Using perception data to excavate vehicle travel information has been a popular area of study. In order learn the characteristics in city Ruian, we developed common methodology for structuring travelers’ complete using time threshold recognize single trip based on automatic license plate reader and built trajectory reconstruction model integrated into technique preference by similarity an ideal solution depth-first search manage vehicles’ incomplete records phenomenon. increase...

Hand gesture recognition has been applied to many fields in recent years, especially man-machine interaction (MMI) area, which is regarded as a more natural and flexible input. In this paper, an overview of hand research up date presented, includes common stages recognition, methods technique each stage, the state summaries some successful models.

Tongue diagnosis, one of the essential diagnostic methods Traditional Chinese Medicine (TCM), is considered an ideal candidate for remote diagnosis because its convenience and noninvasiveness. However, trade-off between accuracy efficiency variation tongue images pose great challenges in real-time image segmentation. To remedy these problems, this paper, a light weight architecture based on encoder-decoder structure proposed. The feature extraction (TIFE) module designed to generate features...

Abstract The effects of operating conditions on radial variation gas holdups, bubble swarm rising velocity, and Sauter mean diameter were investigated in a column reactor under elevated pressures using conductivity probe method. Air served as phase tap water liquid with varying velocity pressure. All three parameters increased constantly higher superficial velocity. Maximum holdup, found at the center cross section. Two different cases for distribution observed. holdups increase continuously...

Abstract The volumetric gas‐liquid mass transfer coefficient, k L α, for oxygen was studied by using the dynamic method in slurry bubble column reactors with high temperature and pressure. effects of temperature, pressure, superficial gas velocity solids concentration on coefficient are systemically discussed. Experimental results show that increases increase velocity, decreases concentration. Moreover, α values a large slightly higher than those small one at certain operating conditions....

Abstract Gas holdups and the rising velocity of large small bubbles are measured using dynamic gas disengagement approach in a pressured bubble column 0.3 m diameter 6.6 height. The effects superficial velocity, liquid surface tension, viscosity, system pressure on investigated. holdup increase with increasing viscosity tension. Meanwhile, swarm decrease. Moreover, decrease pressure. A correlation for is obtained from experimental data.

Teeth segmentation is a crucial technologic component of the digital dentistry system. The limitations live-wire include two aspects: (1) computing wire as boundary time-consuming and (2) great deal interactions for dental mesh inevitable. For overcoming these disadvantages, 3D intelligent scissors based on presented. Two tensor-based anisotropic metrics making lie at valleys ridges are defined, timesaving Dijkstra adopted. Besides, to improve with smoothness path tracking back by...

High resolution remote sensing image target change detection technology has been widely used, and the traditional can not meet requirements of high precision detection. This paper proposes that visual saliency be used for to improve accuracy reliability First, two images different time are obtained, interesting region obtained by Then difference between interest is calculated, finally binaryzation get clear changing image, which effectively accuracy.

Abstract. For wide application of change detection with SAR imagery, current processing technologies and methods are mostly based on pixels. It is difficult for pixel-based to utilize spatial characteristics images topological relations objects. Object-oriented technology takes objects as unit, which advantage the shape texture information image. can greatly improve efficiency reliability detection. Recently, development polarimetric synthetic aperture radar (PolSAR), more backscattering...

Person pose transfer has shown great application prospects and potential in recent years. However, this research mainly focuses on posture does not pay much attention to other human body attributes. In addition, there are problems such as blurred facial expressions inconsistent texture. order solve these improve user experience, paper proposes a multi-feature person image generation model, which combines expression completes the lighting reconstruction of images. Our model can simultaneously...

Huge embedding tables in modern Deep Learning Recommender Models (DLRM) require prohibitively large memory during training and inference. Aiming to reduce the footprint of training, this paper proposes FIne-grained In-Training Embedding Dimension optimization (FIITED). Given observation that vectors are not equally important, FIITED adjusts dimension each individual vector continuously assigning longer dimensions more important embeddings while adapting dynamic changes data. A novel storage...

With the remarkable advancements in image generation and open-form text generation, creation of interleaved image-text content has become an increasingly intriguing field. Multimodal story characterized by producing narrative texts vivid images manner, emerged as a valuable practical task with broad applications. However, this poses significant challenges, it necessitates comprehension complex interplay between images, ability to generate long sequences coherent, contextually relevant...

Visual aesthetics has always been an important area of computational vision, and researchers have continued exploring it. To further improve the performance image aesthetic evaluation task, we introduce a Transformer into task. This paper pioneers novel self-supervised model founded upon Transformers. Meanwhile, expand pretext task to capture rich visual representations, adding branch for inpainting masked images in parallel with tasks related quality degradation operations. Our model’s...

Although TLD (Tracking-Learning-Detection) algorithm can enable the long-term tracking, there are still many problems in it. In this paper, an improvement is made on detection module of to satisfy need time and accuracy. First, we use Kalman Filter narrow range detector effectively. Then, replace traditional with Cascaded Random Forest detector, combining global local search strategy, which reduce computation burden algorithm, achieve real-time object tracking. The experimental results...

摘要: 自我解释是指个体如何思考自我及其与他人的关系。在集体主义-个人主义维度下, 东西方人分属于典型的相依性-独立性自我解释:自我参照任务中, 东亚人的自我和重要他人(如母亲)均表征于内侧前额叶皮质(MPFC), 西方人的自我和重要他人分表征于不同脑区; 偶发任务和词-音不一致任务中, 相依性自我解释程度分别调节P3和N400的活动; 文化启动任务中, 双文化被试可通达相应的自我解释。社会脑假设、文化-基因协同进化论和神经-文化交互作用模型对此进行了阐释。未来应研究中国人的关系自我, 尤其是探索本土化的理论和研究方法。