Pneumatic solenoid valves are extensively utilized in nuclear power plants, where their failure can lead to substantial econo mic losses and pose significant safety risks. In this study, pneumatic selected as the research focus. A model is constructed DABLib using DAMADICS data simulation platform simulate generate fault-type data. XGBoost regression prediction multi-dimensional time series algorithms then employed diagnose incipient faults valves.

Technology breakthroughs and novel ideas proposed by esteemed authors on lane detection systems are summarized in this paper to facilitate autonomous vehicle researchers understand the concept briefly. The importance of driving, especially Advanced driver assistance system (ADAS) future scope research discussed. A high amount sophistication accuracy is expected from prevent road accidents achieve automation. single sensor, algorithm or methodology cannot meet real-world urban expectations...

Abstract Obstacle detection is one of the important works in field driverless vehicle. Camera, millimeter wave radar, LIDAR and other sensors are widely used obstacle However, cameras radar highly dependent on environment greatly affected by external factors, especially process high-speed driving, which easy to produce serious system errors, even unable detect obstacles, has a great potential for safety obstacles launching laser, not be interfered environment. It high precision suitable...

Situational detection in the traffic system is of great significance to management and even urban management. Traditional methods are generally based on roadside equipment monitoring roads, it difficult support large-scale fine-grained incident detection. In this study, we propose a method applied mobile edge, which detects incidents video captured by vehicle cameras, so as overcome limitations terminal perception. For swarm intelligence detection, an improved YOLOv5s object network, adding...

With more people owning cars, traffic accidents happen frequently and result in many fatalities each year. It is challenging for current roadside incident detection equipment to have blind spots, especially after an accident, which results secondary injuries from events not being discovered time. As a result, technique detecting incidents presented use on the vehicle side based video captured by car camera. The backbone of proposed enhanced YOLOv5l model EfficientNet structure with SE layer...

A traditional color recognition sensor cannot track and move at the same time. In order to overcome this problem, OpenMV based cradle head mount tracking system is proposed in paper. After camera captures an image, a series of basic digital image processing performed, which controlled by two servo motors. The pan-tilt movement causes target if pixel value within threshold range, successful displayed rectangular frame. mounted on optimize recognition, increases flexibility facilitating...

To study the acoustic characteristics of sound scattered from laminated structures such as elastic plates and shells, it is usually required to solve Lamb waves' dispersion equations. Many traditional root-finding methods bisection, Newton-Raphson method, Muller method are not able tackle problem completely. A simple but powerful named local peaks search (LPS) proposed overcome their drawbacks. Firstly, non-zero part equation defined function, its reciprocal used transform zeros (i.e.,...

To deal with low recognition accuracy and large time-consumption for dim, small targets in a smart micro-light sight, we propose lightweight model DS_YOLO (dim target detection). We introduce the adaptive channel convolution module (ACConv) to reduce computational redundancy while maximizing utilization of features. address misalignment problem multi-task learning, also design dynamic task alignment detection head (LTD_Head), which utilizes GroupNorm improve performance localization...

The automatic registration of infrared and visible images in vehicular imaging systems remains challenging vision-assisted driving because differences mechanisms. Existing methods often fail to accurately register due numerous spurious points during feature extraction, unstable descriptions, low matching efficiency. To address these issues, a robust efficient for is proposed. In the extraction stage, we propose structural similarity point extractor (SSPE) that extracts using between weighted...

Aiming at the problem of fatigue driving, this paper proposed a driver tracking and detection method combined with OpenMV.OpenMV is used for image acquisition, Dlib feature point model to locate detected driver's face.The aspect ratio eyes calculated judge opening closing eyes, then performed by PERCLOS (Percentage Eyelid Closure over Pupil).The cradle head system mounted detection.The results show that dynamic can improve accuracy 92.10% relaxation 85.20% detection.This be applied...

In order to safely and efficiently use their power as well extend the life of Li-ion batteries, it is important accurately analyze original battery data quickly predict SOC. However, today, most them are analyzed directly for SOC, analysis how obtain factors affecting SOC still lacking. Based on this, this paper uses visualization method preprocess, clean, parse collected (hexadecimal), followed by parsed data, finally K-Nearest Neighbor (KNN) algorithm used Through experiments, can...

In order to make the power transmission more stable and ensure safe operation of system, a study on interaction controllable series compensation traditional PSS suppress low-frequency oscillation is proposed. Firstly, lead-slip angle adjusted by lead-lag module limit stabilizer eliminate reverse modulation phenomenon, used optimize parallel lines different voltage levels improve stability long-distance system. Secondly, phase method set parameters TCSC damping controllers, characteristics...

According to the survey statistics, most traffic accidents are caused by driver's behavior and status irregularities. Because there is no multi-level dangerous state grading system at home abroad, this paper proposes a complex for real-time detection dynamic tracking of state. The uses OpenMV as acquisition camera combined with cradle head collect current driving image in dynamically, combines YOLOX algorithm OpenPose judge detecting unsafe objects cab posture, improved Retinaface face Dlib...

This paper studies a heuristic algorithm with Connected and Autonomous Vehicles (CAVs) navigation in the urban traffic network. The proposed Probability Collective (PC) algorithm, can help to find optimized solution by translating sequential decision-making problem into stochastic deterministic formulation: firstly, multi-vehicle collaboration model is founded trajectory planning discussed complex network; then, coordination integrated control method applied at intersections network PC...

This paper proposes a cone detection algorithm based on HSV color and the least-squares method. The first converts RGB image of into format then binarizes it. Next, filter binarized by methods floodfill morphology. contour is detected, slope determined method for final determination. article also describes principle camera calibration perspective transformation to extract position identified cone. Finally, it verified experiments that recognition effective location information highly reliable.

The computation of the acoustic scattering from objects in ocean is useful to analyze characteristics targets, which can be numerically modelled by boundary element method (BEM). BEM has a defect fictitious frequency problem, Burton-Miller studied overcome singular problems. In this paper, Hadamard finite-part integral based on collocation singularity. It found that, near singularity also quite significant and deteriorates largely accuracy BEM. A polar transformation proposed paper such...