Flow Graph Extraction for Region-Specific Measure Planning
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Solution Overview
Problem
Existing methods struggle to adapt measures from one region to another due to differing regional characteristics, making it difficult to directly apply measures from other regions to a specific region, and there is a challenge in extracting the element structure of measures.
Innovation Solution
A data infrastructure platform that utilizes a flow graph to share and combine measures from multiple regions, extracting path structures and generating measure candidate flows by connecting branch nodes, allowing for the generation of appropriate measures tailored to the specific region's characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If measures from other regions are directly applied to own region, then administrative ease of execution is improved, but adaptability to regional characteristics deteriorates
Solution Approach 1:
The patent segments measures into measurable elements and structures that can be independently analyzed and extracted. By breaking down complex measures from multiple regions into their constituent elements, the system enables selective combination and adaptation to local characteristics while maintaining administrative efficiency through standardized measurement frameworks.
Solution Approach 2:
The patent applies parameter changes by establishing measurable parameters and indicators that allow measures to be quantified, compared, and adjusted according to regional characteristics. This enables the transformation of qualitative measure concepts into quantifiable parameters that can be systematically modified to suit different regional contexts.
2Adaptability or versatility
If measures are customized for own region by combining measures from multiple regions, then adaptability to regional characteristics is improved, but difficulty in extracting element structure increases
Solution Approach 1:
The patent replaces manual, mechanical analysis of measure structures with automated computational methods. By using information processing apparatus and algorithms to extract and analyze element structures from multiple measures, the system reduces the complexity and difficulty of what would otherwise require extensive manual effort and expert analysis.
Solution Approach 2:
The patent creates standardized templates and models of measure element structures that can be copied and reused. By establishing reusable patterns and frameworks for measuring and structuring measures, the system eliminates the need to reanalyze basic structural elements each time new measures are developed, significantly reducing extraction complexity.
3Adaptability or versatility
If measure planners consider measures on paper, then design flexibility is improved, but ability to extract and analyze element structure deteriorates
Solution Approach 1:
The patent replaces traditional paper-based measure planning with digital information processing systems. This substitution enables automated extraction, analysis, and structuring of measure elements while preserving design flexibility through computational tools that can manipulate and analyze measure data in ways impossible with paper-based methods.
Solution Approach 2:
The patent introduces an intermediary information processing system that acts as a bridge between measure planners' conceptual designs and the extraction of structured elements. This intermediary layer captures, structures, and preserves measure information in standardized formats, preventing information loss while maintaining the flexibility needed for creative measure design.
Data Source
AI summary
An extraction method includes acquiring a measure including a plurality of conditional branches coupled by a directed edge and each node coupled to a branch destination of each of the plurality of conditional branches, and extracting a conditional branch that is a branch source of each of the nodes from the plurality of conditional branches included in the measure, by a processor.


