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Development Of A Safety Decision-Making Scenario To Measure Worker Safety In Agriculture, Gretchen A. Mosher Dr., Nir Keren Dr., Steven A. Freeman Dr., Charles R. Hurburgh Dr. Jan 2014

Development Of A Safety Decision-Making Scenario To Measure Worker Safety In Agriculture, Gretchen A. Mosher Dr., Nir Keren Dr., Steven A. Freeman Dr., Charles R. Hurburgh Dr.

Gretchen A. Mosher

No abstract provided.


The Crew Workload Manager: An Open-Loop Adaptive System Design For Next Generation Flight Decks, Michael C. Dorneich, Bretislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiri Vasek, Stephen D. Whitlow, Martijin Beekhuyzen Jan 2011

The Crew Workload Manager: An Open-Loop Adaptive System Design For Next Generation Flight Decks, Michael C. Dorneich, Bretislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiri Vasek, Stephen D. Whitlow, Martijin Beekhuyzen

Michael C. Dorneich

This paper presents an open loop adaptive system intended to address workload imbalances in future, high-workload flight decks. Air traffic in Europe is expected to more than double by 2020. New technologies being proposed will significantly add to pilot roles and responsibilities, and has the potential to add further periods of high workload to pilot operations. The CAMMI (Cognitive Adaptive Man Machine Interface) program addresses human factors priorities in the aviation domain by developing concepts that balance operator workload, support added future operator roles and responsibilities and resulting new task and information requirements, while allowing operators to focus on the …


Artificial Neural Networks For Analyzing Concrete Airfield Pavements Serving The Boeing B-777 Aircraft, Halil Ceylan, Erol Tutumluer, Ernest J. Barenberg Jan 2007

Artificial Neural Networks For Analyzing Concrete Airfield Pavements Serving The Boeing B-777 Aircraft, Halil Ceylan, Erol Tutumluer, Ernest J. Barenberg

Halil Ceylan

An artificial neural network (ANN) model has been trained with the results of the ILLI-SLAB finite element program and has been used to predict stresses and deflections in jointed concrete airfield pavements serving the Boeing B-777 aircraft. The trained ANN model produces stresses and deflections with average errors of less than 0.5 percent of those obtained directly from the finite element analyses. Use of the ANN model has been found to be very effective for correctly predicting ILLI-SLAB stresses and deflections, in less than 1 s, with no requirements of complicated finite element inputs. On the other hand, elastic layered …