首页 > 最新文献

Ain Shams Engineering Journal最新文献

英文 中文
A real–time distributed optimization control for power sharing and voltage restoration in inverter–based microgrids
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103288
Asad Khan , Muhammad Mansoor Khan , Jiang Chuanwen , Danish Khan
This paper presents a distributed control framework for grid–forming (GFM) distributed generations (DGs), considering the objectives of active/reactive power sharing and load feeder voltage regulation in inverter–based microgrids (MGs). Battery energy storage systems (BESSs) are controlled GFM sources while solar–powered DGs are working in grid–following (GFL) mode to provide active power support. The proposed method simplifies the global optimization problem into multiple sub–optimal problems by virtually segregating each GFM source into two decoupled sources. Each sub–problem, containing at most two GFM sources and multiple GFL sources with a single distributed agent, is solvable independently using local and neighboring node information. This feature substantially minimizes computational and communication resources, allowing for solutions using low–cost digital signal processors (DSPs). Moreover, the highly distributed nature of the proposed search algorithm ensures fast solution convergence and real–time implementation in multi–agent systems (MAS). Compared to existing segregation methods like Alternating Direction Method of Multipliers (ADMM) and Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) schemes, which segregate the network into complex sub–networks involving several GFM sources, the proposed approach is more suitable for small–scale inverter–based MGs. The framework’s effectiveness is validated through analytical formulation, MATLAB simulations, and realistic experimental results within a multi–feeder test MG system, which includes numerous load feeders and sparsely available GFM DGs, a scenario that has received limited attention in existing literature.
{"title":"A real–time distributed optimization control for power sharing and voltage restoration in inverter–based microgrids","authors":"Asad Khan ,&nbsp;Muhammad Mansoor Khan ,&nbsp;Jiang Chuanwen ,&nbsp;Danish Khan","doi":"10.1016/j.asej.2025.103288","DOIUrl":"10.1016/j.asej.2025.103288","url":null,"abstract":"<div><div>This paper presents a distributed control framework for grid–forming (GFM) distributed generations (DGs), considering the objectives of active/reactive power sharing and load feeder voltage regulation in inverter–based microgrids (MGs). Battery energy storage systems (BESSs) are controlled GFM sources while solar–powered DGs are working in grid–following (GFL) mode to provide active power support. The proposed method simplifies the global optimization problem into multiple sub–optimal problems by virtually segregating each GFM source into two decoupled sources. Each sub–problem, containing at most two GFM sources and multiple GFL sources with a single distributed agent, is solvable independently using local and neighboring node information. This feature substantially minimizes computational and communication resources, allowing for solutions using low–cost digital signal processors (DSPs). Moreover, the highly distributed nature of the proposed search algorithm ensures fast solution convergence and real–time implementation in multi–agent systems (MAS). Compared to existing segregation methods like Alternating Direction Method of Multipliers (ADMM) and Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) schemes, which segregate the network into complex sub–networks involving several GFM sources, the proposed approach is more suitable for small–scale inverter–based MGs. The framework’s effectiveness is validated through analytical formulation, MATLAB simulations, and realistic experimental results within a multi–feeder test MG system, which includes numerous load feeders and sparsely available GFM DGs, a scenario that has received limited attention in existing literature.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103288"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177015","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}
引用次数: 0
Assessing canyon geometry effect on the thermal comfort in a hot semi-arid climate: Baghdad city as case study
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103247
Maryam F. Abdulateef , Firas A Majeed , Hoda A.S. Al-Alwan , Mohammed B. Qasim
To establish a new urban area, a wide and a multi-discipline knowledge concerning the direct relationship between urban geometry parameters and the resulted outdoor thermal environment, should be provided. This can prevent designers and users, especially in extreme climates, from serious consequences such as external environmental discomfort and increased energy consumption outside and inside the buildings. The review of related studies reveals that there is limited data concerning the reciprocal relationship between canyon geometry parameters and the thermal comfort in a hot semi-arid climate. Accordingly, the paper seeks to provide the required knowledge concerning this aspect by testing and comparing the effect of canyon geometry parameters on some outdoor thermal indexes, using ENVI-met microclimate simulation software. The selected indexes of the outdoor thermal comfort include physiological equivalent temperature (PET), and façade temperature (Tf). The effect of modifying canyon aspect ratio (high and low), and orientation (north–south, east–west, northeast-southwest, and northwest-southeast) on these indexes have been tracked. The paper investigates the aspect ratio effect on PET, the orientation effect on PET, and the aspect ratio effect on Tf. The research concluded that the deep canyon (Dc) witnessed lower PET values than the wide canyon (Wc) during the daytime. East-west oriented canyons are excluded from this result as no significant effect on PET was recorded. The most noticeable difference (about 12.8 °C) was recorded at 8:00 between NE-SW deep and wide canyons. During the night hours, the opposite case happens as PET in (Wc) becomes lower than (Dc) in all orientations. Measuring the second parameter reveals the minimal effect of canyon orientation on PET in wide canyons (Wc). Deep canyons witness more obvious thermal differences. The lowest and highest PET values were recorded in NE-SW and EW-oriented deep canyons (differences about 15 °C at 8:00). Concerning the effect of aspect ratio on facade temperature (Tf), the results reveal that increasing the aspect ratio (Dc) can significantly decline this parameter. The most significant role of this at PET was recorded at the southeast façade of deep canons (Dc) which was about 30 °C lower than those of Wc in the late morning. Adopting such results in the urban planning and design process would lead to have more sustainable canyons which successfully interact with their local environment and professionally avoid its disadvantages.
{"title":"Assessing canyon geometry effect on the thermal comfort in a hot semi-arid climate: Baghdad city as case study","authors":"Maryam F. Abdulateef ,&nbsp;Firas A Majeed ,&nbsp;Hoda A.S. Al-Alwan ,&nbsp;Mohammed B. Qasim","doi":"10.1016/j.asej.2024.103247","DOIUrl":"10.1016/j.asej.2024.103247","url":null,"abstract":"<div><div>To establish a new urban area, a wide and a multi-discipline knowledge concerning the direct relationship between urban geometry parameters and the resulted outdoor thermal environment, should be provided. This can prevent designers and users, especially in extreme climates, from serious consequences such as external environmental discomfort and increased energy consumption outside and inside the buildings. The review of related studies reveals that there is limited data concerning the reciprocal relationship between canyon geometry parameters and the thermal comfort in a hot semi-arid climate. Accordingly, the paper seeks to provide the required knowledge concerning this aspect by testing and comparing the effect of canyon geometry parameters on some outdoor thermal indexes, using ENVI-met microclimate simulation software. The selected indexes of the outdoor thermal comfort include physiological equivalent temperature (PET), and façade temperature (Tf). The effect of modifying canyon aspect ratio (high and low), and orientation (north–south, east–west, northeast-southwest, and northwest-southeast) on these indexes have been tracked. The paper investigates the aspect ratio effect on PET, the orientation effect on PET, and the aspect ratio effect on Tf. The research concluded that the deep canyon (Dc) witnessed lower PET values than the wide canyon (Wc) during the daytime. East-west oriented canyons are excluded from this result as no significant effect on PET was recorded. The most noticeable difference (about 12.8 °C) was recorded at 8:00 between NE-SW deep and wide canyons. During the night hours, the opposite case happens as PET in (Wc) becomes lower than (Dc) in all orientations. Measuring the second parameter reveals the minimal effect of canyon orientation on PET in wide canyons (Wc). Deep canyons witness more obvious thermal differences. The lowest and highest PET values were recorded in NE-SW and EW-oriented deep canyons (differences about 15 °C at 8:00). Concerning the effect of aspect ratio on facade temperature (Tf), the results reveal that increasing the aspect ratio (Dc) can significantly decline this parameter. The most significant role of this at PET was recorded at the southeast façade of deep canons (Dc) which was about 30 °C lower than those of Wc in the late morning. Adopting such results in the urban planning and design process would lead to have more sustainable canyons which successfully interact with their local environment and professionally avoid its disadvantages.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103247"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177017","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}
引用次数: 0
Optimizing cash flow in construction portfolios: A metaheuristic approach from the organization’s perspective
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103259
Reza Rajabi , Siamak Haji Yakhchali
The construction industry faces significant financial risks due to inflationary pressures and economic boom-and-bust cycles, which can result in negative cash flow and reduced profitability for project portfolios. Although various cash flow optimization models exist, many do not adequately address the combined effects of inflation, economic boom-and-bust cycles, and capital injection strategies. This gap limits their effectiveness in real-world conditions, particularly for organizations managing large construction portfolios.
This study aims to bridge this gap by developing a comprehensive model for optimizing cash flow in construction project portfolios from the organization’s perspective. The model integrates key factors such as construction cost inflation, house price inflation, and multi-stage capital injections, ensuring that cumulative negative cash flow does not exceed the available capital. Metaheuristic algorithms—including Differential Evolution (DE), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA), Water Cycle Algorithm (WCA), and Teaching-Learning-Based Optimization (TLBO)—are employed to solve this NP-complete problem and maximize profitability by determining the optimal start and sale times for projects.
The model was tested on real-world construction portfolios, demonstrating a substantial improvement in cash flow management compared to traditional methods. The DE algorithm improved the objective function by up to 17.2% for larger portfolios. Sensitivity analyses revealed that portfolio performance is strongly influenced by the magnitude of capital injections and the timing of portfolio initiation within economic cycles.
Overall, this study provides a robust decision-support tool for managing financial risks, offering practical insights into optimizing cash flow and maximizing profitability in the face of inflation and market volatility.
{"title":"Optimizing cash flow in construction portfolios: A metaheuristic approach from the organization’s perspective","authors":"Reza Rajabi ,&nbsp;Siamak Haji Yakhchali","doi":"10.1016/j.asej.2024.103259","DOIUrl":"10.1016/j.asej.2024.103259","url":null,"abstract":"<div><div>The construction industry faces significant financial risks due to inflationary pressures and economic boom-and-bust cycles, which can result in negative cash flow and reduced profitability for project portfolios. Although various cash flow optimization models exist, many do not adequately address the combined effects of inflation, economic boom-and-bust cycles, and capital injection strategies. This gap limits their effectiveness in real-world conditions, particularly for organizations managing large construction portfolios.</div><div>This study aims to bridge this gap by developing a comprehensive model for optimizing cash flow in construction project portfolios from the organization’s perspective. The model integrates key factors such as construction cost inflation, house price inflation, and multi-stage capital injections, ensuring that cumulative negative cash flow does not exceed the available capital. Metaheuristic algorithms—including Differential Evolution (DE), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA), Water Cycle Algorithm (WCA), and Teaching-Learning-Based Optimization (TLBO)—are employed to solve this NP-complete problem and maximize profitability by determining the optimal start and sale times for projects.</div><div>The model was tested on real-world construction portfolios, demonstrating a substantial improvement in cash flow management compared to traditional methods. The DE algorithm improved the objective function by up to 17.2% for larger portfolios. Sensitivity analyses revealed that portfolio performance is strongly influenced by the magnitude of capital injections and the timing of portfolio initiation within economic cycles.</div><div>Overall, this study provides a robust decision-support tool for managing financial risks, offering practical insights into optimizing cash flow and maximizing profitability in the face of inflation and market volatility.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103259"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177020","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}
引用次数: 0
Machine learning algorithm for mapping computational data of water reservoir with air bubble flow column reactor
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103275
Lin Qi, Pingping Lu
Analysis of CO2 absorption by water-based bubble column reactors is of great importance and computational methods help understand the process and improve its efficiency. Numerical evaluation of CO2 absorption using water in a bubble column was investigated by analysis of mass transfer in the process. The results showed that the CO2 absorption in water was increased from 0 to around 0.53 L after 450 s and the rate of CO2 absorption in water was decreased from 0.28 L/min to around 0 after 450 s. Then, the obtained results from the model were used for understanding these parameters in controlled environments using machine learning methodologies. We explored the predictive accuracy of regression models to estimate the concentration of CO2 (mol/m3) across spatial (z) and temporal (t) dimensions in a controlled environment. The dataset comprises measurements collected over 451 s at varying depths, structured as a regression task to model CO2 based on t(s) and z(m). Data preprocessing involved Z-score normalization and Isolation Forest-based outlier detection, optimizing data integrity. The methodology incorporated the Whale Optimization Algorithm (WOA) to refine model hyperparameters, enhancing performance metrics across Decision Tree (DT), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP) models. Evaluation metrics such as R2, RMSE, and MAE indicated KNN’s superior predictive capability, demonstrating strong generalization across training, cross-validation, and testing phases. The KNN model accurately captured the non-linear spatial–temporal relationships inherent in the dataset, achieving a near-perfect R2 of 0.9991 on the training set and 0.9979 on the test set, with low RMSE (0.291) and MAE (0.042) values on the test data. These results underscore the model’s high precision in predicting concentration levels across varying depths and time, supporting its potential for applications requiring precise concentration estimations in similar contexts.
{"title":"Machine learning algorithm for mapping computational data of water reservoir with air bubble flow column reactor","authors":"Lin Qi,&nbsp;Pingping Lu","doi":"10.1016/j.asej.2025.103275","DOIUrl":"10.1016/j.asej.2025.103275","url":null,"abstract":"<div><div>Analysis of CO<sub>2</sub> absorption by water-based bubble column reactors is of great importance and computational methods help understand the process and improve its efficiency. Numerical evaluation of CO<sub>2</sub> absorption using water in a bubble column was investigated by analysis of mass transfer in the process. The results showed that the CO<sub>2</sub> absorption in water was increased from 0 to around 0.53 L after 450 s and the rate of CO<sub>2</sub> absorption in water was decreased from 0.28 L/min to around 0 after 450 s. Then, the obtained results from the model were used for understanding these parameters in controlled environments using machine learning methodologies. We explored the predictive accuracy of regression models to estimate the concentration of CO<sub>2</sub> (mol/m<sup>3</sup>) across spatial (z) and temporal (t) dimensions in a controlled environment. The dataset comprises measurements collected over 451 s at varying depths, structured as a regression task to model CO<sub>2</sub> based on t(s) and z(m). Data preprocessing involved Z-score normalization and Isolation Forest-based outlier detection, optimizing data integrity. The methodology incorporated the Whale Optimization Algorithm (WOA) to refine model hyperparameters, enhancing performance metrics across Decision Tree (DT), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP) models. Evaluation metrics such as R2, RMSE, and MAE indicated KNN’s superior predictive capability, demonstrating strong generalization across training, cross-validation, and testing phases. The KNN model accurately captured the non-linear spatial–temporal relationships inherent in the dataset, achieving a near-perfect R2 of 0.9991 on the training set and 0.9979 on the test set, with low RMSE (0.291) and MAE (0.042) values on the test data. These results underscore the model’s high precision in predicting concentration levels across varying depths and time, supporting its potential for applications requiring precise concentration estimations in similar contexts.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103275"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177387","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}
引用次数: 0
The effect of blockchain on construction supply chain resilience: A mediated moderation model
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103253
Lin Wang , Yu Zeng , Yongshun Xu , Ming Chi , Haitao Wu
In the era of globalization, enhancing construction supply chain resilience (CSCR) has become essential. Traditional supply chains face issues like information asymmetry, trust deficits, and inefficiencies, weakening their resilience. Blockchain offers a solution by improving transparency, trust, and coordination, but its impact on CSCR remains unclear. This study addresses the gap by developing a moderated mediation model to explore how blockchain influences CSCR through supply chain integration and the moderating role of environmental uncertainty. Data from 310 senior managers in Chinese construction firms were analyzed using structural equation modeling. The results showed that blockchain significantly improves CSCR, mediated by operational, informational, and relational integration, particularly under high uncertainty environments. The findings highlight blockchain’s potential to strengthen CSCR and provide theoretical insights into its mechanisms, offering practical guidance for construction companies to enhance supply chain processes through blockchain implementation.
{"title":"The effect of blockchain on construction supply chain resilience: A mediated moderation model","authors":"Lin Wang ,&nbsp;Yu Zeng ,&nbsp;Yongshun Xu ,&nbsp;Ming Chi ,&nbsp;Haitao Wu","doi":"10.1016/j.asej.2024.103253","DOIUrl":"10.1016/j.asej.2024.103253","url":null,"abstract":"<div><div>In the era of globalization, enhancing construction supply chain resilience (CSCR) has become essential. Traditional supply chains face issues like information asymmetry, trust deficits, and inefficiencies, weakening their resilience. Blockchain offers a solution by improving transparency, trust, and coordination, but its impact on CSCR remains unclear. This study addresses the gap by developing a moderated mediation model to explore how blockchain influences CSCR through supply chain integration and the moderating role of environmental uncertainty. Data from 310 senior managers in Chinese construction firms were analyzed using structural equation modeling. The results showed that blockchain significantly improves CSCR, mediated by operational, informational, and relational integration, particularly under high uncertainty environments. The findings highlight blockchain’s potential to strengthen CSCR and provide theoretical insights into its mechanisms, offering practical guidance for construction companies to enhance supply chain processes through blockchain implementation.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103253"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177840","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}
引用次数: 0
Development of new modified delay and queue length methods for urban signalized intersections: A case of Antalya city
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103246
Metin Mutlu Aydin , İbrahim Aydoğdu
In many undeveloped and developing countries, unplanned and dysfunctional signalized intersections are prevalent due to a lack of expertise. These intersections suffer from operational and safety issues as they often fail to meet standardized criteria. Consequently, drivers tend to behave aggressively, leading to chaos and the creation of illegal lanes at intersection legs. This study examines seven problematic intersections, using American (HCM) and Australian (Akcelik) methods to assess existing delays and queue lengths. However, the error rates (MAPE) for these methods are notably high, indicating their inadequacy in assessing intersections with geometric irregularities. To address this, the study proposes modified evaluation methods using Artificial Bee Colony and Biogeography-Based Optimization, with the Modified HCM (US) method providing the most accurate results with significantly lower error rates for both delay (9.4 %) and queue length (15.1 %). This suggests that queued approaches are essential for accurately assessing intersections in countries facing geometric challenges.
{"title":"Development of new modified delay and queue length methods for urban signalized intersections: A case of Antalya city","authors":"Metin Mutlu Aydin ,&nbsp;İbrahim Aydoğdu","doi":"10.1016/j.asej.2024.103246","DOIUrl":"10.1016/j.asej.2024.103246","url":null,"abstract":"<div><div>In many undeveloped and developing countries, unplanned and dysfunctional signalized intersections are prevalent due to a lack of expertise. These intersections suffer from operational and safety issues as they often fail to meet standardized criteria. Consequently, drivers tend to behave aggressively, leading to chaos and the creation of illegal lanes at intersection legs. This study examines seven problematic intersections, using American (HCM) and Australian (Akcelik) methods to assess existing delays and queue lengths. However, the error rates (MAPE) for these methods are notably high, indicating their inadequacy in assessing intersections with geometric irregularities. To address this, the study proposes modified evaluation methods using Artificial Bee Colony and Biogeography-Based Optimization, with the Modified HCM (US) method providing the most accurate results with significantly lower error rates for both delay (9.4 %) and queue length (15.1 %). This suggests that queued approaches are essential for accurately assessing intersections in countries facing geometric challenges.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103246"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177838","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}
引用次数: 0
Gravity center trend analysis (GCTA) as a new method for determining the trends of hydro-meteorological data
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103278
Mahsum Aydin
This paper introduces Gravity Centre Trend Analysis (GCTA), a new method developed to analyse the trends of time series without any data constraints. The method provides both graphical identification of trends and easy calculation of trend magnitude. In the study, the applicability of GCTA is tested using monthly precipitation data and global land–ocean temperature index between 1869–2018 in New York Central Park. The findings revealed that there is a general increasing trend in annual precipitation data, but this trend shows periodic changes in monthly data. Significant increasing trends were found in April, May and November, while decreasing trends were found in February, July and October. An increasing trend was detected in the Global Land-Ocean index data. It was evaluated that the negative impact of this increase in global warming on precipitation regimes will increase in the coming years and the frequency of flood and drought events in the region may increase.
{"title":"Gravity center trend analysis (GCTA) as a new method for determining the trends of hydro-meteorological data","authors":"Mahsum Aydin","doi":"10.1016/j.asej.2025.103278","DOIUrl":"10.1016/j.asej.2025.103278","url":null,"abstract":"<div><div>This paper introduces Gravity Centre Trend Analysis (GCTA), a new method developed to analyse the trends of time series without any data constraints. The method provides both graphical identification of trends and easy calculation of trend magnitude. In the study, the applicability of GCTA is tested using monthly precipitation data and global land–ocean temperature index between 1869–2018 in New York Central Park. The findings revealed that there is a general increasing trend in annual precipitation data, but this trend shows periodic changes in monthly data. Significant increasing trends were found in April, May and November, while decreasing trends were found in February, July and October. An increasing trend was detected in the Global Land-Ocean index data. It was evaluated that the negative impact of this increase in global warming on precipitation regimes will increase in the coming years and the frequency of flood and drought events in the region may increase.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103278"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177842","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}
引用次数: 0
Modified progressive iterative approximation techniques for interoperable conversion of QT-Bézier and rational Bézier curve
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103256
Mohamad Ekram Nordin, Md Yushalify Misro
This paper presents an in-depth evaluation of modified Progressive Iterative Approximation (PIA) methods for basis curve conversion and approximation, addressing critical challenges in Quadratic Trigonometric (QT) Bézier and rational Bézier curves. The novelty of this study lies in the introduction of two distinct modified PIA methods designed to efficiently transform these curves. PIA Type 1 provides a new approach for converting QT-Bézier curves into standard Bézier curves through degree elevation, solving interoperability issues across software platforms. PIA Type 2 introduces a novel method for optimizing the shape parameter m, enabling efficient conversion of rational Bézier curves into QT-Bézier curves. By dynamically adjusting m, PIA Type 2 improves curve approximation without adding extra control points, offering a more efficient alternative to traditional methods that typically increase control points to enhance accuracy. The study demonstrates that PIA Type 1 achieves highly accurate conversions with minimal errors, while PIA Type 2 highlights the significance of selecting the optimal shape parameter for effective transformations. Both methods are grounded in a robust mathematical framework, allowing precise local adjustments and enhancing both accuracy and computational efficiency. These contributions address a critical gap in curve representation by providing flexible and efficient solutions for curve conversion and approximation.
{"title":"Modified progressive iterative approximation techniques for interoperable conversion of QT-Bézier and rational Bézier curve","authors":"Mohamad Ekram Nordin,&nbsp;Md Yushalify Misro","doi":"10.1016/j.asej.2024.103256","DOIUrl":"10.1016/j.asej.2024.103256","url":null,"abstract":"<div><div>This paper presents an in-depth evaluation of modified Progressive Iterative Approximation (PIA) methods for basis curve conversion and approximation, addressing critical challenges in Quadratic Trigonometric (QT) Bézier and rational Bézier curves. The novelty of this study lies in the introduction of two distinct modified PIA methods designed to efficiently transform these curves. PIA Type 1 provides a new approach for converting QT-Bézier curves into standard Bézier curves through degree elevation, solving interoperability issues across software platforms. PIA Type 2 introduces a novel method for optimizing the shape parameter <em>m</em>, enabling efficient conversion of rational Bézier curves into QT-Bézier curves. By dynamically adjusting <em>m</em>, PIA Type 2 improves curve approximation without adding extra control points, offering a more efficient alternative to traditional methods that typically increase control points to enhance accuracy. The study demonstrates that PIA Type 1 achieves highly accurate conversions with minimal errors, while PIA Type 2 highlights the significance of selecting the optimal shape parameter for effective transformations. Both methods are grounded in a robust mathematical framework, allowing precise local adjustments and enhancing both accuracy and computational efficiency. These contributions address a critical gap in curve representation by providing flexible and efficient solutions for curve conversion and approximation.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103256"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178411","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}
引用次数: 0
Finite time stability for Hadamard fractional-order systems
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2025.103263
Omar Naifar , Abdellatif Ben Makhlouf , Lassaad Mchiri , Mohamed Rhaima
This paper examines the properties of finite-time stability (FTS) in the sense of Hadamard fractional-order systems. The investigation utilizes the Hadamard fractional derivative to formulate and analyze these systems, establishing FTS criteria based on the Lyapunov theory. Additionally, this paper presents a comprehensive exploration of methodologies for finite-time stabilization and observer design in these classes of Hadamard fractional order systems. The theoretical advancements are reinforced by illustrative examples and case studies, which serve to demonstrate the effectiveness and applicability of the methodologies put forth.
{"title":"Finite time stability for Hadamard fractional-order systems","authors":"Omar Naifar ,&nbsp;Abdellatif Ben Makhlouf ,&nbsp;Lassaad Mchiri ,&nbsp;Mohamed Rhaima","doi":"10.1016/j.asej.2025.103263","DOIUrl":"10.1016/j.asej.2025.103263","url":null,"abstract":"<div><div>This paper examines the properties of finite-time stability (FTS) in the sense of Hadamard fractional-order systems. The investigation utilizes the Hadamard fractional derivative to formulate and analyze these systems, establishing FTS criteria based on the Lyapunov theory. Additionally, this paper presents a comprehensive exploration of methodologies for finite-time stabilization and observer design in these classes of Hadamard fractional order systems. The theoretical advancements are reinforced by illustrative examples and case studies, which serve to demonstrate the effectiveness and applicability of the methodologies put forth.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103263"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178414","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}
引用次数: 0
Functional analysis of LIDAR technology in optimizing efficiency and sustainability in construction sector
IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-02-01 DOI: 10.1016/j.asej.2024.103258
Ahsan Waqar , Dorin Radu , Badr T. Alsulami , Branislav Đorđević , Ahmed Fathi Mohamed Salih Ebrahim , Hamad R. Almujibah
The construction is fraught with growing environmental and efficiency issues contributing a significant percentage toward the use of energy worldwide and carbon emission. Among several technologies that are now coming to light in the sustainable area of management of construction, one with good promise is LIDAR (Light Detection and Ranging). The purpose of this research is to fill a big knowledge gap regarding the direct impacts on construction project management from LIDAR, like cost, safety, environmental influence, precision, and efficiency. The results, therefore, demonstrate that there were significant improvements in different aspects of the system, which included time efficiency (0.27), cost-saving (0.126 average effect), safety (0.148), and reduction of environmental impact (0.372). Equally, the value of the predictive relevance Q2 = 0.529 further highlights the capability of the model for accurate predictions. This study supports the view that integration of LIDAR may be a strategic enabler of sustainable practice.
{"title":"Functional analysis of LIDAR technology in optimizing efficiency and sustainability in construction sector","authors":"Ahsan Waqar ,&nbsp;Dorin Radu ,&nbsp;Badr T. Alsulami ,&nbsp;Branislav Đorđević ,&nbsp;Ahmed Fathi Mohamed Salih Ebrahim ,&nbsp;Hamad R. Almujibah","doi":"10.1016/j.asej.2024.103258","DOIUrl":"10.1016/j.asej.2024.103258","url":null,"abstract":"<div><div>The construction is fraught with growing environmental and efficiency issues contributing a significant percentage toward the use of energy worldwide and carbon emission. Among several technologies that are now coming to light in the sustainable area of management of construction, one with good promise is LIDAR (Light Detection and Ranging). The purpose of this research is to fill a big knowledge gap regarding the direct impacts on construction project management from LIDAR, like cost, safety, environmental influence, precision, and efficiency. The results, therefore, demonstrate that there were significant improvements in different aspects of the system, which included time efficiency (0.27), cost-saving (0.126 average effect), safety (0.148), and reduction of environmental impact (0.372). Equally, the value of the predictive relevance Q<sup>2</sup> = 0.529 further highlights the capability of the model for accurate predictions. This study supports the view that integration of LIDAR may be a strategic enabler of sustainable practice.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103258"},"PeriodicalIF":6.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178727","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}
引用次数: 0
期刊
Ain Shams Engineering Journal
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1