Results 31 to 40 of about 12,984 (168)
Gaoya dianqi, 2022 绝缘子串是输电线路系统中至关重要的器件之一，基于图像处理的绝缘子串识别，能够更快更准确地识别到绝缘子串。针对输电线路中绝缘子串与绝缘子串、绝缘子串与背景之间相互干扰导致目标识别时存在误差较大的问题，提出一种融入注意力机制的YOLOv3绝缘子串识别方法。该方法在YOLOv3模型的基础上，首先在特征提取网络Darknet-53中加入无参注意力SimAM，聚焦网络和增强有效特征，抑制干扰特征，提高网络对绝缘子串的注意能力；其次根据绝缘子串的形状特征，调整模型预设Anchor box的值；最后以焦点损失 ...
李季 +4 more
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Research on Insulator Detection Algorithm for High-Speed Rail Contact Network [PDF]
To satisfy the requirements of intelligent inspection at a greater level, a rotated insulator target detection algorithm based on the improved YOLOv5 is proposed to solve the inadequacy of conventional detection algorithms used for contact networks in ...
LIU Shibing, ZHOU Shihan
core +1 more source
Scientists in power plays: How substantive were scientists' narratives during the COVID‐19 pandemic?
Policy Studies Journal, EarlyView.Abstract Scientists who provide expert advice must engage with policy processes. Little is known about whether and how scientists deal with the political dynamics of policy processes that are inherent to policymaking. We study this question by building on the policy dimension concept within the Narrative Policy Framework.
Jule Ksinsik, Caroline Schlaufer
wiley +1 more source
Narrative power in the narrative policy framework
Policy Studies Journal, EarlyView.Abstract The Narrative Policy Framework lacks clear and empirical explanations of power. Yet, the study of narratives is inherently the study of power in shaping policy outputs and decisions. We develop a conceptual model positing that expressions of power (power to, with, and over) may be discovered in narrative constructs (e.g., narrative structure ...
Elizabeth A. Shanahan +8 more
wiley +1 more source
基于改进CNN-BiLSTM模型和地磁监测数据的多时间长度GIC预测
Kongjian kexue xuebao太阳风暴在电力系统网络中驱动产生的GIC会影响电力设备和系统的安全运行, 严重时还会引发大面积停电事件. 预测电网GIC水平能够为电力系统保护措施提供重要参考, 然而对这方面的研究仍显不足. 为了解决该问题, 将卷积神经网络(CNN)与双向长短时记忆(BiLSTM)以及注意力机制相结合, 利用空间天气的相关监测信息, 提出了大规模电网GIC多时间长度的预测方法.
蓝 东亮 +6 more
doaj +1 more source
Image recognition method of coal gangue in complex working conditions based on CES-YOLO algorithm [PDF]
Aiming at the complex working conditions environmental factors such as high noise, low illumination, motion blur and mass gangue mixing in coal mines, which lead to the problems of misdetection, omission and low detection accuracy in gangue recognition ...
Deyong LI +4 more
core +1 more source
Policy Studies Journal, EarlyView.ABSTRACT Despite extensive research on policy diffusion, the ways in which policy attention influences this process remain underexplored. This study addressed this gap by distinguishing between three types of policy attention—political speeches, policy issuance and field visits—and investigating their differential impacts when delivered by central and ...
Xiangning Chen, Yahua Wang
wiley +1 more source
Mine remote sensing image denoising method based on improved YOLOv5 [PDF]
The images of typical open-pit mining scenarios exhibit multi-type composite noise characteristics, with a low signal-to-noise ratio and significant spatial heterogeneity.
CHEN Pei, FANG Kun, PEI Dan, QING Yudong
core +1 more source
Issue Attention in Public Opinion Polls: Pollsters as Agenda Responders and Agenda Setters
Policy Studies Journal, EarlyView.ABSTRACT Polling organizations, like other policy actors, must prioritize certain issues. We argue that, for normative and financial reasons, pollsters prioritize issues that are viewed as important by other institutions and the public, leading them to focus survey questions on issues that are on congressional and media agendas, and which are public ...
Qian Zhang +2 more
wiley +1 more source
野生动物学报, 2023 针对使用粪便显微分析法时对食草动物粪便中植物表皮细胞人工分类困难且效率低的问题，提出一种基于多轴注意力的双通道神经网络分类方法，用于自动识别显微镜下食草动物粪便中残留的植物表皮细胞种类。首先，获取粪便中残留的植物表皮细胞图像，作为神经网络模型的输入；引入多轴注意力机制提高网络特征提取能力，同时降低注意力导致的计算复杂度；构建局部和全局通道，提高网络对植物表皮细胞图像信息的获取能力；最后将2个通道提取的特征进行融合，完成对植物种类的识别。此外，应用移动倒置瓶颈卷积（MBConv）模块进行模型的轻量化处理 ...
马光凯 +4 more
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