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相关概念视频

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Transformers in Distribution System01:27

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Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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相关实验视频

Updated: Jan 16, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

423

基于卷积神经网络的供应链信息安全共享的区块链共识算法.

Lu Cai1, Aijun Liu2, Yongcai Yan3

  • 1School of Economics and Management, Hubei University of Education, Wuhan, 430205, Hubei, China.

Scientific reports
|September 30, 2025
PubMed
概括
此摘要是机器生成的。

这项研究整合了卷积神经网络 (CNN) 和区块链,以确保供应链数据的安全共享. 一个新的PoDaS共识算法提高了联合学习效率和模型准确性,达到96%.

关键词:
区块链共识算法共识算法卷积神经网络是一种卷积神经网络.联合学习是联合学习.信息共享 信息共享数据共享的证据.

相关实验视频

Last Updated: Jan 16, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

423

科学领域:

  • 计算机科学 计算机科学
  • 信息安全 信息安全
  • 供应链管理 供应链管理

背景情况:

  • 传统的供应链受到数据孤岛和信息不对称的影响,阻碍了安全的数据共享.
  • 现有的方法缺乏实时数据验证和高效处理,影响运营效率.
  • 区块链和卷积神经网络 (CNN) 为安全和高效的数据管理提供了潜在的解决方案.

研究的目的:

  • 解决供应链安全共享中的数据孤岛和信息不对称问题.
  • 利用CNN和区块链开发一个安全高效的数据共享机制.
  • 提高供应链的整体运营效率,透明度和分享效率.

主要方法:

  • 卷积神经网络 (CNN) 的集成用于数据分析和隐私保护.
  • 区块链技术的应用,以实现不可变和透明的数据共享.
  • 引入一个具有改进的共识算法,PoDaS (数据共享证明) 的联合学习 (FL) 机制.
  • PoDaS算法利用FL的计算消耗作为工作负载的证明,结合了工作证明 (PoW) 和权益证明 (PoS) 的优势.

主要成果:

  • 与PoW和PoS相比,PoDaS算法在区块生成时间方面表现出卓越的性能.
  • PoDaS实现了96.00%的模型精度,显著超过了传统的PoW和PoS算法.
  • 通过区块链共识验证和记录FL流程,确保了安全性和可靠性.

结论:

  • 拟议的CNN和基于区块链的方法有效地解决了供应链安全中的数据孤岛和信息不对称.
  • PoDaS共识算法提高了联合学习效率和模型准确性,以确保安全的数据共享.
  • 该系统促进实时数据访问,验证,并提高供应链的运营效率.