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Three-dimensional(3D)parametric measurements of individual gravels in the Gobi region using point cloud technique
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作者 JING Xiangyu HUANG Weiyi KAN Jiangming 《Journal of Arid Land》 SCIE CSCD 2024年第4期500-517,共18页
Gobi spans a large area of China,surpassing the combined expanse of mobile dunes and semi-fixed dunes.Its presence significantly influences the movement of sand and dust.However,the complex origins and diverse materia... Gobi spans a large area of China,surpassing the combined expanse of mobile dunes and semi-fixed dunes.Its presence significantly influences the movement of sand and dust.However,the complex origins and diverse materials constituting the Gobi result in notable differences in saltation processes across various Gobi surfaces.It is challenging to describe these processes according to a uniform morphology.Therefore,it becomes imperative to articulate surface characteristics through parameters such as the three-dimensional(3D)size and shape of gravel.Collecting morphology information for Gobi gravels is essential for studying its genesis and sand saltation.To enhance the efficiency and information yield of gravel parameter measurements,this study conducted field experiments in the Gobi region across Dunhuang City,Guazhou County,and Yumen City(administrated by Jiuquan City),Gansu Province,China in March 2023.A research framework and methodology for measuring 3D parameters of gravel using point cloud were developed,alongside improved calculation formulas for 3D parameters including gravel grain size,volume,flatness,roundness,sphericity,and equivalent grain size.Leveraging multi-view geometry technology for 3D reconstruction allowed for establishing an optimal data acquisition scheme characterized by high point cloud reconstruction efficiency and clear quality.Additionally,the proposed methodology incorporated point cloud clustering,segmentation,and filtering techniques to isolate individual gravel point clouds.Advanced point cloud algorithms,including the Oriented Bounding Box(OBB),point cloud slicing method,and point cloud triangulation,were then deployed to calculate the 3D parameters of individual gravels.These systematic processes allow precise and detailed characterization of individual gravels.For gravel grain size and volume,the correlation coefficients between point cloud and manual measurements all exceeded 0.9000,confirming the feasibility of the proposed methodology for measuring 3D parameters of individual gravels.The proposed workflow yields accurate calculations of relevant parameters for Gobi gravels,providing essential data support for subsequent studies on Gobi environments. 展开更多
关键词 Gobi gravels three-dimensional(3D)parameters point cloud 3D reconstruction Random Sample Consensus(RANSAC)algorithm Density-Based Spatial Clustering of Applications with Noise(DBSCAN)
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Linear numerical calculation method for obtaining critical point,pore fluid,and framework parameters of gas-bearing media 被引量:3
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作者 牛滨华 孙春岩 +2 位作者 闫国英 杨维 刘畅 《Applied Geophysics》 SCIE CSCD 2009年第4期319-326,393,共9页
Up to now, the primary method for studying critical porosity and porous media are experimental measurements and data analysis. There are few references on how to numerically calculate porosity at the critical point, p... Up to now, the primary method for studying critical porosity and porous media are experimental measurements and data analysis. There are few references on how to numerically calculate porosity at the critical point, pore fluid-related parameters, or framework-related parameters. So in this article, we provide a method for calculating these elastic parameters and use this method to analyze gas-bearing samples. We first derive three linear equations for numerical calculations. They are the equation of density p versus porosity Ф, density times the square of compressional wave velocity p Vp^2 versus porosity, and density times the square of shear wave velocity pVs^2 versus porosity. Here porosity is viewed as an independent variable and the other parameters are dependent variables. We elaborate on the calculation steps and provide some notes. Then we use our method to analyze gas-bearing sandstone samples. In the calculations, density and P- and S-velocities are input data and we calculate eleven relative parameters for porous fluid, framework, and critical point. In the end, by comparing our results with experiment measurements, we prove the viability of the method. 展开更多
关键词 linear equation numerical calculation gas-bearing media critical point pore fluid and framework elastic parameters
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Effective point kinetic parameters calculation in Tehran research reactor using deterministic and probabilistic methods 被引量:1
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作者 M.Kheradmand Saadi A.Abbaspour 《Nuclear Science and Techniques》 SCIE CAS CSCD 2017年第12期182-192,共11页
The exact calculation of point kinetic parameters is very important in nuclear reactor safety assessment, and most sophisticated safety codes such as RELAP5, PARCS,DYN3D, and PARET are using these parameters in their ... The exact calculation of point kinetic parameters is very important in nuclear reactor safety assessment, and most sophisticated safety codes such as RELAP5, PARCS,DYN3D, and PARET are using these parameters in their dynamic models. These parameters include effective delayed neutron fractions as well as mean generation time.These parameters are adjoint-weighted, and adjoint flux is employed as a weighting function in their evaluation.Adjoint flux calculation is an easy task for most of deterministic codes, but its evaluation is cumbersome for Monte Carlo codes. However, in recent years, some sophisticated techniques have been proposed for Monte Carlo-based point kinetic parameters calculation without any need of adjoint flux. The most straightforward scheme is known as the ‘‘prompt method'' and has been used widely in literature. The main objective of this article is dedicated to point kinetic parameters calculation in Tehran research reactor(TRR) using deterministic as well as probabilistic techniques. WIMS-D5B and CITATION codes have been used in deterministic calculation of forward and adjoint fluxes in the TRR core. On the other hand, the MCNP Monte Carlo code has been employed in the ‘‘prompt method''scheme for effective delayed neutron fraction evaluation.Deterministic results have been cross-checked with probabilistic ones and validated with SAR and experimental data. In comparison with experimental results, the relativedifferences of deterministic as well as probabilistic methods are 7.6 and 3.2%, respectively. These quantities are10.7 and 6.4%, respectively, in comparison with SAR report. 展开更多
关键词 point kinetic parameters TEHRAN research reactor ADJOINT flux Prompt METHOD DETERMINISTIC METHOD Probabilistic METHOD
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Saddle Point Solution for System with Parameter Uncertainties
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作者 Abiola Bankole T. C. Obiwuru 《Advances in Pure Mathematics》 2013年第8期685-688,共4页
In this paper, we consider dynamical system, in the presence of parameter uncertainties. We apply max-min principles to determine the saddle point solution for the class of differential game arising from the associate... In this paper, we consider dynamical system, in the presence of parameter uncertainties. We apply max-min principles to determine the saddle point solution for the class of differential game arising from the associated dynamical system. We also provide sufficient condition for the existence of this saddle point. 展开更多
关键词 parameter Uncertainty MIN-MAX PRINCIPLES SADDLE point DIFFERENTIAL GAMES
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A MAXIMUM PRINCIPLE FOR DISTRIBUTED PARAMETER SYSTEMS WITH MIXED PHASE-CONTROL CONSTRAINTS ANDENDPOINT CONSTRAINTS
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作者 张平健 《Acta Mathematica Scientia》 SCIE CSCD 1997年第2期151-158,共8页
This paper considered the optimal control problem for distributed parameter systems with mixed phase-control constraints and end-point constraints. Pontryagin's maximum principle for optimal control are derived vi... This paper considered the optimal control problem for distributed parameter systems with mixed phase-control constraints and end-point constraints. Pontryagin's maximum principle for optimal control are derived via Duboviskij-Milujin theorem. 展开更多
关键词 maximum principle distributed parameter systems end-point constraints Duboviskij-Milujin theorem additive vector measure
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Ground-based/UAV-LiDAR data fusion for quantitative structure modeling and tree parameter retrieval in subtropical planted forest 被引量:5
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作者 Reda Fekry Wei Yao +1 位作者 Lin Cao Xin Shen 《Forest Ecosystems》 SCIE CSCD 2022年第5期674-691,共18页
Light detection and ranging(LiDAR)has contributed immensely to forest mapping and 3D tree modelling.From the perspective of data acquisition,the integration of LiDAR data from different platforms would enrich forest i... Light detection and ranging(LiDAR)has contributed immensely to forest mapping and 3D tree modelling.From the perspective of data acquisition,the integration of LiDAR data from different platforms would enrich forest information at the tree and plot levels.This research develops a general framework to integrate ground-based and UAV-LiDAR(ULS)data to better estimate tree parameters based on quantitative structure modelling(QSM).This is accomplished in three sequential steps.First,the ground-based/ULS LiDAR data were co-registered based on the local density peaks of the clustered canopy.Next,redundancy and noise were removed for the ground-based/ULS LiDAR data fusion.Finally,tree modeling and biophysical parameter retrieval were based on QSM.Experiments were performed for Backpack/Handheld/UAV-based multi-platform mobile LiDAR data of a subtropical forest,including poplar and dawn redwood species.Generally,ground-based/ULS LiDAR data fusion outperforms ground-based LiDAR with respect to tree parameter estimation compared to field data.The fusion-derived tree height,tree volume,and crown volume significantly improved by up to 9.01%,5.28%,and 18.61%,respectively,in terms of rRMSE.By contrast,the diameter at breast height(DBH)is the parameter that has the least benefits from fusion,and rRMSE remains approximately the same,because stems are already well sampled from ground data.Additionally,particularly for dense forests,the fusion-derived tree parameters were improved compared to those derived from ground-based LiDAR.Ground-based LiDAR can potentially be used to estimate tree parameters in low-stand-density forests,whereby the improvement owing to fusion is not significant. 展开更多
关键词 Ground/aerial view mobile LiDAR point cloud CO-REGISTRATION FUSION QSM Tree parameter retrieval
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Investigation into engineering parameters of marls from Seydoon dam in Iran
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作者 Sohrab Salehin 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2017年第5期912-923,共12页
The quality of designed structures embedded in rocks is strongly related to rock strength parameters of intact rock.Measuring different parameters from tests could be very expensive in designing phase of projects.Esti... The quality of designed structures embedded in rocks is strongly related to rock strength parameters of intact rock.Measuring different parameters from tests could be very expensive in designing phase of projects.Estimating some parameters from other ones can reduce costs and time of project procedure.In this paper,the relationships between static and dynamic parameters of marls are studied by using the single and multiple linear regressions.For this purpose,several marl core samples from Seydoon region,Khoozestan Province in Iran are collected and tested.Some equations with sufficient correlation have been obtained to predict the engineering parameters of marls,especially the uniaxial compressive strength(UCS). 展开更多
关键词 MARLS Strength parameters Uniaxial compressive strength(UCS) Sonic wave velocity Brazilian tensile strength Triaxial test point load test Index properties
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Bio-Inspired Numerical Analysis of COVID-19 with Fuzzy Parameters
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作者 F.M.Allehiany Fazal Dayan +5 位作者 F.F.Al-Harbi Nesreen Althobaiti Nauman Ahmed Muhammad Rafiq Ali Raza Mawahib Elamin 《Computers, Materials & Continua》 SCIE EI 2022年第8期3213-3229,共17页
Fuzziness or uncertainties arise due to insufficient knowledge,experimental errors,operating conditions and parameters that provide inaccurate information.The concepts of susceptible,infectious and recovered are uncer... Fuzziness or uncertainties arise due to insufficient knowledge,experimental errors,operating conditions and parameters that provide inaccurate information.The concepts of susceptible,infectious and recovered are uncertain due to the different degrees in susceptibility,infectivity and recovery among the individuals of the population.The differences can arise,when the population groups under the consideration having distinct habits,customs and different age groups have different degrees of resistance,etc.More realistic models are needed which consider these different degrees of susceptibility infectivity and recovery of the individuals.In this paper,a Susceptible,Infected and Recovered(SIR)epidemic model with fuzzy parameters is discussed.The infection,recovery and death rates due to the disease are considered as fuzzy numbers.Fuzzy basic reproduction number and fuzzy equilibrium points have been derived for the studied model.Themodel is then solved numerically with three different techniques,forward Euler,Runge-Kutta fourth order method(RK-4)and the nonstandard finite difference(NSFD)methods respectively.The NSFD technique becomes more efficient and reliable among the others and preserves all the essential features of a continuous dynamical system. 展开更多
关键词 Fuzzy parameters SIR model NSFD scheme fuzzy equilibrium points fuzzy stability analysis
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Existence and Multiple of Positive Solution for Nonlinear Fractional Difference Equations with Parameter 被引量:1
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作者 Youji Xu 《Journal of Applied Mathematics and Physics》 2015年第7期757-760,共4页
Let,. We study the existence and multiple positive solutions of n-th nonlinear discrete fractional boundary value problem of the form By using a fixed-point theorem on cone, the parameter intervals of problem is estab... Let,. We study the existence and multiple positive solutions of n-th nonlinear discrete fractional boundary value problem of the form By using a fixed-point theorem on cone, the parameter intervals of problem is established. 展开更多
关键词 Fractional Difference Equations parameter INTERVALS Positive Solution FIXED-point Theorem
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An optimization method of fidelity parameters of formation fluid sampling cylinder while drilling
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作者 JIANG Chuanlong YAN Tingjun +3 位作者 ZHANG Yang SUN Tengfei CHEN Zhongshuai SUN Haoyu 《Petroleum Exploration and Development》 CSCD 2022年第2期458-467,共10页
A design idea of fidelity sampling cylinder while drilling based on surface nitrogen precharging and supplemented by downhole pressurization was proposed, and the working mode and optimization method of sampling param... A design idea of fidelity sampling cylinder while drilling based on surface nitrogen precharging and supplemented by downhole pressurization was proposed, and the working mode and optimization method of sampling parameters were discussed. The nitrogen chamber in the sampling cylinder functions as an energy storage air cushion, which can supplement the pressure loss caused by temperature change in the sampling process to some extent. The downhole pressurization is to press the sample into the sample chamber as soon as possible, and further increase the pressure of sample to make up for the pressure that the nitrogen chamber cannot provide. Through the analysis of working mode of the sampling fidelity cylinder, the non-ideal gas state equation was used to deduce and calculate the optimal values of fidelity parameters such as pre-charged nitrogen pressure, downhole pressurization amount and sampling volume according to whether the bubble point pressure of the sampling fluid was known and on-site emergency sampling situation. Besides, the influences of ground temperature on fidelity parameters were analyzed, and corresponding correction methods were put forward. The research shows that the fidelity sampling cylinder while drilling can effectively improve the fidelity of the sample. When the formation fluid sample reaches the surface, it can basically ensure that the sample does not change in physical phase state and keeps the same chemical components in the underground formation. 展开更多
关键词 sampling while drilling formation fluid sample fidelity bubble point pressure nitrogen pre-charge downhole pressurization parameter optimization
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改进势场蚁群算法优化路径自动规划 被引量:1
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作者 张婷 吴艳 张风雷 《机械设计与制造》 北大核心 2024年第6期322-325,共4页
针对势场与蚁群联合的自主路径规划存在局部最优解、初始路径选择随机导致效率不高及环境适应性差等问题,提出了基于自适应域和参数自适应设置的改进算法。算法首先基于自适应域改进势场目标不可达问题,并过滤震荡点以平滑路径;其次,通... 针对势场与蚁群联合的自主路径规划存在局部最优解、初始路径选择随机导致效率不高及环境适应性差等问题,提出了基于自适应域和参数自适应设置的改进算法。算法首先基于自适应域改进势场目标不可达问题,并过滤震荡点以平滑路径;其次,通过状态转移函数和信息素更新等相关参数的自适应设置,提高算法在收敛效率和搜索能力上的平衡性,进而提高对障碍环境的适应性。实验结果表明,所提算法能够有效避免局部最优、目标不可达和复杂环境的适应性问题,在路径长度和效率上优于实验采用的已有算法,从而验证了算法的有效性。 展开更多
关键词 最优路径规划 改进人工势场算法 自适应域优化 参数自适应设置 震荡点过滤
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大孔隙参数对斜坡非均匀渗流与稳定性的影响
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作者 阙云 李尚辉 +3 位作者 詹小军 张吉松 薛斌 谢秀栋 《工程科学与技术》 EI CAS CSCD 北大核心 2024年第3期122-133,共12页
为揭示降雨条件下大孔隙参数对斜坡水分非均匀运移与稳定性的影响,基于两域模型与稳定系数场原理,建立降雨入渗下斜坡非均匀渗流与稳定性求解模型,并借助COMSOL Multiphysics多物理场有限元平台,编制相应的模型求解程序,通过大孔隙土柱... 为揭示降雨条件下大孔隙参数对斜坡水分非均匀运移与稳定性的影响,基于两域模型与稳定系数场原理,建立降雨入渗下斜坡非均匀渗流与稳定性求解模型,并借助COMSOL Multiphysics多物理场有限元平台,编制相应的模型求解程序,通过大孔隙土柱降雨试验验证数值模型的合理性,对比均匀流与非均匀流条件下斜坡体积含水率和点稳定系数,分析大孔隙参数(大孔隙占比ω_(f)、两域导水系数之比μ、大孔隙经验参数r_(w))对斜坡渗流场及稳定系数场的影响规律。结果表明:相比不考虑大孔隙,考虑大孔隙时的基质域和大孔隙域表层体积含水率分别增长7.7%和降低5.1%,入渗深度分别增长83.3%和150.0%;边坡浅层失稳面积增大3.9%。基质域和大孔隙域入渗深度均随大孔隙占比ω_(f)的增大而减小;随着大孔隙域与基质域饱和渗透系数之比μ增大,两者入渗深度变化趋势相反,即μ越大,基质域入渗深度越小,大孔隙域反之;两者与经验参数r_(w)无显著关系。至降雨结束,基质域表层土体体积含水率已达最大值;大孔隙域则随着ω_(f)和μ的增大而增大,但几乎不受经验参数r_(w)的影响。非均匀流条件下,边坡水分交换沿着剖面从上往下分为负交换区、正交换区和无交换区,水分交换平衡深度与基质域入渗深度变化趋势一致;水分交换负交换区与正交换区的深度均存在一个峰值,并随大孔隙占比ω_(f)的增大而减小,随着μ和r_(w)的增大而增大。不同参数取值下,边坡均为浅层失稳破坏,ω_(f)和μ越大,失稳层深度越大,表层点稳定系数越小,因此大孔隙不利于边坡稳定。 展开更多
关键词 大孔隙参数 非均匀流 点稳定系数 水分交换 入渗深度
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具有未知时变参数城轨列车的精准停车鲁棒控制
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作者 李茂青 朱胜杰 +2 位作者 林俊亭 高云波 岳丽丽 《铁道学报》 EI CAS CSCD 北大核心 2024年第7期65-72,共8页
列车运行情况复杂多变,使得列车质量、基本运行阻力及线路状况等参数难以精确获得且随着列车运行存在明显的时变特性。列车模型参数的不确定性和时变特性会对列车的精准停车性能产生重要的影响。在动车组多质点动力学模型的基础上,根据L... 列车运行情况复杂多变,使得列车质量、基本运行阻力及线路状况等参数难以精确获得且随着列车运行存在明显的时变特性。列车模型参数的不确定性和时变特性会对列车的精准停车性能产生重要的影响。在动车组多质点动力学模型的基础上,根据Lyapunov再设计方法设计了一种非线性列车鲁棒控制器。该控制器将系统中的不确定性因素视为等价干扰,并设计相应的鲁棒补偿项。根据参数的先验区间,设计的鲁棒补偿项能够抑制模型估计误差,使得列车的位置和速度跟踪误差快速收敛,最终实现精准停车的控制目标;同时,也证明了系统的最终一致有界稳定性。最后,选取城市轨道交通场景进行仿真验证,仿真结果表明:本文提出的控制方法在列车模型参数未知且时变情景下也能实现对期望停车曲线的快速、精确追踪,表现出较强的鲁棒特性。 展开更多
关键词 列车自动运行 多质点模型 精准停车 鲁棒控制 未知时变参数 最终一致稳定性
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LYP225低屈服点钢锥形钢棒阻尼器剪切力学性能研究
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作者 连鸣 戴柏豪 李伟 《振动与冲击》 EI CSCD 北大核心 2024年第10期268-278,共11页
为了研究LYP225低屈服点钢锥形钢棒阻尼器(low yield point-web hourglass pin, LYP-WHP)在剪切荷载作用下的滞回性能与疲劳性能,对两个LYP-WHP试件分别进行了滞回加载与疲劳加载试验。基于试验结果,采用混合强化本构模型,通过ABAQUS软... 为了研究LYP225低屈服点钢锥形钢棒阻尼器(low yield point-web hourglass pin, LYP-WHP)在剪切荷载作用下的滞回性能与疲劳性能,对两个LYP-WHP试件分别进行了滞回加载与疲劳加载试验。基于试验结果,采用混合强化本构模型,通过ABAQUS软件建立了12个LYP-WHP的足尺精细化数值模型,分别以阻尼器的内径、外径和耗能段长度为参数,研究以上参数对LYP-WHP在剪切荷载作用下LYP-WHP滞回性能的影响规律,推导了LYP-WHP的弹性刚度计算公式,并给出了初步确定LYP-WHP屈服力与屈服位移的方法,基于试验与数值分析结果,得到了LYP-WHP屈服后的刚度折减系数建议值。研究结果表明:在剪切位移下,LYP-WHP具有良好的滞回性能与疲劳性能;增大外径和内径可明显提高LYP-WHP的承载力、刚度和耗能能力,增大耗能段长度则会降低LYP-WHP的承载力、刚度和耗能能力;增大内径、外径使材料的利用率先增大后减小,增大耗能段长度则基本无影响;推导的LYP-WHP弹性刚度计算式可以较为准确地计算LYP-WHP的弹性刚度;基于该研究的分析结果,建议LYP-WHP的内径与外径比值取0.375~0.625,屈服后的刚度折减系数取0.11,得到了理论骨架曲线的计算式。 展开更多
关键词 低屈服点钢(LYP) 锥形钢棒阻尼器(WHP) 参数分析 滞回性能 疲劳性能
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机载LiDAR系统安置角自适应迭代修正算法探讨
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作者 纪凯 封钦 《杨凌职业技术学院学报》 2024年第3期1-5,共5页
安置角参数在机载激光雷达作业中对后期点云数据精度质量有着极大的影响,使其真实地物点位置发生改变,相邻航带点云出现分层,而传统布设地面控制点的标定模式效率低、成本高、要求高、可操作性差,为规避上述诸多弊端,给出一种安置角自... 安置角参数在机载激光雷达作业中对后期点云数据精度质量有着极大的影响,使其真实地物点位置发生改变,相邻航带点云出现分层,而传统布设地面控制点的标定模式效率低、成本高、要求高、可操作性差,为规避上述诸多弊端,给出一种安置角自适应的标定模型,通过相邻重叠航带内部大量同名特征点的空间位置匹配、安置角参数的迭代运算,利用最小二乘配置方法求解机载激光雷达扫描系统的三个安置角参数,并借助C语言实现算法程序,在测试案例中得到了验证,提升了安置角标定效率,提高了机载激光雷达技术在复杂地形中点云的处理质量、适用性与可操作性。 展开更多
关键词 机载激光雷达 同名点特征 安置角参数
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基于改进蚁群算法的医药冷链物流运输路径优化
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作者 陈鑫影 朱子青 胡明捷 《大连交通大学学报》 CAS 2024年第1期26-32,共7页
为解决大多数模型中制冷成本未考虑预冷参数而导致总成本求解精度不佳的问题,在制冷成本中加入预冷参数,得到新的总成本模型。基于遗传算法与IACO算法,提出了IGACO算法,此算法改进了传统蚁群算法的启发式因子与信息素更新方式,在此基础... 为解决大多数模型中制冷成本未考虑预冷参数而导致总成本求解精度不佳的问题,在制冷成本中加入预冷参数,得到新的总成本模型。基于遗传算法与IACO算法,提出了IGACO算法,此算法改进了传统蚁群算法的启发式因子与信息素更新方式,在此基础上加入交叉操作和变异因子,扩大算法搜索范围,进一步避免陷入局部最优的情况。经过试验对比分析,验证了IGACO算法所得出的最优路线、总成本、运行时间、收敛速度在一定程度上都优于其他算法。 展开更多
关键词 冷链物流 IGACO算法 预冷参数 单点交叉 变异算子
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基于正余弦的非线性哈里斯鹰优化算法
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作者 夏小刚 彭嘉超 《河南科技大学学报(自然科学版)》 CAS 北大核心 2024年第5期93-104,M0008,共13页
针对哈里斯鹰优化算法(HHO)收敛精度低、易陷入局部最优等问题,提出了一种基于正余弦的非线性哈里斯鹰优化算法(SCNHHO)。首先,采用佳点集策略对种群进行初始化,使种群分布更均匀,提高算法收敛速度和精度;其次,在探索阶段引入正余弦策略... 针对哈里斯鹰优化算法(HHO)收敛精度低、易陷入局部最优等问题,提出了一种基于正余弦的非线性哈里斯鹰优化算法(SCNHHO)。首先,采用佳点集策略对种群进行初始化,使种群分布更均匀,提高算法收敛速度和精度;其次,在探索阶段引入正余弦策略,利用正余弦函数的震荡特性扩大搜索范围,寻求更多潜在的优质解;最后,在开发阶段引入非线性参数来平衡探索与开发,避免算法陷入局部最优。针对不同维度的基准测试函数进行性能测试,结合Wilcoxon秩和检验与Friedman检验的结果,将该算法与其他5个对比算法进行分析。结果表明,改进算法性能较原始HHO算法有较大提升,并且优于斑马优化算法(ZOA)、鲸鱼优化算法(WOA)和2种哈里斯鹰算法的变体(MHHO和IHHO),验证了改进策略的有效性。最后通过三杆桁架设计问题进一步验证了SCNHHO的实用性。 展开更多
关键词 哈里斯鹰优化算法 佳点集策略 正余弦函数 非线性参数 Wilcoxon秩和检验 基准测试函数
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培元调神针灸法联合子午流注穴位贴敷治疗卵巢早衰临床研究
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作者 许江虹 陈跃来 +1 位作者 章晓洁 薛佳颖 《新中医》 CAS 2024年第15期143-147,共5页
目的:观察培元调神针灸法联合子午流注穴位贴敷治疗卵巢早衰的临床疗效及对患者卵巢体积、卵巢血流参数的影响。方法:采用随机数字表法将92例卵巢早衰患者分为对照组、治疗组各46例。对照组给予常规西药治疗,治疗组在对照组基础上给予... 目的:观察培元调神针灸法联合子午流注穴位贴敷治疗卵巢早衰的临床疗效及对患者卵巢体积、卵巢血流参数的影响。方法:采用随机数字表法将92例卵巢早衰患者分为对照组、治疗组各46例。对照组给予常规西药治疗,治疗组在对照组基础上给予培元调神针灸法联合子午流注穴位贴敷治疗。比较2组治疗前后中医证候积分、焦虑自评量表(SAS)评分、卵巢体积、卵泡数目、卵巢血流参数及血清性激素水平,评估2组临床疗效及不良反应发生情况。结果:治疗组总有效率91.30%,高于对照组73.91%(P<0.05)。治疗后,2组中医证候积分、SAS评分、阻力指数及血清促黄体生成激素(LH)、卵泡刺激素(FSH)水平均较治疗前降低(P<0.05),且治疗组中医证候积分、SAS评分、阻力指数及血清LH、FSH水平低于对照组(P<0.05)。治疗后,2组雌二醇(E2)水平、卵巢收缩期峰值流速、舒张末期流速较治疗前升高(P<0.05),左、右侧卵巢体积增大(P<0.05),卵泡数目增加(P<0.05),且治疗组上述指标高于对照组(P<0.05)。2组均未出现严重不良反应。结论:培元调神针灸法联合子午流注穴位贴敷治疗卵巢早衰疗效确切,能够调节患者性激素水平,改善患者卵巢血流参数,安全性较高。 展开更多
关键词 卵巢早衰 培元调神针灸法 子午流注穴位贴敷 性激素 卵巢血流参数
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高度城镇化背景下深圳市易涝点驱动因子分析 被引量:1
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作者 张晨钰 王伟 +2 位作者 黄莉 张攀 赖成光 《水资源保护》 EI CAS CSCD 北大核心 2024年第2期35-45,共11页
根据深圳市2018—2022年易涝点统计资料,运用标准差椭圆、空间自相关和核密度估计等方法对深圳市易涝点时空分布特征进行分析。将分别利用优化热点分析和核密度估计方法所得的内涝易发度作为因变量,运用参数最优地理探测器对连续型驱动... 根据深圳市2018—2022年易涝点统计资料,运用标准差椭圆、空间自相关和核密度估计等方法对深圳市易涝点时空分布特征进行分析。将分别利用优化热点分析和核密度估计方法所得的内涝易发度作为因变量,运用参数最优地理探测器对连续型驱动因子最优离散化处理,探测易涝点空间分布差异的主要驱动因子及作用机制。结果表明:深圳市易涝点空间分布差异性显著,其分布的方向性减弱,集聚特征明显;人口经济类驱动因子对易涝点空间分布有最强解释力,气候特征类次之,暴雨日数和人口驱动因子的协同作用可以解释59.50%的易涝点分布;核密度估计所得的易发度具有更好的代表性,且对连续型因子最优离散化处理能显著提升其解释力。 展开更多
关键词 城市内涝 易涝点 优化热点分析 核密度估计 参数最优地理探测器 深圳市
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基于YOLOv5m和CBAM-CPN的单分蘖水稻表型参数提取 被引量:1
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作者 陈慧颖 宋青峰 +4 位作者 常天根 郑立华 朱新广 张漫 王敏娟 《农业工程学报》 EI CAS CSCD 北大核心 2024年第2期307-314,共8页
为快速获取单分蘖水稻植株的形态结构和表型参数,该研究提出了一种基于目标检测和关键点检测模型相结合的骨架提取和表型参数获取方法。该方法基于目标检测模型生成穗、茎秆、叶片的边界框和类别,将所得数据分别输入到关键点检测模型检... 为快速获取单分蘖水稻植株的形态结构和表型参数,该研究提出了一种基于目标检测和关键点检测模型相结合的骨架提取和表型参数获取方法。该方法基于目标检测模型生成穗、茎秆、叶片的边界框和类别,将所得数据分别输入到关键点检测模型检测各部位关键点,按照语义信息依次连接关键点形成植株骨架,依据关键点坐标计算穗长度、茎秆长度、叶片长度、叶片-茎秆夹角4种表型参数。首先,构建单分蘖水稻的关键点检测和目标检测数据集;其次,训练Faster R-CNN、YOLOv3、YOLOv5s、YOLOv5m目标检测模型,经过对比,YOLOv5m的检测效果最好,平均精度均值(mean average precision,mAP)达到91.17%;然后,应用人体姿态估计的级联金字塔网络(cascaded pyramid network,CPN)提取植株骨架,并引入注意力机制CBAM(convolutional block attention module)进行改进,与沙漏网络(hourglass networks,HN)、堆叠沙漏网络模型(stacked hourglass networks,SHN)和CPN模型相比,CBAM-CPN模型的预测准确率分别提高了9.68、8.83和1.06个百分点,达到94.75%,4种表型参数的均方根误差分别为1.06 cm、0.81 cm、1.25 cm和2.94°。最后,结合YOLOv5m和CBAM-CPN进行预测,4种表型参数的均方根误差分别为1.48、1.05、1.74cm和2.39°,与SHN模型相比,误差分别减小1.65 cm、3.43 cm、2.65 cm和4.75°,生成的骨架基本能够拟合单分蘖水稻植株的形态结构。所提方法可以提高单分蘖水稻植株的关键点检测准确率,更准确地获取植株骨架和表型参数,有助于加快水稻的育种和改良。 展开更多
关键词 目标检测 注意力机制 水稻 关键点检测 骨架提取 表型参数 单分蘖植株
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