SoS Architecture Models Transformation for Mission Simulation in Aircraft Top-Level Demonstration

AbstractThe aim of this article is to show the results of the lichenometrical and Schmidt hammer measurements performed in 2015 during the AMADEE-15 Mars Mission Simulation in the Ötztal Alps in order to test the capabilities of analogue astronauts and collect information on the geomorphic history of the study area since the Little Ice Age (LIA). The results obtained differ significantly from our expectations, which we attribute to differences in the field experience of participants and the astronauts’ technical limitations in terms of mobility. However, the experiments proved that these methods are within the range of the astronauts’ capabilities. Environmental factors, such as i) varied petrography, ii) varied number of thalli in test polygons, and iii) differences in topoclimatic conditions between the LIA moraine and the glacier front, further inhibited simple interpretation. The LIA maximum of the Kaunertal glacier occurred in AD 1850, and relative stabilization of the frontal part of the rock glacier occurred in AD 1711.

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Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1212646110 ◽

2013 ◽

Vol 110 (7) ◽

pp. 2635-2640 ◽

Cited By ~ 86

Author(s):

M. Basner ◽

D. F. Dinges ◽

D. Mollicone ◽

A. Ecker ◽

C. W. Jones ◽

...

Keyword(s):

Sleep Duration ◽

Mission Simulation

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Multi-Mission Simulation and Visualization for Real-time Telemetry Display, Playback and EDL Event Reconstruction

AIAA SPACE 2012 Conference & Exposition ◽

10.2514/6.2012-5226 ◽

2012 ◽

Cited By ~ 3

Author(s):

M.I. Pomerantz ◽

C. Lim ◽

S. Myint ◽

G. Woodward ◽

J. Balaram ◽

...

Keyword(s):

Real Time ◽

Event Reconstruction ◽

Mission Simulation

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Canonical Correlation Analysis of Data on Human-Automation Interaction

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/107118139704100116 ◽

1997 ◽

Vol 41 (1) ◽

pp. 62-65 ◽

Cited By ~ 5

Author(s):

Michael G. Shafto ◽

Asaf Degani ◽

Alex Kirlik

Keyword(s):

Correlation Analysis ◽

Human Factors ◽

Field Study ◽

Canonical Correlation Analysis ◽

Canonical Correlation ◽

Statistical Significance ◽

Study Data ◽

Commercial Aviation ◽

Wide Range ◽

Mission Simulation

Canonical correlation analysis is a type of multivariate linear statistical analysis, first described by Hotelling (1935), which is used in a wide range of disciplines to analyze the relationships between multiple independent and multiple dependent variables. We argue that canonical correlation analysis is the method of choice for use with many kinds of datasets encountered in human factors research, including field-study data, part-task and full-mission simulation data, and flight-recorder data. Although canonical correlation analysis is documented in standard textbooks and is available in many statistical computing packages, there are some technical and interpretive problems which prevent its routine use by human factors practitioners. These include problems of computation, interpretation, statistical significance, and treatment of discrete variables. In this paper we discuss these problems and suggest solutions to them. We illustrate the problems and their solutions based on our experience in using canonical correlation in the analysis of a field study of crew-automation interaction in commercial aviation.

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