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Reducing Line Loss

Reducing Line Loss

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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Optimization of Internet of Things Remote Desktop Protocol for Low-Bandwidth Environments Using Convolutional Neural

Hejun Wang¹, Kai Deng¹, Guoxin Zhong¹

¹Institute of Computer Application, China Academy of Engineering Physics, Mianyang 621900, China.

Sensors (Basel, Switzerland)

|February 24, 2024

Summary

This summary is machine-generated.

This study optimizes remote desktop image quality and bandwidth using a novel CNN-based RFB protocol. It significantly reduces bandwidth use while improving visual fidelity for IoT GUI applications.

Keywords:

IoT remote desktop Remote Frame Buffer protocol image compression virtual network console

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Area of Science:

Computer Science
Image Processing
Network Engineering

Background:

Remote desktop tools are essential for efficiency but strain bandwidth.
Traditional JPEG compression for remote desktops causes quality loss.
Deep learning offers advanced image compression alternatives.

Purpose of the Study:

To optimize desktop image quality and bandwidth in remote IoT GUI scenarios.
To introduce an improved Remote Frame Buffer (RFB) protocol using CNNs.
To enhance visual perception in remote desktop image processing.

Main Methods:

Developed an optimized RFB protocol incorporating a convolutional neural network (CNN) image compression algorithm.
Focused on human visual perception for desktop image processing.
Evaluated performance against unoptimized RFB protocols.

Main Results:

Achieved 30-80% bandwidth savings compared to unoptimized RFB.
Demonstrated enhanced remote desktop image quality using PSNR and MS-SSIM metrics.
Provided superior desktop image transmission quality.

Conclusions:

The CNN-based optimized RFB protocol offers significant bandwidth reduction.
The proposed method improves image quality metrics for remote desktop applications.
This approach enhances the efficiency and user experience of remote IoT GUI systems.