Artificial Intelligence Recommendation System Model for Military Cabin Space Environment Design

Authors

  • Song Zhiqiang Faculty Computing and Meta-Technology, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia
  • Wong Yoke Seng Faculty Computing and Meta-Technology, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia
  • Roznim Mohamad Rasli Faculty Computing and Meta-Technology, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia
  • Lee Hoi Yeh Faculty of Arts, Sustainablity and Creative Industries, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia
  • Su Sheng School of Art and Media, Xi’an Technological University, Xi’an, Shaanxi, China
  • Yan Min School of Mechatronic Engineering, Xi’an Technological University, Xi’an, Shaanxi, China

DOI:

https://doi.org/10.37934/araset.52.2.130138

Keywords:

Military cabin, Artificial Intelligence, Recommendation System Model

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.

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Author Biographies

Song Zhiqiang, Faculty Computing and Meta-Technology, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia

462641869@qq.com

Wong Yoke Seng, Faculty Computing and Meta-Technology, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia

yswong@meta.upsi.edu.my

Roznim Mohamad Rasli, Faculty Computing and Meta-Technology, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia

roznim@meta.upsi.edu.my

Lee Hoi Yeh, Faculty of Arts, Sustainablity and Creative Industries, Sultan Idris Education University, 35900 Tanjong Malim, Perak Darul Ridzuan, Malaysia

leehoiyeh@fskik.upsi.edu.my

Su Sheng, School of Art and Media, Xi’an Technological University, Xi’an, Shaanxi, China

379084426@qq.com

Yan Min, School of Mechatronic Engineering, Xi’an Technological University, Xi’an, Shaanxi, China

1150351989@qq.com

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Published

2024-09-21

How to Cite

Song Zhiqiang, Wong Yoke Seng, Roznim Mohamad Rasli, Lee Hoi Yeh, Su Sheng, & Yan Min. (2024). Artificial Intelligence Recommendation System Model for Military Cabin Space Environment Design . Journal of Advanced Research in Applied Sciences and Engineering Technology, 52(2), 130–138. https://doi.org/10.37934/araset.52.2.130138

Issue

Section

Articles