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Related Concept Videos

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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...
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Distributed Loads: Problem Solving01:21

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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...
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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.
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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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Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
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Related Experiment Video

Updated: Nov 15, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Distributed Architecture for Unmanned Vehicle Services.

João Ramos1, Roberto Ribeiro1, David Safadinho1

  • 1School of Technology and Management, Computer Science and Communication Research Centre, Polytechnic Institute of Leiria, Campus 2, Morro do Lena-Alto do Vieiro, Apartado 4163, 2411-901 Leiria, Portugal.

Sensors (Basel, Switzerland)
|March 6, 2021
PubMed
Summary

The Internet of Unmanned Vehicles (IoUV) enables diverse services by integrating unmanned vehicles (UVs) with a cloud platform. This scalable solution offers remote access to UV-based services, simplifying user interaction and expanding accessibility.

Keywords:
Internet of Unmanned Vehiclescentralized servicescloud platformcloud servicesdistributed architectureunmanned vehicles

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Area of Science:

  • Robotics and Automation
  • Cloud Computing
  • Internet of Things (IoT)

Background:

  • Increasing demand for user-friendly online services.
  • Growing capabilities and advantages of unmanned vehicles (UVs).
  • Limitations in scalability and generic application of current UV solutions.

Purpose of the Study:

  • To propose a scalable and generic solution for delivering diverse services via unmanned vehicles.
  • To establish the Internet of Unmanned Vehicles (IoUV) framework for anytime, anywhere access.
  • To address concerns regarding scalability and genericity in UV service integration.

Main Methods:

  • Development of a cloud-distributed architecture connecting users, services, and vehicles.
  • Implementation of abstract and generic interfaces for UV command abstraction.
  • Prototyping with custom small-sized cars, a quadcopter, and a VTOL aircraft integrated with a cloud platform.

Main Results:

  • Demonstrated feasibility through a prototype accessible via web browser.
  • Validated remote control capabilities across local, remote, and mobile (3G, LTE) networks.
  • Proved benefits of decentralized communication using multiple point-to-point links for remote control.

Conclusions:

  • The proposed IoUV solution provides scalable, accessible UV-based services with minimal technical effort.
  • Modular design facilitates new service creation and vehicle reuse.
  • Enables widespread adoption of UV services for diverse applications.