Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction
The availability of civil aircraft cockpit display interface is related to pilot's satisfaction as well as flight safety and efficiency, but current indicator system in this field lacks target-oriented focus. Firstly, in this paper, the flight mission, pilots' senses, pilots' cognitio...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
EDP Sciences
2024-12-01
|
| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2024/06/jnwpu2024426p1078/jnwpu2024426p1078.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825206556294119424 |
|---|---|
| author | CHEN Dengkai XIAO Yao XIAO Jianghao ZHOU Yao YANG Cong |
| author_facet | CHEN Dengkai XIAO Yao XIAO Jianghao ZHOU Yao YANG Cong |
| author_sort | CHEN Dengkai |
| collection | DOAJ |
| description | The availability of civil aircraft cockpit display interface is related to pilot's satisfaction as well as flight safety and efficiency, but current indicator system in this field lacks target-oriented focus. Firstly, in this paper, the flight mission, pilots' senses, pilots' cognition, and flight interaction dimensions are obtained by executive process interactive control model(EPIC), and extracted usability indicators from these dimensions. Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm is proposed based on hierarchical clustering-rough set information entropy(HC-CEBARKNC) which compared to K-means clustering and genetic algorithm. Finally, the support vector machine(SVM) classification model was employed to verify performance and reliability of both algorithms. The experimental result shows the HC-CEBARKNC algorithm proposed has better evaluation accuracy that contribute to practical indicators reduction and decision rules screening. |
| format | Article |
| id | doaj-art-40dee670f86d4a02b0cb50304a866f65 |
| institution | Kabale University |
| issn | 1000-2758 2609-7125 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj-art-40dee670f86d4a02b0cb50304a866f652025-02-07T08:23:13ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252024-12-014261078108810.1051/jnwpu/20244261078jnwpu2024426p1078Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reductionCHEN Dengkai0XIAO Yao1XIAO Jianghao2ZHOU Yao3YANG Cong4Key Laboratory of Industrial Design and Human-Machine Ergonomics for Ministry of Industry and Information Technology, Northwestern Polytechnical UniversityKey Laboratory of Industrial Design and Human-Machine Ergonomics for Ministry of Industry and Information Technology, Northwestern Polytechnical UniversityKey Laboratory of Industrial Design and Human-Machine Ergonomics for Ministry of Industry and Information Technology, Northwestern Polytechnical UniversityKey Laboratory of Industrial Design and Human-Machine Ergonomics for Ministry of Industry and Information Technology, Northwestern Polytechnical UniversityKey Laboratory of Industrial Design and Human-Machine Ergonomics for Ministry of Industry and Information Technology, Northwestern Polytechnical UniversityThe availability of civil aircraft cockpit display interface is related to pilot's satisfaction as well as flight safety and efficiency, but current indicator system in this field lacks target-oriented focus. Firstly, in this paper, the flight mission, pilots' senses, pilots' cognition, and flight interaction dimensions are obtained by executive process interactive control model(EPIC), and extracted usability indicators from these dimensions. Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm is proposed based on hierarchical clustering-rough set information entropy(HC-CEBARKNC) which compared to K-means clustering and genetic algorithm. Finally, the support vector machine(SVM) classification model was employed to verify performance and reliability of both algorithms. The experimental result shows the HC-CEBARKNC algorithm proposed has better evaluation accuracy that contribute to practical indicators reduction and decision rules screening.https://www.jnwpu.org/articles/jnwpu/full_html/2024/06/jnwpu2024426p1078/jnwpu2024426p1078.htmlcockpitinterface availabilityclustering reductionhc-cebarknc algorithmsvm |
| spellingShingle | CHEN Dengkai XIAO Yao XIAO Jianghao ZHOU Yao YANG Cong Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction Xibei Gongye Daxue Xuebao cockpit interface availability clustering reduction hc-cebarknc algorithm svm |
| title | Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction |
| title_full | Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction |
| title_fullStr | Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction |
| title_full_unstemmed | Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction |
| title_short | Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction |
| title_sort | research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction |
| topic | cockpit interface availability clustering reduction hc-cebarknc algorithm svm |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2024/06/jnwpu2024426p1078/jnwpu2024426p1078.html |
| work_keys_str_mv | AT chendengkai researchoncivilaircraftcockpitdisplayinterfaceavailabilityconsideringmultidimensionalindicatorsclusteringandreduction AT xiaoyao researchoncivilaircraftcockpitdisplayinterfaceavailabilityconsideringmultidimensionalindicatorsclusteringandreduction AT xiaojianghao researchoncivilaircraftcockpitdisplayinterfaceavailabilityconsideringmultidimensionalindicatorsclusteringandreduction AT zhouyao researchoncivilaircraftcockpitdisplayinterfaceavailabilityconsideringmultidimensionalindicatorsclusteringandreduction AT yangcong researchoncivilaircraftcockpitdisplayinterfaceavailabilityconsideringmultidimensionalindicatorsclusteringandreduction |