Results 31 to 40 of about 768,811 (301)

Meeting Real World Demands of the Global Economy: An Employer's Perspective

open access: yesJournal of Aviation/Aerospace Education & Research, 2018
Educational programs prepare students theoretically for the workplace, but many programs are still lacking in the real-world skills that the workplace requires.
Doreen McGunagle, Laura Zizka
doaj   +1 more source

A deep sequence‐to‐sequence method for accurate long landing prediction based on flight data

open access: yesIET Intelligent Transport Systems, 2021
In civil aviation industry, runway overrun is a typical landing safety incident concerned by both airlines and authorities. Among various contributing factors to the runway overrun incident, long landing plays an important role. However, existing studies
Zongwei Kang   +7 more
doaj   +1 more source

A Deep BiLSTM Machine Learning Method for Flight Delay Prediction Classification

open access: yesJournal of Aviation/Aerospace Education & Research, 2023
This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and Long Short-Term Memory (LSTM) models. Flight delays are a major issue in the airline industry, causing inconvenience to passengers and
Desmond B Bisandu, Irene Moulitsas
doaj   +1 more source

Design and Realization of an Unmanned Aerial Rotorcraft Vehicle Using Pressurized Inflatable Structure

open access: yesInternational Journal of Aviation, Aeronautics, and Aerospace, 2019
Unmanned aerial rotorcraft vehicles have many military, commercial and civil applications. There is a necessity to advance the performance on several ranges of rotorcraft for using these vehicles successfully in the expanded future roles.
Nirmal Sadasivan
doaj   +1 more source

Urban flow and small unmanned aerial system operations in the built environment

open access: yesInternational Journal of Aviation, Aeronautics, and Aerospace, 2019
The Federal Aviation Administration (FAA) has put forth a set of regulations (Part 107) that govern small unmanned aerial system (sUAS) operations. These regulations restrict unmanned aircraft (UA) from flying over people and their operation to within ...
Kevin A. Adkins
doaj   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg   +5 more
wiley   +1 more source

AEROTECH VI - Innovation in Aerospace Engineering and Technology

open access: yes, 2016
The AEROTECH conference was founded in 2005 and first held in Putrajaya, Wilayah Persekutuan. Since then, subsequent AEROTECH conferences were held biennially and this year, it is the sixth edition in the series.

semanticscholar   +1 more source

Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling

open access: yesAdvanced Engineering Materials, EarlyView.
Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer   +3 more
wiley   +1 more source

Lean Engineering: Doing the Right Thing Right [PDF]

open access: yes, 2005
Lean techniques are having a major impact on aerospace manufacturing. However, the cost and value of aerospace (and many other) products is determined primarily in product development. Migrating lean to engineering processes is ongoing in the industry,
Haggerty, Al   +2 more
core  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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