Artificial Intelligence Recommendation System Model for Military Cabin Space Environment Design

This paper proposes an artificial intelligence-based recommendation model for military cabin space environment design schemes to satisfy military cabin operators with a comfortable and efficient working environment and improve the safety and health of the operators. Each key design feature is used to extract the interactive relationship between the operator and the cabin design. Through the neural network, the operator's psychological comfort is interactively matched with the cabin space environment factors. As result, the interactive artificial intelligence cabin space environment design scheme recommendation system is recommended and established. The results showed that the method can optimize the environmental design of military cabins, alleviate some of the design complexities associated with military cabins, and improve the physical and mental health of operators. Additionally, by using an AI-based recommendation system for cabin space environment design, engineers can reduce the time and resources required to design military cabins, resulting in faster turnaround times and lower costs.

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-09-21
DOI
https://doi.org/10.37934/araset.52.2.130138
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00

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Artificial Intelligence Recommendation System Model for Military Cabin Space Environment Design

Roznim Mohamad Rasli, Wong Yoke Seng, Min Yan, Lee Hoi Yeh et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Simulation and Modeling Applications
article

Artificial Intelligence Recommendation System Model for Military Cabin Space Environment Design

Roznim Mohamad Rasli, Wong Yoke Seng, Min Yan, Lee Hoi Yeh, Zhiqiang Song, Sheng Su
article en

Abstract

This paper proposes an artificial intelligence-based recommendation model for military cabin space environment design schemes to satisfy military cabin operators with a comfortable and efficient working environment and improve the safety and health of the operators. Each key design feature is used to extract the interactive relationship between the operator and the cabin design. Through the neural network, the operator's psychological comfort is interactively matched with the cabin space environment factors. As result, the interactive artificial intelligence cabin space environment design scheme recommendation system is recommended and established. The results showed that the method can optimize the environmental design of military cabins, alleviate some of the design complexities associated with military cabins, and improve the physical and mental health of operators. Additionally, by using an AI-based recommendation system for cabin space environment design, engineers can reduce the time and resources required to design military cabins, resulting in faster turnaround times and lower costs.

Journal of Advanced Research in Applied Sciences and Engineering Technology
Sultan Idris Education University (MY), Xi'an Technological University (CN)
Ministry of Education of the People's Republic of China
Openalex Percentile: Top 82%
Simulation and Modeling Applications
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