Research on the rapid diagnosis method for hunting of high-speed trains by Wanru Xie, Yixin Zhao, Gang Zhao, Fei Yang, Zilong Wei, Jinzhao Liu

“…Therefore, it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications. Design/methodology/approach – First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. …”
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Abnormal Load Variation Forecasting in Urban Cities Based on Sample Augmentation and TimesNet by Yiyan Li, Zizhuo Gao, Zhenghao Zhou, Yu Zhang, Zelin Guo, Zheng Yan

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Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity by Xuanli WU, Xu CHEN

“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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Power distribution strategy for a hybrid energy storage system suitable for wind-storage microgrid by LI Yanbo, YANG Kai, CHEN Junshuo, YAO Bobin, LIU Weiyu, WU Qisheng

“…Based on a hybrid energy storage system composed of supercapacitors and batteries, a complementary ensemble empirical mode decomposition method is proposed to smooth the power fluctuations caused by the instability of wind power generation. …”
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Application of optimized VMD in fault diagnosis of motor bearings of high-speed train by WANG Tao, SHI Yongjin, LI Jiwei, WANG Jinping

“…Verification by simulation signals and experimental signals shows that the method can more accurately identify the resonance frequency band under the condition of low signal-to-noise ratio, and accurately decompose the signal, which improves the accuracy and adaptability of the VMD algorithm.…”
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Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity by Xuanli WU, Xu CHEN

“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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Research on Sleep Stage Classification of Electroencephalogram Signals Based on CNN and LSTM by Liying Zhu, Qingxin Guan, Yunqing Liu, Jiayue Xu, Sha Ma

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Multi-objective stochastic model optimal operation of smart microgrids coalition with penetration renewable energy resources with demand responses by Ali Abdolahzadeh, Amir Hassannia, Farhoud Mousavizadeh, Mohammad Tolou Askari

“…A key innovation of this study is the development of an advanced hybrid solution methodology, combining the ε-constraint method for multi-objective optimization with Benders decomposition for computational efficiency. …”
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Comprehensive thermal properties, kinetic, and thermodynamic analyses of biomass wastes pyrolysis via TGA and Coats-Redfern methodologies by Ocident Bongomin, Charles Nzila, Josphat Igadwa Mwasiagi, Obadiah Maube

“…This study comprehensively analyzes the thermal decomposition characteristics as well as the kinetic and thermodynamic parameters of five biomass wastes, including coffee husk, groundnut shell, macadamia nutshell, rice husk, and tea waste, using Thermogravimetric Analysis (TGA) and the Coats-Redfern method. …”
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SMART: Structured Missingness Analysis and Reconstruction Technique for credit scoring by Seongil Han, Haemin Jung, Paul D. Yoo

“…Recent advancements have introduced more sophisticated techniques, such as Generative Adversarial Imputation Networks (GAIN), which utilize a generative adversarial network to model data distributions and impute missing values with greater precision than conventional methods. …”
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Geospatial patterns and socioeconomic determinants of the global acute viral hepatitis burden by Ke-Jie He, Guoyu Gong

“…Decomposition analysis demonstrated that population growth was the leading driver of the increasing global burden across all hepatitis subtypes, particularly in low-SDI and low-middle SDI countries, whereas epidemiological improvements were more prominent in high-SDI countries for hepatitis B and C. …”
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Combined wideband speech enhancement method based on statistical model and EMD by Xuan ZHOU, Chang-chun BAO, Bing-yin XIA

“…A combined wideband speech enhancement method based on statistical model and empirical mode decomposition (EMD) was proposed.First,statistical model was used to eliminate the main noise component in noisy speech.Then,the residual noise was further suppressed by a post-processing module which is a speech enhancement algorithm with voice activity detection (VAD) based on EMD.The advantages of the two methods were combined effectively.The performance of the proposed method was evaluated under the standard of ITU-T G160.The experimental results indicate that the algorithm is more effective for improving the SNR in the different noise environments than classical statistical model approach.Meanwhile,in low SNR conditions,musical noise is reduced effectively,and the speech sounds more comfortable.…”
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A Comparative Approach to the Solution of the Zabolotskaya-Khokhlov Equation by Iteration Methods by Saeed Ahmed, Muhammad Kalim

“…We employed different iteration methods like Homotopy Analysis Method (HAM), Adomian Decomposition Method (ADM), and Variational Iteration Method (VIM) to find the approximate solution to the Zabolotskaya-Khokhlov (ZK) equation. …”
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Research on de-noising method of optical fiber grating sensing signal based on S-G and CEEMDAN technology by HUANG Gang, PAN Like, HE Chengzhang, YANG Chengfeng, LI Zhong, GONG Shaokang

“…Aiming at the problems of low accuracy and poor reliability of existing signal de-noising methods in the signal processing of fiber Bragg grating sensing system, based on the principle of fiber Bragg grating sensing, a signal de-noising method of fiber Bragg grating sensing system combining complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method and S-G filtering method is proposed. …”
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Investigation of the Effectiveness of Programs Optimization Methods for Parallel Computing Systems with GPU by A. Yu. Bezruchenko, V. A. Egunov

“…The paper defines the relevance of the task of increasing the efficiency of software, which in this case is understood as reducing the operating time of the designed software in the process of solving computationally complex problems. Method. As an example of such a task, the implementation of the singular value decomposition by the Jacobi method is used. …”
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Laser Doppler Signal Denoising Based on Wavelet Packet Thresholding Method by Da Zhang, Ranglei Liu

“…In order to restrain the noise interference and improve the precision of signal processing, wavelet packet threshold denoising methods are proposed. Based on the analysis of Doppler signal, appropriate threshold function and decomposition layer number are selected. …”
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External barycentric coordinates for arbitrary polygons and an approximate method for calculating them by Ivan S. Polyansky

“…The author of the article hopes that the detailed results of the algorithmic implementation of the calculation of external barycentric coordinates will arouse interest and make the publication material more accessible to a wide range of readers, which will lead to the development of the barycentric method in solving boundary and initial boundary value problems of mathematical physics.…”
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Presence and detection methods of pseudo-periods in GNSS coordinate time series by Kaichun Yang, Hua Chen, Zhao Li, Jian Wang, Xin Ding, Weiping Jiang

“…Based on this observation, we proposed the AIC_diff (Akaike Information Criterion Difference) pseudo-period detection method with the threshold as −5, indicating that the signal is more likely to be a pseudo-period, if the AIC_diff exceeds −5. …”
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A simple method for mapping microplastics filter collectors for microscopic analyses by MARCO ANTONIO S. SILVA, GUILHERME DOGNANI, ANDRÉ LUIZ L. DE FARIA, EDUARDO NERY D. DE ARAUJO, MITCHAEL MICAEL S. GOMES, CARLOS JOSÉ L. CONSTANTINO, JOSÉ TADEU G. TOMMASELLI, JOÃO OSVALDO R. NUNES

“…Abstract Microplastic has stood out as one of the main contaminants derived from plastic wastes due to its slow decomposition rate and dangers to the aquatic environment, the ecosystem, and even human health. …”
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Polarimetric SAR Ship Detection Using Context Aggregation Network Enhanced by Local and Edge Component Characteristics by Canbin Hu, Hongyun Chen, Xiaokun Sun, Fei Ma

“…Polarimetric decomposition methods are widely used in polarimetric Synthetic Aperture Radar (SAR) data processing for extracting scattering characteristics of targets. …”
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