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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

Graph neural network-based scheduling for multi-UAV-enabled communications in D2D networks

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Digital Communications and Networks 2024年第1期10卷 45-52页

作者： Pei Li Lingyi wang Wei Wu Fuhui Zhou baoyun wang Qihui Wu Nanjing University of Posts and Telecommunications Nanjing210023China Nanjing University of Aeronautics and Astronautics Nanjing210016China

In this paper,we jointly design the power control and position dispatch for Multi-Unmanned Aerial Vehicle(UAV)-enabled communication in Device-to-Device(D2D)*** objective is to maximize the total transmission rate of Downlink Users(DUs).Meanwhile,the Quality of Service(QoS)of all D2D users must be *** comprehensively considered the interference among D2D communications and downlink *** original problem is strongly non-convex,which requires high computational complexity for traditional optimization *** to make matters worse,the results are not necessarily globally *** this paper,we propose a novel Graph Neural Networks(GNN)based approach that can map the considered system into a specific graph structure and achieve the optimal solution in a low complexity ***,we first construct a GNN-based model for the proposed network,in which the transmission links and interference links are formulated as vertexes and edges,***,by taking the channel state information and the coordinates of ground users as the inputs,as well as the location of UAVs and the transmission power of all transmitters as outputs,we obtain the mapping from inputs to outputs through training the parameters of *** results verified that the way to maximize the total transmission rate of DUs can be extracted effectively via the training on ***,it also shows that the performance of proposed GNN-based method is better than that of traditional means.

关键词： Unmanned aerial vehicle D2 Dcommunication Graph neural network Power control Position planning

Optimal transmit beamforming for near-field integrated sensing and wireless power transfer systems

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Intelligent and Converged Networks 2022年第4期3卷 378-386页

作者： Ping Sun Haibo Dai baoyun wang School of Communication and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China

The integrated sensing and wireless power transfer(ISWPT)technology,in which the radar sensing and wireless power transfer functionalities are implemented using the same hardware platform,has been recently *** this paper,we consider a near-field ISWPT system where one hybrid transmitter deploys extremely large-scale antenna arrays,and multiple energy receivers are located in the near-field region of the *** such a new scenario,we study radar sensing and wireless power transfer performance trade-offs by optimizing the transmit beamforming *** particular,we consider the transmit beampattern matching and max-min beampattern gain design *** each radar performance metric,we aim to achieve the best performance of radar sensing,while guaranteeing the requirement of wireless power *** corresponding beamforming design problems are non-convex,and the semi-definite relaxation(SDR)approach is applied to solve them globally ***,numerical results verify the effectiveness of our proposed solutions.

关键词： radar sensing near-field wireless power transfer integrated sensing and wireless power transfer(ISWPT) beamforming design

Efficient Deployment of Multiple UAVs for IoT Communication in Dynamic Environment

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China Communications 2020年第1期17卷 89-103页

作者： Haibo Dai Haiyang Zhang Chunguo Li baoyun wang School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Engineering Systems and Design Pillar Singapore University of Technology and Design487372Singapore School of Information Science and Engineering Southeast UniversityNanjing 210096China College of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China

The application of unmanned aerial vehicle(UAV)-mounted base stations is emerging as an effective solution to provide wireless communication service for a target region containing some smart objects(SOs)in internet of things(IoT).This paper investigates the efficient deployment problem of multiple UAVs for IoT communication in dynamic *** first define a measurement of communication performance of UAVto-SO in the target region which is regarded as the optimization *** state of one SO is active when it needs to transmit or receive the data;otherwise,*** switch of two different states is implemented with a certain probability that results in a dynamic communication *** the dynamic environment,the active states of SOs cannot be known by UAVs in advance and only neighbouring UAVs can communicate with each *** overcome these challenges in the deployment,we leverage a game-theoretic learning approach to solve the position-selected *** problem is modeled a stochastic game,which is proven that it is an exact potential game and exists the best Nash equilibria(NE).Furthermore,a distributed position optimization algorithm is proposed,which can converge to a pure-strategy *** results demonstrate the excellent performance of our proposed algorithm.

关键词： IoT UAV communication stochastic game Nash equilibrium distributed learning

New hydrous phases in the Al_(2)O_(3)-SiO_(2)-H_(2)O system under the mantle transition zone conditions

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Science China Earth Sciences 2023年第4期66卷 730-737页

作者： baoyun wang Jin LIU Suyu FU Pu XIAO Li LI Xing DING Wansheng XIAO College of Material and Chemical Engineering Tongren UniversityTongren 554300China Center for High Pressure Science and Technology Advanced Research(HPSTAR) Beijing 100193China Department of Earth and Planetary Science the University of TokyoTokyo 1130033Japan State Key Laboratory of Isotope Geochemistry Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China Key Laboratory of Mineralogy and Metallogeny Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China

Hydrous minerals in the subducting slabs are potential water carriers into the deep mantle,and thus the synthesis of new hydrous phases is significant in our understanding of water circulation throughout the Earth’s *** this study,we report the two new hydrous phases,Al_(2)SiO_(6)H_(2)and Al_(5.5)Si_(4)O_(18)H_(3.5)(hereafter referred to simply as phases Psi and Phi,respectively),which are synthesized in the Al_(2)O_(3)-SiO_(2)-H_(2)O system at 15.5 GPa,1400℃and 17.5 GPa,1600℃ by using Sakura2500-ton multi-anvil *** luminescence spectra of Cr3+show the phase Psi has characteristic peaks at 687,693 and705 nm,while phase Phi has characteristic peaks at 691,696 and 708 ***-crystal X-ray diffraction (SCXRD) refinements yield a monoclinic structure of both phases (space group P2_(1)) with ideal chemical formulae of Al_(2)SiO6H2and *** determined lattice parameters for phase Psi are a=9.4168±0.0016Å,b=4.3441±0.0007Å,c=9.4360±0.002Åand β=119.726±0.005°at ambient pressure and 300 K,while the phase Phi has a=7.2549±0.0018Å,b=4.3144±0.001Å,c=8.0520±0.002Å,and β=101.740±0.009°at ambient pressure and 250 *** microprobe analyses (EPMA) show the chemical compositions of phases Psi and Phi to be Al_(1.99)Si_(0.85)O_(6)H_(2.62)and Al_(5.58)Si_(2.81)O_(18)H_(8.03),respectively,which slightly deviate from the ideal formulae inferred from SCXRD *** may result from the disorder or substitution of Al and Si by H in the crystal structures under our synthesis *** study suggests that phases Psi and Phi are the two potential water carriers at the upper part of the mantle transitions zone,providing new insights into how deep water is stored in this region.

关键词： New hydrous phases Mantle transition zone Al_(2)O_(3)-SiO_(2)-H_(2)O system Al_(2)SiO_(6)H_(2) Al_(5.5)Si_(4)O_(18)H_(3.5)

Two-Hop Gaussian Relay Channel with Linear Relaying： Achievable Rate and Optimization Design

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China Communications 2012年第2期9卷 96-104页

作者： Deng Zhixiang wang baoyun Lang Fei Ma Yayan Liu Chen State Key Laboratory of Networking and Switching Beijing University of Posts and TelecommunicationsBeijing 100876P.R.China College of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China College of Automation Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China College of Computer and Information Engineering Hohai UniversityChangzhou 213022P.R.China College of Electronic Science Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China

The relay node with linear relaying transmits the linear combination of its past received *** optimization of two-hop relay channel with linear relaying is discussed in this *** capacity for the two-hop Gaussian relay channel with linear relaying is derived,which can be formulated as an optimization problem over the relaying matrix and the covariance matrix of the signals transmitted at the *** is proved that the solution to this optimization problem is equivalent to a "single-letter" optimization *** also show that the solution to this "single-letter" optimization problem has the same form as the expression of the rate achieved by Time-Sharing Amplify and Forward(TSAF).In order to solve this equivalent problem,we proposed an iterative *** results show that if channel gain of one hop is relatively smaller,the achievable rate with TSAF is closer to the max-flow min-cut capacity bound,but at a lower complexity.

关键词： linear relaying two-hop relay channel time-sharing Amplify-and-Forward (AF)

采用博弈论的认知无线网络主用户和不可信任次用户的协作策略

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西安交通大学学报 2016年第2期50卷 61-67页

作者：马亚燕王保云南京邮电大学通信与信息工程学院南京210003

针对认知无线网络中不可信任的次用户发送者(ST)会对主链路进行窃听的问题,以将主用户发送者(PT)和ST之间的敌对关系转化为协作关系为目的,提出2种采用博弈论的协作策略:斯塔伯格策略及其改进策略——双层博弈策略。在斯塔伯格策略中,S... 详细信息

针对认知无线网络中不可信任的次用户发送者(ST)会对主链路进行窃听的问题,以将主用户发送者(PT)和ST之间的敌对关系转化为协作关系为目的,提出2种采用博弈论的协作策略:斯塔伯格策略及其改进策略——双层博弈策略。在斯塔伯格策略中,ST工作于半双工模式,和窃听相比,它更希望传送数据,因此PT轮流和每个ST进行斯塔伯格博弈,选择对未被选中的ST(即潜在的窃听者)产生更多干扰的ST一起使用授权频段发送数据。为促进ST之间的竞争,将斯塔伯格策略扩展为双层博弈策略,外层仍是斯塔伯格策略,PT将所有的ST看作一个整体进行博弈;内层拍卖博弈中,每个ST尽可能提高安全速率来赢得接入授权频段的机会,PT则选择能提供最高安全速率的ST进行合作,因此它能够获得更高的收益。仿真结果表明,在这2种策略作用下,主链路的安全速率分别提高了63%和68%,ST接入授权频段的概率分别为56%和71%。

关键词：认知无线网络博弈论合作安全

一种沟谷型潜在泥石流危险性评价方法:基于多源数据融合的卷积神经网络

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地球信息科学学报 2023年第3期25卷 588-605页

作者：徐繁树王保云韩俊云南师范大学信息学院昆明650500 云南师范大学数学学院昆明650500 云南省高校复杂系统建模及应用重点实验室昆明650500

山区多发沟谷型泥石流,而由于山区地形崎岖,导致无法开展大面积的泥石流危险性评价工作。本文使用遥感数据、DEM(Digital Elevation Model)数据以及岩性、土壤、植被数据,构建了一个基于多源数据,能快速进行大面积排查工作的卷积神经网... 详细信息

山区多发沟谷型泥石流,而由于山区地形崎岖,导致无法开展大面积的泥石流危险性评价工作。本文使用遥感数据、DEM(Digital Elevation Model)数据以及岩性、土壤、植被数据,构建了一个基于多源数据,能快速进行大面积排查工作的卷积神经网络模型RSDNet(Residual-Shuffle-Dense residual Net)。该模型首先使用最大池化改进的残差结构对各类不同数据进行浅层特征提取,然后使用通道重排以加强各类数据底层特征间的关联性,接着使用密集残差结构对底层特征作进一步的特征提取,学习各类特征间的相互作用对潜在泥石流危险性的影响,最后根据待评价沟谷与已发生过泥石流沟谷的相似度给出沟谷的潜在危险性。在训练过程中,使用了交叉熵和基于焦点损失改进的联合损失函数,使模型能更好地区分各类沟谷的形态特征和致灾特征。RSDNet在沟谷分类任务上可达到89.7%的精确率。在对怒江州全境沟谷进行潜在危险性评价的任务中,132条历史泥石流沟谷有122条被模型判断为高危险或极危险。结果表明模型性能良好,为沟谷泥石流的危险性评价提供了新思路。

关键词：泥石流灾害预测山区沟谷多源数据融合怒江州卷积神经网络残差模块焦点损失

NEW EXPONENTIAL BIDIRECTIONAL ASSOCIATIVE MEMORY

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Journal of Electronics(China) 1996年第1期13卷 56-60页

作者： wang baoyun Zhang Qing He Zhenya (Department of Radio Engineering, Southeast University, Nanjing 210096) Department of Radio Engineering Southeast University Nanjing

A new exponential bidirectional associative memory model is introduced. It offers an even better recall performance than the modified exponential bidirectional associative memory (MEBAM). Only a little complexity of r... 详细信息

关键词： Exponential associative memory Stability Dynamic range