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GLOBECOM 2022 - 2022 IEEE Global communications Conference

作者： Yixin Wang Di Zhou Min Sheng Jiandong Li State Key Lab of ISN Information Science Institute Xidian University Xi'an Shaanxi China Science and Technology on Communication Networks Laboratory Shijiazhuang China

ISBN: (纸本)9781665435413

Satellite-terrestrial networks (STNs) consisting of satellite segment and ground segment have been regarded as a desirable solution for 6G. Efficient cooperative resource scheduling strategies, which cover the cooperation in satellite segment for data relay and the cooperation between satellite segment and ground segment for data downloading, play a pivotal role in enhancing the system performance in STNs. Since the dynamic channel condition and energy feeding greatly influence the network status, cooperative resource scheduling should be adaptive to the future environmental fluctuation. In this paper, we model the cooperative resource scheduling problem in STNs as a resource limited Markov Decision Process (MDP). Considering the fact that satellites are unaware of future environmental status, the traditional static optimization solution is infeasible. Therefore, we propose a Deep Reinforcement Learning (DRL) based Cooperative Store-and-Relay Resource Scheduling Algorithm (CSR-RSA), where inter-satellite links are utilized to coordinate with intermittent satellite-ground links for improving the transmission performance of the network. By exploiting the proposed CSR-RSA, the well-trained neural networks can be obtained to generate the adaptive and cooperative resource scheduling strategy without the knowledge of future environmental status. Simulation results verify the effectiveness of the proposed algorithm compared with traditional algorithms.

关键词： 6G mobile communication Adaptation models Satellites Adaptive systems Scheduling algorithms Heuristic algorithms Simulation

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Radar Sea Clutter Modeling and Reconstruction Based on Statistical Singularity Power Spectrum

Radar Sea Clutter Modeling and Reconstruction Based on Stati...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Gang Xiong Baigang Huang Science and Technology on Communication Information Security Control Lab. Jiaxing China Shanghai Key Lab. for Intelligent Sensing and Recognition SJTU Shanghai China Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC Jiaxing China

ISBN: (数字)9781728168968

ISBN: (纸本)9781728168975

In this paper, the radar clutter reconstruction model based on singularity power spectrum (SPS) and instantaneous singularity exponent (ISE) is proposed. The proposed ISE-SPS model consists of power measure channel and dimension measure channel. The multi-scale wavelet coefficients are estimated based on the coupling of the two channels to reconstruct the radar sea clutter. Experiment based on the Ice Multi-parameter Imaging X-Band (IPIX) indicates that the proposed model behaves better than the N-partitioned random multiplicative model (NRMM), with about 32% increment in terms of correlation coefficient and normalized MSE of MFS and SPS.

关键词： Power measurement Radar clutter Sea measurements Radar imaging Clutter Image reconstruction Wavelet coefficients

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56-Gb/s optical SSB PAM-4 transmission over 800-km SSMF using DDMZM transmitter and simplified direct detection Kramers-Kronig receiver

56-Gb/s optical SSB PAM-4 transmission over 800-km SSMF usin...

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Optical Fiber communication Conference, OFC 2018

作者： Zhu, Mingyue Zhang, Jing Ying, Hao Li, Xiang Luo, Ming Huang, Xiatao Song, Yingxiong Li, Fan Yi, Xingwen Qiu, Kun Key Lab. of Optical Fiber Sensing and Communications University of Electronic Science and Technology of China Chengdu611731 China State Key Laboratory of Optical Communication Technologies and Networks Wuhan Research Institute of Posts and Telecommunications Wuhan430074 China Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai200072 China School of Electronics and Information Technology Sun Yat-Sen University Guangzhou510275 China

We propose and experimentally demonstrate a simplified direct detection Kramer- Kronig (DD-KK) receiver followed by a Volterra filter to mitigate the SSBI and fiber nonlinearity in a 56-Gb/s optical SSB PAM-4 transmis... 详细信息

ISBN: (纸本)9781943580385

关键词： Pulse amplitude modulation

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3D-LeukoNoC: A dynamic NoC protection

3D-LeukoNoC: A dynamic NoC protection

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International Conference on Reconfigurable Computing and FPGAs (ReConFig)

作者： Johanna Sepulveda Guy Gogniat Daniel Flórez Jean-Philippe Diguet Cesar Pedraza Marius Strum Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR Information and Communication Science and Technology Laboratory Lab-STICC South Brittany University France Telecommunications Engineering Faculty University of Santo Tomas Colombia Microelectronics Laboratory LME University of Sao Paulo Brazil

Weaknesses derived from Through-Silicon-Vias (TSV)-based physical configurations of three-dimension Multiprocessor System-on-Chip (3D-MPSoC) can be exploited by malicious software to attack the system. By means of vertical communication manipulation an attacker is able to modify, spy and even denial the TSV communication. In this paper we propose 3D-LeukoNoC, a flexible and efficient security architecture based on 3D-NoC communication structure which, as the biological immune system, is able to detect attacks, isolate sensitive vertical communication while guaranteeing the correct system behavior. We compare our approach with several 3D-protection proposals, including the simple extension of 2D security countermeasures. We show that our solution outperforms other approaches with respect to attack detection while decreasing cost and performance impact on the system.

关键词： Security Quality of service Routing Through-silicon vias Three-dimensional displays IP networks Software

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Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters 23

Unifying and Improving Graph Convolutional Neural Networks w...

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2023 World Wide Web Conference, WWW 2023

作者： Wan, Liangtian Li, Xiaona Han, Huijin Yan, Xiaoran Sun, Lu Ning, Zhaolong Xia, Feng Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian China Research Center of Big Data Intelligence Research Institute of Artificial Intelligence Zhejiang Lab Hangzhou China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian China School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China School of Computing Technologies Rmit University Melbourne Australia

ISBN: (纸本)9781450394161

Graph convolutional neural network (GCN) is a powerful deep learning framework for network data. However, variants of graph neural architectures can lead to drastically different performance on different tasks. Model comparison calls for a unifying framework with interpretability and principled experimental procedures. Based on the theories from graph signal processing (GSP), we show that GCN's capability is fundamentally limited by the uncertainty principle, and wavelets provide a controllable trade-off between local and global information. We adapt wavelet denoising filters to the graph domain, unifying popular variants of GCN under a common interpretable mathematical framework. Furthermore, we propose WaveThresh and WaveShrink which are novel GCN models based on proven denoising filters from the signal processing literature. Empirically, we evaluate our models and other popular GCNs under a more principled procedure and analyze how trade-offs between local and global graph signals can lead to better performance in different datasets. © 2023 ACM.

关键词： Convolution

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l02.4-Gb/s optical SSB nyquist-PAM-4 transmission over 800-km SSMF at C-band using direct-detection kramers-kronig receiver

l02.4-Gb/s optical SSB nyquist-PAM-4 transmission over 800-k...

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2017 Asia communications and Photonics Conference, ACP 2017

作者： Zhu, Mingyue Yi, Xingwen Zhang, Jing Ying, Hao Li, Xiang Luo, Ming Li, Fan Li, Zhaohui Huangi, Xiatao Qiu, Kun Key Lab.of Optical Fiber Sensing and Communications University of Electronic Science and Technology of China Chengdu611731 China State Key Laboratory of Optical Communication Technologies and Networks Wuhan Research Institute of Posts and Telecommunications Wuhan430074 China School of Electronics and Information Technology Sun Yat-Sen University Guangzhou510275 China

By overcoming various detrimental effectsina nonlinear fiber transmission using DDMZM-based optical SSB transmitter and direct-detection Kramers-Kronig receiver, we successfully demonstrate arecord transmission of I02... 详细信息

ISBN: (纸本)9781943580347

关键词： Pulse amplitude modulation

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Dispersion-Suppressed Mode Depletion by Exceptional Points for On-Chip Nonlinear Optics

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Physical Review Applied 2022年第3期18卷 034028-034028页

作者： Boqing Zhang Nuo Chen Haofan Yang Yuntian Chen Jianji Dong Heng Zhou Xinliang Zhang Jing Xu School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan 430074 China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan 430074 China Key Lab of Optical Fiber Sensing and Communication Networks University of Electronic Science and Technology of China Chengdu 611731 China

Dispersion-suppressed mode depletion in a resonant cavity is usually challenging due to the entanglement of amplitude and phase response dictated by the Kramers-Kronig relationship. In this study, we examine the dispersion-suppressed mode depletion induced by parity–time- (PT-) symmetric dual resonators by taking advantage of the exotic property at the exceptional point (EP). We show that this technique can modify the linear spectrum of an optical resonator for relaxed phase-matching conditions in nonlinear optics, thus profoundly altering the nonlinear behavior of integrated Kerr combs. Indeed, dissipation-induced modulation instability (MI) is predicted and numerically verified in normal group-velocity dispersion (GVD) microresonators, and the single-soliton-generation probability is greatly enhanced in the anomalous GVD regime. The merging of two vibrant disciplines, i.e., non-Hermitian optics and nonlinear optics, especially Kerr microcombs, can deepen our understanding of non-Hermitian optical frequency combs and opens broad applications ranging from fiber-optic communications, microwave photonics, and ultrafast optics to quantum state manipulations.

关键词： Integrated optics Nonlinear optics Optical solitons Non-Hermitean systems Optical microcavities PT-symmetry Kerr effect Whispering gallery mode resonators

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An incremental turn-taking model for task-oriented dialog systems

arXiv

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arXiv 2019年

作者： Coman, Andrei C. Yoshino, Koichiro Murase, Yukitoshi Nakamura, Satoshi Riccardi, Giuseppe Signals and Interactive Systems Lab Department of Information Engineering and Computer Science University of Trento Italy Augmented Human Communication Laboratory Graduate School of Information Science Nara Institute of Science and Technology Japan

In a human-machine dialog scenario, deciding the appropriate time for the machine to take the turn is an open research problem. In contrast, humans engaged in conversations are able to timely decide when to interrupt the speaker for competitive or non-competitive reasons. In state-of-the-art turn-by-turn dialog systems the decision on the next dialog action is taken at the end of the utterance. In this paper, we propose a token-by-token prediction of the dialog state from incremental transcriptions of the user utterance. To identify the point of maximal understanding in an ongoing utterance, we a) implement an incremental Dialog State Tracker which is updated on a token basis (iDST) b) re-label the Dialog State Tracking Challenge 2 (DSTC2) dataset and c) adapt it to the incremental turn-taking experimental scenario. The re-labeling consists of assigning a binary value to each token in the user utterance that allows to identify the appropriate point for taking the turn. Finally, we implement an incremental Turn Taking Decider (iTTD) that is trained on these new labels for the turn-taking decision. We show that the proposed model can achieve a better performance compared to a deterministic handcrafted turn-taking algorithm. Copyright © 2019, The Authors. All rights reserved.

关键词： Recurrent neural networks

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Matching Ontologies Through Evolutionary Algorithm with Context-Based Reasoning 6th

Matching Ontologies Through Evolutionary Algorithm with Cont...

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6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021

作者： Yang, Chaofan Xue, Xingsi Yue, Cai Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou Fujian350118 China Intelligent Information Processing Research Center Fujian University of Technology Fuzhou Fujian350118 China College of Information Science and Engineering Fujian University of Technology Fuzhou Fujian350118 China Fujian Key Lab for Automotive Electronics and Electric Drive Fujian University of Technology Fuzhou Fujian350118 China Guangxi Key Laboratory of Automatic Detecting Technology and Instruments Guilin University of Electronic Technology Guilin Guangxi541004 China School of Information and Communication Guilin University of Electronic Technology Guilin Guangxi541004 China

ISBN: (纸本)9783030697167

Ontology matching can solve the heterogeneity problem between two ontologies, and EA represents a state-of-the-art technique for matching ontologies. However, there are two defects concerning the EA-based ontology matching technique: (1) a reference alignment between two ontologies to be matched is required in advance;(2) the confidence of entity similarity measure is low computational complexity of measuring the similarity value is high. To overcome these drawbacks, in this paper, an Evolutionary Algorithm with Context-based Reasoning method (EA-CR) is proposed, where: (1) an approximate metric without the reference alignment is utilized for evaluating the alignment’s quality;(2) a Context-based Reasoning method is presented to distinguish the heterogeneous entities. The experimental results show that the proposed approach is effective. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Ontology

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Wireless communication Signal Strength Prediction Method Based on the K-nearest Neighbor Algorithm

Wireless Communication Signal Strength Prediction Method Bas...

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2019国际计算机前沿大会

作者： Zhao Chen Ning Xiong Yujue Wang Yong Ding Hengkui Xiang Chenjun Tang Lingang Liu Xiuqing Zou Decun Luo Key Lab on Cognitive Radio and Information Processing School of Information and CommunicationGuilin University of Electronic Technology Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information SecurityGuilin University of Electronic Technology

Existing interference protection systems lack automatic evaluation methods to provide scientific,objective and accurate assessment *** address this issue,this paper develops a layout scheme by geometrically modeling the actual scene,so that the hand-held full-band spectrum analyzer would be able to collect signal field strength values for indoor complex *** improved prediction algorithm based on the K-nearest neighbor non-parametric kernel regression was proposed to predict the signal field strengths for the whole plane before and after being *** the highest accuracy set of data could be picked out by *** experimental results show that the improved prediction algorithm based on the K-nearest neighbor non-parametric kernel regression can scientifically and objectively predict the indoor complex scenes' signal strength and evaluate the interference protection with high accuracy.

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