Jove
Visualize
联系我们

相关概念视频

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

134
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
134
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

676
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
676
Decision Making01:20

Decision Making

146
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
146
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
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
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.5K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Lightweight ECC-Based Self-Healing Federated Learning Framework for Secure IIoT Networks.

Sensors (Basel, Switzerland)·2025
Same author

Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions.

Sensors (Basel, Switzerland)·2025
Same author

A Comprehensive Survey of Privacy-Enhancing and Trust-Centric Cloud-Native Security Techniques Against Cyber Threats.

Sensors (Basel, Switzerland)·2025
Same author

FL-TENB4: A Federated-Learning-Enhanced Tiny EfficientNetB4-Lite Approach for Deepfake Detection in CCTV Environments.

Sensors (Basel, Switzerland)·2025
Same author

Lightweight Authentication Scheme for IoT Based E-Healthcare Service Communication.

IEEE journal of biomedical and health informatics·2023
Same author

A Lightweight authentication scheme for IoT against Rogue Base Station Attacks.

Mathematical biosciences and engineering : MBE·2022
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

605

在IIoT系统中使用量子方法进行基于大数据的安全可靠的决策.

Abir El Azzaoui1, Mikail Mohammed Salim1, Jong Hyuk Park1

  • 1Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括
此摘要是机器生成的。

量子计算为工业物联网 (IIoT) 挑战提供了强大的解决方案. 这项研究引入了智能工厂的量子云模型,提高了可扩展性和生产力.

关键词:
第2章 没有了量子算法中的量子算法量子近似优化算法 量子近似优化算法量子神经网络是一个量子神经网络.智能工厂是一个智能工厂.

更多相关视频

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.5K
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.7K

相关实验视频

Last Updated: Jul 23, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

605
Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.5K
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.7K

科学领域:

  • 量子信息科学 量子信息科学
  • 计算机科学 计算机科学
  • 工业工程 工业工程 工业工程

背景情况:

  • 工业物联网 (IIoT) 和智能工厂在大数据分析方面面临着重大的计算和数据处理挑战.
  • 像机器学习,云计算和人工智能 (AI) 这样的经典解决方案对于复杂的IIoT系统来说变得不足.
  • 量子信息系统 (QIS) 的快速发展为更高效,更快速的数据处理提供了机会.

研究的目的:

  • 探索量子解决方案的实施,以实现基于IIoT的可靠和可持续的智能工厂开发.
  • 确定量子算法可以提高IIoT系统的可扩展性和生产率的应用程序.
  • 提出一种通用系统模型,使智能工厂能够在没有直接硬件所有权的情况下利用量子计算.

主要方法:

  • 讨论量子算法在IIoT系统中的应用.
  • 设计一个使用量子云服务器和基于边缘的量子终端的通用系统模型.
  • 实施和评估两个现实世界的案例研究,以证明模型的可行性.

主要成果:

  • 量子算法显示出在IIoT系统中提高可扩展性和生产力的潜力.
  • 拟议的量子云模型允许智能工厂运行量子算法,而不需要专家知识或量子硬件.
  • 案例研究评估证实了量子解决方案在各种智能工厂领域的好处.

结论:

  • 量子计算提供了一种可行和有益的方法来解决IIoT和智能工厂大数据处理当前的局限性.
  • 开发的量子云模型为工业应用提供了可访问和高效的量子算法执行.
  • 这项研究强调了量子解决方案对未来智能制造的变革潜力.