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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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An image reconstruction strategy for truncated projections of planar object in cone-beam CT

An image reconstruction strategy for truncated projections o...

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International Conference on Fuzzy systems and Knowledge discovery (FSKd)

作者： Feng Zhang Bin Yan Lei Li Xiaoqi Xi Hua Jiang Siyu Chen Jinxian Cui dan Cong Ying Tian National Digital Switching System Engineering &Technology R&D Center Zhengzhou China Troop Shenyang China Urumqi Ethnic Cadres' College Urumqi China

ISBN: (纸本)9781467376839

In the field of cone-beam computed tomography (CT), truncation artifacts caused by projection truncation will decrease the quality of reconstruction image. For planar object with large area to thickness ratio, projections are truncated at some views but not all views. reconstruction of planar object is a special problem and rarely discussed ever before. In this paper, an image reconstruction strategy based on back-projection filtration (BPF) algorithm and projection onto convex set (POCS) method for truncated projections of planar object is developed. By considering the relationship between thickness of planar object and scan orbit radius, two cases are discussed in the strategy. In the first case, PI-lines parallel to the thickness direction which are non-truncated are selected and reconstructed using the BPF algorithm. In the second case, PI-lines parallel the thickness direction with no truncations are selected and reconstructed by use of BPF method firstly. And then, with the reconstructed result as a priori knowledge in the first reconstruction, PI-lines parallel to the width direction are selected and reconstructed by use of the POCS method. The proposed strategy is validated by simulations and real experiments. results show that reconstruction image quality of our method is superior to that of the conventional FdK algorithm.

关键词： Image reconstruction Computed tomography Band-pass filters Image quality Printed circuits data models detectors

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Sub-channel shared resource allocation for multi-user distributed MIMO-OFdM systems

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Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第11期15卷 1048-1057页

作者： Na-e ZHENG You ZHOU Han-ying HU Sheng WANG Zhengzhou Information Science and Technology Institute National Digital Switching System Engineering & Technological Research Center

Well-controlled resource allocation is crucial for promoting the performance of multiple input multiple output orthogonal frequency division multiplexing(MIMO-OFdM) systems. recent studies have focused primarily on traditional centralized systems or distributed antenna systems(dASs), and usually assumed that one sub-carrier or sub-channel is exclusively occupied by one user. To promote system performance, we propose a sub-channel shared resource allocation algorithm for multiuser distributed MIMO-OFdM systems. Each sub-channel can be shared by multiple users in the algorithm, which is different from previous algorithms. The algorithm assumes that each user communicates with only two best ports in the system. On each sub-carrier, it allocates a sub-channel in descending order, which means one sub-channel that can minimize signal to leakage plus noise ratio(SLNr) loss is deleted until the number of remaining sub-channels is equal to that of receiving antennas. If there are still sub-channels after all users are processed, these sub-channels will be allocated to users who can maximize the SLNr gain. Simulations show that compared to other algorithms, our proposed algorithm has better capacity performance and enables the system to provide service to more users under the same capacity constraints.

关键词： MIMO-OFdM Multi-user resource allocation Sub-channel shared Signal to leakage plus noise ratio(SLNr)

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Energy efficiency analysis of energy harvesting relay-aided cooperative networks

Energy efficiency analysis of energy harvesting relay-aided ...

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International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

作者： Zhiwei Zhang Yunzhou Li Kaizhi Huang Chen Liang China National Digital Switching System Engineering and Technological R&D Center State Key Laboratory on Microwave and Digital Communications Tsinghua National Laboratory for Information Science and Technology Beijing China Department of Electronic Engineering Tsinghua University

ISBN: (纸本)9781467366823

Cooperative relaying is a promising technology which can improve the energy efficiency of cellular networks. However, the relays' static power consumption may cancel out the energy saved by the deployed relays. Energy harvesting (EH) technique is introduced for relay nodes in cellular networks in order to deploy flexibility and reduce the energy charge. due to the EH property, relay nodes cannot maintain a stable energy flow and keep active with a certain probability, which would degrade the benefit from relay-aided cooperative transmission. In this paper, an analytical model is proposed to investigate the energy efficiency of cellular networks aided by EH relay nodes. Meanwhile, the closed-form expressions of coverage probabilities and mean achievable rates for different links are derived. Numerical results show that EH relays bring more improvement on energy efficiency compared with non-EH relayed transmission. The influence of the density and transmit power of stations is also given through numerical simulation.

关键词： relays Energy efficiency Power demand Interference Signal to noise ratio Energy harvesting Batteries

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On stochastic geometry modeling of WLAN capacity with dynamic sensitive control

On stochastic geometry modeling of WLAN capacity with dynami...

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International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

ISBN: (纸本)9781467366823

recently, wireless local area networks (WLANs) have become ubiquitous. In high density WLANs, interference resulting from neighbor cells is a challenging problem which would affect the network performance. To get higher throughput, it is important to improve spatial reuse of the channels. Since transmit power control (TPC) may cause asymmetric links unless carefully designed, we demonstrate that dynamic sensitive control (dSC) can be used to improve capacity in dense environment. In order to reduce the influence of inter-cell interference and achieve fairness, an adaptive dSC scheme is proposed to provide the edge users with higher clear channel assessment (CCA) threshold. The CCA adaptation strategy for access point (AP) is presented as well, and a stochastic geometry model is introduced in this paper. Coverage probability and average throughput derived based on the analytical model are used to measure the network performance. Furthermore, simulations show that the proposed dSC method can provide considerable performance improvement compared with the existing methods.

关键词： Interference Throughput Signal to noise ratio receivers Wireless networks downlink radio transmitters

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Joint Power and rate Adaptation aided Network-Coded PSK for Two-way relaying over Fading Channels

Joint Power and Rate Adaptation aided Network-Coded PSK for ...

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IEEE International Conference on Communications

作者： Yanping Yang Wei Chen Ou Li Ke Ke Lajos Hanzo National Digital Switching System Engineering and Technological R&D Center Department of Electronic Engineering Tsinghua University School of Electronics and Computer Science University of Southampton

ISBN: (纸本)9781467364300

Advanced downlink (dL) decode-and-forward two-way relaying (dF-TWr) is developed for the sake of maximizing the attainable spectral efficiency. Network-coded phase-shift keying (NC-PSK) holds the potential of significantly increasing the data rate of the network, while adaptive modulation is a powerful technique of improving both the energy and spectral efficiency. Hence power-controlled adaptive NC-PSK has the potential of achieving performance enhancements over fading channels. Given this framework, based on the bit-error-ratio (BEr) bounds developed, we derive the closed-form spectral efficiency for a continuous-rate, continuous-power adaptive NC-PSK scheme, where both the transmit power and the transmit rate are optimized subject to specific power- and BEr- constraints. We then conceive and investigate a discrete-rate scheme relying on a pair of solutions proposed for maximizing the throughput of the network. Our simulation results reveal that the proposed schemes are capable of achieving a higher spectral efficiency than their fixed-power counterparts.

关键词： Fading Bit error rate Optimization Modulation receivers Bandwidth Signal to noise ratio

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A Novel Steganalysis Framework of Heterogeneous Images Based on GMM Clustering

A Novel Steganalysis Framework of Heterogeneous Images Based...

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第13届全国博士生学术年会——物联网专题

作者： Xiaodan Hou Tao Zhang Gang Xiong Zhibo Lu Kai Xie Zhengzhou Information Science and Technology Institute Zhengzhou 450002 Henan China National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 Henan C

The current steganalysis frameworks involve a large number of techniques for feature extraction and ***, one of their common defects is treating all images as equal, thus ignoring the variability of statistical properties of different images, which motivates us to propose a novel steganalysis framework based on Gaussian mixture model (GMM) clustering in the study, targeting at heterogeneous images with different texture *** are two main improvements compared to the current steganalysis ***, in the training stage, the GMM clustering algorithm is exploited to classify the training samples into limited categories automatically, and then design corresponding steganalyzers for each category;second, in the testing stage, the posterior probability of testing samples belonging to each category is calculated, and the samples are submitted to the steganalyzers corresponding to the maximum posterior probability for *** experimental results aiming at least significant bit matching (LSBM) steganography and two adaptive steganography algorithms show that the proposed framework outperforms the steganalysis system that is directly trained on a mixed dataset, and also indicate that our framework exhibits better detection performance compared to the representative framework for using image contents in most circumstances and similar detection performance in few cases.

关键词： steganalysis steganography clustering Gaussian mixture model texture complexity

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WIdELY LINEAr rLS CONSTANT MOdULUS ALGOrITHM FOr COMPLEX-VALUEd NONCIrCULAr SIGNALS

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Journal of Electronics(China) 2014年第5期31卷 416-426页

作者： Zhang Ting Wang Bin Liu Shigang National Digital Switching System Engineering and Technological R&D Center

Based on the constant modulus criterion, a new Widely Linear(WL) blind equalizer and a novel widely linear recursive least square constant modulus algorithm are proposed to improve the blind equalization performance for complex-valued noncircular signals. The new algorithm takes advantage of the WL filtering theory by taking full use of second-order statistical information of the complex-valued noncircular signals. Therefore, the weight vector contains the complete second-order information of the real and imaginary parts to decrease the residual inter-symbol interference effectively. Theoretical analysis and simulation results show that the proposed scheme can significantly improve the equalization performance for complex-valued noncircular signals compared with traditional blind equalization algorithms.

关键词： Complex-valued noncircular signals Blind equalization Widely Linear(WL) filtering Constant modulus

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Spectral segmentation based on the weighted histogram

Spectral segmentation based on the weighted histogram

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2013 International Conference on Future Computer and Information technology, ICFCIT 2013

作者： Zeng, Lei Chen, Jian Tong, Li Yan, Bin Ping, Xijian National Digital Switching System Engineering and Technology R and D Center Zhengzhou China

ISBN: (纸本)9781845648510

Spectral segmentation algorithms can extract the global impression of an image and be widely used in many areas and applications related to image segmentation. Traditional spectral algorithms need to construct an affinity matrix based on all the pixels in the image and compute the eigenvectors of the matrix to find global optimum segmentation. With the growing of image size, the spatial and computational complexity increases egregiously. We propose a novel approach for solving the problem. rather than focusing on pixels in the image, our approach aims at the gray histogram extracting the global impression of an image. We construct an affinity matrix directly based on the gray histogram and weight matrix with a histogram coefficient of corresponding gray level. Our method decreases the affinity matrix dimension to 256 × 256 at most for the gray image, and thus decreases the complexity sharply. The spatial and computational complexity is insensitive to the image size. We have used the proposed method to segment text and PCB images, and found the segmentation results to be very encouraging. © 2014 WIT Press.

关键词： Computational complexity

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center surround feature detection of volumetric data

Center surround feature detection of volumetric data

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2013 International Conference on Future Computer and Information technology, ICFCIT 2013

作者： Cui, Mingming Chen, Jian Yan, Bin Zeng, Lei Tong, Li National Digital Switching System Engineering and Technology R and D Center Zhengzhou China

ISBN: (纸本)9781845648510

The process of feature point detection is the first stage of many computer vision applications including object detection, recognition and reconstruction. Aimed at the drawbacks (e.g. inefficiency and poor rotation invariance) of some classical detectors for volumetric data, we present a new scale-invariant center surround feature detector. Combining a 3d center surround feature point detector and the use of an integral image will accelerate the building of the scale space. Meantime, we also use Harris criterion to perform line suppression to enhance the stability of feature point detection. The experimental results indicate that our new detectors make the balance between computational efficiency and repetition rate. © 2014 WIT Press.

关键词： Computational efficiency

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