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International Symposium on Intelligent Signal Processing and Communication systems

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

In this paper, we investigate a MIMO relaying network with massive antennas for serving multi-pair single-antenna users, where zero-forcing (ZF) precoding is explored at the relay. Our aim is to maximize the energy efficiency (EE) by jointly optimizing the transmit power at the source-nodes and the relay, and the number of relay antennas. To solve the EE optimization problem, a lower bound of the involved spectral efficiency (SE) is derived with analytical expression. Since the original fractional optimization problem is non-convex, we transform the objective function into an equivalent parametric subtractive form by using the properties of fractional programming. Then, an iterative algorithm is developed relying on the partial convexity of the subtractive cost function, where the analytical solutions are deduced. Finally, the effectiveness and convergence behavior of our proposed scheme are verified through the numerical results.

关键词： Massive MIMO relay Zero-forcing precoding Energy-efficient

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Construction mechanism for service path over reconfigurable service-centric network

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Tongxin Xuebao/Journal on Communications 2016年 37卷 147-155页

作者： Zhao, dan Wen, Feng Xu, Xin Wang, Peng Chen, Bo China National Digital Switching System Engineering & Technological R&D Center Zhengzhou450002 China Jiangnan Institute of Computing Technology Wuxi214000 China

In order to enhance the flexible and intelligent network's service ability, a novel architecture called reconfigurable service-centric network (reSCNet) was proposed which decomposed traditional network capabilities and services into fine-grained network functional unit. Then based on service routing matrix algorithm to orchestrate and deploy atomic service flexibly, a service path was built which possess smaller cost, lower time delay, higher degree of load balance and higher reliability. Finally, the performance of service routing matrix algorithm was evaluated on the innovation experiment platform NetFPGA-10G. The simulation results show that the algorithm has a better performance and can customize an optimal service path for users while meet the specific functions and performance constraints. © 2016, Editorial Board of Journal on Communications. All right reserved.

关键词： reconfigurable architectures

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Image stitching with robust principal component analysis

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern recognition 2016年第12期9卷 251-260页

作者： Tao, Wei Yongxin, Zhang Yating, Yuan Xinsheng, Ji National Digital Switching System Engineering and Technological R and D Center ZhengzhouHenan451000 China Henan Institute of Engineering Computer College ZhengzhouHenan451000 China Luoyang Normal University LuoyangHenan471934 China School of Information Science and Technology Northwest University Xi’anShaanxi710127 China

An image stitching algorithm based on the robustness of principal component analysis (rPCA) is proposed in an effort to suppress the influence of noise in the image stitching quality. This algorithm represents high dimensional feature data by utilizing a lower dimensional linear subspace, and converts the image stitching problem into a principal component matrix matching problem. Through the use of a low rank matrix, the extraction of salient image characteristics is recovered and the noise interference is reduced during the enhancement process. Together, with the advantages of the rPCA algorithm, the algorithm improves the PSNr of the image while maintaining its strong matching ability. Experimental results show that the proposed scheme is able to significantly inhibit the noise and improve the stitching quality in comparison to the other existing stitching methods. © 2016 SErSC.

关键词： Principal component analysis

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An approach to classify visual semantic based on visual encoding with the convolutional neural network

An approach to classify visual semantic based on visual enco...

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International Conference on Fuzzy systems and Knowledge discovery (FSKd)

作者： Zaizhou Zheng Haibing Bu Wenjie He Li Tong Bin Yan Linyuan Wang National Digital Switching System Engineering & Technology R&D Center Zhengzhou China

ISBN: (纸本)9781467376839

Visual encoding models and visual decoding models are all used for revealing the relationship of external visual stimuli and brain activities. On the view of the goal, visual encoding and decoding are opposite, but they are also complementary. With further researching, we could not use a simple decoding model to excavate more complex information. The combination of visual encoding model and decoding model is becoming a trend of visual research. This paper has built a visual encoding model based on a convolutional neural network and has proposed an approach to select features based on the visual encoding model. The results show that our predicted voxels are similar to the selected real voxels, the correlation coefficients of them are pretty high. On the other hand, the classification results are better than those of t-value method and principal feature analysis (PFA) method. Our approach provides a reference to the combination of visual encoding and decoding models.

关键词： Visualization Encoding Semantics Correlation coefficient Biological neural networks Brain models

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Parametric Hierarchical Mesh Interconnected Structure for Network-on-Chip

Parametric Hierarchical Mesh Interconnected Structure for Ne...

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2015 6th IEEE International Conference on Software engineering and Service Science(ICSESS 2015)

作者： Yuhan Zhou Gang Jian Guodong Han National Digital Switching System Engineering & Technological R&D Center

With the integration of cores increasing, the on-chipnetwork(NoC) latency and the throughput are getting worse in traditional structures. This paper proposed a novel parameterbased on the hierarchical mesh interconnected NoC(PHMNoC) to improve the integration and performance. We use structural parameters and cross-layer threshold parameter to achieve scalability for different system size and balance traffic load among layers respectively. Experimental results demonstrated that PHMNoC had lower latency and higher throughput than conventional 2d mesh and hierarchical NoC such as Concentrated-Mesh and Cluster-Hierarchical-Mesh in different size systems, while the increasement of resources overhead was modest.

关键词： Network-on-Chip Parameterized design Hierarchical interconnection Clustered structure Traffic pattern

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Prior Artifact Information based Automatic Artifact removal from EEG data

Prior Artifact Information based Automatic Artifact Removal ...

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International IEEE/EMBS Conference on Neural engineering

作者： Chi Zhang Hai-Bing Bu Ying Zeng Jing-Fang Jiang Bin Yan Jian-Xin Li China National Digital Switching System Engineering and Technological R&D Center

ISBN: (纸本)9781467363877

Electroencephalogram (EEG) is susceptible to various non-neural physiological artifacts. Automatic artifact removal from EEG remains a great challenge for extracting relevant information from brain activities. In order to adapt to variable subjects and EEG acquisition environments, this paper presents a novel automatic artifact removal method based on prior artifact information. First, the wavelet-ICA algorithm, which combines of discrete wavelet transform (dWT) and independent component analysis (ICA), is utilized to separate artifact components. Then the artifact components are automatically identified using the prior artifact information, which is acquired in advance. Subsequently, signal reconstruction is performed without the identified artifact components to obtain the artifact free signals. At last, the method is validated by the improvements of the classification accuracies in a motor imagery experiment.

关键词： Electroencephalography Electromyography Electrooculography Correlation Accuracy discrete wavelet transforms Support vector machines

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A second update on mapping the human genetic architecture of COVId-19

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Nature 2023年第7977期621卷 E7-E26页

作者： Masahiro Kanai Christine Stevens Benjamin M. Neale Mark daly Andrea Ganna Amy Trankiem Mary K. Balaconis Samuli ripatti Lindo Nkambul Mark J. daly Sam Bryant Matthew Solomonson Shea J. Andrews Mattia Cordioli Juha Karjalainen Juha Mehtonen Matti Pirinen Andrea Corbetta Bradley Jermy Kati donner Katja Kivinen Aarno Palotie Mari Kaunisto Kumar Veerapen Konrad J. Karczewski Alicia r. Martin Elizabeth G. Atkinson Kristin Tsuo Nikolas Baya rahul Gupta raymond K. Walters duncan S. Palmer Gopal Sarma Nathan Cheng Wenhan Lu Claire Churchhouse Jacqueline I. Goldstein daniel King Wei Zhou Cotton Seed Hilary Finucane F. Kyle Satterstrom Gita A. Pathak Akiko Iwasaki Karolina Chwialkowska Karolina Chwiałkowska Brooke N. Wolford Hajar Fauzan Ahmad Shea Andrews Kathrin Aprile von Hohenstaufen Puoti Palwende r. Boua Guillaume Butler-Laporte Celia M. T. Greenwood Bartha M. Knoppers Mark Lathrop Carmen L. Cadilla Francesca Colombo Nicole dueker Chloe Kirk Atanu Kumar dutta Yasser M. El-Sherbiny Jehan J. El-Jawhari doaa Shahin Ahmed Elzeiny Tamer A. Mansour Madonna M. Eltoukhy Attia A. S. Mohamed Sahar Esmaeeli Annika Faucon Israel Fernández Cadenas Israel Fernandez-Cadenas Laia Llucià-Carol Natalia Cullell Elena Muiño Jara Cárcel-Márquez Margherita Francescatto Laurent Francioli Lindokuhle Nkambule Jatin Arora Soumya raychaudhuri Caroline Cusick Lude Franke Macarena Fuentes Macarena Fuentes-Guajardo david Gómez Cabrero Emi N. Harry Philip Jansen József L. Szentpéteri réka Várnai Elżbieta Kaja Athanasios Kousathanas dorote Pasko Mark J. Caulfield Alex Stuckey Christopher A. Odhams Susan Walker daniel rhodes richard H. Scott Loukas Moutsianas Afshan Siddiq Peter Goddard Sally donovan Tala Zainy Fiona Maleady-Crowe Linda Todd Shahla Salehi Greg Elgar Georgia Chan Prabhu Arumugam Christine Patch Augusto rendon Tom A. Fowler Jose E. Krieger Sanjay K. Patel Audrey Lemaçon Sophie Limou Pietro Lió Eirini Marouli Charles Hinds Minttu M. Marttila Carolina Medina-Gómez Isabelle Migeotte Soumyajit Mondal Andrés Moreno-Estrada Leire Moya Tomok Broad Institute of MIT and Harvard Cambridge MA USA Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Program in Bioinformatics and Integrative Genomics Harvard Medical School Boston MA USA Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland Institute for Molecular Medicine Finland University of Helsinki Helsinki Finland Institute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland Public Health Faculty of Medicine University of Helsinki Helsinki Finland Analytic & Translational Genetics Unit Massachusetts General Hospital Boston MA USA Stanley Center for Psychiatric Research & Program in Medical and Population Genetics Cambridge UK Institute for Molecular Medicine Finland (FIMM) Univerisity of Helsinki Helsinki Finland University of California San Francisco San Francisco CA USA Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Program in Biological and Biomedical Sciences Harvard Medical School Boston MA USA Department of Psychiatry School of Medicine Yale University New Haven CT USA Veteran Affairs Connecticut Healthcare System West Haven CT USA Yale University New Haven CT USA Centre for Bioinformatics and Data Analysis Medical University of Bialystok Bialystok Poland Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA Faculty of Industrial Sciences and Technology Universiti Malaysia Pahang Pahang Malaysia Icahn School of Medicine at Mount Sinai New York NY USA Genolier Innovation Network and Hub Swiss Medical Network Genolier Healthcare Campus Genolier Switzerland Immediate Independent Multidisciplinary Med & Biotech Research Association Milan Italy Clinical Research Unit of Nanor

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Parametric hierarchical mesh interconnected structure for Network-on-Chip

Parametric hierarchical mesh interconnected structure for Ne...

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

作者： Yuhan Zhou Gang Jian Guodong Han National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (纸本)9781479983544

With the integration of cores increasing, the on-chip-network (NoC) latency and the throughput are getting worse in traditional structures. This paper proposed a novel parameter-based on the hierarchical mesh interconnected NoC (PHMNoC) to improve the integration and performance. We use structural parameters and cross-layer threshold parameter to achieve scalability for different system size and balance traffic load among layers respectively. Experimental results demonstrated that PHMNoC had lower latency and higher throughput than conventional 2d mesh and hierarchical NoC such as Concentrated-Mesh and Cluster-Hierarchical-Mesh in different size systems, while the increasement of resources overhead was modest.

关键词： Topology Throughput Network topology Telecommunication traffic Traffic control Complexity theory routing

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A feature-adjusted naïve Bayes agorithm

A feature-adjusted naïve Bayes agorithm

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International Conference on Computer Science and Network technology (ICCSNT)

作者： Shi-Ze Kang Hong Ma rui-Yang Huang National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

Sentiment classification has been an important issue in natural language processing in recent years. In order to solve the distribution difference problem in cross-domain sentiment classification, we propose a featured-adjusted EM-based naïve Bayes algorithm which combines feature adaption and instance adaption simultaneously, and this algorithm can adjust the parameters in EM algorithm by the results of the feature adaption. The experimental results show that the proposed algorithm can improve the accuracy of cross-domain sentiment classification to some extent compared with the baseline algorithm.

关键词： Classification algorithms Motion pictures Bipartite graph Training Computers Mutual information Footwear

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dHA: distributed decisions on the switch migration toward a scalable SdN control plane

DHA: Distributed decisions on the switch migration toward a ...

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IFIP Networking Conference

作者： Guozhen Cheng Hongchang Chen Zhiming Wang Shuqiao Chen National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (纸本)9781479983698

distributed control plane is a promising approach to a scalable software-defined networking (SdN). However, traffic changes could incur load imbalance among individual controllers. Live migration of switches from controllers that are overloaded to those that are underutilized may be a solution to handle peak switch traffic using available control resource. Such migration has to be performed with a well-defined mechanism to fully utilize the available resource of controllers. In this paper, we study a scalable control mechanism to decide which switch and where it should be migrated for a balanced control plane, and we define it as switch migration problem (SMP). The main contributions of this paper are as follows. First, we define a SdN model to describe the relation between the controllers and switches from the view of loads. Based on this model, we formulate SMP as a network utility maximization (NUM) problem with the objective of serving more requests under the available control resource. Second, we design a synthesizing distributed algorithm for SMP - distributed hopping algorithm (dHA), by approximating our optimal objective via Log-Sum-Exp function. In such dHA, individual controller performs algorithmic procedure independently. With the solution space F, we prove that the optimal gap caused by approximation is bounded by 1/β log|F|, and the dHA procedure is equal to an implementation of a time-reversible Markov chain process. Finally, the results are corroborated by several numerical simulations.

关键词： Switches Algorithm design and analysis Approximation methods Markov processes Load modeling Approximation algorithms

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