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3D numerical manifold method for crack propagation in rock materials using a local tracking algorithm 认领 引用 被引量：1
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作者 Boyi Su Tao Xu +3 位作者 Genhua Shi Michael J.Heap Xianyang Yu Guanglei Zhou 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第6期3449-3463,共15页
The modeling of crack growth in three-dimensional(3D)space poses significant challenges in rock mechanics due to the complex numerical computation involved in simulating crack propagation and interaction in rock mater... The modeling of crack growth in three-dimensional(3D)space poses significant challenges in rock mechanics due to the complex numerical computation involved in simulating crack propagation and interaction in rock materials.In this study,we present a novel approach that introduces a 3D numerical manifold method(3D-NMM)with a geometric kernel to enhance computational efficiency.Specifically,the maximum tensile stress criterion is adopted as a crack growth criterion to achieve strong discontinuous crack growth,and a local crack tracking algorithm and an angle correction technique are incorporated to address minor limitations of the algorithm in a 3D model.The implementation of the program is carried out in Python,using object-oriented programming in two independent modules:a calculation module and a crack module.Furthermore,we propose feasible improvements to enhance the performance of the algorithm.Finally,we demonstrate the feasibility and effectiveness of the enhanced algorithm in the 3D-NMM using four numerical examples.This study establishes the potential of the 3DNMM,combined with the local tracking algorithm,for accurately modeling 3D crack propagation in brittle rock materials. 展开更多
关键词 3D numerical manifold method(3D NMM) Crack propagation Local tracking algorithm Brittle materials
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A tracking algorithm based on adaptive Kalman filter with carrier-to-noise ratio estimation under solar radio bursts interference 认领 引用
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作者 ZHU Xuefen LI Ang +2 位作者 LUO Yimei LIN Mengying TU Gangyi 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2025年第4期880-891,共12页
Solar radio burst(SRB)is one of the main natural interference sources of Global Positioning System(GPS)signals and can reduce the signal-to-noise ratio(SNR),directly affecting the tracking performance of GPS receivers... Solar radio burst(SRB)is one of the main natural interference sources of Global Positioning System(GPS)signals and can reduce the signal-to-noise ratio(SNR),directly affecting the tracking performance of GPS receivers.In this paper,a tracking algorithm based on the adaptive Kalman filter(AKF)with carrier-to-noise ratio estimation is proposed and compared with the conventional second-order phase-locked loop tracking algo-rithms and the improved Sage-Husa adaptive Kalman filter(SHAKF)algorithm.It is discovered that when the SRBs occur,the improved SHAKF and the AKF with carrier-to-noise ratio estimation enable stable tracking to loop signals.The conven-tional second-order phase-locked loop tracking algorithms fail to track the receiver signal.The standard deviation of the carrier phase error of the AKF with carrier-to-noise ratio estimation out-performs 50.51%of the improved SHAKF algorithm,showing less fluctuation and better stability.The proposed algorithm is proven to show more excellent adaptability in the severe envi-ronment caused by the SRB occurrence and has better tracking performance. 展开更多
关键词 solar radio burst(SRB) global positioning system(GPS) adaptive Kalman filter(AKF) tracking algorithm.
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An Eulerian-Lagrangian parallel algorithm for simulation of particle-laden turbulent flows 认领 引用 被引量：1
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作者 Harshal P.Mahamure Deekshith I.Poojary +1 位作者 Vagesh D.Narasimhamurthy Lihao Zhao 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第1期15-34,共20页
This paper presents an Eulerian-Lagrangian algorithm for direct numerical simulation(DNS)of particle-laden flows.The algorithm is applicable to perform simulations of dilute suspensions of small inertial particles in ... This paper presents an Eulerian-Lagrangian algorithm for direct numerical simulation(DNS)of particle-laden flows.The algorithm is applicable to perform simulations of dilute suspensions of small inertial particles in turbulent carrier flow.The Eulerian framework numerically resolves turbulent carrier flow using a parallelized,finite-volume DNS solver on a staggered Cartesian grid.Particles are tracked using a point-particle method utilizing a Lagrangian particle tracking(LPT)algorithm.The proposed Eulerian-Lagrangian algorithm is validated using an inertial particle-laden turbulent channel flow for different Stokes number cases.The particle concentration profiles and higher-order statistics of the carrier and dispersed phases agree well with the benchmark results.We investigated the effect of fluid velocity interpolation and numerical integration schemes of particle tracking algorithms on particle dispersion statistics.The suitability of fluid velocity interpolation schemes for predicting the particle dispersion statistics is discussed in the framework of the particle tracking algorithm coupled to the finite-volume solver.In addition,we present parallelization strategies implemented in the algorithm and evaluate their parallel performance. 展开更多
关键词 DNS Eulerian-Lagrangian Particle tracking algorithm Point-particle Parallel software
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基于DeepSORT和ByteTrack的多目标跟踪研究 认领 引用
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作者 吕兴振 《计算机应用文摘》 2026年第11期97-99,103,共3页
针对动态环境下多目标跟踪鲁棒性不足、目标易丢失等问题,文章对比研究了两种多目标跟踪算法(DeepSORT与ByteTrack).首先,分析了高密度目标交互、频繁遮挡及复杂背景条件下多目标跟踪面临的主要问题;其次,介绍了DeepSORT和ByteTrack的... 针对动态环境下多目标跟踪鲁棒性不足、目标易丢失等问题,文章对比研究了两种多目标跟踪算法(DeepSORT与ByteTrack).首先,分析了高密度目标交互、频繁遮挡及复杂背景条件下多目标跟踪面临的主要问题;其次,介绍了DeepSORT和ByteTrack的基本原理及实验数据;再次,基于MOT16与MOT17公开数据集开展实验,并采用多目标跟踪准确率(MOTA)、多目标跟踪精度(MOTP)及身份识别准确率(IDF1)等指标对算法性能进行评价.实验结果表明,两种算法均具有较好的跟踪性能,在测试集上实现了MOTA>75%,MOTP>90%和IDF1>80%的目标. 展开更多
关键词 DeepSORT ByteTrack 多目标跟踪 目标关联算法
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Monocular Visual SLAM for Markerless Tracking Algorithm to Augmented Reality 认领 引用 被引量：1
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作者 Tingting Yang Shuwen Jia +1 位作者 Ying Yu Zhiyong Sui 《Intelligent Automation & Soft Computing》 SCIE 2023年第2期1691-1704,共14页
Augmented Reality(AR)tries to seamlessly integrate virtual content into the real world of the user.Ideally,the virtual content would behave exactly like real objects.This necessitates a correct and precise estimation ... Augmented Reality(AR)tries to seamlessly integrate virtual content into the real world of the user.Ideally,the virtual content would behave exactly like real objects.This necessitates a correct and precise estimation of the user’s viewpoint(or that of a camera)with regard to the virtual content’s coordinate sys-tem.Therefore,the real-time establishment of 3-dimension(3D)maps in real scenes is particularly important for augmented reality technology.So in this paper,we integrate Simultaneous Localization and Mapping(SLAM)technology into augmented reality.Our research is to implement an augmented reality system without markers using the ORB-SLAM2 framework algorithm.In this paper we propose an improved method for Oriented FAST and Rotated BRIEF(ORB)feature extraction and optimized key frame selection,as well as the use of the Progressive Sample Consensus(PROSAC)algorithm for planar estimation of augmented reality implementations,thus solving the problem of increased sys-tem runtime because of the loss of large amounts of texture information in images.In this paper,we get better results by comparing experiments and data analysis.However,there are some improved methods of PROSAC algorithm which are more suitable for the detection of plane feature points. 展开更多
关键词 Markerless tracking algorithm ORB-SLAM2 framework algorithm augmented reality
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Weighted adaptive filtering algorithm for carrier tracking of deep space signal 认领 引用 被引量：9
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作者 Song Qingping Liu Rongke 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2015年第4期1236-1244,共9页
Carrier tracking is laid great emphasis and is the difficulty of signal processing in deep space communication system.For the autonomous radio receiving system in deep space, the tracking of the received signal is aut... Carrier tracking is laid great emphasis and is the difficulty of signal processing in deep space communication system.For the autonomous radio receiving system in deep space, the tracking of the received signal is automatic when the signal to noise ratio（SNR） is unknown.If the frequency-locked loop（FLL） or the phase-locked loop（PLL） with fixed loop bandwidth, or Kalman filter with fixed noise variance is adopted, the accretion of estimation error and filter divergence may be caused.Therefore, the Kalman filter algorithm with adaptive capability is adopted to suppress filter divergence.Through analyzing the inadequacies of Sage–Husa adaptive filtering algorithm, this paper introduces a weighted adaptive filtering algorithm for autonomous radio.The introduced algorithm may resolve the defect of Sage–Husa adaptive filtering algorithm that the noise covariance matrix is negative definite in filtering process.In addition, the upper diagonal（UD） factorization and innovation adaptive control are used to reduce model estimation errors,suppress filter divergence and improve filtering accuracy.The simulation results indicate that compared with the Sage–Husa adaptive filtering algorithm, this algorithm has better capability to adapt to the loop, convergence performance and tracking accuracy, which contributes to the effective and accurate carrier tracking in low SNR environment, showing a better application prospect. 展开更多
关键词 Adaptive algorithms Carrier tracking Deep space communicationKalman filters Tracking accuracy Weighted
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AN IMPROVED SPARSITY ADAPTIVE MATCHING PURSUIT ALGORITHM FOR COMPRESSIVE SENSING BASED ON REGULARIZED BACKTRACKING 认领 引用 被引量：3
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作者 Zhao Ruizhen Ren Xiaoxin +1 位作者 Han Xuelian Hu Shaohai 《Journal of Electronics(China)》 2012年第6期580-584,共5页
Sparsity Adaptive Matching Pursuit (SAMP) algorithm is a widely used reconstruction algorithm for compressive sensing in the case that the sparsity is unknown. In order to match the sparsity more accurately, we presen... Sparsity Adaptive Matching Pursuit (SAMP) algorithm is a widely used reconstruction algorithm for compressive sensing in the case that the sparsity is unknown. In order to match the sparsity more accurately, we presented an improved SAMP algorithm based on Regularized Backtracking (SAMP-RB). By adapting a regularized backtracking step to SAMP algorithm in each iteration stage, the proposed algorithm can flexibly remove the inappropriate atoms. The experimental results show that SAMP-RB reconstruction algorithm greatly improves SAMP algorithm both in reconstruction quality and computational time. It has better reconstruction efficiency than most of the available matching pursuit algorithms. 展开更多
关键词 Compressive sensing Reconstruction algorithm Sparsity adaptive Regularized back-tracking
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Improved chirp scaling algorithm integrated motion compensation for parallel-track bistatic synthetic aperture radar 认领 引用
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作者 齐春东 曾涛 李枫 《Journal of Beijing Institute of Technology》 EI CAS 2011年第4期536-539,共4页
To compensate motion errors of images from the parallel-track bistatic synthetic aperture radar（BiSAR）,an improved chirp scaling algorithm（CSA） is proposed.Since velocity vector of the moving aircrafts in the para... To compensate motion errors of images from the parallel-track bistatic synthetic aperture radar（BiSAR）,an improved chirp scaling algorithm（CSA） is proposed.Since velocity vector of the moving aircrafts in the parallel-track BiSAR system can not remain invariant in an aperture,an actual aperture is divided into subapertures so that it is reasonable to assume that the aircrafts move with constant acceleration vector in a subaperture.Based on this model,an improved CSA is derived.The new phase factors incorporate three-dimensional acceleration and velocity.The motion compensation procedure is integrated into the CSA without additional operation required.The simulation results show that the presented algorithm can efficiently resolve motion compensation for parallel-track BiSAR. 展开更多
关键词 chirp scaling algorithm parallel-track bistatic synthetic aperture radar motion compensation
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Multi-Deme Parallel FGAs-Based Algorithm for Multitarget Tracking 认领 引用 被引量：1
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作者 刘虎 朱力立 张焕春 《Journal of Electronic Science and Technology of China》 2006年第1期12-17,共6页
For data association in multisensor and multitarget tracking, a novel parallel algorithm is developed to improve the efficiency and real-time performance of FGAs-based algorithm. One Cluster of Workstation （COW） wit... For data association in multisensor and multitarget tracking, a novel parallel algorithm is developed to improve the efficiency and real-time performance of FGAs-based algorithm. One Cluster of Workstation （COW） with Message Passing Interface （MPI） is built. The proposed Multi-Deme Parallel FGA （MDPFGA） is run on the platform. A serial of special MDPFGAs are used to determine the static and the dynamic solutions of generalized m-best S-D assignment problem respectively, as well as target states estimation in track management. Such an assignment-based parallel algorithm is demonstrated on simulated passive sensor track formation and maintenance problem. While illustrating the feasibility of the proposed algorithm in multisensor multitarget tracking, simulation results indicate that the MDPFGAs-based algorithm has greater efficiency and speed than the FGAs-based algorithm. 展开更多
关键词 multitarget tracking multi-deme Fuzzy Genetic Algorithm （FGA） parallelization Message Passing Interface （MPI）
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Adaptive tracking algorithm based on 3D variable turn model 认领 引用 被引量：1
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作者 Xiaohua Nie Fuming Zhang 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2017年第5期851-860,共10页
Satisfactory results cannot be obtained when three-dimensional (3D) targets with complex maneuvering characteristics are tracked by the commonly used two-dimensional coordinated turn (2DCT) model. To address the probl... Satisfactory results cannot be obtained when three-dimensional (3D) targets with complex maneuvering characteristics are tracked by the commonly used two-dimensional coordinated turn (2DCT) model. To address the problem of 3D target tracking with strong maneuverability, on the basis of the modified three-dimensional variable turn (3DVT) model, an adaptive tracking algorithm is proposed by combining with the cubature Kalman filter (CKF) in this paper. Through ideology of real-time identification, the parameters of the model are changed to adjust the state transition matrix and the state noise covariance matrix. Therefore, states of the target are matched in real-time to achieve the purpose of adaptive tracking. Finally, four simulations are analyzed in different settings by the Monte Carlo method. All results show that the proposed algorithm can update parameters of the model and identify motion characteristics in real-time when targets tracking also has a better tracking accuracy. 展开更多
关键词 maneuvering target tracking adaptive tracking algorithm modified three-dimensional variable turn (3DVT) model cubature Kalman filter (CKF)
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Maximum Power Point Tracking Using the Incremental Conductance Algorithm for PV Systems Operating in Rapidly Changing Environmental Conditions 认领 引用 被引量：1
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作者 Derek Ajesam Asoh Brice Damien Noumsi Edwin Nyuysever Mbinkar 《Smart Grid and Renewable Energy》 2022年第5期89-108,共20页
Maximum Power Point Tracking (MPPT) is an important process in Photovoltaic (PV) systems because of the need to extract maximum power from PV panels used in these systems. Without the ability to track and have PV pane... Maximum Power Point Tracking (MPPT) is an important process in Photovoltaic (PV) systems because of the need to extract maximum power from PV panels used in these systems. Without the ability to track and have PV panels operate at its maximum power point (MPP) entails power losses;resulting in high cost since more panels will be required to provide specified energy needs. To achieve high efficiency and low cost, MPPT has therefore become an imperative in PV systems. In this study, an MPP tracker is modeled using the IC algorithm and its behavior under rapidly changing environmental conditions of temperature and irradiation levels is investigated. This algorithm, based on knowledge of the variation of the conductance of PV cells and the operating point with respect to the voltage and current of the panel calculates the slope of the power characteristics to determine the MPP as the peak of the curve. A simple circuit model of the DC-DC boost converter connected to a PV panel is used in the simulation;and the output of the boost converter is fed through a 3-phase inverter to an electricity grid. The model was simulated and tested using MATLAB/Simulink. Simulation results show the effectiveness of the IC algorithm for tracking the MPP in PV systems operating under rapidly changing temperatures and irradiations with a settling time of 2 seconds. 展开更多
关键词 Modeling Simulation PV System Maximum Power Point Tracking (MPPT) Incremental Conductance Algorithm MATLAB/Simulink
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基于ByteTrack的林下复杂环境中树干多目标跟踪研究 认领 引用
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作者 王耀宗 黄建平 《现代信息科技》 2025年第14期32-36,共5页
在森林复杂环境中,目标追踪任务面临着严峻挑战,尤其是在树干追踪等任务中,遮挡和密集目标现象尤为突出。针对森林中复杂遮挡和密集追踪目标环境导致树干追踪任务出现目标丢失和ID切换的问题,文章在ByteTrack算法基础上进行改进:在匹配... 在森林复杂环境中,目标追踪任务面临着严峻挑战,尤其是在树干追踪等任务中,遮挡和密集目标现象尤为突出。针对森林中复杂遮挡和密集追踪目标环境导致树干追踪任务出现目标丢失和ID切换的问题,文章在ByteTrack算法基础上进行改进:在匹配过程中引入外观模型与运动模型相结合的方式,有效降低了目标ID的切换次数;同时更换了更适用于遮挡环境的IoU度量方法,进而提高了算法在林下复杂环境中对遮挡情况的适应力和对密集目标的追踪性能。 展开更多
关键词 目标跟踪 算法优化 深度学习 外观模型匹配
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A Graphic Algorithm of"Track" Effect in 3D Games 认领 引用
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作者 ZHANGPeng 《International English Education Research》 2017年第1期55-56,共2页
In 3D games, a lot of weapons in the movement will drag a ＂follow the shadow＂ effect, which is called the ＂track＂. In this paper, we first analyze the change rule of the ＂track＂, and then put forward a kind of a... In 3D games, a lot of weapons in the movement will drag a ＂follow the shadow＂ effect, which is called the ＂track＂. In this paper, we first analyze the change rule of the ＂track＂, and then put forward a kind of algorithm to realize the ＂track＂. The calculation of this algorithm is small, but the effect is very real, has been successfully applied to a variety of 3D games. 展开更多
关键词 Track, Graphic algorithm 3D games
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基于手动换挡拖拉机无人驾驶改装及试验 认领 引用 被引量：2
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作者 张俊杰 马志凯 +4 位作者 么立申 袁兴茂 张西群 李霄鹤 焦海涛 《农机化研究》 北大核心 2026年第7期253-259,共7页
针对农村传统动力变挡拖拉机保有量大、农机老龄化程度高等问题,结合信息化技术、传感器技术、人工智能技术快速发展的现状,以东方红LX1504型动力换挡拖拉机为研究对象,设计了一套拖拉机无人驾驶控制系统,可实现拖拉机的无人驾驶、路径... 针对农村传统动力变挡拖拉机保有量大、农机老龄化程度高等问题,结合信息化技术、传感器技术、人工智能技术快速发展的现状,以东方红LX1504型动力换挡拖拉机为研究对象,设计了一套拖拉机无人驾驶控制系统,可实现拖拉机的无人驾驶、路径规划、智能避障和自主掉头等功能。阐述了无人驾驶控制系统的工作原理,重点对无人驾驶拖拉机的离合器、制动器、悬挂升降器和方向盘等硬件执行机构进行了改装,增设了轮胎的角度传感器,并对追踪控制器的控制算法进行了论述。无人驾驶拖拉机智能化玉米播种试验结果表明:该动力换挡无人驾驶拖拉机实现了路径规划、播种作业、掉头、智能避障和悬挂自动升降等功能,播种作业过程中直线作业精度达1.908 cm,交接行作业精度达2.012 cm,转弯掉头时偏离规划路径的控制精度为37.568 cm,与设计指标基本相符。 展开更多
关键词 无人驾驶 追踪控制 执行机构 控制算法
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基于Transformer的单目标跟踪研究进展 认领 引用
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作者 张大伟 徐东升 +3 位作者 余哲晨 蒋凯薇 田卫刚 郑忠龙 《模式识别与人工智能》 EI CSCD 北大核心 2026年第4期348-378,共31页
单目标跟踪(Single Object Tracking,SOT)是计算机视觉领域的核心任务之一.然而,在复杂场景中,传统的相关滤波和孪生网络架构已难以满足更高的精度与鲁棒性要求.近年来,Transformer架构凭借其卓越的全局建模能力,在SOT中表现出显著优势... 单目标跟踪(Single Object Tracking,SOT)是计算机视觉领域的核心任务之一.然而,在复杂场景中,传统的相关滤波和孪生网络架构已难以满足更高的精度与鲁棒性要求.近年来,Transformer架构凭借其卓越的全局建模能力,在SOT中表现出显著优势.因此,文中系统梳理基于Transformer的SOT研究进展.依据整体结构的设计,将现有算法分为双流双阶段跟踪算法与单流单阶段跟踪算法,并深入归纳分析其中具有代表性的跟踪算法,同时总结轻量化Transformer跟踪方法的研究现状.此外,进一步探讨基于Mamba的跟踪方法和通用模型等前沿热点,它们在模型效率与通用性方面展现出良好潜力.在多个主流数据集上对不同Transformer跟踪算法的性能进行全面评估和对比分析.最后,展望SOT在模型轻量化、多模态融合、长时跟踪、大模型驱动跟踪等方面的研究趋势,期望为单目标跟踪的研究与发展提供参考. 展开更多
关键词 计算机视觉 Transformer 双流双阶段跟踪算法 单流单阶段跟踪算法
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基于功率跟踪算法的旋转潮流控制器功率解耦控制策略 认领 引用
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作者 颜湘武 吴炜林 +4 位作者 梁白雪 闫军 邵晨 易兴平 生涵竹 《电工技术学报》 EI CSCD 北大核心 2026年第13期4648-4659,共12页
旋转潮流控制器(RPFC)可对线路功率进行灵活调控,以缓解网络拥塞,实现线路潮流均衡。现有RPFC功率解耦方法在低压配电网中的动态解耦效果较差,使得其在低压配电网中的应用受限。为解决上述问题,该文开展了基于功率跟踪算法的RPFC功率解... 旋转潮流控制器(RPFC)可对线路功率进行灵活调控,以缓解网络拥塞,实现线路潮流均衡。现有RPFC功率解耦方法在低压配电网中的动态解耦效果较差,使得其在低压配电网中的应用受限。为解决上述问题,该文开展了基于功率跟踪算法的RPFC功率解耦调节方法研究。首先,搭建了RPFC的功率调节模型,在考虑线路电阻的情况下研究了RPFC的潮流调控特性,分析了现有方法难以进行功率解耦的原因;其次,提出了基于功率跟踪算法的RPFC功率解耦控制策略,即对两个移相角施加一定扰动后,分析扰动前后线路功率的变化情况,并结合功率变化量与移相角变化量的关系确定调节方向,以此实现功率的解耦控制;最后,在380 V/40 kV·A的RPFC实验平台上对所提方法进行了实验验证。实验结果证明了所提控制策略在不同场景及线路参数下均表现出较好的功率解耦效果。 展开更多
关键词 旋转潮流控制器 功率解耦 功率跟踪算法 配电网 低压线路
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基于改进YOLO 11n-Pose和Jetson Orin NX的多目标小鼠行为分析方法 认领 引用
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作者 梁秀英 刘岩 +4 位作者 何磊 赵文瑞 祝梓涵 张恩帅 杨万能 《农业机械学报》 EI CAS CSCD 北大核心 2026年第14期91-101,共11页
针对人工观察小鼠行为存在费时费力、主观性强的问题,提出了一种适用于Jetson Orin NX平台的多目标小鼠行为分析方法。经比较,YOLO 11n-Pose在多个姿态关键点模型中效果最优,精确率为94.1%、召回率为94.5%、平均精度均值为96.4%,单幅图... 针对人工观察小鼠行为存在费时费力、主观性强的问题,提出了一种适用于Jetson Orin NX平台的多目标小鼠行为分析方法。经比较,YOLO 11n-Pose在多个姿态关键点模型中效果最优,精确率为94.1%、召回率为94.5%、平均精度均值为96.4%,单幅图像推理用时36.04 ms。提出WIoU损失函数改进,精确率提升2.1个百分点,平均精度均值提升0.7个百分点。基于结构简化和量化模型并部署到Jetson Orin NX,压缩后模型的精确率、召回率和平均精度均值分别为93.93%、94.18%和95.88%,单幅图像推理用时11.01 ms,缩短69.46%。对比4个多目标跟踪模型,结果表明OC Sort的效果优于其他模型,单幅图像推理用时2.18 ms。基于OC Sort多目标跟踪模型进行改进,改进后的IDF1、MOTA和MOTP分别为83.5%、92.0%和27.6%,ID跳变比原模型减少41.18%,单幅图像推理用时2.32 ms,结果表明改进OC Sort在不影响实时性的同时对于准确性有明显提升;采用基于阈值法的小鼠行为预测,将人工值和预测值对比,结果表明蜷缩、弯曲和伸长行为判断准确率分别达到95.12%、 81.71%和80.49%;采用该方法对比青年鼠与老年鼠24 h的行为活动,结果表明青年鼠的活跃度明显高于老年鼠,青年鼠更多时候处于休息状态,而老年鼠则更多处于睡觉状态。研究表明,改进YOLO 11n-Pose和OC Sort相结合的多目标小鼠行为分析方法,在提升跟踪与关键点准确性的同时,经量化部署后可实现便携、实时的多目标小鼠行为分析。 展开更多
关键词 小鼠 改进YOLO 11n-Pose 多目标跟踪算法 Jetson Orin NX 模型轻量化 行为分析
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Novel Real-Time Seam Tracking Algorithm Based on Vector Angle and Least Square Method 认领 引用 被引量：1
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作者 Guanhao Liang Qingsheng Luo +1 位作者 Zhuo Ge Xiaoqing Guan 《Journal of Beijing Institute of Technology》 EI CAS 2017年第2期150-157,共8页
Real-time seam tracking can improve welding quality and enhance welding efficiency during the welding process in automobile manufacturing.However,the teaching-playing welding process,an off-line seam tracking method,i... Real-time seam tracking can improve welding quality and enhance welding efficiency during the welding process in automobile manufacturing.However,the teaching-playing welding process,an off-line seam tracking method,is still dominant in automobile industry,which is less flexible when welding objects or situation change.A novel real-time algorithm consisting of seam detection and generation is proposed to track seam.Using captured 3D points,space vectors were created between two adjacent points along each laser line and then a vector angle based algorithm was developed to detect target points on the seam.Least square method was used to fit target points to a welding trajectory for seam tracking.Furthermore,the real-time seam tracking process was simulated in MATLAB/Simulink.The trend of joint angles vs.time was logged and a comparison between the off-line and the proposed seam tracking algorithm was conducted.Results show that the proposed real-time seam tracking algorithm can work in a real-time scenario and have high accuracy in welding point positioning. 展开更多
关键词 real-time seam tracking real-time seam detection laser scanner vector angle leastsquare method algorithm research
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基于物联网技术的履带式果园智能喷药机设计与试验 认领 引用
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作者 张俊杰 李立辉 +3 位作者 焦海涛 么立申 张西群 焦立飞 《农机化研究》 北大核心 2026年第10期52-59,共8页
传统人工喷药方式存在一定弊端,难以适应果园的规模化发展。为此,以履带遥控作业机为载体,融合遥控技术、物联网技术、导航技术,集成风送式喷药机、导航模块、可视化控制模块,并优化控制算法,研制了基于物联网技术的履带式果园智能喷药... 传统人工喷药方式存在一定弊端,难以适应果园的规模化发展。为此,以履带遥控作业机为载体,融合遥控技术、物联网技术、导航技术,集成风送式喷药机、导航模块、可视化控制模块,并优化控制算法,研制了基于物联网技术的履带式果园智能喷药机。本研究主要对喷药系统、导航模块和可视化控制模块进行了硬件选择与计算,重点对导航模块追踪控制器的控制算法进行了论述,并在梨园开展了喷药试验。结果表明:履带底盘接地压力由15.5kPa降至15.2kPa,土壤紧实度平均值为234.44kPa,喷药特性与梨树生长特征基本一致,横向循迹偏差平均绝对值为2.436cm,指令响应延迟最大为0.6s,视频传输延迟最大为1.3s。该智能喷药机实现了远程无人化喷施作业,且可实时监控作业环境,满足果园规模化管理需求。 展开更多
关键词 果园智能喷药机 物联网技术 追踪控制算法 履带式
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多峰值热电系统下改进启发式MPPT方法研究 认领 引用 被引量：1
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作者 李鹏 李浩 +1 位作者 朱文超 谢长君 《电源学报》 CSCD 北大核心 2026年第5期168-179,共12页
非均匀温度分布NUTD(non-uniform temperature distribution)情况下集中式热电系统呈现出多峰值特性,基于传统最大功率点跟踪MPPT(maximum power point tracking)方法易陷入局部最大功率点LMPP(local maximum power point),以及现有的... 非均匀温度分布NUTD(non-uniform temperature distribution)情况下集中式热电系统呈现出多峰值特性,基于传统最大功率点跟踪MPPT(maximum power point tracking)方法易陷入局部最大功率点LMPP(local maximum power point),以及现有的元启发式算法因探索和开发阶段的搜索能力不均衡导致搜索时间较长所造成的系统能量损失的问题,提出了一种改进的猎人猎物优化IHPO(improved hunter-prey optimization)算法。该算法依托于标准猎人猎物优化HPO(hunter-prey optimization)算法所具有的明确的探索和开发阶段的搜索能力机制,对原有机制进行了适用于多峰值特性的改进,在减弱算法本身频繁随机跃动导致的大幅振荡的同时,能够快速追踪到全局最大功率点GMPP(global maximum power point)。基于集中式热电系统模型,将IHPO算法与扰动观察法P&O(perturbation and observation)、粒子群优化PSO(particle swarm optimization)算法、改进的粒子群优化IPSO(improved PSO)算法和标准HPO算法在不同工况下进行仿真对比。结果表明,所提算法可以在非均匀温度分布的情况下快速且准确地追踪到GMPP,并大幅减小追踪过程的振荡,能量产出的提升最高可达21.8%,IHPO算法能够有效解决集中式热电系统的多峰值问题。 展开更多
关键词 热电发电机 最大功率跟踪 猎人猎物优化算法 终止机制和重启机制
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