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arXiv 2019年

作者： Wang, Yu Zhou, Quan Liu, Jia Xiong, Jian Gao, Guangwei Wu, Xiaofu Latecki, Longin Jan National Engineering Research Center of Communications and Networking Nanjing University of Posts & Telecommunications China Key Lab. of Broadband Wireless Communications and Sensor Network Technology Nanjing University of Posts & Telecommunications China Institute of Advanced Technology Nanjing University of Posts & Telecommunications China Department of Computer and Information Sciences Temple University Philadelphia United States

The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this problem, namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic segmentation. More specifically, the encoder adopts a ResNet as backbone network, where two new operations, channel split and shuffle, are utilized in each residual block to greatly reduce computation cost while maintaining higher segmentation accuracy. On the other hand, an attention pyramid network (APN) is employed in the decoder to further lighten the entire network complexity. Our model has less than 1M parameters, and is able to run at over 71 FPS in a single GTX 1080Ti GPU. The comprehensive experiments demonstrate that our approach achieves state-of-the-art results in terms of speed and accuracy trade-off on CityScapes dataset. Copyright © 2019, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Design of ACM system based on non-greedy punctured LDPC codes

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AIP Conference Proceedings 2017年第1期1864卷

作者： Zijun Lu Zihong Jiang Lin Zhou Yucheng He 1Xiamen Key Laboratory of Mobile Multimedia Communications College of Information Science and Engineering Huaqiao University Xiamen 361021 China 2The State Key Lab. of ISN Xidian University Xi’an 710071 China

In this paper, an adaptive coded modulation (ACM) scheme based on rate-compatible LDPC (RC-LDPC) codes was designed. The RC-LDPC codes were constructed by a non-greedy puncturing method which showed good performance in high code rate region. Moreover, the incremental redundancy scheme of LDPC-based ACM system over AWGN channel was proposed. By this scheme, code rates vary from 2/3 to 5/6 and the complication of the ACM system is lowered. Simulations show that more and more obvious coding gain can be obtained by the proposed ACM system with higher throughput.

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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A Distributed Localization Algorithm Based on Random Diffusion in WSN

A Distributed Localization Algorithm Based on Random Diffusi...

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IEEE International Conference on Trust, Security and Privacy in Computing and communications (TrustCom)

作者： Qiong Wu Pingping Xu Suheng Zhang Hongyun Chu Department of Computer Science and Technology (The 3rd Department) Su Qian College Su Qian China Jiangsu Provincial Key Lab. of Sensor Network Technology Southeast University Wuxi China School of Electrical Engineering and Telecommunications UNSW Sydney Australia National Mobile Communications Research Lab. Southeast University Nanjing China

ISBN: (纸本)9781479914449

In many applications of Wireless Sensor networks, it is crucial to know the location of sensor nodes. The distribution of the sensor nodes in many scenes is not uniform. However, it is impossible to equip all nodes with GPS receivers or configure the location for each node manually. Thus many localization methods have been proposed, such as the classical multi-dimensional scaling(MDS) localization algorithm. However, it has a low accuracy in large scale of sensor network with a lot of nodes. Thus, a random diffusion distributed localization algorithm is proposed in this paper. Results of simulations show that all the nodes can find their positions in 15 rounds when the network has 200 nodes in a square network. The localization algorithm has less running time, and provides a lower complexity than the classical MDS algorithm. The precision of this localization technique is restricted by the number of anchor nodes, communication radius of sensor node and the connectivity of network.

关键词： Wireless sensor networks Clustering algorithms Educational institutions Accuracy Electronic mail Merging Global Positioning System

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Efficient network coding transmission in 2-hop multi-channel cognitive radio networks

Efficient network coding transmission in 2-hop multi-channel...

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2012 International Symposium on communications and Information Technologies, ISCIT 2012

作者： Zheng, Changliang Dutkiewicz, Eryk Liu, Ren Ping Vesilo, Rein Zhou, Zheng Department of Electronic Engineering Macquarie University Sydney NSW Australia Key Lab. of Universal Wireless Communications Wireless Network Lab. Beijing University of Posts and Telecommunications China CSIRO ICT Centre Sydney NSW Australia

ISBN: (纸本)9781467311571

In cognitive radio networks (CRNs), there is no guarantee on the availab.lity of spectrum for the opportunistic communications between cognitive radio (CR) users. Transmission design plays a key role in leveraging the benefits of CRNs. In this paper, we propose an efficient batch transmission scheme for the data transmission in multi-channel CRNs with practical lossy channels. The proposed scheme exploits the dynamic spectrum opportunities by combining opportunistic routing strategy with network coding based multi-channel transmission. We derive network performance measures of the scheme in terms of batch delay, which provide better insights into the data transmission capability than packet based link delay analysis. Our analyses, validated by simulations, show that the proposed scheme significantly outperforms others, reducing batch delay by up to 60%. © 2012 IEEE.

关键词： network coding

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A novel frequency drift tracking algorithm based on Kalman filter in 60GHz mm-WaveSystem

A novel frequency drift tracking algorithm based on Kalman f...

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2012 International Conference on communications, Signal Processing, and Systems, CSPS 2012

作者： Ma, Jingya Zhao, Chenglin Li, Bin Liu, Yun Li, Zhou Beijing University of Posts and Telecommunications Beijing China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China Key Lab. of Universal Wireless Communications MOE Wireless Network Lab. Beijing University of Posts and Telecommunications Beijing 100876 China Beijing 100088 China

ISBN: (纸本)9781461458029

In order to study and solve the frequency drift problem in 60 GHz wireless communication system, a new data auxiliary frequency synchronization and tracking algorithm is proposed in this article, which is on the base of Chu sequence as training pilots, utilizing the time feature of frequency variation to estimate frequency offset by Kalman filter. It not only promotes the OFDM system synchronization performance, but also reduces the length of pilots and extends pilots interval to promote signal transfer efficiency. The simulation results prove its feasibility and validity. © 2012 Springer Science+Business.

关键词： Kalman filters

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Nonlinear estimation for ultra-wideband radar based on Bayesian particle filtering detector

Nonlinear estimation for ultra-wideband radar based on Bayes...

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2012 International Conference on communications, Signal Processing, and Systems, CSPS 2012

作者： Sun, Mengwei Li, Bin Zhao, Chenglin Liu, Yun Li, Zhou Key Lab. of Universal Wireless Communications MOE Wireless Network Lab. Beijing University of Posts and Telecommunications Beijing 100876 China Key Laboratory of Universal Wireless Communications Ministry of Education University of Posts and Telecommunications Beijing 100876 China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China China Academy of Telecommunications Research CATR Ministry of Industry and Information Technology Telecommunication Metrology Center MIIT Beijing 100088 China China Academy of Telecommunications Research Beijing China

ISBN: (纸本)9781461458029

In order to combat the nonlinearity of the radio component in UWB radar systems, in this paper we present a promising blind estimation algorithm based on the particle filtering (PF). Based on the conception of Bayesian approximation and sequential importance sampling, this appealing Monte-Carlo method can deal with many complicated statistic estimation problems. In sharp contrast to the classical linear equalization problem, nevertheless, in this considered problem the PF based method may become valid due to the nonlinearity and the resulting non-analytic importance function. Thus, a novel PF framework based on the linearization technique is suggested, and we show in particular how to linearize the involved nonlinearity transform. The merit of this method is that it can deal with discrete time dynamic models that are typically nonlinear and non-Gaussian. Experimental simulations demonstrate the superior performance of the presented PF scheme, which may be properly applied to UWB radar systems. © 2012 Springer Science+Business.

关键词： Ultra-wideband (UWB)

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Multi-user cooperative communication based on linear network coding

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Journal of Computational Information Systems 2012年第2期8卷 801-807页

作者： Lv, Zheng Yu, Zhijun Liu, Haitao Key Lab. of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China Wuxi SensingNet Industrialization Research Institute Wuxi 214135 China Software Engineering Institute East China Normal University Shanghai 200063 China

Cooperative communication is one of the most efficient ways to improve reliability of wireless links. We introduce linear network coding into multi-user cooperative communication system, and propose a new cooperating protocol. In the first phase, each user in the cooperative communication system transmits its own data, because of broadcast nature of wireless channel, the other users can overhear this data;in forwarding phase, each cooperating user encodes all the data from the other users and its own data together by linear network coding, and forwards this coded packet. Theoretical analysis and simulation show that, compared to traditional protocol based on XOR-network-coding, our protocol can achieve higher diversity order and lower system outage probability. 1553-9105/Copyright © 2012 Binary Information Press.

关键词： network coding

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Opportunistic routing in multi-channel cognitive radio networks

Opportunistic routing in multi-channel cognitive radio netwo...

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11th International Symposium on communications and Information Technologies, ISCIT 2011

作者： Zheng, Changliang Dutkiewicz, Eryk Liu, Ren Ping Vesilo, Rein Fang, Gengfa Zhou, Zheng Key Lab. of Universal Wireless Communications Wireless Network Lab Beijing University of Posts and Telecommunications China Department of Electronic Engineering Macquarie University Sydney NSW Australia CSIRO ICT Centre Sydney NSW Australia

ISBN: (纸本)9781457712944

Cognitive radio (CR) is an exciting technology to improve spectrum utilization. However, spectrum availab.lity can change very fast due to primary user's activity, which makes most of existing CR routing protocols fail to work because they are designed for cognitive radio networks (CRNs) with slow variation of spectrum availab.lity. Opportunistic routing is a promising routing paradigm for CRNs with fast variation of spectrum availab.lity. We propose a multi-channel spectrum aware opportunistic routing (MSAOR) algorithm based on link delay analysis. By introducing channel access probability to characterize the opportunistic CR link, access delay is integrated into queuing delay. Our analysis shows that our algorithm achieves a lower link delay than the existing routing algorithm SAOR (spectrum aware opportunistic routing). Our simulation results also show that our MSAOR algorithm can reduce end-to-end delay by up to 50%, can increase the supported offered load by up to 190% and is more robust than SAOR. © 2011 IEEE.

关键词： Cognitive radio

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An energy optimization scheme based on rate guarantee in emergency mesh network

An energy optimization scheme based on rate guarantee in eme...

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2011 International Conference on Wireless communications and Signal Processing, WCSP 2011

作者： Zhao, Su Liang, Changqing Meng, Qingmin College of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China National Mobile Communications Research Lab. Southeast University Nanjing 210003 China

ISBN: (纸本)9781457710100

The wireless mesh network (WMN) is effective as emergency networks in disaster area which has a flexible network topology. The efficiency of the energy is particularly important in the emergency communication network. In this paper, we proposed an energy optimization scheme based on the framework of wireless mesh networks. This scheme ensures the data rate achieved under the condition of the original transmission power in the wireless mesh network, by reducing the mutual interference between nodes to make the transmission power of the nodes down, thus extends the lifespan of the emergency network effectively. A number of simulation results show that the proposed scheme can reduce the transmission power of nodes while ensuring the end-to-end data rates. © 2011 IEEE.

关键词： MESH networking

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