Concise Datasets Platform for Sensor Data Interoperability
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Solution Overview
Problem
Prior art processes for making cyber determinations from sensor observations are inefficient, inaccurate, and unable to handle real-time, scalable, and interoperable needs, particularly in applications like autonomous vehicles and medical diagnostics.
Innovation Solution
A scalable configurable universal full spectrum concise datasets platform that uses measure points from sensor-observation-derived representations to select and utilize concise datasets for making accurate and reliable cyber determinations, reducing data complexity and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If prior art processes are used for making cyber determinations from sensor observations, then the processes can handle various cyber determination needs, but they are inefficient, inaccurate, and cannot meet real-time and scalable requirements
Solution Approach 1:
The patent segments sensor observation data into discrete measure points with specific coordinates and characteristics. Each measure point represents a distinct analytical unit that can be independently processed, enabling efficient parallel computation while maintaining accuracy through structured data organization
Solution Approach 2:
The patent transforms raw sensor observation data into a standardized parameter format with specific coordinates, values, and characteristics. This parameter transformation enables consistent processing across different sensor types and applications, improving both efficiency through standardized operations and accuracy through precise parameter representation
2Reliability
If comprehensive sensor observation data is used for cyber determinations, then accuracy may be maintained, but data complexity increases and processing efficiency decreases
Solution Approach 1:
The patent extracts only the essential measure points from comprehensive sensor observation data. By identifying and extracting specific coordinates and characteristics that are relevant to cyber determinations, the system reduces data complexity while preserving the accuracy needed for reliable determinations
Solution Approach 2:
The patent implements a dynamic data structure where measure points can be selectively added or removed based on the specific cyber determination needs. This allows the system to adapt data complexity to the task at hand, maintaining accuracy when needed while reducing complexity for routine operations
3Adaptability or versatility
If prior art processes are used for cyber determinations, then existing systems can operate, but they cannot provide interoperable and scalable solutions for increasing world needs
Solution Approach 1:
The patent creates a universal measure point data structure and processing framework that can be applied across different cyber determination applications. The standardized format with coordinates, values, and characteristics enables interoperability between different systems and applications, while the modular architecture supports scalable deployment to meet increasing world needs
Data Source
AI summary
A scalable configurable universal complete spectrum concise datasets platform is provided that utilizes measure points from sensor-observation-derived representations or concise datasets in the making of selected cyber determinations regarding or utilizing sensor observations or sensor observation subjects. The platform utilizes necessary resources and predetermined criteria in the making of selected cyber determinations, the platform utilizes measure points and personalized processes in the accurate or reliable locating of selected analytically rich aspects, characteristics or features from sensor-observation-derived representations, wherein appropriate informational representations are assigned to selected analytically rich aspects, characteristics, features, measure points or the sensor observation and stored in concise datasets where they may be utilized in real-time or thereafter in the making of selected cyber determinations regarding or utilizing sensor observations or sensor observation subjects. The platform is configurable for being utilized as a touchless user interface, a 100% accurate cyberspace identity test or a universal health metrics monitor.