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Coincidence Point and Common Fixed Point Theorems on b-Metric-like Spaces
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作者 LUO Ting 《应用数学》 北大核心 2025年第3期831-840,共10页
In this paper,we establish common fixed point theorems for expansive map?pings on b-metric-like space and coincidence point for f-weakly isotone increasing mappings in partially ordered b-metric-like space.The main re... In this paper,we establish common fixed point theorems for expansive map?pings on b-metric-like space and coincidence point for f-weakly isotone increasing mappings in partially ordered b-metric-like space.The main results generalize and extend several well-known comparable results from the existing literature.Moreover,some examples are provided to illustrate the main results. 展开更多
关键词 b-metric-like space Partially ordered b-metric-like space Expansive mapping f-weakly isotone mapping Coincidence point Common fixed point
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Triple point path prediction for height of burst explosion in highaltitude environment
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作者 Rui Li Minghang Hu +4 位作者 Rui Sun Yajing Chen Yan Li Quan Wang Xiaorong Cui 《Defence Technology(防务技术)》 2025年第4期109-119,共11页
Accurately forecasting the triple point(TP)path is essential for analyzing blast loads and assessing the destructive effectiveness of the height of burst explosion.Empirical models that describe the TP path under norm... Accurately forecasting the triple point(TP)path is essential for analyzing blast loads and assessing the destructive effectiveness of the height of burst explosion.Empirical models that describe the TP path under normal temperature and pressure environments are commonly employed;however,in certain configurations,such as at high-altitudes(HAs),the environment may involve low temperature and pressure conditions.The present study develops a theoretical prediction model for the TP path under reduced pressure and temperature conditions,utilizing the image bursts method,reflected polar analysis,and dimensional analysis.The model's accuracy is evaluated through numerical simulations and experimental data.Results indicate that the prediction model effectively evaluates the TP path under diminished temperature and pressure conditions,with most predictions falling within a±15%deviation.It was found that the TP height increases with altitude.As the altitude rises from 0 m to 10,000 m,the average TP height increases by 61.7%,87.9%,109.0%,and 134.3%for the scaled height of burst of 1.5 m,2.0 m,2.5 m,and 3.0 m,respectively.Moreover,the variation in TP height under HA environments closely mirrors that observed under corresponding reduced pressure conditions.In HA environments,only the effect of low-pressure conditions on the TP path needs to be considered,as the environmental lowtemperature has a minimal effect. 展开更多
关键词 Blast wave Triple point HIGH-ALTITUDE Mach reflection Height of burst
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Specific emitter identification based on frequency and amplitude of the signal kurtosis
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作者 ZHAO Yurui WANG Xiang +1 位作者 SUN Liting HUANG Zhitao 《Journal of Systems Engineering and Electronics》 2025年第2期333-343,共11页
Extensive experiments suggest that kurtosis-based fingerprint features are effective for specific emitter identification (SEI). Nevertheless, the lack of mechanistic explanation restricts the use of fingerprint featur... Extensive experiments suggest that kurtosis-based fingerprint features are effective for specific emitter identification (SEI). Nevertheless, the lack of mechanistic explanation restricts the use of fingerprint features to a data-driven technique and fur-ther reduces the adaptability of the technique to other datasets. To address this issue, the mechanism how the phase noise of high-frequency oscillators and the nonlinearity of power ampli-fiers affect the kurtosis of communication signals is investigated. Mathematical models are derived for intentional modulation (IM) and unintentional modulation (UIM). Analysis indicates that the phase noise of high-frequency oscillators and the nonlinearity of power amplifiers affect the kurtosis frequency and amplitude, respectively. A novel SEI method based on frequency and ampli-tude of the signal kurtosis (FA-SK) is further proposed. Simula-tion and real-world experiments validate theoretical analysis and also confirm the efficiency and effectiveness of the proposed method. 展开更多
关键词 communication emitter fingerprint feature KURTOSIS unintentional modulation(UIM) specific emitter identification(SEI).
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Analysis on the turning point of dynamic in-plane compressive strength for a plain weave composite
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作者 Xiaoyu Wang Zhixing Li +2 位作者 Licheng Guo Zhenxin Wang Jiuzhou Zhao 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第2期485-495,共11页
Experimental investigations on dynamic in-plane compressive behavior of a plain weave composite were performed using the split Hopkinson pressure bar. A quantitative criterion for calculating the constant strain rate ... Experimental investigations on dynamic in-plane compressive behavior of a plain weave composite were performed using the split Hopkinson pressure bar. A quantitative criterion for calculating the constant strain rate of composites was established. Then the upper limit of strain rate, restricted by stress equilibrium and constant loading rate, was rationally estimated and confirmed by tests. Within the achievable range of 0.001/s-895/s, it was found that the strength increased first and subsequently decreased as the strain rate increased. This feature was also reflected by the turning point(579/s) of the bilinear model for strength prediction. The transition in failure mechanism, from local opening damage to completely splitting destruction, was mainly responsible for such strain rate effects. And three major failure modes were summarized under microscopic observations: fiber fracture, inter-fiber fracture, and interface delamination. Finally, by introducing a nonlinear damage variable, a simplified ZWT model was developed to characterize the dynamic mechanical response. Excellent agreement was shown between the experimental and simulated results. 展开更多
关键词 Plain weave composite Dynamic strength Quantitative criterion Turning point Failure mechanism
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Spectral features of geomagnetic low point displacement and its mechanism 被引量:14
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作者 张学民 钱家栋 +3 位作者 王亚丽 赵旭 欧阳新艳 赵庶凡 《地震学报》 CSCD 北大核心 2008年第5期474-483,共10页
In this paper,Changli station in Hebei Province was taken as an example,in which the minute data of geomagnetic Z component was used to analyze the spectral values of its main frequencies during normal time,geomagneti... In this paper,Changli station in Hebei Province was taken as an example,in which the minute data of geomagnetic Z component was used to analyze the spectral values of its main frequencies during normal time,geomagnetic storm time and low point displacement time interval respectively. After fitting of ten high spectral values to loga-rithmic functions,it is found that,by using same length of data,the spectral values at geomagnetic storm time in-crease apparently compared with those at normal time,especially at the high frequency segment. While low point displacement occurred,the spectral values at high frequency are approximate to those at normal time,but at period above 4 hours they are mostly lower than those at normal time. Comparison of accumulating of some FFT results at low point displacement and normal time shows that,spectral values at periods of 8.5 and 13.7 hours increase at low point displacement time relative to those at normal time. Compared with the images of Ne observed at DE-METER satellite,it is illustrated that the occurrence of geomagnetic low point displacement is well corresponding with the increase of Ne in ionosphere. Finally it was discussed about those spectral features and the occurrence mechanism of geomagnetic low point displacement. 展开更多
关键词 地磁Z分量 低点位移 快速傅氏变换 DEMETER卫星 电子密度
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Probing the Linguistic and Rhetorical Features of English Speeches 被引量:1
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作者 李庆明 《西安理工大学学报》 CAS 2004年第3期327-331,共5页
English speech is a discourse delivered at an assembly or on formal occasions. As a variety of the English language, English speech has a unique presentation of its own. This paper, as its title indicates, is to analy... English speech is a discourse delivered at an assembly or on formal occasions. As a variety of the English language, English speech has a unique presentation of its own. This paper, as its title indicates, is to analyze and probe the linguistic and rhetorical features of famous English speeches with a view to improving the ability to appreciate English speeches on the part of Chinese learners of English. 展开更多
关键词 英语演讲 语言学 修辞特征 句型
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基于改进PointNet++的城市道路点云分类方法
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作者 田晟 熊辰崟 龙安洋 《广西师范大学学报(自然科学版)》 北大核心 2025年第4期1-14,共14页
城市道路场景的点云数据量巨大、类别分布不平衡且密度极不均匀,导致现有的点云分类方法难以满足高精度分类的需求。为了解决现有PointNet++网络对局部特征提取不充分的问题,本文充分考虑场景的上下文信息和点之间的全局依赖性,构建融... 城市道路场景的点云数据量巨大、类别分布不平衡且密度极不均匀,导致现有的点云分类方法难以满足高精度分类的需求。为了解决现有PointNet++网络对局部特征提取不充分的问题,本文充分考虑场景的上下文信息和点之间的全局依赖性,构建融合上下文信息的PointNet++点云分类网络模型。首先,基于注意力机制设计局部特征聚合模块,通过动态地融合邻域点特征以充分捕获局部信息。其次,考虑现有的分类模型不能顾及上下文信息,导致复杂场景下的分类性能受限,本文构建上下文感知模块和双注意力模块,从多个维度提取上下文信息,进一步增强特征的表达能力。实验结果表明:改进模型在大型点云数据集下具有更高的分类精度及更强的泛化性能(总体分类精度在Oakland和Paris公开数据集上分别为98.70%和96.84%),更适用于大规模点云分类。 展开更多
关键词 点云分类 pointNet++ 局部特征 注意力机制 上下文信息 城市道路
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改进R-LoFTR++的智能巡检特征匹配算法
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作者 舒军 王江舸 +2 位作者 杨莉 舒心怡 《重庆理工大学学报(自然科学)》 北大核心 2025年第2期86-96,共11页
在应用增强现实技术的变电站巡检工作中,背景纹理复杂难以提取特征点,大视角变化情况下匹配正确率低,针对以上问题提出改进特征匹配算法R-LoFTR++。引入高斯滤波进行预处理,有效减少图像噪声并平滑部分纹理,降低了匹配的复杂度。设计了... 在应用增强现实技术的变电站巡检工作中,背景纹理复杂难以提取特征点,大视角变化情况下匹配正确率低,针对以上问题提出改进特征匹配算法R-LoFTR++。引入高斯滤波进行预处理,有效减少图像噪声并平滑部分纹理,降低了匹配的复杂度。设计了特征方向描述子模块,增强了网络对图像关键点的方向敏感度,提高了大视角差图像间的匹配率。集成MAGSAC++算法,优化匹配过程、剔除误匹配点,提升了匹配的正确率。实验结果表明,R-LoFTR++算法在变电站真实数据集上的匹配效果都优于参与对比的其他特征匹配算法。在MegaDepth相同特定场景子集的实验中,R-LoFTR++在户外姿态评估实验中AUC指标相比于原网络提升了约0.92%~1.63%。 展开更多
关键词 特征匹配 LofTR算法 增强现实技术 电气检测
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基于SwinPoinTr的视角受限下杏鲍菇表型参数测量方法
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作者 谢立敏 黄轶 +2 位作者 吴昊宇 叶大鹏 方兵 《农业机械学报》 北大核心 2025年第3期148-157,共10页
针对菇房内杏鲍菇表型参数测量任务中,由于扫描设备视角受限,扫描的杏鲍菇点云出现残缺问题,基于AdaPoinTr(Adaptive geometry-aware point transformers)提出了改进的SwinPoinTr模型,实现了对残缺杏鲍菇点云的准确补全和杏鲍菇表型参... 针对菇房内杏鲍菇表型参数测量任务中,由于扫描设备视角受限,扫描的杏鲍菇点云出现残缺问题,基于AdaPoinTr(Adaptive geometry-aware point transformers)提出了改进的SwinPoinTr模型,实现了对残缺杏鲍菇点云的准确补全和杏鲍菇表型参数的测量。该方法在使用提出的特征重塑模块的基础上,构建具有几何感知能力的层次化Transformer编码模块,提高了模型对输入点云的利用率和模型捕捉点云细节特征的能力。然后基于泊松重建方法完成了补全点云表面重建,并测量到杏鲍菇表型参数。实验结果表明,本文所提算法在残缺杏鲍菇点云补全任务中,模型倒角距离为1.316×10^(-4),地球移动距离为21.3282,F1分数为87.87%。在表型参数估测任务中,模型对杏鲍菇菌高、体积、表面积估测结果的决定系数分别为0.9582、0.9596、0.9605,均方根误差分别为4.4213 mm、10.8185 cm^(3)、7.5778 cm^(2)。结果证实了该研究方法可以有效地补全残缺的杏鲍菇点云,可以为菇房内杏鲍菇表型参数测量提供基础。 展开更多
关键词 杏鲍菇 智慧菇房 表型参数 点云补全 泊松重建 Swinpointr
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The Lexis Features of Advertisement English
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作者 张高锋 田建国 《陕西师范大学学报(哲学社会科学版)》 CSSCI 北大核心 2004年第S2期401-404,共4页
This paper is going to focus on the lexis characteristics of the advertisement English in stylistics. The lexis characteristics of advertisement include using the new form of the spelling of a word to attract the cons... This paper is going to focus on the lexis characteristics of the advertisement English in stylistics. The lexis characteristics of advertisement include using the new form of the spelling of a word to attract the consumers’ attention; using the borrowed words to enhance the transmission effect of the advertisements; Frequent use of some verbs, adjectives to express the information and enhance the effect of language expression; Using the compounds in flexibility. Meanwhile, we could find out that some specific terms are used and the word used in advertisements show the gender. 展开更多
关键词 ADVERTISEMENT ENGLISH lexis feature LANGUAGE EXPRESSION
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The Detecting System of Image Forgeries with Noise Features and EXIF Information 被引量:5
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作者 SUN Xiaoting LI Yezhou +1 位作者 NIU Shaozhang HUANG Yanli 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2015年第5期1164-1176,共13页
Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchang... Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchangeable image file format (EXIF) information of image for images authen- tication. In particular, the authors can identify whether the current image has been modified or not by utilizing the relevance between noise and EXIF parameters and comparing the real values with the estimated values of the EXIF parameters. Experimental results validate the proposed method. That is, the detecting system can identify the doctored image effectively. 展开更多
关键词 Blind forensics doctored image EXIF parameters noise features
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Synthesis of new EVA graft copolymer and its pour point depressant performance evaluation for Daqing crude oil 被引量:4
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作者 伍丽娟 张帆 +1 位作者 关中原 郭淑凤 《Journal of Central South University》 SCIE EI CAS 2008年第S1期488-491,共4页
EVA was widely used as the pour point depressant for waxy oil.In order to improve its effect,some graft copolymerization methods should be used to modify EVA's property.EVA has long side chains and nitrogen polar ... EVA was widely used as the pour point depressant for waxy oil.In order to improve its effect,some graft copolymerization methods should be used to modify EVA's property.EVA has long side chains and nitrogen polar groups to enforce its adaptability and effect of waxy oil.The pure amine,maleicanhydride and their reaction product were tested using infrared spectra and the NMR spectral.The results show that when the modified EVA is added into oil,the wax deposits not only on the main chain but also on the side chains.And the polar groups have the function to avoid and resist the wax crystals connection each other to form the net.Using the reaction product of maleicanhydride and high carbonic amine(C12,C16,C18 amine) as the graft component,the toluene as the solvent and BPO as the initiator,the series of new EVA graft copolymer with special side chains are prepared under controlled condition.A series of cylmaleimide exist indeed in modified EVA and the highest grafted percentage is 18.8%.EVA-16,the new graft copolymer,is better than EVA about 3 ℃ more in depressant the pour-point of Daqing waxy crude oil. 展开更多
关键词 MODIFICATION EVA COPOLYMER POUR point depressants performance evolution DAQING crud
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Improved method for the feature extraction of laser scanner using genetic clustering 被引量:6
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作者 Yu Jinxia Cai Zixing Duan Zhuohua 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第2期280-285,共6页
Feature extraction of range images provided by ranging sensor is a key issue of pattern recognition. To automatically extract the environmental feature sensed by a 2D ranging sensor laser scanner, an improved method b... Feature extraction of range images provided by ranging sensor is a key issue of pattern recognition. To automatically extract the environmental feature sensed by a 2D ranging sensor laser scanner, an improved method based on genetic clustering VGA-clustering is presented. By integrating the spatial neighbouring information of range data into fuzzy clustering algorithm, a weighted fuzzy clustering algorithm (WFCA) instead of standard clustering algorithm is introduced to realize feature extraction of laser scanner. Aimed at the unknown clustering number in advance, several validation index functions are used to estimate the validity of different clustering algorithms and one validation index is selected as the fitness function of genetic algorithm so as to determine the accurate clustering number automatically. At the same time, an improved genetic algorithm IVGA on the basis of VGA is proposed to solve the local optimum of clustering algorithm, which is implemented by increasing the population diversity and improving the genetic operators of elitist rule to enhance the local search capacity and to quicken the convergence speed. By the comparison with other algorithms, the effectiveness of the algorithm introduced is demonstrated. 展开更多
关键词 laser scanner feature extraction weighted fuzzy clustering validation index genetic algorithm.
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Numerical Calculation of Seafloor Synthetic Seismograms Caused by Low Frequency Point Sound Source 被引量:4
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作者 LU Zaihua ZHANG Zhihong GU Jiannong 《Defence Technology(防务技术)》 SCIE EI CAS 2013年第2期125-132,共8页
Elastic wave on seafloor caused by low frequency noise radiated from ship is called ship seismic wave which can be used to identify ship target. In order to analyze the wave components and the propagating properties o... Elastic wave on seafloor caused by low frequency noise radiated from ship is called ship seismic wave which can be used to identify ship target. In order to analyze the wave components and the propagating properties of ship seismic wave, the numerical calculation of synthetic seismograms on seafloor aroused by a low frequency point sound source is carried out using a wave number integration technique combined with inverse Fourier transform. According to the numerical example of hard seafloor, the time series of seismic wave on seafloor are mostly composed of interface waves and normal mode waves. Each normal mode wave has a well defined low cut-off frequency, while the interface wave doesn't have. The frequency dispersion of normal mode wave is obvious when frequency is lower than 100Hz, while the interface wave is dispersive only in the infra-sound frequency range. The time series of seismic wave is dominated by the interface wave when the source frequency is less than the minimal cut-off frequency of normal mode wave. 展开更多
关键词 maritime engineering low frequency point sound source seismic wave synthetic seismogram numerical calculation
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基于Point Transformer方法的鱼类三维点云模型分类
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作者 胡少秋 段瑞 +3 位作者 张东旭 鲍江辉 吕华飞 段明 《水生生物学报》 北大核心 2025年第2期146-155,共10页
为实现对不同鱼类的精准分类,研究共采集110尾真实鱼类的三维模型,对获取的3D模型进行基于预处理、旋转增强和下采样等操作后,获取了1650尾实验样本。然后基于Point Transformer网络和2个三维分类的对比网络进行数据集的分类训练和验证... 为实现对不同鱼类的精准分类,研究共采集110尾真实鱼类的三维模型,对获取的3D模型进行基于预处理、旋转增强和下采样等操作后,获取了1650尾实验样本。然后基于Point Transformer网络和2个三维分类的对比网络进行数据集的分类训练和验证。结果表明,利用本实验的目标方法Point Transformer获得了比2个对比网络更好的分类结果,整体的分类准确率能够达到91.9%。同时对所使用的三维分类网络进行有效性评估,3个模型对于5种真实鱼类模型的分类是有意义的,其中Point Transformer的模型ROC曲线准确率最高,AUC面积最大,对于三维鱼类数据集的分类最为有效。研究提供了一种可以实现对鱼类三维模型进行精准分类的方法,为以后的智能化渔业资源监测提供一种新的技术手段。 展开更多
关键词 点云处理 point Transformer 三维模型 鱼类分类
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基于DI-PointNet的变电站主设备点云高精度语义分割方法
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作者 裴少通 孙海超 +2 位作者 孙志周 胡晨龙 祝雨馨 《电工技术学报》 北大核心 2025年第9期2917-2930,共14页
在变电站机器人巡检任务中,三维点云数据的高精度语义分割是关键技术之一,有助于机器人理解电力设备、障碍物和其他物体的空间布局。然而,现有的点云分割算法在变电站场景中的应用效果有限,准确度较低、计算复杂度高,难以实现对变电站... 在变电站机器人巡检任务中,三维点云数据的高精度语义分割是关键技术之一,有助于机器人理解电力设备、障碍物和其他物体的空间布局。然而,现有的点云分割算法在变电站场景中的应用效果有限,准确度较低、计算复杂度高,难以实现对变电站主设备点云的准确分割。为了解决这一问题,该文提出了一种基于PointNet++的DI-PointNet算法。首先,采用双层连续变换器模块增强点云之间的信息交互,有效地聚合长距离上下文,增大网络有效感受野;其次,通过分层键采样策略生成自注意力机制所需的键值,降低算法复杂度;最后,使用倒置残差模块,通过倒置瓶颈设计和残差连接缓解梯度消失,有效地增加模型的深度,同时降低计算复杂度。此外,该文构建了变电站点云数据集,对DI-PointNet算法进行详细的消融实验,并与主流深度学习算法和电力领域典型点云分割算法进行对比。实验验证结果表明,DI-PointNet算法对变电站主设备点云分割的平均交并比达到82.5%,相比PointNet++算法提高了2.1个百分点,且总体精度提高了3.4个百分点,达到90.1%。DI-PointNet算法为智能电力设备巡检和维护提供了有效的解决方案。 展开更多
关键词 点云语义分割 双层连续变换器 分层键采样 倒置残差 变电站
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Image Feature Extraction and Matching of Augmented Solar Images in Space Weather
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作者 WANG Rui BAO Lili CAI Yanxia 《空间科学学报》 CAS CSCD 北大核心 2023年第5期840-852,共13页
Augmented solar images were used to research the adaptability of four representative image extraction and matching algorithms in space weather domain.These include the scale-invariant feature transform algorithm,speed... Augmented solar images were used to research the adaptability of four representative image extraction and matching algorithms in space weather domain.These include the scale-invariant feature transform algorithm,speeded-up robust features algorithm,binary robust invariant scalable keypoints algorithm,and oriented fast and rotated brief algorithm.The performance of these algorithms was estimated in terms of matching accuracy,feature point richness,and running time.The experiment result showed that no algorithm achieved high accuracy while keeping low running time,and all algorithms are not suitable for image feature extraction and matching of augmented solar images.To solve this problem,an improved method was proposed by using two-frame matching to utilize the accuracy advantage of the scale-invariant feature transform algorithm and the speed advantage of the oriented fast and rotated brief algorithm.Furthermore,our method and the four representative algorithms were applied to augmented solar images.Our application experiments proved that our method achieved a similar high recognition rate to the scale-invariant feature transform algorithm which is significantly higher than other algorithms.Our method also obtained a similar low running time to the oriented fast and rotated brief algorithm,which is significantly lower than other algorithms. 展开更多
关键词 Augmented reality Augmented image Image feature point extraction and matching Space weather Solar image
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Data-driven prediction of dimensionless quantities for semi-infinite target penetration by integrating machine-learning and feature selection methods
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作者 Qingqing Chen Xinyu Zhang +2 位作者 Zhiyong Wang Jie Zhang Zhihua Wang 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第10期105-124,共20页
This study employs a data-driven methodology that embeds the principle of dimensional invariance into an artificial neural network to automatically identify dominant dimensionless quantities in the penetration of rod ... This study employs a data-driven methodology that embeds the principle of dimensional invariance into an artificial neural network to automatically identify dominant dimensionless quantities in the penetration of rod projectiles into semi-infinite metal targets from experimental measurements.The derived mathematical expressions of dimensionless quantities are simplified by the examination of the exponent matrix and coupling relationships between feature variables.As a physics-based dimension reduction methodology,this way reduces high-dimensional parameter spaces to descriptions involving only a few physically interpretable dimensionless quantities in penetrating cases.Then the relative importance of various dimensionless feature variables on the penetration efficiencies for four impacting conditions is evaluated through feature selection engineering.The results indicate that the selected critical dimensionless feature variables by this synergistic method,without referring to the complex theoretical equations and aiding in the detailed knowledge of penetration mechanics,are in accordance with those reported in the reference.Lastly,the determined dimensionless quantities can be efficiently applied to conduct semi-empirical analysis for the specific penetrating case,and the reliability of regression functions is validated. 展开更多
关键词 Data-driven dimensional analysis PENETRATION Semi-infinite metal target Dimensionless numbers feature selection
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基于GLDSC-ConvAutoformer模型的区域电动汽车短期充电负荷预测
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作者 李练兵 郭兴辰 +1 位作者 曾四鸣 梁纪峰 《太阳能学报》 北大核心 2025年第2期90-98,共9页
针对大规模电动汽车并网过程中对电网负荷产生波动的问题,电动汽车短期负荷预测可为电动汽车的优化调度提供决策依据。为更好地保证电网的稳定性与可靠性,提出一种电动汽车短期充电负荷预测方法,以提高负荷预测精度。首先,根据每个充电... 针对大规模电动汽车并网过程中对电网负荷产生波动的问题,电动汽车短期负荷预测可为电动汽车的优化调度提供决策依据。为更好地保证电网的稳定性与可靠性,提出一种电动汽车短期充电负荷预测方法,以提高负荷预测精度。首先,根据每个充电桩上电动汽车充电的时空差异,构建基于受限动态时间弯曲距离算法的灰关联度模型,将关联度矩阵作为谱聚类算法的度矩阵,构建灰色受限动态谱聚类算法,对所有电动汽车日充电负荷曲线进行聚类,使聚类数据有更好的周期性;其次,对聚类数据分别进行双重卷积化处理,将提取的数据特征分别输入到Autoformer,构建ConvAutoformer负荷预测模型,分别对所聚类结果进行负荷预测;最后,采用实际电动汽车充电桩充电负荷数据进行算例分析。实验结果表明,所提方法能有效提高电动汽车短期充电负荷预测准确度。 展开更多
关键词 电动汽车 特征提取 预测 受限动态时间弯曲距离 灰色受限动态谱聚类 ConvAutoformer
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Intelligent recognition and information extraction of radar complex jamming based on time-frequency features
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作者 PENG Ruihui WU Xingrui +3 位作者 WANG Guohong SUN Dianxing YANG Zhong LI Hongwen 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第5期1148-1166,共19页
In modern war,radar countermeasure is becoming increasingly fierce,and the enemy jamming time and pattern are changing more randomly.It is challenging for the radar to efficiently identify jamming and obtain precise p... In modern war,radar countermeasure is becoming increasingly fierce,and the enemy jamming time and pattern are changing more randomly.It is challenging for the radar to efficiently identify jamming and obtain precise parameter information,particularly in low signal-to-noise ratio(SNR)situations.In this paper,an approach to intelligent recognition and complex jamming parameter estimate based on joint time-frequency distribution features is proposed to address this challenging issue.Firstly,a joint algorithm based on YOLOv5 convolutional neural networks(CNNs)is proposed,which is used to achieve the jamming signal classification and preliminary parameter estimation.Furthermore,an accurate jamming key parameters estimation algorithm is constructed by comprehensively utilizing chi-square statistical test,feature region search,position regression,spectrum interpolation,etc.,which realizes the accurate estimation of jamming carrier frequency,relative delay,Doppler frequency shift,and other parameters.Finally,the approach has improved performance for complex jamming recognition and parameter estimation under low SNR,and the recognition rate can reach 98%under−15 dB SNR,according to simulation and real data verification results. 展开更多
关键词 complex jamming recognition time frequency feature convolutional neural network(CNN) parameter estimation
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