Nec corporation (20240126952). ARITHMETIC OPERATION SYSTEM, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING TRAINING PROGRAM simplified abstract
ARITHMETIC OPERATION SYSTEM, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING TRAINING PROGRAM
Organization Name
Inventor(s)
Tsubasa Nakamura of Tokyo (JP)
ARITHMETIC OPERATION SYSTEM, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING TRAINING PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126952 titled 'ARITHMETIC OPERATION SYSTEM, TRAINING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING TRAINING PROGRAM
Simplified Explanation
The abstract describes a patent application for an arithmetic operation system that involves calculating the difference between a teaching signal and an estimated signal in a spatial distribution context.
- An evaluation unit calculates the difference amount between a teaching signal and an estimated signal.
- The teaching signal is a spatial distribution signal observed with respect to a spatial structure on a path of an emission wave in a target space.
- The estimated signal is a signal formed based on estimated density associated with each sample point acquired from a spatial estimation model.
- A sampling unit inputs information about the position of each sample point on the path to the spatial estimation model.
- An updating unit updates the spatial estimation model based on the difference amount.
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- Potential Applications
This technology could be applied in various fields such as medical imaging, environmental monitoring, and quality control in manufacturing processes.
- Problems Solved
This technology helps in accurately estimating spatial distributions and comparing them with teaching signals, leading to improved decision-making processes and analysis.
- Benefits
The system provides a more precise and efficient way of analyzing spatial data, leading to better insights and outcomes in various applications.
- Potential Commercial Applications
Potential commercial applications include software development for spatial analysis, integration into medical imaging devices, and implementation in quality control systems for manufacturing.
- Possible Prior Art
One possible prior art could be the use of similar spatial estimation models in fields such as remote sensing or geospatial analysis.
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- Unanswered Questions
- How does this technology compare to existing spatial estimation models?
This article does not provide a direct comparison with existing spatial estimation models in terms of accuracy, efficiency, or computational complexity.
- What are the limitations of this arithmetic operation system in real-world applications?
The article does not address potential limitations or challenges that may arise when implementing this technology in practical scenarios.
Original Abstract Submitted
in an arithmetic operation system, an evaluation unit calculates a difference amount between a teaching signal and an estimated signal. the teaching signal is a spatial distribution signal observed with respect to a spatial structure on a path of an emission wave in a target space (i.e., a teaching space) by using the emission wave. in addition, the estimated signal is a signal for comparing with the teaching signal, and is an estimated spatial distribution signal. the estimated signal is formed based on estimated density associated to each sample point acquired from a spatial estimation model, by a sampling unit inputting information about a position of each of a plurality of sample points on the path to the spatial estimation model. an updating unit updates the spatial estimation model, based on the difference amount.
