Data Packet Encoding by Segmented Schemes for Limited Storage
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Solution Overview
Problem
Conventional systems for encoding and decoding data on storage mediums like RFID tags and print media are inefficient, as they do not effectively utilize the limited storage space, leading to limitations in the amount of data that can be stored.
Innovation Solution
A method and apparatus that parse data into multiple portions based on character position and semantic information, using different encoding schemes for each portion to generate a data packet, allowing for efficient storage and decoding of specific data portions without needing to decode the entire packet.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored on storage media with limited space, then storage capacity is constrained, but the amount of data that can be stored is reduced
Solution Approach 1:
The patent segments data into multiple portions based on character position and semantic information, encoding each portion independently using different encoding schemes. This allows selective encoding and decoding of specific data portions, optimizing storage space utilization while maintaining the ability to retrieve complete data when needed.
2Quantity of substance
If conventional encoding methods are used, then storage space is not effectively utilized, but the amount of data that can be stored is limited
Solution Approach 1:
The patent applies different encoding schemes to different data portions based on their specific characteristics such as character position and semantic information. This localized approach to encoding optimizes space utilization for each portion while maintaining overall system efficiency, rather than applying a uniform encoding method to all data.
3Ease of operation
If all data portions are decoded to retrieve specific information, then complete data access is achieved, but computational intensity increases
Solution Approach 1:
The patent enables extraction and decoding of only the specific data portion needed rather than decoding the entire encoded data set. By organizing data into semantically meaningful portions with independent encodings, the system allows selective retrieval that reduces computational overhead while maintaining ease of access to required information.
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.