<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Because the current computer sensor data positioning analysis has positioning difficulties and false positioning problems, we use the Lagrangian multiplier method of the interactive direction to disassemble the computer sensor sound source. Through this algorithm, the information fusion of computer sensor nodes is realized. After using Lagrangian mathematical equations, these error correction measurements have achieved better target positioning results. Theoretical analysis and experimental results show that the algorithm improves the speed of computer sensor data association. To a certain extent, the correlation accuracy is improved.</p>
</abstract>

Because the current computer sensor data positioning analysis has positioning difficulties and false positioning problems, we use the Lagrangian multiplier method of the interactive direction to disassemble the computer sensor sound source. Through this algorithm, the information fusion of computer sensor nodes is realized. After using Lagrangian mathematical equations, these error correction measurements have achieved better target positioning results. Theoretical analysis and experimental results show that the algorithm improves the speed of computer sensor data association. To a certain extent, the correlation accuracy is improved.

The Optimal Application of Lagrangian Mathematical Equations in Computer Data Analysis

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Because the current computer sensor data positioning analysis has positioning difficulties and false positioning problems, we use the Lagrangian multiplier...

The Optimal Application of Lagrangian Mathematical Equations in Computer Data Analysis

Publié en ligne: 15 juil. 2022

Pages: 723 - 730

Reçu: 16 févr. 2022

Accepté: 15 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0059

Mots clés
Sensor data, Computer sensor, Lagrangian mathematical equations, Data interconnection, Multi-target tracking

© 2023 Guo Jia et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

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The Optimal Application of Lagrangian Mathematical Equations in Computer Data Analysis

Publié en ligne: 15 juil. 2022

Pages: 723 - 730

Reçu: 16 févr. 2022

Accepté: 15 avr. 2022

DOI: https://doi.org/10.2478/amns.2022.2.0059

Mots clésSensor data, Computer sensor, Lagrangian mathematical equations, Data interconnection, Multi-target tracking

© 2023 Guo Jia et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Figure 3

Mots clés
Sensor data, Computer sensor, Lagrangian mathematical equations, Data interconnection, Multi-target tracking