期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到2,291篇文章
< 1 2 … 115 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Path planning of unmanned surface vehicles based on improved particle swarm optimization algorithm with consideration of particle sight distance 认领 引用
1
作者 WANG Cheng YANG Junnan +3 位作者 ZHANG Xinyang QIAN Zhong ZHU Ye LIU Hong 《上海海事大学学报》 北大核心 2026年第1期9-19,共11页
To enhance the accuracy of path planning of unmanned surface vehicles(USVs),the particle swarm optimization algorithm(PSO)is improved based on species migration strategies observed in ecology.By incorporating the conc... To enhance the accuracy of path planning of unmanned surface vehicles(USVs),the particle swarm optimization algorithm(PSO)is improved based on species migration strategies observed in ecology.By incorporating the concept of particle sight distance,an improved algorithm,called SD-IPSO,is proposed for the real-time autonomous navigation of USVs in marine environments.The algorithm refines the individual behavior pattern of particles in the population,effectively improving both local and global search capabilities while avoiding premature convergence.The effectiveness of the algorithm is validated using standard test functions from CEC-2017 function library,assessing it from multiple dimensions.Sensitivity analysis is conducted on key parameters in the algorithm,including particle sight distance and population size.Results indicate that compared with PSO,SD-IPSO demonstrates significant advantages in optimization accuracy and convergence speed.The application of SD-IPSO in path planning is further investigated through a 14-point traveling salesman problem(TSP)example and navigation autonomous tests of USVs in marine environments.Findings demonstrate that the proposed algorithm exhibits superior optimization capabilities and can effectively address the path planning challenges of USVs. 展开更多
关键词 particle swarm optimization algorithm(PSO) sight distance unmanned surface vehicle(USV)
暂未订购 下载PDF
An Improved DV-Hop Localization Algorithm Based on Hop Distances Correction 认领 引用 被引量：10
2
作者 Guiqi Liu Zhihong Qian Xue Wang 《China Communications》 SCIE CSCD 2019年第6期200-214,共15页
DV-Hop localization algorithm has greater localization error which estimates distance from an unknown node to the different anchor nodes by using estimated average size of a hop to achieve the location of the unknown ... DV-Hop localization algorithm has greater localization error which estimates distance from an unknown node to the different anchor nodes by using estimated average size of a hop to achieve the location of the unknown node.So an improved DV-Hop localization algorithm based on correctional average size of a hop,HDCDV-Hop algorithm,is proposed.The improved algorithm corrects the estimated distance between the unknown node and different anchor nodes based on fractional hop count information and relatively accurate coordinates of the anchor nodes information,and it uses the improved Differential Evolution algorithm to get the estimate location of unknown nodes so as to further reduce the localization error.Simulation results show that our proposed algorithm have lower localization error and higher localization accuracy compared with the original DV-Hop algorithm and other classical improved algorithms. 展开更多
关键词 WSN DV-Hop localization algorithm Hop Distance Correction improved Differential Evolution algorithm
暂未订购 下载PDF
A Self-Organizing RBF Neural Network Based on Distance Concentration Immune Algorithm 认领 引用 被引量：6
3
作者 Junfei Qiao Fei Li +2 位作者 Cuili Yang Wenjing Li Ke Gu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2020年第1期276-291,共16页
Radial basis function neural network(RBFNN) is an effective algorithm in nonlinear system identification. How to properly adjust the structure and parameters of RBFNN is quite challenging. To solve this problem, a dis... Radial basis function neural network(RBFNN) is an effective algorithm in nonlinear system identification. How to properly adjust the structure and parameters of RBFNN is quite challenging. To solve this problem, a distance concentration immune algorithm(DCIA) is proposed to self-organize the structure and parameters of the RBFNN in this paper. First, the distance concentration algorithm, which increases the diversity of antibodies, is used to find the global optimal solution. Secondly,the information processing strength(IPS) algorithm is used to avoid the instability that is caused by the hidden layer with neurons split or deleted randomly. However, to improve the forecasting accuracy and reduce the computation time, a sample with the most frequent occurrence of maximum error is proposed to regulate the parameters of the new neuron. In addition, the convergence proof of a self-organizing RBF neural network based on distance concentration immune algorithm(DCIA-SORBFNN) is applied to guarantee the feasibility of algorithm. Finally, several nonlinear functions are used to validate the effectiveness of the algorithm. Experimental results show that the proposed DCIASORBFNN has achieved better nonlinear approximation ability than that of the art relevant competitors. 展开更多
关键词 Distance concentration immune algorithm(DCIA) information processing strength(IPS) radial basis function neural network(RBFNN)
暂未订购 下载PDF
Distance Control Algorithm for Automobile Automatic Obstacle Avoidance and Cruise System 认领 引用 被引量：3
4
作者 Jinguo Zhao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2018年第7期69-88,共20页
With the improvement of automobile ownership in recent years,the incidence of traffic accidents constantly increases and requirements on the security of automobiles become increasingly higher.As science and technology... With the improvement of automobile ownership in recent years,the incidence of traffic accidents constantly increases and requirements on the security of automobiles become increasingly higher.As science and technology develops constantly,the development of automobile automatic obstacle avoidance and cruise system accelerates gradually,and the requirement on distance control becomes stricter.Automobile automatic obstacle avoidance and cruise system can determine the conditions of automobiles and roads using sensing technology,automatically adopt measures to control automobile after discovering road safety hazards,thus to reduce the incidence of traffic accidents.To prevent accidental collision of automobile which are installed with automatic obstacle avoidance and cruise system,active brake should be controlled during driving.This study put forward a neural network based proportional-integral-derivative(PID)control algorithm.The active brake of automobiles was effectively controlled using the system to keep the distance between automobiles.Moreover the algorithm was tested using professional automobile simulation platform.The results demonstrated that neural network based PID control algorithm can precisely and efficiently control the distance between two cars.This work provides a reference for the development of automobile automatic obstacle avoidance and cruise system. 展开更多
关键词 Obstacle avoidance and cruise distance control automobile algorithm
暂未订购 下载PDF
Prediction-Based Distance Weighted Algorithm for Target Tracking in Binary Sensor Network 认领 引用
5
作者 SUN Xiaoyan LI Jiandong +1 位作者 CHEN Yanhui HUANG Pengyu 《China Communications》 SCIE 2010年第4期41-50,共10页
Binary sensor network(BSN) are becoming more attractive due to the low cost deployment,small size,low energy consumption and simple operation.There are two different ways for target tracking in BSN,the weighted algori... Binary sensor network(BSN) are becoming more attractive due to the low cost deployment,small size,low energy consumption and simple operation.There are two different ways for target tracking in BSN,the weighted algorithms and particle filtering algorithm.The weighted algorithms have good realtime property,however have poor estimation property and some of them does not suit for target’s variable velocity model.The particle filtering algorithm can estimate target's position more accurately with poor realtime property and is not suitable for target’s constant velocity model.In this paper distance weight is adopted to estimate the target’s position,which is different from the existing distance weight in other papers.On the analysis of principle of distance weight (DW),prediction-based distance weighted(PDW) algorithm for target tracking in BSN is proposed.Simulation results proved PDW fits for target's constant and variable velocity models with accurate estimation and good realtime property. 展开更多
关键词 Binary Sensor Network Weighted Algorithm Particle Filter Distance Weight Recursive Least Squre（RLS）
暂未订购 下载PDF
Interactive Liver Segmentation Algorithm Based on Geodesic Distance and V-Net 认领 引用 被引量：1
6
作者 Kang Jie Ding Jumin +2 位作者 Lei Tao Feng Shujie Liu Gang 《Journal of Shanghai Jiaotong university(Science)》 EI 2022年第2期190-201,共12页
Convolutional neural networks(CNNs)are prone to mis-segmenting image data of the liver when the background is complicated,which results in low segmentation accuracy and unsuitable results for clinical use.To address t... Convolutional neural networks(CNNs)are prone to mis-segmenting image data of the liver when the background is complicated,which results in low segmentation accuracy and unsuitable results for clinical use.To address this shortcoming,an interactive liver segmentation algorithm based on geodesic distance and V-net is proposed.The three-dimensional segmentation network V-net adequately considers the characteristics of the spatial context information to segment liver medical images and obtain preliminary segmentation results.An artificial algorithm based on geodesic distance is used to form artificial hard constraints to modify the image,and the superpixel piece created by the watershed algorithm is introduced as a sample point for operation,which significantly improves the efficiency of segmentation.Results from simulation of the liver tumor segmentation challenge(LiTS)dataset show that this algorithm can effectively refine the results of automatic liver segmentation,reduce user intervention,and enable a fast,interactive liver image segmentation that is convenient for doctors. 展开更多
关键词 geodesic distance interactive segmentation liver segmentation V-net watershed algorithm
暂未订购 下载PDF
Multiple targets vector miss distance measurement accuracy based on 2-D assignment algorithms 认领 引用 被引量：2
7
作者 Fang Bingyi Wu Siliang 《Journal of Systems Engineering and Electronics》 SCIE EI 2008年第1期76-80,共5页
An extension of 2-D assignment approach is proposed for measurement-to-target association for improving multiple targets vector miss distance measurement accuracy.When the multiple targets move so closely,the measurem... An extension of 2-D assignment approach is proposed for measurement-to-target association for improving multiple targets vector miss distance measurement accuracy.When the multiple targets move so closely,the measurements can not be fully resolved due to finite resolution.The proposed method adopts an auction algorithm to compute the feasible measurement-to-target assignment with unresolved measurements for solving this 2-D assignment problem.Computer simulation results demonstrate the effectiveness and feasibility of this method. 展开更多
关键词 miss distance 2-D assignment auction algorithm data association
暂未订购 下载PDF
An Algorithm for the Inverse Problem of Matrix Processing: DNA Chains, Their Distance Matrices and Reconstructing 认领 引用
8
作者 Boris F. Melnikov Ye Zhang Dmitrii Chaikovskii 《Journal of Biosciences and Medicines》 2023年第5期310-320,共11页
We continue to consider one of the cybernetic methods in biology related to the study of DNA chains. Exactly, we are considering the problem of reconstructing the distance matrix for DNA chains. Such a matrix is forme... We continue to consider one of the cybernetic methods in biology related to the study of DNA chains. Exactly, we are considering the problem of reconstructing the distance matrix for DNA chains. Such a matrix is formed on the basis of any of the possible algorithms for determining the distances between DNA chains, as well as any specific object of study. At the same time, for example, the practical programming results show that on an average modern computer, it takes about a day to build such a 30 × 30 matrix for mnDNAs using the Needleman-Wunsch algorithm;therefore, for such a 300 × 300 matrix, about 3 months of continuous computer operation is expected. Thus, even for a relatively small number of species, calculating the distance matrix on conventional computers is hardly feasible and the supercomputers are usually not available. Therefore, we started publishing our variants of the algorithms for calculating the distance between two DNA chains, then we publish algorithms for restoring partially filled matrices, i.e., the inverse problem of matrix processing. Previously, we used the method of branches and boundaries, but in this paper we propose to use another new algorithm for restoring the distance matrix for DNA chains. Our recent work has shown that even greater improvement in the quality of the algorithm can often be achieved without improving the auxiliary heuristics of the branches and boundaries method. Thus, we are improving the algorithms that formulate the greedy function of this method only. . 展开更多
关键词 DNA Chains Distance Matrix Optimization Problem Restoring Algorithm Greedy Algorithm Heuristics
暂未订购 下载PDF
Transmission Lines Distance Protection Using Differential Equation Algorithm and Hilbert-Huang Transform 认领 引用
9
作者 Xingmao Liu Zhengyou He 《Journal of Power and Energy Engineering》 2014年第4期616-623,共8页
This paper proposed the scheme of transmission lines distance protection based on differential equation algorithms (DEA) and Hilbert-Huang transform (HHT). The measured impedance based on EDA is affected by various fa... This paper proposed the scheme of transmission lines distance protection based on differential equation algorithms (DEA) and Hilbert-Huang transform (HHT). The measured impedance based on EDA is affected by various factors, such as the distributed capacitance, the transient response characteristics of current transformer and voltage transformer, etc. In order to overcome this problem, the proposed scheme applies HHT to improve the apparent impedance estimated by DEA. Empirical mode decomposition (EMD) is used to decompose the data set from DEA into the intrinsic mode functions (IMF) and the residue. This residue has monotonic trend and is used to evaluate the impedance of faulty line. Simulation results show that the proposed scheme improves significantly the accuracy of the estimated impedance. 展开更多
关键词 Hilbert-Huang Transform Differential Equation Algorithm Distance Protection Transmission Lines
暂未订购 下载PDF
Flight Trajectory Option Set Generation Based on Clustering Algorithms 认领 引用
10
作者 WANG Shijin SUN Min +1 位作者 LI Yinglin YANG Baotian 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2025年第6期767-788,共22页
Addressing the issue that flight plans between Chinese city pairs typically rely on a single route,lacking alternative paths and posing challenges in responding to emergencies,this study employs the“quantile-inflecti... Addressing the issue that flight plans between Chinese city pairs typically rely on a single route,lacking alternative paths and posing challenges in responding to emergencies,this study employs the“quantile-inflection point method”to analyze specific deviation trajectories,determine deviation thresholds,and identify commonly used deviation paths.By combining multiple similarity metrics,including Euclidean distance,Hausdorff distance,and sector edit distance,with the density-based spatial clustering of applications with noise(DBSCAN)algorithm,the study clusters deviation trajectories to construct a multi-option trajectory set for city pairs.A case study of 23578 flight trajectories between the Guangzhou airport cluster and the Shanghai airport cluster demonstrates the effectiveness of the proposed framework.Experimental results show that sector edit distance achieves superior clustering performance compared to Euclidean and Hausdorff distances,with higher silhouette coefficients and lower Davies⁃Bouldin indices,ensuring better intra-cluster compactness and inter-cluster separation.Based on clustering results,19 representative trajectory options are identified,covering both nominal and deviation paths,which significantly enhance route diversity and reflect actual flight practices.This provides a practical basis for optimizing flight paths and scheduling,enhancing the flexibility of route selection for flights between city pairs. 展开更多
关键词 flight trajectory clustering trajectory option set sector edit distance density-based spatial clustering of applications with noise(DBSCAN)algorithm deviation trajectories
暂未订购 下载PDF
Distance function selection in several clustering algorithms 认领 引用
11
作者 LUYu 《Journal of Chongqing University》 2004年第1期47-50,共4页
Most clustering algorithms need to describe the similarity of objects by a predefined distance function. Three distance functions which are widely used in two traditional clustering algorithms k-means and hierarchical... Most clustering algorithms need to describe the similarity of objects by a predefined distance function. Three distance functions which are widely used in two traditional clustering algorithms k-means and hierarchical clustering were investigated. Both theoretical analysis and detailed experimental results were given. It is shown that a distance function greatly affects clustering results and can be used to detect the outlier of a cluster by the comparison of such different results and give the shape information of clusters. In practice situation, it is suggested to use different distance function separately, compare the clustering results and pick out the 搒wing points? And such points may leak out more information for data analysts. 展开更多
关键词 distance function clustering algorithms k-means dendrogram data mining
暂未订购 下载PDF
基于负荷可行域和可靠性跟踪的电力系统扩容规划及其求解算法 认领 引用 被引量：2
12
作者 李轩 谢开贵 +1 位作者 邵常政 胡博 《上海交通大学学报》 EI CAS CSCD 北大核心 2026年第2期200-210,I0003,共11页
电力系统可靠性评估计算复杂度高,难以嵌入电力系统扩容规划模型中.为了实现考虑可靠性的系统扩容规划,提出一种基于负荷可行域和可靠性跟踪的电力系统扩容规划模型及其求解算法.建立基于负荷可行域的近似距离模型,将可靠性评估中的切... 电力系统可靠性评估计算复杂度高,难以嵌入电力系统扩容规划模型中.为了实现考虑可靠性的系统扩容规划,提出一种基于负荷可行域和可靠性跟踪的电力系统扩容规划模型及其求解算法.建立基于负荷可行域的近似距离模型,将可靠性评估中的切负荷计算从优化问题求解转变为方程求解,降低可靠性评估计算复杂度.基于近似距离模型,建立可靠性指标对设备容量的灵敏度模型,实现针对设备容量的可靠性跟踪.最后提出以可靠性提升为目标的电力系统扩容规划模型,以及基于可靠性跟踪和贪心算法的优化求解算法.结果表明:近似距离模型能够有效降低可靠性评估的计算复杂度;灵敏度模型能够正确反映设备容量变化对系统可靠性的影响;扩容规划模型及求解算法能够达到最优的系统扩容规划结果. 展开更多
关键词 扩容规划 可靠性跟踪 负荷可行域 近似距离模型 贪心算法
暂未订购 下载PDF
基于激光雷达点云的公路二维视距检测技术 认领 引用 被引量：1
13
作者 张韡 刘涛 +2 位作者 李永 蒋磊 陈涛 《应用激光》 CSCD 北大核心 2026年第2期132-139,共8页
为实现快速、准确、自动化的公路视距检测,基于激光雷达点云提出一种将公路边界量化为视距的方法。首先,对原始点云进行纵向滤波和垂向滤波以减少点云数量,再利用随机抽样一致性算法(RANSAC算法)分别提取高度阈值为0.2 m和1.2 m的平面,... 为实现快速、准确、自动化的公路视距检测,基于激光雷达点云提出一种将公路边界量化为视距的方法。首先,对原始点云进行纵向滤波和垂向滤波以减少点云数量,再利用随机抽样一致性算法(RANSAC算法)分别提取高度阈值为0.2 m和1.2 m的平面,将二者作差得到粗略的公路边界。其次,将粗略的公路边界投影至XOY平面后分割为左右两个边界,并采用散点轮廓算法(Alpha-Shapes算法)分别提取其边界轮廓,再结合边界轮廓的位置关系得到精准的公路边界线。再次,基于弯道线形组成规律采用最小二乘法对精准的公路边界线进行拟合,并利用曲线积分求解边界长度。最后,建立公路视距检测模型并通过实车试验验证模型的准确性。结果表明:公路视距检测模型求解的视距与实测视距相比较,绝对误差范围为0.68~2.92 m,相对误差范围为2.48%~5.49%,且误差随实测视距的减小而减小,模型准确性较高,具有实际工程应用价值。 展开更多
关键词 公路视距检测 激光雷达点云 随机一致性算法 散点轮廓算法 最小二乘法
暂未订购 下载PDF
改进YOLOv7算法及其油田生产违规行为检测 认领 引用 被引量：1
14
作者 任伟建 李虞龙 +3 位作者 康朝海 霍凤财 任璐 张永丰 《计算机技术与发展》 2026年第1期156-161,共6页
针对油田现场监控中摄像头安装高度较高、目标体积较小导致检测难度大的问题,该文提出了一种改进的YOLOv7目标检测算法。首先,在网络结构中引入GD融合机制,通过高效的信息聚合策略,动态整合来自不同层级的特征图信息,从而增强模型对多... 针对油田现场监控中摄像头安装高度较高、目标体积较小导致检测难度大的问题,该文提出了一种改进的YOLOv7目标检测算法。首先,在网络结构中引入GD融合机制,通过高效的信息聚合策略,动态整合来自不同层级的特征图信息,从而增强模型对多尺度目标,尤其是小目标的检测能力。其次,加入Biformer模块,利用其双分支路由注意力机制从全局视角分析特征间的相关性,有效过滤背景干扰和冗余特征,提升模型对关键目标区域的关注度,同时结合注意力稀疏化策略降低冗余计算,兼顾检测精度与计算效率。最后,将传统的IoU损失替换为ICoU-NWD损失函数,引入Wasserstein距离作为边界框之间的度量方式,使边界框预测更准确,尤其在面对尺度变化较大的目标时更具鲁棒性。实验结果表明,改进模型在典型油田场景下的mAP达到97.0%,比原始YOLOv7提升了7.2%;在提升检测准确率和特征表达能力的同时,参数量仅增加12.1%,计算量仅上升3.7%,适合部署在边缘计算设备上,满足复杂环境下的智能检测需求。 展开更多
关键词 改进YOLOv7算法 小目标检测 GD融合机制 Biformer Wasserstein距离 ICoU-NWD
暂未订购 下载PDF
基于改进TimeGAN数据增强的用户窃电识别研究 认领 引用 被引量：1
15
作者 吴佐平 王宏岩 +1 位作者 张千福 谢青 《电气传动》 2026年第1期75-81,共7页
用户窃电是电网电能非技术损失的主要原因,对电力系统造成了巨大的经济损失和资源浪费。相较于大量用户正常用电样本,窃电用户属于少数类样本,而传统窃电分类方法在样本稀疏或失衡情况下表现不佳。由此,提出一种基于改进时间序列生成对... 用户窃电是电网电能非技术损失的主要原因,对电力系统造成了巨大的经济损失和资源浪费。相较于大量用户正常用电样本,窃电用户属于少数类样本,而传统窃电分类方法在样本稀疏或失衡情况下表现不佳。由此,提出一种基于改进时间序列生成对抗网络(TimeGAN)数据增强的用户窃电分类方法,使用TimeGAN对原始小样本窃电数据进行增强,生成与原始数据分布相似的增广样本,考虑到增广样本存在噪声或不可信等问题,利用马氏距离评估增广样本的质量,完成不可信样本剔除。通过卷积神经网络(CNN)对数据增强后的用电负荷数据进行特征提取,采用长短时记忆网络(LSTM)提取特征量的时序相关性并完成特征分类,进一步,利用麻雀搜索算法(SSA)对CNN-LSTM网络进行参数优化,提高模型检测精度。实验结果表明,所提方法可有效解决用户窃电行为识别中样本不平衡的二分类问题。 展开更多
关键词 TimeGAN模型 马氏距离 麻雀搜索算法(SSA) 窃电识别
暂未订购 下载PDF
基于改进SGBM算法的架空线缆视觉测距系统 认领 引用 被引量：1
16
作者 刘秀婷 高峰 《实验技术与管理》 CAS 北大核心 2026年第5期185-193,共9页
为了防止工程机械作业时触碰架空输电线缆导致安全事故,该文研制了面向架空线缆安全预警的双目视觉测距系统,基于改进半全局立体匹配(semi global block matching,SGBM)算法提高了双目相机的图像立体匹配精度。该系统可同时测量电缆多... 为了防止工程机械作业时触碰架空输电线缆导致安全事故,该文研制了面向架空线缆安全预警的双目视觉测距系统,基于改进半全局立体匹配(semi global block matching,SGBM)算法提高了双目相机的图像立体匹配精度。该系统可同时测量电缆多点距离,并以测距最小值作为有效测距值,通过与安全阈值距离的比较判断是否预警。结果表明,改进的SGBM算法的图像处理时间为23.528ms,整体错误率和非遮挡错误率分别为2.89%和2.36%,能在兼顾运行效率的前提下提升图像立体匹配度、提升线缆成像质量。应用改进SGBM算法的线缆视觉测距系统有较好的测量精度和稳定性,其测距相对误差最大值不超过3%,能够满足实际环境下的性能要求。 展开更多
关键词 架空输电线缆 测距预警系统 双目立体视觉 改进SGBM算法
暂未订购 下载PDF
基于改进垂距限差法的无人机地理围栏简化算法 认领 引用
17
作者 付其喜 邱时代 +2 位作者 齐铎 王泽坤 李晓航 《兵器装备工程学报》 CAS CSCD 北大核心 2026年第7期208-215,共8页
无人机(unmanned aircraft system,UAS)地理围栏是无人机交通管理系统(UAS traffic management system,UTM)的重要组成部分。为实现地理围栏边界的精准高效表达,提出一种基于改进垂距限差法的地理围栏简化算法。考虑到地理围栏的几何特... 无人机(unmanned aircraft system,UAS)地理围栏是无人机交通管理系统(UAS traffic management system,UTM)的重要组成部分。为实现地理围栏边界的精准高效表达,提出一种基于改进垂距限差法的地理围栏简化算法。考虑到地理围栏的几何特性,将地理围栏简化归类为线简化问题,以点移除安全性检测算法为点移除操作安全性的判断依据,提出基于垂距限差法、临近点算法和Opheim算法设计的地理围栏简化算法。对3种算法仿真并进行定量定性评估,分析各算法的优缺点,发现垂距限差法的简化程度高、计算时间短,综合效果更优,但存在空间过度浪费的可能。对此,通过对垂距限差法简化后的地理围栏进行边界延伸以形成新的顶点,进而提出改进垂距限差法地理围栏简化算法;经算法仿真和定量定性评估,验证所提算法可以在未明显增加算法运行时间的同时,有效提高了空间效率,能够为UTM的实时管控提供技术支撑。 展开更多
关键词 地理围栏 无人机 垂距限差法 点移除安全性检测 延伸
暂未订购 下载PDF
基于HHO-SVMD的激光超声信号去噪 认领 引用
18
作者 毛星 王晓晨 +1 位作者 杨荃 李京栋 《东北大学学报（自然科学版）》 EI CAS CSCD 北大核心 2026年第6期164-172,共9页
在工业现场应用中,激光超声信号回波容易被周围的环境噪声淹没,如何在超声信号处理过程中保留微弱的超声信号,针对这一问题,提出了一种基于哈里斯鹰优化(HHO)算法与逐次变分模态分解(SVMD)相结合的激光超声波信号去噪方法HHO-SVMD.首先... 在工业现场应用中,激光超声信号回波容易被周围的环境噪声淹没,如何在超声信号处理过程中保留微弱的超声信号,针对这一问题,提出了一种基于哈里斯鹰优化(HHO)算法与逐次变分模态分解(SVMD)相结合的激光超声波信号去噪方法HHO-SVMD.首先,采用HHO算法对SVMD的关键参数进行优化,从而避免因人为设定参数而导致的噪声分离不充分问题;其次,在信号重构阶段引入巴氏距离作为判据,准确筛选与激光超声信号高度相关的模态分量,从而获得更加纯净的激光超声信号.仿真和实验结果表明,与其他几种现有的去噪方法相比,所提出的方法在保留有效信号的同时,使去噪后信号具有更高的信噪比及更小的均方根误差. 展开更多
关键词 激光超声 信号去噪 逐次变分模态分解 巴氏距离 哈里斯鹰优化算法
暂未订购 下载PDF
差分气压测高系统精度影响因素分析及优化方法研究 认领 引用
19
作者 王生亮 葛占东 +4 位作者 熊威 张士澳 肖恭伟 李雨晴 李垚 《导航定位与授时》 CSCD 2026年第2期81-92,共12页
为提高差分气压测高(DBA)系统的精度并拓展其应用场景,系统分析了测量误差、温度、湿度、风速及基线距离对DBA精度的影响。基于BMP280气压传感器构建DBA系统,结合基准站与移动站的双气压传感设计,通过静态与动态实验验证了系统偏差校正... 为提高差分气压测高(DBA)系统的精度并拓展其应用场景,系统分析了测量误差、温度、湿度、风速及基线距离对DBA精度的影响。基于BMP280气压传感器构建DBA系统,结合基准站与移动站的双气压传感设计,通过静态与动态实验验证了系统偏差校正及卡尔曼滤波、低通滤波等信号处理方法的有效性。结果表明:DBA系统的室内静态高程均方根(RMS)值优于0.5 m,动态楼层RMS值优于0.8 m,满足室内导航需求。气压测量误差对DBA精度的影响最大,温度差异导致高程误差可达8 m,湿度突变引发高程误差约7 m,而风速影响高程误差仅约2 m。基线距离与精度呈负相关,在5 km内RMS值优于1 m,12 km内RMS值优于2 m,20 km时RMS值增至3 m。通过传感器标定和滤波优化,DBA系统在短基线场景下具备高可靠性与实用性,可为室内外多源融合定位及高精度导航提供技术支撑。 展开更多
关键词 差分气压测高 测量误差 BMP280气压传感器 基线距离 滤波算法
暂未订购 下载PDF
Hashgraph共识算法研究与优化 认领 引用
20
作者 王迪 曹广平 雷航 《计算机工程与设计》 北大核心 2026年第1期113-119,共7页
针对Hashgraph共识过程中事件接受延迟高、共识率低的问题,提出一种基于贪心Gossip策略的Hashgraph共识算法,使哈希图中新创建的事件尽可能多的可见和强可见祖先事件,加快轮次的提升与事件的接受。实验结果表明,该算法在相同轮次下所需... 针对Hashgraph共识过程中事件接受延迟高、共识率低的问题,提出一种基于贪心Gossip策略的Hashgraph共识算法,使哈希图中新创建的事件尽可能多的可见和强可见祖先事件,加快轮次的提升与事件的接受。实验结果表明,该算法在相同轮次下所需事件数与事件被接受所需轮次数均少于Hashgraph,共识率与吞吐量均优于Hashgraph,且共识率波动更小,同时保持了与原有算法几乎一致的安全性和计算开销。 展开更多
关键词 哈希图 共识算法 虚拟投票 强可见 有向无环图 见证者 汉明距离
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 115 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈