Enhanced Data Container with Extensible Characteristics

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current data usage paradigms in computing environments rely on applications for intelligence and functionality, leading to static data with limited interoperability and functionality, requiring extensive external application code for operations, and lacking inherent protection and interactivity.

Innovation Solution

An enhanced data container with an encryption layer and extensible components, including a header and content section, that encapsulates unique identifiers, navigation, and functional APIs, allowing for self-contained intelligence and interaction, enabling granular control, security, and interoperability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data is made static with simple metadata, then data structure remains simple and storage is efficient, but data functionality and interactivity are limited

Engineering Contradiction:

Improvedata functionalityVSAvoiddata structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The data container is segmented into distinct sections: header section containing control information and characteristic extensions, and content section containing the actual data. This segmentation allows functional elements to be added without complicating the core data structure, resolving the contradiction between enhanced functionality and structural simplicity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements nested structures where characteristic extensions can contain other extensions, and the content section can contain multiple data elements. This nesting approach enables complex functionality to be organized within a hierarchical framework, maintaining clarity while enhancing adaptability.

Inventive Principle:

Principle #7Nested doll (Nesting)

2Adaptability or versatility

If applications contain all intelligence for data operations, then application code provides necessary functionality, but system complexity increases and interoperability decreases

Engineering Contradiction:

ImproveinteroperabilityVSAvoidapplication code

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts intelligence from external applications and embeds it directly into the data container through functional components and APIs. This extraction reduces the need for complex application code while enhancing interoperability, as the data itself becomes self-describing and self-processing.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The data container provides self-service functionality through embedded APIs and functional components that enable data to manipulate itself. The container can perform operations without requiring extensive external application code, reducing system complexity while maintaining high interoperability across different platforms.

Inventive Principle:

Principle #25Self-service

3Reliability

If data has no inherent functionality, then data structure remains simple, but data security and protection are insufficient

Engineering Contradiction:

Improvedata securityVSAvoiddata container

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges security functions with the data container structure by integrating encryption layers, integrity validation, and access control mechanisms directly into the container. This combination enhances data security without requiring separate complex security systems, as protection functions are embedded within the container itself.

Inventive Principle:

Principle #5Merging (Combining)

4Adaptability or versatility

If metadata is added to provide information, then data becomes more descriptive, but data remains static without inherent functionality

Engineering Contradiction:

Improvedata interactivityVSAvoiddata container

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent transforms static metadata into dynamic functional components within the data container. The characteristic extensions and APIs enable the data to interact with external systems dynamically, providing interactivity while maintaining a manageable container structure through standardized interfaces.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS10462108B1Enhanced data container with extensible characteristics and a system and method of processing and communication of same

Publication Date: 2019.10.29 HACKER ANDREW J

AI summary

A variety of tools and techniques are disclosed for creating and mapping an enhanced data container. The enhanced data container is comprised of extensible characteristics that when processed interact with a variety of computing devices and computing device components. The enhanced data container is communicated to a variety of computing devices in varying ways and processing of the enhanced data container is coupled with additional systems to manage the enhanced data container by as controlling the number of instances in a system, assigning virtual or real monetary value to instances, assign unique identifiers to instances, and allowing the enhanced data container to be modified by inputs and rendered or transmitted to outputs of computing devices. These technologies bring additional functionality and levels of interaction to data in consumer and business applications.