Article
Materials Science, Multidisciplinary
Longfei Xie, Wenlong Zhou, Shiwen Zou
Summary: In this study, electrochemical noise analysis was used to study pitting corrosion of Ti-15-3 alloy, combined with further analysis of microstructural characterization and electrochemical impedance spectroscopy to analyze the effect of surface roughness on pitting corrosion behavior. The results showed that polished Ti-15-3 alloy exhibited better corrosion resistance and improvement in resistance to pitting corrosion. Additionally, a possible mechanism for triggering pitting corrosion of Ti-15-3 alloy with different roughness in salt spray environment was proposed.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Geochemistry & Geophysics
Yajun Tian, Jinghuai Gao, Daxing Wang
Summary: The division of sedimentary cycles is crucial for sequence stratigraphy analysis. In this study, we introduce the synchrosqueezing optimal basic wavelet transform (SOBWT) to accurately characterize the changes in sedimentary cycle. The proposed method is validated using synthetic and field data, showing its convenience and effectiveness.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Multidisciplinary Sciences
Dastan Ismail, Samah Mustafa
Summary: This paper presents a new computer-aided microwave monitoring system using a bank of new wavelet-matched filters to detect and localize brain stroke. The system exposes the head to microwave radiation and analyzes the perturbation in the microwave signals from the brain. A novel technique is applied to estimate the target response by removing the strong reflection from the air-skull interface, and its performance is compared with other techniques from literature. The study results show promising candidate signatures for computer-aided detection and localization of a stroke based on wavelet energy and Shannon wavelet entropy in the filtered microwave signal.
ROYAL SOCIETY OPEN SCIENCE
(2023)
Article
Engineering, Multidisciplinary
Zhaohong Yu, Cancan Yi, Xiangjun Chen, Tao Huang
Summary: This paper proposes a new TFA method called adaptive multiple second-order synchrosqueezing wavelet transform (AMWSST2) to improve the concentration of TF energy and handle noise components. By introducing a short-time window and performing smoothing process, the AMWSST2 algorithm achieves a more apparent and congregated time-frequency representation.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Mathematics, Applied
Wenting Li, Zhuosheng Zhang, Francois Auger, Xiangxiang Zhu
Summary: In this letter, we propose a time-reassigned synchrosqueezing wavelet transform (TSWT) for analyzing impulsive-like signals with nearly perpendicular instantaneous frequency curves. The TSWT, by squeezing wavelet transform coefficients in the time direction, achieves high energy concentration and enables signal reconstruction. The effectiveness of TSWT is demonstrated through rigorous theoretical analysis and numerical experiments.
APPLIED MATHEMATICS LETTERS
(2022)
Article
Automation & Control Systems
Zhenjin Shi, Xu Yang, Yueyang Li, Gang Yu
Summary: This paper introduces a novel wavelet-based TF analysis approach called WSET, which enhances the concentration of TF representation by extracting the wavelet transform TF spectrum of signals. The effectiveness of WSET is demonstrated through processing bat signals and verifying its capability in extracting failure features for rotor and rolling bearing malfunction diagnosis.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Engineering, Biomedical
Yong Wang, Yang Bai, Xiaoyu Xia, Zikang Niu, Yi Yang, Jianghong He, Xiaoli Li
Summary: The research compared three methods for analyzing TMS-evoked oscillations and found that SST could more accurately detect oscillations in different states of consciousness. The main frequency of TMS-evoked oscillations for DOC patients was lower than that of normal individuals.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Chemistry, Physical
M. A. Rubio, D. G. Sanchez, P. Gazdzicki, K. A. Friedrich, A. Urquia
Summary: Early diagnosis of fuel cell failure modes using local electrochemical noise analysis is proposed in this study. The method is suitable for real-time diagnosis, achieves a high identification rate, and can be implemented using lightweight and inexpensive hardware.
JOURNAL OF POWER SOURCES
(2022)
Article
Engineering, Multidisciplinary
Qi Liu, Yanxue Wang, Yonggang Xu
Summary: A novel time-frequency analysis method called synchrosqueezing extracting transform has been proposed in this study, which can extract the time-varying information of nonstationary signals and achieve a better-concentrated time-frequency representation. This method has better noise robustness and lower time-consuming compared to traditional time-frequency analysis methods, as verified by the analysis of numerical signals.
Article
Engineering, Electrical & Electronic
Edgardo Marchi, Marcos Cervetto, Cecilia Galarza
Summary: Time-Frequency Analysis is an important tool used in engineering, applied sciences, and industrial applications. New techniques have been developed to improve time-frequency resolution, but they often require heavy computational burden. This paper introduces an adaptive algorithm based on the Synchrosqueezing Wavelet Transform for systems with constrained computational power. The algorithm's performance is tested on synthetic and real-world signals, and a software architecture is presented for the implementation of the algorithm on different devices. A Python package is also available for public use.
DIGITAL SIGNAL PROCESSING
(2023)
Article
Chemistry, Physical
O. J. Ramos-Negron, R. F. Escobar-Jimenez, J. H. Arellano-Perezb, J. F. Gomez-Aguilar, Da-Hai Xia
Summary: This study focused on the corrosion analysis of aluminum alloy using ethanol-gasoline blends and proposed an alternative signal processing method, the Stockwell Transform (ST). The results showed varying corrosion levels in the aluminum alloy exposed to different concentrations of ethanol-gasoline blends.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Engineering, Electrical & Electronic
Deyun Wei, Jinshun Shen
Summary: In this paper, the generalized synchrosqueezing fractional S-transform (GSSFrST) is proposed to improve the low time-frequency resolution of the synchrosqueezing transform (SST) faced with strongly frequency-modulated signals. Furthermore, the multi-spectra synchrosqueezing transform (MSST) based on GSSFrST and Hough transform is proposed to enhance the TF resolution. Experimental results demonstrate that MSST is a promising tool for cross chirp signal separation and instantaneous frequency estimation.
Article
Engineering, Electrical & Electronic
Lin Li, Xiaorui Yu, Qingtang Jiang, Bo Zang, Li Jiang
Summary: This paper proposes a signal separation method based on adaptive window and fractional lower-order SST, which can effectively recover multicomponent signals under impulsive noise.
Article
Computer Science, Interdisciplinary Applications
J. Lin, W. Zhou, X. Z. Cui, H. P. Hong
Summary: This study presents a framework to analyze and simulate nonhomogeneous non-Gaussian corrosion fields on buried in-service pipelines using continuous and discrete wavelet transforms. The framework incorporates the measured corrosion field and utilizes different wavelet transforms and an iterative algorithm to generate synthetic corrosion fields. The results indicate that the proposed framework effectively captures the probabilistic characteristics of the measured corrosion field and can be used for pipeline corrosion management.
COMPUTERS & STRUCTURES
(2023)
Article
Geochemistry & Geophysics
Haoran Lin, Lei Xing, Qianqian Li, Huaishan Liu, Hongmao Zhang, Heng Zhou
Summary: This article introduces a method to improve resolution and enhance representation in time-frequency analysis, extending to signals with spatial variations. Through experiments, it is demonstrated that this method can characterize non-stationary, spatially varying signals with high resolution and robustness, while maintaining signal reconstruction ability. In addition, the application of this method in seismic data processing can suppress ground roll.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Optics
Md. Tarikul Islam, Mst. Armina Akter, J. F. Gomez-Aguilar, Md. Ali Akbar, Eduardo Perez-Careta
Summary: In this paper, the researchers aim to find distinct and innovative accurate wave solutions to the dual core optical fiber nonlinear equations by adopting the improved tanh method and the rational (G'/G)-expansion method. The obtained solutions are visualized in 3D, 2D, and contour shapes, highlighting the effects of wave speed on soliton transmission. The employed techniques perform well in unraveling the suggested governing models and hold potential for further research.
JOURNAL OF NONLINEAR OPTICAL PHYSICS & MATERIALS
(2023)
Article
Engineering, Electrical & Electronic
Farah Aini Abdullah, Md Tarikul Islam, J. F. Gomez-Aguilar, Md Ali Akbar
Summary: The study explores the relationship between the nonlinear coupled Konno-Oono model and the magnetic field and emphasizes the importance of solitary wave solutions for understanding relevant physical characteristics. The adoption of rational (G'/G)-expansion and improved tanh techniques successfully generates numerous wave solutions. The graphical representation of the constructed solutions reveals various solitons and clarifies their mathematical and physical significance. The competency of the adopted techniques fascinates researchers for further utilization in extracting nonlinear models.
OPTICAL AND QUANTUM ELECTRONICS
(2023)
Article
Mathematical & Computational Biology
Fengsheng Chien, Hassan Saberi Nik, Mohammad Shirazian, J. F. Gomez-Aguilar
Summary: This paper investigates the stability analysis of an SEIRV model with nonlinear incidence rates and discusses the significance of control factors in disease transmission. The use of Volterra-Lyapunov matrices enables the study of global stability at the endemic equilibrium point. Additionally, an optimal control strategy is proposed to prevent the spread of coronavirus, aiming to minimize the number of infected and exposed individuals as well as treatment costs. Numerical simulations are conducted to further examine the analytical findings.
INTERNATIONAL JOURNAL OF BIOMATHEMATICS
(2024)
Article
Thermodynamics
I. J. Canela-Sanchez, D. Juarez-Romero, R. F. Escobar-Jimenez
Summary: This work presents a computational model of a 13-tube helical falling film evaporator based on physical principles, modeling the momentum and energy transfer of the system. The aim is to understand the behavior of a horizontal falling film evaporator and improve its design by analyzing heat transfer. The study investigates the wetting efficiency variation in each tube and the effects of different parameters on evaporator performance.
APPLIED THERMAL ENGINEERING
(2023)
Article
Economics
H. Mesgarani, Y. Esmaeelzade Aghdam, A. Beiranvand, J. F. Gomez-Aguilar
Summary: This paper proposes a new fuzzy mathematical programming method that uses DEA models and KKT conditions to evaluate the efficiency of fuzzy systems. The method includes a DEA model based on alpha-cut sets comparison and a model developed using KKT conditions to assess the efficiency of DMUs and alpha-levels.
COMPUTATIONAL ECONOMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Alfredo Gonzalez-Calderon, Luis X. Vivas-Cruz, M. A. Taneco-Hernandez, J. F. Gomez-Aguilar
Summary: The performance of the hyperbolic-numerical inverse Laplace transform (hyperbolic-NILT) method is evaluated for solving time-fractional ordinary and partial differential equations. Model problems of Gompertz and diffusion equations are used to analyze the accuracy, stability, and convergence of the numerical solutions by comparing with exact solutions. An independent formula of the fractional order is obtained and used to optimize the parameter of the hyperbolic-NILT method, which can be implemented in linear fractional differential equations with non-homogeneous initial conditions. The study highlights the transfer of parameter values throughout the time domain to maintain the accuracy of the inverted solution, making the hyperbolic-NILT method highly recommended for similar model problems.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Physics, Multidisciplinary
Saurabh Kumar, Vikas Gupta, Ajay Kumar, J. F. Gomez-Aguilar
Summary: This paper introduces the fractional-order Lagrange polynomials approach to solving initial value problems for pantograph delay and Riccati differential equations involving fractional-order derivatives. The fractional derivative is determined using the idea of Caputo. Operational matrices of fractional integration with fractional-order Lagrange polynomials are constructed using the Laplace transform. The given initial value problem is then converted to a system of algebraic equations using these operational matrices and the collocation method, which are solved using Newton's iterative approach. Error estimates for the function approximation have also been discussed.
Article
Food Science & Technology
Alexis Alonso-Bastida, Manuel Adam-Medina, Dolores-Azucena Salazar-Pina, Ricardo-Fabricio Escobar-Jimenez, Maria-Socorro Parra-Cabrera, Marisol Cervantes-Bobadilla
Summary: This study analyzes the effect of modifying the sequence of macronutrient intake on glycemic variation in individuals without diabetes. The results show that consuming vegetables, fiber, or proteins before carbohydrates can decrease postprandial glucose peaks and average blood glucose levels. This research has the preliminary potential to prevent and solve chronic degenerative diseases, improve glucose management, and enhance individual health through altering the sequence of macronutrient intake.
Article
Economics
Y. Esmaeelzade Aghdam, H. Mesgarani, A. Amin, J. F. Gomez-Aguilar
Summary: This paper proposes an efficient procedure to estimate the fractional Black-Scholes model in time-dependent on the market prices of European options using the composition of the orthogonal Gegenbauer polynomials (GB polynomials) and the approximation of the fractional derivative dependent on the Caputo derivative. The implementation of this algorithm has high accuracy and reduces computation time. Numerical examples and experiments are provided to illustrate the validity, accuracy, and efficiency of the proposed method.
COMPUTATIONAL ECONOMICS
(2023)
Article
Physics, Multidisciplinary
Kashif Ali Abro, Abdon Atangana, J. F. Gomez-Aguilar
Summary: This study investigates the chaotic analysis of thermal convection for non-Newtonian fluids using fractal-fractional differential operators. The novel aspect is the discovery of chaotic behavior in non-Newtonian fluids saturated by porosity, similar to chaotic behavior in Newtonian fluids saturated by porosity. Mathematical modeling of the governing equations is constructed using the Caputo-Fabrizio fractal-fractional differential operator and appropriate conditions. The study explores dissipation, equilibrium points, and stability criteria through numerical simulations of chaotic convection in non-Newtonian fluids and Newtonian fluids in the presence of porosity.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2023)
Article
Physics, Multidisciplinary
Md Tarikul Islam, Tara Rani Sarkar, Farah Aini Abdullah, J. F. Gomez-Aguilar
Summary: This article introduces a new nonlinear equation model for describing the dynamical behavior of nonlinear waves in incompressible fluid. By adopting improved tanh and improved auxiliary equation, the wave solutions in 3D, 2D, and contour sense are studied and their internal properties are analyzed. These findings are important for understanding the relevant phenomena.
Article
Physics, Multidisciplinary
Rawan Alharbi, A. A. Alshaery, H. O. Bakodah, R. Nuruddeen, J. F. Gomez-Aguilar
Summary: In this study, the 'generalized Riccati equation approach' is used to analyze the analytical structures of (2+1)-dimensional Burgers' equations, revealing new analytical structures. The method first transforms the targeted nonlinear partial differential equation into a nonlinear ordinary differential equation, and then into a set of algebraic equations, solving them simultaneously to obtain the solution possibilities. Finally, graphical illustrations in 2D and 3D plots are used to show the evolutionary nature of the resulting structures and analyze the influence of the Reynolds number on the wave profiles.
Article
Physics, Multidisciplinary
Sujoy Devnath, M. Ali Akbar, J. F. Gomez-Aguilar
Summary: This study investigates the inclusive optical soliton solutions to the (2+1)-dimensional nonlinear time-fractional Zoomeron equation and the space-time fractional nonlinear Chen-Lee-Liu equation using the extended Kudryashov technique. The obtained solutions yield a variety of typical soliton shapes and the precision of the acquired solutions is confirmed by reintroducing them into the original equation using Mathematica. This approach could introduce novel ways for unraveling other nonlinear equations and have implications in diverse sectors of nonlinear science and engineering.
Article
Computer Science, Information Systems
J. E. Lavin-Delgado, J. F. Gomez-Aguilar, D. E. Urueta-Hinojosa, Z. Zamudio-Beltran, J. A. Alanis-Navarro
Summary: In this research, a fractional-order technique for corner detection and image matching based on the Harris-Stephens algorithm and the Caputo-Fabrizio and Atangana-Baleanu derivatives is proposed and experimentally tested. The proposed technique improves image fidelity and corner extraction accuracy by designing a fractional Gaussian filter and generalizing the image derivatives using the Caputo-Fabrizio derivative. It is compared with existing methods and validated through experimental results.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Automation & Control Systems
R. F. Escobar-Jimenez, L. E. Ocampo-Rodriguez, G. L. Osorio-Gordillo, C. D. Garcia-Beltran
Summary: This research presents the design of a fault-tolerant system based on a dual extended Kalman filter (DEKF) and a bank of two high-gain observers to ensure the continuous operation of an internal combustion engine (ICE) despite total and partial faults in the mass airflow (MAF) sensor, temperature sensor, and pressure sensor. The proposed fault-tolerant system proves to be effective in the case of one or multiple sensor faults.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
