Adjusting Estimated Settings for MFP Device Compatibility
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Solution Overview
Problem
Conventional techniques for using trained models in multifunctional peripherals (MFPs) to estimate user operations do not account for device-specific differences, leading to inconsistent application settings across various MFPs, even when used by the same user.
Innovation Solution
A system that generates trained models based on device-specific data, includes an obtaining unit for device information, a determination unit to assess settable settings, and an adjustment unit to modify estimated settings to ensure compatibility with the target device, thereby displaying adjusted settings for effective device processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a trained model is used to estimate application settings based on user operation logs, then the convenience and automation of MFP operation is improved, but the applicability of the estimated settings across different MFP devices deteriorates due to device-specific differences
Solution Approach 1:
The patent segments the setting estimation process into two independent components: a device-independent trained model that provides baseline settings based on user behavior patterns, and a device-specific rule set that adjusts these settings according to individual MFP capabilities. This segmentation allows the system to maintain automation while adapting to device differences.
Solution Approach 2:
The patent applies local quality by allowing different adjustment rules to be applied to different MFP devices based on their specific characteristics. Each device can have customized adjustment rules that reflect its unique capabilities, ensuring that the estimated settings are locally optimized for each device while maintaining overall system automation.
2Loss of time
If estimated setting values are directly applied without adjustment, then the speed of configuration is improved, but the reliability of device processing deteriorates when the estimated settings are incompatible with the target device
Solution Approach 1:
The patent implements preliminary action by pre-defining adjustment rules for each MFP device type before the actual setting estimation occurs. These rules are prepared in advance based on device specifications, so when estimation results are generated, they can be quickly adjusted without real-time computation, maintaining fast configuration while ensuring reliability.
Solution Approach 2:
The patent uses feedback by comparing the estimated settings against device-specific rules and adjusting the settings based on this comparison. The system receives feedback from the rule evaluation process and automatically modifies the estimated values to ensure compatibility with the target device capabilities, thereby maintaining both speed and reliability.
Data Source
AI summary
A system includes a determination unit configured to determine whether an estimated setting value is settable on a device based on device information obtained by the obtaining unit, and an adjustment unit configured to adjust, if the determination unit determines that the estimated setting value is unable to be set, the estimated setting value. The device used by the user displays the setting value adjusted by the adjustment unit as a setting value related to device processing.