It is critical for intelligent vehicles to be capable of monitoring the health and well-being drivers they transport on a continuous basis. This especially true in case autonomous vehicles. To address issue, an automatic system developed driver’s real emotion recognizer (DRER) using deep learning. The emotional values indoor are symmetrically mapped image design order investigate characteristics abstract expressions, expression principles, experimental evaluation conducted based existing...

Abstract Short‐term forecasting of traffic flow is an indispensable part easing pressure. Considering that different patterns will affect the short‐term prediction results, a combined method based on K‐means clustering algorithm and gated recurrent unit (GRU) proposed to build model overcome above problems. The used cluster historical data establish pattern libraries. K‐nearest neighbour (KNN) classification determine most similar change trend date be predicted. All in this category training...

The lack of skid resistance performance is a crucial factor leading to road traffic accidents. pavement surface friction an essential indicator for measuring the resistance. texture structure significantly affects between tire and pavement, determining To deeply study relationship performance, two types asphalt mixture specimens, concrete (AC) open-graded course (OGFC), are prepared test. Firstly, high-precision 3D smart sensor Gocator 3110 used collect point cloud data texture. British...

This research conducts a quantitative analysis on the macrotexture of asphalt concrete pavement based three-dimensional (3D) point cloud data. A binocular stereovision-based 3D data collection system is developed. The composed packaged component that includes lighting source and two cameras, dark shading cloth, computer control side with configuration operation interface. Meanwhile, specimens both open graded friction course (OGFC) are prepared as test specimens. Next, collected using...

A super-resolution reconstruction approach based on an improved generative adversarial network is presented to overcome the huge disparities in image quality due variable equipment and illumination conditions image-collecting stage of intelligent pavement detection. The nonlinear generator first improved, Residual Dense Block (RDB) created serve as Batch Normalization (BN). Attention Module then formed by combining RDB, Gated Recurrent Unit (GRU), Conv Layer. Finally, a loss function L1 norm...

In order to measure the texture depth of asphalt pavement automatically and accurately, a data set generated by real-time laser meter (RLPTM) was realized, calculation method developed. Three groups experiments were designed conducted calibrate results electric sand patch (ESPM) ASTM compare performance RLPTM with ESPM. Experimental showed that correlation coefficient ESPM have reached up 0.9830, indicating good correlation. The had higher resolution (more significant figures) better...

Two optimization methods are proposed to improve faster region-based convolutional neural network (Faster R-CNN), which (1) restructuring Faster R-CNN's backbone and the classification regression (C&R) using residual networks (2) designing feature ensemble structure for R-CNN combine shallow with deep maps of backbone. In addition, this paper a method evaluate model's performance, is pixel mean value ( P ) distribution different channel maps, quantitatively representation capability...

This paper aims to achieve the accurate detection of ball grid array (BGA) solder joints.To this end, author presented an adaptive template matching method for BGA joints based on shape detection.First, region interest (ROI) was selected from X-ray image printed circuit board (PCB).Then, edge generated through ROI extraction and threshold segmentation, direction vector f taken as prior knowledge.After that, global traversal search performed pyramid in top-down manner, aiming obtain potential...

Permanent Magnet motor has significant importance in the area of motors because it's more reliable than DC and reason for this that PM doesn't have a commutator. With comparison Alternate Current motor, synchronous advantage like generates rotor magnetic flux with magnets due to this, gained efficiency is very high. In latter part paper we explained how applied simulation results are compared under different section mathematical modeling, experimental validation, toll result. second last...

Abstract To improve the detection level of aggregate shape for automated road use, Per-Optuna-LightGBM model classification is proposed. Collect images using industrial camera and extract 48 morphological feature parameters. A importance analysis method based on Spearman Correlation Permutation Importance proposed to remove redundant factors select parameters morphology. Based cross-validation, an optimized Optuna-LightGBM trained constructed dataset. Compared with GS-XGBoost algorithm, can...

AC-DC power factor correction (PFC) single-stage converters both PFC and conversion are done at the same time using a single converter that regulates output. While Switch Mode Converters (SMRs) for from AC to DC, it enhances harmonics of fundamental frequency input source thus increases total Harmonic Distortion (THD) input. In this situation, we lose more than required specific Load. So need design such control system which could help us reduce THD I have tried simulate boost type circuit...

Abstract The precise calculation of the aggregate size is crucial for detecting gradation. Therefore, aim this study was to propose a method calculating particle size. First, series image-processing methods, such as filtering, enhancement, segmentation, and morphology, were implemented obtain binary image. Consequently, determining shape correcting devised. particles are divided into four categories, i.e., rectangle, ellipse, diamond, triangle, according three parameters: compact factor,...

Ajax implements data exchange between a client and server though the asynchronous communication mechanism, which is research hotspot belongs to Series of web2.0 technology. This paper analyses technical features WEB apply it B / S structure teaching management system design. In practice, Web pages through JavaScript call Asynchronous engine load data, not only lightened burden on bandwidth, improve user experience.

In order to appraise the molding effect of Hamburg wheel tracking device, this paper designs comparative experiment and molds two test samples Sup-20 gradation asphalt mixture by device grind separately. Then obtains cross section images cutted using a digital camera extracts features coarse aggregate particles image processing techniques. Further more, calculates orientation angle distribution appraises through analysis curves samples. The results shows that effects is better than device.

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