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The Measurement Accuracy of Ball Bearing Center in Portal Images Using an Intensity-Weighted Centroid Method 被引量:1
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作者 Mutian Zhang Joseph Driewer +2 位作者 Yichi Zhang Sumin Zhou Xiaofeng Zhu 《International Journal of Medical Physics, Clinical Engineering and Radiation Oncology》 2015年第4期273-283,共11页
Medical linac based imaging modalities such as portal imaging can be utilized for highly accurate measurements. An intensity-weighted centroid method for determining object center is proposed that can detect the posit... Medical linac based imaging modalities such as portal imaging can be utilized for highly accurate measurements. An intensity-weighted centroid method for determining object center is proposed that can detect the position of small object at subpixel accuracy. The principles and algorithms of the intensity-weighted centroid method are presented. Analytical results are derived for positional accuracy of a rod and a sphere in digital images, and the theoretical accuracy limits are calculated. The method was experimentally examined using phantoms with embedded ball bearings (BBs). Images of the phantoms were taken by the MV portal imager of a medical linac. The image pixel size was 0.26 mm when projected at the linac isocenter plane. The BB coordinates were calculated by applying the intensity-weighted centroid method after removing the background. The reproducibility of BB position detection was measured with 3 monitor unit (MU) exposures at various dose rates. A stationary BB, of 0.25 image contrast, showed position reproducibility in the range of 0.004 - 0.013 mm. When the method was used to measure the displacement of a moving BB, the difference between the measured and expected BB position had a standard deviation of 0.006 mm. The effect of image noise on the BB detection accuracy was measured using a phantom with multiple BBs. The overall detection accuracy, represented by standard deviation, steadily improved from 0.13 mm at 0.03 MU to 0.008 mm at 5.0 MU, and showed an inverse correlation with contrast-to-noise ratio. We demonstrated that intensity-weighted centroid method can achieve subpixel accuracy in position detection. With a linac based imaging system, precise mechanical measurement with accuracy of microns could be achieved. 展开更多
关键词 SUBPIXEL Detection intensity-weighted centroid PORTAL Image Medical LINAC Ball Bearing
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A centroid measurement method based on 3D scanning 被引量:1
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作者 HE Xin LI Zhen 《Journal of Measurement Science and Instrumentation》 2025年第2期186-194,共9页
The centroid coordinate serves as a critical control parameter in motion systems,including aircraft,missiles,rockets,and drones,directly influencing their motion dynamics and control performance.Traditional methods fo... The centroid coordinate serves as a critical control parameter in motion systems,including aircraft,missiles,rockets,and drones,directly influencing their motion dynamics and control performance.Traditional methods for centroid measurement often necessitate custom equipment and specialized positioning devices,leading to high costs and limited accuracy.Here,we present a centroid measurement method that integrates 3D scanning technology,enabling accurate measurement of centroid across various types of objects without the need for specialized positioning fixtures.A theoretical framework for centroid measurement was established,which combined the principle of the multi-point weighing method with 3D scanning technology.The measurement accuracy was evaluated using a designed standard component.Experimental results demonstrate that the discrepancies between the theoretical and the measured centroid of a standard component with various materials and complex shapes in the X,Y,and Z directions are 0.003 mm,0.009 mm,and 0.105 mm,respectively,yielding a spatial deviation of 0.106 mm.Qualitative verification was conducted through experimental validation of three distinct types.They confirmed the reliability of the proposed method,which allowed for accurate centroid measurements of various products without requiring positioning fixtures.This advancement significantly broadened the applicability and scope of centroid measurement devices,offering new theoretical insights and methodologies for the measurement of complex parts and systems. 展开更多
关键词 centroid measurement mass characteristic parameter 3D scanning 3D point cloud data no specialized positioning fixtures multi-point weighing method
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High-precision spot centroid positioning of high-frame-rate short-wave infrared images for satellite laser communication
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作者 FU Peng HE Dao-Gang +1 位作者 LIU Jun WANG Yue-Ming 《红外与毫米波学报》 北大核心 2025年第1期66-77,共12页
The accuracy of spot centroid positioning has a significant impact on the tracking accuracy of the system and the stability of the laser link construction.In satellite laser communication systems,the use of short-wave... The accuracy of spot centroid positioning has a significant impact on the tracking accuracy of the system and the stability of the laser link construction.In satellite laser communication systems,the use of short-wave infrared wavelengths as beacon light can reduce atmospheric absorption and signal attenuation.However,there are strong non-uniformity and blind pixels in the short-wave infrared image,which makes the image distorted and leads to the decrease of spot centroid positioning accuracy.Therefore,the high-precision localization of the spot centroid of the short-wave infrared images is of great research significance.A high-precision spot centroid positioning model for short-wave infrared is proposed to correct for non-uniformity and blind pixels in short-wave infrared images and quantify the localization errors caused by the two,further model-based localization error simulations are performed,and a novel spot centroid positioning payload for satellite laser communications has been designed using the latest 640×512 planar array InGaAs shortwave infrared detector.The experimental results show that the non-uniformity of the corrected image is reduced from 7%to 0.6%,the blind pixels rejection rate reaches 100%,the frame rate can be up to 2000 Hz,and the spot centroid localization accuracy is as high as 0.1 pixel point,which realizes high-precision spot centroid localization of high-frame-frequency short-wave infrared images. 展开更多
关键词 satellite laser communication spot centroid positioning short-wave infrared high frame rate NONUNIFORMITY
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A FUNCTIONAL ORLICZ BUSEMANN-PETTY CENTROID INEQUALITY FOR LOG-CONCAVE FUNCTIONS
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作者 Xiao LI Jiazu ZHOU 《Acta Mathematica Scientia》 2025年第1期52-71,共20页
In this paper,the Orlicz centroid function for log-concave functions is introduced.A rearrangement inequality of the Orlicz centroid function for log-concave functions is obtained.The rearrangement inequality implies ... In this paper,the Orlicz centroid function for log-concave functions is introduced.A rearrangement inequality of the Orlicz centroid function for log-concave functions is obtained.The rearrangement inequality implies the Orlicz Busemann-Petty centroid inequality of Lutwak,Yang and Zhang[23]. 展开更多
关键词 centroid bodies Busemann-Petty centroid inequality log-concave functions Steiner symmetrization
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Measurement device and method for mass and centroid of large aircraft
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作者 ZHANG Xiaolin ZHANG Yuyang +2 位作者 YANG Lifeng ZHAO Hongzhi WANG Meibao 《Journal of Measurement Science and Instrumentation》 2025年第3期341-349,共9页
The precise acquisition of the quality characteristic parameters of large aircraft directly affects its performance characteristics.For large aircrafts such as missiles and rockets with internal fillings,traditional m... The precise acquisition of the quality characteristic parameters of large aircraft directly affects its performance characteristics.For large aircrafts such as missiles and rockets with internal fillings,traditional measurement methods involving large-angle tilting or rotation may pose safety risks.In light of the characteristics of large aircraft and in combination with existing measurement methods,we design a mass and centroid measurement method based on four-point support and small-angle tilting,and develop a set of mass and centroid testing system.This method obtains the intersection point of the gravity action line in the product coordinate system through coordinate transformation in two postures,thereby obtaining the three-dimensional centroid of the aircraft.We first elaborate on the principle of this method in detail,then introduce the composition of the equipment,and analyze the structural stress of key components.Finally,experimental verification and uncertainty analysis are carried out.Experimental verification shows that the maximum deviation of the mass measurement accuracy is less than 0.02%,the centroid measurement accuracy in the X direction is±0.15 mm,in the Y direction it is±0.21 mm,and in the Z direction it is±0.19 mm. 展开更多
关键词 large aircraft centroid measurement coordinate transformation multi-point weighing method gravity line
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Capturability-based Fuzzy Footstep Planner for a Biped Robot with Centroidal Compliance
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作者 Zihan Xu Qin Fang +1 位作者 Yong Ren Chengju Liu 《Journal of Bionic Engineering》 SCIE EI CSCD 2024年第1期84-100,共17页
Compliance motion and footstep adjustment are active balance control strategies from learning human subconscious behaviors.The force estimation without direct end-actuator force measurement and the optimal footsteps b... Compliance motion and footstep adjustment are active balance control strategies from learning human subconscious behaviors.The force estimation without direct end-actuator force measurement and the optimal footsteps based on complex analytical calculation are still challenging tasks for elementary and kid-size position-controlled robots.In this paper,an online compliant controller with Gravity Projection Observer(GPO),which can express the external force condition of perturbations by the estimated Projection of Gravity(PoG)with estimation covariance,is proposed for the realization of disturbance absorption,with which the robustness of the humanoid contact with environments can be maintained.The fuzzy footstep planner based on capturability analysis is proposed,and the Model Predictive Control(MPC)is applied to generate the desired steps.The fuzzification rules are well-designed and give the corresponding control output responding to complex and changeable external disturbances.To validate the presented methods,a series of experiments on a real humanoid robot are conducted.The results verify the effectiveness of the proposed balance control framework. 展开更多
关键词 Biped walking centroidal compliance Gravity projection observer Fuzzy footstep planner
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A typhoon-induced storm surge numerical model with GPU acceleration based on an unstructured spherical centroidal Voronoi tessellation grid
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作者 Yuanyong Gao Fujiang Yu +2 位作者 Cifu Fu Jianxi Dong Qiuxing Liu 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2024年第3期40-47,共8页
Storm surge is often the marine disaster that poses the greatest threat to life and property in coastal areas.Accurate and timely issuance of storm surge warnings to take appropriate countermeasures is an important me... Storm surge is often the marine disaster that poses the greatest threat to life and property in coastal areas.Accurate and timely issuance of storm surge warnings to take appropriate countermeasures is an important means to reduce storm surge-related losses.Storm surge numerical models are important for storm surge forecasting.To further improve the performance of the storm surge forecast models,we developed a numerical storm surge forecast model based on an unstructured spherical centroidal Voronoi tessellation(SCVT)grid.The model is based on shallow water equations in vector-invariant form,and is discretized by Arakawa C grid.The SCVT grid can not only better describe the coastline information but also avoid rigid transitions,and it has a better global consistency by generating high-resolution grids in the key areas through transition refinement.In addition,the simulation speed of the model is accelerated by using the openACC-based GPU acceleration technology to meet the timeliness requirements of operational ensemble forecast.It only takes 37 s to simulate a day in the coastal waters of China.The newly developed storm surge model was applied to simulate typhoon-induced storm surges in the coastal waters of China.The hindcast experiments on the selected representative typhoon-induced storm surge processes indicate that the model can reasonably simulate the distribution characteristics of storm surges.The simulated maximum storm surges and their occurrence times are consistent with the observed data at the representative tide gauge stations,and the mean absolute errors are 3.5 cm and 0.6 h respectively,showing high accuracy and application prospects. 展开更多
关键词 typhoon-induced storm surge numerical model GPU acceleration unstructured grid spherical centroidal Voronoi tessellation(SCVT)
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Implementing and evaluating an automatic centroid moment tensor procedure for the Indonesia region and surrounding areas
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作者 Madlazim Muhammad Nurul Fahmi +2 位作者 Dyah Permata Sari Ella Meilianda Sorja Koesuma 《Earth and Planetary Physics》 EI CAS CSCD 2024年第4期609-620,共12页
The purpose of this research was to suggest an applicable procedure for computing the centroid moment tensor(CMT)automatically and in real time from earthquakes that occur in Indonesia and the surrounding areas.Gisola... The purpose of this research was to suggest an applicable procedure for computing the centroid moment tensor(CMT)automatically and in real time from earthquakes that occur in Indonesia and the surrounding areas.Gisola software was used to estimate the CMT solution by selecting the velocity model that best suited the local and regional geological conditions in Indonesia and the surrounding areas.The data used in this study were earthquakes with magnitudes of 5.4 to 8.0.High-quality,real-time broadband seismographic data were provided by the International Federation of Digital Seismograph Networks Web Services(FDSNWS)and the European Integrated Data Archive(EIDA)Federation in Indonesia and the surrounding areas.Furthermore,the inversion process and filter adjustment were carried out on the seismographic data to obtain good CMT solutions.The CMT solutions from Gisola provided good-quality solutions,in which all earthquake data had A-level quality(high quality,with good variant reduction).The Gisola CMT solution was justified with the Global CMT(GCMT)solution by using the Kagan angle value,with an average of approximately 11.2°.This result suggested that the CMT solution generated from Gisola was trustworthy and reliable.The Gisola CMT solution was typically available within approximately 15 minutes after an earthquake occurred.Once it met the quality requirement,it was automatically published on the internet.The catalog of local and regional earthquake records obtained through this technology holds great promise for improving the current understanding of regional seismic activity and ongoing tectonic processes.The accurate and real-time CMT solution generated by implementing the Gisola algorithm consisted of moment tensors and moment magnitudes,which provided invaluable insights into earthquakes occurring in Indonesia and the surrounding areas. 展开更多
关键词 centroid moment tensor Gisola International Federation of Digital Seismograph Networks Web Services(FDSNWS) real time Indonesia
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Bionic Jumping of Humanoid Robot via Online Centroid Trajectory Optimization and High Dynamic Motion Controller
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作者 Xiangji Wang Wei Guo +3 位作者 Zhicheng He Rongchao Li Fusheng Zha Lining Sun 《Journal of Bionic Engineering》 CSCD 2024年第6期2759-2778,共20页
The dynamic motion capability of humanoid robots is a key indicator for evaluating their performance.Jumping,as a typical dynamic motion,is of great significance for enhancing the robot’s flexibility and terrain adap... The dynamic motion capability of humanoid robots is a key indicator for evaluating their performance.Jumping,as a typical dynamic motion,is of great significance for enhancing the robot’s flexibility and terrain adaptability in unstructured environments.However,achieving high-dynamic jumping control of humanoid robots has become a challenge due to the high degree of freedom and strongly coupled dynamic characteristics.The idea for this paper originated from the human response process to jumping commands,aiming to achieve online trajectory optimization and jumping motion control of humanoid robots.Firstly,we employ nonlinear optimization in combination with the Single Rigid Body Model(SRBM)to generate a robot’s Center of Mass(CoM)trajectory that complies with physical constraints and minimizes the angular momentum of the CoM.Then,a Model Predictive Controller(MPC)is designed to track and control the CoM trajectory,obtaining the required contact forces at the robot’s feet.Finally,a Whole-Body Controller(WBC)is used to generate full-body joint motion trajectories and driving torques,based on the prioritized sequence of tasks designed for the jumping process.The control framework proposed in this paper considers the dynamic characteristics of the robot’s jumping process,with a focus on improving the real-time performance of trajectory optimization and the robustness of controller.Simulation and experimental results demonstrate that our robot successfully executed high jump motions,long jump motions and continuous jump motions under complex working conditions. 展开更多
关键词 Humanoid robots Jumping motion control centroid trajectory optimization Optimization and optimal control
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Analysis of the COVID-19, Outbreak in Brazil Using Topological Weighted Centroid: An Intelligent Geographic Information System Approach
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作者 Masoud Asadi-Zeydabadi Marina Mizukoshi +2 位作者 Massimo Buscema Giulia Massini Weldon Lodwick 《Journal of Data Analysis and Information Processing》 2024年第2期248-266,共19页
This study used Topological Weighted Centroid (TWC) to analyze the Coronavirus outbreak in Brazil. This analysis only uses latitude and longitude in formation of the capitals with the confirmed cases on May 24, 2020 t... This study used Topological Weighted Centroid (TWC) to analyze the Coronavirus outbreak in Brazil. This analysis only uses latitude and longitude in formation of the capitals with the confirmed cases on May 24, 2020 to illustrate the usefulness of TWC though any date could have been used. There are three types of TWC analyses, each type having five associated algorithms that produce fifteen maps, TWC-Original, TWC-Frequency and TWC-Windowing. We focus on TWC-Original to illustrate our approach. The TWC method without using the transportation information predicts the network for COVID-19 outbreak that matches very well with the main radial transportation routes network in Brazil. 展开更多
关键词 COVID-19 Topological Weighted centroid (TWC) Algorithms TWC-Original TWC-Frequency and TWC-Windowing
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甘蔗整秆立式收获集捆装置多刚体动力学仿真与试验 被引量:1
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作者 徐凤英 夏腾飞 +3 位作者 刘庆庭 邹小平 陈震 罗菊川 《华南农业大学学报》 北大核心 2025年第1期124-132,共9页
【目的】解决甘蔗整秆立式收获缺乏集捆装置,导致甘蔗收获机体型大、难于在复杂地形有序集捆问题。【方法】设计了一种用于直立甘蔗整秆立式收获的集捆装置;基于多刚体动力学分析,采用仿真试验和台架试验分别考察了甘蔗整秆在不同控制因... 【目的】解决甘蔗整秆立式收获缺乏集捆装置,导致甘蔗收获机体型大、难于在复杂地形有序集捆问题。【方法】设计了一种用于直立甘蔗整秆立式收获的集捆装置;基于多刚体动力学分析,采用仿真试验和台架试验分别考察了甘蔗整秆在不同控制因素(下转指高度和转速)组合模式下的作业指标与性能(甘蔗质心高度、集捆成功率)。【结果】下转指高度和转速均显著影响甘蔗整秆的集捆成功率(P<0.05),台架试验与仿真试验的结果基本一致。在18个集捆模式中,下转指高度为400 mm、转速为30 r/min模式的集捆成功率100%,集捆过程中甘蔗整秆质心高度呈V型动态,作业安全性最高,推荐作为优选模式。【结论】研制的甘蔗整秆立式集捆装置空间结构紧凑、集捆成功率高,可适应广大丘陵山区复杂地形条件下的甘蔗高效收获;揭示的集捆过程机制对研制甘蔗整秆联合收获机械有广泛的参考价值。 展开更多
关键词 甘蔗整秆 立式集捆装置 质心高度 集捆成功率 机械化收获
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小麦切片机种子定位定向与预切姿态调整系统研究
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作者 李扬 陈云飞 +3 位作者 郭祥雨 李天华 王士宁 郭晶 《农业机械学报》 北大核心 2025年第11期329-338,共10页
针对研制的小麦切片机种子定位定向和姿态调整过程中,因种子粒径小、形状不规则,存在识别定位精度低、种子姿态难判别的问题,在前期设计的小麦种子切片机机械结构基础上,开发一套种子定位定向与预切姿态调整系统,为小麦种子切片提供良... 针对研制的小麦切片机种子定位定向和姿态调整过程中,因种子粒径小、形状不规则,存在识别定位精度低、种子姿态难判别的问题,在前期设计的小麦种子切片机机械结构基础上,开发一套种子定位定向与预切姿态调整系统,为小麦种子切片提供良好的预切姿态。首先,设计了包括工业相机、并联机械臂和电动夹爪的种子定位和姿态调整系统结构,优选硬件参数,将系统进行了合理部署,并阐明了其工作原理;其次,利用工业相机采集小麦种子图像,建立小麦种子数据集,并对小麦胚芽端进行语义标注,基于YOLO v8的语义分割框架训练小麦种子识别分割网络,通过加入Shuffle Attention机制对模型进行结构改进,提高种子图像分割精度,并在对种子进行精准语义分割基础上,提出了一种由掩码轮廓求取形心的算法,通过对种子胚乳、胚芽端的形心匹配,以实现对小麦种子位置、姿态的高效精准检测;最后,试验结果表明:添加注意力机制所获得权重参数比原本模型高1.5%,平均精度均值提高8.46%,改进的YOLO v8模型在数据集上的平均检测时间为18.91 ms,小麦种子姿态调整的正确率为91.30%,姿态检测算法的平均正确率为92.93%,姿态角的误差范围为-3.50°~3.50°,得到的平均绝对误差为1.66°,种子数据采集阶段平均耗时9.17 s,抓取阶段平均耗时6.21 s,返回切割区阶段平均耗时5.74 s,整个工作流程平均作业时间为21.11 s,在允许误差范围内,验证了本研究在小麦种子定位、姿态识别方面具有较高的精度,能够有效进行种子预切姿态的调整。 展开更多
关键词 小麦 切片机 种子定位定向 姿态调整 形心匹配
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基于变分稀疏高斯过程的多机器人协同感知与围捕
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作者 曹凯 陈阳泉 +3 位作者 魏云博 刘志 陈超波 高嵩 《自动化学报》 北大核心 2025年第4期778-791,共14页
针对未知环境下的多机器人环境感知和围捕问题,提出一种基于变分稀疏高斯过程回归的分布式感知与围捕算法.考虑到传统高斯过程回归不适合处理大量数据的问题,在这项工作中,首先考虑障碍物的影响,以引入分离超平面的质心维诺划分算法为... 针对未知环境下的多机器人环境感知和围捕问题,提出一种基于变分稀疏高斯过程回归的分布式感知与围捕算法.考虑到传统高斯过程回归不适合处理大量数据的问题,在这项工作中,首先考虑障碍物的影响,以引入分离超平面的质心维诺划分算法为机器人动态规划任务区域;其次,利用多机器人在任务区域中的移动探索获取环境信息,并通过变分自由方法来近似模型的后验分布,完成对未知环境的感知;最后,基于粒子群优算法为围捕机器人动态分配围捕点,实现多机器人的全方位均匀围捕.通过仿真实验证明,该算法能够适用于单源、多源以及动态源的围捕,且能够在保证多机器人编队安全性的同时,实现较高的迭代速度,最终成功实现均匀围捕. 展开更多
关键词 多机器人 质心维诺划分 变分稀疏高斯过程回归 围捕 协同感知
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多策略改进侏儒猫鼬算法的无人机三维路径规划 被引量:1
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作者 李路 杨帆 吕立新 《佛山科学技术学院学报(自然科学版)》 2025年第1期34-40,共7页
针对侏儒猫鼬优化算法(Dwarf Mongoose Optimization,DMO)在求解无人机三维路径规划问题时存在收敛速度慢、收敛精度不高等缺点,提出了一种多策略改进的侏儒猫鼬算法(Improved Dwarf Mongoose Optimization,IDMO),该算法使用最优领导和... 针对侏儒猫鼬优化算法(Dwarf Mongoose Optimization,DMO)在求解无人机三维路径规划问题时存在收敛速度慢、收敛精度不高等缺点,提出了一种多策略改进的侏儒猫鼬算法(Improved Dwarf Mongoose Optimization,IDMO),该算法使用最优领导和高斯变异的候选食物生成策略增强个体寻优能力,使用基于正弦函数的动态收敛因子来有效平衡算法的探索和开发能力;使用基于质心导向的探索策略来扩大算法的搜索空间,增强算法找到全局最优解的能力。为验证算法的有效性,在12个标准的测试函数和无人机三维路径规化问题上进行了数值实验和仿真分析,并且和另外5种群智能算法进行了对比。实验结果表明,IDMO在收敛速度、寻优精度上均优于对比算法,具有较好的鲁棒性、可扩展性。 展开更多
关键词 侏儒猫鼬优化算法 动态收敛因子 高斯变异 质心导向策略 无人机三维路径规划
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基于磁异常居里面深度反演的南黄海盆地热流分布特征
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作者 徐波 李龑 刘绍文 《地球物理学报》 北大核心 2025年第12期4714-4728,共15页
沉积盆地热体制与油气的形成、聚集和保存息息相关.南黄海盆地油气勘探虽起步较早,但至今未发现商业油气藏,其复杂的构造-热演化过程备受关注.由于南黄海地区实测热流数据严重不足,制约了对该区域真实热状态的认识.本研究采用最新的地... 沉积盆地热体制与油气的形成、聚集和保存息息相关.南黄海盆地油气勘探虽起步较早,但至今未发现商业油气藏,其复杂的构造-热演化过程备受关注.由于南黄海地区实测热流数据严重不足,制约了对该区域真实热状态的认识.本研究采用最新的地球磁异常模型EMAG2_V3,通过随机磁化模型的波数域质心法精确计算得到南黄海盆地的居里面深度;并结合已有的实测热流数据,利用一维稳态热传导方程拟合出最优热导率等热参数,进而反演出该区的海底热流.结果显示,南黄海盆地居里面整体呈现出东浅西深,南浅北深的分布特征,其平均深度为27.8±1.1 km;居里面总体浅于莫霍面,仅在北部坳陷和中部隆起部分区域略深于莫霍面,推测与这些区域早期形成的巨厚沉积物有关.通过地热参数拟合得出南黄海盆地的最优平均热导率(k)为2.7 W·(m·℃)^(-1),并据此反演出该区域的平均热流为69 mW·m^(-2),空间上呈现出东高西低,南高北低的分布特征,这一分布格局主要受区域断裂活动、岩浆作用以及沉积物热屏蔽效应等影响.上述发现为南黄海盆地热结构研究提供了新认识,并为区域油气资源评价和勘探提供了地热学依据. 展开更多
关键词 居里面 磁异常 质心法 海底热流 热导率 南黄海盆地
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未知质心物体转动惯量测量方法探究
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作者 邓小伟 余征跃 《实验室研究与探索》 北大核心 2025年第7期16-19,32,共5页
针对质心未知的物体,提出了一种基于三线扭摆法的转动惯量测量的新方法,该方法将两件相同试样镜像对称摆放,使其组合质心始终位于圆盘中心;通过对试样进行多次平移,结合三线扭摆法和平移轴定理进行解析计算,最终获得试样关于质心的转动... 针对质心未知的物体,提出了一种基于三线扭摆法的转动惯量测量的新方法,该方法将两件相同试样镜像对称摆放,使其组合质心始终位于圆盘中心;通过对试样进行多次平移,结合三线扭摆法和平移轴定理进行解析计算,最终获得试样关于质心的转动惯量。经试验验证表明,该方法测量结果与理论计算结果误差小于2%,方法具有可操作性和精确性,为质心难以准确测量的工程结构转动惯量测量提供了参考。 展开更多
关键词 质心未知 转动惯量 三线扭摆法 镜像对称摆放
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基于UWB与改进加权质心的矿井人机定位算法
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作者 徐慧琼 胡立锋 《金属矿山》 北大核心 2025年第3期196-201,共6页
矿井人机定位是矿山安全生产和智能矿山建设的重要技术手段,为提高井下人机定位的精度和稳定性,提出了一种基于超宽带(UWB)与改进加权质心的定位算法。该算法利用UWB信号的高时空分辨率和抗多径干扰能力,结合改进加权质心算法的低计算... 矿井人机定位是矿山安全生产和智能矿山建设的重要技术手段,为提高井下人机定位的精度和稳定性,提出了一种基于超宽带(UWB)与改进加权质心的定位算法。该算法利用UWB信号的高时空分辨率和抗多径干扰能力,结合改进加权质心算法的低计算复杂度特点,实现矿井环境中的人机定位。首先通过对UWB信号的到达时间进行测量,得到定位节点与锚节点之间的距离;再根据距离的不确定性,采用一种基于概率分布的权重计算方法,对每个锚节点赋予一个合理的权重;最后根据加权质心公式,计算出定位节点坐标。试验结果表明:与传统的加权质心算法和最小二乘算法相比,该算法具有更高的定位精度和更低的定位误差,为井下人机定位提供了一种新方法,对于提升矿井智能化水平有一定的意义。 展开更多
关键词 矿井人机定位 UWB 改进加权质心 智能矿山
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一种基于AE-SVD模态重心频率的汽车助力转向泵裂纹转子在线辨识研究
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作者 祝新军 李明 +2 位作者 金丹 裘杭锋 刘冬 《振动与冲击》 北大核心 2025年第19期257-263,共7页
针对汽车助力转向泵转子裂纹的动态辨识问题,提出了一种基于多传感器的声发射(acoustic emission,AE)重心频率的判定方法。首先,在同一个泵体中分别安装合格与裂纹转子,在同样的试验条件下从吸油和压油盘附近采集4路AE信号,采样频率为1 ... 针对汽车助力转向泵转子裂纹的动态辨识问题,提出了一种基于多传感器的声发射(acoustic emission,AE)重心频率的判定方法。首先,在同一个泵体中分别安装合格与裂纹转子,在同样的试验条件下从吸油和压油盘附近采集4路AE信号,采样频率为1 MHz;然后,从4个传感器采集的AE信号中按照单个周期长度截取子信号,经白化处理后构造AE信号矩阵,并对AE信号矩阵进行奇异值分解(singular value decomposition,SVD),根据分解结果提取4个正交模态向量;最后,对每个正交模态进行3层小波包分解,分别计算第3层前4个节点的重心频率,并通过与阈值的比较实现裂纹转子的判定。研究结果表明,在压力7 MPa和转速1000 r/min的试验条件下,对SVD得到的第2个模态进行3层小波包分解后,第2个节点的重心频率在阈值为95 kHz时能够可靠识别裂纹转子。 展开更多
关键词 声发射(AE) 奇异值分解(SVD) 正交模态 重心频率 助力转向泵 裂纹转子
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机载毫米波雷达多普勒中心频率估计方法
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作者 尚士泽 周洋 +3 位作者 陈亚伟 程强 夏凌昊 杨予昊 《太赫兹科学与电子信息学报》 2025年第1期56-60,共5页
由于毫米波雷达波长短,在一定的脉冲重复频率(PRF)条件下更容易产生方位采样模糊,且成像质量受多普勒中心频率估计影响较大。为此,提出一种联合惯导信息和回波包络对称匹配的多普勒中心频率估计方法,能够为毫米波合成孔径雷达(SAR)成像... 由于毫米波雷达波长短,在一定的脉冲重复频率(PRF)条件下更容易产生方位采样模糊,且成像质量受多普勒中心频率估计影响较大。为此,提出一种联合惯导信息和回波包络对称匹配的多普勒中心频率估计方法,能够为毫米波合成孔径雷达(SAR)成像精确估计多普勒中心频率进而实现稳定连续出图的目的。先利用惯导信息解算方位采样模糊数,再利用提出的回波包络对称匹配方法实现多普勒中心频率精确估计。该方法估计精确度高且算法复杂度低,适用于不同频段雷达和多种时频域成像算法,具有良好普适性。通过对SAR图像序列的连续估计以及算法性能对比,验证了本文算法的有效性。 展开更多
关键词 毫米波雷达 多普勒中心频率估计 包络对称匹配 惯导信息
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基于空间变换网络和特征分布校准的小样本皮肤图像分类模型
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作者 王静 刘嘉星 +2 位作者 宋婉莹 薛嘉兴 丁温欣 《计算机应用》 北大核心 2025年第8期2720-2726,共7页
基于深度学习的图像分类模型通常需要大量标记数据,然而,在医学领域的皮肤病变分类任务中,收集大量图像数据面临着诸多挑战。为了能准确分类小样本皮肤疾病,提出一种基于空间变换网络(STN)和特征分布校准的小样本分类模型。首先,将迁移... 基于深度学习的图像分类模型通常需要大量标记数据,然而,在医学领域的皮肤病变分类任务中,收集大量图像数据面临着诸多挑战。为了能准确分类小样本皮肤疾病,提出一种基于空间变换网络(STN)和特征分布校准的小样本分类模型。首先,将迁移学习和元学习相结合,以解决跨域迁移小样本存在的过拟合问题;其次,在预训练分类任务前插入旋转角度预测任务,以便模型更好地适应医学图像数据的高复杂度;再次,在对图像下采样后引入STN,以通过显式地对输入图像进行仿射变换,增强特征的提取和识别能力;最后,通过特征分布校准对新类特征进行约束,并引入最邻近质心算法进行分类决策,在简化算法流程的同时显著提升分类精度。在ISIC2018皮肤病变数据集上的实验结果表明,与当前主流小样本模型Meta-Baseline相比,在2-way和3-way分类任务中,所提模型的平均精度分别提高了11.80和10.82个百分点;与模型MetaMed相比,在2-way 3-shot和3-way 3-shot分类任务中,所提模型的分类精度分别提升了6.65和9.58个百分点。可见,所提模型有效提高了小样本皮肤疾病的分类精度,能够更好地辅助医生提高临床诊断精确度。 展开更多
关键词 小样本学习 图像分类 皮肤病变 空间变换网络 最邻近质心
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