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基于K-means聚类算法的印刷返单追样色彩补偿计算研究
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作者 付文亭 邓体俊 《包装工程》 北大核心 2026年第3期161-167,共7页
目的引入K-means聚类算法量化评估印张与客户样网点面积率差异,运用非线性拟合算法确定C/M/Y/K四色通道优化调整参数,实现印刷返单色彩精准补偿还原。方法调用扫描仪与机台印刷ICC配置文件,将扫描的RGB文件转换为与印前分色标准一致的C... 目的引入K-means聚类算法量化评估印张与客户样网点面积率差异,运用非线性拟合算法确定C/M/Y/K四色通道优化调整参数,实现印刷返单色彩精准补偿还原。方法调用扫描仪与机台印刷ICC配置文件,将扫描的RGB文件转换为与印前分色标准一致的CMYK文件;引入K-means聚类算法模型,对印张与客户样的C/M/Y/K分色文件进行高精度比对;用非线性拟合算法确定四色通道优化调整节点及参数;在Photoshop中对C/M/Y/K 4个颜色通道进行“曲线”调整。结果动态补偿机制有效校正印张偏蓝、偏深缺陷,同步优化四原色、二次叠印色和三色叠印灰平衡色,补偿修正后印张色差ΔE00稳定控制在2.5以内。结论该数据驱动补偿方法效率远超传统人工调整,具有完全可复制的标准化特性,为印刷生产数字化升级提供关键技术支撑。 展开更多
关键词 K-meanS聚类算法 印刷返单追样 色彩补偿 色彩管理
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基于改进粒子群K-means的道路状态识别聚类算法
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作者 徐韬 任其亮 +1 位作者 李金宴 林伟 《重庆交通大学学报(自然科学版)》 北大核心 2026年第2期47-56,共10页
针对传统K均值聚类算法(K-means)受到初始聚类中心影响导致聚类精度波动问题,提出了基于改进粒子群(PSO)的组合聚类算法。在道路运行速度一维原始数据上,增加相对速度比αt、速度波动率βt这2个特征,建立新的三维数据集;在分布式延迟粒... 针对传统K均值聚类算法(K-means)受到初始聚类中心影响导致聚类精度波动问题,提出了基于改进粒子群(PSO)的组合聚类算法。在道路运行速度一维原始数据上,增加相对速度比αt、速度波动率βt这2个特征,建立新的三维数据集;在分布式延迟粒子群算法(RODDPSO)基础上,提出改进RODDPSO算法(IRODDPSO算法),引入了粒子最大速度非线性约束函数,随着迭代次数增加,粒子最大更新速度逐步非线性衰减,根据每轮迭代的进化特征值ξ确定不同的粒子更新策略;利用IRODDPSO算法产生K-means初始化聚类中心,利用PSO算法全局搜索能力,寻找出最优初始化聚类中心。研究结果表明:IRODDPSO算法可成功应用在城市道路运行状态聚类分析中,组合算法的准确率、召回率分别为0.935、0.957,较RODDPSO算法分别提升了4.8%、3.6%,较基准PSO算法提升13.2%、11.1%,运行时耗分别下降了6.7%、16.3%;所提出的最大速度非线性约束策略提升了算法收敛能力,并且在快速路、主干路等不同等级道路中表现出良好的稳健性。 展开更多
关键词 交通工程 粒子群算法 K均值聚类算法 非线性速度约束 分布式延迟 道路状态识别
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基于K-means++算法划分车辆状态的直接横摆力矩控制
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作者 潘公宇 李桐 《重庆理工大学学报(自然科学)》 北大核心 2026年第1期1-9,共9页
针对分布式驱动电动汽车在转向变道过程中低附着、高速等极限工况下的失稳问题,提出一种基于K-means++算法划分车辆状态区域的分层协同控制策略。基于Carsim车辆模型构建离线训练数据集,提取横摆角速度、质心侧偏角等9维车辆稳定性特征... 针对分布式驱动电动汽车在转向变道过程中低附着、高速等极限工况下的失稳问题,提出一种基于K-means++算法划分车辆状态区域的分层协同控制策略。基于Carsim车辆模型构建离线训练数据集,提取横摆角速度、质心侧偏角等9维车辆稳定性特征参数,利用K-means++算法将车辆当前状态划分为稳定域、协调域与控制域,并设计动态权重协调模块。在上层控制器中,采用离散滑模控制算法结合粒子群优化趋近律系数,生成目标附加横摆力矩,以跟踪理想横摆动力学特性;同时通过对比积分滑模算法,验证离散滑模控制器在抑制峰值误差与跟踪精度上的优势。在下层控制器中,以稳定性裕度建立目标函数,构建二次规划模型,优化四轮扭矩分配,确保纵向力与侧向力矢量位于摩擦椭圆内。Carsim/Simulink联合仿真验证表明:该策略在中速、低附着(60 km/h,μ=0.3)工况下,相较于由积分滑模算法所搭建的控制策略而言,横摆角速度、质心侧偏角的峰值误差分别降低了77.2%、11.64%,而在跟踪精度方面分别优化了63.13%、15.19%;在高速、高附着(95 km/h,μ=0.85)工况下,其横摆角速度、质心侧偏角的峰值误差分别降低了27.48%、40.1%,而在跟踪精度方面分别优化了20.67%、45.94%。研究结果表明:基于K-means++算法的状态区域划分与离散滑模分层动态控制机制显著提升了车辆横向稳定性与控制鲁棒性,为分布式驱动电动汽车的极限工况稳定性优化提供了有效解决方案。 展开更多
关键词 分布式驱动汽车 K-means++算法 车辆状态区域 离散滑模算法
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基于VMD-SSA-K-means-iForest的重力坝监测数据异常模式混合识别算法研究
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作者 李铁 李涵曼 +2 位作者 王福生 徐量 郭瑞 《水电能源科学》 北大核心 2026年第1期182-187,共6页
重力坝监测数据的异常识别对大坝安全评估具有重要意义,针对现有方法在模式辨识和特征提取方面的局限性,提出一种基于VMD-SSA-KMeans-iForest的重力坝监测数据异常值混合识别方法,该方法通过引入变分模态分解(VMD)优化SSA分解过程,显著... 重力坝监测数据的异常识别对大坝安全评估具有重要意义,针对现有方法在模式辨识和特征提取方面的局限性,提出一种基于VMD-SSA-KMeans-iForest的重力坝监测数据异常值混合识别方法,该方法通过引入变分模态分解(VMD)优化SSA分解过程,显著提升了特征提取的精度和鲁棒性。在此基础上,构建了基于K-means聚类与孤立森林(iForest)协同的异常识别框架,并将该方法应用于W重力坝异常数据识别中。结果表明,所提方法的异常识别准确率提升了2.5%,同时有效区分了结构损伤与仪器故障引起的异常模式,为重力坝安全评估提供了更可靠的技术支持。 展开更多
关键词 重力坝 奇异谱分析 变分模态分解 K-meanS聚类 孤立森林 异常模式识别
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基于K-means聚类和改进蚁群算法的跨境电商仓储选址优化研究
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作者 邱国斌 易玉涛 《物流研究》 2026年第1期84-92,共9页
为解决传统选址方法无法动态适配跨境场景的问题,本文针对跨境电商仓储选址的复杂性与灵活性,结合跨境电商特有的国际物流成本、关税政策、区域市场需求、汇率波动等核心要素,构建基于K-means聚类和改进蚁群算法的跨境电商仓储选址模型... 为解决传统选址方法无法动态适配跨境场景的问题,本文针对跨境电商仓储选址的复杂性与灵活性,结合跨境电商特有的国际物流成本、关税政策、区域市场需求、汇率波动等核心要素,构建基于K-means聚类和改进蚁群算法的跨境电商仓储选址模型。本研究通过在多约束条件下的MATLAB软件仿真模拟,将现有选址与优化后选址进行比较。研究表明,该模型能够有效优化跨境电商仓储选址方案,为企业在全球供应链布局中提供科学决策支持。 展开更多
关键词 跨境电商 仓储选址 改进蚁群算法 MATLAB仿真 K-meanS聚类
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基于K-means聚类的手术绩效分级优化研究
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作者 余嘉俐 沈思远 +2 位作者 吴露瑛 王汉松 陈英耀 《中国医院管理》 北大核心 2026年第2期11-17,共7页
目的 利用K-means聚类算法优化手术绩效分级体系,提升分级的精细化程度和科学性。方法 通过结合轮廓系数、簇内平方和及医院管理需求确定K,并通过卡林斯基-哈拉巴斯指数和戴维斯-博尔丁指数进行验证。在此基础上,根据各级手术确定的K和... 目的 利用K-means聚类算法优化手术绩效分级体系,提升分级的精细化程度和科学性。方法 通过结合轮廓系数、簇内平方和及医院管理需求确定K,并通过卡林斯基-哈拉巴斯指数和戴维斯-博尔丁指数进行验证。在此基础上,根据各级手术确定的K和各项手术的SDI对手术数据进行聚类分析,明确各级手术分布特点,对于传统手术分级进行优化。结果 通过K-means聚类算法能够将原手术分类进一步细分为四级九档,实现手术的科学分类,为手术绩效管理和评价提供更精准的依据。结论 基于K-means聚类的手术分级优化方法,可区分四级分类下同级别手术间资源消耗差异,为医院手术绩效分级精细化管理与绩效评价提供可行路径,具备临床推广价值,推动医院绩效管理向精细化方向发展。 展开更多
关键词 K-meanS聚类 手术绩效分级 轮廓系数
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结合深度学习和K-Means的行道树提取及单木分割研究
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作者 史志飞 高飞 +3 位作者 袁斌 吴言安 张树峰 谢荣晖 《合肥工业大学学报(自然科学版)》 北大核心 2026年第2期260-267,共8页
针对目前城市道路场景中行道树提取方法需要设置的参数较多以及树冠点云相互重叠难以精确分割的问题,文章采用一种行道树提取与单株木分割算法。首先通过布料滤波算法从原始点云中移除地面点,并利用半径滤波滤除离群点,去除地面点和噪... 针对目前城市道路场景中行道树提取方法需要设置的参数较多以及树冠点云相互重叠难以精确分割的问题,文章采用一种行道树提取与单株木分割算法。首先通过布料滤波算法从原始点云中移除地面点,并利用半径滤波滤除离群点,去除地面点和噪声点对行道树提取的影响;然后通过增加PointNet++网络的点集抽象模块(set abstraction,SA)提高模型特征提取能力,使模型更适用于行道树点云的提取,并利用改进后的网络从原始点云中提取行道树点云;最后结合密度聚类算法(density-based spatial clustering of applications with noise,DBSCAN)与K-Means算法对相互重叠的行道树点云进行分割,得到单株木信息。为验证该方法的有效性,以北京永昌路道路数据集进行训练测试。结果表明:改进后模型的行道树点云平均提取精度和交并比(intersection over union,IoU)分别提高了9.2%和15.1%,达到了94.5%、0.916;单木分割平均精度达到了91.3%。 展开更多
关键词 车载激光点云 行道树提取 单木分割 PointNet++ K-meanS
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Rigorous verification of quantum contextuality from anomalous weak value
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作者 Wei-Qian Zhao Si-Nan Pang +3 位作者 Zi-Fu Su Tian-Ming Zhao Jin-Dong Wang Ya-Fei Yu 《Chinese Physics B》 2026年第2期306-313,共8页
Weak measurement offers a powerful framework for probing nonclassical features of quantum mechanics,with anomalous weak values serving as operational signatures of contextuality.While the anomalous weak value verifica... Weak measurement offers a powerful framework for probing nonclassical features of quantum mechanics,with anomalous weak values serving as operational signatures of contextuality.While the anomalous weak value verification of quantum contextuality has been predominantly investigated in the single-photon regime and analyzed under approximation condition of infinitesimally small perturbation strength.This study releases the approximation condition and takes into account the impact of perturbation strength on the rigor of the verification.And the investigation on the verification of contextuality is extended to the multi-photon scenarios for observing the influence of the correlation between photons on the verification.Without the limitation of infinitesimally small probability of disturbance,anomalous weak values are identified as necessary for contextuality to emerge,thereby refining the criterion proposed by Pusey[Phys.Rev.Lett.113200401(2014)].In the multi-photon scenarios,the emergence of contextuality also depends strongly on both the photon number and the photon-number distribution state.In particular,contextuality is found to be maximized when the single-photon component dominates and the second-order correlation is lower.These results highlight the critical role of photon statistics in experimental tests of contextuality via anomalous weak values. 展开更多
关键词 quantum measurement CONTEXTUALITY weak measurement weak values
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融合离群点检测与K-means的用电侧异常行为自动识别
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作者 陈普 刘仲 刘元强 《自动化应用》 2026年第2期170-172,共3页
针对用电侧异常行为自动识别中存在的错识和漏识问题,提出融合离群点检测与K-means的用电侧异常行为自动识别方法。通过对用电侧行为数据进行填补及标准化处理,实现对原始数据的预处理;通过对用电侧行为进行离群点检测,深入挖掘数据中... 针对用电侧异常行为自动识别中存在的错识和漏识问题,提出融合离群点检测与K-means的用电侧异常行为自动识别方法。通过对用电侧行为数据进行填补及标准化处理,实现对原始数据的预处理;通过对用电侧行为进行离群点检测,深入挖掘数据中的潜在规律,提取离散特征的数据点。利用K-means算法对检测出的时间离群点序列进行聚类,识别序列中的异常行为,实现融合离群点检测与K-means的用电侧异常行为自动识别。实验证明,所设计方法的错识率不超过1.5%,漏识率不超过1%,可实现对用电侧异常行为的自动识别。 展开更多
关键词 离群点检测 K-meanS 用电侧 异常行为 标准化
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结合蝙蝠算法和紧密度改进的三支K-means算法
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作者 孙清 叶军 +2 位作者 曾广财 宋苏洋 汪一心 《山东大学学报(理学版)》 北大核心 2026年第1期65-75,共11页
本文结合蝙蝠算法和紧密度改进三支K-means算法,利用黄金分割系数和种群平均位置优化蝙蝠算法,根据优化后的蝙蝠算法搜索初始聚类中心,提高三支K-means算法的稳定性。依据紧密度判断核心域和边界域的阈值,减少边界域样本数量,提高三支K-... 本文结合蝙蝠算法和紧密度改进三支K-means算法,利用黄金分割系数和种群平均位置优化蝙蝠算法,根据优化后的蝙蝠算法搜索初始聚类中心,提高三支K-means算法的稳定性。依据紧密度判断核心域和边界域的阈值,减少边界域样本数量,提高三支K-means算法的准确性。对比实验采用9个数据集与6种聚类算法,实验结果表明本文算法提升聚类性能,验证本文算法有效性和实用性。 展开更多
关键词 K-meanS聚类 蝙蝠算法 紧密度 K-meanS算法 三支决策
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Association between self-compassion,meaning in life,resilience,health-related quality of life and diabetes self-management among people living with type 2 diabetes in Nigeria
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作者 Chinenye Joseph Aliche Erhabor Sunday Idemudia Ike E.Onyishi 《Journal of Psychology in Africa》 2026年第1期107-115,共9页
Self-compassion is an important psychological resource that improves health-related quality of life and diabetes self-management;however,the psychological processes underlying these associations remain unclear.This st... Self-compassion is an important psychological resource that improves health-related quality of life and diabetes self-management;however,the psychological processes underlying these associations remain unclear.This study examined the roles of meaning in life and resilience in the relationship between self-compassion and both health-related quality of life and diabetes self-management.Participants were 301 individuals living with type 2 diabetes(176(58.5%)females,M age=49.69,SD=12.36)conveniently selected from two tertiary healthcare institutions in Nigeria.They completed self-report measures of self-compassion,meaning in life,resilience,health-related quality of life and diabetes selfmanagement.Multiple regression analyses indicated that self-compassion positively predicted health-related quality of life and diabetes self-management.Meaning in life and resilience independently and positively predicted health-related quality of life and diabetes self-management.Mediation analysis showed that meaning in life mediated the association between self-compassion and health-related quality of life,as well as diabetes self-management.Likewise,resilience mediated the connection between self-compassion and health-related quality of life,and diabetes self-management behaviour.Intervention for diabetes self-management should focus on promoting self-compassion,meaning in life and resilience abilities of patients,as they can potentially improve health and self-care behaviours needed for recovery. 展开更多
关键词 DIABETES SELF-COMPASSION RESILIENCE meaning in life health-related quality of life and diabetes selfmanagement
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Assessment of pan-immune-inflammation value as a novel marker of proliferative diabetic retinopathy stage
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作者 Ozlem Candan Gözde Orman +1 位作者 NurtenÜnlü Güner Uney 《International Journal of Ophthalmology(English edition)》 2026年第3期517-525,共9页
AIM:To evaluate the predictive value of pan-immuneinflammation value(PIV)in the diagnosis of proliferative diabetic retinopathy(PDR)and its association with the stage of PDR.METHODS:This observational case-control stu... AIM:To evaluate the predictive value of pan-immuneinflammation value(PIV)in the diagnosis of proliferative diabetic retinopathy(PDR)and its association with the stage of PDR.METHODS:This observational case-control study included participants who underwent routine complete blood count testing.Inflammation-related indices,including neutrophil-to-lymphocyte ratio,systemic immune-inflammation index(SII),and PIV,were derived and analyzed.Receiver operating characteristic curve(ROC)analysis was applied to assess the diagnostic performance of these indices in distinguishing patients with PDR,with sensitivity,specificity,area under ROC,and optimal threshold values calculated.In addition,binary logistic regression analysis was performed to evaluate the association between inflammatory indices and PDR stage.RESULTS:This study included 205 patients:60 with diabetes without retinopathy(mean age:61.81±10.76y),80 with PDR(mean age:61.63±10.03y)and 65 healthy controls(mean age:59.52±5.88y).The PDR group had significantly higher white blood cell(WBC,P<0.001),monocyte(MONO,P=0.009)and neutrophil(NEU)counts(P<0.001).SII and PIV had the highest sensitivity and area under ROC for predicting patients with PDR(0.822,0.846,respectively).The optimal cut-off values for discriminating patients with PDR were determined to be>527.12 and>299.08 for SII and PIV,respectively.The logistic regression analysis demonstrated that a decrease in lymphocyte(LYM)count and an increase in platelet count(PLT),glycated haemoglobin(HbA1c),SII,and PIV were all significantly associated with the development of high-risk PDR(all P<0.05).PIV was more stable than independent MONO,LYM,PLT and NEU levels in predicting both the diagnosis and stage of PDR.The optimal cut-off value for PIV to discriminate patients with high-risk PDR was found to be>345.87 area under ROC=0.871,with sensitivity of 0.827 and specificity of 0.812.CONCLUSION:PIV is a reliable,valuable,and inexpensive blood index that can be used for early detection and staging of PDR.PIV may therefore be essential to be used for the follow-up of diabetic patients. 展开更多
关键词 pan-immune-inflammation value proliferative diabetic retinopathy systemic immuneinflammation index monocyte-related inflammation systemic inflammation
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Social Network and Value Chain Integration:Unraveling the Formation and Evolution of Meizhou Pomelo Industry Cluster in China
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作者 YANG Ren LIN Yuancheng ZHANG Xin 《Chinese Geographical Science》 2026年第2期239-255,共17页
The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation... The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation and evolution of Meizhou pomelo industry cluster in China,focusing on its role in restructuring rural socio-economic systems and integrating the whole value chains.Based on a case study employing qualitative methods such as in-depth interviews and participatory observation,the agricultural cluster evolution of Meizhou pomelo was categorized into three key phases of initial decentralization,self-organized scaling,and reorganized clustering.Geographical proximity and industrial agglomeration constitute the physical foundation,while vertical/horizontal linkages,technologic-al innovation,and policy support enhance competitiveness.Special mechanisms emerge through localized social networks,farmer co-operatives’activation,and cross-regional market expansion.The cluster’s impact is manifested in the shift from extensive to standard-ized and modernized production,diversified and flexible livelihood of farmers,and the integration of agriculture with industry and ser-vices.The development of the whole value chain based on agricultural cluster represents a critical pathway for achieving agricultural modernization,encompassing both internal and external value chain optimization.Through quality assurance systems,product diversi-fication strategies,operational efficiency improvements,and brand enhancement,these clusters amplify product value propositions and market competitiveness.This systemic approach facilitates supply-demand coordination,enables resource synergies,and optimizes eco-nomic returns across the horizontal and vertical value chain.This paper argues that agricultural clusters serve as strategic catalysts for sustainable rural development by reconstructing local production systems,fostering innovation ecosystems,and aligning agricultural modernization.It contributes to debates on rural vitalization by demonstrating how agricultural clustering can reconfigure rural areas as hubs of ecological modernization,rather than mere urban peripheries. 展开更多
关键词 agricultural cluster sustainable rural development agricultural systems social network whole value chain China
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The five major textile and apparel industry clusters in Xinjiang have achieved an output value exceeding 220 billion yuan
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作者 Qiu Shuchen 《China Textile》 2026年第1期34-35,共2页
In the Tianshan region,a complete textile industry chain has been established,covering the entire process from cotton cultivation and chemical fiber production,through spinning,weaving,dyeing,and finishing,and further... In the Tianshan region,a complete textile industry chain has been established,covering the entire process from cotton cultivation and chemical fiber production,through spinning,weaving,dyeing,and finishing,and further extending to apparel,home textiles,and industrial textiles.In November 2025,the first list of five characteristic textile and apparel industry clusters in Xinjiang was officially announced,marking a new stage in the clustering of Xinjiang's textile and apparel industry.Data shows that the total output value of Xinjiang's cotton and textile and apparel industry chain has exceeded 220 billion yuan.With the nation's largest cotton production,a complete industrial chain system,and strong synergistic effects,Xinjiang has become a leading and highly competitive textile industry hub in China. 展开更多
关键词 clustering XINJIANG cotton production apparel industry chemical fiber industrial chain textile industry output value
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Pursuing Emotional Value
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《ChinAfrica》 2026年第3期60-61,共2页
The Double Take column looks at a single topic from an African and Chinese perspective.This month,we discuss how to understand the growing emphasis on emotional returns among young people.Emotional value has emerged a... The Double Take column looks at a single topic from an African and Chinese perspective.This month,we discuss how to understand the growing emphasis on emotional returns among young people.Emotional value has emerged as a central force shaping youth decision-making across work,consumption,relationships and lifestyle choices.Unlike traditional economic rationality that prioritises income and material security,emotional value focuses on how choices make individuals feel and how they align with personal meaning.This shift is particularly evident in rapidly transforming societies such as China and Ghana,where economic restructuring,globalisation and social change have reshaped pathways to adulthood. 展开更多
关键词 youth decision making emotional returns emotional value material security INCOME WORK CONSUMPTION economic rationality
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A Study on the Form,Material,and Cultural Value of the Rosewood Four-Head Official’s Cap Chair With Golden Flecks:A Case Study of the Inscribed Piece by Wang Shixiang
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作者 HUANG Yun LIN Hai-tao 《Journal of Literature and Art Studies》 2026年第1期43-46,共4页
Ming-style furniture represents the pinnacle of Chinese traditional furniture,with the four-head official’s cap chair standing out as a representative category due to its classic form and cultural connotations.This p... Ming-style furniture represents the pinnacle of Chinese traditional furniture,with the four-head official’s cap chair standing out as a representative category due to its classic form and cultural connotations.This paper takes a specific rosewood four-head official’s cap chair inscribed by Wang Shixiang as the research subject,employing a tripartite approach of form analysis,material examination,and inscription interpretation.The chair strictly adheres to the classic form of Ming-style four-head official’s cap chairs,embodying the Ming Dynasty design philosophy of“the unity of function and aesthetics”.The scarcity and unique grain pattern of the golden-flecked rosewood(Zitan)endow it with the status of“gold among woods”.Wang Shixiang’s inscription binds the furniture to the cultural essence of“the charm of the Ming Dynasty”,transforming it into“heritable cultural heritage”.This paper provides a new perspective for the case study of Ming-style furniture and offers theoretical reference for the contemporary inheritance of traditional craftsmanship. 展开更多
关键词 Ming-style furniture Four-head official’s cap chair rosewood with golden flecks Wang Shixiang inscription cultural value
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Research on the Symbolic Value of Nuo Masks in the Context of Contemporary Intangible Cultural Heritage Preservation
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作者 LIU Yuan-feng HUANG Li-na LIN Hai-tao 《Journal of Literature and Art Studies》 2026年第1期67-71,共5页
The Nuo mask is the core visual vehicle within China’s Nuo culture and constitutes a complex symbolic system through facial features(icons),patterns(indexes),and colors(symbols).Within the context of intangible cultu... The Nuo mask is the core visual vehicle within China’s Nuo culture and constitutes a complex symbolic system through facial features(icons),patterns(indexes),and colors(symbols).Within the context of intangible cultural heritage(ICH)preservation,its value lies in the continuation and revitalization of its dynamic symbolic functions.Grounded in semiotic theory,this paper elaborates on three core dimensions of symbolic value manifested by Nuo masks in ICH preservation:a ritual symbol for living transmission,a symbol of identity for collective memory,and an aesthetic symbol as a source of creativity. 展开更多
关键词 Nuo masks intangible cultural heritage preservation symbolic value sense of community for the Chinese nation cultural innovation
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基于改进k-means聚类的静态低轨星座分布式时间同步方法
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作者 王伟 荆小通 +1 位作者 臧文驰 彭竞 《信息对抗技术》 2026年第1期120-128,共9页
由于低轨星座卫星数量庞大,在保证低成本的前提下星座时间同步精度难以长期维持。针对该问题,提出了基于激光星间链路实现整个星座分组同步的分布式时间同步架构,并在此架构基础上提出基于改进k-means算法的星钟配置及分组同步方法。构... 由于低轨星座卫星数量庞大,在保证低成本的前提下星座时间同步精度难以长期维持。针对该问题,提出了基于激光星间链路实现整个星座分组同步的分布式时间同步架构,并在此架构基础上提出基于改进k-means算法的星钟配置及分组同步方法。构建了4类星座构型,分别采用原始k-means算法、k-mediods算法和改进k-means算法对其进行仿真,实现星座的分组时间同步。结果表明,k-mediods算法不能解决原始k-means算法易陷入局部最优的问题,而改进k-means算法可以更好地解决,且其最终整网时间同步误差优于原始k-means算法和k-mediods算法;4类星座采用原始k-means算法的最终整网误差相较于初始整网误差分别提升9.13%、8.05%、16.16%、17.24%,k-mediods算法分别提升10.59%、8.32%、17.60%、18.92%,改进k-means算法分别提升20.95%、20.23%、23.02%、23.18%;且其时间同步性能较原始k-means算法和k-mediods算法均有所提升。 展开更多
关键词 低轨星座 K-meanS算法 星钟配置 时间同步
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差分隐私HADPK-means++聚类算法
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作者 徐富国 李磊 陈涛 《福建电脑》 2026年第2期7-15,共9页
为解决差分隐私k-means聚类算法在迭代过程中因噪声累积导致簇中心偏离,进而影响聚类可用性的问题,本文提出一种高可用性的差分隐私HADPK-means++算法。该方法通过基于逆序排序的初始簇中心选择以提升初始中心质量,引入结合簇内与簇间... 为解决差分隐私k-means聚类算法在迭代过程中因噪声累积导致簇中心偏离,进而影响聚类可用性的问题,本文提出一种高可用性的差分隐私HADPK-means++算法。该方法通过基于逆序排序的初始簇中心选择以提升初始中心质量,引入结合簇内与簇间相似度的新度量以优化样本划分,并利用差分隐私的变换不变性对加噪后的簇中心进行修正,防止其偏离有效数据范围。在Iris、Wine等多个真实数据集上的实验表明,在相同隐私保护预算下,本算法的F值与标准互信息(NMI)均优于现有主流差分隐私k-means算法。HADPK-means++算法能有效抑制簇中心偏离,提升聚类的可用性与鲁棒性。 展开更多
关键词 聚类 K-meanS算法 差分隐私
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