The paper presents a new programming language called QRscript that can be embedded directly into QR codes. This allows devices and objects to become smarter without requiring an internet connection. The key highlights are:
QRscript is designed to be highly compact to fit within the limited storage capacity of QR codes. Different "dialects" of the language can be defined to balance expressiveness and code size.
The paper focuses on a specific dialect called the Decision Tree Dialect (DTD) that enables encoding decision trees within QR codes. This allows the QR codes to guide workers through tasks like configuration, operation, management, and maintenance of industrial equipment.
The paper describes the complete process of translating a high-level program written in the DTD dialect into a binary representation that can be encoded in a QR code. It also details the reverse process of executing the encoded program using a virtual machine.
An illustrative example is provided showing how a decision tree for troubleshooting an industrial network connectivity issue can be represented using the DTD dialect and embedded in a QR code.
The proposed QRscript language and its DTD dialect enable a new class of applications where portable devices can interact with and execute programs stored in QR codes, without requiring internet connectivity. This is particularly useful for industrial settings where network access may be limited or unavailable.
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arxiv.org
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by Stefano Scan... at arxiv.org 04-09-2024
https://arxiv.org/pdf/2404.05073.pdfDeeper Inquiries