Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

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
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
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
PI Controller: Design01:24

PI Controller: Design

1.1K
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.1K
PD Controller: Design01:26

PD Controller: Design

582
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
582
Controller Configurations01:22

Controller Configurations

330
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
330

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Coral-CRCA: A Color-Reference Chart Automation algorithm for coral bleaching visualization and severity assessment.

Marine pollution bulletin·2026
Same author

RAUM-GANs: a multi-layer GAN-enhanced framework for accurate multiple sclerosis lesion segmentation in MRI.

Scientific reports·2025
Same author

SFARP: a multi-layered real-time security framework for hybrid ARP and DDoS attack defense in SD-IoT networks.

Scientific reports·2025
Same author

Underwater SLAM Meets Deep Learning: Challenges, Multi-Sensor Integration, and Future Directions.

Sensors (Basel, Switzerland)·2025
Same author

A new medical image encryption using modular integrated logistic exponential map and multi-level Q-Sequence matrix.

Scientific reports·2025
Same author

Poisonous Plant Prediction Using Explainable Deep Inherent Learning Model.

Sensors (Basel, Switzerland)·2025

関連する実験動画

Updated: Jan 7, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

974

MC-LBTO:SD-IoTパフォーマンス最適化のためのセキュアでレジリエントな状態認識型マルチコントローラーフレームワークと適応型負荷分散

Ashraf Alyanbaawi1, Ameer El-Sayed2, Nihal Salah3

  • 1College of Computer Science and Engineering, Taibah University, Yanbu, 966144, Saudi Arabia.

Scientific reports
|December 26, 2025
PubMed
まとめ
この要約は機械生成です。

MC-LBTOは、Software-Defined IoT (SD-IoT)ネットワーク向けのモジュラー型マルチコントローラーフレームワークを提供し、インテリジェントなトラフィック管理と適応型制御を通じてスケーラビリティと効率を向上させます。このシステムは、要求の厳しいIoT環境の負荷分散とネットワークレジリエンスを最適化します。

キーワード:
適応型負荷分散IoTマルチコントローラーレジリエンスSDN状態認識型モニタリング信頼されたフェイルオーバー

さらに関連する動画

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K

関連する実験動画

Last Updated: Jan 7, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

974
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K