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Transformers in Distribution System

Transformers in Distribution System

Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
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Block Diagram Reduction

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
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Base Quantities and Derived Quantities

Base Quantities and Derived Quantities

In any system of units, the units for some physical quantities must be specified through a measurement process. These measurements are the base quantities of the system, and their units are the base units of the system. The algebraic combinations of the base values can then be used to express all other physical quantities. Each of these physical quantities is then referred to as a derived quantity, with each unit being referred to as a derived unit.
The International Organization for...

Per-Unit Sequence Models

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An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
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Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...

Design Example: Capacitance Multiplier Circuit

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Related Experiment Video

Updated: Jul 12, 2025

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

4SQR-Code: A 4-state QR code generation model for increasing data storing capacity in the Digital Twin framework.

Ababil Islam Udoy¹, Muhammad Aminur Rahaman¹, Md Jahidul Islam¹

¹Department of CSE, Green University of Bangladesh, Purbachal American City, Kanchan, Rupganj, Narayanganj-1461, Dhaka, Bangladesh.

Journal of Advanced Research

|October 20, 2023

Summary

This study introduces a novel 4-State QR (4SQR) Code, doubling data storage capacity for Industrial Internet of Things applications. The new QR Code uses advanced patterns and YOLO V5 for efficient encoding and decoding.

Keywords:

4-State QR (4SQR) Code Decoding Digital Ttwin Encoding Quick response (QR) code

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Last Updated: Jul 12, 2025

Quasi-light Storage for Optical Data Packets

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Published on: February 6, 2014

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Published on: September 8, 2023

BEST: Barcode Enabled Sequencing of Tetrads

BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

Area of Science:

Computer Science
Engineering

Background:

Quick Response (QR) Codes are widely used in electronic transactions and industry.
The Industrial Internet of Things (IIoT) can benefit from QR Code flexibility, but traditional QR Codes have limited data storage.
Existing methods to increase QR Code capacity are limited.

Purpose of the Study:

To enhance the data storage capacity of QR Codes specifically for the IIoT domain.

Main Methods:

Developed a 4-State QR (4SQR) Code using a 4-State-Pattern-based encoding technique, incorporating four patterns (Black Square Box, White Square Box, Triangle, Circle).
Implemented an adaptive YOLO V5 algorithm for decoding the 4SQR Code images back into original data.

Main Results:

The 4SQR Code encoding and decoding modules were successfully tested in a Digital Twin framework.
3000 random test samples were used, demonstrating successful conversion to 4SQR Code images and accurate data retrieval.

Conclusions:

The proposed 4SQR Code technique effectively doubles the data storage capacity compared to traditional 2-State QR Codes.
This advancement offers a significant improvement for data-intensive IIoT applications.