Trusted measure model for the communication network system by Senxin ZHOU, Jianghong HAN, Yaohui ZHANG, Chao LI

“…The trusted measure model for communication was proposed by computing its value of security,control and survivability with continuous-time reward Markov method.The“state bomb”problem in traditional state analysis method was solved by the way of structural equation solution.The generic function optimization algorithm was used to reduce computational complexity.Simulation experiments show that the model is correct and feasible.…”
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New Iterative Method: An Application for Solving Fractional Physical Differential Equations by A. A. Hemeda

“…The new iterative method with a powerful algorithm is developed for the solution of linear and nonlinear ordinary and partial differential equations of fractional order as well. …”
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Control and diagnostics of faults in hardware-software complex by D. A. Pankov, L. A. Denisova

“…Questions of test simulation of malfunctions describe automation testing of products at the stage of development. Program and algorithmic modules of control and diagnostics is used for the approach to fault detection of hardwaresoftware complex. …”
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Sensitivity Analysis of P-Wave Polarization Direction and Velocity Gradient Inversion by Jingru Zhao, Xili Jing, Zhiyong Yin, Mengyu Fang, Shan Gao, Tianrun Zhang

“…Based on this analysis, adjustment factors are introducing to the polarization direction inversion algorithm for correctly inverting polarization direction data. …”
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A Semi-Analytical Method for the Identification of DC-Decay Parameters at an Arbitrary Rotor Position in Large Synchronous Machines by Zhenming Lai, Haoyu Kang, Demin Liu, Zhichao Wang, Yong Yang, Jin Wang

“…Meanwhile, combining the transient analysis theory and particle swarm optimization algorithm, a semi-analytical parameter identification method is proposed. …”
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Optimal design and operation of a wind farm/battery energy storage considering demand side management by Siyu Tao, Chaohai Zhang, Andrés E. Feijóo‐Lorenzo, Victor Kim

“…It is tackled by the mixed‐discrete particle swarm optimization algorithm. The multi‐objective optimization problem (MOOP) model in the second level determines the operation schedule of the WF/BES and other generators taking the DSM into consideration. …”
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Development and validation of a new nomogram for self-reported OA based on machine learning: a cross-sectional study by Jiexin Chen, Qiongbing Zheng, Youmian Lan, Meijing Li, Ling Lin

“…LASSO regression, XGBoost algorithm, and RF algorithm were used to identify significant indicators, and a OA prediction nomogram was developed. …”
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Measurement of Microvibration by Using Dual-Cavity Fiber Fabry-Perot Interferometer for Structural Health Monitoring by Dae-Hyun Kim, Jin-Hyuk Lee, Byung-Jun Ahn

“…In this paper, a dual-cavity fiber Fabry-Perot interferometer was proposed with a phase-compensating algorithm for measuring micro-vibration. The interferometer has structurally two arbitrary cavities; therefore the initial phase difference between two sinusoidal signals induced from the interferometer was also arbitrary. …”
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A Fast Optimization Method for Reliability and Performance of Cloud Services Composition Application by Zhao Wu, Naixue Xiong, Yannong Huang, Qiong Gu, Chunyang Hu, Zhongbo Wu, Bo Hang

“…Based on this, a fast reliability and performance optimization algorithm is presented. In the end, the illustrative examples are given.…”
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EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials by Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada

“…In the present work, we propose a method for classifying P300 ERPs using a combination of Fisher Discriminant Analysis (FDA) and a multiobjective hybrid real-binary Particle Swarm Optimization (MHPSO) algorithm. Specifically, the algorithm searches for the set of EEG channels and classifier parameters that simultaneously maximize the classification accuracy and minimize the number of used channels. …”
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Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests by Piervincenzo Rizzo, Marcello Cammarata, Ivan Bartoli, Francesco Lanza di Scalea, Salvatore Salamone, Stefano Coccia, Robert Phillips

“…The prototype includes an algorithm based on wavelet transform and outlier analysis. …”
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Inverse and Forward Kinematics and CAD-Based Simulation of a 5-DOF Delta-Type Parallel Robot with Actuation Redundancy by Pavel Laryushkin, Anton Antonov, Alexey Fomin, Oxana Fomina

“…Numerical simulations illustrate the algorithm and show how the actuated coordinates change along the considered trajectory. …”
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Experimental validation of the analytical modelling of a digitally created duffing acoustic nonlinear oscillator at low amplitudes by Morell Maxime, Collet Manuel, Gourdon Emmanuel, Ture Savadkoohi Alireza, De Bono Emanuele

“…The experimental implementation is done using a real-time-based algorithm retrieving the measured pressure from a microphone and giving the electrical current to send to a loudspeaker as an output thanks to a Runge-Kutta-like algorithm. …”
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Complex-Valued CNN Nonlinear Equalization Enabled 36-Tbit/s (45×800-Gbit/s) WDM Transmission Over 3150 Km Using Silicon-Based IC-TROSA by Yuhan Gong, Xiaoshuo Jia, Ying Zhu, Kailai Liu, Ming Luo, Jin Tao, Zhixue He, Chao Li, Zichen Liu, Yan Li, Jian Wu, Chao Yang

“…To maintain system performance under low-cost conditions, the silicon-based integrated coherent transmit and receive optical sub-assembly (IC-TROSA) and the complex-valued convolutional neural network (CVCNN) algorithm provide an effective solution for high-capacity and long-distance WDM optical transmission. …”
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Stripe segmentation of oceanic internal waves in SAR images based on SegFormer by Hong-Sheng Zhang, Ji-Yu Sun, Kai-Tuo Qi, Ying-Gang Zheng, Jiao-Jiao Lu, Yu Zhang

“…In addition, we discuss the results of oceanic internal wave detection under varying settings, further underscoring the effectiveness of the algorithm.…”
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Application research of convolutional neural network and its optimization in lightning electric field waveform recognition by Caixia Wang, Xiaoyi Zhang, Hui Yang, Jinyuan Guo, Jia Xu, Zhuling Sun

“…The results indicate that the CNN algorithm is suitable for the classification and recognition of lightning electric field (LEF) waveforms. …”
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Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR by Yi Zhong, David Utriainen, Ying Wang, Yan Kang, E. Mark Haacke

“…The data from the automated algorithm showed good agreement with that from the manual segmentation. …”
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

“…Additionally, a sequential model‐based algorithmic configuration optimizes bidirectional gating recurrent unit's network hyperparameters. …”
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Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification by Qingshan She, Haitao Gan, Yuliang Ma, Zhizeng Luo, Tom Potter, Yingchun Zhang

“…While the noise-assisted multivariate empirical mode decomposition (NA-MEMD) algorithm has been utilized to extract task-specific frequency bands from all channels in the same scale as the intrinsic mode functions (IMFs), identifying and extracting the specific IMFs that contain significant information remain difficult. …”
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A novel solar radiation forecasting model based on time series imaging and bidirectional long short‐term memory network by Zhaoshuang He, Xue Zhang, Min Li, Shaoquan Wang, Gongwei Xiao

“…First, inspired by the computer vision algorithm, the recursive graph algorithm is used to transform the one‐dimensional time series into two‐dimensional images, and then convolutional neural network is used to extract the features from the images, thus, the deeper features in the original solar radiation data can be mined. …”
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