Sequential Data Classification Indicator Reset and Thread Management
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Solution Overview
Problem
Existing information processing systems face challenges in accurately determining intervals of sequential data belonging to a detection-target class due to classification indicators leaning towards specific elements, which can lead to missed detections and inadequate interval determination.
Innovation Solution
An information processing apparatus and method that includes an acquisition unit for sequential data, a calculation unit for classification indicators, and a processing unit that executes either a first process of resetting the classification indicator to a predetermined value or a second process of establishing a new thread for calculation, allowing for precise determination of intervals containing detection-target class elements based on the classification indicator.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the classification indicator is continuously updated based on sequential data elements, then the detection coverage is improved, but the classification indicator leans towards specific elements causing missed detections
Solution Approach 1:
The patent divides the continuous classification indicator calculation into separate threads. When a predetermined condition is met (such as the indicator leaning too much towards specific elements), a new thread is established to recalculate the classification indicator from scratch, preventing the accumulation of bias from previous calculations
Solution Approach 2:
The system periodically resets or restarts the classification indicator calculation based on predetermined conditions. This periodic intervention prevents the indicator from continuously leaning towards specific elements, ensuring balanced and accurate classification over time
2Measurement precision
If the classification indicator is reset to a predetermined value, then the bias towards specific elements is eliminated, but the processing complexity increases due to thread management
Solution Approach 1:
The system automatically determines when to reset or restart classification based on predetermined conditions without requiring external intervention. The processing unit autonomously manages thread creation and resetting based on the state of the classification indicator, simplifying the overall control complexity
3Measurement precision
If a new thread is established for calculation, then the classification accuracy is improved by avoiding bias, but the processing time increases
Solution Approach 1:
Instead of continuously creating new threads, the system only establishes a new thread when a predetermined condition is satisfied (such as when bias is detected). This partial action approach maintains accuracy by resetting only when necessary, rather than constantly, thus reducing unnecessary processing time
Data Source
AI summary
An information processing apparatus (10) includes: an acquisition unit (50) configured to sequentially acquire a plurality of elements included in sequential data; a calculation unit (100) configured to calculate, based on at least two elements of the plurality of elements, a classification indicator indicating which one of a plurality of classes the sequential data belongs to; a processing unit (200) configured to execute either a first process of resetting the classification indicator to a predetermined value, or a second process of establishing a new thread to calculate the classification indicator; and a determination unit (300) configured to determine an interval including an element of a detection-target class, based on the classification indicator. According to such an information processing apparatus, an interval including elements of the detection-target class can be appropriately determined.