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Full-Text Articles in Engineering

Developing Proactive Methods For General Aviation Data Collection, Scott Shappell, Carla Hackworth, Kali Holcomb, John Lanicci, Massoud Bazargan, Jaclyn Baron, Rebecca Iden, Daniel Halperin Nov 2010

Developing Proactive Methods For General Aviation Data Collection, Scott Shappell, Carla Hackworth, Kali Holcomb, John Lanicci, Massoud Bazargan, Jaclyn Baron, Rebecca Iden, Daniel Halperin

Publications

Introduction. Over the last 20 years, nearly 40,000 general aviation (GA) aircraft were involved in accidents, roughly 20% of which were fatal. To address this safety concern, scientists have often relied on accident data. Because of the rare nature of accidents, commercial aviation incident and near miss data may prove to be useful sources of safety information. In one such study, the National Transportation Safety Board interviewed GA pilots that were flying near a weather-related accident in pursuit of a different perspective than that of the accident pilot. Interviewing GA pilots about their own weather-related event may provide similar …


Adverse Elevator Effect In Landing Flare, Nihad E. Daidzic Apr 2010

Adverse Elevator Effect In Landing Flare, Nihad E. Daidzic

Aviation Department Publications

No abstract provided.


Adding Precision: Incorporating Constant-Rate Descents Into Non-Precision Approaches, Nihad E. Daidzic Mar 2010

Adding Precision: Incorporating Constant-Rate Descents Into Non-Precision Approaches, Nihad E. Daidzic

Aviation Department Publications

No abstract provided.


Individualized Cognitive Modeling For Close-Loop Task Mitigation, Guangfan Zhang, Roger Xu, Wei Wang, Jiang Li, Tom Schnell, Mike Keller, Thomas E. Pinelli (Ed.) Jan 2010

Individualized Cognitive Modeling For Close-Loop Task Mitigation, Guangfan Zhang, Roger Xu, Wei Wang, Jiang Li, Tom Schnell, Mike Keller, Thomas E. Pinelli (Ed.)

Electrical & Computer Engineering Faculty Publications

An accurate real-time operator functional state assessment makes it possible to perform task management, minimize risks, and improve mission performance. In this paper, we discuss the development of an individualized operator functional state assessment model that identifies states likely leading to operational errors. To address large individual variations, we use two different approaches to build a model for each individual using its data as well as data from subjects with similar responses. If a subject's response is similar to that of the individual of interest in a specific functional state, all the training data from this subject will be used …