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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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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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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
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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...
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Related Experiment Video

Updated: Sep 3, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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IoT Security and Computation Management on a Multi-Robot System for Rescue Operations Based on a Cloud Framework.

Swarnabha Roy1, Tony Vo1, Steven Hernandez1

  • 1Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.

Sensors (Basel, Switzerland)
|July 28, 2022
PubMed
Summary
This summary is machine-generated.

This study demonstrates secure Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) coordination using blockchain and cloud computing for autonomous surveillance. This approach enhances security and reduces system costs.

Keywords:
IoT securityRobot Operating System (ROS)Unmanned Aerial Vehicle (UAV)Unmanned Ground Vehicle (UGV)blockchaincloud roboticsimage detectionmulti-robot coordinationrobotics

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Area of Science:

  • Robotics
  • Cybersecurity
  • Distributed Systems

Background:

  • Multi-robot coordination and modular robotics are increasingly vital.
  • Existing systems face challenges in secure data handling and decentralized control.

Purpose of the Study:

  • To evaluate the secure coordination of an Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV).
  • To implement a system leveraging blockchain for network security and cloud computing for data processing.

Main Methods:

  • Utilized a drone simulation in Unity for the UAV and a rover for the UGV.
  • Integrated sensors for data acquisition, a cloud server for computation, and blockchain for secure registration.
  • Developed a website for user information and alerts.

Main Results:

  • Achieved autonomous surveillance through UAV-UGV cooperation, benefiting from the UAV's wide field of view.
  • Reduced microcontroller costs by simplifying computations via cloud processing.
  • Mitigated security risks from malicious nodes using blockchain technology.

Conclusions:

  • The integrated UAV-UGV system offers a secure and cost-effective solution for autonomous surveillance.
  • Blockchain integration enhances the robustness of multi-robot systems against security threats.
  • Cloud computation optimizes resource utilization and lowers hardware expenses in robotic applications.