A method of flight path and chirp pattern reconstruction for multiple flying bats

Kyler M. Eastman; James A. Simmons

doi:10.1121/1.2046567

Cognitive Factors Mediate the Relation Between Age and Flight Path Maintenance in General Aviation

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000102 ◽

2016 ◽

Vol 6 (2) ◽

pp. 81-90 ◽

Cited By ~ 4

Author(s):

Kathleen Van Benthem ◽

Chris M. Herdman

Keyword(s):

Cognitive Functioning ◽

Flight Path ◽

General Aviation ◽

Cognitive Factors ◽

Pilot Performance ◽

Pilot Error ◽

Age Related ◽

And Performance ◽

Relationship Of ◽

The Relationship

Abstract. Identifying pilot attributes associated with risk is important, especially in general aviation where pilot error is implicated in most accidents. This research examined the relationship of pilot age, expertise, and cognitive functioning to deviations from an ideal circuit trajectory. In all, 54 pilots, of varying age, flew a Cessna 172 simulator. Cognitive measures were obtained using the CogScreen-AE ( Kay, 1995 ). Older age and lower levels of expertise and cognitive functioning were associated with significantly greater flight path deviations. The relationship between age and performance was fully mediated by a cluster of cognitive factors: speed and working memory, visual attention, and cognitive flexibility. These findings add to the literature showing that age-related changes in cognition may impact pilot performance.

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COMPARISON OF FLIGHT PATH OPTIMIZATION PROBLEM SOLUTIONS BY DIRECT AND INDIRECT METHODS FOR A GUIDED AIRCRAFT MISSILE WITH A ROCKET ENGINE

TsAGI Science Journal ◽

10.1615/tsagiscij.2018025535 ◽

2017 ◽

Vol 48 (6) ◽

pp. 551-563

Author(s):

S. A. Lyovin

Keyword(s):

Optimization Problem ◽

Rocket Engine ◽

Flight Path ◽

Path Optimization ◽

Indirect Methods ◽

Flight Path Optimization ◽

Direct And Indirect Methods

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SIMULATION OF THE FLIGHT OF A DROP OF GALVANIC ELECTROLYTE IN AN INHOMOGENEOUS FIELD OF AN ELECTRIC CATCHER

STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS. In the frame of the XXIII Agribusiness Forum of the South of Russia and the Exhibition «Interagromash» Volume 1 ◽

10.23947/interagro.2020.1.467-471 ◽

2020 ◽

Author(s):

V.I. Garshin ◽

◽

A.R. Lebedev ◽

S.E. Geraskova ◽

◽

...

Keyword(s):

Electric Field ◽

Flight Path ◽

Inhomogeneous Field ◽

Inhomogeneous Electric Field ◽

Trajectory Method

The article shows the relations for modeling an inhomogeneous electric field and the flight path of a drop of galvanic electrolyte in it. Estimates are preliminary. Articles and patents of authors in which non-uniform fields are already used are given. A modified trajectory method is proposed for evaluating the effectiveness of trapping harmful electrolyte droplets.

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A Method for Simultaneous Optimization of Power Split and Flight Path Trajectories for Hybrid Electric Aircraft

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-1010 ◽

2021 ◽

Author(s):

HyunKi Lee ◽

Caleb M. Harris ◽

Jonathan C. Gladin ◽

Dimitri N. Mavris

Keyword(s):

Flight Path ◽

Simultaneous Optimization ◽

Electric Aircraft ◽

Power Split ◽

Hybrid Electric

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Flight Path Angle Dynamics of Air-Breathing Hypersonic Vehicles

10.21236/ada444974 ◽

2005 ◽

Cited By ~ 4

Author(s):

Michael A. Bolender ◽

David B. Doman

Keyword(s):

Flight Path ◽

Hypersonic Vehicles ◽

Air Breathing ◽

Flight Path Angle

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Local learning in Memristive Neural Networks for Pattern Reconstruction

2021 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas51556.2021.9401709 ◽

2021 ◽

Author(s):

Gianluca Zoppo ◽

Francesco Marrone ◽

Fernando Corinto

Keyword(s):

Neural Networks ◽

Local Learning ◽

Memristive Neural Networks ◽

Pattern Reconstruction

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A Model of Monitoring as Sensemaking: Application to Flight Path Management and Pilot Training

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641058 ◽

2020 ◽

Vol 64 (1) ◽

pp. 244-248

Author(s):

Dorrit Billman ◽

Randall Mumaw ◽

Michael Feary

Keyword(s):

Supervisory Control ◽

Critical Role ◽

Situation Model ◽

Flight Path ◽

Pilot Training ◽

Critical Part ◽

Current State ◽

Strategic Regulation ◽

Scan Pattern ◽

Flight Deck

Monitoring is a critical part of supervisory control and plays a critical role on the flight deck. Monitoring the flight path is critical to aviation safety. Recently, there has been interest in improving training of monitoring. We propose a model of expert monitoring that can serve as the basis for training. We claim that effective monitoring is much more than a scan pattern or where eyes point. In aviation, monitoring is centered around the pilot’s Situation Model, which integrates and represents the pilot’s knowledge from mental models in memory with observations about the current state. Effective monitoring is a cycle of posing a monitoring question, identifying how to gather the evidence needed to answer the question, and assessing implications for action. These processes may be fluent or effortful but depend on strategic regulation. We step through implications of our model for training.

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