Graph Arrangement System for Dynamic Region Adaptation
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Solution Overview
Problem
Generated graphs in image file formats often fail to optimize geometric and attribute information for various arrangement regions, leading to suboptimal fitting and potential distortion when resized.
Innovation Solution
A method and computer-readable medium that automatically rearrange graphs by processing meta information to optimize geometric and attribute information of the graph for the arrangement region, using a drag-and-drop approach to re-render the graph based on the region's meta information, ensuring optimal fit and readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a graph is generated in an image file format, then the graph can be created and displayed, but the graph cannot be optimally rearranged to fit arrangement regions of various sizes without distortion
Solution Approach 1:
The patent applies dynamics by making the graph arrangement flexible and adaptable rather than fixed. The system dynamically adjusts the graph's position, size, and orientation within arrangement regions based on available space and geometric constraints, allowing the graph to adapt to various region sizes while maintaining optimal fit and avoiding distortion.
Solution Approach 2:
The patent changes parameters by processing meta information including geometric information (size, aspect ratio, position) and attribute information (font size, marker size) to optimize the graph for different arrangement regions. The system modifies these parameters dynamically based on the target region's characteristics to achieve optimal arrangement without distortion.
2Adaptability or versatility
If the graph is resized to fit different arrangement regions, then the graph can be adapted to various sizes, but the geometric information and attribute information become distorted
Solution Approach 1:
The patent applies preliminary action by pre-processing the graph and extracting meta information including geometric information and attribute information before arrangement. This allows the system to plan and optimize the arrangement in advance, calculating the best fit for the target region while preserving the integrity of geometric and attribute information, thus avoiding distortion during the actual resizing process.
Solution Approach 2:
The patent replaces the traditional mechanical resizing approach (simple scaling that causes distortion) with an intelligent processing system that uses meta information extraction and optimization algorithms. Instead of forcibly resizing the graph image, the system processes the graph data, analyzes geometric and attribute information, and re-renders or repositions the graph to fit the target region optimally without distortion.
3Ease of operation
If manual arrangement methods are used, then the graph can be positioned in arrangement regions, but the process is time-consuming and lacks optimization
Solution Approach 1:
The patent applies self-service by enabling automatic arrangement of graphs in arrangement regions without requiring manual intervention. The system autonomously extracts meta information, processes geometric and attribute data, determines optimal positioning and sizing, and completes the arrangement automatically, significantly reducing the time required compared to manual methods while maintaining high-quality optimization.
Solution Approach 2:
The patent uses feedback by continuously analyzing the arrangement region's geometric information and comparing it with the graph's meta information during the arrangement process. The system adjusts the graph's parameters based on this feedback loop, optimizing the fit iteratively to achieve the best possible arrangement automatically, which speeds up the process while ensuring optimal results.
Data Source
AI summary
A method for automatically arranging and matching a graph onto a figure, and a computer-readable medium, according to one embodiment of the present invention, include the steps of: (a) receiving data to be used for graph generation; (b) generating a graph including first meta information; (c) generating an arrangement layout including second meta information and including at least one arrangement region in which the generated graph may be arranged; and (d) optimally arranging the generated graph in the at least one arrangement region by using the first meta information and the second meta information.