Defect Data Visualization in Information Processing Systems
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Solution Overview
Problem
Existing information processing systems face challenges in presenting simulation or experimental results in a way that allows users to easily examine defect data, which is crucial for identifying and addressing system failures.
Innovation Solution
An information processing system comprising an acquisition unit to gather simulation or experimental data, an extraction unit to identify defect data, a classification unit to group defect data based on feature calculations, and a presentation unit to visualize representative data for user examination, facilitating efficient analysis of defect data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all defect data pieces are presented to users for examination, then users can comprehensively analyze all defects, but the data volume becomes too large for efficient examination
Solution Approach 1:
The patent extracts representative data from each cluster of defect data, separating the essential information from the redundant data. The extraction unit identifies and extracts one or more representative defect data pieces from each cluster, which are then presented to users instead of all defect data, thereby reducing data volume while maintaining comprehensive analysis capability.
Solution Approach 2:
The patent segments the large set of defect data into multiple clusters based on similarity. The classification unit divides defect data pieces into multiple clusters according to their feature data similarity, organizing the data into manageable groups. This segmentation allows users to examine representative data from each cluster rather than processing all individual defect data pieces.
2Productivity
If representative data is extracted and presented, then data examination efficiency improves, but the risk of overlooking critical defects may increase
Solution Approach 1:
The patent implements a feedback mechanism where users can provide input about the presented representative data. The presentation unit presents visualized representative data to the user, and the system can receive user feedback to adjust or refine the selection of representative data, ensuring that critical defects are not overlooked while maintaining examination efficiency.
Solution Approach 2:
The patent performs preliminary classification and extraction of representative data before presentation. The classification unit pre-processes the defect data by clustering similar cases, and the extraction unit pre-identifies representative pieces from each cluster. This preliminary action ensures that the most relevant defect information is prepared in advance for efficient user examination.
Data Source
AI summary
An information processing system, an information processing method, and a program that present simulation results so that users can easily examine defect data are provided. An information processing device includes an acquisition unit configured to acquire a plurality of simulation data pieces corresponding to a plurality of simulation conditions, respectively, or a plurality of experimental data pieces corresponding to a plurality of experimental conditions, respectively, a data extraction unit configured to extract a plurality of defect data pieces from the plurality of simulation data pieces or the plurality of experimental data pieces, a classification unit configured to classify the plurality of defect data pieces into a plurality of groups based on feature data calculated from each of the plurality of defect data pieces, and a presentation unit configured to visualize representative data extracted from each group and present the visualized representative data to the user.