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The Structural Behavior of Heat-Damaged Flat Slabs with Openings of Different Sizes and Locations 不同开孔尺寸和位置热损伤平板的结构性能
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-03 DOI: 10.1007/s13369-023-08411-6
Bara’a R. Alnemrawi, Rajai Z. Al-Rousan, Ayman N. Ababneh
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引用次数: 0
Correction: Using 2D Hénon Map, Cycling Chaos and DNA Sequence for New Secure Color Image Encryption Algorithm 修正:利用二维hsamnon图、循环混沌和DNA序列实现新的安全彩色图像加密算法
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-03 DOI: 10.1007/s13369-023-08407-2
Morteza SaberiKamarposhti, Mahdi Sahlabadi, Chia-Chen Lin, Ravie Chandren Muniyandi
{"title":"Correction: Using 2D Hénon Map, Cycling Chaos and DNA Sequence for New Secure Color Image Encryption Algorithm","authors":"Morteza SaberiKamarposhti, Mahdi Sahlabadi, Chia-Chen Lin, Ravie Chandren Muniyandi","doi":"10.1007/s13369-023-08407-2","DOIUrl":"https://doi.org/10.1007/s13369-023-08407-2","url":null,"abstract":"","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135868579","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}
引用次数: 0
Categorization of Breast Carcinoma Histopathology Images by Utilizing Region-Based Convolutional Neural Networks 基于区域卷积神经网络的乳腺癌组织病理图像分类
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-02 DOI: 10.1007/s13369-023-08387-3
Tuğçe Sena Altuntaş, Tuğba Toyran, Sami Arıca
{"title":"Categorization of Breast Carcinoma Histopathology Images by Utilizing Region-Based Convolutional Neural Networks","authors":"Tuğçe Sena Altuntaş, Tuğba Toyran, Sami Arıca","doi":"10.1007/s13369-023-08387-3","DOIUrl":"https://doi.org/10.1007/s13369-023-08387-3","url":null,"abstract":"","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135936000","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}
引用次数: 0
Rock Typing and Reservoir Quality Analysis of the Abu Madi Reservoir: Distribution Prediction Using Artificial Neural Networks in the West El Manzala Area, Onshore Nile Delta, Egypt 埃及尼罗河三角洲西El Manzala地区Abu Madi油藏岩石分型与储层质量分析:基于人工神经网络的分布预测
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-02 DOI: 10.1007/s13369-023-08403-6
Khaled Gamal Elmaadawy, Mohamed Mahmoud Abu El Hassan, Ahmed Mashhout Sallam
Abstract In the Nile Delta gas province of Egypt, the Abu Madi Formation is the most promising sandstone gas reservoir. This study aimed to investigate reservoir rock typing and quality by integrating petrophysical and petrographical data, including well logs, image logs, and cores. Furthermore, it sought to predict the permeability and reservoir quality of uncored wells by integrating artificial neural network technique with core analysis data and evaluate the effectiveness of this approach as an exploration tool in the West El Manzala area. The core petrography revealed the presence of microfacies consisting of arenites and wackes. The measured porosity, permeability, and pore sizes obtained from the cores, along with the parameters of the reservoir quality index, normalized porosity, and flow zone indicator, indicated that the Abu Madi reservoirs could be subdivided into three categories based on reservoir quality. High reservoir quality (RT-I) is characterized by megapores within the hydraulic flow unit (HFU-1) associated with bioturbated coarse to gravelly sandstone facies. Moderate reservoir quality (RT-II) is characterized by macropores within the hydraulic flow unit (HFU)-II associated with massive coarse to gravelly sandstone facies. Poor reservoir quality (RT-III) was characterized by mesopores within the HFU-III hydraulic flow unit related to laminated silty mudstone facies. The findings of this study demonstrate that the combination of reservoir rock typing and artificial neural networks is an extremely successful method for petroleum exploration in the West El Manzala region.
在埃及的尼罗河三角洲天然气省,Abu Madi组是最有潜力的砂岩气藏。该研究旨在通过综合岩石物理和岩石学数据(包括测井、图像测井和岩心)来研究储层岩石类型和质量。此外,通过将人工神经网络技术与岩心分析数据相结合,试图预测未取心井的渗透率和储层质量,并评估该方法作为West El Manzala地区勘探工具的有效性。岩心岩石学显示存在由砂质岩和碎屑岩组成的微相。通过岩心孔隙度、渗透率和孔径测量,结合储层质量指数、归一化孔隙度和流区指标,将Abu Madi储层按储层质量划分为3类。高储层质量(RT-I)以水力流动单元(HFU-1)内的巨孔为特征,并伴有生物扰动的粗砂砂岩相。中等储层质量(RT-II)以水力流动单元(HFU -II)内的大孔隙为特征,并伴有块状粗砂砂岩相。储层质量差(RT-III)的特征是与层状粉砂质泥岩相相关的HFU-III水力流动单元中存在介孔。研究结果表明,储层岩石分型与人工神经网络相结合是西El Manzala地区油气勘探的一种非常成功的方法。
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引用次数: 0
Deep Learning-Based Multi-Sensor Fusion for Process Monitoring: Application to Fused Deposition Modeling 基于深度学习的多传感器融合过程监测:在熔融沉积建模中的应用
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-02 DOI: 10.1007/s13369-023-08340-4
Ahmed Shany Khusheef, Mohammad Shahbazi, Ramin Hashemi
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引用次数: 0
Design and Performance Assessment of a Novel Poly-generation System with Stable Production of Electricity, Hydrogen, and Hot Water: Energy and Exergy Analyses 一种新型电、氢、热水稳定联产系统的设计与性能评估:能源与用能分析
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-01 DOI: 10.1007/s13369-023-08410-7
Mir Majid Etghani, Homayoun Boodaghi
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引用次数: 0
Vehicle Classification Using Deep Learning-Assisted Triboelectric Sensor 基于深度学习辅助摩擦电传感器的车辆分类
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-01 DOI: 10.1007/s13369-023-08394-4
Seval Kinden, Zeynep Batmaz
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引用次数: 0
Effect of Block Size on Bearing Strength of Steel Fiber-Reinforced Recycled Aggregate Concrete 砌块尺寸对钢纤维再生骨料混凝土承载强度的影响
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-01 DOI: 10.1007/s13369-023-08344-0
Sabry Fayed, Emrah Madenci, Yasin Onuralp Özkiliç, Taher A. Tawfik
Abstract For the safe transmission of loads to concrete supports, such as column-foundations, corbels, bridge pedestals, post-tension members, support anchorages, and other forms of superstructure supports, the concrete bearing strength is considered an essential design parameter. The usage of recycled aggregate within concrete is considered environmentally friendly since it diverts rubbish from bulldozing and preserves natural resources. End-hooked steel fibre is an almost substantial enhancer for recycled aggregate concrete characteristics. Never before has the bearing behavior of recycled aggregate concrete been evaluated. Thus, this study provides an experimental evaluation of the bearing strength of steel fiber-reinforced recycled aggregate concrete at different replacement levels (0, 10, 20, 30, 50, and 100%) of recycled concrete aggregate (RCA). The used fraction quantities of steel fiber were 0.5%, 1.5%, and 2%. Three sizes of blocks were manufactured (100 × 100 × 100 mm, 150 × 150 × 150 mm, and 250 × 250 × 250 mm). The ratio of concrete block area to bearing area (A2/A1) was kept constant at 2.5 for all three block sizes. The primary purpose of this research was to examine the impact of block size on bearing stiffness, ultimate slip, and ultimate bearing strength. The findings demonstrated that the bearing stiffness and bearing strength reduced as the block size increased. To assess the ultimate bearing stiffness/strength and normalised ultimate bearing slip, analytical models were employed to develop new proposed equations that unaccounted for the impact of compressive strength, RCA, reinforcing index of steel fibre, and block size. In addition, this research led to the creation of a modified ACI 318 formula that accurately forecasts the bearing strength of concrete depending on block size.
摘要为了将荷载安全传递到混凝土支架上,如柱基础、吊索、桥梁基座、后张构件、支撑锚固以及其他形式的上层建筑支撑,混凝土的承载强度被认为是一个必不可少的设计参数。在混凝土中使用再生骨料被认为是环保的,因为它转移了推土机的垃圾,并保护了自然资源。端钩钢纤维几乎是再生骨料混凝土特性的实质性增强剂。以前从未对再生骨料混凝土的承载性能进行过评价。因此,本研究对再生混凝土骨料(RCA)在不同替代水平(0、10、20、30、50和100%)下钢纤维增强再生骨料混凝土的承载强度进行了实验评估。钢纤维的用量分别为0.5%、1.5%和2%。制作了100 × 100 × 100 mm、150 × 150 × 150 mm、250 × 250 × 250 mm三种尺寸的砌块。混凝土砌块面积与承载面积之比(A2/A1)在三种砌块尺寸下均保持2.5不变。本研究的主要目的是研究砌块尺寸对承载刚度、极限滑移和极限承载强度的影响。结果表明,随着砌块尺寸的增大,承载刚度和承载强度减小。为了评估极限承载刚度/强度和归一化极限承载滑移,采用分析模型来开发新的提议方程,该方程未考虑抗压强度、RCA、钢纤维增强指数和块体尺寸的影响。此外,这项研究还导致了改进的ACI 318公式的创建,该公式可以根据块尺寸准确预测混凝土的承载强度。
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引用次数: 0
Use of Sacrificial Anodes as Protection of Galvanized Steel Exposed to Potassium Chloride and Urea Fertigation Solutions 牺牲阳极在氯化钾和尿素溶液中保护镀锌钢的应用
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-01 DOI: 10.1007/s13369-023-08412-5
Karina Vilela Rodrigues, Luiz Antonio Lima, Michael Silveira Thebaldi
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引用次数: 0
MIMO NOMA with Nonlinear Energy Harvesting and Imperfect Channel Information 非线性能量收集和不完全信道信息的MIMO NOMA
4区 综合性期刊 Q1 Multidisciplinary Pub Date : 2023-11-01 DOI: 10.1007/s13369-023-08401-8
Toi Le-Thanh, Khuong Ho-Van
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引用次数: 0
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Arabian Journal for Science and Engineering
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