Ain Shams Engineering Journal最新文献_第10页

Transient response enhancement method for DC-DC converters based on adaptive duty cycle adjustment 基于自适应占空比调整的DC-DC变换器暂态响应增强方法

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-15 DOI: 10.1016/j.asej.2025.103687

Zhongjie Guo, Ziyi Qiu, Haoliang Wang, Ningmei Yu

{"title":"Transient response enhancement method for DC-DC converters based on adaptive duty cycle adjustment","authors":"Zhongjie Guo, Ziyi Qiu, Haoliang Wang, Ningmei Yu","doi":"10.1016/j.asej.2025.103687","DOIUrl":"10.1016/j.asej.2025.103687","url":null,"abstract":"<div><div>This article presents an adaptive duty cycle adjustment DC-DC converter for improving load transient response. The combination of adaptive clock control and DAC output variable reference voltage allows for rapid duty cycle saturation to further increase the inductor current conversion rate, thereby accelerating transient response. Furthermore, a fast transient detection method based on duty cycle sensing is proposed for many problems such as the inherent delay generated by traditional load transient detection, which is highly accurate, fast, and less affected by PVT. And the second overshoot generated by the nonlinear transient enhancement is corrected to compensate for the instability in the recovery process of transient response Based on the 0.18 μm high-voltage BCD process, the proposed method is verified by specific circuit design and physical implementation. The test results show that the transient enhancement method proposed in this article reduces the overshoot/undershoot voltage of load transient response to 20 mV/27 mV under the design environment of clock frequency 0.75 MHz ∼ 3 MHz and load current fast stepping from −20 mA to −620 mA. Compared to the conventional PWM peak-current mode operation, the overshoot/undershoot voltage is reduced by 64 %/63 % and the overshoot/undershoot recovery time is reduced by 89 %/62 %.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 11","pages":"Article 103687"},"PeriodicalIF":5.9,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144851843","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

Optimizing dam water level prediction through a one-shot neural architecture search 通过单次神经结构搜索优化大坝水位预测

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-14 DOI: 10.1016/j.asej.2025.103683

Kai Wen Ng , Yuk Feng Huang , Chai Hoon Koo , Ahmed El-Shafie , Ali Najah Ahmed

引用次数: 0

Utilizing crushed Choerospondias Axillaris seeds as a sustainable alternative to natural aggregate in concrete 利用压碎的棘球蛾种子作为混凝土中天然骨料的可持续替代品

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-14 DOI: 10.1016/j.asej.2025.103674

Suraj Sedai, Kiran Thapa, Jiwan Paudel, Tek Raj Gyawali

引用次数: 0

Quantitative study on the effects of test pit dimensions during immersion testing of thick loess strata 厚黄土地层浸没试验中试验坑尺寸影响的定量研究

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-14 DOI: 10.1016/j.asej.2025.103686

Bin Hou , Faning Dang , Yi Yao , Wuwei Zhu , Haibin Xue , Jiayang Li

引用次数: 0

Robust marine target state estimation via cooperative observation with air-mobile platforms: A new algorithmic approach 基于空中机动平台协同观测的鲁棒海上目标状态估计：一种新的算法方法

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-14 DOI: 10.1016/j.asej.2025.103685

Qiuyang Dai , Faxing Lu , Junfei Xu , Yuxiang Zhou , Haoran Shi , Guoliang Cao

{"title":"Robust marine target state estimation via cooperative observation with air-mobile platforms: A new algorithmic approach","authors":"Qiuyang Dai , Faxing Lu , Junfei Xu , Yuxiang Zhou , Haoran Shi , Guoliang Cao","doi":"10.1016/j.asej.2025.103685","DOIUrl":"10.1016/j.asej.2025.103685","url":null,"abstract":"<div><div>Existing algorithms for systematic error reduction often assume constant or slowly varying errors and rely on fixed, homogeneous platforms, limiting their ability to handle sudden changes in systematic and attitude errors in motorized platforms. To address this, we propose a robust algorithm based on first-order Taylor expansion within a cooperative air-mobile detection system. By utilizing multi-platform observations, we derive a joint systematic error expression, enabling accurate target state estimation without directly estimating the error. A pseudo-measurement equation is also constructed to further improve estimation accuracy. Simulations under various error conditions—including consistent, inconsistent, and mutation errors—show that our algorithm outperforms existing methods and demonstrates greater robustness. Practical experiments confirm its effectiveness, achieving a 2–3x improvement in estimation accuracy. This method enables precise marine target state estimation even amid significant systematic and attitude errors.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 11","pages":"Article 103685"},"PeriodicalIF":5.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842796","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

Numerical analysis of a novel mathematical model of measles-pneumonia co-infection with treated-vaccinated compartment 麻疹-肺炎合并感染的新型数学模型的数值分析

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-14 DOI: 10.1016/j.asej.2025.103659

Adil Jhangeer , Seerat Fatima , Nauman Raza , Muhammad Hamza Rafiq , Nehad Ali Shah , Mustafa Bayram

{"title":"Numerical analysis of a novel mathematical model of measles-pneumonia co-infection with treated-vaccinated compartment","authors":"Adil Jhangeer , Seerat Fatima , Nauman Raza , Muhammad Hamza Rafiq , Nehad Ali Shah , Mustafa Bayram","doi":"10.1016/j.asej.2025.103659","DOIUrl":"10.1016/j.asej.2025.103659","url":null,"abstract":"<div><div>Measles and pneumonia in Pakistan cause severe health deterioration and fatality due to weak immunity, medical accessibility challenges, and financial instability. This study proposes a new mathematical model integrating vaccine and treatment classes to investigate measles-pneumonia co-infection dynamics in Pakistan. The model's validity is assured by proving key characteristics such as positivity and invariant region. The basic reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> and equilibrium points are determined to evaluate whether the diseases endure or fade away. The Routh-Hurwitz criteria are used to evaluate the local stability, and global stability is established by using a Lyapunov function at the infection-free equilibrium. The model is visually shown to accurately fit actual cases after determining parameters using real data on measles cases in Pakistan. Numerical simulations are performed to investigate the effect of enhancing vaccination efficiency on infection rates and give insights into how both diseases behave when the reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> is less or more than one. A global sensitivity analysis is performed to identify the impact of crucial parameters on co-infection disease transmission and their impact on both disease reproduction numbers. Our results demonstrate the effectiveness of the implemented techniques in enhancing the accuracy of outbreak predictions.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 11","pages":"Article 103659"},"PeriodicalIF":5.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842795","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

Design and analysis of 15-level inverter with a new voltage level generation method 一种新型电压电平产生方法的15电平逆变器设计与分析

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-12 DOI: 10.1016/j.asej.2025.103679

Hasan Hataş

引用次数: 0

An integrated AHP-GP-GA approach for public project portfolio selection problem 公共项目投资组合选择问题的综合层次分析法- gp - ga方法

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-11 DOI: 10.1016/j.asej.2025.103644

A.O. Mogbojuri , O.A. Olanrewaju

{"title":"An integrated AHP-GP-GA approach for public project portfolio selection problem","authors":"A.O. Mogbojuri , O.A. Olanrewaju","doi":"10.1016/j.asej.2025.103644","DOIUrl":"10.1016/j.asej.2025.103644","url":null,"abstract":"<div><div>Strategically selecting projects and managing the project portfolio enables firms to enhance their comprehension of project risks and benefits. The capacity to choose a suitable combination of projects is a considerable benefit in the project selection process when confronted with budgetary and other limitations. The selection of projects via an effective methodology is rare, as numerous approaches are considered useless due to constraints on the number of projects available and the inability to identify cost-efficient initiatives. The study presents integrated models of the Analytic Hierarchy Process, Goal Programming, and Genetic Algorithm (AHP-GP-GA) by removing the bias of each model for Public PPSP and building a relationship between the developed models.</div><div>The AHP method was utilized to establish project selection criteria, allocate relative priority values to stakeholders, and calculate the overall weighting of project alternatives. The GP employed a computational approach to address numerous goals and limitations. The GA is a suitable mechanism for an efficient and versatile algorithm for optimisation that yields the best possible results. The empirical study demonstrates the fact the integrated approach effectively tackles wide ranging or multiplex issues involving various decision factors, yielding more optimal solutions and exhibiting resilience and adaptability in decision-making problems. The AHP-GP-GA model gives project selection criteria that are more significant in societal sustainability and the Public Project Portfolio Selection Problem (PPSP), has been used to more than 200 large projects, and has been contributed to the literature to improve the current approaches. It also removes the bias in selecting projects.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 10","pages":"Article 103644"},"PeriodicalIF":5.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810584","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

Medical image enhancement through Klein–Gordon model with advanced differential operators 基于Klein-Gordon模型和高级微分算子的医学图像增强

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-05 DOI: 10.1016/j.asej.2025.103617

A. Priya , S. Kalaivani

{"title":"Medical image enhancement through Klein–Gordon model with advanced differential operators","authors":"A. Priya , S. Kalaivani","doi":"10.1016/j.asej.2025.103617","DOIUrl":"10.1016/j.asej.2025.103617","url":null,"abstract":"<div><div>Image enhancement in medicine is crucial for diagnosing anatomical structures like tissues, organs, bones, and tumors. Insufficient lighting, incorrect settings, sensor constraints, excessive exposure, noise, patient motion, technical artifacts, and poor post–processing lead to low contrast and distorted noise interference. Consequently, the processes of diagnosis and decision-making is a challenges for medical professionals. The proposed work introduces a novel method using the Klein–Gordon equation to model image intensity as a scalar field, improving propagation, reducing noise, and maintaining edge sharpness. The Grunwald-Letnikov fractional derivative detects subtle edges while balancing smoothing and enhancement, preserving internal structure. Hausdorff fractal derivative significantly influence low-contrast images by improving local contrast and preserving details. The proposed method’s effectiveness is shown through assessments using no-reference image quality metrics BRISQUE and NIQE. The technique uses Chest X-ray, Dental X-ray, SARS-COV-CT Scan, and brain MRI results in BRISQUE and NIQE values, revealing significant visual enhancements over other methods.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 10","pages":"Article 103617"},"PeriodicalIF":5.9,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772970","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

Integration of modular multilevel converters and soft computing for efficient grid-connected PV systems 高效并网光伏系统的模块化多电平变流器与软计算集成

IF 5.9 2区工程技术

Ain Shams Engineering Journal Pub Date : 2025-08-05 DOI: 10.1016/j.asej.2025.103642

Manimala P , Sujatha Balaraman , C. John De Britto , M. Hariprabhu

{"title":"Integration of modular multilevel converters and soft computing for efficient grid-connected PV systems","authors":"Manimala P , Sujatha Balaraman , C. John De Britto , M. Hariprabhu","doi":"10.1016/j.asej.2025.103642","DOIUrl":"10.1016/j.asej.2025.103642","url":null,"abstract":"<div><div>An innovative approach that leverages Multilevel Inverter (MLI) advanced control methodologies to improve grid-connected Photovoltaic (PV) system performance is introduced in this work. This Modular Multilevel Converter (MMC) consists of both high-frequency converter and low-frequency inverter, facilitating efficient power conversion. To maximize PV power extraction, novel Chaotic Prairie Dog Optimization (PDO) based Fuzzy Maximum Power Point Tracking (MPPT) algorithm is implemented. The optimized Fuzzy MPPT output, combined with reactive power information, serves as inputs to dq theory-based Proportional-Integral (PI) controller. The obtained reference current undergoes pre-processing, Discrete Cosine Transform (DCT) based segmentation, Self-adapting genetic algorithm (GA)-Probabilistic Neural Networks (PNN) based classification. Furthermore, validation through Matlab simulations and hardware implementation underscores the proposed approach’s effectiveness in optimizing grid-connected PV system operation. With a total harmonic distortion (THD) of 1.25% in simulation and 1.6% in experiments, the system exhibits a high level of precision in generating sinusoidal current waveforms.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 10","pages":"Article 103642"},"PeriodicalIF":5.9,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772969","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