AI-based Maize and Weeds detection on the edge with CornWeed Dataset by Naeem Iqbal, Christoph Manss, Christian Scholz, Daniel Koenig, Matthias Igelbrink, Arno Ruckelshausen

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Performance Analysis and Application of Mobile Blockchain in Mobile Edge Computing Architecture by Thiago Sandes, Admilson Lima, Edward Moreno

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Design and Implementation of ESP32-Based Edge Computing for Object Detection by Yeong-Hwa Chang, Feng-Chou Wu, Hung-Wei Lin

“…A complementary cloud server software framework is also designed to support edge processing. A deep learning model for object recognition is selected, trained, and deployed on the edge server. …”
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Research on Fault Diagnosis Method for Rotating Machinery Based on Edge Computing by Mo Chen, Chao Ge, Qirui Yang, Zhe Wei

“…Rotating machinery, as a vital and inevitable component in industrial production and processing, plays a crucial role in ensuring the normal operation of production processes. …”
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Cutting-edge assessment techniques for B cell immune memory: an overview by Martina Bozhkova, Petya Gardzheva, Vanya Rangelova, Hristo Taskov, Marianna Murdjeva

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Detecting infrared UAVs on edge devices through lightweight instance segmentation. by YuZhi Chen, HaoYue Sun, Liang Tian, Ye Yang, ShenYang Wang, TianYou Wang

“…<h4>Motivation</h4>Infrared unmanned aerial vehicle (UAV) detection for surveillance applications faces three conflicting requirements: accurate detection of pixel-level thermal signatures, real-time processing capabilities, and deployment feasibility on resource-constrained edge devices. …”
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Method of ciphertext retrieval in mobile edge computing based on block segmentation by Na WANG, Kun ZHENG, Junsong FU, Jian LI

“…Aiming at the efficiency of cloud computing ciphertext retrieval scheme,a method of ciphertext retrieval in mobile edge computing based on block segmentations was proposed.Firstly,the edge server was introduced to calculate the document similarity score,thereby the computational cost of cloud server was reduced and the processing efficiency of cloud server was improved.Secondly,most keywords that are not related to the query were filtered out by a method of block segmentations based on the MRSE scheme,thereby the efficiency of calculating the document similarity score was improved.Theoretical analysis and experimental results show that the solution is safe under the known background threat model.Compared with the existing scheme,the proposed scheme has the same security and higher retrieval efficiency.…”
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Cutting-Edge Review of Big Data Preprocessing in TBM Tunnel Construction by Qinghua Guo, Haohan Xiao, Rongjian He, Lipeng Liu, Haopeng Yang, Hongtao Yu

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Resource allocation based on optimal transport theory in IoT edge computing by Qi ZHANG, Yuna JIANG, Xiaohu GE, Yonghui LI

“…With the development of the Internet of things (IoT) and edge computing, the computation-intensive tasks of IoT devices can be offloaded to edge devices and processed at the edge of networks.Due to the variation of the distribution and computation requirements of IoT devices, the computation resources of edge networks need to be managed dynamically.The optimal transport theory was adopted to optimize the computation resources allocation in IoT networks.An optimized regional partition mechanism was proposed based on the distribution of IoT devices and locations of edge computing devices.Under constraints on the computing capabilities of edge computing devices, the energy consumption and delay of IoT devices were optimized.The simulation results show that, compared with the traditional Voronoi partition scheme, the proposed optimization mechanism shows better balance.The average transmitting power can be reduced by 21% and the average delay can be reduced by 45%.…”
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Virtual reality compressing and transmitting system based on mobile edge computing by Bin TAN, Songyuan ZHAO, Jun WU, Wenru ZHANG

“…In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.…”
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Introduction. The Himalayas from its edges: networks, identities and place-making by Dibyesh Anand, Swargajyoti Gohain, Nitasha Kaul, Sayantani Mukherjee

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Algorithm design on energy efficiency maximization for UAV-assisted edge computing by Qihui WU, Wei WU

“…For the unmanned aerial vehicle (UAV)-assisted edge computing system,a two-stage alternative algorithm was proposed to solve the formulated complex non-convex problem.Firstly,the formulated non-linear fractional programming problem was reformulated to the equivalent parametric problem by using Dinkelbach method.Secondly,two sub-problems were further considered based on it.By employing the Lagrange duality method,the closed-form solutions for the central processing unit frequencies and the number of data bits were derived.Finally,based on the solutions obtained,the conditions that the source node prefers to offload/share its data and the relay chooses to forward the computation results,as well as the approaches to achieve high energy efficiency were revealed.Numerical results demonstrate that the proposed design can achieve a performance improvement of up to 20 times over the conventional schemes.…”
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Intelligent Infrastructure for Traffic Monitoring Based on Deep Learning and Edge Computing by Jaime Villa, Franz García, Rubén Jover, Ventura Martínez, José M. Armingol

“…This study proposes a computer vision-based solution that allows for real-time processing of video streams through edge computing devices, eliminating the need for Internet connectivity or dedicated sensors. …”
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Dynamic privacy measurement model and evaluation system for mobile edge crowdsensing by Mingfeng ZHAO, Chen LEI, Yang ZHONG, Jinbo XIONG

“…To tackle the problems of users not having intuitive cognition of the dynamic privacy changes contained in their sensing data in mobile edge crowdsensing (MECS) and lack of personalized privacy risk warning values in the data uploading stage, a dynamic privacy measurement (DPM) model was proposed.A structured representation of data obtained by a user participating in a sensing task was introduced and was transformed it into a numerical matrix.Then privacy attribute preference and timeliness were presented to quantify the dynamic privacy changes of data.With this, personalized privacy thresholds of users based on the numerical matrix were reasonably calculated.Finally, differential privacy processing was performed on the numerical matrix, and a model evaluation system was designed for the proposed model.The simulation results show that the DPM model was effective and practical.According to the given example, a data utility of approximately 0.7 can be achieved, and the degree of privacy protection can be significantly improved as the noise level increases, adapting to the MECS of IoT.…”
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Uncertain edge coalition game based EIP revenue estimation strategy by ZHAO Shuxu, XIA Xinyu, WANG Xiaolong

“…In the edge computing environment, there are risks such as communication channel risks and edge server failures, which can lead to a mismatch between the computing resources required for task processing and the resources allocated by the edge coalition. …”
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Multi-camera video collaborative analysis method based on edge computing by Zhibo QI, Lei DU, Ru HUO, Fan YANG, Tao HUANG

“…In order to reduce the processing volume of multi-camera real-time video data in smart city scenarios, a video collaborative analysis method based on machine learning algorithms at the edge was proposed.Firstly, for the important objects detected by each camera, different key windows were designed to filter the region of interest (RoI) in the video, reduce the video data volume and extract its features.Then, based on the extracted data features, the same objects in the videos from different cameras were annotated, and a strategy for calculating the association degree value between cameras was designed for further reducing the video data volume.Finally, the GC-ReID algorithm based on graph convolutional network (GCN) and re-identification (ReID) was proposed, aiming at achieving the collaborative analysis of multi-camera videos.The experimental results show that proposed method can effectively reduce the system latency and improve the video compression rate while ensuring the high accuracy, compared with the existing video analysis methods.…”
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An efficient method for mining frequent weighted subgraphs based on weighted edges by Lam B. Q. Nguyen, Nhan H. Vo, Nhung N. Chau, Bay Vo

“…However, the OWGraMi algorithm is still limited when it only considers the weights of vertices on the graph, not edge weights. In this paper, we introduce two new contributions to further improve the OWGraMi algorithm: calculating weights for subgraphs based on their edge weights, and using these edge weights to prune the search space to increase the performance of the new weighted graph mining algorithm, named WEGM (Weighted Edge GraMi). …”
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Edge States and Chiral Solitons in Topological Hall and Chern–Simons Fields by Agalar M. Agalarov, Telman A. Gadzhimuradov, Alexander A. Potapov, Alexander E. Rassadin

“…An asymptotic analysis t →±∞ of soliton-soliton interactions shows that there is no backscattering processes. We identify these solutions with the edge (topological protected) states – chiral solitons – in the multi-layer quantum Hall systems. …”
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Optimized Offloading in Vehicular Edge Computing: A Game Theoretic Analysis by Abdelkarim Ait Temghart, Mbarek Marwan, Mohamed Baslam

“…By leveraging nearby Multi-access Edge Computing (MEC) resources, VEC enhances data processing speed and reliability for applications like autonomous driving, real-time traffic management, and infotainment systems. …”
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Energy- and Resource-Aware Computation Offloading for Complex Tasks in Edge Environment by Kai Peng, Bohai Zhao, Shengjun Xue, Qingjia Huang

“…Fortunately, mobile edge computing (MEC) has been recognized as a promising technology which brings abundant resource at the edge of mobile network enabling mobile devices to overcome the resource and capacity constraints. …”
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