With the widespread application of human body 3D reconstruction technology across various fields, demands for data transmission and processing efficiency continue to rise, particularly in scenarios where network bandwidth is limited low latency required. This article introduces an Adversarial Feature Learning-based Semantic Communication method (AFLSC) reconstruction, which focuses on extracting transmitting semantic information crucial task, thereby significantly optimizing flow alleviating...

Abstract Background Minimally anterolateral approach (MAA) and direct anterior (DAA) have been reported as beneficial for total hip arthroplasty (THA) due to their ability reduce postoperative pain lead quicker rehabilitation by preserving muscle insertions. As there is an ongoing debate on the effect of these two approaches early outcomes, this prospective study aimed assess difference in clinical, radiological, patient-reported outcomes between minimally invasive approaches. Methods A 98...

With the increasing and diversified Internet of Things (IoT) devices, more IoT heterogeneous wireless networks have emerged, providing network services for especially mobile phones other roaming devices. However, there are also some malicious users who use different means to attack security network, so that begin pay attention identity authentication privacy protection Things. This paper designs an node model, which is used enhance capability In order effectively prevent nodes from...

This article's goal is to investigate, using an intelligent random forest model (RFM), the logistics supply chain's network risk control method. The chain network, a vital component of modern economy, faces numerous potential risks, and uncertainties. To ensure stability sustainability chain, effective plan crucial. article examines network's management practices proposes approach based on RFM. Many data are gathered compared with other widely used models in experimental section, including...

Vehicle mobile Internet of Things uses sensor technology, and intelligent computing technology to effectively monitor provide comprehensive services for vehicle operation status. It is an important part building a smart city, making urban transportation more efficient, environmentally friendly, intelligent, safety. In the Things, when in-vehicle sensors are in communication with each other, they often affected by factors, such as network mobility, transmission range, signal interference....

To address the issue of image denoising algorithms blurring details during process, we propose an adaptive algorithm for 3D reconstruction 2D images. This takes into account inherent visual characteristics human eyes and divides regions based on entropy value each region. The background region is subject to threshold denoising, while target undergoes processing using adversarial generative network. network effectively handles images with noise generates a model target. proposed aims enhance...

In cognitive relay networks, the user opportunistically accesses authorized spectrum segment of primary and simultaneously serves as data node while sharing resource user. This not only improves utilization efficiency network resources but also throughput users. However, if randomly selects node, there is no guarantee for an optimal throughput. Moreover, system power consumption may increase. order to improve optimize utility, this paper proposes a optimization algorithm based on deep...

As intelligent vehicle networks become integral to modern transportation systems, the need for accurate and efficient multi-scene target detection in complex urban environments is increasingly critical. Addressing challenge of processing transmitting extensive image data rapidly accurately under dynamic road conditions, this paper proposes Multi-scene Target Detection Semantic Communication (MTDSC) method. MTDSC employs convolutional neural region proposal effective images, further utilizes...

With the rapid progress of computer vision and deep learning techniques, accurately predicting continuous human motions from very few image inputs generating high-quality 3D models has become a cutting-edge research direction in this field. Despite achievements 2D to conversion it is still great challenge capture coherent movements limited frames generate texture-rich models. In paper, we propose clothed body generation method based on Inter-Frame Motion Prediction (IFMP for short) images,...

With the widespread application of human body 3D reconstruction technology across various fields, demands for data transmission and processing efficiency continue to rise, particularly in scenarios where network bandwidth is limited low latency required. This paper introduces an Adversarial Feature Learning-based Semantic Communication method (AFLSC) reconstruction, which focuses on extracting transmitting semantic information crucial task, thereby significantly optimizing flow alleviating...

Mobile object tracking is a computer vision technology that detects, recognizes, and tracks moving objects in video sequences. It widely used various fields, such as intelligent security, traffic safety, unmanned aerial vehicle reconnaissance, sports events broadcasting, wildlife protection. Although mobile has become increasingly mature practical applications, many performance defects still exist under complex conditions. For example, targets can be occluded by other objects, or may...

The existing pedestrian target recognition algorithms often suffer from insufficient classification decision, which affects the accuracy of tracking. This paper proposes an algorithm that enhances tracking by incorporating information preceding and subsequent frames in video. To tackle issue drift during occlusion, establishes a feature dictionary extracting relevant such as contours, key points, geometric features. Moreover, to address drift, this employs twin Network model update mechanism...

Vehicular ad hoc network (VANET) is a key part of intelligent transportation system. VANET technology very important for realizing vehicle-to-vehicle communication, remote control unmanned vehicles, and early warning reception road condition information ahead time when external networks such as the Internet are limited. Aiming at problems uncertainty in vehicle mobility, uneven distribution traffic density sections, scene where located VANET, multiscenario QoS routing algorithm (MISR)...

The project is based on Sun Yat-sen University, Xinhua College, using 3Ds Max as the main modeling software, and by method of combination campus static scene model, rendering baking a mapping scenario model with high degree simulation.And then we use Max-for-VRP plugin to import into VRP-Builder platform edit function.Finally, realize interactive between users various objects in virtual environment, way optimizing collision test system scene, improve authenticity flexibility interactivity...

Based on the exploration or rescue needs of complex areas such as mines and caves, in view problems narrow information detection range, short distance, single function, no obstacle-crossing ability existing robots, an robot based ROS system is designed. The surrounding environment obtained by 2D lidar, attitude acceleration sensor (IMU), autonomous positioning mapping realized Gmapping algorithm, motor speed calculated path planning algorithm to control movement robot. test results show that...