Flow-of-traffic prediction program based mobile edge computing for Internet of vehicles using double auction by Yan LIN, Shuai YAN, Yijin ZHANG, Chunguo LI, Feng SHU

“…With an aim of maximizing the efficiency of edge offloading and the resource utilization of edge computing server simultaneously, a new flow-of-traffic prediction based edge computing offloading solution was proposed for Internet of vehicles (IoV).Firstly, both the efficiency utility function of vehicle and the resource utilization of mobile edge computing (MEC) server were established by considering task priority.Next, the formulated dual-objective optimization problem was transformed into a double auction problem between vehicles and MEC servers.Finally, based on the designed flow-of-traffic based pricing function of vehicle and MEC server, a McAfee auction algorithm was adopted to complete the edge computing process.Simulation results show that benefiting from the flow-of-traffic prediction information, the proposed solution can significantly improve both the efficiency of computation offloading and the utilization of computation resource.…”
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STATISTICAL ANALYSIS OF ENERGY CONSUMPTION DURING THE CUTTING OF FROZEN MEAT BLOCKS USING MULTIPLE EDGE TOOL by A. B. Lisitsyn, V. I. Ivashov, B. R. Kapovsky, O. E. Kozhevnikova

“…Abstract Currently, frozen meat blocks are widely used in meat processing for production of sausages and other meat products. …”
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Cross-Domain Edge Computing Offloading Strategy for Delay-Optimized in Low Earth Orbit Satellite Network by YANG Guisong, HUANG Yechao, HE Xingyu

“…With the rapid development of satellite networks, edge computing on low earth orbit (LEO) satellites has been widely adopted to reduce latency and enhance task processing efficiency. …”
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Efficient Energy Management in Wireless Sensor Networks Using Edge Sensor Node-Based Routing Protocols by Dhari Ali Mahmood, Yahiea Al Naiemy

“… Wireless Sensor Networks (WSNs) provide infrastructure for Various environments and appli- cations that require these sensors must operate in, leading to many challenges, including energy. An Energy-Efficient Edge Routing Protocol (EEERP) has been presented in this paper, the proposed protocol addresses the critical challenge of energy efficiency by leveraging edge sensor nodes(ESNs) strategically positioned at the borders of clusters to act as gateways. …”
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Improvement of Roller Bearing Diagnosis with Unlabeled Data Using Cut Edge Weight Confidence Based Tritraining by Wei-Li Qin, Wen-Jin Zhang, Zhen-Ya Wang

“…To overcome the noise brought by wrong labeling into the classifiers training process, the cut edge weight confidence is introduced into the diagnosis framework. …”
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A Reconfigurable Coarse-to-Fine Approach for the Execution of CNN Inference Models in Low-Power Edge Devices by Auangkun Rangsikunpum, Sam Amiri, Luciano Ost

“…To efficiently deploy CNN inference models on resource-constrained edge devices, field programmable gate arrays (FPGAs) have become a viable processing solution because of their unique hardware characteristics, enabling flexibility, parallel computation and low-power consumption. …”
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A novel self‐timing CMOS first‐edge take‐all circuit for on‐chip communication systems by Saleh Abdelhafeez, Shadi M. S. Harb

“…The authors propose a self‐timing CMOS first‐edge take‐all (FETA) circuit architecture, which examines two overlapping signals’ requests, and outputs only the leading‐edge signal while the lagging‐edge signal's request is declined. …”
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Aerodynamic interaction of rain and wind turbine blades: the significance of droplet slowdown and deformation for leading-edge erosion by N. Barfknecht, D. von Terzi

“…An existing Lagrangian particle model, developed for research in aircraft icing, is adapted, extended, and validated for leading-edge rain erosion to study the process in more detail. …”
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Trailing Edge Flap Effects on Dynamic Stall Vortex and Unsteady Aerodynamic Forces on a Pitching Airfoil by Shi-Long Xing, He-Yong Xu, Wei-Guo Zhang

“…It is found that the TEF can change the development process of the DSV. The upward deflection of the TEF reduces the vorticity flux from the leading edge shear layer, which causes the circulation of the DSV and the translational velocity of the vortex center to decline. …”
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Multi-scale feature fusion and feature calibration with edge information enhancement for remote sensing object detection by Lihua Yang, Yi Gu, Hao Feng

“…Abstract Vision Transformer-based detectors have achieved remarkable success in the field of object detection, but the application of these models to high-resolution remote sensing imagery faces challenges in computational costs and performance bottlenecks due to the increased computational complexity required to process high-resolution imagery, especially when capturing fine-grained edge features. …”
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The double-edged sword effect of algorithmic management on work engagement of platform workers: the roles of appraisals and resources by Feifei Li, Xiaohui Zhan, Yun Liu

“…PurposeThis study aims to explore how food delivery workers' perceptions of threat and challenge mediate the influence of algorithmic management on their work engagement, and to examine the moderating roles of emotional stability and perceived organizational support (POS) in this process.Design/methodology/approachThe present research conceptualized and validated a framework to investigate the double-edged sword influence of algorithmic management on work engagement, highlighting its potential to be both beneficial and detrimental. …”
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Experimental analysis of drilling forces and edge defects in SiCp/Al composites using PCD drills by Hailong Yang, Jun Yao, Xiaofeng Zhang, Renzhi Gao, Baorui Du

“…Macroscopically, exit edge defects are annular along the edge of the hole. …”
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Convolutional Versus Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing by Achintha Ihalage, Sayed Taheri, Faris Muhammad, Hamed Al-Raweshidy

“…Our defect triaging AI model is deployable on edge devices without dedicated hardware and is applicable across software logs in various industries.…”
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DATE on the Edge: On-Site Oil Spill Detection and Thickness Estimation Using Drone-Based Radar Backscattering by Bilal Hammoud, Charbel Bou Maroun, Norbert Wehn

“…The DATE approach is based on U-net models that are designed to process multiple C- and X-band radar backscattering from drones under different ocean conditions. …”
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Edge Computing-Based Video Action Recognition Method and Its Application in Online Physical Education Teaching by Jinzhu Han, Jinjin Zhao, Yan Yue, Xinrui Che

“…Finally, the proposed LWV-ViT network is deployed in an edge computing-based online PE teaching system, where it is installed on each edge device. …”
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An insight into the origins of the cutting edge profile errors of the micro diamond tools: from a mechanical perspective by Hanzhong Liu, Yongda Yan, Jiwen Cui, Wenjun Zong, Tao Sun, Hao Wang

“…Nevertheless, attaining high cutting edge profile accuracy during mechanical lapping remains a formidable challenge, as anisotropic material removal and dynamic process forces frequently lead to cutting edge waviness exceeding 100 nm. …”
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Enhancing Vehicle Location Prediction Accuracy with Road-Aware Rectification for Multi-Access Edge Computing Applications by Asif Mehmood, Afaq Muhammad, Faisal Mehmood, Wang-Cheol Song

“…The results demonstrate that the prediction error is approximately 0.005, while the proposed rectification process further reduces the error to 0.001, highlighting the effectiveness of the proposed approach. …”
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No-Code Edge Artificial Intelligence Frameworks Comparison Using a Multi-Sensor Predictive Maintenance Dataset by Juan M. Montes-Sánchez, Plácido Fernández-Cuevas, Francisco Luna-Perejón, Saturnino Vicente-Diaz, Ángel Jiménez-Fernández

“…Edge Computing (EC) is one of the proposed solutions to address the problems that the industry is facing when implementing Predictive Maintenance (PdM) implementations that can benefit from Edge Artificial Intelligence (Edge AI) systems. …”
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Calculating Depth for Dark Images Using Self-Supervised Learning: An Investigation of the Role of Edge Maps as Input by Shwetang Dubey, Satvik Watts, Ashok Malhotra, Kunal Prajapati, Pavan Chakraborty

“…However, the edge information gets lost during deep learning processes while going through different layers, so we provided the edge map at different layers to check where this edge information is most effective for the depth estimation process. …”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…Secondly, in order to improve the speed of model detection, the convolution operation process for obtaining data features based on Ghost lightweight module is reconstructed. …”
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