-complex iterative detector based on Gaussian approximate belief propagation (GABP). The proposed algorithm calculates the first and second order of statistical properties of the messages sent between the transceiver nodes, and substantially reduces the complexity with just matrix-vector multiplication. The complexity of the proposed scheme is proved to be one order of magnitude smaller than that of conventional minimum mean square error (MMSE). The rapid convergence property is evaluated by mean square error (MSE). Simulation results demonstrate that the proposed algorithm could achieve better bit error rate (BER) performance than MMSE with a small number of iterations.

关键词： Complexity theory MIMO Detectors Bit error rate Antennas Transceivers Mean square error methods

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Modeling and Simulation for Safety Redundant Architecture in Train control system

Modeling and Simulation for Safety Redundant Architecture in...

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2015 4th national Conference on Electrical,Electronics and Computer engineering(NCEECE 2015)

作者： Hongjie Liu Bing Ning Tao Tang Yu Mu State Key Lab of Rail Traffic Control & Safety Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation & Control System Beijing Jiaotong University 101 Institute of the Ministry of Civil Affairs

ISBN: (纸本)9781510819085

It is an effective way to enhance the safety of train control system by using safety redundant architectures. This paper consider the typical safety redundant architectures, including double hot standby, 2-out-of-2, 2*2-out-of-2, and 2-out-of-3, establishes models for these architectures by Markov chain. Then the safety of different architectures are simulated using Matlab. The simulation results can provide a certain reference when choosing redundant architectures in real engineering.

关键词： train control system Markov model safety redundant architecture

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Directional Beamforming for High-Speed Railway Communications with Frequency Offset Precorrection

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Chinese Journal of Electronics 2014年第1期23卷 163-168页

作者： CAO Yuan WEN Yinghong XU Wei XIE Xin School of Electronics and Information Engineering National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University National Mobile Communications Research Lab. Southeast University

This paper considers a multi-antenna transmission strategy for high speed railway communications. In order to achieve better performance than conventional space-frequency block coding schemes, we propose a directional beamforming strategy for the High-speed railway(HSR) communication by exploiting some characteristic of the railway system including predetermined moving tracks and real-time positioning information. Moreover,for alleviating the effect of Doppler shift due to the moving train, a frequency offset precorrection method is also incorporated with direction beamforming. Theoretical Signalto-noise ratio(SNR) gain of the proposed beamforming scheme over traditional HSR communication schemes is also derived for illustrating the performance *** results verify the effectiveness of our proposed scheme even with some kind of imperfect position information available at the transmitter.

关键词： Multiple-input multiple-output(MIMO) Directional beamforming High-speed railway communications Frequency offset precorrection

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Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations

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Human molecular genetics 2017年第2期26卷 454-465页

作者： Wei Jie Seow Keitaro Matsuo Chao Agnes Hsiung Kouya Shiraishi Minsun Song Hee Nam Kim Maria Pik Wong Yun-Chul Hong H Dean Hosgood Zhaoming Wang I-Shou Chang Jiu-Cun Wang Nilanjan Chatterjee Margaret Tucker Hu Wei Tetsuya Mitsudomi Wei Zheng Jin Hee Kim Baosen Zhou Neil E Caporaso Demetrius Albanes Min-Ho Shin Lap Ping Chung She-Juan An Ping Wang Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Xiao-Ou Shu Young-Chul Kim Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Michiaki Kubo Yataro Daigo Hidemi Ito Yukihide Momozawa Kyota Ashikawa Yoichiro Kamatani Takayuki Honda Hiromi Sakamoto Hideo Kunitoh Koji Tsuta Shun-Ichi Watanabe Hiroshi Nokihara Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Zhihua Yin Jianxin Shi Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Tangchun Wu Fusheng Wei Jason Y Y Wong Fumihiko Matsuda Jian Su Yeul Hong Kim In-Jae Oh Fengju Song Victor Ho Fun Lee Wu-Chou Su Yuh-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Pan-Chyr Yang Hsien-Chih Lin Yong-Bing Xiang Adeline Seow Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Haixin Li Yu-Tang Gao Chen Wu Biyun Qian Daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Wen-Chang Wang Charles C Chung Charles Lawrence Laurie Burdett Meredith Yeager Kevin B Jacobs Amy Hutchinson Sonja I Berndt Xingzhou He Wei Wu Junwen Wang Yuqing Li Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu Chang Hyun Kang Lingmin Hu Chung-Hsing Chen Tsung-Ying Yang Jun Xu Peng Guan Wen Tan Chih-Liang Wang Alan Dart Loon Sihoe Ying Chen Yi Young Choi Jen-Yu Hung Jun Suk Kim Ho-Il Yoon Qiuyin Cai Chien-Chung Lin In Kyu Park Ping Xu Jing Dong Christopher Kim Qincheng He Reury-Perng Perng Chih-Yi Chen Roel Vermeulen Junjie Wu Wei-Yen Lim Kun-Chieh Chen John K C Chan Minjie Chu Yao-Jen Li Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Yen-Li Lo Ying-Hsiang Chen Joseph F Fraumeni Jie Liu Taiki Yamaji Yang Yang Belynda Hicks Kathleen Wyatt Shengchao A Li Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Saw Swee Hock School of Public Health National University of Singapore and National University Health System Singapore. Division of Molecular Medicine Aichi Cancer Center Research Institute Nagoya Japan. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Genome Biology National Cancer Center Research Institute Tokyo Japan. Department of Statistics Sookmyung Women's University Seoul Republic of Korea. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. Department of Pathology The University of Hong Kong Queen Mary Hospital Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Department of Epidemiology and Population Health Albert Einstein College of Medicine Bronx NY USA. Department of Computational Biology St. Jude Children's Research Hospital Memphis TN 38105 USA. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai People's Republic of China. State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai People's Republic of China. Division of Thoracic Surgery Kinki University School of Medicine Sayama Japan. Division of Epidemiology Department of Medicine Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center Nashville TN USA. Department of Integrative Bioscience & Biotechnology Sejong University Seoul Republic of Korea. Department of Epidemiology School of Public Health China Medical University Shenyang People's Republic of China. Guangdong Lung Cancer Institute Medical Research Center and Cancer Center of Guangdong General Hospital Guangdong Academy of Medical Sciences Guangzhou People's Republic

To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping in an additional 10,780 never-smoking cases and 10,938 never-smoking controls from Asia confirmed associations with eight known single nucleotide polymorphisms (SNPs). Two new signals were observed at genome-wide significance (P < 5 × 10-8), namely, rs7216064 (17q24.3, BPTF), for overall lung adenocarcinoma risk, and rs3817963 (6p21.3, BTNL2) which is specific to cases with EGFR mutations. In further sub-analyses by EGFR status, rs9387478 (ROS1/DCBLD1) and rs2179920 (HLA-DPB1) showed stronger estimated associations in EGFR-positive compared to EGFR-negative cases. Comparison of the overall associations with published results in Western populations revealed that the majority of these findings were distinct, underscoring the importance of distinct contributing factors for smoking and non-smoking lung cancer. Our results extend the catalogue of regions associated with lung adenocarcinoma in non-smoking Asian women and highlight the importance of how the germline could inform risk for specific tumour mutation patterns, which could have important translational implications.

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Chaos characteristics analysis of transient signals for phase-locked synthesizer based FHC system 14

Chaos characteristics analysis of transient signals for phas...

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14th International Symposium on Communications and Information Technologies, ISCIT 2014

作者： Ping, Li Guohong, Wang Yan, Xiaopeng Peng, Gong Shi, Wenbo Chunyun, Song Beijing Institute of Technology National Key Lab. of Mechatronic Engineering and Control Beijing100081 China Northeastern University School of Computer and Communication Engineering Qinhuangdao China National Lab. of Information Control Technology for Communication System Jiaxing Zhejiang314033 China

ISBN: (纸本)9781479944163

Frequency synthesizer plays an important role in frequency hopping communication system. In this paper, we derivate the conditions for a system to become the chaotic based on the phase model of phase-locked synthesizer. We found that the system parameter changing during the frequency switching is able to make the system to be chaotic. Based on the Cao's method [5], we find that the fractal dimension of the transient signals should be equal to or less than 4, which also provides the maximal positive Lyapunov exponent. In addition, the unique double-ring attractor of them is also reproduced through the phase reconstruction, which also implies that the frequency switching will result in a chaotic for Frequency-Hopping Communication system. © 2014 IEEE.

关键词： Fractal dimension

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Editorial

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Science China(Physics,Mechanics & Astronomy) 2014年第8期57卷 1413-1413页

作者： ZHANG Bo WU JunTing WANG BinQiang LI Hui National Digital Switching System Engineering Technological R&D Center Shenzhen Key Lab of Cloud Computing Technology and Application

The past decade has witnessed the birth of the golden age of precision cosmology. In particular, cosmic microwave back- ground （CMB） measurements have provided a powerful observational window to probe the earliest epochs of our Universe. Recently （March, 2014）, the Background Imaging of Cosmic Extragalactic Polarization （BICEP2） telescope at the South Pole announced the first detection of primordial B-mode polarization of the CMB that, if confirmed,

关键词：编辑宇宙微波背景宇宙学观察窗口河外星系 CMB 望远镜影像

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"what We Breathe Impacts Our Health: Improving Understanding of the Link between Air Pollution and Health"

"what We Breathe Impacts Our Health: Improving Understanding...

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作者： West, J. Jason Cohen, Aaron Dentener, Frank Brunekreef, Bert Zhu, Tong Armstrong, Ben Bell, Michelle L. Brauer, Michael Carmichael, Gregory Costa, Dan L. Dockery, Douglas W. Kleeman, Michael Krzyzanowski, Michal Künzli, Nino Liousse, Catherine Lung, Shih-Chun Candice Martin, Randall V. Pöschl, Ulrich Pope, C. Arden Roberts, James M. Russell, Armistead G. Wiedinmyer, Christine Environmental Sciences and Engineering University of North Carolina at Chapel Hill Chapel HillNC27599 United States Health Effects Institute BostonMA02110 United States European Commission Joint Research Centre Institute for Environment and Sustainability IspraI. 21027 Italy Institute for Risk Assessment Sciences Universiteit Utrecht Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht3584 CJ Netherlands State Key Lab for Environmental Simulation and Pollution Control College of Environmental Science and Engineering Peking University Beijing100871 China Social and Environmental Health Research London School of Hygiene and Tropical Medicine LondonWC1E 7HT United Kingdom School of Forestry and Environmental Studies Yale University New HavenCT06511 United States School of Population and Public Health University of British Columbia VancouverBCV6T 1Z3 Canada Chemical and Biochemical Engineering University of Iowa Iowa CityIA52242 United States Air Climate and Energy Research Program Office of Research and Development Environmental Protection Agency DurhamNC27705 United States Harvard T. H. Chan School of Public Health BostonMA02115 United States Civil and Environmental Engineering University of California at Davis DavisCA95616 United States Environmental Research Group King's College London LondonSE1 9NH United Kingdom Epidemiology and Public Health Swiss Tropical and Public Health Institute Basel Switzerland University of Basel Basel Switzerland Laboratoire d' Aérologie CNRS-Université de Toulouse Toulouse31400 France Research Center for Environmental Changes Academia Sinica Taipei Taiwan Physics and Atmospheric Science Dalhousie University HalifaxNSB3H 4R2 Canada Harvard-Smithsonian Center for Astrophysics CambridgeMA02138 United States Multiphase Chemistry Department Max Planck Institute for Chemistry Mainz55128 Germany Economics Brigham Young University ProvoUT84602 United States Ea

Air pollution contributes to the premature deaths of millions of people each year around the world, and air quality problems are growing in many developing nations. While past policy efforts have succeeded in reducing particulate matter and trace gases in North America and Europe, adverse health effects are found at even these lower levels of air pollution. Future policy actions will benefit from improved understanding of the interactions and health effects of different chemical species and source categories. Achieving this new understanding requires air pollution scientists and engineers to work increasingly closely with health scientists. In particular, research is needed to better understand the chemical and physical properties of complex air pollutant mixtures, and to use new observations provided by satellites, advanced in situ measurement techniques, and distributed micro monitoring networks, coupled with models, to better characterize air pollution exposure for epidemiological and toxicological research, and to better quantify the effects of specific source sectors and mitigation strategies. © 2016 American Chemical Society.

关键词： Health

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