18491048. METHOD AND APPARATUS FOR PROCESSING PREDICTIVE SPATIOTEMPORAL QUERY BASED ON SYNTHETIC DATA simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)

METHOD AND APPARATUS FOR PROCESSING PREDICTIVE SPATIOTEMPORAL QUERY BASED ON SYNTHETIC DATA

Organization Name

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor(s)

Tae-Whi Lee of Daejeon (KR)

Sung-Soo Kim of Daejeon (KR)

Choon-Seo Park of Daejeon (KR)

Ki-Hyuk Nam of Yongin-si (KR)

Taek-Yong Nam of Daejeon (KR)

METHOD AND APPARATUS FOR PROCESSING PREDICTIVE SPATIOTEMPORAL QUERY BASED ON SYNTHETIC DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 18491048 titled 'METHOD AND APPARATUS FOR PROCESSING PREDICTIVE SPATIOTEMPORAL QUERY BASED ON SYNTHETIC DATA

Simplified Explanation

The patent application describes an apparatus that processes predictive spatiotemporal queries using synthetic data. It includes units for query processing, machine learning, and data storage.

• The apparatus analyzes user queries and generates processing results.
• It trains machine learning models to create synthetic spatiotemporal data.
• It stores both raw and synthetic data in a structured format.

Key Features and Innovation

• Processing predictive spatiotemporal queries with synthetic data.
• Training machine learning models to generate synthetic data.
• Storing raw and synthetic spatiotemporal data in a structured manner.

Potential Applications

The technology can be applied in various fields such as predictive analytics, urban planning, and environmental monitoring.

Problems Solved

The technology addresses the need for accurate and efficient processing of spatiotemporal data for predictive purposes.

Benefits

• Improved accuracy in predictive spatiotemporal analysis.
• Enhanced efficiency in processing user queries.
• Facilitates the generation of synthetic data for training machine learning models.

Commercial Applications

• "Enhanced Predictive Spatiotemporal Query Processing Apparatus for Urban Planning and Environmental Monitoring"
• This technology can be utilized in smart city initiatives, weather forecasting, and traffic management systems.

Prior Art

There is no specific information provided on prior art related to this technology.

Frequently Updated Research

There is ongoing research in the field of predictive analytics and machine learning for spatiotemporal data processing.

Questions about Predictive Spatiotemporal Query Processing

Question 1

How does the apparatus generate synthetic spatiotemporal data for query processing?

The apparatus uses machine learning models to generate synthetic spatiotemporal data based on the raw data stored in the data storage unit.

Question 2

What are the potential implications of using synthetic data in predictive spatiotemporal analysis?

Using synthetic data can enhance the accuracy and efficiency of predictive spatiotemporal analysis by providing a larger and more diverse dataset for training machine learning models.

Original Abstract Submitted

Disclosed herein is an apparatus for processing a predictive spatiotemporal query based on synthetic data. The apparatus includes a query-processing unit for analyzing a predictive spatiotemporal query of a user and returning a processing result, a machine-learning unit for training a machine-learning model in response to a request from the query-processing unit and generating synthetic spatiotemporal data based on the machine-learning model, and a data storage unit for storing raw spatiotemporal data and the generated synthetic spatiotemporal data, and the raw spatiotemporal data may be stored in the form of a table including an identifier column and a position column.