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33rd European Conference and Exhibition of Optical communication

作者： Yongmin Qi Weisheng Hu Yi Dong Wen-De Zhong Xinyu Xu Hao He Yaohui Jin Wei Guo Weiqiang Sun Shilin Xiao Yikai Su State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University Shanghai 200240 China Network Technology Research Centre Nanyang Technological University Singapore 639798

By exploiting the symmetry of bidirectional wavelength-connections in WDM networks, we propose an NN bidirectional OXC using one N/2N/2 reversible optical switch to reduce the complexity of the OXCs. The feasibility i... 详细信息

关键词： Optical reflection Optical modulation Micromechanical devices

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Dependent multi-task learning with causal intervention for image captioning

arXiv

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arXiv 2021年

作者： Chen, Wenqing Tian, Jidong Fan, Caoyun He, Hao Jin, Yaohui MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University China

Recent work for image captioning mainly followed an extract-then-generate paradigm, pre-extracting a sequence of object-based features and then formulating image captioning as a single sequence-to-sequence task. Although promising, we observed two problems in generated captions: 1) content inconsistency where models would generate contradicting facts;2) not informative enough where models would miss parts of important information. From a causal perspective, the reason is that models have captured spurious statistical correlations between visual features and certain expressions (e.g., visual features of "long hair" and "woman"). In this paper, we propose a dependent multi-task learning framework with the causal intervention (DMTCI). Firstly, we involve an intermediate task, bag-of-categories generation, before the final task, image captioning. The intermediate task would help the model better understand the visual features and thus alleviate the content inconsistency problem. Secondly, we apply Pearl’s do-calculus on the model, cutting off the link between the visual features and possible confounders and thus letting models focus on the causal visual features. Specifically, the high-frequency concept set is considered as the proxy confounders where the real confounders are inferred in the continuous space. Finally, we use a multi-agent reinforcement learning (MARL) strategy to enable end-to-end training and reduce the inter-task error accumulations. The extensive experiments show that our model outperforms the baseline models and achieves competitive performance with state-of-the-art models. © 2021, CC BY.

关键词： Fertilizers

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Traffic-Demand Dynamic Spectrum Access

Traffic-Demand Dynamic Spectrum Access

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International Conference on Wireless communications, networking and Mobile Computing (WiCom)

作者： Xianzhong Xie Tong Zhou Xue-Tao Dong Li-Hua He National Defense Key Laboratory of Telecommunication System Information and Control Technology NO.36 Institute of CETC Jiaxing China Institute of personal communication MII Key lab on mobile communication CQUPT Chongqing China

Cognitive radio was deemed to an effective solution to the current shortage of spectrum resources. The most important part of the technique is open spectrum access. A naive spectrum allocation between CR users may lead to significant interference and reduce and reduce the usage of the spectrum. In this paper, we first develop a graph-theoretical model to characterize the different traffic demands between CR users by using interfere graph, on the basis of traditional labeling system we propose a Traffic-demand algorithm base on the graph theoretical model, which can support the different traffic demands of CR users that change with time. Experimental results show that when the traffic demands of CR users are limited and change with time, our algorithm can dramatically improve the fairness and produce high efficiency of the spectrum allocation.

关键词： Chromium Traffic control labeling Sensor arrays communication system traffic control Interference Resource management Bandwidth Helium Mobile communication

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Twice-Cooperative Spectrum Sensing in Cognitive Radio systems

Twice-Cooperative Spectrum Sensing in Cognitive Radio System...

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International Conference on Wireless communications, networking and Mobile Computing (WiCom)

作者： Li-Hua He Xianzhong Xie Xue-Tao Dong Tong Zhou Institute of personal communication MII Key lab on mobile communication CQUPT Chongqing China National Defense Key Laboratory of Telecommunication System Information and Control Technology NO.36 Institute of CETC Jiaxing China

The sensing performance of local detection in cognitive radio systems will be degraded when the channel experience fading and shadowing, and hidden terminal problem is inevitable for the primary transmitter-sensing. To overcome this problem, cooperative spectrum sensing has been proposed. We propose a twice-cooperative sensing algorithm to improve the sensing performance. By comparing to the single-cooperative, the simulations show that the proposed algorithm can enhance the sensing performance and the proposed algorithm can also save the band width of the control channel.

关键词： Cognitive radio Fading Degradation Shadow mapping Statistics Wireless sensor networks Probability Helium Mobile communication laboratories

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Chaos characteristics analysis of transient signals for phase-locked synthesizer based FHC system

Chaos characteristics analysis of transient signals for phas...

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International Symposium on communications and Information Technologies (ISCIT)

作者： Li Ping Wang Guohong Xiaopeng Yan Gong Peng Wenbo Shi Song Chunyun Beijing Institute of Technology National Key Lab. of Mechatronic Engineering and Control Beijing China Northeastern University School of Computer and Communication Engineering Qinhuangdao China National Lab. of Information Control Technology for Communication System Jiaxing Zhejiang China

ISBN: (纸本)9781479944156

Frequency synthesizer plays an important role in frequency hopping communication system. In this paper, we derivate the conditions for a system to become the chaotic based on the phase model of phase-locked synthesizer. We found that the system parameter changing during the frequency switching is able to make the system to be chaotic. Based on the Cao's method [5], we find that the fractal dimension of the transient signals should be equal to or less than 4, which also provides the maximal positive Lyapunov exponent. In addition, the unique double-ring attractor of them is also reproduced through the phase reconstruction, which also implies that the frequency switching will result in a chaotic for Frequency-Hopping communication system.

关键词： Chaotic communication Switches Fractals Estimation Variable speed drives

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AUV dead-reckoning navigation based on neural network using a single accelerometer 11

AUV dead-reckoning navigation based on neural network using ...

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11th ACM International Conference on Underwater networks and systems, WUWNet 2016

作者： Xie, Yan-Xin Liu, Jun Hu, Cheng-Quan Cui, Jun-Hong Xu, Hongli State Key Laboratory of Robotics CAS No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University Changchun China Underwater Sensor Network Lab. University of Connecticut StorrsCT06269 United States Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

ISBN: (纸本)9781450346375

The accuracy of the Autonomous Underwater Vehicles (AUVs) navigation system determines whether they can safely operate and return. Traditional Dead-reckoning (DR) relies on the inertial sensors such as gyroscope and accelerometer. A major challenge for DR navigation is from measurement error of the inertial sensors (gyroscope, accelerometer, etc.), especially when the AUV is near or at the ocean surface. The AUV's motion is affected by ocean waves, and its pitch angle changes rapidly with the waves. This rapid change and the measurement errors will cause great noise to the direction measured by gyroscopes, and then lead to a large error to the DR navigation. To address this problem, a novel DR method based on neural network (DR-N) is proposed to explore the time-varying relationship between acceleration measurement and orientation measurement, which leverages acoustic localization and neural network estimate timely pitch angle through the explored time-varying relationship. This method enables AUV's DR navigation with a single acceleration, without relying on both acceleration and gyroscope. Most importantly, we can improve the accuracy of AUV navigation through avoiding DR errors caused by gyroscope noise at the sea surface. Simulations show DR-N significantly improves navigation accuracy.

关键词： Accelerometers

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OMNIRank: Risk quantification for P2P platforms with deep learning

arXiv

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arXiv 2017年

作者： Zhang, Honglun Wang, Haiyang Chen, Xiaming Wang, Yongkun Jin, Yaohui State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University Shanghai200240 China Network and Information Center Shanghai Jiao Tong University Shanghai200240 China

P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit each other without complicated verifications. However, due to lack of specialized laws, delegated monitoring and effective managements, P2P platforms may spawn potential risks, such as withdraw failures, investigation involvements and even runaway bosses, which cause great losses to lenders and are especially serious and notorious in China. Although there are abundant public information and data available on the Internet related to P2P platforms, challenges of multi-sourcing and heterogeneity matter. In this paper, we promote a novel deep learning model, OMNIRank, which comprehends multi-dimensional features of P2P platforms for risk quantification and produces scores for ranking. We first construct a large-scale flexible crawling framework and obtain great amounts of multi-source heterogeneous data of domestic P2P platforms since 2007 from the Internet. Purifications like duplication and noise removal, null handing, format unification and fusion are applied to improve data qualities. Then we extract deep features of P2P platforms via text comprehension, topic modeling, knowledge graph and sentiment analysis, which are delivered as inputs to OMNIRank, a deep learning model for risk quantification of P2P platforms. Finally, according to rankings generated by OMNIRank, we conduct flourish data visualizations and interactions, providing lenders with comprehensive information supports, decision suggestions and safety guarantees. Copyright © 2017, The Authors. All rights reserved.

关键词： Data visualization

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Poster abstract: Direct multi-hop time synchronization with constructive interference

Poster abstract: Direct multi-hop time synchronization with ...

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International Symposium on Information Processing in Sensor networks (IPSN)

作者： Yin Wang Gaofeng Pan Zhiyu Huang MOE Key Lab for Information System Security TNLIST Tsinghua University Science and technology on communication information security control laboratory Chinese Academy of Sciences

ISBN: (纸本)9781479964703

Multi-hop time synchronization in wireless sensor networks (WSNs) is often time-consuming and error-prone due to random time-stamp delays for MAC layer access and unstable clocks of intermediate nodes. Constructive interference (CI), a recently discovered physical layer phenomenon, allows multiple nodes transmit and forward an identical packet simultaneously. By leveraging CI, we propose direct multihop (DMH) time synchronization by directly utilizing the time-stamps from the sink node instead of intermediate n-odes, which avoids the error caused by the unstable clock of intermediate nodes. DMH doesn't need decode the flooding time synchronization beacons. Moreover, DMH explores the linear regression technique in CI based time synchronization to counterbalance the clock drifts due to clock skews.

关键词： Synchronization Clocks Protocols Accuracy Interference Wireless sensor networks Relays

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EMG-based neural network control of an upper-limb power-assist exoskeleton robot

EMG-based neural network control of an upper-limb power-assi...

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10th International Symposium on Neural networks, ISNN 2013

作者： Su, Hang Li, Zhijun Li, Guanglin Yang, Chenguang Key Lab of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology Guangzhou China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong China School of Computing and Mathematics Plymouth University PL4 8AA United Kingdom

ISBN: (纸本)9783642390678

The paper presents the electromyogram (EMG)-based neural network control of an upper-limb power-assist exoskeleton robot, which is proposed to control the robot in accordance with the user's motion intention. The upper limb rehabilitation exoskeleton is with high precision for co-manipulation tasks of human and robot because of its backdrivability, precise positioning capabilities, and zero backlash due to its harmonic drive transmission (HDT). The novelty of this work is the development of an adaptive neural network modeling and control approach to handle the unknown parameters of the harmonic drive transmission in the robot to facilitate motion control. We have conducted the experiments on human subject to identify the various parameters of the harmonic drive system combining sEMG information signals. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Robots

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Micro-Bending Influence on Mode-Dependent Loss

Micro-Bending Influence on Mode-Dependent Loss

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International Conference on Advanced Infocomm Technology (ICAIT)

作者： Junpeng Liang Gang Qiao Jinlong Wei Juhao Li Yu Yang Zhaopeng Xu Lulu Liu Shangcheng Wang Qi Wu Weisheng Hu Dept. of Circuits and System Peng Cheng Laboratory Shenzhen China State Key Lab of Advanced Optical Communication Systems and Network Peking University Beijing China

Micro-bending with random curvature is usually used to model the mode coupling in few mode fiber (FMF). However, previous models overlooked the accompanied mode dependent loss (MDL) and neglected the order constraints of coupling loss between different modes. In this work, we calculate out the accompanied loss of each mode by using the finite element method. The results show that MDL always increases with bending curvature due to the high-order modes have larger loss than low-order modes. This observation has been confirmed by experiments. Finally, we compare the multi-segment FMFs model with and without considering the accompanied MDL, the results show that micro-bending would degrade the system performance especially when considering the accompanied MDL.

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