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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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Novel way to research nonlinear feedback shift register

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Science China(Information Sciences) 2014年第9期57卷 161-174页

作者： ZHAO DaWei PENG HaiPeng LI LiXiang HUI SiLi YANG YiXian Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Zhejiang Provincial Key Lab of Data Storage and Transmission Technology Hangzhou Dianzi University National Engineering Laboratory for Disaster Backup and Recovery Beijing University of Posts and Telecommunications Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center

In this paper,we regard the nonlinear feedback shift register(NLFSR)as a special Boolean network,and use semi-tensor product of matrices and matrix expression of logic to convert the dynamic equations of NLFSR into an equivalent algebraic *** on them,we propose some novel and generalized techniques to study ***,a general method is presented to solve an open problem of how to obtain the properties(the number of fixed points and the cycles with different lengths)of the state sequences produced by a given NLFSR,i.e.,the analysis of a given *** then show how to construct all 22n-(l-n)/22n-lshortest n-stage feedback shift registers(nFSR)and at least 22n-(l-n)-1/22n-l-1shortest n-stage nonlinear feedback shift registers(nNLFSR)which can output a given nonperiodic/periodic sequence with length ***,we propose two novel cycles joining algorithms for the construction of full-length ***,two algorithms are presented to construct 22n-2-1different full-length nNLFSRs,respectively.

关键词： nonlinear feedback shift register semi-tensor product Boolean network full-length nNLFSR binary sequence

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Alias Detection Across Multi-online Applications Based on User's Behavior Characteristics

Alias Detection Across Multi-online Applications Based on Us...

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IEEE International Conference on Trust, security and Privacy in Computing and Communications (TrustCom)

作者： Zhaoli Liu Tao Qin Xiaohong Guan Xiaoqiang Niu Tao Yang MoE Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an Shaanxi China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Department of Automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781467379533

The quickly development of many online applications benefit our daily life. But on the other hand, user usually holds several aliases in different online applications. The aliases across multi-online applications detection are becoming more and more important for E-marketing and user's behavior monitoring. In this paper, we propose a method for detecting aliases across multi-online applications. Firstly, we employ the active and positive methods to collect the user's alias and behavior information from several famous applications, including Email, RenRen and etc. Then we analyzed the user's behavior characteristics in specific applications, and some interesting findings are proposed. Finally, we perform the alias detection based on user's behavior profiles, including the similarity of the ID and the number of appearance in specific IP address. According to user's behavior habit, the aliases belong to the same physical users are usually similar with each other. Furthermore, one specific user usually use the same computer to login into different applications, thus the IP addresses used for accessing those applications usually same with each other. Based on those assumptions we employ the Bayesian network to perform alias detection. Empirical results based on actual data verify the efficiency and correctness of the proposed methods.

关键词： Multi-application Alias detection Bayes networks

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PEVTS: Privacy-Preserving Electric Vehicles Test-Bedding Scheme

PEVTS: Privacy-Preserving Electric Vehicles Test-Bedding Sch...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Xu Yang Joseph K. Liu Wei Wu Man Ho Au Willy Susilo Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University China and State Key Laboratory of Cryptology Beijing China Faculty of Information Technology Monash University Australia Department of Computing Hong Kong Polytechnic University Hong Kong School of Computer Science and Software Engineering University of Wollongong Australia

Electric Vehicle (EV) infrastructure is relatively new in many countries. Due to the recency of an EV infrastructure, it is important to carry out a series of testing programs. Furthermore, authenticity for collection of data is necessary for testing programs in order to provide accurate results. At the same time, user privacy should not cease since tracing one's daily logistic movements or behaviour from the EV testing programs means breaching one's privacy. In this paper, we propose a novel solution PEVTS for enabling both data authenticity and user privacy concurrently. Our proposed system provides great flexibility to the authority to choose any arbitrary set of authenticated users for testing in every time period. At the same time, it provides anonymity for all participating users. Yet it can trace any vehicle within a time period for statistical purpose. We give a detailed description of our system. We also implement the prototype of our system to show its practicality.

关键词： Testing Privacy Cryptography Electric vehicles Data privacy Authentication

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An Energy-saving Algorithm for Wireless Sensor networks Based on network Coding and Compressed Sensing

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中国通信 2014年第z1期11卷 171-178页

作者： QIN Tuanfa MENG Yunfan LI Liangliang WAN Haibin ZHANG Dongmei School of Computer and Electronic Information Guangxi University Nanning 530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology Guangxi University Nanning 530004 China Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China National Engineering Laboratory for Disaster Backup and Recovery Beijing 100876 China

An energy-saving algorithm for wireless sensor networks based on network coding and compressed sensing （CS-NCES） is proposed in this paper. Along with considering the correlations of data spatial and temporal, the algorithm utilizes the similarities between the encoding matrix of network coding and the measurement matrix of compressed sensing. The source node firstly encodes the data, then compresses the coding data by cot-npressed sensing over finite fields. Compared with the network coding scheme, simulation results show that CS-NCES reduces the energy consumption about 25.30/0-34.50/0 and improves the efficiency of data reconstruction about 1.56%- 5.98%. The proposed algorithm can not only enhance the usability of network coding in wireless sensor networks, but also improve the network performance.

关键词： wireless sensor networks network coding compressed sensing deterministic matrix network energy-efficiency

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Failure mechanism of tunnel portal during strong earthquakes

Failure mechanism of tunnel portal during strong earthquakes

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6th China-Japan-US Trilateral Symposium on Lifeline Earthquake Engineering Symposium

作者： Zhao, X. Li, T.B. Tao, L.J. Hou, S. Li, L.Y. Qiu, W.G. Key Laboratory of Urban Security and Disaster Engineering Ministry of Education Beijing University of Technology 100124 Beijing China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Dongsan Rd. 1 Chenghua District Chengdu City China Institute for Geotechnical Engineering and Underground Construction Beijing University of Technology 100124 Beijing China Key Laboratory of Transportation Tunnel Engineering Ministry of Education Southwest Jiaotong University Chengdu 610031 China

ISBN: (纸本)9780784413234

Tunnel portal section is one of the most easily damaged parts in mountain tunnel during strong earthquake. Tunnel opening is the only part exposed outside the surrounding rock. Failures of this part may block roads, which greatly influences the transportation of the local area. Examples are studied in this paper focus on failures on tunnel portals. Damage types are categorized. According to these damage types, influencing factors and mechanism of these damages are analyzed including thickness of cover layers, interfaces and discontinuities, construction methods. Suggestions of seismic resistance and reduction methods are proposed regarding these influencing factors.

关键词： Failure (mechanical)

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Bottleneck Analysis for Data Acquisition in High-Speed network Traffic Monitoring

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China Communications 2014年第1期11卷 110-118页

作者： JIANG Wei TIAN Zhihong CAI Chao GONG Bei College of Computer Science Beijing University of Technology Beijing 100124 China School of Computer National University of Defense Technology Changsha 410073 China Key Laboratory of Information and Network Security Ministry of Public Security Shanghai 201204 China School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China

The increasing network throughput challenges the current network traffic monitor systems to have compatible high-performance data *** design of packet processing systems is guided by the requirements of high packet processing *** this paper,we depict an in-depth research on the related techniques and an implementation of a high-performance data acquisition *** the bottleneck analysis with the aid of queuing network model,several performance optimising methods,such as service rate increasing,queue removing and model simplification,are *** experiment results indicate that this approach is capable of reducing the CPU utilization ratio while improving the efficiency of data acquisition in high-speed networks.

关键词： data acquisition bottleneck ana- lysis queuing theory semi-polling

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A Provably secure Certificate based ring signature without pairing

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International Journal of network security 2014年第4期16卷 278-285页

作者： Qin, Zhiguang Xiong, Hu Li, Fagen School of Computer Science and Engineering University of Electronic Science and Technology of China No. 4 North Jianshe Road Chenghua District chengdu Sichuan 610054 China Key Lab of Network Security and Cryptology Fujian Normal University No. 8 Shangsan Road Cangshan District Fuzhou Fujian 350007 China State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences No. 19 Yuquan Road Shijingshan District Beijing 100190 China

In Eurocrypt 2003, Gentry introduced the notion of certificate-based encryption. The merit of certificate-based encryption lies in implicit certificate and no private key escrow. This feature is desirable especially for the efficiency and the real spontaneity of ring signature, which involve a large number of public keys in each execution. In this paper, we propose an efficient certificate-based ring signature scheme which does not require any pairing computation. Furthermore, this scheme is proven secure under the Discrete Logarithm assumption in the random oracle model. To the best of authors' knowledge, this is the first construction of certificate-based ring signature scheme in the literature that has such kind of feature.

关键词： Authentication

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MF-PDP:MULTI-FUNCTION PROVABLE DATA POSSESSION SCHEME IN CLOUD COMPUTING

MF-PDP:MULTI-FUNCTION PROVABLE DATA POSSESSION SCHEME IN CLO...

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2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems

作者： Xiaojun Yu Qiaoyan Wen State key laboratory of networking and switching technology Beijing University of Posts and Telecommunications Beijing Topsec Network Security Technology Co.Ltd

This paper proposed a multi-function provable data possession(MF-PDP),which supports public verification,data dynamic,unlimited times verification and sampling *** detail design is provided and the theory analysis about the correctness,security and performance are also *** experiment emulation and compare analysis suggest the feasibility and advantage.

关键词： Multi-function Provable data possession Cloud computing

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MF-PDP: Multi-function provable data possession scheme in cloud computing

MF-PDP: Multi-function provable data possession scheme in cl...

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IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)

作者： Xiaojun Yu Qiaoyan Wen State key laboratory of networking and switching technology Beijing University of Posts and Telecommunications Beijing China Beijing Topsec Network Security Technology Co. Ltd. Beijing China

ISBN: (纸本)9781467369541

This paper proposed a multi-function provable data possession (MF-PDP), which supports public verification, data dynamic, unlimited times verification and sampling verification. The detail design is provided and the theory analysis about the correctness, security and performance are also described. The experiment emulation and compare analysis suggest the feasibility and advantage.

关键词： Cloud computing Multi-function Provable data possession Cloud Computing Verification

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