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International Journal of Aviation, Aeronautics, and Aerospace最新文献

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Accuracy Assessment of the eBee Using RTK and PPK Corrections Methods as a Function of Distance to a GNSS Base Station 基于RTK和PPK校正方法的eBee精度评估与GNSS基站距离的关系
Q4 ENGINEERING, AEROSPACE Pub Date : 2023-01-01 DOI: 10.58940/2374-6793.1819
Joseph Cerreta, David Thirtyacre, Peter Miller, Scott S Burgess, William J Austin
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引用次数: 1
Cabin crew members’ silence: A qualitative study with cabin attendants 空乘人员的沉默:一项针对空乘人员的定性研究
Q4 ENGINEERING, AEROSPACE Pub Date : 2023-01-01 DOI: 10.58940/2374-6793.1827
Seda Ceken, Pinar Unsal
procedures”
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引用次数: 0
Clinical Education Innovation Enabled by XR Space Medicine Technology XR空间医学技术助力临床教育创新
Q4 ENGINEERING, AEROSPACE Pub Date : 2023-01-01 DOI: 10.58940/2374-6793.1824
Ethan Waisberg, Joshua Ong, Phani Paladugu, Nasif Zaman, Sharif Amit Kamran, Andrew G. Lee, Alireza Tavakkoli
Head-mounted extended reality (XR) has emerged as a powerful tool in medical education for simulation of clinical and surgical situations. Another potentially powerful clinical tool of XR may be to help clinicians further understand disease from the patient’s perception. In our work to develop a training tool for astronauts undergoing interplanetary gravitational transitions, we identified a unique opportunity to also develop this emerging tool for clinicians specializing in vestibulo-ocular disease. By emulating patient perception of disease, this may increase understanding and clinical insight into clinical care in the future. This work is a component of a developing NASA-funded, head-mounted multimodal visual assessment framework to assess for subtle changes in astronaut vision. XR is a promising tool to help further understand patient perception of disease, and may one day serve as a useful countermeasure for both individuals on Earth and in space.
头戴式扩展现实(XR)已成为医学教育中模拟临床和手术情况的有力工具。XR的另一个潜在的强大临床工具可能是帮助临床医生从患者的感知中进一步了解疾病。在我们为经历星际引力转变的宇航员开发培训工具的工作中,我们发现了一个独特的机会,也可以为专门从事前庭眼疾病的临床医生开发这种新兴工具。通过模拟患者对疾病的感知,这可能会增加对未来临床护理的理解和临床洞察力。这项工作是nasa资助的一个开发中的头戴式多模态视觉评估框架的组成部分,用于评估宇航员视力的细微变化。XR是一种很有前途的工具,可以帮助进一步了解患者对疾病的感知,有一天可能会成为地球上和太空中个人的有用对策。
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引用次数: 0
Using the best - worst scale to assess the relative impact of these behaviors on other passengers on the same flight: The disruptive passenger behavior 使用最佳-最差量表来评估这些行为对同一航班上其他乘客的相对影响:破坏性乘客行为
Q4 ENGINEERING, AEROSPACE Pub Date : 2023-01-01 DOI: 10.58940/2374-6793.1831
Quynh Thi Nhu Phan, Vi Tran, Nhan Huu Huynh, Thao Phuong Huynh, Duc Nhan Ho
A method called the best-worst scaling method is proposed to overcome these problems by asking respondents to make tradeoffs among the variables being assessed. This paper raises issues in respect of supplementing and developing a block of disruptive behaviors exhibited by passengers during flights and assesses the impact of these behaviors on other passengers. To illustrate the proposed method and evaluate its performance, we surveyed 240 passengers, and data from 203 survey samples were analyzed. The data analysis results revealed three behaviors that were considered the most disruptive, including (1) Threatening and causing distress, (2) Harassment and disrupting public order, and (3) Creating unsanitary conditions. This can be considered a suitable explanation with the high safety requirements of the air transport service, and the context of high expectation of post-covid hygiene and epidemiology.
提出了一种称为最佳最差缩放法的方法,通过要求受访者在被评估的变量之间进行权衡来克服这些问题。本文提出了关于补充和发展乘客在飞行中表现出的破坏性行为块的问题,并评估这些行为对其他乘客的影响。为了说明所提出的方法并评估其性能,我们调查了240名乘客,并分析了203个调查样本的数据。数据分析结果显示,三种行为被认为是最具破坏性的,包括(1)威胁和造成痛苦,(2)骚扰和扰乱公共秩序,以及(3)创造不卫生的条件。考虑到航空运输服务的高安全要求,以及对covid - 19后卫生和流行病学的高期望,这可以被认为是一个合适的解释。
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引用次数: 0
Establishing Commercial Aviation Safety Privilege: Court Precedent versus Statute 确立商业航空安全特权:法院判例与法规
IF 0.8 Q4 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.58940/2374-6793.1697
J. Powell
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引用次数: 0
PACE CARGO: Ultra-fast Delivery on Earth –Potential of Using Suborbital Space Vehicles for the Transportation of Cargo PACE CARGO:地球上的超快速交付——使用亚轨道空间飞行器运输货物的潜力
IF 0.8 Q4 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.15394/ijaaa.2022.1671
Robert O. Walton, R. Goehlich
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引用次数: 1
Classifıcation of Survivor/Non-Survivor Passengers in Fatal Aviation Accidents: A Machine Learning Approach Classifıcation致命航空事故中的幸存者/非幸存者乘客:机器学习方法
IF 0.8 Q4 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.15394/ijaaa.2022.1672
Tuzun Tolga Inan
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引用次数: 0
How to Construct a Safety Management System (SMS) That Promotes Safety Culture in Your Organization 如何在您的组织中建立一个促进安全文化的安全管理体系
IF 0.8 Q4 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.15394/ijaaa.2022.1691
Tara Samuels
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引用次数: 0
Air passenger demand forecast through the use of Artificial Neural Network algorithms 利用人工神经网络算法对航空客运需求进行预测
IF 0.8 Q4 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.58940/2374-6793.1744
J. G. Muros Anguita, O. Díaz Olariaga
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引用次数: 0
Heat Generation of Aircraft Tires at Landing 飞机轮胎在着陆时产生的热量
IF 0.8 Q4 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.15394/ijaaa.2022.1680
Yu Li, Dr. Weiji Wang
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引用次数: 3
期刊
International Journal of Aviation, Aeronautics, and Aerospace
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