Energy-Efficient Resource Allocation in Mobile Edge Computing Using NOMA and Massive MIMO by Qusay Alghazali, Husam Al-Amaireh, Tibor Cinkler

“…This work addresses the critical challenge of energy consumption in Mobile Edge Computing (MEC), a burgeoning field that extends cloud computing capabilities to the edge of cellular networks. …”
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A Prototype for Computing the Distance of Features of High-Pressure Die-Cast Aluminum Products by Luis Alberto Arroniz Alcántara, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, José Alejandro Fernández Ramírez

“…In response, suppliers must react by improving the flexibility of their means of production and making the changeover process more efficient and agile to avoid monetary losses. …”
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An Integrated Node Selection Model Using FAHP and FTOPSIS for Data Retrieval in Ubiquitous Computing by Belal Z. Hassan, Ahmed. A. A. Gad-Elrab, Mohamed S. Farag, Shaban E. Abo Youssef

“…Ubiquitous computing (UC) is an advanced computing concept that makes services and computing available everywhere and anytime. …”
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APPLICATION OF GPU-CUDA PARALLEL COMPUTING TO THE SMITH-WATERMAN ALGORITHM TO DETECT MUSIC PLAGIARISM by Alfredo Gormantara, Ferdianto Tangdililing, Sean Coonery Sumarta

“…Therefore, the innovation raised in this study is to speed up the computing process in detecting music plagiarism by applying parallel computing to the Smith-Waterman algorithm. …”
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Computing ionization free energies of indicator dyes in micelles with fast growth alchemical transformation by Volodymyr Farafonov

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Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization by Raman Dugyala, Premkumar Chithaluru, M. Ramchander, Sunil Kumar, Arvind Yadav, N. Sudhakar Yadav, Diaa Salama Abd Elminaam, Deema Mohammed Alsekait

“…Abstract Over the past two decades, cloud computing has experienced exponential growth, becoming a critical resource for organizations and individuals alike. …”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

“…The study explores resource allocation in Federated Machine Learning (FedML) for the Industrial Internet of Things (IIoT), focusing on efficient and privacy-conscious data processing. It proposes optimizing the FedML training process to enhance system performance and ensure data privacy. …”
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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…A cloud computing resource scheduling algorithm based on sampled collaborative knowledge graph network is designed to address the issues of lag in the process of cloud computing resource scheduling, high overall load rate, and large transient amplitude and phase errors. …”
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CMOS‐Compatible HfOx‐Based Radiation Hardening Component for Neuromorphic Computing Applications by Yao‐Feng Chang, Yifu Huang, Chin‐Han Chung, Ying‐Chen Chen

“…Abstract HfOx‐based resistive random‐access‐memory (ReRAM) devices (TiN/Ti/HfOx/RuOx/TiN) are fabricated by CMOS‐compatible materials (ruthenium (Ru)) and lithography‐lite process, potentially enabling a maskless, etching‐free process that can be implemented in the low earth orbit (LEO), the International Space Station (ISS), and commercial LEO destinations (CLDs). …”
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ISEE: Industrial Internet of Things perception in solar cell detection based on edge computing by Meiya Dong, Jumin Zhao, Deng-ao Li, Biaokai Zhu, Sihai An, Zhaobin Liu

“…Then it uses the powerful neural network processing unit module of the edge computing unit, combined with the convolutional neural network algorithm transplanted to the edge, to detect the defects of solar panels in real time. …”
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Trusted computing mobile terminal application research based on biometric trusted access protocol by Jun XU

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Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices. by Waldemar W Koczkodaj, Witold Pedrycz, Alexander Pigazzini, Laura P Pigazzini

“…A biomimetic model is presented to compute missing data imputation and reduce inconsistencies in pairwise comparisons matrices. …”
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Reservoir Computing Based on Two Parallel Reservoirs Under Identical Electrical Message Injection by Dian-Zuo Yue, Zheng-Mao Wu, Yu-Shuang Hou, Chun-Xia Hu, Zai-Fu Jiang, Guang-Qiong Xia

“…In this work, we propose and numerically investigate a scheme for reservoir computing (RC) based on two parallel reservoirs under identical electrical message injection, in which two semiconductor lasers (SLs) under optical feedback are utilized as two parallel reservoirs. …”
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Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

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Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete by Waleed Bin Inqiad, Muhammad Faisal Javed, Deema Mohammed Alsekait, Naseer Muhammad Khan, Majid Khan, Fahid Aslam, Diaa Salama Abd Elminaam

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Privacy-preserving indoor localization scheme based on Wi-Fi fingerprint with outsourced computing by Yinghui ZHANG, Sirui ZHANG, Qiuxia ZHAO, Xiaokun ZHENG, Jin CAO

“…To solve the privacy-preserving problem of both the user and the server in indoor positioning, outsourcing part of the calculation to cloud server in the process of using Paillier encryption was considered.The scheme not only protected the privacy of the user and the positioning server, but also avoided excessive computing and communication overhead.The main idea of the scheme was that the fingerprint database in the offline stage was established by the server firstly.The k-anonymity algorithm was combined with Paillier encryption in the online stage by the user, and the encrypted Wi-Fi fingerprints were sent to the positioning server.An aggregation of the received Wi-Fi fingerprints and database fingerprints were performed by the server.Then they were outsourced to the cloud server for decryption and distance calculation by the positioning server.Finally, the positioning result was obtained.Theoretical analysis and experimental results show that the proposed scheme is safe, effective and practical.…”
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Privacy-preserving indoor localization scheme based on Wi-Fi fingerprint with outsourced computing by Yinghui ZHANG, Sirui ZHANG, Qiuxia ZHAO, Xiaokun ZHENG, Jin CAO

“…To solve the privacy-preserving problem of both the user and the server in indoor positioning, outsourcing part of the calculation to cloud server in the process of using Paillier encryption was considered.The scheme not only protected the privacy of the user and the positioning server, but also avoided excessive computing and communication overhead.The main idea of the scheme was that the fingerprint database in the offline stage was established by the server firstly.The k-anonymity algorithm was combined with Paillier encryption in the online stage by the user, and the encrypted Wi-Fi fingerprints were sent to the positioning server.An aggregation of the received Wi-Fi fingerprints and database fingerprints were performed by the server.Then they were outsourced to the cloud server for decryption and distance calculation by the positioning server.Finally, the positioning result was obtained.Theoretical analysis and experimental results show that the proposed scheme is safe, effective and practical.…”
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Blockchain-based computing and wireless communication resource joint management double auction model by Yan SUN, Ao XIONG, Chengling JIANG, Wei WANG, Dongxiao YU, Shaoyong GUO

“…In wireless communication networks, the stock of spectrum, computing, storage and other resources at the edge was limited.The traditional decentralized and exclusive resource allocation resulted in weak resource reuse capability and low utilization rate.At the same time, it was difficult to ensure the fairness of resource sharing in the traditional resource scheduling process due to the lack of trust between the owners.First, a double auction model of computing and wireless communication resource joint management based on blockchain was proposed.In the model, a resource market was established, in which resource buyers and sellers allocated resources through double auctions.Secondly, blockchain was used to store the resource information of buyers and sellers to solve the mutual trust problem of all parties in the network.Finally, the experimental simulation was carried out to verify that the proposed model effectively improved the system performance and resource utilization efficiency.…”
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Computing feature matrices using PCA-SVD hybrid method on small-scale systems by Le Tien Hung, Vu Minh Trong, Phan Viet Thanh, Nguyen Le Van

“…This paper aims to develop an effective method for reduction and decomposition on large matrices with low required computational resources and fast processing times. Our contribution is to design a PCA-SVD hybrid method that divides the feature extraction into two phases: PCA-based size reduction and SVD-based decomposition. …”
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Reservoir Computing for Few-Mode Fiber Channel OSNR Monitoring in Deep Learning Frameworks by Jianjun Li, Tianfeng Zhao, Baojian Wu, Kun Qiu, Feng Wen

“…This paper presents a novel optical performance monitoring (OPM) scheme based on reservoir computing (RC) and Resnet network for monitoring the optical signal-to-noise ratio (OSNR) of few-mode transmission channels, without the need for any demodulation process. …”
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