Data Condenser Reference Encoding for Lossless Large-File Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies face challenges in efficiently storing, sharing, and transmitting large genomic and other datasets due to high storage and transfer burdens, especially in institutions with limited resources and infrastructure, leading to laborious and often impossible data management.
Innovation Solution
An optimized data condenser method that reduces storage and transfer overheads by condensing data into Hexadecimal, Base-256, or other NBase values, allowing for lossless data storage and transmission, with the ability to revert to original format without data loss, and providing inherent encryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in traditional flat text file formats, then data can be easily read and accessed, but storage space requirements become prohibitively large and data transfer becomes extremely burdensome
Solution Approach 1:
The patent applies parameter changes by converting data from traditional text file format to a condensed binary format using numerical base systems (Hexadecimal, Base-256, or NBase). This transformation changes the fundamental parameters of data representation, reducing storage requirements while maintaining the ability to retrieve and interpret the original data through decoding processes.
Solution Approach 2:
The patent creates a condensed copy of the original data that contains all essential information in a compressed form. The condensed file serves as a representative copy that can be stored and transferred efficiently, while the original data can be reconstructed when needed through the decoding process using associated reference files.
2Reliability
If physical hard drives are sent for data transfer, then data can be securely transmitted, but the process becomes cumbersome, expensive, and unsustainable
Solution Approach 1:
The patent replaces the mechanical system of physical hard drive transportation with a digital data transmission system. By condensing data into compact binary formats, the invention enables efficient electronic transfer of large datasets without requiring physical media shipment, thereby improving productivity while maintaining security through controlled digital access.
3Quantity of substance
If data is condensed to reduce storage requirements, then storage and transfer efficiency improves, but data complexity and processing requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-defining numerical base systems and coding schemes (Hexadecimal, Base-256, NBase) that structure the condensation process. These pre-established frameworks provide systematic methods for converting, storing, and reconstructing data, reducing the ad-hoc complexity that would otherwise arise from custom condensation algorithms.
4Loss of information
If lossless compression is implemented to preserve data integrity, then data accuracy is maintained, but compression ratios are limited compared to lossy methods
Solution Approach 1:
The patent achieves superior lossless compression by fundamentally changing the parameter of data representation from text-based to numerical base-based systems. By encoding data as sequences of numbers in optimized bases (particularly Base-256 and NBase), the system achieves much higher compression ratios while maintaining complete data integrity, as the numerical representation is inherently more efficient for computational storage and can be perfectly reconstructed through decoding.
Data Source
AI summary
A data condenser and method provides lossless condensation of numbers, letters, words, phrases, and other indicia to data object values which results in reduction of file size. The data condenser and method classifies data as individual data objects or groups of data objects and distinguishes terms which repeat (e.g. recur). A reference library is optimized according to the quantity of classified data to minimize storage requirements. The classified data is assigned a unique value which populates the reference file. An output file is created by the data condenser using the reference library to achieve optimal lossless condensation. A data reverter and method provides for reversion of condensed data objects such as numbers, letters, words, phrases and other indicia to uncondensed data objects for efficient and accurate use without loss of data objects.