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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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Area of Science:

  • Computer Engineering
  • Data Compression
  • Signal Processing

Background:

  • Event sensors offer high temporal resolution, generating vast amounts of raw data.
  • Low-power event-processing chips with limited memory necessitate efficient, low-complexity coding solutions.
  • Existing compression methods may not be suitable for hardware implementation in resource-constrained environments.

Purpose of the Study:

  • To propose a novel, low-complexity lossless compression method for asynchronous event sequences.
  • To enable efficient hardware implementation for low-power event-processing chips.
  • To improve data compression ratios for event sensor data.

Main Methods:

  • Developed a low-complexity coding scheme utilizing a decision tree to minimize residual error representation.
  • Introduced a same-timestamp representation that groups events by timestamp and spatial information.
  • Incorporated header information for random access to any time window.

Main Results:

  • The proposed method achieved average compression improvements of 5.49% (Bzip2), 11.45% (LZMA), and 35.57% (ZLIB).
  • Demonstrated suitability for hardware implementation in low-power event-processing chips.
  • Experimental evaluation on a variable event density dataset confirmed effectiveness.

Conclusions:

  • The novel lossless compression method is suitable for hardware implementation in low-power event-processing chips.
  • This approach offers significant compression improvements over state-of-the-art codecs.
  • It represents the first low-complexity lossless compression for asynchronous event sequences designed for hardware integration.