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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

467
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
467

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Enhancing vehicle-mountable multiple object tracking systems with embeddable Ising machines.

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Area of Science:

  • Robotics and Computer Vision
  • Artificial Intelligence
  • Quantum Computing Applications

Background:

  • Multiple object tracking is crucial for autonomous systems like vehicles and robots.
  • Current methods struggle with the assignment problem, especially during long-term occlusions.
  • Machine learning has improved object similarity but not temporal association assignment.

Purpose of the Study:

  • To develop a vehicle-mountable multiple object tracking system.
  • To address the challenge of flexible assignment for tracking through occlusions.
  • To achieve real-time performance for autonomous applications.

Main Methods:

  • Formulated the flexible assignment problem as a nondeterministic polynomial-time hard problem.
  • Utilized an embedded Ising machine with a quantum-inspired simulated bifurcation algorithm.
  • Implemented on a vehicle-mountable computing platform for real-time processing.

Main Results:

  • Demonstrated a flexible assignment function for tracking through multiple long-term occlusions.
  • Achieved real-time system-wide throughput exceeding 20 frames per second.
  • Enhanced tracking functionality for autonomous mobile vehicles and robots.

Conclusions:

  • The developed system effectively solves the complex assignment problem in multiple object tracking.
  • Quantum-inspired algorithms on Ising machines offer a viable solution for real-time, robust tracking.
  • This technology enhances the capabilities of autonomous systems in dynamic environments.