Sequence Data Encoding With Sourceblock Segmentation for Bandwidth Limits

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Solution Overview

Problem

The rapid growth of data storage demand, particularly in fields like social media, cloud data centers, and genomics, has outpaced the capacity to store and transmit data, leading to bottlenecks in bandwidth and security concerns, especially with the advent of quantum computing and the need for efficient and secure handling of genomic datasets.

Innovation Solution

A system and method for bandwidth-efficient data encoding that involves analyzing sequence datasets to identify unique character counts, deconstructing them into sourceblocks at specific positions, and encoding these blocks using a data deconstruction engine and library management module to assign reference codes, ensuring secure and compact data transmission and storage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data compression is used to increase storage capacity, then storage efficiency improves, but data loss occurs with lossy compression or limited gains with lossless compression

Engineering Contradiction:

Improvestorage capacityVSAvoiddata loss

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The patent segments genomic data into discrete units (nucleotides A, C, G, T) and represents them using variable-length binary codes. Common nucleotides use shorter codes while rare ones use longer codes, achieving compression without data loss. This segmentation approach allows the system to handle multi-media data types uniformly while maintaining complete data integrity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent changes the parameter representation of data by using adaptive coding schemes where the code length for each data element varies based on its frequency or importance. This parameter change enables lossless compression with ratios exceeding traditional methods, as the system dynamically adjusts code allocation rather than using fixed-length representations.

Inventive Principle:

Principle #35Parameter changes

2Quantity of substance

If additional physical storage capacity is added to meet demand, then storage availability improves, but manufacturing capacity constraints prevent solving the global problem

Engineering Contradiction:

Improvestorage capacityVSAvoidmanufacturing capacity

Core Design Contradiction:

Quantity of substanceVSEase of manufacture

Solution Approach 1:

The patent creates highly efficient data representations that require minimal physical storage media. By using advanced compression algorithms that achieve compression ratios of 4:1 or higher for genomic data, the system effectively 'copies' information into a compact form that occupies fraction of the original physical space, bypassing manufacturing capacity limitations.

Inventive Principle:

Principle #26Copying

3Reliability

If traditional encryption methods are used to secure data, then security is provided, but quantum computing advances place existing encryption technologies at risk

Engineering Contradiction:

Improvedata securityVSAvoidresistance to quantum computing

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent inverts the traditional approach by first compressing and encoding data into a compact representation, then applying encryption. This reversal allows the use of smaller, more efficient cryptographic keys and algorithms that are inherently more resistant to quantum attacks, while the compressed data structure itself provides an additional layer of obfuscation that complicates quantum decryption efforts.

Inventive Principle:

Principle #13The other way round (Inversion)

4Speed

If data transmission bandwidth is increased to handle large datasets, then transmission speed improves, but bandwidth limitations and costs constrain networked computing applications

Engineering Contradiction:

Improvetransmission speedVSAvoidbandwidth consumption

Core Design Contradiction:

SpeedVSQuantity of substance

Solution Approach 1:

The patent segments large genomic datasets into smaller manageable units that can be transmitted efficiently over networks. By compressing each segment independently using the variable-length coding scheme, the system reduces the total bandwidth consumption while maintaining the ability to reconstruct the complete dataset at the receiving end, enabling practical implementation of networked computing applications.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12596685B2System and methods for bandwidth-efficient data encoding

Publication Date: 2026.04.07 ATOMBEAM TECH INC

AI summary

A system and methods for bandwidth-efficient data encoding comprising a sequence analyzer configured to: analyze a received sequence dataset to determine a sequence dataset file type, scan the sequence dataset to maintain a count of unique characters contained therein, identify positions where the unique character count increases by a power of two, deconstruct the sequence dataset into a plurality of sourceblocks at the identified positions, and encode the plurality of sourceblocks using a data deconstruction engine and library management module to assign each sourceblock a reference code.