Pilot spoofing detection algorithm for edge nodes based on heterogeneous pilot energy estimation by Shiguo WANG, Shujuan TIAN, Qingyong DENG

“…For the federated learning scenarios with edge-end cooperation, edge servers and device terminals update their models and exchange gradient parameters frequently, and hence eavesdroppers can manipulate channel estimation through pilot spoofing to intercept the transmitted information and reduce the update efficiency of federated learning model.Therefore, a pilot attack detection algorithm with heterogeneous pilot energy estimation was proposed.Firstly, a federated learning pilot attack system model was constructed after the security of pilot attacks on data transmission had been analyzed.Then, a pilot attack detection method based on random segmentation and encryption methods was proposed to detect the pilot spoofing accurately and the contaminated channel could be recovered as well.Experimental results show that the proposed algorithm is more suitable for detecting pilot attacks with low transmit power and strong concealment compared to other existing algorithms.Furthermore, the data transmission rate of edge servers is improved significantly through the precoding based on the recovered channel state information.…”
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Extraction of the Optimal Parameters of Single-Diode Photovoltaic Cells Using the Earthworm Optimization Algorithm by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

“…In a similar vein, the algorithm imitates this capability by avoiding the problem of concentrating on a local solution. …”
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The Pseudoinverse Gradient Descent Method with Eight Branch Directions (8B-PGDM): An Improved Dead Reckoning Algorithm Based on the Local Invariance of Navigation by Jialong Gao, Quan Liu, Hanqiang Deng, Lei Sun, Jian Huang, Ming Lei

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The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System by Yanyan Zhang

“…Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential influence relationship between different knowledge points that affect the improvement of learning quality. …”
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Models and algorithms for decision support and their use in the simulator training of air traffic control specialists by A. M. Matskevich

“…Adaptation of these models and algorithms will automate the instructor’s position and ensure the dynamism of the system in the field of replenishment of possible air traffic options.…”
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An Efficient Computational Algorithm for the Nonlocal Cahn–Hilliard Equation with a Space-Dependent Parameter by Zhengang Li, Xinpei Wu, Junseok Kim

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Different orthology inference algorithms generate similar predicted orthogroups among Brassicaceae species by Irene T. Liao, Karen E. Sears, Lena C. Hileman, Lachezar A. Nikolov

“…Abstract Premise Orthology inference is crucial for comparative genomics, and multiple algorithms have been developed to identify putative orthologs for downstream analyses. …”
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A Variant of the Growing Neural Gas Algorithm for the Design of an Electric Vehicle Charger Network by Manuel Curado, Diego Hidalgo, Jose L. Oliver, Leandro Tortosa, Jose F. Vicent

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Modelling Soil Water Retention Using Support Vector Machines with Genetic Algorithm Optimisation by Krzysztof Lamorski, Cezary Sławiński, Felix Moreno, Gyöngyi Barna, Wojciech Skierucha, José L. Arrue

“…Studies demonstrated usability of ν-SVM methodology together with genetic algorithm optimisation for retention modelling which gave better performing models than other tested approaches.…”
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Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

“…Therefore, the aforementioned parameters are used as variables, and the three important indicators are taken as the objective function. The structural composition of the neutron extraction pipeline was optimized through theoretical simulation, coupled with a genetic algorithm and Monte Carlo code. …”
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Preliminary analysis of salivary microbiota in catathrenia (nocturnal groaning) using machine learning algorithms by Min Yu, Yujia Lu, Wanxin Zhang, Xu Gong, Zeliang Hao, Liyue Xu, Yongfei Wen, Xiaosong Dong, Fang Han, Xuemei Gao

“…Among the most important genera in catathrenia and control classification identified by machine learning algorithms, four genera, Alloprevotella, Peptostreptococcaceae_XI_G1, Actinomyces and Rothia, changed significantly with MAD treatment. …”
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Research on online modeling of multiple demonstration trajectories for robots based on composite movement primitives by LI Zhiyong, YAN Bin, HUANG Xiaoping, LIU Changsheng, MA Cunguo, LIU Tundong

“…ObjectiveAiming at the problems of low parameter estimation efficiency and lack of multi-trajectory modeling ability in traditional robot demonstration learning algorithm, an online modeling method of robot multiple demonstration trajectories based on composite dynamical movement primitives was proposed.MethodsGaussian mixture model was used to model multi-demonstration trajectory in the composite algorithm. …”
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A Novel Hybrid Genetic Modified Colliding Bodies Optimization for Designing of Composite Laminates by Mojtaba Sheikhi Azqandi

“…For evaluating the performance of the proposed method, the optimal design of laminated composite materials has been considered. Compare the results of structural analysis with GMCBO and other optimization methods shows a high convergence rate and its ability to find the global optimal solution of the proposed algorithm for structural optimization problems.…”
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Fault Prediction of Bearing Based on Dual Dimensional Perception and Composite Gated Recurrent Network by Wang Weiping, Xue Shibei

“…After fusion and feature principal component extraction of the aforementioned two-dimensional data, the proposed composite gated recurrent network model with algorithm level attention enhancement is used for degradation state fitting identification research. …”
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Prediction and dynamic optimization of drilling performance based on the combination of mineral composition and operational factors by Xiong Xiuli, Li Qian, Liu Junhao, Jiang Jie

“…The input parameters of this function consist of mineral composition and operating factors. Predicting drilling performance from the combination of mineral composition and operating factors is a typical multivariate nonlinear fitting problem. …”
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Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces by Tianshi Yu, Alireza Mohammadi, Ying Tan, Peter Choong, Denny Oetomo

“…The problem is solved by the proposed Sensor Selection with Composite Features (SS-CF) algorithm which adapts convex-relaxation techniques. …”
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Using selective NIR wavelengths in portable devices to evaluate the chemical composition of cattle feeds by Lorenzo Serva, Luisa Magrin, Giovanni Chillemi, Giorgio Marchesini, Daniele Pietrucci, Francesco Renzi, Riccardo Valentini, Igino Andrighetto, Marco Milanesi

“…In modern cattle nutrition, the estimation of chemical composition must be accurate, rapid, and available throughout the farm feeding process. …”
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SCREENING ELECTROMAGNETIC FIELDS BY MEANS OF SCREENS FROM MATRIX COMPOSITES, CONTAINING BIISOTROPIC FRACTIONS by V. T. Erofeenko, V. F. Bondarenko

“…The procedure is based on the algorithm of effective material parameters calculation for averaged biisotropic medium equivalent to matrix composite of the screen. …”
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Improved Method of Interval valued neutrosophic matrix composition and Its Application in Medical Diagnosis by S. Sathiya, A. Puspalatha

“…Finally, a decision-making algorithm based on IVN matrix composition has been proposed to solve problems with disease diagnosis from the manifestation of different symptoms in individuals and successfully applied in the field of medical diagnosis.…”
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Finite element modelling and experimental study on static deflection and vibration of piezoelectric composite plates by Tran Ich Thinh, Le Kim Ngoc

“…A finite-element model based on the First-Order Shear Deformation Theory is developed for the static flexural shape and vibration control of a glass fibre/polyester composite plate bonded piezoelectric actuator and sensor patches. …”
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