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"Aeronautical instruments."
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Team personality characteristics and performance in a simulated large-aircraft instrument control task
We investigated the relationship between personality characteristics and performance on a simulated large-aircraft instrument control task. The sample comprised 155 undergraduates in China, who completed the Cattell Sixteen Personality Factor Questionnaire to assess personality characteristics, and were randomly allocated to one of 31 teams of five people. We used multiple regression analysis to establish a predictive model of team performance based on team personality elevation and team personality diversity integration models. The results showed that when the team personality elevation integration was used as the independent variable, an increase in rule consciousness led to improvement in team performance, whereas an increase in vigilance, dominance, and social boldness led to a deterioration in team performance. When team personality diversity integration was used as the independent variable, an increase in warmth and openness to change led to improvement in team performance, and an increase in sensitivity led to deterioration in team performance. The simulation task designed in this study provides a specific tool for research involving flight crews on large aircraft. The findings provide a theoretical reference for optimum allocation of flight crews.
Journal Article
Automation airmanship : nine principles for operating glass cockpit aircraft
\"One of the first cohesive works on glass cockpit equipment (digital instrumentation being implemented in more aircraft), this book focuses on limiting in-flight issues and advancing the safe operation of highly automated aircraft\"-Provided by publisher.
Book
Situation assessment in aviation : Bayesian network and fuzzy logic-based approaches
\"Situation Assessment in Aviation focuses on new aspects of soft computing technologies for evaluation and assessment of situations in aviation scenarios. It considers technologies emerging from multisensory data fusion (MSDF), Bayesian networks (BN), and fuzzy logic (FL) to assist pilots in their decision-making. Studying MSDF, BN, and FL from the perspective of their applications to the problem of situation assessment, the book discusses the development of certain soft technologies that can be further used for devising more sophisticated technologies for a pilot's decision-making when performing certain tasks: airplane monitoring, pair formation, attack, and threat. It explains the concepts of situation awareness, data fusion, decision fusion, Bayesian networks, fuzzy logic type 1, and interval type 2 fuzzy logic. The book also presents a hybrid technique by using BN and FL and a unique approach to the problem of situation assessment, beyond visual range and air-to-air combat, by utilizing building blocks of artificial intelligence (AI) for future development of more advanced automated systems, especially using commercial software.The book is intended for aerospace R&D engineers, systems engineers, aeronautical engineers, and aviation training professionals. It will also be useful for aerospace and electrical engineering students taking courses in Air Traffic Management, Aviation Management, Aviation Operations, and Aviation Safety Systems\"-- Provided by publisher.
Book
Aircraft systems : mechanical, electrical, and avionics subsystems integration
This third edition of Aircraft Systems represents a timely update of the Aerospace Series' successful and widely acclaimed flagship title.Moir and Seabridge present an in-depth study of the general systems of an aircraft - electronics, hydraulics, pneumatics, emergency systems and flight control to name but a few - that transform an aircraft.
eBook
Recent Developments and Trends in High-Performance PMSM for Aeronautical Applications
Permanent magnet synchronous machines (PMSMs) have been widely used in various applications such as robotics, electric vehicles, and aerospace due to their fast dynamic response, high-power/torque density, and high efficiency. These features make them attractive candidates for aeronautical applications, where the weight and volume of onboard systems are critically important. This paper aims to provide an overview of recent developments in PMSMs. Key design considerations for aeronautical PMSMs across different applications are highlighted based on the analysis of industrial cases and research literature. Additionally, emerging techniques that are vital in enhancing the performance of aeronautical PMSMs are discussed.
Journal Article
A Cumulant-Based Method for Acquiring GNSS Signals
Global Navigation Satellite Systems (GNSS) provide positioning, velocity, and time services for civilian applications. A critical step in the positioning process is the acquisition of visible satellites in the sky. Modern GNSS systems, such as Galileo—developed and maintained by the European Union—utilize a new modulation technique known as Binary Offset Carrier (BOC). However, BOC signals introduce multiple side-peaks in their autocorrelation function, which can lead to significant errors during the acquisition process. In this paper, we propose a novel acquisition method based on higher-order cumulants that effectively eliminates these side-peaks. This method is capable of simultaneously acquiring both conventional ranging signals, such as GPS C/A code, and BOC-modulated signals. The effectiveness of the proposed method is demonstrated through the acquisition of simulated signals, with a comparison to traditional methods. Additionally, we apply the proposed method to real satellite signals to further validate its performance. Our results show that the proposed method successfully suppresses side-peaks, improves acquisition accuracy in weak signal environments, and demonstrates potential for indoor GNSS applications. The study concludes that while the method may increase computational load, its performance in challenging conditions makes it a promising approach for future GNSS receiver designs.
Journal Article
Cross-Country Ski Skating Style Sub-Technique Detection and Skiing Characteristic Analysis on Snow Using High-Precision GNSS
A comprehensive analysis of cross-country skiing races is a pivotal step in establishing effective training objectives and tactical strategies. This study aimed to develop a method of classifying sub-techniques and analyzing skiing characteristics during cross-country skiing skating style timed races on snow using high-precision kinematic GNSS devices. The study involved attaching GNSS devices to the heads of two athletes during skating style timed races on cross-country ski courses. These devices provided precise positional data and recorded vertical and horizontal head movements and velocity over ground (VOG). Based on these data, sub-techniques were classified by defining waveform patterns for G2, G3, G4, and G6P (G6 with poling action). The validity of the classification was verified by comparing the GNSS data with video analysis, a process that yielded classification accuracies ranging from 95.0% to 98.8% for G2, G3, G4, and G6P. Notably, G4 emerged as the fastest technique, with sub-technique selection varying among skiers and being influenced by skiing velocity and course inclination. The study’s findings have practical implications for athletes and coaches as they demonstrate that high-precision kinematic GNSS devices can accurately classify sub-techniques and detect skiing characteristics during skating style cross-country skiing races, thereby providing valuable insights for training and strategy development.
Journal Article
Team personality characteristics and performance in a simulated large-aircraft instrument control task
We investigated the relationship between personality characteristics and performance on a simulated large-aircraft instrument control task. The sample comprised 155 undergraduates in China, who completed the Cattell Sixteen Personality Factor Questionnaire to assess personality characteristics, and were randomly allocated to one of 31 teams of five people. We used multiple regression analysis to establish a predictive model of team performance based on team personality elevation and team personality diversity integration models. The results showed that when the team personality elevation integration was used as the independent variable, an increase in rule consciousness led to improvement in team performance, whereas an increase in vigilance, dominance, and social boldness led to a deterioration in team performance. When team personality diversity integration was used as the independent variable, an increase in warmth and openness to change led to improvement in team performance, and an increase in sensitivity led to deterioration in team performance. The simulation task designed in this study provides a specific tool for research involving flight crews on large aircraft. The findings provide a theoretical reference for optimum allocation of flight crews.
Journal Article