Article
Computer Science, Information Systems
N. A. . A. . Fataf, M. F. Abdul Rahim, Shaobo He, Santo Banerjee
Summary: This article proposes a synchronization scheme based on fractional-order chaotic laser models, observing good synchronization of intermediate variables and significantly reduced errors, indicating compatibility of the scheme. A communication scheme based on music signals is implemented to verify the application. The results show that the scheme is effective for IoT with an increased number of connected devices using semiconductor lasers.
INTERNET OF THINGS
(2021)
Article
Mathematics, Applied
Nanxiang Yu, Wei Zhu
Summary: This paper investigates the synchronization of fractional-order differential chaotic systems using event-triggered impulsive control, combining the advantages of impulsive control and event-triggered control. By reducing the update frequency of the controller, the consumption of communication bandwidth and computing resources can be further reduced, while excluding Zeno-behavior of the impulsive sequence. The theoretical results are validated through a numerical example with simulation.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Ziyang Luo, Xingdong Zhang, Shuo Wang, Lin Yao
Summary: In this paper, a new numerical scheme is proposed to solve time fractional partial integro-differential equations with a weakly singular kernel. The proposed scheme, based on weighted and shifted Grunwald formula and compact difference operate, ensures stability and convergence, with accuracy independent of the fractional parameter a.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Mathematics, Applied
Tianwei Zhang, Yongkun Li
Summary: This paper establishes the basic structure of the exponential Euler difference form for Caputo-Fabrizio fractional-order differential equations (CF-FODEs) with multiple lags and proposes a fractional PECE algorithm to solve this implicit difference. The global dynamics of the discrete-time CF-FODEs is discussed from the viewpoint of control theory.
APPLIED MATHEMATICS LETTERS
(2022)
Article
Mathematics, Applied
Dumitru Baleanu, Sadegh Zibaei, Mehran Namjoo, Amin Jajarmi
Summary: This paper introduces and analyzes a novel fractional chaotic system with quadratic and cubic nonlinearities. Numerical simulations determine the lowest order at which the system remains chaotic, and the system's chaotic behavior is studied using a nonstandard finite difference scheme. Additionally, nonidentical synchronization between the model and fractional Volta equations is achieved through an active control strategy, confirming its effectiveness through simulations.
ADVANCES IN DIFFERENCE EQUATIONS
(2021)
Article
Physics, Multidisciplinary
Shaohui Yan, Hanbing Zhang, Defeng Jiang, Jiawei Jiang, Yu Cui, Yuyan Zhang
Summary: By improving the Sprott-A system and introducing the definition of fractional calculus, a new 3D fractional-order chaotic system is obtained. The system's chaotic behavior is confirmed through phase diagram, Lyapunov exponents, and alignment index tests, while its equilibrium points and dynamics are analyzed.
Article
Mathematics, Applied
Obaid Algahtani, M. A. Abdelkawy, Antonio M. Lopes
Summary: A new technique is proposed to solve variable order fractional stochastic Volterra integro-differential equations, which shows superiority when dealing with problems with non-smooth solutions.
Article
Physics, Multidisciplinary
Shaohui Yan, Qiyu Wang, Ertong Wang, Xi Sun, Zhenlong Song
Summary: This paper introduces the concept of fractional calculus into the 5D chaotic system to obtain a new 5D fractional-order chaotic system. The system exhibits multi-scroll hidden attractor and multi-stability. By analyzing various characteristics, it is found that the system is sensitive to parameters and initial values, and can produce different types of attractors with varying parameters.
Article
Mathematics, Interdisciplinary Applications
N. H. Sweilam, S. M. AL-Mekhlafi, D. G. Mohamed
Summary: This paper numerically studies the behavior of two novel classes of fractional order chaotic systems, with fractal-fractional derivatives defined in the Caputo and Riemann-Liouville senses. Two Grunwald-Letnikov nonstandard finite difference schemes are presented for studying these systems, and the stability analysis of the methods is proved. Numerical simulations and comparative studies are used to demonstrate the simplicity and effectiveness of the proposed methods.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
S. Sweetha, R. Sakthivel, S. Harshavarthini
Summary: This paper investigates the synchronization problem of nonlinear delayed fractional-order chaotic systems, taking into account quantization, actuator faults, randomly occurring parametric uncertainties, and exogenous disturbances. The study achieves fast synchronization of the system in a finite time period by developing a robust quantized stochastic reliable control protocol. The theoretical results are validated through numerical simulation.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
J. L. Echenausia-Monroy, C. A. Rodriguez-Martine, L. J. Ontanon-Garcia, J. Alvarez, J. Pena Ramirez
Summary: This study examines the effectiveness of dynamic coupling as a synchronization strategy for fractional chaotic systems, identifying regions where complete synchronization occurs in the coupled systems. The integration order is considered a key parameter, with statistical metrics and linearized error dynamics used to study the local stability of synchronous solutions. Results show that the integration order affects not only the onset of full synchronization but also the individual dynamic behavior of uncoupled systems.
Article
Mathematics, Applied
Anatoly A. Alikhanov, Chengming Huang
Summary: This paper focuses on constructing L2 type difference analog of the Caputo fractional derivative, studying its fundamental features, and using it to generate difference schemes with different orders in space and time for time fractional diffusion equations. The stability and convergence of the schemes are proven, and numerical computations support the obtained results.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mathematics
Dongya Li, Xiaoping Zhang, Shuang Wang, Fengxiang You
Summary: This paper investigates the synchronization problem for a class of chaotic systems subjected to disturbances. A feedback law is designed to achieve H∞ performance, and a detailed algorithm for computing the incremental multiplier matrix is provided. The effectiveness of the proposed method is demonstrated through numerical and practical examples.
Article
Mathematics
Junjiang Lai, Hongyu Liu
Summary: The paper examines numerical solutions for Riesz space fractional partial differential equations with a second order time derivative, proposing a Galerkin finite element scheme and deriving stability and error estimates. Extensive numerical experiments confirm the superior features of the newly proposed method.
Article
Mathematics, Interdisciplinary Applications
Deng Wang, Yang Liu, Hong Li, Zhichao Fang
Summary: This article studies a class of nonlinear fourth-order partial differential equation models with the Riemann-Liouville fractional integral term in two dimensions. The mixed element method is used in space, while the second-order backward difference formula (BDF2) with the weighted and shifted Grunwald integral (WSGI) formula is used in time. Stability and error results for the fully discrete scheme are derived, and two numerical examples are provided to verify the theoretical results.
FRACTAL AND FRACTIONAL
(2022)
Article
Engineering, Electrical & Electronic
Xuecui Zou, Usman Yaqoob, Hussein Hussein, Khaled N. Salama, Hossein Fariborzi
Summary: This paper presents a compact and reconfigurable current readout system based on MEMS resonators. The system generates analog and digital outputs by adjusting the resonant frequency of the microbeam through electrothermal means. Experimental results show a linear relationship between frequency shift and current squared, making the single resonator suitable for high-resolution measurements.
JOURNAL OF MICROELECTROMECHANICAL SYSTEMS
(2023)
Article
Materials Science, Multidisciplinary
Saptami Suresh Shetty, Jehad K. El-Demellawi, Yusuf Khan, Mohamed N. Hedhili, P. Arul, Veerappan Mani, Husam N. Alshareef, Khaled Nabil Salama
Summary: The research team synthesized Ti3C2Tx MXene nanosheets stabilized with iron single-atom catalysts (Fe-SACs) as efficient electrocatalysts for the determination of catecholamine in neuroblastoma and pheochromocytoma. The Fe-SACs/Ti3C2Tx sensor showed low oxidation overpotentials, high signal amplifications, and sensitive detection limits for dopamine and its end-products. It was found to be practically useful in tracking the in situ production of dopamine and analyzing human urine samples, making it a sensitive diagnostic platform for evaluating tumor progression and cellular dopamine communications.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Food Science & Technology
Asrar Nabil Damdam, Ashwaq Alzahrani, Lama Salah, Kahled Nabil Salama
Summary: One-third of the world's food supply is lost, with meat being a major contributor to this loss. This study examined the efficacy of UV-C irradiation and vacuum-sealing in preventing microbiological deterioration in beef, chicken, and salmon fillets. The results indicate that the combination of UV-C irradiation and vacuum sealing effectively inhibits microbial growth and extends the shelf-life of beef, chicken, and salmon fillets by 66.6%.
Article
Biophysics
Saptami Suresh Shetty, Basem Moosa, Li Zhang, Buthainah Alshankiti, Walaa Baslyman, Veerappan Mani, Niveen M. Khashab, Khaled Nabil Salama
Summary: In this study, a polyoxometalate-γ-cyclodextrin metal-organic framework (POM γCD MOF) was used as an electrocatalyst to create highly selective sensors for dopamine detection. The POM γCD MOF generated multiple signals for dopamine, including electrochemical, colorimetric, and smartphone read-outs. This research has the potential to significantly impact the diagnosis and treatment of dopamine-related diseases.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Neurosciences
Wenzhe Guo, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama
Summary: This study proposes an efficient and direct training algorithm for SNNs that integrates a locally-supervised training method with a temporally-truncated BPTT algorithm, reducing computational cost significantly. The results show that this method has the potential for fast and energy-efficient on-chip training for real-time learning at the edge.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Nanoscience & Nanotechnology
Xuecui Zou, Usman Yaqoob, Sally Ahmed, Yue Wang, Khaled Nabil Salama, Hossein Fariborzi
Summary: This article introduces a novel, hardware-efficient, interconnect-free microelectromechanical 7:3 compressor design. The device achieves low power consumption and excellent switching reliability, which is important for moderately downscaling devices. Additionally, the proposed paradigm shift for circuit design provides an attractive alternative for multioperand programmable computing based on electromechanical systems.
MICROSYSTEMS & NANOENGINEERING
(2023)
Article
Cell Biology
Ioannis Isaioglou, Mansour M. Aldehaiman, Yanyan Li, Abdellatif Ait Lahcen, Sakandar Rauf, Asma S. Al-Amoodi, Umme Habiba, Abdullah Alghamdi, Shuho Nozue, Satoshi Habuchi, Khaled N. Salama, Jasmeen S. Merzaban
Summary: Exosomes released by cells communicate through integrins and E-selectin, as they navigate from the cell of origin to their destination. Surface modifications and signaling proteins within exosomes potentially alter the physiology of recipient cells.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2023)
Article
Food Science & Technology
Asrar Nabil Damdam, Levent Osman Ozay, Cagri Kaan Ozcan, Ashwaq Alzahrani, Raghad Helabi, Kahled Nabil Salama
Summary: This paper presents a versatile IoT-enabled electronic nose system to monitor food quality by evaluating the concentrations of VOCs. The system consists of an electronic nose, temperature/humidity sensors, and a microcontroller to send data to the server. The system was used to identify beef spoilage, and the concentrations of VOCs associated with raw beef spoilage were determined.
Article
Nanoscience & Nanotechnology
Duygu Beduk, Tutku Beduk, Josei Ilton de Oliveira Filho, Abdellatif Ait Lahcen, Ebru Aldemir, Emine Guler Celik, Khaled Nabil Salama, Suna Timur
Summary: Illicit drug use has become more widespread inrecent years and is associated with crime and public health issues. These drugs disrupt consciousness and affect perceptions and feelings. A laser-scribed graphene (LSG) sensing platform was developed for rapid and sensitive electrochemical detection of amphetamine (AMP), cocaine (COC), and benzodiazepine (BZD) simultaneously in saliva samples. The multiplex LSG sensor successfully detected target analytes in real saliva samples, providing a practical and affordable alternative to conventional drug-detection methods.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Materials Science, Multidisciplinary
Esraa Fakeih, Andres A. Aguirre-Pablo, Sigurdur T. Thoroddsen, Khaled N. Salama
Summary: This study investigates the design and fabrication of porous microneedles (MNs) and finds that injection through porous MNs results in a broader diffusion spread compared to hollow MNs. Three different designs of porous MNs with a constant pore size and controlled pore locations are fabricated using two-photon polymerization (2PP), and factors such as diffusion spread, mixing capabilities, and mechanical resilience are examined. The results show that porous MNs can cover 16 times the injection area of hollow MNs and demonstrate good mixing capabilities and mechanical strength.
ADVANCED ENGINEERING MATERIALS
(2023)
Article
Physics, Applied
Xuecui Zou, Nizar Jaber, Abdullah Bukhamsin, Usman Yaqoob, Khaled Nabil Salama, Hossein Fariborzi
Summary: This research presents a method for electric power measurement that utilizes the interaction between electrothermal strain and mechanical vibration. By comparing two different vibration modes, it is found that using the antisymmetric mode of vibration results in a monotonic output with lower nonlinear error.
APPLIED PHYSICS LETTERS
(2023)
Article
Automation & Control Systems
Jose Ilton de Oliveira Filho, Murilo Calil Faleiros, Daisy Camargo Ferreira, Veerappan Mani, Khaled Nabil Salama
Summary: Two significant issues in biosensors, selectivity and background noise, can't be solved by conventional analytical methods. The application of embedded machine learning in removing background interference is still unexplored. Implementing machine learning into devices and sensors can enhance their reliability in discerning responses, and applying these models to portable devices can further improve point-of-care usage, continuous monitoring, and viral mutation assessments.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Olga Krestinskaya, Li Zhang, Khaled Nabil Salama
Summary: The increasing amount of data processed in the cloud, the development of Internet-of-Things (IoT) applications, and the growing concerns about data privacy are driving the transition from cloud-based to edge-based processing. Limited energy and computational resources on the edge are pushing the move from traditional von Neumann architectures to In-memory Computing (IMC), especially for machine learning and neural network applications. Network compression techniques, such as quantization, are being applied to implement neural networks on limited hardware resources, reducing memory footprint, latency, and energy consumption. This article provides a comprehensive review of IMC-based Quantized Neural Networks (QNN) and connects software-based quantization approaches to IMC hardware implementation, while addressing open challenges, QNN design requirements, recommendations, and perspectives, along with an IMC-based QNN hardware roadmap.
IEEE TRANSACTIONS ON NANOTECHNOLOGY
(2023)
Article
Energy & Fuels
Azamat Bakytbekov, Thang Q. Nguyen, Ge Zhang, Michael S. Strano, Khaled N. Salama, Atif Shamim
Summary: In a future green Internet of Things (IoT) reality, self-powered IoT devices are crucial. This study presents a multi-source energy harvester that collects ambient energy from radio frequency (RF) energy and thermal energy, providing ubiquitous and continuous power for IoT devices.
Article
Automation & Control Systems
Montserrat Ramirez-De Angel, Abdullah S. Almansouri, Khaled N. Salama
Summary: Individuals with voice or speech disorders face difficulties in communicating with the public, leading to frustration, isolation, and depression. However, advancements in wearable artificial skins and machine learning have led to the development of an assistive magnetic skin system (AM2S-SR), allowing speech impaired individuals to communicate naturally using their mouths.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Mathematics, Applied
Junfeng Cao, Ke Chen, Huan Han
Summary: This paper proposes a two-stage image segmentation model based on structure tensor and fractional-order regularization. In the first stage, fractional-order regularization is used to approximate the Hausdorff measure of the MS model. The solution is found using the ADI scheme. In the second stage, thresholding is used for target segmentation. The proposed model demonstrates superior performance compared to state-of-the-art methods.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Dylan J. Oliver, Ian W. Turner, Elliot J. Carr
Summary: This paper discusses a projection-based framework for numerical computation of advection-diffusion-reaction (ADR) equations in heterogeneous media with multiple layers or complex geometric structures. By obtaining approximate solutions on a coarse grid and reconstructing solutions on a fine grid, the computational cost is significantly reduced while accurately approximating complex solutions.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Nathan V. Roberts, Sean T. Miller, Stephen D. Bond, Eric C. Cyr
Summary: In this study, the time-marching discontinuous Petrov-Galerkin (DPG) method is applied to the Vlasov equation for the first time, using backward Euler for a Vlasov-Poisson discretization. Adaptive mesh refinement is demonstrated on two problems: the two-stream instability problem and a cold diode problem.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Yizhi Sun, Zhilin Sun
Summary: This work investigates the convexity of a specific class of positive definite probability measures and demonstrates the preservation of convexity under multiplication and intertwining product. The study reveals that any integrable function on an interval with a polynomial expansion of fast absolute convergence can be decomposed into a pair of positive convex interval probabilities, simplifying the study of interval distributions and discontinuous probabilistic Galerkin schemes.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Bhagwan Singh, Komal Jangid, Santwana Mukhopadhyay
Summary: This paper examines the prediction of bending characteristics of nanoscale materials using the Moore-Gibson-Thompson thermoelasticity theory in conjunction with the nonlocal strain gradient theory. The study finds that the stiffness of the materials can be affected by nonlocal and length-scale parameters, and the aspect ratios of the beam structure play a significant role in bending simulations.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Guoliang Wang, Bo Zheng, Yueqiang Shang
Summary: This paper presents and analyzes a parallel finite element post-processing algorithm for the simulation of Stokes equations with a nonlinear damping term, which integrates the algorithmic advantages of the two-level approach, the partition of unity method, and the post-processing technique. The algorithm generates a global continuous approximate solution using the partition of unity method and improves the smoothness of the solution by adding an extra coarse grid correction step. It has good parallel performance and is validated through theoretical error estimates and numerical test examples.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Hao Xu, Zeng-Qi Wang
Summary: Fluid flow control problems are crucial in industrial applications, and solving the optimal control of Navier-Stokes equations is challenging. By using Oseen's approximation and matrix splitting preconditioners, we can efficiently solve the linear systems and improve convergence.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
Article
Mathematics, Applied
Zhengya Yang, Xuejuan Chen, Yanping Chen, Jing Wang
Summary: This paper focuses on the high-order stable numerical solutions of the time-space fractional diffusion equation. The Fourier spectral method is used for spatial discretization and the Spectral Deferred Correction (SDC) method is used for numerical solutions in time. As a result, a high-precision numerical discretization scheme for solving the fractional diffusion equation is obtained, and the convergence and stability of the scheme are proved. Several numerical examples are presented to demonstrate the effectiveness and feasibility of the proposed numerical scheme.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2024)
