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A VECTOR BUNDLE VALUED MIXED HARD LEFSCHETZ THEOREM
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作者 Zeng CHEN Guanxiang WANG 《Acta Mathematica Scientia》 2025年第2期514-524,共11页
In this paper,we obtain a vector bundle valued mixed hard Lefschetz theorem.The argument is mainly based on the works of Tien-Cuong Dinh and Viet-Anh Nguyen.
关键词 hard Lefschetz theorem holomorphic vector bundle Hermitian fat vector bundle
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The Varieties of Semi-Conformal Vectors of Rank-One Even Lattice Vertex Operator Algebras
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作者 CHU Yan-jun GAO Yi-bo 《Chinese Quarterly Journal of Mathematics》 2025年第1期36-48,共13页
In this paper,we shall study structures of even lattice vertex operator algebras by using the geometry of the varieties of their semi-conformal vectors.We first give the varieties of semi-conformal vectors of a family... In this paper,we shall study structures of even lattice vertex operator algebras by using the geometry of the varieties of their semi-conformal vectors.We first give the varieties of semi-conformal vectors of a family of vertex operator algebras V_(√kA_(1)) associated to rank-one positive definite even lattices √kA_(1) for arbitrary positive integers k to characterize these even lattice vertex operator algebras.In such a family of lattice vertex operator algebras V_(√kA_(1)),the vertex operator algebra V_(√2A_(1)) is different from others.Hence we describe the varieties of semi-conformal vectors of V_(√2A_(1)) and the fixed vertex operator subalgebra V^(+)√2A_(1).Moreover,as applications,we study the relations between vertex operator algebras V_(√kA_(1) )and L_(sl_(2))(k,0)for arbitrary positive integers k by the viewpoint of semi-conformal homomorphisms of vertex operator algebras.For case k=2,in the series of rational simple affine vertex operator algebras L_(sl_(2))(k,0)for positive integers k,we show that L_(sl_(2))(2,0)is a unique frame vertex operator algebra with rank 3. 展开更多
关键词 Vertex operator algebra Semi-conformal vector Affine variety
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Efficient generation of vectorial terahertz beams using surface-wave excited metasurfaces
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作者 Zhuo Wang Weikang Pan +7 位作者 Yu He Zhiyan Zhu Xiangyu Jin Muhan Liu Shaojie Ma Qiong He Shulin Sun Lei Zhou 《Opto-Electronic Science》 2025年第1期1-11,共11页
On-chip devices for generating pre-designed vectorial optical fields(VOFs)under surface wave(SW)excitations are highly desired in integrated photonics.However,conventional devices are usually of large footprints,low e... On-chip devices for generating pre-designed vectorial optical fields(VOFs)under surface wave(SW)excitations are highly desired in integrated photonics.However,conventional devices are usually of large footprints,low efficiencies,and limited wave-control capabilities.Here,we present a generic approach to design ultra-compact on-chip devices that can efficiently generate pre-designed VOFs under SW excitations,and experimentally verify the concept in terahertz(THz)regime.We first describe how to design SW-excitation metasurfaces for generating circularly polarized complex beams,and experimentally demonstrate two meta-devices to realize directional emission and focusing of THz waves with oppo-site circular polarizations,respectively.We then establish a systematic approach to construct an integrated device via merging two carefully designed metasurfaces,which,under SW excitations,can separately produce pre-designed far-field patterns with different circular polarizations and generate target VOF based on their interference.As a proof of con-cept,we demonstrate experimentally a meta-device that can generate a radially polarized Bessel beam under SW excita-tion at~0.4 THz.Experimental results agree well with full-wave simulations,collectively verifying the performance of our device.Our study paves the road to realizing highly integrated on-chip functional THz devices,which may find many ap-plications in biological sensing,communications,displays,image multiplexing,and beyond. 展开更多
关键词 surface waves vector beam multi-pixel metasurface TERAHERTZ ultrathin and high-efficiency
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Modulation of Bessel-like vector vortex beam using the resonant magneto-optical effect in rubidium vapor
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作者 Yan Ma Xin Yang +4 位作者 Hong Chang Ming-Tao Cao Xiao-Fei Zhang Rui-Fang Dong Shou-Gang Zhang 《Chinese Physics B》 2025年第2期274-280,共7页
The Bessel-like vector vortex beam(BlVVB)has gained increasing significance across numerous applications.However,its practical application is restricted by manufacturing difficulties and polarization manipulation.Thus... The Bessel-like vector vortex beam(BlVVB)has gained increasing significance across numerous applications.However,its practical application is restricted by manufacturing difficulties and polarization manipulation.Thus,the ability to manipulate its degrees of freedom is highly desirable.In this paper,the full-domain polarization modulation of BlVVB within a hot atomic ensemble has been investigated.We begin with the theoretical analysis of the resonant magneto-optical effect of atoms with a horizontal linear-polarized beam and experimentally demonstrate precise manipulation of the polarization state across the entire domain of the BlVVB,achieving an error margin of less than 3°at various cross-sectional points.Our study provides a novel approach for the modulation of BlVVB based on atomic media,which holds potential applications in sensitive vector magnetometers,optical communications,and signal processing. 展开更多
关键词 Bessel-like vector vortex beam resonant magneto-optical effect polarization modulation Rb atomic ensemble
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A semantic vector map-based approach for aircraft positioning in GNSS/GPS denied large-scale environment
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作者 Chenguang Ouyang Suxing Hu +6 位作者 Fengqi Long Shuai Shi Zhichao Yu Kaichun Zhao Zheng You Junyin Pi Bowen Xing 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第4期1-10,共10页
Accurate positioning is one of the essential requirements for numerous applications of remote sensing data,especially in the event of a noisy or unreliable satellite signal.Toward this end,we present a novel framework... Accurate positioning is one of the essential requirements for numerous applications of remote sensing data,especially in the event of a noisy or unreliable satellite signal.Toward this end,we present a novel framework for aircraft geo-localization in a large range that only requires a downward-facing monocular camera,an altimeter,a compass,and an open-source Vector Map(VMAP).The algorithm combines the matching and particle filter methods.Shape vector and correlation between two building contour vectors are defined,and a coarse-to-fine building vector matching(CFBVM)method is proposed in the matching stage,for which the original matching results are described by the Gaussian mixture model(GMM).Subsequently,an improved resampling strategy is designed to reduce computing expenses with a huge number of initial particles,and a credibility indicator is designed to avoid location mistakes in the particle filter stage.An experimental evaluation of the approach based on flight data is provided.On a flight at a height of 0.2 km over a flight distance of 2 km,the aircraft is geo-localized in a reference map of 11,025 km~2using 0.09 km~2aerial images without any prior information.The absolute localization error is less than 10 m. 展开更多
关键词 Large-scale positioning Building vector matching Improved particle filter GPS-Denied vector map
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A solution method for decomposing vector fields in Hamilton energy
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作者 Xin Zhao Ming Yi +2 位作者 Zhou-Chao Wei Yuan Zhu Lu-Lu Lu 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第9期645-653,共9页
Hamilton energy,which reflects the energy variation of systems,is one of the crucial instruments used to analyze the characteristics of dynamical systems.Here we propose a method to deduce Hamilton energy based on the... Hamilton energy,which reflects the energy variation of systems,is one of the crucial instruments used to analyze the characteristics of dynamical systems.Here we propose a method to deduce Hamilton energy based on the existing systems.This derivation process consists of three steps:step 1,decomposing the vector field;step 2,solving the Hamilton energy function;and step 3,verifying uniqueness.In order to easily choose an appropriate decomposition method,we propose a classification criterion based on the form of system state variables,i.e.,type-I vector fields that can be directly decomposed and type-II vector fields decomposed via exterior differentiation.Moreover,exterior differentiation is used to represent the curl of low-high dimension vector fields in the process of decomposition.Finally,we exemplify the Hamilton energy function of six classical systems and analyze the relationship between Hamilton energy and dynamic behavior.This solution provides a new approach for deducing the Hamilton energy function,especially in high-dimensional systems. 展开更多
关键词 Hamilton energy dynamical systems vector field exterior differentiation
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Improved Twin Support Vector Machine Algorithm and Applications in Classification Problems
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作者 Sun Yi Wang Zhouyang 《China Communications》 SCIE CSCD 2024年第5期261-279,共19页
The distribution of data has a significant impact on the results of classification.When the distribution of one class is insignificant compared to the distribution of another class,data imbalance occurs.This will resu... The distribution of data has a significant impact on the results of classification.When the distribution of one class is insignificant compared to the distribution of another class,data imbalance occurs.This will result in rising outlier values and noise.Therefore,the speed and performance of classification could be greatly affected.Given the above problems,this paper starts with the motivation and mathematical representing of classification,puts forward a new classification method based on the relationship between different classification formulations.Combined with the vector characteristics of the actual problem and the choice of matrix characteristics,we firstly analyze the orderly regression to introduce slack variables to solve the constraint problem of the lone point.Then we introduce the fuzzy factors to solve the problem of the gap between the isolated points on the basis of the support vector machine.We introduce the cost control to solve the problem of sample skew.Finally,based on the bi-boundary support vector machine,a twostep weight setting twin classifier is constructed.This can help to identify multitasks with feature-selected patterns without the need for additional optimizers,which solves the problem of large-scale classification that can’t deal effectively with the very low category distribution gap. 展开更多
关键词 FUZZY ordered regression(OR) relaxing variables twin support vector machine
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Diffraction deep neural network-based classification for vector vortex beams
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作者 彭怡翔 陈兵 +1 位作者 王乐 赵生妹 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第3期387-392,共6页
The vector vortex beam(VVB)has attracted significant attention due to its intrinsic diversity of information and has found great applications in both classical and quantum communications.However,a VVB is unavoidably a... The vector vortex beam(VVB)has attracted significant attention due to its intrinsic diversity of information and has found great applications in both classical and quantum communications.However,a VVB is unavoidably affected by atmospheric turbulence(AT)when it propagates through the free-space optical communication environment,which results in detection errors at the receiver.In this paper,we propose a VVB classification scheme to detect VVBs with continuously changing polarization states under AT,where a diffractive deep neural network(DDNN)is designed and trained to classify the intensity distribution of the input distorted VVBs,and the horizontal direction of polarization of the input distorted beam is adopted as the feature for the classification through the DDNN.The numerical simulations and experimental results demonstrate that the proposed scheme has high accuracy in classification tasks.The energy distribution percentage remains above 95%from weak to medium AT,and the classification accuracy can remain above 95%for various strengths of turbulence.It has a faster convergence and better accuracy than that based on a convolutional neural network. 展开更多
关键词 vector vortex beam diffractive deep neural network classification atmospheric turbulence
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Spatial quantum coherent modulation with perfect hybrid vector vortex beam based on atomic medium
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作者 马燕 杨欣 +6 位作者 常虹 杨鑫琪 曹明涛 张晓斐 高宏 董瑞芳 张首刚 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第2期360-364,共5页
The perfect hybrid vector vortex beam(PHVVB)with helical phase wavefront structure has aroused significant concern in recent years,as its beam waist does not expand with the topological charge(TC).In this work,we inve... The perfect hybrid vector vortex beam(PHVVB)with helical phase wavefront structure has aroused significant concern in recent years,as its beam waist does not expand with the topological charge(TC).In this work,we investigate the spatial quantum coherent modulation effect with PHVVB based on the atomic medium,and we observe the absorption characteristic of the PHVVB with different TCs under variant magnetic fields.We find that the transmission spectrum linewidth of PHVVB can be effectively maintained regardless of the TC.Still,the width of transmission peaks increases slightly as the beam size expands in hot atomic vapor.This distinctive quantum coherence phenomenon,demonstrated by the interaction of an atomic medium with a hybrid vector-structured beam,might be anticipated to open up new opportunities for quantum coherence modulation and accurate magnetic field measurement. 展开更多
关键词 perfect hybrid vector vortex beam topological charge quantum coherence optical manipulation
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Vector magnetometry in zero bias magnetic field using nitrogen-vacancy ensembles
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作者 Chunxing Li Fa-Zhan Shi +1 位作者 Jingwei Zhou Peng-Fei Wang 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第10期21-29,共9页
The application of the vector magnetometry based on nitrogen-vacancy(NV)ensembles has been widely investigatedin multiple areas.It has the superiority of high sensitivity and high stability in ambient conditions with ... The application of the vector magnetometry based on nitrogen-vacancy(NV)ensembles has been widely investigatedin multiple areas.It has the superiority of high sensitivity and high stability in ambient conditions with microscale spatialresolution.However,a bias magnetic field is necessary to fully separate the resonance lines of optically detected magneticresonance(ODMR)spectrum of NV ensembles.This brings disturbances in samples being detected and limits the rangeof application.Here,we demonstrate a method of vector magnetometry in zero bias magnetic field using NV ensembles.By utilizing the anisotropy property of fluorescence excited from NV centers,we analyzed the ODMR spectrum of NVensembles under various polarized angles of excitation laser in zero bias magnetic field with a quantitative numerical modeland reconstructed the magnetic field vector.The minimum magnetic field modulus that can be resolved accurately is downto~0.64 G theoretically depending on the ODMR spectral line width(1.8 MHz),and~2 G experimentally due to noisesin fluorescence signals and errors in calibration.By using 13C purified and low nitrogen concentration diamond combinedwith improving calibration of unknown parameters,the ODMR spectral line width can be further decreased below 0.5 MHz,corresponding to~0.18 G minimum resolvable magnetic field modulus. 展开更多
关键词 vector magnetometry NV ensembles optically detected magnetic resonance(ODMR) zero bias magnetic field
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基于Support Vector Machine和UPLC-QTOF-MS的人参生长年限数字化鉴定分析
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作者 王献瑞 郭晓晗 +6 位作者 张宇 张佳婷 贺方良 荆文光 李明华 程显隆 魏锋 《中国现代中药》 CAS 2024年第12期2049-2055,共7页
目的:基于超高效液相色谱-四极杆飞行时间质谱法(UPLC-QTOF-MS)分析并经量化处理,结合支持向量机(SVM)进行数据建模,对人参生长年限进行数字化鉴定分析。方法:对3、4、5、15年生的人参样品进行UPLC-QTOF-MS分析,以混合质量控制样品为基... 目的:基于超高效液相色谱-四极杆飞行时间质谱法(UPLC-QTOF-MS)分析并经量化处理,结合支持向量机(SVM)进行数据建模,对人参生长年限进行数字化鉴定分析。方法:对3、4、5、15年生的人参样品进行UPLC-QTOF-MS分析,以混合质量控制样品为基准进行峰位校正、提取并经量化处理,获取反映化学成分信息的精确质量数-保留时间数据对(EMRT)。结合SVM进行数据建模,同时在5、10、20折内部交叉验证的基础上,通过准确率(Acc)、精确率(P)、曲线下面积(AUC)等参数进行模型评价。基于所建数据模型进行人参生长年限的鉴定。结果:经量化处理后80批人参均获得6556个EMRT,结合SVM建立的数据模型具有优秀的辨识效果,Acc、P及AUC均大于0.900且外部鉴定验证正确率为100%。结论:基于UPLC-QTOF-MS分析,并结合SVM算法能够高效准确地实现人参生长年限的数字化鉴定,可为中药材生长年限鉴定探索及中药质量控制提供参考。 展开更多
关键词 人参 生长年限 机器学习 支持向量机 数字化 超高效液相色谱-四极杆飞行时间质谱法
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基于Vector 3D Tiles格式的三维矢量数据可视化研究
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作者 熊英 周志远 邬俊 《城市勘测》 2024年第5期73-77,共5页
为了探究Vector 3D Tiles格式在三维矢量地物表达方面的效果和性能,研究了一套Vector 3D Tiles格式生产和表达工具,用于在Cesium平台上对矢量数据进行可视化展示。主要工作包括两部分:一是将数据从传统的矢量格式转换为Vector 3D Tiles... 为了探究Vector 3D Tiles格式在三维矢量地物表达方面的效果和性能,研究了一套Vector 3D Tiles格式生产和表达工具,用于在Cesium平台上对矢量数据进行可视化展示。主要工作包括两部分:一是将数据从传统的矢量格式转换为Vector 3D Tiles格式,二是在Cesium平台上展示转换后的Vector 3D Tiles数据。为了验证方法可行性,采用广州市地下管线数据开展了实验,对Shapefile、GeoJSON二维矢量格式进行处理,生成Vector 3D Tiles格式后,在Cesium平台上进行三维可视化展示。通过不同格式数据的加载效率和呈现效果比较,证明了矢量切片数据比原始矢量格式加载更快、渲染更平滑。在此基础上,对矢量切片数据基于自定义三维样式的渲染能力进行了验证。 展开更多
关键词 矢量切片 3D-GIS CESIUM 3D Tiles 地下管线可视化 矢量数据可视化
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基于PSO−SVR的掘进工作面风温预测
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作者 李延河 万志军 +6 位作者 于振子 苟红 赵万里 周嘉乐 师鹏 甄正 张源 《煤炭科学技术》 北大核心 2025年第1期183-191,共9页
随着我国浅部煤炭资源的逐渐枯竭,矿井开采深度日益增大,热害问题也随之加剧。采掘作业空间是井下的主要热害场所,对其进行热害防治是矿井安全高效生产的重要基础。矿井热害治理的前提是明确其冷负荷,因此对采掘作业空间风温进行精准预... 随着我国浅部煤炭资源的逐渐枯竭,矿井开采深度日益增大,热害问题也随之加剧。采掘作业空间是井下的主要热害场所,对其进行热害防治是矿井安全高效生产的重要基础。矿井热害治理的前提是明确其冷负荷,因此对采掘作业空间风温进行精准预测意义重大。建立了基于PSO-SVR(基于粒子群的支持向量回归)的掘进工作面风温预测模型,利用模型中的惩罚因子C和核函数参数g对模型进行了寻优。通过现场实测及文献调研,建立了掘进工作面风温预测训练样本集。通过与最小二乘法估计MLR模型和经“试错法”标定参数的常规SVR模型进行对比,分析了PSO-SVR算法的优势。将PSO-SVR算法模型应用于平煤十矿己-24120保护层风巷风温预测,并依据风温预测结果,指导了制冷机组的选型和降温方案设计。结果表明:PSO-SVR模型预测性能最优,模型绝对误差百分比仅为1.85%,较常规SVR模型减小了55.9%,可见PSO优化模型参数对于提高SVR拟合度、泛化性及预测精度具有重要作用。巷道每掘进100m,工作面风流平均温升0.16℃,掘进至2000m时巷道迎头风温升至35.8℃。己-24120保护层风巷需冷量为1083.28kW,设计制冷机组总制冷量为1085 kW。己-24120保护层风巷实施降温后,工作面平均温降8.6℃,降温效果显著,表明了PSO-SVR掘进工作面风温预测模型的可靠性和可行性。 展开更多
关键词 掘进工作面 风温预测 粒子群 支持向量回归 矿井降温
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基于机器学习的30%TBP/煤油-硝酸体系中主要组分的分配比预测研究
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作者 于婷 张音音 +6 位作者 张睿志 金文蕾 罗应婷 朱升峰 何辉 叶国安 龚禾林 《原子能科学技术》 北大核心 2025年第1期14-23,共10页
为最优化后处理过程的实验条件、优化工艺、降低实验成本和时间,并提高后处理流程数学模拟的准确性,本文基于随机森林、支持向量回归和K近邻这3种经典的机器学习算法建立了30%TBP/煤油-硝酸体系中主要组分铀、钚、硝酸的分配比数学模型... 为最优化后处理过程的实验条件、优化工艺、降低实验成本和时间,并提高后处理流程数学模拟的准确性,本文基于随机森林、支持向量回归和K近邻这3种经典的机器学习算法建立了30%TBP/煤油-硝酸体系中主要组分铀、钚、硝酸的分配比数学模型,并基于不同数据集进行了超参数优化和模型训练。通过对模型进行验证和测试,发现采用随机森林算法建立的分配比模型准确度最高,其对铀预测的平均绝对相对误差达7.73%,较传统方法提高了约7%。与传统建模方法相比,机器学习方法建立模型的准确度更高。 展开更多
关键词 分配比数学模型 随机森林 支持向量回归 K近邻
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融合改进卷积神经网络和层次SVM的鸡蛋外观检测
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作者 姚万鹏 张凌晓 +1 位作者 赵肖峰 王飞成 《食品与机械》 北大核心 2025年第1期158-164,共7页
[目的]实现鸡蛋精细化分类和提高鸡蛋外观检测的准确率。[方法]提出一种融合改进卷积神经网络和层次SVM的鸡蛋外观检测方案。(1)采用鸡蛋机器视觉图像采集设备获取不同方位、不同外观鸡蛋图像,并运用图像增强技术扩充鸡蛋图像数据库。(2... [目的]实现鸡蛋精细化分类和提高鸡蛋外观检测的准确率。[方法]提出一种融合改进卷积神经网络和层次SVM的鸡蛋外观检测方案。(1)采用鸡蛋机器视觉图像采集设备获取不同方位、不同外观鸡蛋图像,并运用图像增强技术扩充鸡蛋图像数据库。(2)设计改进的浣熊优化算法(coati optimization algorithm,COA)和FCM聚类算法,在此基础上对卷积神经网络(convolutional neural network,CNN)模型结构和超参数进行优化,以提升CNN泛化能力。运用优化后的CNN深度学习鸡蛋图像数据库,从而实现鸡蛋外观图像特征的有效提取。(3)建立层次支持向量机鸡蛋外观分类工具,最终实现对鸡蛋外观的准确检测分类。[结果]所提鸡蛋外观检测方案的检测准确率提高了1.74%~4.31%,检测时间降低了21.68%~53.51%。[结论]所提方法能够有效实现对鸡蛋的在线实时精细化分类。 展开更多
关键词 鸡蛋外观 卷积神经网络 浣熊优化算法 支持向量机 特征提取
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同源重组法衣原体RNA聚合酶表达载体的构建和应用
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作者 石禹 包小峰 《医学研究与战创伤救治》 北大核心 2025年第2期113-119,共7页
目的利用同源重组法构建衣原体RNA聚合酶(cRNAP)各亚基质粒,转化入大肠埃希菌中表达蛋白并探讨其在衣原体转录调控中的应用。方法根据Gen Bank中的基因序列设计特异性引物,聚合酶链式反应(PCR)扩增cRNAP各亚基的目的基因片段,对PCR产物... 目的利用同源重组法构建衣原体RNA聚合酶(cRNAP)各亚基质粒,转化入大肠埃希菌中表达蛋白并探讨其在衣原体转录调控中的应用。方法根据Gen Bank中的基因序列设计特异性引物,聚合酶链式反应(PCR)扩增cRNAP各亚基的目的基因片段,对PCR产物进行纯化,质粒载体进行质粒抽提、质粒酶切、胶回收等处理。采用同源重组法将基因片段插入到目的载体进行片段融合构建cRNAP各亚基表达质粒,融合产物转化后用特异性引物进行PCR验证和测序。构建好的融合产物转化入大肠埃希菌化学感受态细胞表达蛋白。结果成功构建cRNAP各亚基质粒并成功表达cRNAP各亚基蛋白,研究了衣原体转录调节因子GrgA与cRNAP的直接相互作用是GrgA与cRNAP的α、β′亚基有结合,与β亚基无结合。两者可以作为衣原体感染治疗和预防的药物作用新靶点。结论同源重组法可用于构建cRNAP各亚基质粒并成功表达相应蛋白,并用于研究转录调节因子GrgA与cRNAP各亚基蛋白的结合位点,为衣原体感染治疗和预防药物作用新靶点的研究提供参考信息。 展开更多
关键词 同源重组法 衣原体 cRNAP 亚基 质粒载体 融合蛋白
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基于SVM的列车制动预测模型
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作者 房楠 朱亚男 《时代汽车》 2025年第3期187-189,共3页
列车制动系统是保障列车行车安全和高效运行的关键组成部分,本文提出了一种基于支持向量机(SVM)方法的列车制动预测模型。该模型分析列车制动过程,采用制动实车数据构建适用于SVM的训练数据集,通过优化调节模型参数,利用SVM算法实现了... 列车制动系统是保障列车行车安全和高效运行的关键组成部分,本文提出了一种基于支持向量机(SVM)方法的列车制动预测模型。该模型分析列车制动过程,采用制动实车数据构建适用于SVM的训练数据集,通过优化调节模型参数,利用SVM算法实现了列车制动预测。经线路实车数据验证评估,该模型在3分钟内预测准确度高于97.3%,在列车制动预测中具有可靠的时效性和准确性,能够有效应用于实际列车运行中的制动预测任务。 展开更多
关键词 支持向量机(SVM) 列车制动 运行数据
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考虑关节间隙的可调矢量喷管动力学特性
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作者 罗忠 赵江 +1 位作者 许春阳 曹航 《东北大学学报(自然科学版)》 北大核心 2025年第1期61-67,75,共8页
针对航空发动机可调矢量喷管机构运动稳定性差的问题,开展了间隙对其动力学特性影响的研究.首先,采用第一类Lagrange方程建立可调矢量喷管单链机构动力学模型,得到单链机构驱动力变化曲线.然后采用Lankarani-Nikravesh接触力模型和修正... 针对航空发动机可调矢量喷管机构运动稳定性差的问题,开展了间隙对其动力学特性影响的研究.首先,采用第一类Lagrange方程建立可调矢量喷管单链机构动力学模型,得到单链机构驱动力变化曲线.然后采用Lankarani-Nikravesh接触力模型和修正的Coulomb摩擦模型建立运动副间隙模型,并利用函数在动力学仿真软件中构建间隙模型.最后基于虚拟样机技术建立含关节间隙的单链机构动力学模型,仿真分析了间隙位置、间隙尺寸对可调矢量喷管机构动力学特性的影响.结果表明,间隙与气动力的力臂越大,系统动力学特性波动越显著,小间隙范围内关节间隙尺寸增大时,可调矢量喷管机构动力学特性的波动幅值先减小后增大,当三角拉杆与转向控制环之间的间隙为0.3 mm时,系统动力学最稳定. 展开更多
关键词 航空发动机 可调矢量喷管 动力学建模 关节间隙 动力学特性
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基于DWD-SVR模型的锂离子电池剩余使用寿命预测
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作者 王小明 何叶 +3 位作者 王路路 吴红斌 徐斌 赵文广 《太阳能学报》 北大核心 2025年第2期52-59,共8页
针对锂离子电池容量退化特性的非线性和多尺度特性,提出一种基于离散小波分解(DWD)和支持向量回归(SVR)模型的锂离子电池RUL预测方法。首先,利用DWD对容量时间序列进行多尺度解耦,以降低局部再生和波动现象对预测结果的影响;其次,利用K... 针对锂离子电池容量退化特性的非线性和多尺度特性,提出一种基于离散小波分解(DWD)和支持向量回归(SVR)模型的锂离子电池RUL预测方法。首先,利用DWD对容量时间序列进行多尺度解耦,以降低局部再生和波动现象对预测结果的影响;其次,利用K-均值聚类方法将各尺度信号中样本熵与排列熵相近的子序列进行聚类,根据聚类结果将复杂度与随机性相近的子序列进行重构,以减少建模次数,提高预测效率;最后,通过SVR预测模型精确捕捉不同尺度下容量信号的变化情况,实现电池RUL准确预测。实验结果表明,提出的基于DWD-SVR模型的锂离子电池RUL预测方法能在保证全局退化趋势预测准确性的同时对波动进行及时地响应,可提高预测性能。 展开更多
关键词 锂离子电池 支持向量回归 K-均值聚类 剩余使用寿命 离散小波分解
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面向市县级国土空间总体规划的传染病风险评估方法及其实践
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作者 王兰 张钰彤 +1 位作者 贾颖慧 刘晓 《城市规划》 北大核心 2025年第2期110-118,共9页
病媒传染病是一种控制和预防难度较高的传染病,由蚊鼠等媒介生物传播,与城乡空间关联紧密,但当前风险评估方法未能充分考虑空间要素。我国正在建构的国土空间规划体系可以通过调整空间要素来影响媒介生物的活动,从而减少病媒传染病风险... 病媒传染病是一种控制和预防难度较高的传染病,由蚊鼠等媒介生物传播,与城乡空间关联紧密,但当前风险评估方法未能充分考虑空间要素。我国正在建构的国土空间规划体系可以通过调整空间要素来影响媒介生物的活动,从而减少病媒传染病风险。在此背景下,提出一种基于空间计算、以共边率为核心指标、融入多元影响因子的病媒传染病风险评估方法。该方法需明确不同病媒的特点野外栖息地,基于其与建设用地的交互界面长度计算共边率;同时纳入景观多样性和人口密度等因子,测算、明确传染性疾病的高风险区。以云南省云龙县为例,采用提出的方法对该地区不同病媒传染病类型进行了风险评估,并相应提出优化建议。该方法可为国土空间规划中的建设边界划定、生态保护与修复等提供依据。 展开更多
关键词 健康城市 病媒传染病 健康影响评估 风险评估 国土空间规划
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