Stochastic gradient descent algorithm preserving differential privacy in MapReduce framework by Yihan YU, Yu FU, Xiaoping WU

“…Aiming at the contradiction between the efficiency and privacy of stochastic gradient descent algorithm in distributed computing environment,a stochastic gradient descent algorithm preserving differential privacy based on MapReduce was proposed.Based on the computing framework of MapReduce,the data were allocated randomly to each Map node and the Map tasks were started independently to execute the stochastic gradient descent algorithm.The Reduce tasks were appointed to update the model when the sub-target update models were meeting the update requirements,and to add Laplace random noise to achieve differential privacy protection.Based on the combinatorial features of differential privacy,the results of the algorithm is proved to be able to fulfill ε-differentially private.The experimental results show that the algorithm has obvious efficiency advantage and good data availability.…”
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Application of MRI image segmentation algorithm for brain tumors based on improved YOLO by Tao Yang, Xueqi Lu, Lanlan Yang, Miyang Yang, Jinghui Chen, Hongjia Zhao

“…ObjectiveTo assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.MethodsThe research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. …”
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Clustering Algorithm for Urban Taxi Carpooling Vehicle Based on Data Field Energy by Xiao Qiang, Yao Shuang-Shuang

“…The clustering results of the proposed algorithm are better than those of the classical clustering algorithm. …”
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8～64kbit/s super-wideband embedded speech and audio coding algorithm by JIA Mao-shen, BAO Chang-chun, LI Rui

“…Based on the international telecommunication union telecommunication standardization sector （ITU-T） recommendation G.729.1 and modified modulated lapped transform （MLT） coding, a super-wideband embedded variable bit-rate speech and audio coding algorithm was proposed, the bit-rates of this codec was from 8kbit/s to 64kbit/s. …”
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Rapid IO routing strategy based on improved glowworm swarm optimization algorithm by Congyue YIN, Xingming ZHANG, Quan REN, Shuai WEI

Subjects: “…glowworm swarm optimization algorithm…”
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Hybrid Projection Algorithm for Two Countable Families of Hemirelatively Nonexpansive Mappings and Applications by Zi-Ming Wang, Poom Kumam

“…Two countable families of hemirelatively nonexpansive mappings are considered based on a hybrid projection algorithm. Strong convergence theorems of iterative sequences are obtained in an uniformly convex and uniformly smooth Banach space. …”
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Small target detection in UAV view based on improved YOLOv8 algorithm by Xiaoli Zhang, Guocai Zuo

“…In order to solve these problems, a small target detection method based on the improved YOLOv8 algorithm for UAV viewpoint is proposed. The following improvements are made to the YOLOv8n model. …”
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Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption by Chao Li, Mengna Shi, Yanqi Zhou, Erfu Wang

“…Finally, the signal is extracted using the Levi flight strategy based on kurtosis and the quantum particle swarm optimization optimized by the greedy algorithm (KLG-QPSO). The bit error rate and similarity coefficient of the voice signal are extracted by testing the source voice signal SA1, SA2, and SI943 under different SNR, and the similarity coefficient, uncertainty, and disorder of the observed signal and the source voice signal SA1, SA2, and SI943 verify the effectiveness of the proposed speech signal extraction method and the security of quantum chaos used in speech signal encryption.…”
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Research on Security Algorithm for Crossing Heterogeneous Network Based on Unified Communication Technology by Yingying Chen, Geng Zhang, Mingyue Di, Jie Li, Meilin Dang, Guilan Xing

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Strong Convergence Algorithm for Split Equilibrium Problems and Hierarchical Fixed Point Problems by Abdellah Bnouhachem

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Retracted: Time Series Symbolization Method for the Data Mining K-Means Algorithm by Discrete Dynamics in Nature and Society

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Model-Based Control with Active Disturbance Rejection Algorithm for a Diesel Engine by Shun-Liang Ding, Shuai-Feng He, Bi-Qing Tu, Jin-Jin Liu, Yu-Yuan Wang, En-Zhe Song

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Improved machine classification algorithm for electric rail circuits in train warning systems by I. V. Prisukhina, D. V. Borisenko

“…There are known algorithms that implement the classification of code signals in an electric rail circuit. …”
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A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization by Gaige Wang, Lihong Guo

“…A novel robust hybrid metaheuristic optimization approach, which can be considered as an improvement of the recently developed bat algorithm, is proposed to solve global numerical optimization problems. …”
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Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution by Songbai LIANG, Feng CHEN, Haiping SONG, Wensheng LI

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Energy efficient cooperative spectrum sensing algorithm in cognitive wireless sensor networks by Gui-cai YU, Cheng-zhi LONG, Man-tian XIANG

“…The analy-sis and simulation results show that the proposed algorithm can effectively reduce total energy consumption in cognitive sensor networks, improve energy efficiency.…”
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Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory by Ya-jian ZHOU, Kai LIU, Lin XIAO

“…A weighted cooperative spectrum sensing algorithm based on D-S evidence theory (DS-WCSS) was proposed.The algorithm took energy detector to perform local spectrum sensing,evaluated the credibility difference of cognit ve users according to the means and variances of test statistic in both hypotheses,set credibility weights based on the evaluation of credibility difference,and finally used D-S evidence theory to fuse data and made a decision.Simulation results show that the proposed algorithm has better performance than cooperative spectrum sensing algorithm based on D-S evidence theory and traditional hard-decisions.…”
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One-bit maximum likelihood algorithm for sensor networks in non-ideal channels by Nana WANG, Zhaoting LIU, Yingbiao YAO

“…Wireless sensor networks typically consist of wireless sensor nodes that are distributed in a certain spatial range.In general,the energy storage,computing and communication capabilities of nodes are extremely limited.Direct transmission of the sampled signals of the various nodes to the fusion center will result in more energy consumption and greater network communication load.If the sampled signal value of each sensor node is compressed into a one-bit measurement value and then transmitted,the energy consumption and the communication load can be greatly reduced.The parameter estimation problem based on one-bit measurement of sensor networks in multiplicative noise environment was studied.Considering the non-ideal binary channel with interference between the node and the fusion center,a parameter estimation algorithm based on maximum likelihood was proposed,Cramér-Rao lower bound of the parameter estimation was analyzed,and the effectiveness of the algorithm was verified through a series of simulation experiments.…”
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Bioinspired Evolutionary Algorithm Based for Improving Network Coverage in Wireless Sensor Networks by Mohammadjavad Abbasi, Muhammad Shafie Bin Abd Latiff, Hassan Chizari

“…We discuss area coverage and target detection model by evolutionary algorithm.…”
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Variable granularity service function chain mapping algorithm based on microservice architecture by Xiaochun WU, Chen HONG, Yue ZHANG, Junnan ZHANG, Jingjing ZHOU

“…For the problem that the end-to-end delay of the service function chain (SFC) cannot meet the demand of delay-sensitive applications in 5G environment, a variable granularity service function chain mapping (VG-SFCM) algorithm based on microservice architecture was proposed by splitting the traditional virtualized network function (VNF) into mapping units of varying granularity.Firstly, the traditional coarse-grained VNF was decoupled into fine-grained microservice units, and then the instantiation of microservice units was reduced through the consolidation of redundant microservice units within SFC and the reuse of microservice units between SFC, thus reducing the processing time of SFC.The simulation results show that the algorithm reduces the end-to-end delay of SFC by 14.81% compared to the traditional mapping algorithm while reducing the average deployment network cost.…”
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