Segmented Data Encoding for Space-Limited RFID and Print Media
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Solution Overview
Problem
Conventional systems for encoding and decoding data on storage mediums like RFID tags and print media face limitations due to limited storage space, requiring innovative methods to efficiently encode and decode data while minimizing storage requirements.
Innovation Solution
A method and apparatus that parse data into portions based on character position and semantic information, using multiple encoding schemes to generate data packets, allowing for efficient storage and decoding of specific data portions, reducing computational intensity and storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored on storage media such as RFID tags and print media, then data can be retained and accessed, but the limited storage space restricts the amount of data that can be stored
Solution Approach 1:
The patent divides data into multiple portions based on character position and semantic information. Each portion is then encoded using different encoding schemes (e.g., ASCII, EBCDIC, hexadecimal) to optimize storage efficiency. This segmentation allows the system to store more data within the limited storage space of RFID tags and print media by selecting appropriate encoding for each segment.
Solution Approach 2:
Different encoding schemes are applied to different data portions based on their specific characteristics. For example, numeric data may use compact binary encoding while alphanumeric data uses ASCII or EBCDIC. This local optimization of encoding quality maximizes the storage capacity utilization without requiring uniform encoding across all data.
2Quantity of substance
If conventional encoding methods are used to store data, then data can be stored, but the storage space required increases with data size
Solution Approach 1:
The patent changes the encoding parameters (character set, base representation) based on the data characteristics. By transforming data from standard ASCII to more compact representations like hexadecimal or custom encodings for specific data types, the system reduces the storage space required while maintaining data integrity and retrievability.
3Productivity
If data is parsed into multiple portions using different encoding schemes, then storage efficiency improves, but the complexity of the encoding process increases
Solution Approach 1:
The system performs preliminary actions by pre-defining encoding schemes for different data types and positions. The parser is pre-configured with rules that automatically select appropriate encodings based on data characteristics, reducing the computational complexity during actual encoding operations. This preliminary setup simplifies the overall process despite multiple encoding schemes.
Solution Approach 2:
The encoding system automatically selects and applies appropriate encoding schemes based on data characteristics without requiring manual intervention. The parser self-determines which encoding to use for each data portion based on predefined rules, making the complex process transparent and automated.
Data Source
AI summary
An encoding method is illustrated. The method includes receiving data to be encoded onto a storage media, wherein the data corresponds to an item and is assigned to a data category. Further, the method includes parsing data into a plurality of data portions, based on one or more first characteristics associated with each of one or more characters in the data. The method further includes encoding, by the processor, the plurality of data portions using a plurality of encoding schemes, to generate a data packet, such that a first data portion of the plurality of data portions is encoded using a first encoding scheme of the plurality of encoding schemes and a second data portion of the plurality of data portions is encoded using a second encoding scheme of the plurality of encoding schemes, wherein the first encoding scheme is different from the second encoding scheme. Furthermore, the method includes transmitting the data packet, wherein the data packet is configured to be stored in the storage media.