Pub Date : 2025-02-09DOI: 10.1016/j.asej.2025.103294
Aawag Mohsen Alawag , Wesam Salah Alaloul , Hisham Mohamad , M.S. Liew , Mokhtar Awang , Abdullah O. Baarimah
This study develops a model for Total Quality Management (TQM) in Malaysian Industrialized Building System (IBS) projects, examining the impact of critical success factors (CSFs) on TQM application. Within the scope of a survey carried out among construction experts, 371 valid answers were processed, which is regarded as adequate for performing Structural Equation Modeling (SEM) analysis. Through a survey among construction experts in Malaysia and subsequent PLS-SEM analysis, six CSFs were identified as significantly influencing TQM implementation in IBS projects. These factors underscore the importance of strategic focus on key areas to enhance TQM practices within the construction industry. Collectively, these CSFs account for 70.7 % of the effectiveness in implementing TQM, indicating their substantial role in the success of TQM strategies. The outcomes of this research have significant implications for the decision-making process in the construction field, particularly in the context of Malaysian Industrialized Building System (IBS) projects.
{"title":"Evaluating the role of critical success factors of Total quality management (TQM) implementation through SmartPLS in industrialized building projects (IBS)","authors":"Aawag Mohsen Alawag , Wesam Salah Alaloul , Hisham Mohamad , M.S. Liew , Mokhtar Awang , Abdullah O. Baarimah","doi":"10.1016/j.asej.2025.103294","DOIUrl":"10.1016/j.asej.2025.103294","url":null,"abstract":"<div><div>This study develops a model for Total Quality Management (TQM) in Malaysian Industrialized Building System (IBS) projects, examining the impact of critical success factors (CSFs) on TQM application. Within the scope of a survey carried out among construction experts, 371 valid answers were processed, which is regarded as adequate for performing Structural Equation Modeling (SEM) analysis. Through a survey among construction experts in Malaysia and subsequent PLS-SEM analysis, six CSFs were identified as significantly influencing TQM implementation in IBS projects. These factors underscore the importance of strategic focus on key areas to enhance TQM practices within the construction industry. Collectively, these CSFs account for 70.7 % of the effectiveness in implementing TQM, indicating their substantial role in the success of TQM strategies. The outcomes of this research have significant implications for the decision-making process in the construction field, particularly in the context of Malaysian Industrialized Building System (IBS) projects.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103294"},"PeriodicalIF":6.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372605","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 : 2025-02-08DOI: 10.1016/j.asej.2025.103274
Mark Kirby, Funmilayo Ebun Rotimi, Nicola Naismith
The New Zealand residential construction sector faces significant quality-related challenges that hinder its productivity despite its significant impact on the national economy. This study uses a mixed-methods approach to evaluate the effectiveness of quality management as a strategy in improving New Zealand residential construction productivity. Data were collected from 106 of 305 questionnaires distributed by construction industry bodies. Key findings emphasise three improvement strategies: (1) implementing a productivity certification and training scheme, (2) addressing the industry’s prioritisation of time and cost over quality, and (3) enhancing quality management practices. The study confirms the ISO9000 quality management standards and Lean construction methods are widely supported as strategies for improving productivity. The study highlights the need for greater awareness of quality managements’ strategic value and the importance of government support and enhanced organisational leadership. Recommendations include the gradual implementation of ISO9000 quality management standards and the establishment of an industry-wide productivity training program. This study uniquely investigates New Zealand residential construction productivity, providing novel insights and recommendations for policymakers, industry professionals, organisations, and construction practitioners to align with global demand and improve productivity through enhanced quality.
{"title":"A multidimensional analysis of strategies for improving New Zealand residential construction productivity","authors":"Mark Kirby, Funmilayo Ebun Rotimi, Nicola Naismith","doi":"10.1016/j.asej.2025.103274","DOIUrl":"10.1016/j.asej.2025.103274","url":null,"abstract":"<div><div>The New Zealand residential construction sector faces significant quality-related challenges that hinder its productivity despite its significant impact on the national economy. This study uses a mixed-methods approach to evaluate the effectiveness of quality management as a strategy in improving New Zealand residential construction productivity. Data were collected from 106 of 305 questionnaires distributed by construction industry bodies. Key findings emphasise three improvement strategies: (1) implementing a productivity certification and training scheme, (2) addressing the industry’s prioritisation of time and cost over quality, and (3) enhancing quality management practices. The study confirms the ISO9000 quality management standards and Lean construction methods are widely supported as strategies for improving productivity. The study highlights the need for greater awareness of quality managements’ strategic value and the importance of government support and enhanced organisational leadership. Recommendations include the gradual implementation of ISO9000 quality management standards and the establishment of an industry-wide productivity training program. This study uniquely investigates New Zealand residential construction productivity, providing novel insights and recommendations for policymakers, industry professionals, organisations, and construction practitioners to align with global demand and improve productivity through enhanced quality.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103274"},"PeriodicalIF":6.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372606","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 : 2025-02-08DOI: 10.1016/j.asej.2025.103302
Qiangqiang Zheng , Pingfeng Li , Ying Xu , Bing Cheng , Hao Hu , Hao Shi , Shoudong Xie
This study investigates the dynamic crack propagation mechanism in damaged rocks under blasting excavation in complex geological conditions. A novel rock fracture analysis method based on pre-compression-induced random damage is proposed, overcoming the limitations of traditional prefabricated crack models. Innovatively, multi-level cyclic static pre-compression is applied to simulate the random damage distribution in engineering-scale rocks, combined with high-resolution computed tomography (CT) imaging to achieve non-destructive 3D visualization of internal crack morphologies under explosive loading. A theoretical model for predicting blast-induced crack propagation radius in damaged sandstone is established and validated through integrated laboratory blast experiments, CT scanning, and PFC-2D numerical simulations, demonstrating a prediction error margin below 5%. Key findings reveal a significant positive correlation between sandstone damage levels and the expansion range of blast-induced cracks as well as crater dimensions. The pre-existing crack network in damaged rocks effectively guides gas wedging effects, unveiling a “weakening-synergistic fracturing” dual mechanism. These results provide theoretical foundations and technical support for optimizing blasting parameters and mitigating dynamic disasters in tunnel engineering under complex geological settings.
{"title":"Crack propagation and CT imaging of internal cracks in rocks damaged by pre-compression under explosive loading","authors":"Qiangqiang Zheng , Pingfeng Li , Ying Xu , Bing Cheng , Hao Hu , Hao Shi , Shoudong Xie","doi":"10.1016/j.asej.2025.103302","DOIUrl":"10.1016/j.asej.2025.103302","url":null,"abstract":"<div><div>This study investigates the dynamic crack propagation mechanism in damaged rocks under blasting excavation in complex geological conditions. A novel rock fracture analysis method based on pre-compression-induced random damage is proposed, overcoming the limitations of traditional prefabricated crack models. Innovatively, multi-level cyclic static pre-compression is applied to simulate the random damage distribution in engineering-scale rocks, combined with high-resolution computed tomography (CT) imaging to achieve non-destructive 3D visualization of internal crack morphologies under explosive loading. A theoretical model for predicting blast-induced crack propagation radius in damaged sandstone is established and validated through integrated laboratory blast experiments, CT scanning, and PFC-2D numerical simulations, demonstrating a prediction error margin below 5%. Key findings reveal a significant positive correlation between sandstone damage levels and the expansion range of blast-induced cracks as well as crater dimensions. The pre-existing crack network in damaged rocks effectively guides gas wedging effects, unveiling a “weakening-synergistic fracturing” dual mechanism. These results provide theoretical foundations and technical support for optimizing blasting parameters and mitigating dynamic disasters in tunnel engineering under complex geological settings.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103302"},"PeriodicalIF":6.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348757","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}
The aim of the present work was to investigate the effects of operating conditions on the flow behaviors and the generated power produced by breastshot waterwheels both experimentally and numerically. The experiments were carried out using a breastshot water wheel with the diameter of 500 mm, the width of 140 mm and the number of blades of 14. The wheel was installed on a channel with the weir head of 250 mm, the headrace length of 100 mm, and the water flow rate of 0.014 m3/sec. In the numerical simulation, the hydraulic channel was considered to be laterally symmetric, therefore only half of the section was taken into account. The simulation of free surface movement was calculated using the volume of fluid (VOF) method, and the static and rotating region interface was treated using the sliding mesh interface (SMI). The calculated torque and power, as well as the flow patterns under various operating conditions are in a good agreement with those of the experiments. The visualization of the flow shows that the lower the rotational speed of the wheel, the greater the volume of water hitting the wheel blades, and the greater the torque produced by the water wheel. It was also confirmed that the periodical change of torque depends on the rotational speed and the number of wheel blades, and relates to the periodical change of the pressure on the blade surfaces. Furthermore, it is shown that the forward pressure that generates a positive torque mainly applies on a blade at a specific location. Under the decrease of rotational speed, the location of maximum forward pressure moves from the downstream blade to the upstream blade.
{"title":"The experimental and numerical studies on the effects of the operating conditions on the performance of breastshot waterwheel","authors":"Agato Agato , Deendarlianto Deendarlianto , Indarto Indarto , Alfeus Sunarso","doi":"10.1016/j.asej.2025.103292","DOIUrl":"10.1016/j.asej.2025.103292","url":null,"abstract":"<div><div>The aim of the present work was to investigate the effects of operating conditions on the flow behaviors and the generated power produced by breastshot waterwheels both experimentally and numerically. The experiments were carried out using a breastshot water wheel with the diameter of 500 mm, the width of 140 mm and the number of blades of 14. The wheel was installed on a channel with the weir head of 250 mm, the headrace length of 100 mm, and the water flow rate of 0.014 m<sup>3</sup>/sec. In the numerical simulation, the hydraulic channel was considered to be laterally symmetric, therefore only half of the section was taken into account. The simulation of free surface movement was calculated using the volume of fluid (VOF) method, and the static and rotating region interface was treated using the sliding mesh interface (SMI). The calculated torque and power, as well as the flow patterns under various operating conditions are in a good agreement with those of the experiments. The visualization of the flow shows that the lower the rotational speed of the wheel, the greater the volume of water hitting the wheel blades, and the greater the torque produced by the water wheel. It was also confirmed that the periodical change of torque depends on the rotational speed and the number of wheel blades, and relates to the periodical change of the pressure on the blade surfaces. Furthermore, it is shown that the forward pressure that generates a positive torque mainly applies on a blade at a specific location. Under the decrease of rotational speed, the location of maximum forward pressure moves from the downstream blade to the upstream blade.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103292"},"PeriodicalIF":6.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372592","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 : 2025-02-07DOI: 10.1016/j.asej.2025.103297
Muhammad Aqeel , Sohail Iqbal , Maaz Khan , Ghufran Ahmed Pasha , Usman Ghani , Afzal Ahmed , Xianrui Zhao
Spur dike field (SDF) have recently gained attention as habitats for aquatic life. However, limited knowledge exists on how different configurations of roughness elements (RE) interact with recirculating flow in these environments. This study aims to investigate the influence of various RE arrangements (single, double, and triple layers) on hydrodynamics within SDF and at the nose of downstream spur dike, focusing on flow patterns and turbulence reduction. Numerical simulations using the CFD code FLUENT (ANSYS) were conducted to analyze flow intensity, turbulent kinetic energy, and circulation patterns. The findings show that REs significantly alters circulation dynamics, transforming a concentrated recirculation eye into multiple recirculation zones. The triple-layer configuration yielded the greatest reduction in velocity and turbulence up to 39% and 46% by reducing momentum exchange between SDF and the mainstream. This novel investigation of RE configurations provides insights into optimizing spur dike designs for improved hydraulic performance and ecological benefits.
{"title":"Flow circulation dynamics in spur dike field enhanced by roughness elements","authors":"Muhammad Aqeel , Sohail Iqbal , Maaz Khan , Ghufran Ahmed Pasha , Usman Ghani , Afzal Ahmed , Xianrui Zhao","doi":"10.1016/j.asej.2025.103297","DOIUrl":"10.1016/j.asej.2025.103297","url":null,"abstract":"<div><div>Spur dike field (SDF) have recently gained attention as habitats for aquatic life. However, limited knowledge exists on how different configurations of roughness elements (RE) interact with recirculating flow in these environments. This study aims to investigate the influence of various RE arrangements (single, double, and triple layers) on hydrodynamics within SDF and at the nose of downstream spur dike, focusing on flow patterns and turbulence reduction. Numerical simulations using the CFD code FLUENT (ANSYS) were conducted to analyze flow intensity, turbulent kinetic energy, and circulation patterns. The findings show that REs significantly alters circulation dynamics, transforming a concentrated recirculation eye into multiple recirculation zones. The triple-layer configuration yielded the greatest reduction in velocity and turbulence up to 39% and 46% by reducing momentum exchange between SDF and the mainstream. This novel investigation of RE configurations provides insights into optimizing spur dike designs for improved hydraulic performance and ecological benefits.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103297"},"PeriodicalIF":6.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349068","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 : 2025-02-07DOI: 10.1016/j.asej.2025.103290
V. Milner Paul , Jijo Francis , Smriti Menon , Loitongbam Surajkumar Singh , Adarsh V. Parekkattil , Shuma Adhikari
Brain simulators are moving the field of neuroscience at a rapid pace due to their wide applicability in treating neurodegenerative disorders. Although continuing advances in the field have made significant breakthroughs, most brain simulators remain too expensive for general clinical applications We developed a user friendly, cost effective, multi-channel wireless brain stimulator that delivers output with high precision. The multichannel output of this device makes it amenable to conducting behavioral studies on different regions of the brain in rodents. The efficacy of our head-mountable device is substantiated by conducting intracranial and intracortical experiments in rats. We tested the output of the device by changing the ifrequency (100 Hz–400 Hz), amplitude, pulse width and current (10 µA – 1 mA) of the stimulator by altering the ON time period of the pulses and resistor values. We have defined optimum frequency (140 Hz) for the intracranial experiment and lower and upper threshold currents for the intracortical experiment. The successful feasibility of this device has been demonstrated invivo in rats and invitro in saline solution. Real-time experiments like Intracranial Self Stimulation (ICSS) and Intracortical Microstimulation (ICMS) tests were successful during the animal experiment to evaluate this brain stimulator. Our device has widespread applicability in conducting behavior-based studies and deriving insights into various mechanistic pathways in rodent brain.
{"title":"Development of a novel wireless telemetric brain stimulator for behavioral studies in rodents","authors":"V. Milner Paul , Jijo Francis , Smriti Menon , Loitongbam Surajkumar Singh , Adarsh V. Parekkattil , Shuma Adhikari","doi":"10.1016/j.asej.2025.103290","DOIUrl":"10.1016/j.asej.2025.103290","url":null,"abstract":"<div><div>Brain simulators are moving the field of neuroscience at a rapid pace due to their wide applicability in treating neurodegenerative disorders. Although continuing advances in the field have made significant breakthroughs, most brain simulators remain too expensive for general clinical applications We developed a user friendly, cost effective, multi-channel wireless brain stimulator that delivers output with high precision. The multichannel output of this device makes it amenable to conducting behavioral studies on different regions of the brain in rodents. The efficacy of our head-mountable device is substantiated by conducting intracranial and intracortical experiments in rats. We tested the output of the device by changing the ifrequency (100 Hz–400 Hz), amplitude, pulse width and current (10 µA – 1 mA) of the stimulator by altering the ON time period of the pulses and resistor values. We have defined optimum frequency (140 Hz) for the intracranial experiment and lower and upper threshold currents for the intracortical experiment. The successful feasibility of this device has been demonstrated invivo in rats and invitro in saline solution. Real-time experiments like Intracranial Self Stimulation (ICSS) and Intracortical Microstimulation (ICMS) tests were successful during the animal experiment to evaluate this brain stimulator. Our device has widespread applicability in conducting behavior-based studies and deriving insights into various mechanistic pathways in rodent brain.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103290"},"PeriodicalIF":6.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349072","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 : 2025-02-07DOI: 10.1016/j.asej.2025.103299
Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang
Exponential global population growth and rapid technological advancements have increased electricity demand, strained the fossil fuel-reliant energy infrastructure, and exacerbated environmental issues like greenhouse gas emissions and climate change. Transitioning to sustainable energy sources is essential for balancing energy needs with environmental conservation. Hydropower is a significant renewable resource due to its cost-effectiveness, low environmental impact, and capability to meet peak electricity demands. Optimizing hydropower generation is crucial for addressing economic and environmental concerns, though it requires comprehensive monitoring and understanding of energy conversion processes. Machine Learning techniques such as integrated Gradient Boosting and Categorical Gradient Boosting, optimized with Hunger Games search, Chaos game optimization, and Archimedes Optimization Algorithm algorithms, are used to forecast and optimize hydropower generation. The dataset involved hydropower generation data from 1819 records gathered from a particular watershed. The framework is designed to tackle challenges in the prediction of hydropower generation by effectively managing complex, multivariate data. Between the tested models, the integrated CatBoost- hunger Games search model brings out exceptional predictive accuracy, with a Coefficient of Determination of 0.9075 and a Root Mean Square Error of 45.2130 during testing. This examination’s contributions comprise the creation of a scalable, data-driven method for hydropower optimization, the illustration of its capability to decrease prediction errors remarkably, and its practical application in renewable energy management. These reports highlight the potential of the proposed configuration to elevate hydropower prediction accuracy and support the transition to sustainable energy frameworks.
{"title":"Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency","authors":"Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang","doi":"10.1016/j.asej.2025.103299","DOIUrl":"10.1016/j.asej.2025.103299","url":null,"abstract":"<div><div>Exponential global population growth and rapid technological advancements have increased electricity demand, strained the fossil fuel-reliant energy infrastructure, and exacerbated environmental issues like greenhouse gas emissions and climate change. Transitioning to sustainable energy sources is essential for balancing energy needs with environmental conservation. Hydropower is a significant renewable resource due to its cost-effectiveness, low environmental impact, and capability to meet peak electricity demands. Optimizing hydropower generation is crucial for addressing economic and environmental concerns, though it requires comprehensive monitoring and understanding of energy conversion processes. Machine Learning techniques such as integrated Gradient Boosting and Categorical Gradient Boosting, optimized with Hunger Games search, Chaos game optimization, and Archimedes Optimization Algorithm algorithms, are used to forecast and optimize hydropower generation. The dataset involved hydropower generation data from 1819 records gathered from a particular watershed. The framework is designed to tackle challenges in the prediction of hydropower generation by effectively managing complex, multivariate data. Between the tested models, the integrated CatBoost- hunger Games search model brings out exceptional predictive accuracy, with a Coefficient of Determination of 0.9075 and a Root Mean Square Error of 45.2130 during testing. This examination’s contributions comprise the creation of a scalable, data-driven method for hydropower optimization, the illustration of its capability to decrease prediction errors remarkably, and its practical application in renewable energy management. These reports highlight the potential of the proposed configuration to elevate hydropower prediction accuracy and support the transition to sustainable energy frameworks.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103299"},"PeriodicalIF":6.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349079","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 : 2025-02-06DOI: 10.1016/j.asej.2025.103293
Raghavendran. R, V. Vidhya
In this research work we study the correlation impact between the inter arrival time and service time of packets arriving to the system for transmission. By assuming the arrival in modulated form the service utilization provided by server acts with varying rate of service. The queuing quantities are obtained in closed form by using matrix geometric method. The expected waiting length of packets and other performance measures are calculated in the stationary state distribution of the process. We establish the analytic frame work of the Markov model between the inter arrival and service time to get correlation impact to study the behavioural effect in queue length, time and other performance measures.
{"title":"A study on state dependent single server queue with Markov modulated arrival under hyper exponential service times using block matrix structured approach","authors":"Raghavendran. R, V. Vidhya","doi":"10.1016/j.asej.2025.103293","DOIUrl":"10.1016/j.asej.2025.103293","url":null,"abstract":"<div><div>In this research work we study the correlation impact between the inter arrival time and service time of packets arriving to the system for transmission. By assuming the arrival in modulated form the service utilization provided by server acts with varying rate of service. The queuing quantities are obtained in closed form by using matrix geometric method. The expected waiting length of packets and other performance measures are calculated in the stationary state distribution of the process. We establish the analytic frame work of the Markov model between the inter arrival and service time to get correlation impact to study the behavioural effect in queue length, time and other performance measures.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103293"},"PeriodicalIF":6.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143207679","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 : 2025-02-06DOI: 10.1016/j.asej.2025.103287
Savari Prabhu , T. Jenifer Janany , Paul Manuel
The understanding of the structure of a network can be enhanced efficiently with distance-reliant parameters. The metric dimension is one such parameter with numerous variations and a rich source of literature. The subject of our study pertains to the metric dimension and a few of its variants for a broadly used interconnection network-omega network. Omega networks provide a structured and scalable interconnect solution for distributed memory architectures. In large-scale data centers where massive amounts of data are processed and analyzed, omega networks are used in the network infrastructure to interconnect servers and storage systems. The key feature of omega networks is their ability to provide multiple disjoint paths between any pair of nodes in the network. This characteristic helps reduce congestion and improve overall system performance, especially in large-scale parallel computing environments where data communication is a critical factor. Along with metric dimension, we provide the exact values of edge metric dimension, fault-tolerant metric and edge metric dimensions for this widely known network. We also compare these parameters with those of other predominant interconnection networks, such as the butterfly, Beneš, and fractal cubic networks, and we observe that the omega network has significantly lower values for these parameters compared to the other networks.
{"title":"An efficient way to represent the processors and their connections in omega networks","authors":"Savari Prabhu , T. Jenifer Janany , Paul Manuel","doi":"10.1016/j.asej.2025.103287","DOIUrl":"10.1016/j.asej.2025.103287","url":null,"abstract":"<div><div>The understanding of the structure of a network can be enhanced efficiently with distance-reliant parameters. The metric dimension is one such parameter with numerous variations and a rich source of literature. The subject of our study pertains to the metric dimension and a few of its variants for a broadly used interconnection network-omega network. Omega networks provide a structured and scalable interconnect solution for distributed memory architectures. In large-scale data centers where massive amounts of data are processed and analyzed, omega networks are used in the network infrastructure to interconnect servers and storage systems. The key feature of omega networks is their ability to provide multiple disjoint paths between any pair of nodes in the network. This characteristic helps reduce congestion and improve overall system performance, especially in large-scale parallel computing environments where data communication is a critical factor. Along with metric dimension, we provide the exact values of edge metric dimension, fault-tolerant metric and edge metric dimensions for this widely known network. We also compare these parameters with those of other predominant interconnection networks, such as the butterfly, Beneš, and fractal cubic networks, and we observe that the omega network has significantly lower values for these parameters compared to the other networks.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103287"},"PeriodicalIF":6.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143207683","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 : 2025-02-06DOI: 10.1016/j.asej.2025.103301
Mushtaq Muhammad Umer , Hein Venter , Owais Muhammad , Tamoor Shafique , Fuad A. Awwad , Emad A.A. Ismail
Many sectors in aerial transportation use unmanned aircraft vehicles (UAVs) extensively. This becomes even more challenging in complex environments where not only it is required to avoid obstacles, but it also must be maintained for a prolonged period of time. This paper presents a novel approach to increase UAV autonomy through safe and efficient flight trajectory design. An optimization problem is formulated with external and internal safety constraints, and traversing collision free paths. The proposed work offers an energy efficient RRT algorithm, which is used to assess multiple trajectory alternatives. The simulation results confirm the achieved performance in finding the optimal energy path while obeying to the safety constraint. The data and performance metrics, show the system operated in a safe and energy efficient manner. This work provides a unified framework for UAV trajectory planning that guarantees a trade-off between safety and energy efficiency.
{"title":"Cognitive strategies for UAV trajectory optimization: Ensuring safety and energy efficiency in real-world scenarios","authors":"Mushtaq Muhammad Umer , Hein Venter , Owais Muhammad , Tamoor Shafique , Fuad A. Awwad , Emad A.A. Ismail","doi":"10.1016/j.asej.2025.103301","DOIUrl":"10.1016/j.asej.2025.103301","url":null,"abstract":"<div><div>Many sectors in aerial transportation use unmanned aircraft vehicles (UAVs) extensively. This becomes even more challenging in complex environments where not only it is required to avoid obstacles, but it also must be maintained for a prolonged period of time. This paper presents a novel approach to increase UAV autonomy through safe and efficient flight trajectory design. An optimization problem is formulated with external and internal safety constraints, and traversing collision free paths. The proposed work offers an energy efficient RRT algorithm, which is used to assess multiple trajectory alternatives. The simulation results confirm the achieved performance in finding the optimal energy path while obeying to the safety constraint. The data and performance metrics, show the system operated in a safe and energy efficient manner. This work provides a unified framework for UAV trajectory planning that guarantees a trade-off between safety and energy efficiency.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 3","pages":"Article 103301"},"PeriodicalIF":6.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143207682","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}
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