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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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Research on the design of the effective transmission scheduling algorithm based on the factory wireless sensor network

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Open Automation and Control Systems Journal 2014年第1期6卷 1426-1434页

作者： Zhang, Yunyi Liu, Shuru Zhang, Ran Wei, Wei College of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China School of Computer Science and Engineering Xi’an University of Technology Xi’an China Shaanxi Key Laboratory for Network Computing and Security Technology China

In order to make the sensing data in the monitoring equipment’s sensor nodes reach to the monitoring center as soon as possible and deal with the equipment which has some problems, the network time delay should be guaranteed in the accessible Time Delay Bound. The paper mainly researches the transmission scheduling algorithm with the chain framework, which adopts the Token to do the transmission in the chain and then arranges the transmission order in each node for avoiding the occurrence of the collision and offering the guarantee of the time delay. The node order in each chain is the order of data packets which are transmitted by nodes, while the route of the data packet transmission is according to the shortest route in the Sink Tree for reducing the time delay. © Zhang et al.;Licensee Bentham Open.

关键词： Scheduling algorithms

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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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Color image encryption using iterative phase retrieve process in quaternion Fourier transform domain

Color image encryption using iterative phase retrieve proces...

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2014年光子与光学工程国际会议暨西部光子学学术会议

作者： Liansheng Sui K.Duan Xi’an University of Technology &Shaanxi Key Laboratory for Network Computing and Security Technology(China) Xi’an University of Technology(China)

ISBN: (纸本)9781628415650

A single-channel color image encryption method is proposed based on iterative phase retrieve process in quaternion Fourier transform ***,three components of the plain color image is confused respectively by using cat ***,the confused components are combined into a pure quaternion image,which is encoded to the phase only function by using an iterative phase retrieve ***,the phase only function is encrypted into the gray scale ciphertext with stationary white noise distribution based on the chaotic diffusion,which has camouflage property to some *** corresponding plain color image can be recovered from the ciphertext only with correct keys in the decryption *** results verify the feasibility and effectiveness of the proposed method.

关键词： Fourier optics and signal processing,phase retrieval,cat map

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Independent component analysis based on information bottleneck

Abstract and Applied Analysis

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Abstract and Applied Analysis 2015年第1期2015卷

作者： Ke, Qiao Zhang, Jiangshe Srivastava, H.M. Wei, Wei Chen, Guang-Sheng School of Mathematics and Statistics Xi'An Jiaotong University Xi'an 710049 China Department of Mathematics and Statistics University of Victoria Victoria V8W3R4 BC Canada School of Computer Science and Engineering Xi'An University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an 710048 China Department of Construction and Information Engineering Guangxi Modern Vocational Technology College Hechi Guangxi 547000 China

The paper is mainly used to provide the equivalence of two algorithms of independent component analysis (ICA) based on the information bottleneck (IB). In the viewpoint of information theory, we attempt to explain the two classical algorithms of ICA by information bottleneck. Furthermore, via the numerical experiments with the synthetic data, sonic data, and image, ICA is proved to be an edificatory way to solve BSS successfully relying on the information theory. Finally, two realistic numerical experiments are conducted via FastICA in order to illustrate the efficiency and practicality of the algorithm as well as the drawbacks in the process of the recovery images the mixing images. © 2015 Qiao Ke et al.

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A Parking Guidance Method Based on Parallel Particle Swarm Optimization Algorithm

A Parking Guidance Method Based on Parallel Particle Swarm O...

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International Conference on Computational Intelligence and security

作者： Bin Wang Ying Liu Xinhong Hei Lei Wang Zhiqiang Zhang Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an University of Technology Xi'an China School of Computer Science and Engineering Xi'an University of Technology Xi'an China

ISBN: (纸本)9781479974351

Aiming at the problem of intelligent path guidance in the parking lot, an improved Particle Swarm Optimization Algorithm(PSO) is proposed in this paper to find the optimal path. In order to overcome the shortcomings that standard PSO traps into local optima easily and improve the convergence speed of algorithm, the concept of GA and Multi-thread technology are introduced. The experiment results show that the proposed parallel hybrid PSO algorithm(PHPSO) is relatively steady with faster convergent rate. Especially for multi-nodes, the efficiency is improved obviously. So the proposed PHPSO is well suited for large parking lot.

关键词： Sociology Statistics Particle swarm optimization Algorithm design and analysis Heuristic algorithms Convergence Vehicles

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Modeling for user interaction by influence transfer effect in online social networks

Modeling for user interaction by influence transfer effect i...

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Conference on Local Computer networks (LCN)

作者： Qindong Sun Nan Wang Yadong Zhou Hanqin Wang Liansheng Sui Shaanxi Key Laboratory of Network Computing and Security Xi'an University of Technology Xi'an China MOE KLINNS Lab Xi'an Jiaotong University Xi'an China

User interaction is one of the most important features of online social networks, and is the basis of research of user behavior analysis, information spreading model, etc. However, existing approaches focus on the interactions between adjacent nodes, which do not fully take the interactions and relationship between local region users into consideration as well as the details of interaction process. In this paper, we find that there exists influence transfer effect in the process of user interactions, and present a regional user interaction model to analyze and understand interactions between users in a local region by influence transfer effect. Based on real data from Sina Weibo, we validate the effectiveness of our model by the experiments of user type classification, influential user identification and zombie user identification in online social networks. The experimental results show that our model present better performance than the PageRank based method and machine learning method.

关键词： Analytical models Twitter Data models Laboratories Educational institutions Learning systems

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Energy saving model and simulation test based on 6LoWPAN wireless sensor network

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Open Automation and Control Systems Journal 2014年第1期6卷 1349-1358页

作者： Zhang, Yunyi Li, Yong Zhang, Ran Wei, Wei College of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China School of Computer Science and Engineering Shaanxi Key Laboratory for Network Computing and Security Technology Xi’an University of Technology Xi’an China

This paper designs the mathematical model of fiber line power, optimization of wireless sensor network node and multi distributed IP, and uses C language to program the model, finally get a new energy-saving mechanism model of wireless sensor network. Combined with the distributed IPv6 technology and IEEE802.15.4 protocol, this paper designs a new 6LoWPAN wireless sensor network energy-saving mechanism, which realizes the seamless splicing energy-saving effect between wireless sensor network and the internet, and based on this develops Contiki integrated environment of wireless sensor network energy-saving test. Finally this paper uses Firefox browser with B/S architecture to test energysaving mechanism. Through the test we found that between two nodes of wireless sensor network, they can effectively realize sending and receiving of UDP data, and through IPv6 gateway it can connect with internet, and complete collection and transmission of data. Through the simulation calculation of power consumption, in accepting, transmission and idle periods, the wireless sensor network can save energy effectively, which reduces the splicing cost of internet and wireless sensor network. It provides the technical reference for the design of wireless sensor network. © Zhang et al.

关键词： Sensor nodes

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Parallelization Using Task Parallel Library with Task-Based Programming Model

Parallelization Using Task Parallel Library with Task-Based ...

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2014 IEEE 5th International Conference on Software Engineering and Service Science

作者： Xinhong Hei Jinlong Zhang Bin Wang Haiyan Jin Nasser Giacaman Department of Electrical and Computer Engineering The University of Auckland Auckland New Zealand School of Computer Science and Engineering Xi’an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology

In order to reduce the complexity of traditional multithreaded parallel programming,this paper explores a new task-based parallel programming using the *** Task Parallel Library（TPL）.Firstly,this paper proposes a custom data partitioning optimization method to achieve an efficient data parallelism,and applies it to the matrix *** result of the application supports the custom data partitioning optimization *** we develop a task parallel application:Image Blender,and this application explains the efficiency and pitfall aspects associated with task ***,the paper analyzes the performance of our *** results show that TPL can dramatically alleviate programmer burden and boost the performance of programs with its taskbased parallel programming mechanism.

关键词： Parallel programming Task-based TPL Data parallelism Task parallelism

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Parallelization using task parallel library with task-based programming model

Parallelization using task parallel library with task-based ...

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IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Xinhong Hei Jinlong Zhang Bin Wang Haiyan Jin Nasser Giacaman School of Computer Science and Engineering Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an Shaanxi Province China Department of Electrical and Computer Engineering The University of Auckland Auckland New Zealand

ISBN: (纸本)9781479932801

In order to reduce the complexity of traditional multithreaded parallel programming, this paper explores a new task-based parallel programming using the Microsoft .NET Task Parallel Library (TPL). Firstly, this paper proposes a custom data partitioning optimization method to achieve an efficient data parallelism, and applies it to the matrix multiplication. The result of the application supports the custom data partitioning optimization method. Then we develop a task parallel application: Image Blender, and this application explains the efficiency and pitfall aspects associated with task parallelism. Finally, the paper analyzes the performance of our applications. Experiments results show that TPL can dramatically alleviate programmer burden and boost the performance of programs with its task-based parallel programming mechanism.

关键词： Parallel processing Parallel programming Instruction sets Computational modeling Data models Educational institutions

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