Data management based on blockchain and edge computing for Internet of things by Guanjie CHENG, Zhengjie HUANG, Shuiguang DENG

“…The popularity of smart devices has driven the development of the application of Internet of things (IoT) technology,and the resulting massive amount of IoT data has brought challenges to traditional centralized data management methods,such as performance,privacy,and security.Therefore,a data management framework of IoT based on blockchain and edge computing was proposed to support the distributed IoT data management.The distributed storage and access control could be provided by the framework for the IoT data.At the same time,a set of the built-in encryption scheme was designed to protect the data security and privacy and safeguard the data ownership.By introducing edge computing,the scalability bottleneck of the blockchain the system was relieved.The processes of data storage and data access based on this framework were given,and the algorithm of the system implementation based on the smart contract technology was explained in detail.Experiments show that the IoT data management system based on this framework outperforms the traditional cloud-based data management systems.…”
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Digital Edge Detection Based Pneumonia Detection in Chest Radiographs by Poola Rahul Gowtham, Kommineni Prema Teja, Lahari P.L, Yellampalli Siva Sankar

“…Despite this, X-ray images have the tendency of noise and spatial aliasing that tend to cause blurring of some boundaries, thus the importance of having a better edge detection algorithm is more warranted. The article presents a SIMULINK-based model for the process of edge detection, testing the performance of Canny, Laplacian of Gaussian, Prewitt, Sobel and Robert algorithms and most importantly their simulated results. …”
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Landslide at the River’s Edge: Alum Bluff, Apalachicola River, Florida by Joann Mossa, Yin-Hsuen Chen

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Stochastic shielding and edge importance for Markov chains with timescale separation. by Deena R Schmidt, Roberto F Galán, Peter J Thomas

“…We exhaustively investigate this "edge importance reversal" phenomenon in simplified 3-state models, and obtain an exact formula for the contribution of each edge to the variance of the open state. …”
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Optimized AlexNet Pruning for Edge-Based Medical Diagnostics by Yasser A. Amer, Hassan I. Saleh, Omar A. Nasr

“…This balance demonstrates the feasibility of deploying pruned DNNs for real-time, edge-based medical diagnostics without compromising diagnostic precision. …”
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RETRACTED: Assisting Smart Construction With Reliable Edge Computing Technology by Qiang Yue, Song Mu, Longguan Zhang, Zhun Wang, Zhun Wang, Zhonghua Zhang, Xing Zhang, Yongge Wang, Yongge Wang, Zhuang Miao, Zhuang Miao

“…However, as the amount of big data generated grows, processing and analytical issues arise. Cloud computing technologies are now being used to solve processing and analytical challenges. …”
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Current cutting-edge omics techniques on musculoskeletal tissues and diseases by Xiaofei Li, Liang Fang, Renpeng Zhou, Lutian Yao, Sade W. Clayton, Samantha Muscat, Dakota R. Kamm, Cuicui Wang, Chuan-Ju Liu, Ling Qin, Robert J. Tower, Courtney M. Karner, Farshid Guilak, Simon Y. Tang, Alayna E. Loiselle, Gretchen A. Meyer, Jie Shen

“…To address these limitations, advanced single-cell and spatial omics techniques have emerged in recent years, offering unparalleled resolution for investigating cellular diversity, tissue microenvironments, and biomolecular interactions within musculoskeletal tissues. These cutting-edge techniques enable the detailed mapping of the molecular landscapes in diseased tissues, providing transformative insights into pathophysiological processes at both the single-cell and spatial levels. …”
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The Image Detection of Pantograph Slide Based on Yang-shot Mode by 师鹏燕, 王黎, 高晓蓉, 杨凯, 周伟

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Edge Computing-Enabled Train Fusion Positioning: Modeling and Analysis by Hao Yin, Haifeng Song, Ruichao Wu, Min Zhou, Zixing Deng, Hairong Dong

“…An innovative approach, which combines multi-sensor information fusion with edge computing, is proposed to reduce the computational load on onboard systems and accelerate data processing. …”
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Edge Computing and Cloud Computing for Internet of Things: A Review by Francesco Cosimo Andriulo, Marco Fiore, Marina Mongiello, Emanuele Traversa, Vera Zizzo

“…Key findings reveal that edge computing excels in reducing latency and enhancing data privacy through localized processing, while cloud computing offers superior scalability and flexibility. …”
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Key metrics for monitoring performance variability in edge computing applications by Panagiotis Giannakopoulos, Bart van Knippenberg, Kishor Chandra Joshi, Nicola Calabretta, George Exarchakos

“…Edge computing systems typically consist of heterogeneous processing and networking components, resulting in inconsistent task performance. …”
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Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

“…To address these issues, a lightweight and edge-deployable mining AI video edge computing system was designed. …”
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Component Order Edge Connectivity, Vertex Degrees, and Integer Partitions by Michael R. Yatauro

“…Given a finite, simple graph G, the k-component order connectivity (resp. edge connectivity) of G is the minimum number of vertices (resp. edges) whose removal results in a subgraph in which every component has an order of at most k − 1. …”
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Optimization strategies in NOMA-based vehicle edge computing network by Jianbo DU, Nana XUE, Yan SUN, Jing JIANG, Shulei LI, Guangyue LU

“…Nowadays, vehicular network is confronting the challenges to support ubiquitous connections and vast computation-intensive and delay-sensitive smart service for numerous vehicles.To address these issues, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) are considered as two promising technologies by letting multiple vehicles to share the same wireless resources, and the powerful edge computing resources were adopted at the edge of vehicular wireless access network respectively.A NOMA-based vehicular edge computing network was studied.Under the condition of guaranteeing task processing delay, the joint optimization problem of task offloading, user clustering, computing resource allocation and transmission power control was proposed to minimize the task processing cost.Since the proposed problem was difficult to solve, it was divided into sub-problems, and a low-complexity and easy-to-implement method was proposed to solve it.The simulation results show that compared with other benchmark algorithms, the proposed algorithm performs well in minimizing costs.…”
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Optimization strategies in NOMA-based vehicle edge computing network by Jianbo DU, Nana XUE, Yan SUN, Jing JIANG, Shulei LI, Guangyue LU

“…Nowadays, vehicular network is confronting the challenges to support ubiquitous connections and vast computation-intensive and delay-sensitive smart service for numerous vehicles.To address these issues, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) are considered as two promising technologies by letting multiple vehicles to share the same wireless resources, and the powerful edge computing resources were adopted at the edge of vehicular wireless access network respectively.A NOMA-based vehicular edge computing network was studied.Under the condition of guaranteeing task processing delay, the joint optimization problem of task offloading, user clustering, computing resource allocation and transmission power control was proposed to minimize the task processing cost.Since the proposed problem was difficult to solve, it was divided into sub-problems, and a low-complexity and easy-to-implement method was proposed to solve it.The simulation results show that compared with other benchmark algorithms, the proposed algorithm performs well in minimizing costs.…”
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Optical Differentiation and Edge Detection Based on Birefringence of Uniaxial Crystals by Xu Chen, Ping Huang, Xuan Tang, Xunong Yi

“…Optical differential operations can directly extract edge information from images and have significant application potential in fields such as image processing and object recognition. …”
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Efficient Edge AI for Next Generation Smart Mirror Applications by Nils Kucza, Florian Porrmann, Christian Stollenwerk, Jens Hagemeyer

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Gaussian-Based Approach to Subpixel Detection of Blurred and Unsharp Edges by Anna Fabijańska

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Enabling All In-Edge Deep Learning: A Literature Review by Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully

“…To mitigate these drawbacks, considerable efforts have been made to push the processing of DL models to edge servers (a mesh of computing devices near end devices). …”
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Defect detection based on extreme edge of defective region histogram by Zouhir Wakaf, Hamid A. Jalab

“…Automatic thresholding has been used by many applications in image processing and pattern recognition systems. Specific attention was given during inspection for quality control purposes in various industries like steel processing and textile manufacturing. …”
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