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雷达目标三维散射中心位置正向推导和分析

电子与信息学报 2018年第12期40卷 2854-2860页

作者：张磊何思远朱国强张云华殷红成闫华武汉大学电子信息学院武汉430072 电磁散射重点实验室北京100854

为了更好地将散射中心与目标结构联系起来,该文基于目标几何模型给出一种在单次和2次耦合散射机理下雷达目标部件级3维散射中心位置正向推算方法。重点探究了2次耦合散射机理下强散射情况的射线等效位置确定原理及方法。对其他弱散射情... 详细信息

为了更好地将散射中心与目标结构联系起来,该文基于目标几何模型给出一种在单次和2次耦合散射机理下雷达目标部件级3维散射中心位置正向推算方法。重点探究了2次耦合散射机理下强散射情况的射线等效位置确定原理及方法。对其他弱散射情况,应用等价变换等效为强散射情况。最后,使用此位置推算方法推导并分析了直角二面角,钝角二面角,SLICY, T72坦克模型的部件级3维散射中心位置,并与相应的仿真或实测SAR图像进行比对以验证此位置推算方法的正确性。

关键词：散射中心位置参数正向推导

含曲面介质结构复杂目标电磁散射计算的射线追踪方法

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电波科学学报 2016年第3期31卷 546-552,596页

作者：张磊侯兆国董纯柱王超殷红成电磁散射重点实验室北京100854 中国航天科工二院北京100854

针对含曲面介质结构的电大复杂目标电磁散射计算问题,提出一种基于平面元网格模型曲率重构与射线密度归一化概念相结合的快速射线追踪方法.该方法通过曲率重构计算复杂目标表面的主曲率半径,考虑从光疏介质到光密介质和从光密介质到光... 详细信息

针对含曲面介质结构的电大复杂目标电磁散射计算问题,提出一种基于平面元网格模型曲率重构与射线密度归一化概念相结合的快速射线追踪方法.该方法通过曲率重构计算复杂目标表面的主曲率半径,考虑从光疏介质到光密介质和从光密介质到光疏介质时电磁波照射凹凸曲面所具有的不同扩散或聚焦效应,并利用射线密度归一化计算射线追踪过程中每一根射线对总散射场的贡献.当射线与介质表面的碰撞点位于焦散处时,通过引入功率追踪成功克服了传统几何射线管在焦散处的奇异性.仿真结果验证了该方法的正确性和高效性.

关键词：电磁散射射线追踪曲面介质结构射线密度归一化雷达散射截面

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行人过街使用手机行为的心理影响因素研究

中国安全科学学报 2016年第6期26卷 13-18页

作者：姜康凌飞阳冯忠祥王锟尹宏程合肥工业大学汽车与交通工程学院

为深入研究行人过街使用手机行为成因,基于计划行为理论(TPB),引入分心感知变量,从社会心理学角度探讨影响行人过街使用手机行为的心理因素及因素间的作用关系。通过对405份问卷调查数据进行信度和效度检验,构建行人过街使用手机行为结... 详细信息

为深入研究行人过街使用手机行为成因,基于计划行为理论(TPB),引入分心感知变量,从社会心理学角度探讨影响行人过街使用手机行为的心理因素及因素间的作用关系。通过对405份问卷调查数据进行信度和效度检验,构建行人过街使用手机行为结构方程模型(SEM),得到各影响因素间的关系路径。结果表明,用TPB可以有效解释和预测行人过街使用手机行为,行人过街使用手机行为的影响因素中,行为意向和知觉行为控制最重要,其次是态度和分心感知,主观规范影响最弱。

关键词：行人过街手机分心计划行为理论(TPB) 分心感知结构方程模型(SEM)

HRRP稀疏自编码器深层特征与散射中心特征的关联性研究

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系统工程与电子技术 2021年第11期43卷 3040-3053页

作者：霍超颖闫华冯雪健殷红成邢笑宇陆金文北京环境特性研究所电磁散射重点实验室北京100854

利用稀疏自编码器网络对典型目标一维高分辨距离像(high resolution range profile,HRRP)进行了学习训练,基于各层权重系数矩阵定义了一种综合权重系数,通过综合权重系数和降维特征与散射中心特征的对比分析,发现稀疏自编码器深层特征... 详细信息

利用稀疏自编码器网络对典型目标一维高分辨距离像(high resolution range profile,HRRP)进行了学习训练,基于各层权重系数矩阵定义了一种综合权重系数,通过综合权重系数和降维特征与散射中心特征的对比分析,发现稀疏自编码器深层特征与散射中心特征之间具有一定的关联性,并对综合权重系数和深层降维特征的物理意义进行了解释。首先针对HRRP构建稀疏自编码器网络,经过深层学习后获取训练后的权重系数和降维后的特征,并与散射中心的位置特征和强度分布特征进行关联性分析。结果表明,综合权重系数矩阵为与散射中心密切相关的类字典系数矩阵,反映了距离域强散射中心位置随角度变化的可能的分子集;降维特征能够实现对强散射中心的学习和提取,反映了强散射中心位置和强度随角度的变化。最后分析了网络训练层数和降维维数对学习训练结果的影响,可指导后续网络参数的选择。文章首次针对雷达HRRP数据开展深度学习特征的可解释性研究,为后续深度学习在雷达数据处理中的广泛应用提供了有益的导引。

关键词：稀疏自编码器权重系数降维特征散射中心特征

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Neural Regeneration Research 2025年第2期20卷 366-377页

作者： Samuel Abokyi Dennis Yan-yin Tse School of Optometry The Hong Kong Polytechnic UniversityKowloonHong Kong Special Administrative RegionChina Research Center for SHARP Vision The Hong Kong Polytechnic UniversityKowloonHong Kong Special Administrative RegionChina Center for Eye and Vision Research Sha TinHong Kong Special Administrative RegionChina

Retinal aging has been recognized as a significant risk factor for various retinal disorders,including diabetic retinopathy,age-related macular degeneration,and glaucoma,following a growing understanding of the molecular underpinnings of their *** comprehensive review explores the mechanisms of retinal aging and investigates potential neuroprotective approaches,focusing on the activation of transcription factor *** meta-analyses have demonstrated promising outcomes of transcription factor EB-targeted strategies,such as exercise,calorie restriction,rapamycin,and metformin,in patients and animal models of these common retinal *** review critically assesses the role of transcription factor EB in retinal biology during aging,its neuroprotective effects,and its therapeutic potential for retinal *** impact of transcription factor EB on retinal aging is cell-specific,influencing metabolic reprogramming and energy homeostasis in retinal neurons through the regulation of mitochondrial quality control and nutrient-sensing *** vascular endothelial cells,transcription factor EB controls important processes,including endothelial cell proliferation,endothelial tube formation,and nitric oxide levels,thereby influencing the inner blood-retinal barrier,angiogenesis,and retinal ***,transcription factor EB affects vascular smooth muscle cells,inhibiting vascular calcification and *** retinal pigment epithelial cells,transcription factor EB modulates functions such as autophagy,lysosomal dynamics,and clearance of the aging pigment lipofuscin,thereby promoting photoreceptor survival and regulating vascular endothelial growth factor A expression involved in *** cell-specific functions of transcription factor EB significantly impact retinal aging mechanisms encompassing proteostasis,neuronal synapse plasticity,energy metabolism,microvasculature,and inflammation,ultimately offering pro

关键词： age-related macular degeneration anti-aging interventions autophagy calorie restriction diabetic retinopathy exercise glaucoma neuromodulation phagocytosis photoreceptor outer segment degradation retinal aging transcription factor EB

从点状博物馆建设布局到网状博物馆之城控制引导——以西安市博物馆之城规划为例

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城市建筑 2018年第8期15卷 75-78页

作者：拜振国尹宏程西安市城市规划设计研究院发展研究中心西安市城市规划设计研究院

文章剖析了市场经济条件下博物馆布局的新要求。博物馆布局应突出三个重点:(1)突破基本公共产品和非基本公共产品的概念,控制性规划与引导性规划并重;(2)丰富博物馆类别,扩大博物馆布局范围,打造博物馆之城;(3)拓展博物馆建设与旅游业... 详细信息

文章剖析了市场经济条件下博物馆布局的新要求。博物馆布局应突出三个重点:(1)突破基本公共产品和非基本公共产品的概念,控制性规划与引导性规划并重;(2)丰富博物馆类别,扩大博物馆布局范围,打造博物馆之城;(3)拓展博物馆建设与旅游业充分融合发展。本文以西安为例,提出博物馆布局突出构建城市活态博物馆,构建属于日常文化设施的博物馆,构建特色博物馆空间体系的策略,并构建了"宏观山水格局——中观博物馆空间结构——微观博物馆布局一体化"的城市博物馆体系。

关键词：博物馆设施规划西安博物馆之城

DKP-SLAM:A Visual SLAM for Dynamic Indoor Scenes Based on Object Detection and Region Probability

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Computers, Materials & Continua 2025年第1期82卷 1329-1347页

作者： Menglin yin Yong Qin Jiansheng Peng College of Automation Guangxi University of Science and TechnologyLiuzhou545000China Department of Artificial Intelligence and Manufacturing Hechi UniversityHechi546300China Key Laboratory of AI and Information Processing Education Department of Guangxi Zhuang Autonomous RegionHechi546300China Guangxi Key Laboratory of Sericulture Ecology and Applied Intelligent Technology School of Chemistry and BioengineeringHechi UniversityHechi546300China

In dynamic scenarios,visual simultaneous localization and mapping(SLAM)algorithms often incorrectly incorporate dynamic points during camera pose computation,leading to reduced accuracy and *** paper presents a dynamic SLAM algorithm that leverages object detection and regional dynamic ***,a parallel thread employs the YOLOX object detectionmodel to gather 2D semantic information and compensate for missed ***,an improved K-means++clustering algorithm clusters bounding box regions,adaptively determining the threshold for extracting dynamic object contours as dynamic points *** process divides the image into low dynamic,suspicious dynamic,and high dynamic *** the tracking thread,the dynamic point removal module assigns dynamic probability weights to the feature points in these *** with geometric methods,it detects and removes the dynamic *** final evaluation on the public TUM RGB-D dataset shows that the proposed dynamic SLAM algorithm surpasses most existing SLAM algorithms,providing better pose estimation accuracy and robustness in dynamic environments.

关键词： Visual SLAM dynamic scene YOLOX K-means++clustering dynamic probability

Research on Stock Price Prediction Method Based on the GAN-LSTM-Attention Model

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Computers, Materials & Continua 2025年第1期82卷 609-625页

作者： Peng Li Yanrui Wei Lili yin College of Computer Science and Technology Harbin University of Science and TechnologyHarbin150006China

Stock price prediction is a typical complex time series prediction problem characterized by dynamics,nonlinearity,and *** paper introduces a generative adversarial network model that incorporates an attention mechanism(GAN-LSTM-Attention)to improve the accuracy of stock price ***,the generator of this model combines the Long and Short-Term Memory Network(LSTM),the Attention Mechanism and,the Fully-Connected Layer,focusing on generating the predicted stock *** discriminator combines the Convolutional Neural Network(CNN)and the Fully-Connected Layer to discriminate between real stock prices and generated stock ***,to evaluate the practical application ability and generalization ability of the GAN-LSTM-Attention model,four representative stocks in the United States of America(USA)stock market,namely,Standard&Poor’s 500 Index stock,Apple Incorporatedstock,AdvancedMicroDevices Incorporatedstock,and Google Incorporated stock were selected for prediction experiments,and the prediction performance was comprehensively evaluated by using the three evaluation metrics,namely,mean absolute error(MAE),root mean square error(RMSE),and coefficient of determination(R2).Finally,the specific effects of the attention mechanism,convolutional layer,and fully-connected layer on the prediction performance of the model are systematically analyzed through ablation *** results of experiment show that the GAN-LSTM-Attention model exhibits excellent performance and robustness in stock price prediction.

关键词： Stock price prediction generative adversarial network attention mechanism time-series prediction

Flexible Strain Sensors with Ultra‑High Sensitivity and Wide Range Enabled by Crack‑Modulated Electrical Pathways

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Nano-Micro Letters 2025年第3期17卷 246-264页

作者： Yunzhao Bai Yunlei Zhou Xuanyu Wu Mengfei yin Liting yin Shiyuan Qu Fan Zhang Kan Li YongAn Huang State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Flexible Electronics Research Center Huazhong University of Science and TechnologyWuhan 430074People’s Republic of China Hangzhou Institute of Technology Xidian UniversityHangzhou 311200People’s Republic of China School of Mechano‑Electronic Engineering Xidian UniversityXi’an 710071People’s Republic of China Department of Aerospace and Mechanical Engineering University of Southern CaliforniaLos AngelesCA 90089USA

This study presents a breakthrough in flexible strain sensor technology with the development of an ultrahigh sensitivity and wide-range sensor,addressing the critical challenge of reconciling sensitivity with measurement *** by the structure of bamboo slips,we introduce a novel approach that utilises liquid metal to modulate the electrical pathways within a cracked platinum fabric *** resulting sensor demonstrates a gauge factor greater than 108 and a strain measurement capability exceeding 100%.The integration of patterned liquid metal enables customisable tuning of the sensor’s response,while the porous fabric structure ensures superior comfort and air permeability for the *** design not only optimises the sensor’s performance but also enhances the electrical stability that is essential for practical *** systematic investigation,we reveal the intrinsic mechanisms governing the sensor’s response,offering valuable insights for the design of wearable strain *** sensor’s exceptional performance across a spectrum of applications,from micro-strain to large-strain detection,highlights its potential for a wide range of real-world uses,demonstrating a significant advancement in the field of flexible electronics.

关键词： Flexible strain sensor Fabric Crack Response regulation Epidermal device