Article
Computer Science, Artificial Intelligence
Yanika Kongsorot, Pakarat Musikawan, Paisarn Muneesawang, Chakchai So-In
Summary: Wireless sensor networks (WSNs), an important technology for the Internet of Things (IoT), consist of small sensor nodes communicating in a large-scale network. To address the limited battery capacity of each node, a clustering-based approach is used to conserve energy and increase network lifetime. This paper proposes an enhanced fuzzy-based clustering protocol optimized by an improved shuffled frog leaping algorithm (ISFLA) to maintain network lifetime. The experimental results show improved network lifetime, stability, and data packet delivery to the base station (BS).
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Automation & Control Systems
Yang Zhao, Jicheng Liu, Ju Jiang, Ziyang Zhen
Summary: The dynamic weapon target assignment problem plays a significant role in modern air combat. To tackle this complex multi-objective optimization problem, an improved non-dominated shuffled frog leaping algorithm (NSFLA) is proposed, which integrates the features of shuffled frog leaping algorithm into NSGA-II. The algorithm shows superior performance in solution quality and efficiency, especially in scenarios with multiple aircraft and dynamic combat environment.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2023)
Article
Multidisciplinary Sciences
Fei Li, Wentai Guo, Xiaotong Deng, Jiamei Wang, Liangquan Ge, Xiaotong Guan
Summary: This paper proposes an improved shuffled frog leaping algorithm of threshold oscillation based on simulated annealing (SA-TO-SFLA) to enhance the convergence accuracy and convergence time of the ensemble learning of swarm intelligence evolutionary algorithm of artificial neural network (ANN).
Article
Energy & Fuels
Yun Liu, Ali Asghar Heidari, Xiaojia Ye, Chen Chi, Xuehua Zhao, Chao Ma, Hamza Turabieh, Huiling Chen, Rongrong Le
Summary: The study introduces an efficient solver called SFLBS for extracting unknown parameters in photovoltaic systems. Experimental results demonstrate that SFLBS performs well in parameter extraction and evaluation of commercial PV modules, with satisfactory convergence speed.
Article
Nuclear Science & Technology
Fei Li, Xiao-Fei Huang, Yue-Lu Chen, Bing-Hai Li, Tang Wang, Feng Cheng, Guo-Qiang Zeng, Mu-Hao Zhang
Summary: An improved SFLA-PSO CNN method is proposed in this study for large-sample quantitative analysis of airborne gamma-ray spectra. The method trains the neural network weight, optimizes the network structure, and enables the network to perform quantitative spectrum processing. The results show that the algorithm has high processing efficiency and accuracy, and can meet the requirements of practical engineering measurement.
NUCLEAR SCIENCE AND TECHNIQUES
(2023)
Article
Energy & Fuels
Yanxiao Wu, Jiaqi Li, Xincheng Tang, Zhuoer Yuan, Xinyu Dong, Zhenchang Fang, Chunhua Sun, Xinqi Qiao, Xinling Li
Summary: This study establishes a simplified mechanism for n-butanol using the decoupling methodology and optimizes the rate constants using the Shuffled Frog Leaping Algorithm. The optimized mechanism shows good agreement with experimental data and is computationally efficient. This study provides a theoretical basis for the application of n-butanol fuel.
Article
Computer Science, Information Systems
Rasmita Dash, Rajashree Dash, Rasmita Rautray
Summary: Microarray technology has been widely used in biomedical research, but its efficient application in this field remains challenging and expensive. This study proposes a new metaheuristic approach, utilizing binary shuffled frog leaping algorithm for gene selection, and demonstrates the superiority of the selected gene subset through comparison with various classifiers.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Qingtao Pan, Jun Tang, Haoran Wang, Hao Li, Xi Chen, Songyang Lao
Summary: This paper proposes an improved self-adaptive differential evolution algorithm SFSADE, which effectively improves the performance of DE by introducing a shuffled frog-leaping strategy, a new mutation strategy, and an adaptive adjustment mechanism for control parameters. A large number of simulation experiments on 25 benchmark functions of CEC 2005 and two nonparametric statistical tests have shown that SFSADE significantly enhances the overall diversity of the population during dynamic evolution.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Telecommunications
Pouya Demokri Dizji, Saba Joudaki, Hoshang Kolivand
Summary: This article introduces a traffic sign recognition algorithm that uses color segmentation, support vector machines, and histograms of oriented gradients. By employing meta-heuristic algorithms for image segmentation, significant improvements are achieved.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Yao Huang, Xiao-Ning Shen, Xuan You
Summary: A discrete shuffled frog-leaping algorithm based on heuristic information is proposed for the traveling salesman problem, with four improved searching strategies to enhance the algorithm performance. Validation on TSP instances shows that the proposed algorithm outperforms classical and state-of-the-art algorithms in terms of accuracy and stability.
APPLIED SOFT COMPUTING
(2021)
Article
Biology
Nancy Kumari, D. P. Acharjya
Summary: In this paper, an incremental rough set shuffled frog leaping algorithm for knowledge inference is introduced. The algorithm helps find minimum features from complex databases with uncertainty and incompleteness. The proposed model utilizes rough set for knowledge discovery and rule generation, and it shows better classification accuracy.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Yafei Dong, Quanwang Wu, Junhao Wen
Summary: The multiple traveling salesman problem (mTSP) is an extended version of the well-known traveling salesman problem, involving multiple salesmen visiting a set of cities, aiming to balance workload among salesmen or find the optimal solution when travel time is prioritized. The novel improved shuffled frog-leaping algorithm (ISFLA) proposed in this paper outperforms some state-of-the-art approaches for this problem, demonstrating its superiority in solving the minmax mTSP.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
P. Supraja, S. Babu, V. M. Gayathri, G. Divya
Summary: Cognitive radio uses machine learning for predicting spectrum utilization to reduce energy consumption and delay. Spectrum prediction techniques are employed to forecast future channel status and improve channel utilization.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Energy & Fuels
Yi Fan, Pengjun Wang, Ali Asghar Heidari, Xuehua Zhao, Hamza Turabieh, Huiling Chen
Summary: The importance of developing an accurate mathematical model for studying and optimizing PV systems has been emphasized, and a new algorithm called DDSFLA was proposed to address the low convergence accuracy issue in solving PV problems using SFLA. Testing on benchmark functions and extracting various models showed that the DDSFLA algorithm has better performance and stability.
Article
Engineering, Industrial
Jingcao Cai, Deming Lei, Jing Wang, Lei Wang
Summary: This study considers the distributed assembly hybrid flow shop scheduling (DAHFS) problem with actual processing constraints and proposes a new algorithm with reinforcement learning to minimize makespan.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Engineering, Electrical & Electronic
Ehsan Mazaheri-Tehrani, Jawad Faiz
Summary: Flux-based fault diagnosis methods have gained increasing attention for their potential diagnostic capabilities and ability to overcome weaknesses of traditional methods. This study reviews recent literature on these methods, discusses the strengths and limitations, and classifies flux-based approaches based on the type of utilized flux. Common faults in induction machines and permanent magnet machines are considered, and research gaps are identified for future research suggestions.
IET ELECTRIC POWER APPLICATIONS
(2022)
Review
Engineering, Electrical & Electronic
Sina Khalesidoost, Jawad Faiz, Ehsan Mazaheri-Tehrani
Summary: This paper reviews the state-of-the-art of thermal modelling techniques in permanent magnet (PM) machines and provides a detailed comparison of these techniques. The paper first discusses the fundamental concepts of heat transfer and sources of heat in PM machines, and then introduces and compares different thermal modelling techniques. Finally, the utilization of these models in the thermal design, control, and monitoring of PM machines is studied.
IET SCIENCE MEASUREMENT & TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Saeed Lotfifard, Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel
Summary: This article proposes a distributed voltage control strategy for multiterminal high-voltage dc systems, which achieves fair power sharing among converters. A mathematical model is established to represent the dynamics of converters in the systems. A distributed cooperative voltage control scheme is developed, where each converter communicates with the neighboring converters to regulate the voltage of the pilot bus. The proposed method is robust against communication systems failures, multiplicative noise in communication network, and degradations.
IEEE SYSTEMS JOURNAL
(2022)
Article
Energy & Fuels
Gholamreza Davarpanah, Jawad Faiz, Sajjad Mohammadi, James L. Kirtley
Summary: This paper presents a new self-starting technique for two-phase switched reluctance motors (SRMs) that offers higher efficiency and better performance compared to previous methods. Experimental results and finite element analysis confirm the advantages of the proposed topology.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Energy & Fuels
Mehrage Ghods, Jawad Faiz, Mohammad Amin Bazrafshan, Mohammad Hossein Arianborna
Summary: This paper introduces a double-excited linear Vernier machine for wave energy conversion. The machine is modeled using finite element analysis and nonlinear equivalent network model, and a new meshing method is proposed to improve the accuracy and compactness of the model. Special positioning is utilized for better continuity in the output waveforms, and the end-effect is modeled using two separate networks.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Energy & Fuels
Zahra Masoumi, Bijan Moaveni, Mojtaba Khorshidi, Jawad Faiz, Sayed Mohammad Mousavi Gazafrudi
Summary: This paper presents a method for estimating the equivalent circuit parameters of three-phase induction motors by using the extended Kalman filter. The method takes into account various variables of the motor under unspecified load and unsaturated condition, and estimates the parameters using different modes and coordinate systems. Experimental data is used for validation.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Engineering, Electrical & Electronic
Donya Nojavanzadeh, Saeed Lotfifard, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel
Summary: This paper presents a method for controlling the voltage of inverter-based Microgrids by proposing a new scale-free distributed cooperative controller. The main contribution of this paper is that the proposed distributed cooperative controller is scale-free and independent of any information about the communication system and the number of distributed generators, as such it works for any Microgrids with any size. The communication network is modeled by a general time-varying graph which enhances the resilience of the proposed protocol against communication link failure, data packet loss, and arbitrarily fast plug and play operation in the presence of arbitrarily finite communication delays as the protocol does not require the knowledge of the upper bound on the delay. The stability analysis of the proposed protocol is provided. The proposed method is simulated on the CIGRE medium voltage Microgrid test system. The simulation results demonstrate the feasibility of the proposed scale-free distributed nonlinear protocol for regulating voltage of Microgrids in the presence of communication failures, data packet loss, noise, and degradation.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Sohrab Amini, Jawad Faiz
Summary: This paper presents a method for performance analysis of a linear permanent magnet Vernier machine (LPMVM) and proposes a quick mathematical technique for optimization or sensitivity analysis. The method utilizes a mixed subdomain and magnetic equivalent circuit approach to extract the magnetic field equations in different parts of the machine, taking into account the end-effect. The accuracy of the proposed method is verified through prototyping and testing of an LPMVM.
IET ELECTRIC POWER APPLICATIONS
(2022)
Article
Automation & Control Systems
Zahra Masoumi, Bijan Moaveni, Sayed Mohammad Mousavi Gazafrudi, Jawad Faiz
Summary: This paper presents a fault diagnosis approach for detecting eccentricity fault in Synchronous Generators (SGs), which estimates the state matrix eigenvalues and utilizes them for fault diagnosis. The method is applicable for both linear and nonlinear loads of SGs.
Article
Engineering, Electrical & Electronic
Mehrage Ghods, Jawad Faiz, Ehsan Rashipour, Mohammad Amin Bazrafshan, Mohammad Reza Besmi
Summary: This article introduces a special permanent magnet generator structure suitable for small-scale wind turbine generators, which has the advantages of high torque density, lightweight, and high efficiency. At the same time, an Equivalent-Magnetic-Network (EMN) model is established to accurately predict the behavior of flux lines and operating quantities of the structure, and the validity of the model is verified by comparing with finite element and experimental results.
IET ELECTRIC POWER APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Mehrage Ghods, Jawad Faiz, Hamed Gorginpour, Mohammad Amin Bazrafshan, Jonas Kristiansen Noland
Summary: This article presents a new variable-reluctance fractional-slot V-shaped VPM machine, along with an innovative equivalent magnetic network model and conformal mapping method, to improve the design process and performance prediction. Compared to traditional PMSMs, this machine has higher torque density and lower torque ripple, while enhancing flux linkage and power factor.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Hamed Samimi, Jawad Faiz, Jafar Ghasemi Parchini
Summary: Frequency response analysis (FRA) provides valuable information on internal electrical and mechanical faults in a transformer. This paper focuses on using numerical indices for the evaluation of FRA to diagnose the turn-to-turn fault (TTF) severity of the transformer winding. The experimental and simulation results demonstrate that the numerical indices can determine the TTF severity by assessing the FRA results in a transformer winding.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Ehsan Rahmkhoda, Jawad Faiz, Moein Abedini
Summary: Faults in the power system should be detected as soon as possible to prevent destructive damage to system equipment. Loss-of-excitation (LOE) in the excitation system of a synchronous generator can have harmful effects on the generator and power system. Conventional techniques for detecting LOE fault based on impedance measurement may not always be accurate, especially with the presence of flexible alternating current transmission system devices. This article proposes an algorithm that uses intelligent methods to detect LOE faults reliably and quickly, even in the presence or absence of a unified power flow compensator (UPFC), preventing maloperation of the protection system.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Energy & Fuels
Mehrage Ghods, Hamed Gorginpour, Jawad Faiz, Mohammad Amin Bazrafshan, Mohammad Sedigh Toulabi
Summary: This paper presents a fractional-slot spoke-array Vernier-PM machine with a special rotor structure for small scale electric-vehicles. The advantages of this machine include high torque-density, low weight, torque-speed curve with a wide constant torque region, promising efficiency and power-factor. An equivalent-magnetic-network (EMN) model is developed to accurately predict the behavior and operating quantities of the proposed structure.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Automation & Control Systems
Zahra Masoumi, Bijan Moaveni, Sayed Mohammad Mousavi Gazafrudi, Jawad Faiz
Summary: This article presents a signal-model based fault detection, isolation, and estimation approach for diagnosing RCSAW faults in synchronous generators (SGs) by estimating the eigenvalues. The subspace identification method is used to estimate the state matrix eigenvalues, and a form of the characteristic equation is introduced for fault diagnosis of SGs under linear and nonlinear loads. Stator and field currents and voltages, as well as rotor speed, are used for fault diagnosis. The effectiveness of the proposed method is demonstrated through simulation and experimental results on a salient-pole SG in Iran-Safir (ER24) diesel-electric locomotives.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
