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On the use of density-based algorithms for the analysis of solute clustering in atom probe tomography data 18th

On the use of density-based algorithms for the analysis of s...

18th International Conference on Environmental degradation of Materials in Nuclear Power systems – Water reactors 2019

作者： Marquis, Emmanuelle A. Araullo-Peters, Vicente dong, Yan Etienne, Auriane Fedotova, Svetlana Fujii, Katsuhiko Fukuya, Koji Kuleshova, Evgenia Lopez, Anabelle London, Andrew Lozano-Perez, Sergio Nagai, Yasuyoshi Nishida, Kenji radiguet, Bertrand Schreiber, daniel Soneda, Naoki Thuvander, Mattias Toyama, Takeshi Sefta, Faiza Chou, Peter Department of Materials Science and Engineering University of Michigan Ann ArborMI48109 United States Groupe de Physique Des Matériaux UMR CNRS 6634 Université de Rouen Saint Etienne du Rouvray Cedex France Russian Research Center ‘Kurchatov Institute’ Pl. Kurtachova Moscow123 182 Russia Institute of Nuclear Safety System Inc. 64 Sata Mihama919-1205 Japan DEN-Service D’Etudes Des Matériaux Irradiés CEA Université Paris-Saclay Gif-Sur-YvetteF-91191 France Department of Materials University of Oxford Parks Road OxfordOX1 3PH United Kingdom The Oarai Center Institute for Materials Research Tohoku University OaraiIbaraki311-1313 Japan Materials Science Research Laboratory Central Research Institute of Electric Power Industry Nagasaka Japan Energy and Environment Directorate Pacific Northwest National Laboratory RichlandWA99352 United States Department of Physics Chalmers University of Technology GöteborgSE-412 96 Sweden Departement Métallurgie EDF—R&D Avenue Des Renardières—Ecuelles Moret-Sur-Loing77818 France Electric Power Research Institute Palo AltoCA94304 United States

ISBN: (纸本)9783319950211

Because atom probe tomography (APT) provides three-dimensional reconstructions of small volumes by resolving atomic chemical identities and positions, it is uniquely suited to analyze solute clustering phenomena in materials. A number of approaches have been developed to extract clustering information from the 3d reconstructed dataset, and numerous reports can be found applying these methods to a wide variety of materials questions. However, results from clustering analyses can differ significantly from one report to another, even when performed on similar microstructures, raising questions about the reliability of APT to quantitatively describe solute clustering. In addition, analysis details are often not provided, preventing independent confirmation of the results. With the number of APT research groups growing quickly, the APT community recognizes the need for educating new users about common methods and artefacts, and for developing analysis and data reporting protocols that address issues of reproducibility, errors, and variability. To this end, a round robin experiment was organized among ten different international institutions. The goal is to provide a consistent framework for the analysis of irradiated stainless steels using APT. Through the development of more reliable and reproducible data analysis and through communication, this project also aims to advance the understanding between irradiated microstructure and materials performance by providing more complete quantitative microstructural input for modeling. The results, methods, and findings of this round robin will also apply to other clustering phenomena studied using APT, beyond the theme of radiation damage. © 2019, The Minerals, Metals & Materials Society.

关键词： Cluster analysis

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Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-d consortium

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Journal of neuroengineering and rehabilitation 2024年第1期21卷 71页

作者： M Encarna Micó-Amigo Tecla Bonci Anisoara Paraschiv-Ionescu Martin Ullrich Cameron Kirk Abolfazl Soltani Arne Küderle Eran Gazit Francesca Salis Lisa Alcock Kamiar Aminian Clemens Becker Stefano Bertuletti Philip Brown Ellen Buckley Alma Cantu Anne-Elie Carsin Marco Caruso Brian Caulfield Andrea Cereatti Lorenzo Chiari Ilaria d'Ascanio Bjoern Eskofier Sara Fernstad Marcel Froehlich Judith Garcia-Aymerich Clint Hansen Jeffrey M Hausdorff Hugo Hiden Emily Hume Alison Keogh Felix Kluge Sarah Koch Walter Maetzler dimitrios Megaritis Arne Mueller Martijn Niessen Luca Palmerini Lars Schwickert Kirsty Scott Basil Sharrack Henrik Sillén david Singleton Beatrix Vereijken Ioannis Vogiatzis Alison J Yarnall Lynn rochester Claudia Mazzà Silvia del din Translational and Clinical Research Institute Faculty of Medical Sciences Newcastle University Newcastle Upon Tyne UK. Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine The University of Sheffield Sheffield UK. Laboratory of Movement Analysis and Measurement Ecole Polytechnique Federale de Lausanne Lausanne Switzerland. Machine Learning and Data Analytics Lab Department of Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen Nürnberg Erlangen Germany. Center for the Study of Movement Cognition and Mobility Neurological Institute Tel Aviv Sourasky Medical Center Tel Aviv Israel. Department of Biomedical Sciences University of Sassari Sassari Italy. Department of Electronics and Telecommunications Politecnico di Torino Turin Italy. National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC) Newcastle University and The Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle Upon Tyne UK. Robert Bosch Gesellschaft für Medizinische Forschung Stuttgart Germany. The Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle Upon Tyne UK. School of Computing Newcastle University Newcastle Upon Tyne UK. Barcelona Institute for Global Health (ISGlobal) Barcelona Spain. Universitat Pompeu Fabra Barcelona Catalonia Spain. CIBER Epidemiología y Salud Pública (CIBERESP) Madrid Spain. Insight Centre for Data Analytics University College Dublin Dublin Ireland. School of Public Health Physiotherapy and Sports Science University College Dublin Dublin Ireland. Department of Electrical Electronic and Information Engineering «Guglielmo Marconi» University of Bologna Bologna Italy. Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV) University of Bologna Bologna Italy. Grünenthal GmbH Aachen Germany. Department of Neurology University Medical Center Schleswig-Holstein Campus Kiel Kiel Germany. Sagol School of Neuroscien

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Principle of vector synthesis predistortion linearizers controlling AM/AM and AM/PM independently

Principle of vector synthesis predistortion linearizers cont...

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IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

作者： Wei-da Bai de-Wei Zhang Hai-Lin deng China National Digital Switching System Engineering and Technology R&D Center Zhengzhou China China National Digital Switching System Engineering and Technology R&D Center China

ISBN: (纸本)9781509013180

This paper using vector diagram illuminates the operation principle of vector synthesis predistortions and proves they can control amplitude modulation to amplitude modulation (AM/AM) and amplitude modulation to phase modulation (AM/PM) separately. A vector synthesis predistortion linearizer is designed to verify this thought and the results show the correctness of this thought.

关键词： Predistortion Attenuators Phase shifters Phase distortion Amplitude modulation Nonlinear distortion

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Fast parallel algorithm for three-dimensional distance-driven model in iterative computed tomography reconstruction

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Chinese Physics B 2015年第2期24卷 513-520页

作者：陈建林李磊王林元蔡爱龙席晓琦张瀚铭李建新闫镔 National Digital Switching System Engineering & Technological R&D Center

The projection matrix model is used to describe the physical relationship between reconstructed object and *** a model has a strong influence on projection and backprojection,two vital operations in iterative computed tomographic *** distance-driven model（ddM） is a state-of-the-art technology that simulates forward and back *** model has a low computational complexity and a relatively high spatial resolution;however,it includes only a few methods in a parallel operation with a matched model *** study introduces a fast and parallelizable algorithm to improve the traditional ddM for computing the parallel projection and backprojection *** proposed model has been implemented on a GPU（graphic processing unit） platform and has achieved satisfactory computational efficiency with no *** runtime for the projection and backprojection operations with our model is approximately 4.5 s and 10.5 s per loop,respectively,with an image size of 256×256×256 and 360 projections with a size of 512×*** compare several general algorithms that have been proposed for maximizing GPU efficiency by using the unmatched projection/backprojection models in a parallel *** imaging resolution is not sacrificed and remains accurate during computed tomographic reconstruction.

关键词： computed tomography iterative reconstruction parallelizable algorithm distance-driven model

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Analysis of Measured Sea clutter Power distribution based on Goodness-of-Fit Tests

Analysis of Measured Sea clutter Power Distribution based on...

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IEEE Asia-Pacific Conference on Antennas and Propagation

作者： Xiaoyan du Peipei Wei Guojun Tian Dept. of Information engineering Huanghe Science and Technology University Dept. of Communication National Digital Switching System Engineering & Technology R&D Center (NDSC)

ISBN: (纸本)9781538616093

recently, refractivity from clutter (rFC) is an important means to obtain spatial reflectivity distribution. As the input of rFC, radar sea clutter power seriously affects the inversion performance. For this problem, we study its distribution to get more priori information of inversion. Using this way, inversion accuracy could be improved. In this paper, seven kinds of power probability density function (PPdF) are presented. Based on these distribution models, The experimental data measured in Bohai Sea are analyzed. In addition, the goodness-of-fit tests are used to test the degree of fitness between the experimental data and the models. The results show that these radar sea clutter power data meet log-normal distribution or meet Weibull distribution.

关键词： Power probability density function (PPdF) Goodness-of-fit tests Log-normal distribution

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LOW-COMPLEXITY BEAMFOrMING dESIGNS OF SUM SECrECY rATE MAXIMIZATION FOr THE GAUSSIAN MISO MULTI-rECEIVEr WIrETAP CHANNEL

LOW-COMPLEXITY BEAMFORMING DESIGNS OF SUM SECRECY RATE MAXIM...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Yanqun Tang Caiyao Sheng Yunpeng Hu Hongyi Yu Xiaoyi Zhang National Digital Switching System Engineering & Technology R & D Center Zhengzhou China 450000

ISBN: (纸本)9781479999897

This paper studies the beamforming design for sum secrecy rate (SSr) maximization in the Gaussian multiple-input single-output multi-receiver wiretap channel (MISO-MrWC). The optimization problem of finding the optimal beamforming algorithm is non-convex and intractable to solve using low-complexity methods. Motivated by the thinking of zero-forcing (ZF) and signal-to-leakage-plus-noise ratio (SLNr), we propose three low-complexity beamforming algorithms for finding a local SSr optimum. The simulation results show that the SLNr-based beamforming algorithm outperforms the other two algorithms with ZF preprocessing.

关键词： Sum secrecy rate beamforming design low complexity ZF SLNr zero frequency multiple-input single-output Beamforming Gauss Non-Convex

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Energy efficiency resource allocation in downlink cell-free massive MIMO system

Energy efficiency resource allocation in downlink cell-free ...

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IEEE International Symposium on Intelligent Signal Processing and Communication systems (ISPACS)

作者： Ying Hu Fei Zhang Chunguo Li Yi Wang rui Zhao School of Information Science and Engineering Southeast University Nanjing China School of Electronics and Information Jiangsu University of Science and Technology Zhenjiang China School of Electronics and Communication Engineering Zhengzhou University of Aeronautics Zhengzhou China China National Digital Switching System Engineering &Technological R&D Center Zhengzhou China College of Information Science and Engineering Huaqiao University Xiamen China

In this paper, a downlink cell-free Massive MIMO system (CF-M-MIMO-S) is considered. The CF-M-MIMO-S is a distributed M-MIMO-S, where access points (APs) with very great quantity of antennas, and a much smaller number of independent users are distributed randomly. Firstly, an approximate expression for the capacity with perfect channel state information and conjugate beamforming scheme is derived. Secondly, an energy-efficient (EE) resource allocation strategy is advanced, which is aim to maximize system EE. Specifically, the power consumption include transmitting power, calculation power and circuit power. Simulation results indicate that the throughput of derived approximate expression is very close to theoretical value. It is also demonstrated The effectiveness of proposed algorithm and the trade-off between EE and the quantity of Aps is, meanwhile, the performance of throughput of the proposed algorithm is very well.

关键词： Signal processing Communication systems

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Entity disambiguation with markov logic network knowledge graphs

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International Journal of Performability engineering 2017年第8期13卷 1293-1303页

作者： Ma, Jiangtao Wei, Tao Qiao, Yaqiong Huang, Yongzhong Xie, Weibo Zhang, Chaoqin Wang, Yanjun Zhan, rui State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China Zhengzhou University of Light Industry Zhengzhou450002 China National Digital Switching System Engineering and Technological R and D Center Zhengzhou451000 China Henan Institute of Engineering Computer College Zhengzhou451000 China North China University of Water Resources and Electric Power Zhengzhou450002 China

disambiguating named entities is an important problem in natural language processing, knowledge base, question answering systems. In the paper, we propose a Markov logic network knowledge graph solution for solving entity resolution problem. First, we employ knowledge graph to represent the entity relationship between linked entities in the knowledge base. Then, we utilize MLN to inference the inconsistent relationship in the knowledge graph, and disambiguate the entities in the process of entity disambiguation. As far as we know, inferencing with MLN is a first attempt for entity disambiguation in the knowledge graph. We evaluate the proposed solution with three real world knowledge bases and compare it with four baseline solutions. The experimental results demonstrate that our solution is 7% higher than other baseline methods with F1 measure. We also test our scheme and compare entity resolution systems on four datasets with three knowledge base corpora. Extensive experiments show that our solution achieves higher precision and recall than baseline solutions. © 2017 Totem Publisher, Inc. All rights reserved.

关键词： Natural language processing systems

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Secure Power and Subcarrier Auction in Uplink Fullduplex Cellular Networks

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China Communications 2015年第S1期12卷 157-165页

作者： LI Mingliang GUO Yunfei HUANG Kaizhi GUO Fei National Digital Switching System Engineering & Technological R&D Center

We consider a cellular network with a full-duplex base station, multiple uplink users and an eavesdropper. The full-duplex base station transmits jamming signals to degrade the eavesdropper channel when receiving secure multi-user signals. To maximize the secrecy rate of uplink communications, we propose a distributed ascending-clock auction(ACA) algorithm to allocate subcarriers and jamming power. Specifically, the impact of the self-interference of the full-duplex base station on the secrecy rate is considered. The proposed algorithm consists of two parts. Firstly, subcarriers and the jamming power are respectively priced by the base station. Secondly, users select the subcarrier and the jamming power based on the price. Moreover, the convergence of the proposed auction algorithm is mathematically proved. Simulation results show that the proposed auction algorithm is more beneficial to improve the uplink secrecy performance compared to traditional auction algorithms.

关键词： uplink auction physical layer security full-duplex self-interference

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A Collaborative Filtering recommendation Algorithm Based On Conditional Entropy Trust Model

A Collaborative Filtering Recommendation Algorithm Based On ...

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2016 3rd International Conference on Materials engineering,Manufacturing technology and Control(ICMEMTC 2016)

作者： Yitao Wu Xingming Zhang Xiaofeng Qi Erning Xiao Liang Jin National Digital Switching System Engineering and Technological R&D Center

The traditional collaborative recommendation algorithm doesn't take the non-linear dependence between users into consider, which is not accurate enough in prediction. The collaborative filtering algorithm based on entropy can measure the nonlinear characteristics of users, but it can't reasonably describe the relationship between users and is subject to sparsity. To address this problem, conditional entropy trust model is proposed, which uses the conditional entropy to describe the non-linear dependence between users, and Laplace estimation is introduced to alleviate sparsity. A collaborative filtering algorithm based on the conditional entropy trust model(CECF) is designed. The experiments show that this algorithm doesn't increase the time complexity and significantly improve the degree of accuracy.

关键词： non-linear dependence conditional entropy similarity calculation collaborative filtering

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