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Matching consumers and stage-stations on community group buying platforms:An approach with hierarchy algorithms
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作者 Liyuan Lin 《中国科学技术大学学报》 CSCD 北大核心 2024年第11期55-65,54,67,共13页
Motivated by the business model called“community group buying”(CGB),which has emerged in China and some countries in Southeast Asia,such as Singapore and Indonesia,we develop algorithms that could help CGB platforms... Motivated by the business model called“community group buying”(CGB),which has emerged in China and some countries in Southeast Asia,such as Singapore and Indonesia,we develop algorithms that could help CGB platforms match consumers with stage-stations(the picking up center under the CGB mode).By altering the fundamental design of the existing hierarchy algorithms,improvements are achieved.It is proven that our method has a faster running speed and greater space efficiency.Our algorithms avoid traversal and compress the time complexities of matching a consumer with a stage-station and updating the storage information to O(logM)and O(MlogG),where M is the number of stage-stations and G is that of the platform’s stock-keeping units.Simulation comparisons of our algorithms with the current methods of CGB platforms show that our approaches can effectively reduce delivery costs.An interesting observation of the simula-tions is worthy of note:Increasing G may incur higher costs since it makes inventories more dispersed and delivery prob-lems more complicated. 展开更多
关键词 spatial matching dynamic arrival platform business community group buying hierarchy algorithm
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Spectral matching algorithm based on nonsubsampled contourlet transform and scale-invariant feature transform 被引量:4
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作者 Dong Liang Pu Yan +2 位作者 Ming Zhu Yizheng Fan Kui Wang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第3期453-459,共7页
A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low freq... A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low frequency image and several high frequency images, and the scale-invariant feature transform is employed to extract feature points from the low frequency im- age. A proximity matrix is constructed for the feature points of two related images. By singular value decomposition of the proximity matrix, a matching matrix (or matching result) reflecting the match- ing degree among feature points is obtained. Experimental results indicate that the proposed algorithm can reduce time complexity and possess a higher accuracy. 展开更多
关键词 point pattern matching nonsubsampled contourlet transform scale-invariant feature transform spectral algorithm.
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Adaptive impedance matching using quantum genetic algorithm 被引量:4
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作者 谭阳红 陈赛华 +1 位作者 张根苗 熊智挺 《Journal of Central South University》 SCIE EI CAS 2013年第4期977-981,共5页
An adaptive technique adopting quantum genetic algorithm (QGA) for antenna impedance tuning is presented. Three examples are given with different types of antenna impedance. The frequency range of the dual standards... An adaptive technique adopting quantum genetic algorithm (QGA) for antenna impedance tuning is presented. Three examples are given with different types of antenna impedance. The frequency range of the dual standards is from 1.7 to 2.2 GHz. Simulation results show that the proposed tuning technique can achieve good accuracy of impedance matching and load power. The reflection coefficient and VSWR obtained are also very close to their ideal values. Comparison of the proposed QGA tuning method with conventional genetic algorithm based tuning method is Moreover, the proposed method can be useful for software wireless bands. also given, which shows that the QGA tuning algorithm is much faster. defined radio systems using a single antenna for multiple mobile and 展开更多
关键词 impedance matching conventional genetic algorithm quantum genetic algorithm
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Spectral matching based remote sensing identification of two main crop rotation patterns in a large irrigation district
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作者 DUAN Yuanyuan CHEN Xiuhua +3 位作者 LIU Jun YE Mao LU Wenjing LIU Hongjie 《中国水利水电科学研究院学报(中英文)》 北大核心 2024年第6期640-650,共11页
The rapid identification of planting patterns for major crops in a large irrigated district has vital importance for irrigation management,water fee collection,and crop yield estimation.In this study,the OTSU algorith... The rapid identification of planting patterns for major crops in a large irrigated district has vital importance for irrigation management,water fee collection,and crop yield estimation.In this study,the OTSU algorithm and Mean-Shift algorithm were employed to automatically determine threshold values for mapping two main rotated crop patterns at the pixel scale.A time series analysis was conducted to extract the spatial distribution of rice-wheat and wheat-maize rotations in the Chuanhang irrigation district from 2016 to 2020.The results demonstrate that both threshold segmentation algorithms are reliable in extracting the spatial distribution of the crops,with an overall accuracy exceeding 80%.Additionally,both Kappa coefficients surpass 0.7,indicating better performance by OTSU method.Over the period from 2016 to 2020,the area occupied by rice-wheat rotation cropping ranged from 12500 to 14400 hm 2;whereas wheat-maize rotation cropping exhibited smaller and more variable areas ranging from 19730 to 34070 hm 2.These findings highlight how remote sensing-based approaches can provide reliable support for rapidly and accurately identifying the spatial distribution of main crop rotation patterns within a large irrigation district. 展开更多
关键词 Chuanhang irrigation district rotate crop pattern spectral matching OTSU algorithm Mean-Shift algorithm
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Fast M-fold matching pursuit algorithm for image approximation 被引量:1
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作者 Gan Tao He Yanmin Zhu Weile 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第4期883-888,共6页
A simple and effective greedy algorithm for image approximation is proposed. Based on the matching pursuit approach, it is characterized by a reduced computational complexity benefiting from two major modifications. F... A simple and effective greedy algorithm for image approximation is proposed. Based on the matching pursuit approach, it is characterized by a reduced computational complexity benefiting from two major modifications. First, it iteratively finds an approximation by selecting M atoms instead of one at a time. Second, the inner product computations are confined within only a fraction of dictionary atoms at each iteration. The modifications are implemented very efficiently due to the spatial incoherence of the dictionary. Experimental results show that compared with full search matching pursuit, the proposed algorithm achieves a speed-up gain of 14.4-36.7 times while maintaining the approximation quality. 展开更多
关键词 greedy algorithm image approximation matching pursuit
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Modified Multi-Resolution Telescopic Search Algorithm for Block-Matching Motion Estimation
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作者 Zhang, W. Zhou, R. Kondo, T. 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2001年第3期90-96,共7页
This paper presents a modified multi-resolution telescopic search algorithm (MRTlcSA) for the block-matching motion estimation. A novel inverse telescopic search is substituted for the conventional telescopic search, ... This paper presents a modified multi-resolution telescopic search algorithm (MRTlcSA) for the block-matching motion estimation. A novel inverse telescopic search is substituted for the conventional telescopic search, that reduces the on-chip memory size and memory bandwidth for VLSI implementation. In addition, strategies of motion track and adaptive search window are applied to reduce the computational complexity of motion estimation. Simulation results show that, compared with the MRTleSA, the proposed algorithm reduces the computational load to only 30% while preserving almost the same image quality. Comparisons on hardware cost and power consumption of the VLSI implementations using the two algorithms are also presented in the paper. 展开更多
关键词 algorithmS BANDWIDTH Computational complexity Computer simulation Image quality Microprocessor chips Optical resolving power Optical telescopes Pattern matching VLSI circuits
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An efficient embedding tree matching algorithm based on metaphoric dependency syntax tree
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作者 冯少荣 肖文俊 《Journal of Central South University》 SCIE EI CAS 2009年第2期275-279,共5页
To find out all dependency relationships in which metaphors probably exist between syntax constituents in a given sentence,a dependency tree matching algorithm oriented to Chinese metaphor processing is proposed based... To find out all dependency relationships in which metaphors probably exist between syntax constituents in a given sentence,a dependency tree matching algorithm oriented to Chinese metaphor processing is proposed based on a research of unordered tree inclusion matching.In this algorithm,the pattern library is composed of formalization dependency syntax trees that are derived from large-scale metaphor sentences.These kinds of metaphor sentences are saved in the pattern library in advance.The main process of this algorithm is up-down searching and bottom-up backtracking revising.The algorithm discovers potential metaphoric structures in Chinese sentences from metaphoric dependency pattern library.Finally,the feasibility and efficiency of the new matching algorithm are further testified by the results of a series of experiments on dependency pattern library.Hence,accurate dependency relationships can be achieved through this algorithm. 展开更多
关键词 pattern recognition tree matching algorithm dependency tree rule matching metaphor information processing
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Stiffness-damping matching method of an ECAS system based on LQG control 被引量:9
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作者 陈一锴 何杰 +2 位作者 M.KING 陈无畏 张卫华 《Journal of Central South University》 SCIE EI CAS 2014年第1期439-446,共8页
A novel method of matching stiffness and continuous variable damping of an ECAS(electronically controlled air suspension) based on LQG(linear quadratic Gaussian) control was proposed to simultaneously improve the road... A novel method of matching stiffness and continuous variable damping of an ECAS(electronically controlled air suspension) based on LQG(linear quadratic Gaussian) control was proposed to simultaneously improve the road-friendliness and ride comfort of a two-axle school bus.Taking account of the suspension nonlinearities and target-height-dependent variation in suspension characteristics,a stiffness model of the ECAS mounted on the drive axle of the bus was developed based on thermodynamics and the key parameters were obtained through field tests.By determining the proper range of the target height for the ECAS of the fully-loaded bus based on the design requirements of vehicle body bounce frequency,the control algorithm of the target suspension height(i.e.,stiffness) was derived according to driving speed and road roughness.Taking account of the nonlinearities of a continuous variable semi-active damper,the damping force was obtained through the subtraction of the air spring force from the optimum integrated suspension force,which was calculated based on LQG control.Finally,a GA(genetic algorithm)-based matching method between stepped variable damping and stiffness was employed as a benchmark to evaluate the effectiveness of the LQG-based matching method.Simulation results indicate that compared with the GA-based matching method,both dynamic tire force and vehicle body vertical acceleration responses are markedly reduced around the vehicle body bounce frequency employing the LQG-based matching method,with peak values of the dynamic tire force PSD(power spectral density) decreased by 73.6%,60.8% and 71.9% in the three cases,and corresponding reduction are 71.3%,59.4% and 68.2% for the vehicle body vertical acceleration.A strong robustness to variation of driving speed and road roughness is also observed for the LQG-based matching method. 展开更多
关键词 matching method electronically controlled air suspension linear quadratic Gaussian genetic algorithm
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Performance comparison of several optimization algorithms in matched field inversion
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作者 ZOU Shixin, YANG Kun-de, MA Yuanliang (Northwestern Polytechnic University, Xi’an 710072, China) 《声学技术》 CSCD 2004年第S1期23-28,共6页
Optimization efficiencies and mechanisms of simulated annealing, genetic algorithm, differential evolution and downhill simplex differential evolution are compared and analyzed. Simulated annealing and genetic algorit... Optimization efficiencies and mechanisms of simulated annealing, genetic algorithm, differential evolution and downhill simplex differential evolution are compared and analyzed. Simulated annealing and genetic algorithm use a directed random process to search the parameter space for an optimal solution. They include the ability to avoid local minima, but as no gradient information is used, searches may be relatively inefficient. Differential evolution uses information from a distance and azimuth between individuals of a population to search the parameter space, the initial search is effective, but the search speed decreases quickly because differential information between the individuals of population vanishes. Local downhill simplex and global differential evolution methods are developed separately, and combined to produce a hybrid downhill simplex differential evolution algorithm. The hybrid algorithm is sensitive to gradients of the object function and search of the parameter space is effective. These algorithms are applied to the matched field inversion with synthetic data. Optimal values of the parameters, the final values of object function and inversion time is presented and compared. 展开更多
关键词 SIMULATED ANNEALING GENETIC algorithm DIFFERENTIAL evolution matched field INVERSION
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匹配优化算法在无人机群目标拦截的应用研究
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作者 刘旭东 贺金鑫 《机械设计与制造》 北大核心 2025年第4期336-343,共8页
针对无人机群拦截运动目标的问题,提出了一种最优匹配优化算法。该优化算法在经典的纯追踪制导律的基础上,结合Kunhn-Munkres(KM)算法和匈牙利算法。在拦截过程中采用卡尔曼滤波估计目标位置,减小目标位置观测的测量误差,引入虚拟领航... 针对无人机群拦截运动目标的问题,提出了一种最优匹配优化算法。该优化算法在经典的纯追踪制导律的基础上,结合Kunhn-Munkres(KM)算法和匈牙利算法。在拦截过程中采用卡尔曼滤波估计目标位置,减小目标位置观测的测量误差,引入虚拟领航无人机的概念来维持编队,并根据多旋翼无人机的飞行特点设计编队策略。通过仿真对比实验表明,采用所提出的最优制导策略,无人机群能够在保持预定编队的前提下拦截运动目标,缩短了所有无人机的平均每采样周期总飞行距离,加快了拦截过程,提高了编队完成度。 展开更多
关键词 无人机 目标拦截 追踪算法 匹配优化算法
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IntervalTree+结构的函数式建模、机械化验证及其应用
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作者 左正康 张晗庆 +1 位作者 王昌晶 游珍 《电子学报》 北大核心 2025年第2期474-482,共9页
区间树(IntervalTree)是一种对动态集合进行维护的搜索树,可用于高效地存储和搜索区间集合.当前实现了IntervalTree在Isabelle/HOL的建模与验证,其区间信息是在二叉搜索树上进行扩充的,IntervalTree结构支持的基本操作时间复杂度较高.为... 区间树(IntervalTree)是一种对动态集合进行维护的搜索树,可用于高效地存储和搜索区间集合.当前实现了IntervalTree在Isabelle/HOL的建模与验证,其区间信息是在二叉搜索树上进行扩充的,IntervalTree结构支持的基本操作时间复杂度较高.为此,本文对IntervalTree结构的节点附加额外颜色信息且保证树的平衡,提出了IntervalTree+结构,相较于IntervalTree结构的实现,插入和删除等操作最坏时间复杂度O(n)改进到O(log n).然后使用Isabelle定理证明器对IntervalTree+结构及其操作函数进行了函数式建模,对其不变量进行了机械化验证,保证了IntervalTree+结构操作函数的正确性和可靠性.进一步,首次提出一种区域匹配算法的通用验证规约,旨在解决一系列的区域匹配算法正确性验证问题.提出的IntervalTree+结构通过严格的机械化验证,且操作最坏时间复杂度相较于IntervalTree结构由O(n)优化到O(log n),可应用于区域匹配、视觉日志和评估模型等相关算法优化. 展开更多
关键词 区间树 IntervalTree+ 函数式建模 机械化验证 区域匹配算法 Isabelle定理证明器
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基于广义Dice系数改进SAMP算法的轴承故障诊断
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作者 于春霞 王峰伟 +1 位作者 张建国 李明 《机械设计与制造》 北大核心 2025年第2期183-186,191,共5页
轴承是机械传动装置中不可或缺的零件之一,其信号存在干扰和冗余成分的问题。为了进一步提高振动阶段的故障诊断效果,设计了一种基于广义Dice系数改进自适应匹配追踪(SAMP)算法的轴承故障诊断方法。SAMP算法采用分段迭代方式实现支撑集... 轴承是机械传动装置中不可或缺的零件之一,其信号存在干扰和冗余成分的问题。为了进一步提高振动阶段的故障诊断效果,设计了一种基于广义Dice系数改进自适应匹配追踪(SAMP)算法的轴承故障诊断方法。SAMP算法采用分段迭代方式实现支撑集的自主调整,广义Dice系数可以显著增强信号重建品质。通过实验进行了验证,研究结果表明:原始信号中混杂多种干扰元素,导致啮合频率和边频带被掩盖,无法准确识别故障特征。经过SAMP重构形成的故障频谱清晰显示了啮合频率和频,边频带被有效覆盖,可以有效反映故障信号。外圈和内圈故障信号呈现出规律性周期波动特点,以SAMP算法处理后的故障信号依然保持周期性特点,频率附近产生了相应的边频带,由此实现对故障信号特征的准确识别。 展开更多
关键词 轴承 故障诊断 自适应匹配追踪算法 实验验证
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改进R-LoFTR++的智能巡检特征匹配算法
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作者 舒军 王江舸 +2 位作者 杨莉 舒心怡 《重庆理工大学学报(自然科学)》 北大核心 2025年第2期86-96,共11页
在应用增强现实技术的变电站巡检工作中,背景纹理复杂难以提取特征点,大视角变化情况下匹配正确率低,针对以上问题提出改进特征匹配算法R-LoFTR++。引入高斯滤波进行预处理,有效减少图像噪声并平滑部分纹理,降低了匹配的复杂度。设计了... 在应用增强现实技术的变电站巡检工作中,背景纹理复杂难以提取特征点,大视角变化情况下匹配正确率低,针对以上问题提出改进特征匹配算法R-LoFTR++。引入高斯滤波进行预处理,有效减少图像噪声并平滑部分纹理,降低了匹配的复杂度。设计了特征方向描述子模块,增强了网络对图像关键点的方向敏感度,提高了大视角差图像间的匹配率。集成MAGSAC++算法,优化匹配过程、剔除误匹配点,提升了匹配的正确率。实验结果表明,R-LoFTR++算法在变电站真实数据集上的匹配效果都优于参与对比的其他特征匹配算法。在MegaDepth相同特定场景子集的实验中,R-LoFTR++在户外姿态评估实验中AUC指标相比于原网络提升了约0.92%~1.63%。 展开更多
关键词 特征匹配 LoFTR算法 增强现实技术 电气检测
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基于改进双目ORB-SLAM3的特征匹配算法
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作者 伞红军 冯金祥 +2 位作者 陈久朋 彭真 赵龙云 《农业机械学报》 北大核心 2025年第5期625-634,共10页
针对传统ORB算法在双目特征匹配阶段误匹配率高而导致无法满足高精度定位要求的问题,提出了一种基于改进双目ORB-SLAM3的特征匹配算法。在特征点匹配阶段引入最近邻匹配算法(FLANN),通过设定比率阈值筛选出更为精确的匹配对,在双目ORB-S... 针对传统ORB算法在双目特征匹配阶段误匹配率高而导致无法满足高精度定位要求的问题,提出了一种基于改进双目ORB-SLAM3的特征匹配算法。在特征点匹配阶段引入最近邻匹配算法(FLANN),通过设定比率阈值筛选出更为精确的匹配对,在双目ORB-SLAM3立体匹配中引入自适应加权SAD-Census算法,通过考虑像素之间的几何距离,重新计算SAD值并与Census算法相融合来提高特征匹配稳定性和精度,同时加入自适应的SAD窗口滑动范围进一步扩大搜索距离,进而筛选出正确的匹配来提高系统精度。在EuRoC数据集和真实室内场景中进行实验,结果表明与改进前ORB-SLAM3算法相比,在数据集下改进算法定位精度提高23.32%,真实环境中提高近50%,从而验证了改进算法可行性和有效性。 展开更多
关键词 改进双目ORB-SLAM3 特征匹配 最近邻匹配算法 自适应加权SAD-Census算法
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基于K-PSO和StOMP的往复压缩机激振信号盲源分离
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作者 王金东 马智超 +2 位作者 赵海洋 李彦阳 张宇 《机床与液压》 北大核心 2025年第3期228-234,共7页
在当前信号的盲源分离中,传统“两步法”易陷入局部最优解,并且其准确率会随采集信号数的增加或稀疏性的降低而大幅下降。针对上述问题,提出一种结合K均值-粒子群(K-PSO)和分段正交匹配追踪(StOMP)的稀疏分量分析方法。对采集信号执行K... 在当前信号的盲源分离中,传统“两步法”易陷入局部最优解,并且其准确率会随采集信号数的增加或稀疏性的降低而大幅下降。针对上述问题,提出一种结合K均值-粒子群(K-PSO)和分段正交匹配追踪(StOMP)的稀疏分量分析方法。对采集信号执行K均值聚类算法,将产生的结果反馈至PSO聚类中估计混合矩阵。在获得混合矩阵后,将其源信号矩阵转化成列数为1的向量,再通过分段正交匹配追踪算法重构源信号。将实测的往复压缩机正常信号和3种单一故障信号混合成2种复合故障信号,并对复合故障信号进行试验验证。结果表明:在计算时间方面,相较模糊C均值聚类(0.335 s)和K均值聚类(0.299 s),尽管K-PSO聚类方法牺牲了一部分效率(1.561 s),但在总体角度偏差和归一化均方根误差方面表现更优,具有更好的估计精度;相较最短路径法(0.123 s),StOMP算法同样牺牲效率(2.031 s),却获得更佳的相关系数和均方根误差,表现更好的分离重构能力。这说明,该方法在盲源分离中具有可行性和实际应用价值。 展开更多
关键词 往复压缩机 欠定盲源分离 K均值聚类 粒子群算法 分段正交匹配追踪
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基于改进的多表达式编程算法的木材染色配方预测
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作者 管雪梅 张威 杨渠三 《科学技术与工程》 北大核心 2025年第7期2865-2873,共9页
由于珍贵木材日益稀缺以及过度开发导致的严重环境问题,有必要通过对普通木材进行染色来模仿珍贵木材的外观。在本研究中采用计算机辅助染色技术,实现对普通木材的高精度染色,从而创造出外观类似珍贵木材的替代品,减少人们对它们的依赖... 由于珍贵木材日益稀缺以及过度开发导致的严重环境问题,有必要通过对普通木材进行染色来模仿珍贵木材的外观。在本研究中采用计算机辅助染色技术,实现对普通木材的高精度染色,从而创造出外观类似珍贵木材的替代品,减少人们对它们的依赖。首先,基于基因表达编程(gene expression programming, GEP)的概念,提出了一种多表达式编程(multi-expression programming, MEP)算法来预测染料配比,考虑到多种染料之间的复杂相互作用,采用多基因表达,MEP算法能够处理这些复杂的多种染料之间的相互作用,从而得到更直观的函数表达式。为了提高MEP的函数挖掘准确性,自适应调整突变和重组算子的概率,并使用并行编程来增强函数挖掘效率。与基因表达编程的结果相比,MEP深入挖掘了函数关系,并在颜色预测中获得了0.113的相对偏差结果。 展开更多
关键词 木材染色 基因表达编程 多表达式编程 计算机颜色匹配 遗传算法 光谱反射率
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改进SURF-FLANN的综采工作面视频拼接特征提取与匹配算法
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作者 毛清华 王孟寒 +1 位作者 胡鑫 翟娇 《煤炭学报》 北大核心 2025年第6期3224-3234,共11页
针对目前视频拼接技术中的主要问题,即SURF(Speed Up Robust Features)特征提取算法与FLANN(Fast Library or Approximate Nearest Neighbors)特征匹配算法在综采工作面恶劣环境中存在特征点误提取和特征点匹配正确率低的问题,提出一种... 针对目前视频拼接技术中的主要问题,即SURF(Speed Up Robust Features)特征提取算法与FLANN(Fast Library or Approximate Nearest Neighbors)特征匹配算法在综采工作面恶劣环境中存在特征点误提取和特征点匹配正确率低的问题,提出一种改进SURF-FLANN的综采工作面视频拼接特征提取与匹配算法。为了提高特征点提取正确率,该方法通过将传统的高斯滤波换为更为先进的双边滤波提取图像中的SURF关键特征点,同时在特征向量中引入特征点4-领域内的特征点描述符信息,从而改进了描述符算子,进一步提高了特征点的描述能力。为了提升特征点匹配速度,提出了R-FLANN(Random Sample Consensus-Fast Library or Approximate Nearest Neighbors)特征匹配算法,该算法利用RANSAC算法获取特征点的匹配先验信息剔除无匹配、误匹配的特征点,从而提高特征点匹配速度。为了验证改进效果,通过消融试验验证了改进SURF-FLANN的特征提取与匹配算法有效提升综采工作面视频图像特征提取和匹配正确率。通过本文方法与SIFT+FLANN,Hairrs与SURF+FLANN的特征提取与匹配算法进行特征点提取与匹配的对比试验,结果表明本文方法特征提取与匹配平均正确率和平均匹配速度最高,分别达到了81.47%和51.47帧/s。通过运用本文方法与SIFT+FLANN,Hairrs与SURF+FLANN的特征提取与匹配算法进行视频图像拼接对比试验,结果表明本文提出的方法在拼接效果清晰度、对比度、熵、拼接速率指标都最好,得到了最佳效果。 展开更多
关键词 综采工作面 SURF算法 FLANN算法 视频拼接 特征提取 特征匹配
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面向隐私信息泄露的光纤网络加密安全防护研究
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作者 袁智勇 钟章生 熊飞龙 《激光杂志》 北大核心 2025年第5期196-202,共7页
受各种类型的攻击,包括窃听、篡改、拒绝服务等影响,使得光纤网络抗攻击能力较弱,而海量数据量和复杂性不断上升,无法确保隐私数据的密钥,从而造成信息泄露、篡改等严重后果。为了保障信息的机密性,提出面向隐私信息泄露的光纤网络加密... 受各种类型的攻击,包括窃听、篡改、拒绝服务等影响,使得光纤网络抗攻击能力较弱,而海量数据量和复杂性不断上升,无法确保隐私数据的密钥,从而造成信息泄露、篡改等严重后果。为了保障信息的机密性,提出面向隐私信息泄露的光纤网络加密安全防护研究。通过收发节点采集大量信道状态信息,对信道状态展开评估,并将量化参数设定为比特序列,提取光纤网络海量隐私信息中的密钥。根据密钥提取结果,组建隐私信息分段和分组密钥组,利用密钥匹配算法为各个分段以及分组选取可信密钥展开加密处理,并将加密处理后的隐私信息保存至云端,以此实现光纤网络海量隐私信息加密存储。实验结果表明,所提方法的加密时间保持在2.5 ms内,存储开销低且吞吐量高,能够抵御各种攻击,可以有效实现隐私信息的加密存储。 展开更多
关键词 隐私信息 光纤网络 信息加密 多可信密钥 密钥匹配算法 加密存储
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基于显著性特征的多视角动作图像识别研究
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作者 惠向晖 孙艳红 沈小乐 《现代电子技术》 北大核心 2025年第13期62-65,共4页
文中基于显著性特征的多视角动作图像识别方法,自动学习并提取出运动员动作的关键特征,有助于教练为运动员制定更科学、更个性化的训练计划。将人体骨架序列对齐到统一的时空坐标系中,计算距离图和角度图以捕捉骨架的空间特征,生成人体... 文中基于显著性特征的多视角动作图像识别方法,自动学习并提取出运动员动作的关键特征,有助于教练为运动员制定更科学、更个性化的训练计划。将人体骨架序列对齐到统一的时空坐标系中,计算距离图和角度图以捕捉骨架的空间特征,生成人体运动特征图;构建CNN+CA模型,将处理后的多视角动作视频帧生成感兴趣区域(ROI)拼接图,再将其输入到CNN中,提取多视角融合特征,并在CA模块中突出那些对于动作图像识别最为关键的区域;通过序列匹配算法将多视角动作识别问题转化为预测标签序列的匹配问题,为待识别动作图像分配动作类别标签,实现准确的多视角动作图像识别。实验结果表明:该方法不仅能够有效处理来自不同视角的动作图像,还能够准确识别出篮球运动员的多种动作。 展开更多
关键词 显著性特征 多视角动作图像 运动特征图 ROI拼接图 CNN CA模块 LSTM 序列匹配算法
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多视角影像倾斜度对ASIFT算法特征匹配的有效性
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作者 解琨 周杰 《测绘通报》 北大核心 2025年第5期89-93,共5页
ASIFT算法是一种影像特征提取算法,具有完全仿射不变性。它通过模拟摄像机光轴变化处理影像中的仿射失真,在视角变化较大的影像匹配中表现出较强的稳健性。为了研究倾斜航空摄影中不同倾斜度影像间对ASIFT算法特征匹配的影响,本文结合AS... ASIFT算法是一种影像特征提取算法,具有完全仿射不变性。它通过模拟摄像机光轴变化处理影像中的仿射失真,在视角变化较大的影像匹配中表现出较强的稳健性。为了研究倾斜航空摄影中不同倾斜度影像间对ASIFT算法特征匹配的影响,本文结合ASIFT算法中定义的两个仿射变换参数(绝对倾斜(absolute tilt)和过渡倾斜(transition tilt)),提出一种计算倾斜摄影中单张影像绝对倾斜度和多视影像间相对倾斜度的方法。通过在不同倾斜度条件下进行ASIFT算法匹配试验,分析总结不同倾斜度对特征匹配效果的影响,验证多视角影像倾斜度计算方法的有效性。 展开更多
关键词 倾斜摄影测量 ASIFT算法 相对倾斜度 绝对倾斜度 影像匹配
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