Jove
Visualize
联系我们
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

相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

418
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
418
Distributed Loads01:19

Distributed Loads

915
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
915
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
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...
6.1K
Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

374
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
374
Levels of Use of a GIS01:29

Levels of Use of a GIS

313
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
313
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

705
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
705

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

Contributions to the Development of Fire Detection and Intervention Capabilities Using an Indoor Air Quality IoT Monitoring System.

Sensors (Basel, Switzerland)·2025
Same author

Easy-to-Use MOX-Based VOC Sensors for Efficient Indoor Air Quality Monitoring.

Sensors (Basel, Switzerland)·2024
Same author

Reengineering Indoor Air Quality Monitoring Systems to Improve End-User Experience.

Sensors (Basel, Switzerland)·2024
Same author

An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities.

Sensors (Basel, Switzerland)·2020

相关实验视频

Updated: Jan 7, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.1K

智能城市和智能建筑的AI支持的动态边缘云资源配置.

Marian-Cosmin Dumitru1, Simona-Iuliana Caramihai1, Alexandru Dumitrascu1

  • 1Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, RO-060042 Bucharest, Romania.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括

本研究介绍了一个季节性自动回归集成移动平均 (SARIMA) 模型,用于物联网中的无云端切换. 它确保了连续运行和提高了资源预测准确性,优于传统方法.

关键词:
边缘计算是一种边缘计算.资源分配的资源分配.智能建筑智能建筑智慧城市是智慧城市.

更多相关视频

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.4K

相关实验视频

Last Updated: Jan 7, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.1K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.4K

科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 智能城市物联网 (IoT) 设备的扩散产生了大量的数据,由于带宽限制,这给基于云的分析带来了挑战.
  • 边缘计算提供了一个解决方案,通过处理更接近源的数据,优化资源配置和提高云计算性能.
  • 对于边缘和云端节点来说,动态资源管理至关重要,需要根据实时负载条件对任务进行优先排序.

研究的目的:

  • 提出云边缘环境中动态资源管理的预测模型.
  • 在云端连接中断期间确保连续运行并保持命令循环完整性.
  • 提高资源利用预测的准确性,以便在智能城市应用中有效地分配资源.

主要方法:

  • 开发一个季节性自动回归集成移动平均线 (SARIMA) 模型来预测资源需求.
  • 在连接丢失时,在云端和边缘节点之间实施无切换机制.
  • 通过使用现实世界资源利用数据,对简单移动平均线 (SMA) 基线进行SARIMA模型的评估.

主要成果:

  • 与SMA基线相比,SARIMA模型在预测准确度方面显著改善.
  • 在CPU使用预测和35%的RAM使用预测中实现了高达64%的改进.
  • 验证了将季节性和自回归元件纳入边缘计算中的预测建模的有效性.

结论:

  • 提出的基于SARIMA的方法有效地管理动态云边缘环境中的资源.
  • 确保不间断的服务和预测完整性,这对于智能城市应用至关重要.
  • 突出了先进的时间序列模型在优化边缘计算性能和资源配置方面的潜力.