Data Conversion Layer for Processing Non-Standard Input Formats
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Devices compliant with specific standards, such as FeliCa, are unable to process non-standard compliant data like QR codes, text data, or bar codes, limiting their ability to handle diverse data types and use various services.
Innovation Solution
An information processing apparatus with a data acquisition section, a data conversion section that converts non-standard compliant data into standard compliant data, and a control section for processing, enabling the handling of non-standard compliant data by converting it into standard compliant format, including encryption and decryption processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a device is designed to comply with a specific standard (e.g., FeliCa), then it can reliably process standard-compliant data, but it cannot process non-standard compliant data (e.g., QR codes, text data, bar codes)
Solution Approach 1:
The patent introduces a data conversion section as an intermediary component between the data acquisition section and the control section. This conversion section transforms non-standard compliant data into standard compliant data format, allowing the control section to process diverse data types while maintaining standard compliance. The intermediary converter enables adaptability without compromising the reliability of standard-compliant processing.
Solution Approach 2:
The patent changes the parameter format of incoming data by converting non-standard data formats into standard compliant formats. The data conversion section modifies data parameters (encoding, structure, format) to match standard requirements, enabling the device to handle various data types while maintaining standard compliance for reliable processing.
2Adaptability or versatility
If a device only processes standard compliant data, then processing reliability is maintained, but functionality and usability across different services are limited
Solution Approach 1:
The data conversion section serves as a mediator that handles the complexity of multiple data formats. Instead of making the entire device complex to handle various services directly, the intermediary converter manages format transformations, allowing the core processing sections to remain relatively simple while achieving broad service compatibility.
Solution Approach 2:
The patent implements multi-functionality by enabling the device to process multiple data types (QR codes, text data, bar codes, and other standard compliant data) through a unified architecture. The data conversion section provides universal conversion capability, allowing a single device to serve multiple services and applications without requiring separate specialized hardware for each data type.
3Productivity
If a device is specialized for particular standard compliant data processing, then processing efficiency is high, but flexibility to handle general data (text, bar codes, QR codes) is reduced
Solution Approach 1:
The patent segments the data processing function into distinct sections: a data acquisition section, a data conversion section, and a control section. This segmentation allows the control section to maintain high processing efficiency for standard compliant data while the conversion section handles the flexibility of adapting various data formats. Each section has a specialized function, maintaining productivity while enabling versatility.
Solution Approach 2:
The data conversion section acts as an intermediary that preserves processing efficiency by handling format conversions in a dedicated module. The control section can process data efficiently at high speed since it only needs to handle standard compliant formats, while the intermediary converter manages the flexibility of accepting various input formats, thus maintaining both productivity and adaptability.
Data Source
AI summary
An information processing apparatus includes: a data acquisition section inputting data; a data conversion section performing data conversion processing on the data input through the data acquisition section; and a control section performing data processing using the data converted by the conversion processing by the data conversion section, wherein when non-standard compliant data other than standard compliant data capable of being subjected to data processing by the control section is input from the data acquisition section, the data conversion section performs conversion processing of the non-standard compliant data into standard compliant data.