Merged File Format Conditioning and Cutoff Identification
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Solution Overview
Problem
Current systems face inefficiencies in merging files and identifying distinct portions, particularly in generating a merged file with consistent data formats and table of contents, which hinders processing efficiency and supports for exporting storage format files like PDF without computational delays.
Innovation Solution
A computing environment and method that receive and condition data portions based on their formats, identify cutoffs, and merge them into a file with a consistent format, generating a table of contents for efficient use, and optionally add it to metadata or the file, enabling efficient merging and processing of various document types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple data portions with different formats are merged, then the quantity of processed data increases, but the processing efficiency decreases due to format inconsistencies
Solution Approach 1:
The system performs preliminary conditioning of each data portion to a standardized format before merging. This preliminary action ensures that all data portions are prepared in advance with consistent formats, eliminating format inconsistency issues during the merging process and maintaining high processing efficiency even when merging multiple data portions.
Solution Approach 2:
The system changes the data format parameter of each data portion to a consistent standardized format before merging. By transforming the format parameter of individual data portions, the system enables efficient merging of multiple portions without encountering format conflicts, thus resolving the contradiction between quantity and processing efficiency.
2Ease of operation
If a table of contents is generated for the merged file, then the ease of operation improves, but the device complexity increases
Solution Approach 1:
The system segments the merged file into distinct portions with identified cutoffs and generates a table of contents that lists these segments. This segmentation approach allows the system to manage complexity by organizing the merged file into manageable sections, improving ease of operation while keeping the implementation straightforward through structured division.
Solution Approach 2:
The table of contents acts as an intermediary structure between the merged file and the user. It provides a simplified interface that lists the distinct portions and their locations, making the merged file easier to operate and navigate without requiring the user to deal with the underlying complexity of merging multiple different data formats.
3Manufacturing precision
If data portions are conditioned to consistent formats, then the manufacturing precision improves, but the loss of time increases
Solution Approach 1:
The system performs format conditioning as a preliminary action before merging data portions. By preparing all data portions in advance with consistent formats, the system ensures high data format consistency (manufacturing precision) while the preliminary nature of the action allows for efficient batch processing, minimizing overall computational delay.
Data Source
AI summary
Embodiments are for generating a merged file and identifying distinct portions of the merged file to improve processing efficiency receive at least two data portions to be merged; determine data formats associated with each of the at least two data portions; condition the at least two data portions based on the determined data formats, thereby creating conditioned data portions having a consistent data format; identify cutoffs for each of the conditioned data portions; after identifying cutoffs for each of the conditioned data portions, add the conditioned data portions to one another, thereby creating a merged file having the consistent data format, the merged file configured for efficient use because of ease of consistent data format and identified cutoffs.