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2nd ACM International Conference on Multimedia in Asia, MMAsia 2020

作者： Li, Yanan Yu, Jun Zhan, Yibing Chen, Zhi Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781450383080

Visual relationship detection aims to predict the relationships between detected object pairs. It is well believed that the correlations between image components (i.e., objects and relationships between objects) are significant considerations when predicting objects' relationships. However, most current visual relationship detection methods only exploited the correlations among objects, and the correlations among objects' relationships remained underexplored. This paper proposes a relationship graph learning network (RGLN) to explore the correlations among objects' relationships for visual relationship detection. Specifically, RGLN obtains image objects using an object detector, and then, every pair of objects constitutes a relationship proposal. All relationship proposals construct a relationship graph, in which the proposals are treated as nodes. Accordingly, RGLN designs bi-stream graph attention subnetworks to detect relationship proposals, in which one graph attention subnetwork analyzes correlations among relationships based on visual and spatial information, and the other analyzes correlations based on semantic and spatial information. Besides, RGLN exploits a relationship selection subnetwork to ignore redundant information of object pairs with no relationships. We conduct extensive experiments on two public datasets: the VRD and the VG datasets. The experimental results compared with the state-of-the-art demonstrate the competitiveness of RGLN. © 2021 ACM.

关键词： Semantics

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Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model-taking Nujiang Prefecture,China as an example

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International Journal of Digital Earth 2022年第1期15卷 1966-1988页

作者： Fanshu Xu Baoyun Wang School of Information Science and Technology Yunnan Normal UniversityKunmingPeople’s Republic of China School of Mathematic Yunnan Normal UniversityKunmingPeople’s Republic of China Key Laboratory of Complex System Modelling and Application Yunnan Normal UniversityKunmingPeople’s Republic of China

Efforts to evaluate the susceptibility of debris flows in large areas,especially in mountainous regions,are often hampered by the alpine and canyon *** paper proposes a convolution neural network(CNN)model named dense residual shuffle net(DRSNet).It is successfully applied to Nujiang Prefecture in Yunnan Province of China,a typical alpine area with frequent debris *** uses digital elevation model,remote sensing,lithology,soil type and precipitation data as ***,dense connection and residual structure were used to extract the shallow features of various ***,channel shuffle,fuse block and fully connection were applied to strengthen the correlation between different shallow features and give inner danger ***,precipitation as the activation factor was introduced giving the valleys *** verify the feasibility of DRSNet,comparative tests were conducted on 7 CNN models and 3 other machine learning(ML)*** results show that DRSNet can achieve 78.6%accuracy in debris flow valley classification,which is at least 7.4%higher than common CNN models and 15.2%higher than other ML *** article provides new ideas for debris flow susceptibility evaluation.

关键词： Debris flow disaster prediction convolutional neural networks mountainous valleys

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Qualitative characteristics, sparse identification of nonlinear dynamics, and new analytical results of the coupled nonlinear Helmholtz equations

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Nonlinear Dynamics 2025年 1-26页

作者： Li, Peiluan Qiao, Rui Xu, Changjin Yiao, Miaoran Qu, Yizhen School of Mathematics and Statistics Henan University of Science and Technology Luoyang People’s Republic of China Guizhou Key Laboratory of Economics System Simulation Guizhou University of Finance and Economics Guiyang People’s Republic of China

The Helmholtz equation (HE) is comprised of two partial differential equations that illustrated wave propagation in a medium, especially for situations where the wavelength is much smaller than the spatial extent of the system. In this paper, we consider a coupled nonlinear HE to study its complex dynamics and analytical solutions. We portray some qualitative features such as: Bifurcation analysis, complex chaos dynamics, return map, recurrence plots, synchronization analysis and Sparse identification of nonlinear dynamics via applying sparse regression techniques. For analytical solutions, we use newly introduced method, i.e, Kumar-Malik approach to study soliton solutions. All results are depicted via 3D and 2D plots to showcase their behaviors. The integration of analytical, numerical, and data-driven techniques highlights the versatility and depth of the coupled HE system, with implications for nonlinear optics, wave dynamics, and computational modeling.

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Integration of SSPP Antenna and Vivaldi Arrays for 5G Sub-6 GHz and Millimeter-Wave Applications

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Cheng, Houyuan Li, Shangru Fu, Yang Yang, Helin Wu, Jiong Zhou, Xiangli Shi, Xintong Central China Normal University College of Physical Science and Technology Wuhan430079 China State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System National University of Defense Technology China

An integrated antenna system covering 5G Sub-6 GHz and millimeter-wave bands is proposed, combining a spoof surface plasmon polariton (SSPP) antenna and two Vivaldi arrays. The integrated design comprises three radiators: an SSPP array, a linear tapered slot (LTS), and Vivaldi arrays. The SSPP antenna (excited by port 1) operates in the Sub-6 GHz band (SUB: 4–4.9 GHz and 5.3–6 GHz) through its SSPP array, while the LTS covers millimeter-wave band 1 (MMW1: 23–25.8 GHz). Dual Vivaldi arrays, symmetrically distributed on both sides of the antenna and excited by ports 2 and 3, operate in millimeter-wave band 2 (MMW2: 18–25.8 GHz). Measured results demonstrate average realized gains of 11 dBi (SUB), 13 dBi (MMW1), and 14 dBi (MMW2). This design shows potential for 5G communication and radar systems. © 2002-2011 IEEE.

关键词： Millimeter waves

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An ISAR Image Reconstruction Method via Signal Support Reweighted l1 Minimization

An ISAR Image Reconstruction Method via Signal Support Rewei...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Tiehua Zhao Qihua Wu Zhiming Xu Xiaofeng Ai Feng Zhao Shunping Xiao The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

The sparse aperture caused by data loss or unintentional interference is the actual problem in radar imaging process. Therefore, a compressed sensing (CS) based ISAR image reconstruction method with signal support aided is proposed in this paper. Firstly, the signal support is constructed from FFT-based imaging results. Then the signal support is introduced as a prior information into the reweighted function during the CS reconstruction. The simulation results show that, when the azimuth effective aperture ratio is as low as 30 % and signal-to-noise ratio (SNR) equals to -10 dB, the proposed method can obtain clear imaging results like that of complete aperture data. Besides, compared with the traditional CS reconstruction method, the number of false points in the reconstruction results by proposed method is greatly reduced.

关键词： simulation Matching pursuit algorithms Imaging Radar imaging Apertures Reconstruction algorithms Minimization Sensors Image reconstruction Signal to noise ratio

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The Effect of Coherent Frequency Diverse Array on Watson-Watt Direction-Finding system

The Effect of Coherent Frequency Diverse Array on Watson-Wat...

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Neural Networks, Information and Communication Engineering (NNICE), International Conference on

作者： Qiang Liu Kunlai Xiong Fucheng Guo Tao Xu State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha China

Frequency diverse array(FDA) offer potential applications for enhancing the RF safety performance of FDA systems. This is due to the time-varying angle-distance coupling characteristics of the transmit beam map, which are caused by small frequency shifts between subarray elements. In this paper, we investigate the impact of coherent FDA signals on amplitude-based direction-finding systems, taking the Watson-Watt direction-finding system as an example. Firstly, we establish receiving model for direction finding of FDA signals. Secondly, we evaluate the error of the direction-finding system when using coherent FDA signals and analyze it with the Cramér-Rao lower bound(CRLB). Finally, we conduct a simulation analysis to validate the proposed theory. Both the theoretical analysis and simulation results demonstrate that coherent FDA signals can improve the radio frequency(RF) stealth performance. Specifically, the analysis and simulation results reveal that coherent FDA signals exhibit superior low-intercept performance for the Watson-Watt direction-finding system. These findings can be applied to all amplitude direction-finding systems.

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Semi-autonomous Multicopter Formation Control Under One Remote Pilot in GPS-Denied Environment

Semi-autonomous Multicopter Formation Control Under One Remo...

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International Conference on Autonomous Unmanned systems, ICAUS 2021

作者： Gao, Yan Wei, Donghui Bai, Chenggang Quan, Quan School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Electro-Mechanical Engineering Institute Beijing China

ISBN: (纸本)9789811694912

The multicopter formation is widely used in many different complex circumstances. And the semi-autonomous multicopter formation controlled with a single pilot on the ground draws people’s attention due to the great adaptability to various kinds of environments. In this paper, we focus on the problem of passing through narrow channels with semi-autonomous multicopter formation. Similar to the definition for a single multicopter, the altitude hold mode for the multicopter formation is defined first. Then, the formation decision-making and formation low-level control of the altitude hold mode are proposed one by one. Finally, a hardware-in-the-loop simulation and a real experiment are performed with four multicopters to pass through a narrow channel. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision making

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具有高度(220)取向垂直纳米孪晶异质结构铜薄膜的强化机制研究

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Acta Mechanica Sinica 2024年第1期40卷 44-53页

作者：韦小丁张鹏马瑜薇刘俊杰於中良丛超男 State Key Laboratory for Turbulence and Complex System Department of Mechanics and Engineering ScienceCollege of EngineeringPeking UniversityBeijing100871China Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing100083China Department of Engineering Mechanics Beijing University of TechnologyBeijing100124China College of Mechanical Engineering Yangzhou UniversityYangzhou225127China College of Science China Agricultural UniversityBeijing100083China

在本工作中,我们通过直流电沉积方法制备了含有不同体积比的(220)取向垂直纳米孪晶异质结构的铜薄膜,并表征了其力学性能.单轴拉伸测试表明,当垂直纳米孪晶的体积比增加时,机械性能显著提高:具有88%垂直孪晶的薄膜的极限拉伸强度为455 M... 详细信息

在本工作中,我们通过直流电沉积方法制备了含有不同体积比的(220)取向垂直纳米孪晶异质结构的铜薄膜,并表征了其力学性能.单轴拉伸测试表明,当垂直纳米孪晶的体积比增加时,机械性能显著提高:具有88%垂直孪晶的薄膜的极限拉伸强度为455 MPa,约比等轴晶粒铜薄膜的强度高83%.通过对拉伸后样品进行高分辨电子显微镜表征,并辅以分子动力学模拟,我们揭示了含有等轴晶粒和垂直纳米孪晶的特殊异质结构有助于激活铜薄膜材料内部多种模式的滑移系统,并导致更高的位错密度,从而在赋予材料更强的机械强度和加工硬化率的同时,不会显著损失材料的韧性.

关键词：纳米孪晶高分辨电子显微镜极限拉伸强度异质结构铜薄膜等轴晶粒滑移系统强化机制

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A fault isolation method using kernel canonical variate analysis-based contribution

A fault isolation method using kernel canonical variate anal...

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第35届中国过程控制会议

作者： Hongxin Wang Lingxia Mu Nan Feng Han Liu Ding Liu Department of Information and Control Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology School of Intelligence Science and Technology University of Science and Technology Beijing

Fault diagnosis and isolation is important for industrial system. In this paper, a kernel canonical variate analysis(KCVA) is proposed for fault isolation. KCVA is originally used as a data dimension reduction technique which can account for nonlinearity and correlations in the industrial dynamical process data. But there are some difficulties using KCVA in the construction of the contribution for the fault isolation. On the one hand, it is difficult to compute the contributions of individual variables because it is scarcely possible to find an inverse mapping from the feature space to the original space. On the other hand, a smearing effect is hardly avoided. To solve the problem, a KCVA-based contributions is proposed using the state subspace and the residual subspace which can isolate the faulty variables effectively. simulations are conducted on the Tennessee Eastman process to verify the performance of the proposed method.

关键词： Kernel canonical variate analysis contribution plot fault isolation

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HRSTORY: Historical News Review Based Online Story Discovery 25

HRSTORY: Historical News Review Based Online Story Discovery

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1

作者： Renjie Zhou Haoran Ye Jian Wan Yong Liao Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education Hangzhou Dianzi University Hangzhou Zhejiang China Zhejiang University of Science and Technology Hangzhou Zhejiang China University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9798400712456

Story discovery on news streams can help people quickly find story from vast amounts of news, improving the efficiency of information acquisition. Recent online story discovery methods encode text topics and then cluster articles into stories based on similarity. However, the results obtained by these methods are one-time, and clustered news cannot adaptively update in a continuous news stream. Additionally, the inadequate quality of article encoding and the presence of noise data deteriorate the performance of story discovery. To this end, we propose HRSTORY for online story discovery on news streams, which employs a historical news review method to enable news to continuously adapt to the latest environment in the stream data and make corrections and updates. Furthermore, HRSTORY captures better article embeddings through modeling multi-layer relational dependencies within the text. By using sentence-level noise masking, HRSTORY improves the relevance of news article representation to core topics and reduces the interference of noise data. Experiments on real news datasets show that HRSTORY outperforms the state-of-the-art algorithms in unsupervised online story discovery performance.

关键词： historical news

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