This research investigates the interplay of spatial arrangement and pedestrian behaviour in Toowoomba City Centre, a low-density city in Australia, using a combination of quantitative and qualitative analysis through Space Syntax. In contrast to high-density and medium-density areas where street connectivity typically drives movement patterns, this study emphasises the significant roles of both syntactical factors and land-use mapping in low-density contexts. The study identifies a correlation between pedestrian activity and land-use mapping and compatibility in low-density areas, advocating for strategic land-use planning within a 150–320-metre radius. It demonstrates that while traditional syntactic metrics are relevant, pedestrian movement in low-density areas is more significantly influenced by land-use diversity and compatibility during daytime hours (1–3 PM). Both syntactical factors and land-use are also crucial for attracting pedestrians during evening and night hours (6–8 PM). These findings highlight the importance of place-making strategies to foster vibrant, pedestrian-friendly environments.
{"title":"The influence of spatial configuration on pedestrian movement behaviour in commercial streets of low-density cities","authors":"Elham Mehrinejad Khotbehsara , Kathirgamalingam Somasundaraswaran , Tracy Kolbe-Alexander , Rongrong Yu","doi":"10.1016/j.asej.2024.103184","DOIUrl":"10.1016/j.asej.2024.103184","url":null,"abstract":"<div><div>This research investigates the interplay of spatial arrangement and pedestrian behaviour in Toowoomba City Centre, a low-density city in Australia, using a combination of quantitative and qualitative analysis through Space Syntax. In contrast to high-density and medium-density areas where street connectivity typically drives movement patterns, this study emphasises the significant roles of both syntactical factors and land-use mapping in low-density contexts. The study identifies a correlation between pedestrian activity and land-use mapping and compatibility in low-density areas, advocating for strategic land-use planning within a 150–320-metre radius. It demonstrates that while traditional syntactic metrics are relevant, pedestrian movement in low-density areas is more significantly influenced by land-use diversity and compatibility during daytime hours (1–3 PM). Both syntactical factors and land-use are also crucial for attracting pedestrians during evening and night hours (6–8 PM). These findings highlight the importance of place-making strategies to foster vibrant, pedestrian-friendly environments.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103184"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103193
Aqsa Zafar Abbasi , Ayesha Rafiq , Badr M. Alshammari
The parametrization of the action of the modular group for the triangle groups is extended for to the finite generalised triangle groups where . Also, based on the resulting parametric equations, the authors have presented an audio encryption approach in this study. The extremely secure S-Box, which is then utilised to encrypt audio signals, is built using parametric equations. Utilising several audio sources, the effectiveness of the current approach is assessed. According to the simulation specially differential analysis average NSCR 99.96% and average UACI 33.33% as well as comparison results, the recommended method might prevent cryptographic vulnerabilities and produce reliable encryption results.
{"title":"A digital audio data protection method using parametric action of generalised triangle group on GF(28)","authors":"Aqsa Zafar Abbasi , Ayesha Rafiq , Badr M. Alshammari","doi":"10.1016/j.asej.2024.103193","DOIUrl":"10.1016/j.asej.2024.103193","url":null,"abstract":"<div><div>The parametrization of the action of the modular group <span><math><mi>P</mi><mi>S</mi><mi>L</mi><mo>(</mo><mn>2</mn><mo>,</mo><mi>Z</mi><mo>)</mo></math></span> for the triangle groups is extended for <span><math><mi>Δ</mi><mrow><mo>(</mo><mn>2</mn><mo>,</mo><mn>3</mn><mo>,</mo><mi>k</mi><mo>)</mo></mrow></math></span> to the finite generalised triangle groups <span><math><mo>〈</mo><mi>u</mi><mo>,</mo><mi>v</mi><mo>|</mo><msup><mrow><mi>u</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><msup><mrow><mi>v</mi></mrow><mrow><mn>3</mn></mrow></msup><mo>=</mo><msup><mrow><mi>w</mi></mrow><mrow><mi>k</mi></mrow></msup><mo>=</mo><mn>1</mn><mo>〉</mo></math></span> where <span><math><mi>w</mi><mo>=</mo><mi>u</mi><mi>v</mi><mi>u</mi><mi>v</mi><mi>u</mi><msup><mrow><mi>v</mi></mrow><mrow><mn>2</mn></mrow></msup><mi>u</mi><mi>v</mi><mi>u</mi><msup><mrow><mi>v</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>. Also, based on the resulting parametric equations, the authors have presented an audio encryption approach in this study. The extremely secure S-Box, which is then utilised to encrypt audio signals, is built using parametric equations. Utilising several audio sources, the effectiveness of the current approach is assessed. According to the simulation specially differential analysis average NSCR 99.96% and average UACI 33.33% as well as comparison results, the recommended method might prevent cryptographic vulnerabilities and produce reliable encryption results.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103193"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103205
Mahmoud E. Farfoura , Ibrahim Mashal , Ahmad Alkhatib , Radwan M. Batyha , Didi Rosiyadi
In recent years, the number of smart objects connected through the Internet of Things (IoT) has increased significantly. These smart objects are susceptible to cybersecurity threats and are easily affected by IoT malware. Malwares, if not detected, can harm different components of the IoT: smart objects, communication network, and the applications, leading to data theft and privacy breach. Despite that machine learning is incredibly successful at detecting malware, it cannot be deployed in IoT environment due to its computation complexity and high processing resources it demands. This paper proposes a lightweight machine learning framework for real-time IoT malware detection with limited computing burden. The framework is based on novel feature extraction technique; the Matrix Block Mean Downsampling (MBMD), and various machine learning algorithms are implemented. The experiments carried out on BODMAS dataset show the superiority of the proposed approach in detecting IoT malware with an F1-score of more than 99%.
{"title":"A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling","authors":"Mahmoud E. Farfoura , Ibrahim Mashal , Ahmad Alkhatib , Radwan M. Batyha , Didi Rosiyadi","doi":"10.1016/j.asej.2024.103205","DOIUrl":"10.1016/j.asej.2024.103205","url":null,"abstract":"<div><div>In recent years, the number of smart objects connected through the Internet of Things (IoT) has increased significantly. These smart objects are susceptible to cybersecurity threats and are easily affected by IoT malware. Malwares, if not detected, can harm different components of the IoT: smart objects, communication network, and the applications, leading to data theft and privacy breach. Despite that machine learning is incredibly successful at detecting malware, it cannot be deployed in IoT environment due to its computation complexity and high processing resources it demands. This paper proposes a lightweight machine learning framework for real-time IoT malware detection with limited computing burden. The framework is based on novel feature extraction technique; the Matrix Block Mean Downsampling (MBMD), and various machine learning algorithms are implemented. The experiments carried out on BODMAS dataset show the superiority of the proposed approach in detecting IoT malware with an F1-score of more than 99%.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103205"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103178
Adil Jhangeer , Beenish , Lubomír Říha
The study aims to analyze conservation laws and dynamics of the dual-mode Gardner equation for ideal fluid models. Lie symmetry analysis is applied to find symmetry generators, which in turn describe translation symmetries and abelian algebra. Lie theory converts the equation into a nonlinear ordinary differential equation using similarity variables. The model is transformed into a planar dynamical system via Galilean transformation, with phase portraits generated using bifurcation parameters. Runge–Kutta method is utilized to compute both super nonlinear and nonlinear wave solutions, with all solutions illustrated in the phase plane. Sensitivity and multistability analysis are conducted to examine chaotic behavior, quasiperiodic dynamics, and time series. Lyapunov characteristic exponents are discussed for chaos assessment. Numerical simulations reveal significant dynamical changes with alterations in frequencies and amplitude values. Explicit solutions are constructed via the power series method. Exploration of phase velocity and dispersion effects on the equation is done through modulation instability criteria. The multiplier scheme characterizes conserved vectors.
{"title":"Symmetry analysis, dynamical behavior, and conservation laws of the dual-mode nonlinear fluid model","authors":"Adil Jhangeer , Beenish , Lubomír Říha","doi":"10.1016/j.asej.2024.103178","DOIUrl":"10.1016/j.asej.2024.103178","url":null,"abstract":"<div><div>The study aims to analyze conservation laws and dynamics of the dual-mode Gardner equation for ideal fluid models. Lie symmetry analysis is applied to find symmetry generators, which in turn describe translation symmetries and abelian algebra. Lie theory converts the equation into a nonlinear ordinary differential equation using similarity variables. The model is transformed into a planar dynamical system via Galilean transformation, with phase portraits generated using bifurcation parameters. Runge–Kutta method is utilized to compute both super nonlinear and nonlinear wave solutions, with all solutions illustrated in the phase plane. Sensitivity and multistability analysis are conducted to examine chaotic behavior, quasiperiodic dynamics, and time series. Lyapunov characteristic exponents are discussed for chaos assessment. Numerical simulations reveal significant dynamical changes with alterations in frequencies and amplitude values. Explicit solutions are constructed via the power series method. Exploration of phase velocity and dispersion effects on the equation is done through modulation instability criteria. The multiplier scheme characterizes conserved vectors.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103178"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103182
Khairul Habib Alam , Yumnam Rohen , Anita Tomar , Mohammad Sajid
In this work, we introduce novel postulates to establish fixed figure theorems with a focus on their extension to the domain of metric spaces. Consequently, we define conditions ensuring the existence and uniqueness of fixed circles, fixed ellipses, fixed Apollonius circles, fixed Cassini curves, fixed hyperbola, and so on for self mapping. We also partially address an open problem demonstrating that a contraction possesses a fixed elliptic disc. This property extends to smaller discs and ellipses within a complete metric space. By challenging the conventional assumption of zero self-distance, we pave the way for more accurate mathematical models applicable to real-world scenarios. Consequently, our research contributes not only to a deeper comprehension of mathematical concepts but also to practical utility across various scientific domains. Our findings are supported by illustrative examples. Additionally, we explore the concept of fixed figures in the context of Rectified Linear Unit (ReLU), a widely-used activation function in neural networks and machine learning models. Our exploration of fixed figures in the context of Rectified Linear Units (ReLU) further deepens our understanding of nonlinear systems and their relationship to neural network behavior.
{"title":"On geometry of fixed figures via φ−interpolative contractions and application of activation functions in neural networks and machine learning models","authors":"Khairul Habib Alam , Yumnam Rohen , Anita Tomar , Mohammad Sajid","doi":"10.1016/j.asej.2024.103182","DOIUrl":"10.1016/j.asej.2024.103182","url":null,"abstract":"<div><div>In this work, we introduce novel postulates to establish fixed figure theorems with a focus on their extension to the domain of <span><math><msubsup><mrow><mi>m</mi></mrow><mrow><mi>v</mi></mrow><mrow><mi>b</mi></mrow></msubsup><mo>−</mo></math></span>metric spaces. Consequently, we define conditions ensuring the existence and uniqueness of fixed circles, fixed ellipses, fixed Apollonius circles, fixed Cassini curves, fixed hyperbola, and so on for self mapping. We also partially address an open problem demonstrating that a <span><math><mi>J</mi><mi>S</mi><mo>−</mo></math></span>contraction possesses a fixed elliptic disc. This property extends to smaller discs and ellipses within a complete <span><math><msubsup><mrow><mi>m</mi></mrow><mrow><mi>v</mi></mrow><mrow><mi>b</mi></mrow></msubsup><mo>−</mo></math></span>metric space. By challenging the conventional assumption of zero self-distance, we pave the way for more accurate mathematical models applicable to real-world scenarios. Consequently, our research contributes not only to a deeper comprehension of mathematical concepts but also to practical utility across various scientific domains. Our findings are supported by illustrative examples. Additionally, we explore the concept of fixed figures in the context of Rectified Linear Unit (ReLU), a widely-used activation function in neural networks and machine learning models. Our exploration of fixed figures in the context of Rectified Linear Units (ReLU) further deepens our understanding of nonlinear systems and their relationship to neural network behavior.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103182"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103189
Muhammad Swaileh A. Alzaidi , Alya Alshammari , Abdulkhaleq QA Hassan , Shouki A. Ebad , Hanan Al Sultan , Mohammed A. Alliheedi , Ali Abdulaziz Aljubailan , Khadija Abdullah Alzahrani
Text Classification is the traditional Natural Language Processing (NLP) task. Text classification (also known as categorization) has become a cutting-edge research area in recent years. However, this task has received less attention in Arabic due to the need for more extensive resources for training Arabic text classifiers. In the area of text classification for Arabic news articles, deep learning (DL) methods, namely recurrent neural network (RNN) and convolutional neural network (CNN), were effectively used. This model is trained on labelled datasets around many news topics to automatically categorize articles into predetermined classes. These DL techniques can efficiently discern the subject matter by leveraging the contextual and semantic data embedded in the Arabic text, enabling accurate classification. This application of DL facilitates effective retrieval and organization of Arabic news articles, which supports tasks such as personalized content recommendations, information retrieval, and summarization. Therefore, this study presents an Enhanced Automated Text Categorization via Aquila Optimizer with Deep Learning for Arabic News Articles (TCAODL-ANA) technique. The TCAODL-ANA technique aims to detect and classify Arabic news articles into seven classes. The TCAODL-ANA technique follows pre-processing and the FastText word embedding process to accomplish this. In addition, the TCAODL-ANA technique utilizes an effective attention-based bidirectional gated recurrent unit (ABiGRU) method to identify various news articles. To enhance the detection results of the ABiGRU method, the AO model is employed for the hyperparameter selection process. A comprehensive simulation evaluation is performed to emphasize the improved performance of the TCAODL-ANA technique. The investigational validation portrayed the superior outcomes of the TCAODL-ANA technique over existing techniques.
{"title":"Enhanced automated text categorization via Aquila optimizer with deep learning for Arabic news articles","authors":"Muhammad Swaileh A. Alzaidi , Alya Alshammari , Abdulkhaleq QA Hassan , Shouki A. Ebad , Hanan Al Sultan , Mohammed A. Alliheedi , Ali Abdulaziz Aljubailan , Khadija Abdullah Alzahrani","doi":"10.1016/j.asej.2024.103189","DOIUrl":"10.1016/j.asej.2024.103189","url":null,"abstract":"<div><div>Text Classification is the traditional Natural Language Processing (NLP) task. Text classification (also known as categorization) has become a cutting-edge research area in recent years. However, this task has received less attention in Arabic due to the need for more extensive resources for training Arabic text classifiers. In the area of text classification for Arabic news articles, deep learning (DL) methods, namely recurrent neural network (RNN) and convolutional neural network (CNN), were effectively used. This model is trained on labelled datasets around many news topics to automatically categorize articles into predetermined classes. These DL techniques can efficiently discern the subject matter by leveraging the contextual and semantic data embedded in the Arabic text, enabling accurate classification. This application of DL facilitates effective retrieval and organization of Arabic news articles, which supports tasks such as personalized content recommendations, information retrieval, and summarization. Therefore, this study presents an Enhanced Automated Text Categorization via Aquila Optimizer with Deep Learning for Arabic News Articles (TCAODL-ANA) technique. The TCAODL-ANA technique aims to detect and classify Arabic news articles into seven classes. The TCAODL-ANA technique follows pre-processing and the FastText word embedding process to accomplish this. In addition, the TCAODL-ANA technique utilizes an effective attention-based bidirectional gated recurrent unit (ABiGRU) method to identify various news articles. To enhance the detection results of the ABiGRU method, the AO model is employed for the hyperparameter selection process. A comprehensive simulation evaluation is performed to emphasize the improved performance of the TCAODL-ANA technique. The investigational validation portrayed the superior outcomes of the TCAODL-ANA technique over existing techniques.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103189"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103210
Muhammad Arshad , Muhammad Attar Umer , Changjin Xu , Abdulrahman A. Almehizia , Faisal Yasin
The nonlinear Schrödinger equation (NLSE) is a fundamental nonlinear model renowned for its accurate description of light pulse propagation in optical fibers. The unstable NLSE, a universal equation in nonlinear integrable systems, governs instabilities in modulated wave trains and characterizes the temporal progression of disturbances in near-stable or unstable media. This article analytically explores the nonlinear dynamics of the uNLSE, employing three symbolic computation methods: the three-wave (TW) approach, the positive-quadratic function (PQF) approach, and the double exponential (DE) approach. Our analysis yields novel exact solutions and multi-wave solutions, including rational solitons, breathers, and various wave types associated with this model. These results are derived using the ansatz function method and symbolic computation, including transformations involving logarithmic and traveling waves. The wave solutions obtained significantly deepen our apprehension of the physical phenomena within this intricate model. Additionally, we computed conserved quantities such as momentum, power, and energy associated with the solitons. The modulational instability (MI) analysis is utilized to evaluate the stability of the uNLSE, which confirmed the exactness and stability of all soliton solutions. Through the selection of appropriate parameter values, we produced 3D and contour visualizations in forms such as lump waves, breather-sort waves, and multi-peak solitons.
{"title":"Exploring conversation laws and nonlinear dynamics of the unstable nonlinear Schrödinger equation: Stability and applications","authors":"Muhammad Arshad , Muhammad Attar Umer , Changjin Xu , Abdulrahman A. Almehizia , Faisal Yasin","doi":"10.1016/j.asej.2024.103210","DOIUrl":"10.1016/j.asej.2024.103210","url":null,"abstract":"<div><div>The nonlinear Schrödinger equation (NLSE) is a fundamental nonlinear model renowned for its accurate description of light pulse propagation in optical fibers. The unstable NLSE, a universal equation in nonlinear integrable systems, governs instabilities in modulated wave trains and characterizes the temporal progression of disturbances in near-stable or unstable media. This article analytically explores the nonlinear dynamics of the uNLSE, employing three symbolic computation methods: the three-wave (TW) approach, the positive-quadratic function (PQF) approach, and the double exponential (DE) approach. Our analysis yields novel exact solutions and multi-wave solutions, including rational solitons, breathers, and various wave types associated with this model. These results are derived using the ansatz function method and symbolic computation, including transformations involving logarithmic and traveling waves. The wave solutions obtained significantly deepen our apprehension of the physical phenomena within this intricate model. Additionally, we computed conserved quantities such as momentum, power, and energy associated with the solitons. The modulational instability (MI) analysis is utilized to evaluate the stability of the uNLSE, which confirmed the exactness and stability of all soliton solutions. Through the selection of appropriate parameter values, we produced 3D and contour visualizations in forms such as lump waves, breather-sort waves, and multi-peak solitons.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103210"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103199
Hady Abdel Maksoud , Mohamed S. Zaky
This paper introduces a new sensorless approach-based model reference adaptive system (MRAS) for switched reluctance motor (SRM). A simplified nonlinear model is derived using phase-inductance-based finite element (FE) analysis. A hybrid sensorless model is integrated to calculate the rotor position over a wide range. MRAS is designed to calculate the speed and rotor position based on a derivative inductance model at all motor speeds unless at starting operation. A simple ramp function with low frequency is utilized to energize the motor phases at a standstill where the electrical quantities are unobservable. The proposed combined sensorless demands neither additional equipment nor sophisticated computation for real execution. To validate the precision and robustness of the suggested observer, simulation and experimental results are presented over a wide range from zero speed to the rated at 1500 rpm. Good accuracy with estimated errors of less than 1 % in most modes of operation is achieved.
{"title":"Stator flux based-MRAS position/speed observer of sensorless switched reluctance motor drives including startup operation","authors":"Hady Abdel Maksoud , Mohamed S. Zaky","doi":"10.1016/j.asej.2024.103199","DOIUrl":"10.1016/j.asej.2024.103199","url":null,"abstract":"<div><div>This paper introduces a new sensorless approach-based model reference adaptive system (MRAS) for switched reluctance motor (SRM). A simplified nonlinear model is derived using phase-inductance-based finite element (FE) analysis. A hybrid sensorless model is integrated to calculate the rotor position over a wide range. MRAS is designed to calculate the speed and rotor position based on a derivative inductance model at all motor speeds unless at starting operation. A simple ramp function with low frequency is utilized to energize the motor phases at a standstill where the electrical quantities are unobservable. The proposed combined sensorless demands neither additional equipment nor sophisticated computation for real execution. To validate the precision and robustness of the suggested observer, simulation and experimental results are presented over a wide range from zero speed to the rated at 1500 rpm. Good accuracy with estimated errors of less than 1 % in most modes of operation is achieved.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103199"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103242
Usman Younas , Ejaz Hussain , Jan Muhammad , Mubariz Garayev , Mohammed El-Meligy
In various fields of nonlinear sciences, fractional derivatives improve the accuracy and understanding of nonlinear dynamics. This study explores the fractional (2+1) dimensional nonlinear Schrödinger equation arising in the diversity of engineering fields. A variety of solitary wave solutions have been discussed with the assistance of advanced integration methods, namely the modified generalized Riccati equation mapping approach and F-expansion technique. The obtained solutions are displayed in graphs of relevant parameter values to elucidate the physical meaning and scientific interpretation of the analytical work. This paper's main contribution is an examination of the qualitative study like sensitivity analysis, chaotic behavior, and bifurcation analysis. The Galilean transformation is used for the qualitative analysis. Additionally, the behavior of time-varying dynamical systems is investigated through the perspective of chaos theory. To uncover the evasive character of chaos, we investigate 3D, 2D, phase portraits, time series, and Poincare mapping as potent instruments.
{"title":"Bifurcation analysis, chaotic behavior, sensitivity demonstration and dynamics of fractional solitary waves to nonlinear dynamical system","authors":"Usman Younas , Ejaz Hussain , Jan Muhammad , Mubariz Garayev , Mohammed El-Meligy","doi":"10.1016/j.asej.2024.103242","DOIUrl":"10.1016/j.asej.2024.103242","url":null,"abstract":"<div><div>In various fields of nonlinear sciences, fractional derivatives improve the accuracy and understanding of nonlinear dynamics. This study explores the fractional (2+1) dimensional nonlinear Schrödinger equation arising in the diversity of engineering fields. A variety of solitary wave solutions have been discussed with the assistance of advanced integration methods, namely the modified generalized Riccati equation mapping approach and F-expansion technique. The obtained solutions are displayed in graphs of relevant parameter values to elucidate the physical meaning and scientific interpretation of the analytical work. This paper's main contribution is an examination of the qualitative study like sensitivity analysis, chaotic behavior, and bifurcation analysis. The Galilean transformation is used for the qualitative analysis. Additionally, the behavior of time-varying dynamical systems is investigated through the perspective of chaos theory. To uncover the evasive character of chaos, we investigate 3D, 2D, phase portraits, time series, and Poincare mapping as potent instruments.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 1","pages":"Article 103242"},"PeriodicalIF":6.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.asej.2024.103226
Patri Upender , P. Sandeep , S.Prasanna Bharathi , Krishna Kumba , Amarjit Kumar
This paper presents a compact, metal-free THz absorber utilizing VO2 and graphene, offering ultra-wideband absorption (1.0702–13.3 THz) in the conducting state of VO2 and narrow absorption at 6.81 THz in the insulating state. The absorber is tunable by adjusting the chemical potential of graphene and remains polarization-insensitive with over 80% absorption at incidence angles up to 70°. It demonstrates switching between conducting and insulating states, validated through an equivalent electric circuit model. The absorber’s applications include EM interference shielding, stealth, and biosensing, with high sensitivity, figure of merit, and quality factor for detecting cancerous cells and viruses.
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