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A Study on the Vehicle Antilock System Based on Adaptive Neural Network Sliding Mode Control Math. Probl. Eng. (IF 1.43) Pub Date : 2024-3-11 Yaoping Li, Han Li
Vehicle antilock systems play a very important role in the stability and reliability during vehicle braking. Due to the complexity of the braking process, antilock braking system (ABS) usually face the problems such as nonlinearity, time-varying, and uncertain parameter modeling. Thus, aiming at the parameter model uncertainty problem of ABS, an adaptive neural network sliding mode controller (ADRBF-SMC)
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Optimized Distance-Based Algorithm for Cloud Space—Tourist Route Recommendation for Heritage Town, Pondicherry, India Math. Probl. Eng. (IF 1.43) Pub Date : 2024-3-7 Lakshmi Lakshmanan, Madhumathi A, Sudhakara Pandian R, Subhashini S, Sivakumar Paraman, Velmurugan K, Gianpaolo Di Bona
Architecture, often regarded as a three-dimensional art form, relies on a multitude of abstractions during the design process. In this context, architectural elements are effectively represented through vector-based data processing techniques, offering a canvas for creative exploration. To further our understanding of spatial configurations and generate multiple design insights, mathematical structures
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Post-Fracture Stiffness and Residual Capacity Assessment of Film-Retrofitted Monolithic Glass Elements by Frequency Change Math. Probl. Eng. (IF 1.43) Pub Date : 2024-3-1 Chiara Bedon, Marco Fasan
The primary goal of safety films for glass in buildings is to retrofit existing monolithic elements and prevent, in the post-fracture stage, any fall-out of shards. Their added value is that—as far as the fragments are kept bonded—a cracked film-glass element can ensure a minimum residual mechanical and load-bearing capacity, which is strictly related to the shards interlocking and debond. To prevent
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Blockchain-Based Electronic Voting System: Significance and Requirements Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-24 Said El Kafhali
In a democratic regime, voting is crucial to making collective decisions. Unfortunately, although this activity has great significance and value, little effort has been made to improve the way we vote. Paper ballots are still the most used method, although this method is relatively simple, brings many inconveniences, and represents a contradiction to the modern world and its advances. This paper mostly
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Obstacle Avoidance Path Planning of a 4-DOF Weapon Arm Based on Improved RRT (RRT-H) Algorithm Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-22 Kaifan Zou, Xiaorong Guan, Zhong Li, Huibin Li, Changlong Jiang, Zihui Zhu
To improve soldiers’ combat capability, weapon arms have a good development prospect. However, due to special work scenarios and tasks, new requirements are exerted on. Based on the fast-expanding random tree algorithm (RRT), path algorithm optimization (RRT-H) is proposed for the path planning of weapon arms. Overall path optimization is achieved by reducing the local path length with a closer path
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A Case Study of Tunnel Reinforcement Measure during Traffic Upgrading in Chongqing City, China Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-20 Zhiwei Cai, Tongqing Wu, Hao Zhang, Jie Liu, Zhao Xiang, Ying Tao, Xingfa Feng
Because the urban tunnel is an essential knot of urban traffic and an easy blocking point in busy hours, upgrading the urban tunnel was necessary for the city after the tunnel being in service for a long time. However, to demolish the existing tunnel, some problems may be encountered, and these problems include occurrence of longitudinal cracks at the tunnel vault, increase of load due to infrastructure
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Navigation Path Following Platform for a Greenhouse Shuttle Robot Using the State-flow Method Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-19 Heonjong Yoo, Donkyu Baek, Seong-gon Choi
Localization is an important method for autonomous indoor robots to recognize their positions. Generally, the navigation of a mobile robot is conducted using a camera, Lidar, and global positioning system. However, for an indoor environment, GPS is unavailable. Therefore, a, state-trajectory tracking method is utilized based on a Lidar map. This paper presents the path following of an autonomous indoor
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Development of a Digital Twin Framework for a PV System to Resolve Partial Shading Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-15 Bavithra Karunanidhi, Latha Ramasamy, Albert Alexander Stonier, Charles Raja Sathiasamuel
Digital twin (DT) is a prolific buzzword in this era, where digitization plays a significant role. The perception of solar energy harvesting has been gaining popularity with the advent of solar panels. Solar asset maintenance is a need of the hour for investors because of the smart city scheme and green building certificate evaluation for all industries, educational institutions, etc. Among the list
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Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-15 Diriba Gemechu
In seismic data processing, data recovery including reconstruction of the missing trace and removal of noise from the recorded data are the key steps in improving the signal-to-noise ratio (SNR). The reconstruction of seismic data and removal of noise becomes a sparse optimization problem that can be solved by using sparse regularization. Sparse regularization is a key tool in the solution of inverse
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Existence and Uniqueness of Solutions for Fractional-Differential Equation with Boundary Condition Using Nonlinear Multi-Fractional Derivatives Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-12 Chanon Promsakon, Intesham Ansari, Mecieu Wetsah, Anoop Kumar, Kulandhaivel Karthikeyan, Thanin Sitthiwirattham
In this article the existence as well as the uniqueness (EU) of the solutions for nonlinear multiorder fractional-differential equations (FDE) with local boundary conditions and fractional derivatives of different orders (Caputo and Riemann–Liouville) are covered. The existence result is derived from Krasnoselskii’s fixed point theorem and its uniqueness is shown using the Banach contraction mapping
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A New Integrated Approach for Cloud Service Composition and Sharing Using a Hybrid Algorithm Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-12 Jayaudhaya J., Jayaraj R., Ramash Kumar K.
The concept of a “Smart City” emphasizes the need to employ information and communication technologies to strengthen the quality, connectivity, and efficiency of various municipal services. Cloud computing and the Internet of Things are shaping future tech. Both ideas greatly impact smart city application and solution development. Cloud computing is amazing at managing and storing remote service access
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One-Degree Aerial Device: Control and Experimental Development Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-10 Leonardo Acho, Pablo Buenestado, Gisela Pujol-Vázquez
The ball and beam experimental platform is an unstable nonlinear system widely used as a benchmark control setup for testing different controller approaches, especially for beginners on automatic control to improve their control knowledge skills. In this paper, we innovate it by governing the angular position of the beam with a twin-rotor system. Our experiment consists of a beam that rotates through
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Total Face Irregularity Strength of Certain Graphs Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-8 D. Ahima Emilet, Daniel Paul, R. Jayagopal, Micheal Arockiaraj
The edge -labeling of is defined by a mapping from to a set of integers , where the integer weight assigned to the vertex is given as , such that the sum is taken over every vertex of that is adjacent to and the integer weights of adjacent vertices must be distinct for all vertices with . An irregular assignment of using atmost labels which is considered to be a minimum is defined as irregularity strength
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Research on Nonlinear Vibration of Dual Mass Flywheel Considering Piecewise Linear Stiffness and Damping Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-7 Cuicui Wei, Hongen Niu, Liping Zeng
Nonlinear torsional vibration differential equation of the nested arc-shaped short spring dual mass flywheel (DMF) is established, considering the piecewise linear stiffness and damping of the spring. The first-order approximate analytical solution under sinusoidal excitation and the amplitude–frequency characteristic function are obtained by means of the average method which verified by the Runge–Kutta
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Improving Quality, Productivity, and Cost Aspects of a Sewing Line of Apparel Industry Using TQM Approach Math. Probl. Eng. (IF 1.43) Pub Date : 2024-2-2 Raihan Ahmed Joy, Md Solaiman Hawlader, Md Saifur Rahman, Md. Rafayat Hossain, Shariful Islam Shamim, Hosen Mahmud
Total quality management (TQM) is a methodical strategy to minimize defects through six processes including choosing the manufacturer, gathering information, identifying the issues, analyzing the current situation, and coming up with solutions, putting the plan into action, data collection, and result analysis. The study investigates how quality, productivity, and cost aspects of a sewing line can
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Real-Time Frequency-Tracking Method Based on Interpolated Kalman Filter Using Vibration and Surface Noise Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-30 Chengcheng Li, Yuan Wan, Pingheng Pan, Bian Hu, Junhao Zhang
The variation of frequency is a significant indicator of the operation status of rotating machinery. Generally, the frequency is extracted and tracked in real-time based on the vibration signal produced by the rotating machinery. However, various interferences generated from contact sampling and transmitting result in difficulty in obtaining the frequency correctly in real-time from the vibration.
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Chaotic Wind-Driven Optimization with Hyperbolic Tangent Model and T-Distributed Mutation Strategy Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-29 Da Fang, Jun Yan, Quan Zhou
Meta-heuristic algorithms have the advantages of resilience, global optimization capacity, and coding flexibility, making them helpful in tackling difficult optimization issues. The enhanced wind-driven optimization (CHTWDO) that was proposed in this paper coupled the chaotic map approach and the hyperbolic tangent with the T-distribution mutation method. The initial air particles are evenly distributed
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An Analytical-Based Lightning-Induced Damage Model for an Aircraft Wing Exposed to Pressure Loading of Lightning Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-27 Aysun Soysal, Ibrahim Ozkol, Erol Uzal
Lightning is one of the natural hazards that any aircraft may encounter while navigating. If adequate precautions are not taken against lightning, structural damage, operational disruptions, and loss of life and property can occur. Thus, studying the mechanism of damage caused by lightning strikes in an aircraft’s structural material is necessary to optimize the structure, minimize the damage, and
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Analysis of Age-Structured Mathematical Model of Malaria Transmission Dynamics via Classical and ABC Fractional Operators Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-25 Ademe Kebede Gizaw, Chernet Tuge Deressa
Malaria is a complex disease with many factors influencing the transmission dynamics, including age. This research analyzes the transmission dynamics of malaria by developing an age-structured mathematical model using the classical integer order and Atangana–Baleanu–Caputo fractional operators. The analysis of the model focused on several important aspects. The existence and uniqueness of solutions
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A Framework for Valuation and Portfolio Optimization of Venture Capital Deals with Contractual Terms Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-25 Mohammadreza Valaei, Vahid Khodakarami
Venture capitalists invest not only in the business aspect of a deal but also in its contractual terms. Therefore, the selection of deals and the combination of contractual terms pose challenging decisions for them. This paper consists of two main sections. The first section introduces a novel framework for the valuation of venture capital (VC) deals, including startups and their contractual terms
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A Health Status Assessment Method of Fluid Loop System Based on Hierarchical Multi-Information Fusion Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-25 Rui Li, Junshen Zhang, Hongzheng Fang, Qing Zhang
As a kind of thermal control device, fluid loop systems must operate with the demands of high safety, high reliability, and long life. In order to accurately assess the health status of fluid loop systems, a hierarchical multi-information fusion (HMIF) method is proposed in this paper. Considering that fluid loop systems generally have distinct structural hierarchies, the health evaluation process
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Novel Probabilistic Approach for Quantification of Cost-Overruns Risk and Determination of Primary Causes Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-19 Tianyu Liu, Shen Zhang, Xingyu Wang
Cost management is a crucial component of construction project management, which assumes an increasingly critical role in modern large-scale projects. Ideally, cost management is achieved through a comparison between the current cost and the predetermined cost schedule. However, in real-world projects, it is often difficult to consistently obtain accurate costs for each cost item throughout the project
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Few More Series of Reciprocals with Binomial Coefficients and Their Evaluations Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-16 Shruthi C. Bhat, M. Krithi, B. R. Srivatsa Kumar
In the present work, utilizing the known series, new series involving reciprocals of binomial coefficients, alternating positive, and negative binomial coefficients are constructed. Further, several new series of reciprocals of binomial coefficients with two odd terms in the denominator are obtained. In the end, we use these to establish the closed form evaluations of hypergeometric functions for the
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Innovative Solutions for the Kadomtsev–Petviashvili Equation via the New Iterative Method Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-16 Belal Batiha
This research paper presents a new iterative method (NIM) for obtaining the solution to the potential Kadomtsev–Petviashvili (PKP) equation. NIM is a promising approach to solving complex mathematical problems, and its effectiveness and efficiency are highlighted through its application to the PKP equation. The results obtained through the use of NIM are compared to the exact solutions of the PKP equation
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Splitting Long Event Sequences Drawn from Cyclic Processes for Discovering Workflow Nets Math. Probl. Eng. (IF 1.43) Pub Date : 2024-1-3 Yolanda Alvarez-Pérez, Ernesto López-Mellado
This paper addresses the preprocessing of event sequences issued from cyclic discrete event processes, which perform activities continuously whose delimitation of jobs or cases is not explicit. The sequences include several occurrences of the same events due to the iterative behaviour, such that discovery methods conceived for workflow nets (WFN) cannot process such sequences. In order to handle this
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Numerical Study of Wax Deposition from Multiphase Flow in Oil Pipelines with Heat and Mass Transfer Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-30 Francis Oketch Ochieng, Mathew Ngugi Kinyanjui, Phineas Roy Kiogora, Jeconia Okelo Abonyo
Wax deposition in field-scale crude oil pipelines poses a significant challenge to the oil and gas industry, leading to reduced flow rates, increased pressure drops, and potential blockages. Understanding the mechanisms governing wax deposition is crucial for developing effective mitigation strategies. This study investigates the impact of multiphase flow conditions, including water-in-oil emulsion
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Stabilization and Discretization of the Coupled Heat and Wave Equations Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-27 Kun-Yi Yang, Xu Zhang
In this paper, we consider the stabilization of the coupled heat and wave equations under the static feedback or the dynamic feedback. Moreover, we make the coupled systems discretized by using the finite-volume approach, and then we consider the stabilized properties of the discrete systems. First, for the coupled system under the static feedback, it is shown that the system is exponentially stable
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A Two-Archive Algorithm with Interactive Mechanism for Many-Objective Optimization Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-19 Shuren Liu, Shuping Li, Changchun Li, Changning Cai, Guojian Cheng
This paper proposes an interactive two-archive method to solve many-objective optimization problems. Two updating strategies based on the aggregation-based framework are presented and incorporated into a two-archive framework. In addition, we further extend this method by introducing an interactive mechanism in which evolutionary information is passed from the diversity archive to the convergence archive
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Detection of Human Stress Using Optimized Feature Selection and Classification in ECG Signals Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-13 Narmadha G, Deivasigamani S, Muthukumar Vellaisamy, Lídio Inácio Freitas, Badlishah Ahmad R, Sakthivel B
An autonomic nervous system (ANS) of humans is majorly affected by psychological stress. The changes in ANS may cause several chronic diseases in humans. The electrocardiogram (ECG) signal is used to observe the variation in ANS. Numerous techniques are presented for an ECG stress signal handling feature extraction and classification. This work managed a heart rate variability feature acquired from
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Forecasting Credit Risk of SMEs in Supply Chain Finance Using Bayesian Optimization and XGBoost Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-11 Chen Zhang, Xinmiao Zhou
Supply chain finance plays a crucial role as a financing channel for small- and medium-sized enterprises (SMEs). However, issues such as financial problems and credit defaults have led to disruptions in this channel. To address credit risk control in SME financing within the field of supply chain finance, this paper focuses on a sample of 506 equipment manufacturing companies listed on the SME board
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Feature Aggregation with Two-Layer Ensemble Framework for Multilingual Speech Emotion Recognition Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-11 Sangho Ough, Sejong Pyo, Taeyong Kim
In this study, we present a framework for improving the accuracy of speech emotion recognition in a multilingual environment. In our prior experiments, where machine learning (ML) models were trained to predict emotions in Korean and then tested in English, as well as vice versa, we observed a dependency on language in emotion recognition, resulting in poor accuracy. We suspect that this may be related
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A Chaotic Multi-Objective Runge–Kutta Optimization Algorithm for Optimized Circuit Design Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-7 Owen M. Nyandieka, Davies R. Segera
Circuit design plays a pivotal role in engineering, ensuring the creation of efficient, reliable, and cost-effective electronic devices. The complexity of modern circuit design problems has led to the exploration of multi-objective optimization techniques for circuit design optimization, as traditional optimization tools fall short in handling such problems. While metaheuristic algorithms, especially
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An Energy Efficient Evolutionary Approach for Smart City-Based IoT Applications Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-7 Rashmi Prava Das, Tushar Kanta Samal, Ashish Kr. Luhach
Internet of Things (IoT) has been used in smart cities, agriculture, weather forecasting, smart grids, and waste management. The IoT has huge potential but needs refinement. The paper focuses on lowering IoT sensor power consumption to improve network life. This work selects the best IoT cluster header (CH) to maximize energy consumption. The suggested technique uses particle swarm optimization (PSO)
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Solving Partial Differential Equations of Fractional Order by Using a Novel Double Integral Transform Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-6 Shams A. Ahmed, Tarig M. Elzaki, Anis Mohamed
In this work, the double Sumudu–Elzaki transform was used for solving fractional-partial differential equations (FPDEs) with starting and boundary conditions. We will use the fractional-order derivative (Caputo’s derivatives) idea. Theorems and facts that are crucial to the newly introduced transform are also discussed and illustrated. By using this newly designed integral transform and its properties
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Machining Characteristics Investigations of DSS-2205 Using RSM–ANN and Gray Relational Analysis Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-5 Endalkachew Mosisa Gutema, Mahesh Gopal
DSS has low machinability characteristics due to its high strength, machining is complicated, and careful attention is required when selecting machining parameters. The main criteria discussed in this paper concern the turning optimization parameters and machining time reduction of DSS 2205 as the work material. The input parameters are cutting velocity, feeds, cutting depth, and tooltip nose radius
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Failure Analysis of Tubing Collapse in a Gas Well Math. Probl. Eng. (IF 1.43) Pub Date : 2023-12-1 Jinlan Zhao, Ke Tong, Junjie Lei, Xiaoliang Bai, Dongfeng Li, Zhaoxi Shen, Tingting Qu, Xiaolong Li
The tubing used in a gas well rarely collapses and fails during applying annulus pressure. In this study, the failure causes of tubing collapse were analyzed by means of data verification, macroscopic observation, magnetic particle inspection, physical and chemical inspection, optical microscopy, and tubing collapse test. Mechanical analysis of the string and full-scale physical simulation test simulating
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Optimize Ranking and Load Shedding in Microgrid Considering Improved Analytic Hierarchy Process Algorithm and Power Stability Index Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-29 Trong Nghia Le, Hoang Minh Vu Nguyen, Thai An Nguyen, Trieu Tan Phung, Thi Thu Hien Huynh, Quang Tien Nguyen
This paper proposes a load shedding model for the island microgrid based on the ranking of loads and the power stability index (PSI). Loads are ranked based on the improved analytic hierarchy process (AHP) algorithm. Real-time measurement systems have the function of collecting data for very important, important, and less-important loads at each bus load. From this data, the improved AHP method is
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Dynamics and Control of a Discrete Predator–Prey Model with Prey Refuge: Holling Type I Functional Response Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-27 Sarker Md. Sohel Rana, Md. Jasim Uddin
In this study, we examine the dynamics of a discrete-time predator–prey system with prey refuge. We discuss the stability prerequisite for effective fixed points. The existence criteria for period-doubling (PD) bifurcation and Neimark–Sacker (N–S) bifurcation are derived from the center manifold theorem and bifurcation theory. Examples of numerical simulations that demonstrate the validity of theoretical
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Developing Control Strategy for PV-Based Distributed Generator for Enhancing Frequency Regulation of Microgrid Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-27 Hoang Minh Vu Nguyen, Trong Nghia Le
This paper presents a control strategy for a photovoltaic (PV)-based distributed generator (DG) to enhance the frequency regulation of a microgrid. A microgrid is a small-scale power system that integrates distributed energy sources and interconnected loads, which can operate independently or in parallel with the main grid. However, the high integration of DGs poses stability problems, particularly
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Finite Element and Vibration Frequency Analysis of Cracked Solid Beams: A Comparison of Iron, Steel, and Titanium Materials Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-21 Rajib Karmaker, Ujjwal Kumar Deb
Different solid materials are widely used in various constructions due to their availability and low cost. However, cracks or conversions in the structures can affect their stiffness and vibration signatures. This research aims to evaluate the load distribution, deformation, and the effects of the cracks on the natural frequencies and deformations of iron, steel, and titanium beams. A finite element-based
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Soliton Solutions to the BA Model and (3 + 1)-Dimensional KP Equation Using Advanced -Expansion Scheme in Mathematical Physics Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-21 HZ Mawa, S. M. Rayhanul Islam, Md. Habibul Bashar, Md. Mamunur Roshid, Jahedul Islam, Sadia Akhter
In this manuscript, the primary motivation is the implementation of the advanced -expansion method to construct the soliton solution, which contains some controlling parameters of two distinct equations via the Biswas–Arshed model and the (3 + 1)-dimensional Kadomtsev–Petviashvili equation. Here, the solutions’ behaviors are presented graphically under some conditions on those parameters. The height
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Mathematical Analysis of the Impact of French Standardization Strategy and Electric Vehicle Development on the Breakthrough Development of EVs in China Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-14 Linfeng Wu, Junhui Liu, Peng Liu, Dan Cong
The problems of operating range and costs are the two most critical bottlenecks restricting the extensive application of electric vehicles (EVs) in China and some other countries. There are also some prominent problems in China’s EVs, which lead to poor competitiveness of EVs compared with traditional internal combustion engine vehicles. This paper analyzes the key mathematical factors restricting
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Influences of Wind Deviation on the Ground Resultant Electric Field under Parallel Operation of 750-kV Ultra-High-Voltage Alternating Current and ±800-kV Extra-High-Voltage Direct Current Transmission Lines Passing through Residential Areas in a High-Altitude Area Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-14 Hui Liu, Xujun Lang, Ziyang Li, Zhibing Sun, Shilong Huang
The formation mechanism of the resultant electric field is complex under parallel operation of extra-high-voltage alternating current (AC)/direct current (DC) transmission lines. However, existing methods are computationally expensive and fail to guarantee the stability and convergency of results. To solve this problem, a calculation method with nonuniform grids and varying time steps was proposed
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Design of Single Input Dual Output DC–DC Converter for Electric Vehicle Application Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-14 Sankara Kumar S, Ramash Kumar K
DC–DC converters are playing a vital in the electric vehicles (EVs) application. In current EVs, a separate DC–DC converter is used to charge both in the low voltage and the high-voltage batteries. These factors have resulted in higher output voltage ripples, higher switching and device conduction losses, all of which can have an impact on EV performance. In addition, the previous mulitport converters
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Retailer-to-Individual Customer Product Supply Strategies Under a Semireal Demand Pattern Math. Probl. Eng. (IF 1.43) Pub Date : 2023-11-6 Zhiyi Zhuo, Shuhong Chen, Weihua Lin, Hong Yan, Yue He
In the consumer goods supply chain, there are three different modes of demand: real, false, and semireal. It is an interesting topic to discuss the optimal profit of enterprises according to these three demand patterns. This paper develops three mathematical models that can be used to investigate the factors that affect retailers with respect to the design of product supply strategies for individual
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Analysis of Inherent Characteristics of Two-Speed Planetary Gear Transmission System Math. Probl. Eng. (IF 1.43) Pub Date : 2023-10-26 Wuzhong Tan, Zhibin Zheng, Xueshen Wu, Enming Xiang, Yixiong Yan
In the helicopter transmission system, because the two-speed gear planetary transmission system without power interruption adopts the design of a double planetary gear system, the complexity of the structure leads to the time-varying meshing stiffness, tooth surface friction and the interaction between components and other nonlinear factors are uncontrollable, and causes the helicopter transmission
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Risk and Reliability Assessment of Metal Lathe Machining Operation with DBN-FFTA Hybrid Approach Math. Probl. Eng. (IF 1.43) Pub Date : 2023-10-20 Hassan Mandali, Fakhradin Ghasemi, Ali Asghar Farshad, Saber Moradi Hanifi, Kamaladdin Abedi, Mohammad Ghorbani, Hossein Ebrahimi
A metal lathe is a high-performance tool used in the field of metalworking to remove excess material and shape metal parts. However, engaging in metal turning operations carries risks that can lead to serious accidents and physical harm. It is crucial to ensure that these systems are functioning correctly, as any malfunction or flaw can lead to dangerous situations. To maintain safety in industrial
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A Methodology Based on 1D-CNN and Bootstrap Method to Estimate the Remaining Useful Life of Industrial Assets Suffering from Generalized Corrosion Math. Probl. Eng. (IF 1.43) Pub Date : 2023-10-20 M. H. Belonsi, A. M. G. de Lima, M. A. V. Duarte, R. N. Ferraresi, W. C. D. da Silva
The main goal of this work is to propose an efficient and accurate modern methodology to estimate the useful life of industrial assets used in oil and gas industry suffering from generalized corrosion. It merges the convolutional neural networks, extreme value theory, and bootstrap methods to handle the available corrosion data obtained through nondestructive inspection techniques for structural integrity
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Investigations to the Dynamics of City-Size Distribution Containing Birth and Death Factors Math. Probl. Eng. (IF 1.43) Pub Date : 2023-10-13 Xue Xia, Wenyi Huang
A kinetic model, which involves emigration, immigration, birth, death, and fluctuation terms, is utilized to investigate the evolution of city-size distribution. The Boltzmann-type equation and the corresponding Fokker–Planck equation are obtained to analyze the urban size distribution. Three different population variable functions, containing both birth and death rates, are considered. For each population
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A Fault and Capacity Loss Prediction Method of Wind Power Station under Extreme Weather Math. Probl. Eng. (IF 1.43) Pub Date : 2023-10-9 Ling Li, Yixin Zhuo, Wenchuan Meng, Ze Chen, Heng Wei
Extreme weather events can severely affect the operation and power generation of wind farms and threaten the stability and safety of grids with high penetration of renewable energy. Therefore, it is crucial to forecast the failure and capacity loss of wind farms under extreme weather conditions. To this end, considering the disaster-causing mechanism of severe weather and the operational characteristics
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-Rung Orthopair Picture Fuzzy Topological Spaces and Parameter-Dependent Continuity: Control System Applications Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-30 Mehmet Ünver, Murat Olgun
This paper presents novel concepts in fuzzy topologies, namely -rung orthopair picture fuzzy (-ROPF) topology and -rung orthopair picture fuzzy point (-ROPFP). These concepts extended the existing notions in fuzzy topologies. We introduced a more relaxed form of continuity, called -ROPF continuity, which allows for a flexible analysis of functions between -ROPF topological spaces by incorporating an
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Performance Improvement of Hybrid System Using Bidirectional MIEC for Portable Device Charger Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-30 S. Rathinamala, S. Manoharan, S. Chandrakala, K. Ramash Kumar
In this paper, a novel bidirectional multi-input energy harvesting converter (MIEC) for portable device charger is presented. Switches that are separately regulated using different duty ratios are used in the design of such an MIEC power converter. The peak power of the photovoltaic sources may be tracked using such duty ratios, and the battery power can also be managed. The switch with two directions
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A Novel Architecture for the Smart Pedestrian Crossing in Cities Using IoT-Based Approach Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-26 Manish Bhardwaj, Shweta Singh, Shivali Tyagi, Arun Tripathi, Yu-Chen Hu, Rajesh Kumar Tewari, Anupama Sharma
Pedestrian crossings have also been highlighted as one of the most dangerous locations in the transportation field. Because people and vehicles share the road, a crosswalk improves the road’s efficiency in a densely populated region. However, as the population grows, more accidents and serious injuries occur, and as a result, nationalities are attempting to reduce these incidents through marketing
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Some New Fractional Weighted Simpson Type Inequalities for Functions Whose First Derivatives Are Convex Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-25 Badreddine Meftah, Hamid Boulares, Ramsha Shafqat, A. Ben Makhlouf, Ramzi Benaicha
The goal of this paper is to establish some weighted Simpson type inequalities for functions whose first derivatives are convex involving Reimann–Liouville integral operators. In order to obtain our results, we first prove a new integral identity as an auxiliary result. Based on this identity we establish some fractional weighted Simpson type inequalities for functions whose modulus of the first derivatives
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Robust Secure Beamforming for Multiantenna Relay Networks with Multiple Eavesdroppers Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-21 Yuchong Li, Lijian Zhang, Dong Wei
Physical layer security has recently emerged as a promising approach to achieve security and communication integration. The built-in security mechanism based on the characteristics of the wireless channel provides a feasible idea for the realization of “one secret at a time.” It has significant potential applications in high-rate data transmission encryption, authentication, integrity protection of
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Dynamic Analysis of Marine Drilling Risers Considering Steady Current, Surface Wave, Internal Solitary Wave, and Vessel Motion Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-20 Guanghai Gao, Yulong Li, Xiao Cong, Kunshan Xu, Yunjing Cui
In this paper, considering combined excitations of the steady current, surface wave, internal solitary wave as well as, the vessel’s surge and heave motions, a time-domain model is established to investigate the lateral dynamic response of marine drilling risers. The finite element and Newmark-β methods are used to solve the nonlinear partial differential equation in the time-domain. The entire numerical
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Analysis and Detection of Road Traffic Accident Severity via Data Mining Techniques: Case Study Addis Ababa, Ethiopia Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-15 Demeke Endalie, Wondmagegn Taye Abebe
Around the world, road traffic accidents are the leading cause of serious injuries and deaths. Ethiopia is one of the countries that suffer the most from traffic accidents. Every government in every country wants to keep its citizens safe from accidents. To keep people safe from accidents, it is necessary to conduct a detailed analysis of the factors that contribute to high-severity accidents and deaths
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A 14-Order Hybrid Block Method in Variable Step-Size Mode for Solving Second-Order Initial Value Problems Math. Probl. Eng. (IF 1.43) Pub Date : 2023-9-1 Samuel N. Jator, Higinio Ramos, Mark I. Modebei
The search for efficient higher order methods is a constant goal in numerical analysis. In this paper, a higher order two-step hybrid block method is presented to directly solve second-order initial value problems in ordinary differential equations. In addition to the higher order, the proposed method has been formulated in variable step-size mode to extract its best performance. Comparisons with other
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A Mathematical Optimization Model for the Pharmaceutical Waste Location-Routing Problem Using Genetic Algorithm and Particle Swarm Optimization Math. Probl. Eng. (IF 1.43) Pub Date : 2023-8-29 Sina Aghakhani, Parmida Pourmand, Mobin Zarreh
Pharmaceutical waste management is a significant concern that poses risks to human and environmental health. The ineffective management of expired and unused medications can harm individuals and communities. This study proposes a novel approach to address the issue of pharmaceutical waste management by developing a location-routing problem (LRP) model using mixed-integer linear programing (MILP) to
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Selective Maintenance Strategy for a Finite Planning Horizon Considering Imperfect Maintenance Math. Probl. Eng. (IF 1.43) Pub Date : 2023-8-26 Shun Gao, Fei Zhou, Jiaqing Tu, Gang Luo
Most selective maintenance research strategies ignore the comprehensive evaluation of numerous following missions in favor of focusing just on the reliability of the next mission. In the same circumstance, however, assessing simply impending missions differs from considering the overall system’s maintenance planning outcomes. In this study, a decision-making model for selective maintenance is developed