Coarse alignment in strapdown inertial navigation systems (SINSs) is a critical step ensuring initial and the proper functioning of system. The primary challenge this process lies reducing time while enhancing accuracy, particularly as conventional analytic algorithms often suffer from decreased precision due to measurement errors accelerometers gyroscopes. This paper proposes an improved coarse algorithm by introducing single-axis continuous rotation modulation compensate for gyroscopes...

To our knowledge, this is the first study to use MRI (Magnetic Resonance Imaging) before and after an intensive flight training. This aimed investigate effectiveness of training in civil flying cadets.The cadets controls completed two visits. Visit 1 was performed 2019, high spatial resolution structural image resting-state functional data were collected. The second visit 2022. In addition mentioned above, participants cognitive function assessment at visit.Mixed-effect regression model...

Air transportation networks play important roles in human mobility. In this paper, from the perspective of multilayer network mechanism, dynamics Chinese air are extensively investigated. A multilayer-based passengers re-scheduling model is introduced, and a cooperation (MC) approach proposed to improve efficiency traffic under random failures. We use two metrics: success rate extra transfer number, evaluate re-scheduling. It found that higher can be obtained by MC, MC stronger for resisting...

The impact of occupations on brain structures has attracted considerable research interests in the last decade. aim this is to find effect flight training gray matter volume pilots. whole-brain structural magnetic resonance imaging (sMRI) data collected from 26 pilots and 24 controls was analyzed using Voxel-based morphological analysis method (VBM) combined with T1 quantitatively detect local tissue calculate volume. result shows that pilot group larger lingual gyrus fusiform compared...

Mobile edge computing (MEC) is a technology deployed at the of mobile networks to enhance computation capabilities and reduce transmission distances. It has been extensively researched in context both internet things (IoT) 5G communication. Recently, unmanned aerial vehicles (UAVs) have integrated into MEC create novel architecture that utilizes line-of-sight (LOS) links. In this architecture, UAVs act as relay nodes facilitate offloading tasks from stations (ECSs). However, problem creating...

This paper presents the intelligent landing control system that overcome wind disturbance problem of a civil aviation aircraft during phase when subjected to severe winds and failures such as stuck surfaces. The controller architecture uses dual fuzzy neural network (DFNN) controller, which is capable implementing inference in general mechanism particular. A systematic method for mapping an existing rule base into set weights has also been presented. However, order utilize this initialize...

Airlines occupy an increasingly important place in the economy of many countries. Because air disasters may cause substantial losses, comprehensive surveys psychophysiological mechanism flying are needed; however, relatively few studies have focused on pilots. The default mode network (DMN) is intrinsic connectivity involved a range functions related to flying. This study aimed examine functional properties DMN pilots.Resting-state magnetic resonance imaging data from 26 pilots and 24...

Civil aviation is a distinctive career. Pilots need to monitor the entire system in real time. However, psychophysiological mechanism of flying largely unknown. The human brain large-scale interconnected organization, and many stable intrinsic networks have been identified. Among them are three core neurocognitive networks: default mode network (DMN), central executive (CEN), salience (SN). These play critical role cognition. This study aims examine dynamic properties civil pilots. We...

This paper presents a design method of adaptive fuzzy controllers using dual-fuzzy neural networks (DFNNs). For the convenience control, structure two-fuzzy neural-network controller is divided into two parts. Each part (FNN). The uses FNNs. One FNN used to identify model controlled object. control rule designed with linguistic rules and incorporated other FNN. Simulations object an non-monotonic input-output characteristics are done verify proposed method.

This paper presents the dynamic neuro-fuzzy control system for controlling a gas-fired water heater. The controller proposed in this is comprised of fuzzy logic (FLC) feedback configuration and two neural networks forward path. A identification network (DIN) used to identify output manipulator system, learning (DLN) employed learn weighting factor logic. It envisaged that integration based-controller will encompass merits both technologies, thus provide robust heater system. controller,...

This paper presents the aircraft intelligent landing system with dynamic neuro-fuzzy controller that enhances fault tolerant capabilities of a high performance civil aviation during phase when subjected to severe winds and failures such as stuck control surfaces. The proposed in this is comprised fuzzy logic (FLC) feedback configuration two neural networks forward path. A network (DCN) used system, learning (DLN) employed learn weighting factor logic. It envisaged integration...

Objective Research on the differences in physiological and psychological mechanisms of practitioners different occupations is a current hot spot, such as pilots. This study explores frequency-dependent changes pilots’ low-frequency amplitudes classical frequency band sub-frequency between pilots general occupations. The goal work to provide objective brain images for selection evaluation outstanding Methods Twenty-six 23 age-, sex-, education-matched healthy controls were included this...

Abstract Air transportation systems are often subject to failures or attacks induced by unexpected abominable weather temporal airspace occupation, while complex networks have been springing up as a convenient yet efficient tool represent and analyze various realistic such airline system. In terms of Chinese network formed during the spring festival timespan, structural empirical research invulnerability simulation analysis against deliberate attack strategies were made using theory, where...

In the present paper, based on lattice implication algebra, a kind of linguistic truth-valued propositional logic is constructed with some properties regarding reasoning being provided which can express both comparable and incomparable truth values. Secondly, satisfiability problem discussed. J-true, J-false formula, J-similar literals J-complementary are proposed filter J L. Finally, Based degree complementary similar J-resolution method in introduced.

BACKGROUND: Piloting an aircraft is a complex cognitive task. Human error represents major contributing factor in aviation accidents. Emotion plays important role safety. We performed functional magnetic resonance imaging (fMRI) study to explore whether pilots and nonpilots may differ the neural mechanisms responsible for processing of conflict emotional information. METHODS: A total 27 civil 24 nonpilot controls Stroop task, which participants were required identify facial expressions...

ADS-B technology is one of the critical surveillance technologies identified by ICAO for future and four main directions that China Civil Aviation New Technology Application Development Committee has focused on shortly. According to direction aircraft data transmission, airborne application functions can be divided into OUT IN categories. means receive information sent other provide operational support or ground station equipment pilot. enables from surrounding aircraft, achieve traffic...

The effective planning of UAV trajectories in a 3D environment presents complex global optimization challenge that must account for numerous constraints, including urban settings, mountainous terrain, obstacles, no-fly zones, flight boundaries, travel distances, and trajectory change rates. This paper addresses the limitations whale algorithm planning—specifically its slow convergence, low accuracy, susceptibility to local optimum—by proposing an improved algorithm. enhancement incorporates...

Fuzzy logic, neural networks are two popular artificial intelligence techniques that widely used in many applications. Due to their distinct properties and advantages, they currently being investigated integrated form new models or strategies the areas of system control. This paper presents an adjustment strategy for a dynamic tracking neuro-fuzzy controller (DTNC) steady-state control complex system. In this method, DTNC consists network composed same structure, one control, learning....