Arabian Journal for Science and Engineering最新文献

{"title":"Numerical Simulation of a Parabolic Through Solar Collector with a Novel Geometric Design Equipped with an Elliptical Absorber Tube Under the Influence of Magnetic Field","authors":"Ali Golzar, Alireza Aghaei, Hamid Mohsenimonfared, Ali Hassani Joshaghani","doi":"10.1007/s13369-024-09374-y","DOIUrl":"https://doi.org/10.1007/s13369-024-09374-y","url":null,"abstract":"<p>The primary basis of the present study is the design of a new geometry of the parabolic through solar collector in order to achieve maximum thermal efficiency. Most of the absorber tubes used in solar system have a circular cross section. In this study, the cross section of the PTSC absorber tube is modeled as elliptical. Also, in this study, in order to make thermal properties more practical, DWCNT and GO nanoparticles were dispersed in Syltherm 800 base fluid. Syltherm 800 heat transfer oil is used as a condensing HT oil up to the highest temperature, because this BF has low viscosity and high thermal stability. Also, using this BF in TS prevents sedimentation and pollution. An innovative combined turbulator has been used to change the shape of flow lines to create turbulence in the path of the absorber tube. In addition, in the final stage of elliptical absorber tube, in the middle part where ICT is located, it is affected by the magnetic field, and different values of Hartmann number are checked on it. The obtained numerical results state that the most trend of changes in the average Nusselt number in EAT is due to the presence of ICT in the hybrid nanofluid flow path. However, in the next step, the most changes that can be seen in the <span>({text{Nu}}_{{{text{ave}}}})</span> are due to the increase in the transverse ratio of ICT. Based on the results, it can be stated that the use of the MF in higher Ha has a significant effect on the hydrodynamic performance of the SS of the present study and increases the value of the PEC index to some extent compared to lower Ha. Also, based on the results, the Ha = 150 has the highest exergy efficiency <span>((eta_{{{text{ex}}}} ))</span> values in all the investigated Re ranges. After that, Ha = 100 and 50 are in successive positions. The highest exergy efficiency in the absence of a magnetic field occurs at a Reynolds number of 10,000, a volume fraction of 4%, and for <i>ξ</i> = 12 mm, which is around 55%. The lowest exergy efficiency with change of Hartmann number occurs at Reynolds number of 60,000, volume fraction of 4%, PR = 2, and in <i>ξ</i> = 12 mm.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"72 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141786229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EV Fleet Energy Management Strategy For Smart Microgrids Considering Multiple Objectives: Techno-Economic Perspective","authors":"A. Sudhakar, B. Mahesh Kumar","doi":"10.1007/s13369-024-09209-w","DOIUrl":"https://doi.org/10.1007/s13369-024-09209-w","url":null,"abstract":"<p>Rapid advancements in battery technologies led to dramatic growth in adoption of electric vehicles (EVs) all over the world. On the other hand, ever-increasing renewable energy sources (RES) in microgrids (MGs) posing numerous challenges ahead. In this context, EVs can be used as virtual storage units to confront the intermittency aspect of RES in MG scenarios. This work proposes an EV fleet control strategy to implement a three-layer energy management system: Optimal storage distribution (OSD), optimal power exchange (OPE) and smart EV ranking (SER). The key objectives are minimizing grid dependency, energy cost, EV battery degradation and to maximize EV storage usage. Water filling algorithm is used to obtain OSD and multi-objective optimization problem is formulated and solved by e-constraint method to obtain OPE. SER is implemented using a fuzzy logic controller where a number of decision variables are involved. EV battery degradation has been considered through SER by including a key decision variable, EV usage probability (EUP). EUP has been obtained using a probabilistic approach that accounts all possible state transitions of each EV in the given time interval. An on-grid MG scenario with EV fleets and RES is considered to implement the proposed EMS.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"39 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy-Efficient Multi-UAV Multi-Region Coverage Path Planning Approach","authors":"Gamil Ahmed, Tarek Sheltami, Ashraf Mahmoud","doi":"10.1007/s13369-024-09295-w","DOIUrl":"https://doi.org/10.1007/s13369-024-09295-w","url":null,"abstract":"<p>Due to the high deployment flexibility and strong maneuverability, unmanned aerial vehicles (UAVs) have gained a significant attention in civilian and military applications. One of the main essential aspects of UAV is coverage path planning (CPP), which autonomously obtains sufficient paths to cover the entire region of interest (RoI). Several advantages have been offered by UAVs’ CPP such as cost and time efficiency, reduced human intervention, resource optimization, data collection, scalability, and adaptability. However, the flight time of UAVs is constrained by battery capacity, necessitating energy-efficient solutions to prolong flight duration. This paper introduces a novel approach for energy-efficient multi-UAV multi-region CPP to generate appropriate paths that cover multiple disjoint regions, aiming to minimize overall energy consumption. First, we employ a back-and-forth strategy to generate intra-region path patterns with minimum turns and propose a smoothing turns approach (STA) based on Bezier curves to effectively reduce an energy consumption due to taking turns. Then, the inter-region path planning is formulated as a multi-constraint optimization problem and solved utilizing the CPLEX solver for small-scale problems and heuristic approaches for large-scale ones. A region allocation approach is proposed to assign RoIs to appropriate UAVs. Simulations are conducted to evaluate the performance of the proposed approach in terms of energy consumption. Comparative results against EECPPA and Nearest Neighbor (NN) approaches demonstrate advantages in energy consumption reduction. Besides, heuristic methods yield superior solutions for large-scale problems within shorter execution times compared to the CPLEX solver. These comparisons highlight the superiority of the proposed approach over existing methods in generating higher-quality solutions.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"28 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Customized CNN for Multi-Class Classification of Brain Tumor Based on MRI Images","authors":"Bentahar Heythem, Mohamad Djerioui, Tawfiq Beghriche, Azzedine Zerguine, Azeddine Beghdadi","doi":"10.1007/s13369-024-09284-z","DOIUrl":"https://doi.org/10.1007/s13369-024-09284-z","url":null,"abstract":"<p>In this paper, we propose a new strategy to exploit the advantages of Deep Neural Network-based architectures for brain tumor classification using MRI images for a better diagnosis. This was achieved by analyzing and evaluating pre-trained models on three different datasets<b>.</b> To better design the optimal architecture for solving the classification of brain tumor using MRIs, we have conducted extensive experiment-based analysis on how different layers of Convolutional Neural Network (CNN) process the inputs. Four distinct architectures are then built, each with its specific hyperparameters and layers. The images are fed into the convolutional layers for feature extraction followed by a softmax function before applying the classification process. An extensive experimental study carried out clearly demonstrates that our novel CNN-based classification approach achieves state-of-the-art accuracy, precision, recall and an F1-score of 99.76% 99.64% 99.62% and 99.64%, respectively. Also, a higher performance in terms of Micro-Avg Matthew correlation coefficient (MCC) of 0.929 is achieved. This exceptional performance is achieved thanks to the new proposed model's architecture. Indeed, unlike conventional methods, that often rely on complex transfer learning models or hybrid architectures, our approach utilizes a custom and non-hybrid scheme. Consequently, this streamlined architecture offers a significant advantage of being remarkably lightweight, enabling efficient operation on resource-constrained computing systems.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"61 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microstructure and Wear Behaviour of Ultrasonically Processed Al–MgAl2O4 In-Situ Composite","authors":"Ashish Thakur, Ramendra Kumar Gupta, S. G. Sapate, D. R. Peshwe, Y. Y. Mahajan","doi":"10.1007/s13369-024-09277-y","DOIUrl":"https://doi.org/10.1007/s13369-024-09277-y","url":null,"abstract":"<p>This work reports the effects of ultrasonic treatment on microstructure and abrasive wear properties of in-situ Al–MgAl₂O₄ composites synthesized using Al and 2 wt% Mg alloy with a 2 wt% SiO₂ oxide source. Microstructural analysis (SEM, EDAX, FESEM, TEM, and polarized optical microscopy) proved that after ultrasonic treatment of the melt, MgAl₂O₄ particle got fragmented and particle size decreased from micron to nano-size range. Grain size was reduced by 68%, and the overall homogeneity of microstructure increased. After ultrasonic treatment, hardness of composites increased by 42% due to reactively generated and well-disseminated hard MgAl₂O₄ particles. Wear studies showed that ultrasonic treatment affected the abrasive wear properties of composites. A comparison of abrasive wear behaviour of non-ultrasonically treated (non-UST) Al–MgAl₂O₄ and UST Al–MgAl₂O₄ composites was evaluated using pin-on-disk apparatus against SiC abrasives with varying load (10–20 N). With increasing load, lesser wear loss and a reduced coefficient of friction were witnessed in UST Al–MgAl₂O₄ composites as compared to non-UST Al–MgAl₂O₄ composites. SEM analysis showed that surface deterioration seen for UST Al–MgAl₂O₄ composites was less severe than non-UST Al–MgAl₂O₄ composites. Further assessment of wear mechanisms by microstructural characterizations of the worn-out surface, wear debris and abraded abrasive media has explained improved tribological properties of UST Al–MgAl₂O₄ composite over non-UST Al–MgAl₂O₄composite.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"322 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic CVR Assessment in Distribution Networks using Synthetic Consumption Database of Household Appliances","authors":"Muhammad Ayaz, Syed M. Hur Rizvi, Muhammad Akbar","doi":"10.1007/s13369-024-09280-3","DOIUrl":"https://doi.org/10.1007/s13369-024-09280-3","url":null,"abstract":"<p>The operational behavior of modern active distribution networks differs greatly from their passive predecessors. Active network management schemes, such as Conservation Voltage Reduction (CVR), are being widely explored to enhance energy conservation and network resiliency. CVR can potentially decrease energy consumption in distribution networks by reducing the voltage at load terminals. However, accurately assessing CVR suitability for distribution feeders is paramount, as it exploits the voltage dependency of load. Most CVR assessment schemes require extensive data from smart meters, micro-pmus, and detailed network topology information. This paper presents a novel synthetic data-based approach for probabilistic CVR assessment, which uses customer categorization to generate realistic synthetic data for probabilistic assessment, taking into account the voltage dependency of common household appliances. Additionally, an extended version of the probabilistic synthetic-data-based approach is introduced to enhance the accuracy of CVR assessment using limited distribution network information. MATLAB was used for data handling and customer categorization, while OpenDSS was used for power flow analysis to evaluate CVR effectiveness. The proposed CVR assessment methodologies are tested and validated in detail for the TOPI distribution network in KPK, Pakistan. The study’s findings shows that CVR can significantly reduce energy and cost, with a 10.13% reduction in energy use and approximately 4 million PKR in cost</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"15 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Seismic Response Evaluation of an Existing Multi-span Reinforced Concrete Highway Bridge in the Presence of Linear and Nonlinear Viscous Dampers","authors":"Adnan Kiral, Ali Gurbuz, Ilker Ustabas","doi":"10.1007/s13369-024-09265-2","DOIUrl":"https://doi.org/10.1007/s13369-024-09265-2","url":null,"abstract":"<p>It’s crucial to keep bridges safe and operational all the time. Before or after an earthquake, they may require immediate seismic retrofitting. In this situation, adopting both isolation systems and viscous dampers could be used as a solution. Therefore, the seismic performance of a RC bridge with linear and nonlinear viscous dampers at both pier tops and abutments is investigated. The selected bridge model is the Incesu Bridge in Artvin province in north–eastern Turkiye. In the bridge model, elastomer bearings (EBs) and viscous dampers (VDs) are added to the abutments and the tops of the piers (i.e., the bridge deck connection points). The results revealed that the maximum bending moment of two piers could be significantly reduced compared with the case where the pier’s tops are fixed to its deck. However, a large level of a viscous damper coefficient added to a bridge could cause structural damage to its deck under a strong design earthquake.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"48 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Leukemia Gene Features Extraction and Selection Technique for Robust Type Prediction Using Machine Learning","authors":"Mahwish Ilyas, Khalid Mahmood Aamir, Abdul Jaleel, Mohamed Deriche","doi":"10.1007/s13369-024-09254-5","DOIUrl":"https://doi.org/10.1007/s13369-024-09254-5","url":null,"abstract":"<p>The broad term ‘leukemia’ refers to different types of cancer related to blood cells. Detecting and identifying the specific type of leukemia continues to be a major challenge in the medical field. Diverse machine learning techniques can be vital in analyzing gene expression data from microarray experiments in cancer research related to leukemia. In particular, the Leukemia Gene Expression data from the Curated Microarray Database (CuMiDa) is used here. Microarrays can be challenging in determining expression patterns. In this work, we use Fisher’s linear discriminant analysis, a popular technique for dimensionality reduction, together with a new feature selection approach to predict leukemia using microarray data. Our machine learning model is used to predict five types of leukemia including AML, PBSC CD34, Bone Marrow, and CD34 from the bone marrow. This is achieved by first rescaling the data features. We then use a feature selection technique to obtain the 25 most significant features from the dataset’s 22,283 features, then further reduce the dimension to 5 features only, to reduce computational complexity. These features are then fed into a Fisher’s linear discriminant module and a likelihood-based index for classification. The overall performance of our model was excellent. We examine the results using 2, 4, 5, 6, and 7 selected features. The best classification accuracies are 89.6%, 96.92%, and 96.15%, for 2, 5, and 7 selected features, respectively. Our results outperform the state-of-the-art by about 4%, with an excellent task completion time of less than 100 ms.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"16 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Underground Cavities Using Seismic Wave Methods in Geostatistical Environment","authors":"Parnia Dolatyari, Hossein Rahnema, Sohrab Mirassi","doi":"10.1007/s13369-024-09206-z","DOIUrl":"https://doi.org/10.1007/s13369-024-09206-z","url":null,"abstract":"<p>The stability of ground structures is severely threatened by underground anomalies, such as cavities, so accurate identification of them prior to the construction process is vital. Meanwhile, the detection of underground cavities using seismic wave methods, which are developing rapidly, is a challenging task for which various approaches have been found. This paper numerically models a site and simulates geophones horizontally and vertically to more accurately identify the location of cavities and some factors in their identification. For this purpose, a real site with three drilled boreholes is considered and the value of variable soil parameters is estimated using the Ordinary Co-Kriging (OCK) geostatistical method and the Python programming language, the site and tests are modeled by the finite element method (FEM—ABAQUS software). In this paper, the effect of changes in the standard deviation of soil parameters, the frequency content of the seismic source, and the number and depth of cavities on seismogram resolution have been investigated in homogeneous and heterogeneous media. The results show that in conditions where the seismogram does not have good resolution, the coherence method can be used for the identification of single and multiple subsurface cavities. Furthermore, when the geophones are placed along the vertical direction in the borehole, they are able to detect deeper cavities with better resolution and shorter geophone array length than in the horizontal direction.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"37 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiating Elements Using Novel Configurations Based on Leaf Structures","authors":"Jose I. Lozano, Marco A. Panduro, Alberto Reyna, Elizvan Juarez, Roberto Conte","doi":"10.1007/s13369-024-09143-x","DOIUrl":"https://doi.org/10.1007/s13369-024-09143-x","url":null,"abstract":"<p>Several novel configurations based on leaf structures are proposed for generating radiating elements. The next leaf architectures (found in nature) are assessed and studied: <i>Phyllanthus poumensis</i> Phyllanthaceae, <i>Desfontainea spinosa</i> Desfontaineaceae, <i>Rubus mesogaeus</i> Rosaceae, <i>Adenia heterophylla</i> Passifloraceae, <i>Leepierceia preartocarpoides</i> Proteales and <i>Tetracera rotundifolia</i> Dilleniaceae. Each leaf architecture generates a radiating element by processing the image of plant leaf. The contributions of this proposal are: Six new antenna designs are provided with interesting characteristics in electromagnetic radiation and frequency performance, and a comparative study is made between the performance of the proposed designs and the existing work found in the literature. Simulation and experimental results are provided to evaluate and discuss each leaf antenna. An analysis in detail is provided considering parameters such as reflection coefficient, VSWR, antenna gain, current distribution and radiation pattern. The prototype and the experimental results (of each leaf architecture) are assessed considering the impact on the design of radiating elements and some wireless technology applications.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"54 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}