RF Tag Data Encoding by Semantic Segmentation
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Solution Overview
Problem
Conventional storage mediums such as RFID tags and print media have limited storage space, limiting the amount of data that can be stored due to the size of the data, necessitating more space for longer data strings.
Innovation Solution
Data is parsed into multiple portions based on character position and semantic information, with each portion encoded using different encoding schemes, allowing for efficient storage and quick retrieval of specific data portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in its original form on storage media, then the data can be easily retrieved and decoded, but the storage space required increases with the size of the data
Solution Approach 1:
The patent divides data into multiple portions based on character position and semantic information, then applies different encoding schemes to different portions. This segmentation allows each portion to be encoded efficiently according to its specific characteristics, reducing overall storage space requirements while maintaining the ability to retrieve and decode specific portions independently
Solution Approach 2:
The patent applies different encoding schemes to different data portions based on their specific characteristics such as character position and semantic meaning. This local optimization ensures that each data portion is encoded with the most appropriate scheme for its type, maximizing storage efficiency without requiring a single complex encoding scheme for all data
2Productivity
If different encoding schemes are applied to different data portions, then storage space is reduced and specific portions can be decoded faster, but the encoding process becomes more complex
Solution Approach 1:
By segmenting data into meaningful portions with clear boundaries based on semantic information and character position, the patent enables independent encoding and decoding of each portion. This segmentation allows the system to apply optimized encoding schemes to each segment, improving decoding speed for specific portions while managing complexity through modular processing
Solution Approach 2:
The patent performs preliminary parsing of data into structured portions with identified semantic characteristics before encoding. This preliminary organization of data into clearly defined portions with known properties allows the encoding process to efficiently select and apply appropriate encoding schemes without requiring complex real-time analysis during the encoding phase
Data Source
AI summary
A method for identifying a radio frequency (RF) tag is illustrated. The method includes receiving a user input pertaining to a data portion to be searched in one or more RF tags and a semantic information associated with the data portion, determining an encoding scheme based on the semantic information associated with the data portion to be searched, encoding the data portion using the determined encoding scheme to generate an encoded data portion, transmitting an interrogation command to the one or more RF tags, and receiving the response signal from the RF tag.