Situational awareness is the ability of pilots to master flight status, which great significance aviation safety and effect. According information processing model, pilot’s main steps are feeling, perception execution. There many problems in situation analysis guided by visual gaze, such as large deviation high delay due various influencing factors complex characteristics. In order solve this problem, paper proposes a assessment method based on artificial intelligence neural network...

Pupil tracking technology is a and detection method that uses eye image information to extract real-time position of the pupil. Detecting pilot's movement patterns characteristics through pupil signals an important part monitoring physiological characteristics. The current algorithm prone problems such as insufficient accuracy discontinuous when faced with occlusion caused by frequent blinking loss in dark light environments occur during flight training for pilot students. To increase...

This study aims to capture subtle changes in the pupil, identify relatively weak inter-class changes, extract more abstract and discriminative pupil features, a refinement recognition method based on attention mechanisms. Based deep learning framework ResNet101 residual network as backbone network, model is established. Among them, image preprocessing module used preprocess images captured by infrared spectroscopy, removing internal noise from images. By using are captured, identified,...

A new filter named the maximum likelihood-based iterated divided difference (MLIDDF) is developed to improve low state estimation accuracy of nonlinear due large initial errors and nonlinearity measurement equations. The MLIDDF algorithm derivative-free implemented only by calculating functional evaluations. involves use iteration update current measurement, termination criterion based on likelihood introduced in step, so guaranteed produce a sequence estimate that moves up surface. In...

In order to prove the practical application of intelligent AGV (Automated Guided Vehicle) in port, special requirements port are analyzed, BP (Back Propagation) network algorithm is improved, road sign recognition system and visual established, finally recognit ion accuracy response speed tested through experiments. The results show that characteristics can meet complex conditions, improved has good value, as well rate height. This will be positive significance future research on China.

Improving the efficiency of human-computer interaction is one critical goals intelligent aircraft cockpit research. The gaze control method can vastly reduce manual operation operators and improve intellectual level interaction. Eye-tracking basis sight interaction, so performance eye-tracking will directly affect outcome This paper presents an suitable for in cockpit, which now estimate position on multiple screens based face images. We use a multi-camera system to capture facial images,...

The trend prediction of software vulnerability can provide valuable threat intelligence in security event prevention. It is a challenging task for highly accurate prediction. To address this problem, novel method, STL-EEMD-ARIMA, proposed, by incorporating Seasonal and Trend Decomposition using Loess (STL), Ensemble Empirical Mode (EEMD), Autoregressive Integrated Moving Average (ARIMA). Firstly, the random fluctuation components are extracted from samples STL respectively. Secondly, we use...

Pilots' loss of situational awareness is one the human factors affecting aviation safety. Numerous studies have shown that pilot perception errors are main reasons for a lack without proper system to detect these errors. The objective this study examine changes in pilots' eye movements during various flight tasks from perspective visual awareness. pilot's gaze rule scanning strategy mined through cSPADE, while hidden semi-Markov model-based model used visuoperceptual state, linking...

With the rapid growth of open-source software, code cloning has become increasingly prevalent. If there are security vulnerabilities in a cloned segment, those may spread related software to potentially lead incidents. The existing methods vulnerable detection performed on condition that source is converted into an intermediate representation. However, these do not fully consider rich semantic knowledge and patch information available for codes, which can induce high false positive rate...

The iris recognition of the human eye is mainly aimed at matching, and there are congenital differences in different iris. In this paper, image identified by designing efficient convolution neural network(CNN) model. Firstly, with preprocessing image, region extracted divided into eight rectangular sub-regions. And then, those sub-regions put designed model, which can extract abstract features automatically. Finally, model that learned a large number training data. Experiments show...

The traditional information extraction technology of dashboard is easily affected by external factors, and the robustness poor. To improve safety pilot’s performance on dashboard, this paper proposes a way for extracting feature in eye tracking, which acquires line sight point simulated dashboard. It then uses Mask R-CNN method to detect gaze area extracts target information. Finally, it fuses two sets data get result pilot who scene. Experiment results show that new proposed has better accuracy.

Head-mounted eye-tracking instruments are important devices for sports and human factors research, their calibration is a more tedious task due to the varied morphology of head as well wear differences. In order improve efficiency, we innovatively proposed Z-shaped moving target instead fixed in our self-research wearable device, which improved time needed from 100 seconds less than 30 seconds. addition, reduce error caused by user's movement during calibration, world camera image...

Abstract The keypoint of autonomous driving technology is the accurate instructions maked by desicision-makers based on perception information. Human plays an important role in decision-makers. cognitive load usually used to quantify impact human-computer interaction during flighting. In this paper, we proposed a innovate automatic landing control method theory and Deep Deterministic Policy Gradient. Different traditional algorithm which heavily relays model, reinforcement learning design...

This paper, based on UAV far-flung sensing science and synthetic brain algorithm, studies the monitoring early warning technological know-how of flood catastrophes. Firstly, catastrophes is summarized. Then, blended with geographic records machine (GIS) technology, software in catastrophe analyzed. Finally, combining micro-UAV AI key applied sciences device primarily imaginative prescient are studied, along lookup gadget technology. The definition mindset. Mindset A mindset AI, broadly...

Abstract To overcome low efficiency and accuracy of existing forest fire detection algorithms, this paper proposes a network model to enhance the real-time robustness detection. This structure is based on YOLOv5 target algorithm combines backbone with The feature extraction module attention dsCBAM improved by depth-separable convolution, replaces loss function CIoU original VariFocal that more suitable for imbalanced characteristics positive negative samples in data set. Experiments were...

Pupil center recognition and location is an essential branch of ergonomics. It can be applied to emotion analysis attention judgment. How get the position pupil from eye photos core this field. Previous studies provided a helpful method, using scale-invariant feature transform (SIFT) extract relevant features combine them with K-Nearest Neighbor (KNN) classifier. However, method’s accuracy not satisfying, under some conditions, it will drift other problems. We put forward new idea solve by...

Blockchain technology is a system for storing data in an immutable way that makes it hard to manipulate or trick the system. However, scalability remains crucial challenge encountering issues of low efficiency with transaction throughput. This paper proposes innovative mechanism transmission across homogeneous blockchain systems called Collaborative Multi-Chain Architecture (CMCA). We use sharding combined inter communication model (IBCM) routing management and make entire computation much...

Due to the expanding application field of gaze estimation, estimation has become an important research topic in human-computer interaction and computer vision. Most current mainstream methods for during HCI are based on a sing-camera single-screen system. In order address issues multi-camera multi-screen systems, this paper explores use deep learning model, residual neural network (ResNet50) plus attention mechanism, estimate operator's point (PoG) screen flight simulator. First, front face...

Tactile sensing has recently been used in pattern recognition technology for pilots’ posture information and environmental information. Human tactile is limited, however, through control of the spatial distribution vibration intensity each contact stimulation array, accuracy, convenience, comfort device can be comprehensively improved. Moreover, rate most current flight methods low. In this paper, principle haptic coding optimized. A combined scheme “vibration [Formula: see text] sequence”...