International Emergency Nursing, Journal Year: 2023, Volume and Issue: 69, P. 101284 - 101284
Published: May 31, 2023
Language: Английский
Defence Technology, Journal Year: 2022, Volume and Issue: 28, P. 195 - 221
Published: Dec. 20, 2022
With the development of ordnance technology, survival and safety individual combatants in high-tech warfare are under serious threat, Personal Protective Equipment (PPE), as an important guarantee to reduce casualties maintain military combat effectiveness, is widely developed. This paper systematically reviewed various PPE based on through literature research comprehensive discussion, introduced detail latest application progress terms material technology from three aspects: integrated protection system, traditional equipment, intelligent respectively, discussed depth functional improvement optimization status brought by advanced for PPE, focusing achievements equipment application. Finally, problems technical bottlenecks were analyzed summarized, trend pointed out. The results review will provide a forward-looking reference current guidance design technological innovation future battlefield.
Language: Английский
Citations
60
Safety Science, Journal Year: 2023, Volume and Issue: 168, P. 106295 - 106295
Published: Sept. 2, 2023
Language: Английский
Citations
28
International Journal of Industrial Ergonomics, Journal Year: 2024, Volume and Issue: 100, P. 103552 - 103552
Published: Jan. 18, 2024
Language: Английский
Citations
13
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 5132 - 5150
Published: Jan. 1, 2024
In the aviation industry, safety remains vital, often compromised by pilot errors attributed to factors such as workload, fatigue, stress, and emotional disturbances. To address these challenges, recent research has increasingly leveraged psychophysiological data machine learning techniques, offering potential enhance understanding behavior. This systematic literature review rigorously follows a widely accepted methodology, scrutinizing 80 peer-reviewed studies out of 3352 from five key electronic databases. The paper focuses on behavioral aspects, types, preprocessing models, performance metrics used in existing studies. It reveals that majority disproportionately concentrates workload leaving aspects like responses attention dynamics less explored. Machine models tree-based support vector machines are most commonly employed, but utilization advanced techniques deep limited. Traditional dominate landscape, urging need for methods. Data imbalance its impact model is identified critical, under-researched area. uncovers significant methodological gaps, including unexplored influence efficacy, lack diversification collection environments, limited focus explainability. concludes advocating targeted future thereby promoting both innovation more comprehensive
Language: Английский
Citations
7
Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102784 - 102784
Published: Aug. 24, 2024
Language: Английский
Citations
7
Entropy, Journal Year: 2023, Volume and Issue: 25(7), P. 1035 - 1035
Published: July 10, 2023
Elevated mental workload (MWL) experienced by pilots can result in increased reaction times or incorrect actions, potentially compromising flight safety. This study aims to develop a functional system assist administrators identifying and detecting pilots' real-time MWL evaluate its effectiveness using designed airfield traffic pattern tasks within realistic simulator. The perceived various situations was assessed labeled NASA Task Load Index (NASA-TLX) scores. Physiological features were then extracted fast Fourier transformation with 2-s sliding time windows. Feature selection conducted comparing the results of Kruskal-Wallis (K-W) test Sequential Forward Floating Selection (SFFS). proved that optimal input all PSD features. Moreover, analyzed effects electroencephalography (EEG) from distinct brain regions changes across different levels further assess proposed system's performance. A 10-fold cross-validation performed on six classifiers, accuracy 87.57% attained multi-class K-Nearest Neighbor (KNN) classifier for classifying levels. findings indicate wireless headset-based is reliable feasible. Consequently, numerous EEG device-based systems be developed application diverse real-driving scenarios. Additionally, current contributes future research actual conditions.
Language: Английский
Citations
14
Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102656 - 102656
Published: June 20, 2024
Language: Английский
Citations
6
Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102683 - 102683
Published: July 10, 2024
Language: Английский
Citations
6
International Journal of Mining Reclamation and Environment, Journal Year: 2024, Volume and Issue: 38(10), P. 810 - 832
Published: May 6, 2024
The updated abstract, shortened to about 100 words, is shown below: This study built truck productivity prediction models incorporating real-site weather conditions at varying temporal resolutions. best were combined with SHapley Additive exPlanations offer quantitative and qualitative analysis for input variables' effect on the model outputs. results showed that mining engineers can make more accurate predictions of weekly resolution compared other three most influential parameters haul distance, empty speed, ambient temperature. Extreme weather, such as strong wind heavy precipitation, extreme relative humidity, had a certain truck-shovel allocation. Meanwhile, unified graphical user interface was developed predict mine productivity.
Language: Английский
Citations
5
Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: April 16, 2024
Language: Английский
Citations
4