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FLIGHT LABORATORIES AND FLIGHT DATA RECORDERS
The aim of this paper is to familiarize the reader with the specifications of Flight Data Recorders used in aviation and used for the flight laboratory of University of Žilina, which is the part of project named:”Centre of Excellence for Air Transport ...
Branislav Kandera
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Within the planetary boundary layer (PBL), surface forcing response, drag, turbulence, and vertical mixing are important processes and play a more critical role here than in the overlying “free atmosphere.” The PBL height (PBLH) is an important parameter
Feng Ding +4 more
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Improving Tourism Analytics From Climate Data Using Knowledge Graphs
Climate change has been deemed to be one of the greatest challenges facing humans in the 21st century, with extreme weather events taking place more regularly than before. While the impact of climate change has been well documented in recent years across
Jiantao Wu +4 more
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An Unsupervised Learning Approach for Analyzing Unsafe Pilot Operations Based on Flight Data
Flight safety is a hot topic in the aviation industry. Statistics show that safety incidents during landing are closely related to the flare phase because this critical period requires extensive pilot operations.
Xiuyi Li +5 more
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Flight Data-Based Wind Disturbance and Air Data Estimation
The instantaneous wind field and air data, including true airspeed, angle of attack, angle of sideslip, cannot be measured and recorded accurately in wind disturbance.
Zhenxing Gao +3 more
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There are different missing flight data due to various reasons in the process of acquisition and storage, especially in general aviation, which cause inconvenience for flight data analysis.
Nongtian Chen +3 more
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This paper aims to build a Self-supervised Fault Detection Model for UAVs combined with an Auto-Encoder. With the development of data science, it is imperative to detect UAV faults and improve their safety. Many factors affect the fault of a UAV, such as
Shenghan Zhou +4 more
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RIDL: Rogue In-Flight Data Load [PDF]
We present Rogue In-flight Data Load (RIDL)1 , a new class of unprivileged speculative execution attacks to leak arbitrary data across address spaces and privilege boundaries (e.g., process, kernel, SGX, and even CPU-internal operations). Our reverse engineering efforts show such vulnerabilities originate from a variety of micro-optimizations pervasive
van Schaik, Stephan +7 more
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Iced Aircraft Flight Data for Flight Simulator Validation [PDF]
<div class="htmlview paragraph">NASA is developing and validating technology to incorporate aircraft icing effects into a flight training device concept demonstrator. Flight simulation models of a DHC-6 Twin Otter were developed from wind tunnel data using a subscale, complete aircraft model with and without simulated ice, and from previously ...
Thomas P. Ratvasky +3 more
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A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation
Recent catastrophic events in aviation have shown that current fault diagnosis schemes may not be enough to ensure a reliable and prompt sensor fault diagnosis.
Nicholas Cartocci +3 more
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