Smart icing systems for aircraft icing safety
暂无分享,去创建一个
Petros G. Voulgaris | Nadine B. Sarter | William R. Perkins | Tamer Basar | Michael S. Selig | Michael B. Bragg | James W. Melody | T. Başar | P. Voulgaris | W. Perkins | N. Sarter | M. Selig | J. Melody | M. Bragg
[1] Jackson E. Bruce. Manual for a Workstation-Based Generic Flight Simulation Program (LaRCsim) Version 1.4 , 1995 .
[2] William R. Perkins,et al. DETECTION AND CLASSIFICATION OF AIRCRAFT ICING USING NEURAL NETWORKS , 2000 .
[3] Tamer Basar,et al. SENSOR INTEGRATION FOR INFLIGHT ICING CHARACTERIZATION USING NEURAL NETWORKS , 2001 .
[4] F. Hawkins. Human factors in aviation. , 1979, Journal of psychosomatic research.
[5] Nadine B. Sarter,et al. Smart icing systems for aircraft icing safety , 2002 .
[6] William R. Perkins,et al. An Interdisciplinary Approach to Inflight Aircraft Icing Safety , 1998 .
[7] Nadine B. Sarter,et al. Supporting Decision Making and Action Selection under Time Pressure and Uncertainty: The Case of In-Flight Icing , 2001, Hum. Factors.
[8] Thomas P. Ratvasky,et al. NASA/FAA Tailplane Icing Program Overview , 1999 .
[9] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[10] Christopher D. Wickens,et al. 12 – Aviation Displays , 1988 .
[11] Christopher D. Wickens,et al. The Structure of Attentional Resources , 1980 .
[12] J. G. Hollands,et al. Engineering Psychology and Human Performance , 1984 .
[13] Jackson E. Bruce. Results of a Flight Simulation Software Methods Survey , 1995 .
[14] Nadine B. Sarter,et al. Peripheral Visual Feedback: A Powerful Means of Supporting Effective Attention Allocation in Event-Driven, Data-Rich Environments , 2001, Hum. Factors.
[15] K. Hossain,et al. Envelope protection and atmospheric disturbances in icing encounters , 2002 .
[16] Devesh Pokhariyal,et al. Aircraft flight dynamics with simulated ice accretion , 2001 .
[17] John D. Lee,et al. Trust, self-confidence, and operators' adaptation to automation , 1994, Int. J. Hum. Comput. Stud..
[18] Bonnie M. Muir,et al. Trust in automation. I: Theoretical issues in the study of trust and human intervention in automated systems , 1994 .
[19] William R. Perkins,et al. H∞ Parameter Identification for Inflight Detection of Aircraft Icing: The Time-Varying Case☆ , 2000 .
[20] C. Wickens. Engineering psychology and human performance, 2nd ed. , 1992 .
[21] Raja Parasuraman,et al. Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.
[22] N Moray,et al. Trust, control strategies and allocation of function in human-machine systems. , 1992, Ergonomics.
[23] Michael B. Bragg,et al. Characterizing the Effect of Ice on Aircraft Performance and Control from Flight Data , 2002 .
[24] Petros G. Voulgaris,et al. Parameter Identification for Inflight Detection of Aircraft Icing , 1999 .
[25] Petros G. Voulgaris,et al. Parameter identification for inflight detection and characterization of aircraft icing , 2000 .
[26] Michael B. Bragg,et al. Effect of ice accretion on aircraft flight dynamics , 2000 .
[27] Marc Rauw,et al. FDC 1.2 - A Simulink Toolbox for Flight Dynamics and Control Analysis , 2001 .
[28] N. Sarter,et al. Supporting decision-making and action selection under time pressure and uncertainty: The case of inflight icing , 2001 .