Results 51 to 60 of about 18,329 (166)
Guangtongxin yanjiu, 2011 文章主要针对光传输网管系统中网元数量急剧增长导致的网管数据库更新查询效率极低,甚至出现系统崩溃的问题,提出了一种高效的分布式数据库系统架构。该系统采用主从技术、Memcached技术与分布式数据库结合的方式,将数据分散地存储在多台独立的设备上,提高了数据的查询效率。系统容量大、可靠性高、扩展能力强,具有很强的实用性。
朱红霞, 黄晓
doaj
Dizhen xuebao本文开展了基于地震活动图像预测华北地区地震的机器学习方法研究。根据华北地区M≥5.0中强震、强震及大震的地震平均时间间隔，采用1970年以来华北地区M≥5.0中强震、强震及大震震前大量不同时窗长的ML≥3.0地震活动图像作为输入数据集，提出了基于地震活动图像预测地震的机器学习方法，并进行了震例回溯。利用本文提出的方法选取“未拓展图像数据集”和“含拓展图像数据集”对华北地区发生中强地震进行预测对比，结果显示，数据集样本量的增加有利于提高地震预测模型的精度，其中“含拓展图像数据集”预测地震的准确率可达77%；
Xiaofei Yin +4 more
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Key Technologies And Application Research Of Control And Real-time Monitoring Tasks In Smart Home Web Of Things [PDF]
, 2016 随着移动互联、云计算等技术的发展以及人们生活水平的提高，近年来智能家居市场获得长足发展，出现了大批新型产品，越来越多的用户通过智能设备无线接入互联网，实现内容的获取及相互之间的交互，一定程度上满足了大家的需求，但还普遍存在实时特性差、对于Web支持有限、大量使用私有协议或底层协议、标准兼容性低、设备互联互通困难的问题。 本课题针对智能家居中的两类典型应用场景，将Web协议和架构引入物联网领域，构建出具有开放性和松耦合特性的智能家居物维网（WebofThings，WoT）应用架构，研究工作取得以下创新点：
张帆
core
A review of deep learning-based few sample fault diagnosis method for rotating machinery [PDF]
ObjectivesDeep learning has shown great potential in the field of rotating machinery fault diagnosis. Its excellent performance heavily relies on sufficient training samples.
Jun WU +4 more
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International Journal of Applied Linguistics, EarlyView.ABSTRACT With the increasing number of Chinese international students in Australian universities, intercultural competence has become a critical factor influencing their interactions with Australian tutors in university classroom settings. Existing research often examines students’ intercultural competence from a single‐method or single‐perspective ...
Jiangyu Han, Linda Tsung
wiley +1 more source
Gaoya dianqi, 2023 针对输电线路巡检的复杂场景下被遮挡以及目标较小导致的误检问题，文中提出了一种基于YOLOv5的改进算法模型。首先通过数据增强和数据扩充数据集进行预处理；其次给引入SE模块，加强对不同尺度下目标的特征融合；然后引入CBAM模块，进行进一步特征提取，使提取的特征信息更加突出。最后，对损失函数进行优化，改进小数据导致的样本不均衡现象。经实验证明，改进后的算法有效地提高了被遮挡的目标和小目标的识别率，mAP较原算法精度提高了5%,Recall提高了14.6%。与其他改进模型相比，精度、召回率都有提高 ...
游越, 伊力哈木·亚尔买买提
doaj
Recommendation Method Based on Self-supervised Multi-view Graph Collaborative Filtering [PDF]
Existing graph collaborative filtering algorithms suffer from data sparsity in real-world scenarios and make feature learning more susceptible to interaction noise when aggregating adjacent information.
ZHANG Baoxin, YANG Dan, NIE Tiezheng, KOU Yue
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Policy Studies Journal, EarlyView.Abstract We examine whether and how public participation in policymaking contributes towards fostering stakeholder support for policy proposals formulated in the bureaucratic arena. We explain how key markers of procedural fairness describing both the participation process and policymakers' presentations of it during the decision justification stage co‐
Adriana Bunea, Idunn Nørbech
wiley +1 more source
Policy &Internet, Volume 18, Issue 2, June 2026.ABSTRACT In an era of proliferating but divergent data protection regimes, the European Union's rights‐based approach and China's sovereignty‐centric model have become two dominant poles of global data governance. This article examines how multinational enterprises navigate compliance under these dual systems and how that compliance is shaped through ...
Yiping Cao
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基于数据与知识双驱动的TransSeisNet地震活动性预测
Dizhen xuebao随着地震目录记录数据的不断增长，传统统计方法在数据利用层面存在较大局限性。机器学习方法相较于传统方法的优势在于能够有效处理大量数据，但存在不可解释性问题以及缺少相关的物理约束。本文提出了一种基于地震目录数据与统计地震学知识双驱动的TransSeisNet模型用于解决上述问题。该模型以Transformer为核心架构，基于地震时间点数据进行数据驱动建模，并且为了增强模型的物理合理性，TransSeisNet在输出层和损失函数中融入了地震经验知识约束。模型最终输出相关地震活动性参数并对未来地震活动进行预测 ...
Xuejian Wang +7 more
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