18576077. COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAM, AND DEVICE FOR GENERATING A DATA-BASED MODEL COPY IN A SENSOR simplified abstract (Robert Bosch GmbH)
COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAM, AND DEVICE FOR GENERATING A DATA-BASED MODEL COPY IN A SENSOR
Organization Name
Inventor(s)
Armin Runge of Pittsburgh PA (US)
Christian Weiss of Leonberg (DE)
Gor Hakobyan of Schoenaich (DE)
Stefan Leidich of Rutesheim (DE)
COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAM, AND DEVICE FOR GENERATING A DATA-BASED MODEL COPY IN A SENSOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18576077 titled 'COMPUTER-IMPLEMENTED METHOD, COMPUTER PROGRAM, AND DEVICE FOR GENERATING A DATA-BASED MODEL COPY IN A SENSOR
Simplified Explanation: The patent application describes a method for generating a data-based model copy using raw data from sensors and models to predict results.
Key Features and Innovation:
- Transformation of raw data from one sensor into data representing another sensor
- Comparison of results predicted by models based on raw data from different sensors
- Training of models based on training data points when results differ
Potential Applications: This technology can be applied in various industries such as:
- Healthcare for medical diagnostics
- Automotive for predictive maintenance
- Manufacturing for quality control
Problems Solved:
- Efficient generation of data-based model copies
- Improved accuracy in predicting results from sensor data
- Streamlining of model training processes
Benefits:
- Enhanced predictive capabilities
- Cost savings through optimized model training
- Increased efficiency in data analysis
Commercial Applications: Title: Data-Based Model Copy Generation Technology for Predictive Analysis This technology can be utilized in commercial applications such as:
- Predictive maintenance services
- Data analytics software development
- Sensor technology advancements
Prior Art: Readers can explore prior art related to this technology in the fields of sensor data analysis, predictive modeling, and machine learning algorithms.
Frequently Updated Research: Stay updated on the latest research in sensor data processing, predictive analytics, and model training techniques relevant to this technology.
Questions about Data-Based Model Copy Generation Technology for Predictive Analysis: 1. How does this technology improve predictive modeling accuracy? 2. What are the potential challenges in implementing this technology in real-world applications?
Original Abstract Submitted
A device, a computer program, a computer-implemented method for generating a data-based model copy and a first sensor. The method includes: transforming specified raw data from a first sensor into data representing raw data of a second sensor; determining a first result with the specified raw data and with a first model designed to predict results based on raw data from the first sensor; determining a second result with the data representing the raw data of the second sensor and with a specified second model designed to predict results based on raw data from the second sensor; determining whether or not the first and second results differ. The method includes the following steps when the first result differs from the second result: determining a training data point including the specified raw data and the second result; training the first model with training data including the training data point.
