Image Forming Apparatus Keyword Sticky Note Classification
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Solution Overview
Problem
Existing image forming apparatuses fail to systematically classify and manage printed documents, leading to disorganization and inefficient filing due to the manual and error-prone process of using sticky notes, which do not effectively convey the correlation between documents of different print jobs.
Innovation Solution
An image forming apparatus that utilizes a correspondence table linking sticky note attributes with keywords extracted from documents, automatically determining sticky note attributes and positions to assist in the systematic filing of printed sheets based on their correlation, using a hardware processor to extract keywords and match them with the correspondence table for accurate classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual sticky note attachment is used for document classification, then documents can be classified by users, but the process is troublesome and error-prone leading to disorganization
Solution Approach 1:
The image forming apparatus automatically performs document classification by extracting keywords from printed documents and autonomously determining sticky note attributes, eliminating the need for manual user intervention in the classification process while ensuring consistent and reliable classification results
Solution Approach 2:
The manual mechanical process of attaching sticky notes is replaced by an automated system that uses keyword extraction technology and correspondence tables to automatically determine classification attributes, substituting human manual operations with automated information processing
2Extent of automation
If sticky note attributes change for each print job, then classification is performed automatically, but the correlation between documents of different jobs cannot be expressed
Solution Approach 1:
A correspondence table is pre-established that links keywords to specific sticky note attributes, enabling the system to automatically determine appropriate attributes for any document by matching its keywords against the pre-defined table, thus maintaining both automation and correlation consistency
Solution Approach 2:
Instead of changing sticky note attributes randomly for each job, the system changes attributes systematically based on keyword matching against the correspondence table, ensuring that documents with similar topics receive consistent attributes while maintaining automated classification
3Adaptability or versatility
If users determine classification rules manually, then customization is possible, but the work is troublesome and time-consuming
Solution Approach 1:
The correspondence table mapping keywords to sticky note attributes is created in advance, allowing the system to automatically apply appropriate classification rules without requiring users to determine them manually for each document, thus reducing time consumption while maintaining adaptability
Solution Approach 2:
The correspondence table serves as a universal reference that can be applied to any document regardless of its specific topic, providing a versatile classification mechanism that eliminates the need for users to create custom rules for each case while still accommodating diverse document types
Data Source
AI summary
An image forming apparatus that assists classification of printed sheets of documents of print jobs includes: a correspondence table showing correspondence between sticky note attributes and keywords; and a hardware processor. The attributes represent appearance features of sticky notes to be attached to edges of the sheets so as to protrude from the edges. The keywords are extracted from the documents and denote topics of the documents. In response to execution request of a new print job, the hardware processor extracts a keyword from a document of the new job, judges whether the extracted keyword partially matches any keyword in the correspondence table, and when judging positively, creates a new sticky note attribute partially having an appearance feature represented by the sticky note attribute corresponding to the partially matching keyword in the correspondence table, and adds the new sticky note attribute to the correspondence table together with the extracted keyword.