alexandria engineering journal最新文献_第4页

ODE, regression, and ANN models for energy forecasting: Egypt as a study case 能源预测的ODE、回归和人工神经网络模型：以埃及为研究案例

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-22 DOI: 10.1016/j.aej.2025.04.037

Mohey Eldeen H. H. Ali , Ahmed F. Tayel, Hossam M. Ezzat, Hesham A. Elkaranshawy

{"title":"ODE, regression, and ANN models for energy forecasting: Egypt as a study case","authors":"Mohey Eldeen H. H. Ali , Ahmed F. Tayel, Hossam M. Ezzat, Hesham A. Elkaranshawy","doi":"10.1016/j.aej.2025.04.037","DOIUrl":"10.1016/j.aej.2025.04.037","url":null,"abstract":"<div><div>Energy plays a crucial role in national development, influencing critical sectors such as industry, agriculture, healthcare, and education. Accurate energy consumption prediction is essential for efficient energy management, helping prevent imbalances between supply and demand and potential energy shortages. This study aims to forecast the total primary energy supply (TPES), using Egypt as a case study for the first time in literature and utilizing several models (ordinary differential equations (ODEs), regression, and ANN models). Although ordinary differential equations (ODEs) offer flexibility and convenience, their application in energy forecasting remains limited. One of the main objectives of this research is to evaluate the effectiveness of ODEs in predicting energy consumption. Various ODE and regression models are employed to identify the most suitable model amongst each category for forecasting energy demand. Additionally, an artificial neural network (ANN) is developed, trained, validated, and tested for the same forecasting task. The study compares the performance of the selected ODE model (Mendelsohn), with the selected regression model (Polynomial), and an ANN model predicting Egypt’s TPES until 2035. By assessing multiple forecasting methods, this work improves the accuracy and reliability of energy consumption predictions, which is crucial for sustainable energy planning and policy development.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 496-506"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Signature and anomaly based intrusion detection system for secure IoTs and V2G communication 基于签名和异常的入侵检测系统，确保物联网和 V2G 通信安全

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-22 DOI: 10.1016/j.aej.2025.03.068

Othman Alnasser , Jalal Al Muhtadi , Kashif Saleem , Sanjeeb Shrestha

{"title":"Signature and anomaly based intrusion detection system for secure IoTs and V2G communication","authors":"Othman Alnasser , Jalal Al Muhtadi , Kashif Saleem , Sanjeeb Shrestha","doi":"10.1016/j.aej.2025.03.068","DOIUrl":"10.1016/j.aej.2025.03.068","url":null,"abstract":"<div><div>Cybersecurity is considered a top priority across all organizations, from corporations to governmental agencies. Every year, we hear about major cyber security breaches in many organizations, especially targeting smart grids with the Internet of Things (IoT) and electric vehicles (EVs) and hindering their operation. Cybersecurity attacks are multifaceted and may initiate with identifying a vulnerability, exploiting that vulnerability to gain shell access, elevating privileges, performing lateral movement, executing commands, exfiltrating data, covering tracks, and keeping persistent access. Based on a comprehensive literature review and analysis, a joint detection system using signature-based and anomaly-based intrusion detection systems (SBaIDS) that utilizes different machine learning algorithms based on a hybrid model is proposed. The novel system effectively detects cybersecurity attacks and performs non-traditional detection mechanisms for IoT and vehicle-to-grid (V2G) communication. The implementation uses the enhanced dataset and presents the result in terms of accuracy, precision, recall, and F1 Score given each attack scenario. The proposed model’s performance shows good results compared to the previous work that uses a Support Vector Machine (SVM) running SPARK. The detection ratio is found to be more than 96%, compared to recent work on a hybrid intrusion detection system.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 424-440"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On a new version of bicomplex Mittag-Leffler functions and their applications in fractional kinetic equations 新版本的双复Mittag-Leffler函数及其在分数阶动力学方程中的应用

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-22 DOI: 10.1016/j.aej.2025.03.107

Ahmed Bakhet , Mohra Zayed , Mohammed A. Saleem , Mohamed Fathi

{"title":"On a new version of bicomplex Mittag-Leffler functions and their applications in fractional kinetic equations","authors":"Ahmed Bakhet , Mohra Zayed , Mohammed A. Saleem , Mohamed Fathi","doi":"10.1016/j.aej.2025.03.107","DOIUrl":"10.1016/j.aej.2025.03.107","url":null,"abstract":"<div><div>The Mittag-Leffler function, often referred to as the ”queen function” of fractional calculus, plays a fundamental role in solving fractional differential equations across various disciplines, including physics and engineering. In this paper, we introduce a novel extension of the classical Mittag-Leffler function to the bicomplex domain, defining the bicomplex <span><math><mi>k</mi></math></span>-Mittag-Leffler function. We establish its fundamental properties, derive key representations and explore its analytical structure within bicomplex analysis. Furthermore, we investigate its interaction with the bicomplex <span><math><mi>k</mi></math></span>-Riemann–Liouville fractional integration and differentiation operators, demonstrating its effectiveness in solving bicomplex fractional differential equations. In particular, we provide explicit solutions to bicomplex fractional kinetic equations (FKE), showcasing the applicability of our proposed function. This generalization not only deepens the understanding of fractional calculus in bicomplex spaces but also lays the groundwork for future advancements in both theoretical research and applied mathematics. Our findings contribute to the growing body of work on special functions in bicomplex analysis and open new perspectives for applications in complex systems and mathematical physics.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 409-423"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emotion-driven music recommendation system based on fully convolutional recurrent attention networks and collaborative filtering 基于全卷积循环注意网络和协同过滤的情感驱动音乐推荐系统

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-18 DOI: 10.1016/j.aej.2025.03.114

Liang Zhao , Guangzhan Liu , Shuailing Yan , Jing Zhang

{"title":"Emotion-driven music recommendation system based on fully convolutional recurrent attention networks and collaborative filtering","authors":"Liang Zhao , Guangzhan Liu , Shuailing Yan , Jing Zhang","doi":"10.1016/j.aej.2025.03.114","DOIUrl":"10.1016/j.aej.2025.03.114","url":null,"abstract":"<div><div>With the rapid growth of online music platforms, personalized music recommendation has become a critical task. However, existing methods often struggle to capture the intricate emotional and contextual characteristics of music, resulting in suboptimal user experiences. To address these limitations, we propose a hybrid recommendation system that integrates collaborative filtering, music attribute modeling, and a FCRA. The FCRA extracts key emotional features, including tempo, pitch variation, spectral contrast, harmonic progression, and rhythm patterns, which correspond to affective states such as happiness, sadness, calmness, and intensity. The hybrid design leverages both user interaction history and music content to enhance recommendation accuracy. Experimental results on the MSD and Last.Fm 360k datasets show that our model achieves a Precision@10 of 0.902 and 0.885, Recall@10 of 0.832 and 0.815, and NDCG@10 of 0.855 and 0.84, respectively, outperforming all baseline methods. Furthermore, the system performs robustly in cold-start scenarios, highlighting its adaptability across different recommendation contexts. This research provides a novel approach to addressing the challenges of emotion-driven music recommendation, contributing to improved user satisfaction and better alignment with individual preferences and moods.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 354-366"},"PeriodicalIF":6.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple image encryption techniques: Strategies, challenges, and potential future directions 多种图像加密技术：策略、挑战和潜在的未来方向

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-18 DOI: 10.1016/j.aej.2025.04.006

Mohamed Meselhy Eltoukhy , Faisal S. Alsubaei , Yasmin M. Elnabawy , Khalid M. Hosny

{"title":"Multiple image encryption techniques: Strategies, challenges, and potential future directions","authors":"Mohamed Meselhy Eltoukhy , Faisal S. Alsubaei , Yasmin M. Elnabawy , Khalid M. Hosny","doi":"10.1016/j.aej.2025.04.006","DOIUrl":"10.1016/j.aej.2025.04.006","url":null,"abstract":"<div><div>Efficient image encryption techniques are crucial for protecting digital content in multimedia applications. With the increasing generation and usage of images daily, multiple image encryption (MIE) has emerged as a vital research area. This paper provides a comprehensive survey of MIE approaches, categorizing them based on strategies such as chaos-based systems, transform domains, permutation-substitution, hybrid methods, quantum techniques, and AI-based approaches. We examine the performance metrics used to evaluate these strategies, focusing on their computational efficiency and suitability for diverse applications. The survey introduces the concept of image fusion to create 2D augmented and 3D stacked images for MIE and proposes a novel classification based on these representations. It discusses the challenges of each approach and presents the state of MIE research, highlighting potential future directions. This work serves as a valuable guide for researchers aiming to develop secure, efficient, and adaptable multiple-image encryption solutions.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 367-387"},"PeriodicalIF":6.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-profile radome-optimized high-gain series-fed array antenna for W-band radar applications 用于w波段雷达应用的低轮廓雷达罩优化高增益串联馈电阵列天线

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-18 DOI: 10.1016/j.aej.2025.04.044

Jong-Sik Min , Seong-Mo Moon , Han Lim Lee

{"title":"Low-profile radome-optimized high-gain series-fed array antenna for W-band radar applications","authors":"Jong-Sik Min , Seong-Mo Moon , Han Lim Lee","doi":"10.1016/j.aej.2025.04.044","DOIUrl":"10.1016/j.aej.2025.04.044","url":null,"abstract":"<div><div>In this article, a new series-fed array antenna optimized with a low-profile radome is proposed for W-band compact radar applications. The proposed high-gain antenna array features a planar structure incorporating parasitic patches and shorting pins through a series-fed network. Due to the high-gain characteristic of the proposed antenna, the height of the radome, typically used as an antenna cover while further enhancing the directivity of radar applications, can be significantly reduced. To demonstrate the efficacy of the proposed antenna array in enhancing directivity and thereby reducing the radome profile, 4 × 4 arrays with conventional and proposed series-fed structures were both designed and compared. Both series-fed array antennas were fabricated on the same-sized ground plane of 12.9 λ<sub>0</sub> × 10.5 λ<sub>0</sub> at 80 GHz, including extra space for radome assembly. The simulated gains for the conventional and proposed series-fed array antennas were 15.7 dBi and 18.3 dBi at 80 GHz, respectively. Radomes for both array antennas, designed to achieve a narrow beamwidth of less than 15°, were fabricated using a 3D printer. The simulated and measured normalized radiation patterns showed excellent agreement, with measured half-power beamwidths of less than 14°. With similar antenna radiation characteristics, the proposed series-fed array antenna demonstrated a 35.9 % reduction in the required radome height compared to the conventional series-fed configuration.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 388-398"},"PeriodicalIF":6.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementation optimal control model of smart grid engineering cluster construction based on Markov decision process 基于马尔可夫决策过程的智能电网工程集群建设最优控制模型实现

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-18 DOI: 10.1016/j.aej.2025.04.046

Yanxia Gu , Heng Wang , Mingcai Zhang

{"title":"Implementation optimal control model of smart grid engineering cluster construction based on Markov decision process","authors":"Yanxia Gu , Heng Wang , Mingcai Zhang","doi":"10.1016/j.aej.2025.04.046","DOIUrl":"10.1016/j.aej.2025.04.046","url":null,"abstract":"<div><div>With the rapid development of smart grid technology, how to construct and operate large-scale smart grid engineering clusters efficiently and safely has become an important topic of current research. As a powerful mathematical tool, Markov decision process provides an effective method to solve the optimal decision problem of complex systems. Firstly, the paper analyzes the complexity of smart grid engineering cluster construction, including multi-stage, multi-objective, multi-constraints and so on. On this basis, the Markov decision process model of smart grid engineering cluster construction is constructed. The model regards each stage of construction of smart grid engineering cluster as different states, regards alternative execution strategies as actions, and regards construction costs and benefits as rewards, thus forming a complete decision-making process. The optimal strategy of Markov decision process model is solved by dynamic programming algorithm. The results show that the implementation optimal control model based on Markov decision process can significantly reduce the construction cost, improve the construction efficiency, and ensure the security and stability of smart grid.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 399-408"},"PeriodicalIF":6.2,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

β-Ulam stability results for Atangana–Baleanu–Caputo fractional equations with non-instantaneous impulsive boundary conditions 具有非瞬时脉冲边界条件的Atangana-Baleanu-Caputo分数阶方程的β-Ulam稳定性结果

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-17 DOI: 10.1016/j.aej.2025.04.005

El-sayed El-hady , K. Venkatachalam , G.S. Murugapandian , Tania A. Lazar , Vasile Lazar , Liliana Guran

引用次数: 0

Simultaneous and individual parameter estimation procedures for a two-twisting axis system 双扭轴系统的同时和单独参数估计程序

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-17 DOI: 10.1016/j.aej.2025.03.127

Kareem Alanazi , Nour Zidan , Mona Aldhuwahi , Abeer Alhashash , Salman Alsaeed , Hamada Abdel-Hameed

引用次数: 0

Artificial Intelligence-based Natural Language Processing for sarcasm detection and classification on Arabic Corpus 基于人工智能的自然语言处理在阿拉伯语语料库中的反讽检测与分类

IF 6.2 2区工程技术

alexandria engineering journal Pub Date : 2025-04-17 DOI: 10.1016/j.aej.2025.03.125

Wala bin Subait , Mashael M. Asiri , Muhammad Swaileh A. Alzaidi , Meshari H. Alanazi , Menwa Alshammeri , Ayman Yafoz , Raed Alsini , Alaa O. Khadidos

{"title":"Artificial Intelligence-based Natural Language Processing for sarcasm detection and classification on Arabic Corpus","authors":"Wala bin Subait , Mashael M. Asiri , Muhammad Swaileh A. Alzaidi , Meshari H. Alanazi , Menwa Alshammeri , Ayman Yafoz , Raed Alsini , Alaa O. Khadidos","doi":"10.1016/j.aej.2025.03.125","DOIUrl":"10.1016/j.aej.2025.03.125","url":null,"abstract":"<div><div>Sarcasm is a type of communication designed to harass or mock an individual using words against their accurate meaning. It signifies a negative sentiment but a positive sentiment. Sarcasm detection is challenging due to the gap between its intended and literal meaning and how sarcasm is expressed, specifically in Arabic, which has a complex and rich linguistic structure. Effective sarcasm detection is significant for Sentiment Analysis (SA) and can significantly improve the performance of various Natural Language Processing (NLP) applications. This study presents an Artificial Intelligence-based Natural Language Processing Driven Applied Linguistic using Bidirectional Temporal Convolutional Networks (AINLP-ALBTCN) technique on Sarcasm Detection in Arabic Corpus. The AINLP-ALBTCN technique concentrates on classifying and detecting sarcasm in Arabic Corpus. Initially, the AINLP-ALBTCN approach applies a series of data pre-processing steps to convert the input data into synchronized formats. Then, the word2vec embedding model is used to generate feature vectors. Furthermore, the BTCN technique is employed as a classification method to detect and classify sarcasm. Finally, the Sand Cat Swarm Optimization (SCSO) approach is chosen for hyperparameter optimization of the BTCN method, enhancing the performance of sarcasm detection. A wide range of experiments are conducted to demonstrate the promising outcomes of the AINLP-ALBTCN technique under the ArSarcasm dataset. The experimental validation of the AINLP-ALBTCN technique portrayed a superior accuracy value of 95.59 % over existing models in the sarcasm classification process.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"125 ","pages":"Pages 320-331"},"PeriodicalIF":6.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0