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Van de Graaff generators (or Van de Graaffs) are devices used to demonstrate high voltage due to static electricity that can also be used for research. Robert Van de Graaff first built one in 1931 (based on original suggestions by Lord Kelvin) for use in nuclear physics research.
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A three-phase AC generator has a rotor with a rotating magnet placed within the stator mounted with the stationary three-phase winding to generate three-phase voltages via mutual induction. These windings are evenly distributed around the inner circumference of the stator and are arranged 120 electrical degrees apart. Three-phase stator windings consist of three separate coils or groups of coils, known as phases, each connected in Y (star) configuration or Delta configuration.
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An alternator converts mechanical energy into electrical energy that varies sinusoidally, resulting in AC current. Meanwhile, a DC generator converts mechanical energy into electrical energy, which are DC pulses with the same polarity. The construction of a DC generator is similar to that of an alternator, except that the pair of slip rings is replaced by a single split ring, also called a commutator. The commutator functions like a periodic rotary switch; it changes the contacts with the...
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Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
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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.
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Preparation of ZnO Nanorod/Graphene/ZnO Nanorod Epitaxial Double Heterostructure for Piezoelectrical Nanogenerator by Using Preheating Hydrothermal
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A True Random Number Generator Design Based on the Triboelectric Nanogenerator with Multiple Entropy Sources.

Shuaicheng Guo1, Yuejun Zhang1, Ziyu Zhou1

  • 1Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China.

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|September 28, 2024
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Summary
This summary is machine-generated.

This study presents a novel triboelectric nanogenerator (TENG) integrated with a true random number generator (TRNG) for secure, self-powered Internet of Things (IoT) devices. The design achieves high throughput and randomness, overcoming limitations of current systems.

Keywords:
differential algorithmmulti-entropy sourcestriboelectric nanogeneratortrue random number generators

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Area of Science:

  • Energy Harvesting
  • Cybersecurity
  • Nanotechnology

Background:

  • Internet of Things (IoT) devices require secure data communication and self-powered operation.
  • Triboelectric nanogenerators (TENGs) offer potential for energy harvesting in IoT.
  • True random number generators (TRNGs) are crucial for IoT data encryption, but current designs face limitations.

Purpose of the Study:

  • To develop an integrated, environmentally friendly TENG-based TRNG for resource-constrained IoT applications.
  • To enhance the randomness and throughput of TRNGs by leveraging TENG characteristics.
  • To address limitations in existing TRNG designs regarding usage scenarios and data processing.

Main Methods:

  • Proposed a contact-separation TENG structure incorporating heat fluctuation and charge decay as entropy sources.
  • Implemented filtering and differential algorithms for TENG data processing to improve randomness.
  • Fabricated and experimentally verified the performance of the TENG-based TRNG.

Main Results:

  • Achieved a random number throughput of 25 Mbps.
  • Demonstrated a randomness test pass rate approaching 99%.
  • Validated the suitability of the TENG-based TRNG for resource-constrained IoT applications.

Conclusions:

  • The developed TENG-based TRNG offers a promising solution for secure and self-powered IoT devices.
  • The integration of TENGs with TRNGs significantly enhances security and operational capabilities in IoT.
  • The proposed design overcomes previous limitations, paving the way for more robust IoT security.