Toyota jidosha kabushiki kaisha (20240104397). TIME-SERIES DATA PROCESSING METHOD AND PROCESSING DEVICE simplified abstract
Contents
- 1 TIME-SERIES DATA PROCESSING METHOD AND PROCESSING DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TIME-SERIES DATA PROCESSING METHOD AND PROCESSING DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
TIME-SERIES DATA PROCESSING METHOD AND PROCESSING DEVICE
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Kazuyuki Sasaki of Nisshin-shi (JP)
TIME-SERIES DATA PROCESSING METHOD AND PROCESSING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104397 titled 'TIME-SERIES DATA PROCESSING METHOD AND PROCESSING DEVICE
Simplified Explanation
The patent application describes a processing device for time-series data that reduces the data amount by performing compression processing on quantized time-series data. The compression processing unit calculates a statistical index, excludes data corresponding to an exclusion condition as missing values, compresses the original data excluding missing values, and stores the compressed data and statistical index in a storage unit.
- Compression processing unit reduces data amount of time-series data
- Statistical index calculated for original data
- Exclusion of data corresponding to exclusion condition as missing values
- Compression processing performed on original data excluding missing values
- Compressed data stored in a storage unit with statistical index
Potential Applications
This technology can be applied in various fields such as data storage, IoT devices, sensor networks, and financial data analysis.
Problems Solved
- Reducing the data amount of time-series data - Efficient storage of compressed data - Handling missing values in time-series data
Benefits
- Improved data storage efficiency - Enhanced data processing speed - Better utilization of storage resources
Potential Commercial Applications
Optimized data storage solutions for businesses Efficient data compression tools for IoT devices Advanced financial data analysis software
Possible Prior Art
One possible prior art could be the use of traditional data compression algorithms for reducing the data amount of time-series data.
Unanswered Questions
How does the compression processing unit handle different types of time-series data formats?
The patent application does not provide specific details on how the compression processing unit adapts to various time-series data formats.
What is the impact of the exclusion condition on the accuracy of the compressed data?
The application does not address the potential impact of excluding data based on the exclusion condition on the accuracy of the compressed data.
Original Abstract Submitted
a processing device for time-series data for reducing a data amount of time-series data, comprising: a compression processing unit that performs predetermined compression processing on original data of quantized time-series data, reduces the data amount, and converts the data into data for storage in a form that can be stored in a storage unit, wherein the compression processing unit calculates a first statistical index related to the original data, excludes data corresponding to an exclusion condition from the original data as a missing value, performs compression processing on the original data excluding a missing value, generates compressed data in which the data amount is reduced, and stores the compressed data and the first statistical index in the storage unit as data for storage.
