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Influence of Various Earth-Retaining Walls on the Dynamic Response Comparison Based on 3D Modeling

Computer Modeling in Engineering & Sciences 2024年第6期139卷 2835-2863页

作者： Muhammad Akbar Huali Pan Jiangcheng Huang bilal ahmed Guoqiang Ou Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu610000China Institute of International Rivers and Eco-Security Yunnan UniversityKunming650500China Department of Structural Engineering Faculty of Civil EngineeringDoctoral SchoolAkademicka 2Silesian University of TechnologyGliwice44-100Poland

The present work aims to assess earthquake-induced earth-retaining(ER)wall *** study is on the dynamics analysis of various earth-retaining wall designs in hollow precast concrete panels,reinforcement concrete facing panels,and gravity-type earth-retaining *** finite element(FE)simulations utilized a 3D plane strain condition to model full-scale ER walls and numerous nonlinear dynamics *** seismic performance of differentmodels,which includes reinforcement concrete panels and gravity-type and hollowprecast concrete ER walls,was simulated and examined using the FE *** also displays comparative studies such as stress distribution,deflection of the wall,acceleration across the wall height,lateral wall displacement,lateral wall pressure,and backfill plastic *** components of the created ER walls were found throughout this research *** is a granular reinforcement backfill,while the other is a wall-facing panel and base *** dynamic response effects of varied earth-retaining walls have also been *** was discovered that the facing panel of the model significantly impacts the earthquake-induced displacement of ER *** proposed analytical model’s validity has been evaluated and compared with the reinforcement concrete facing panels,gravity-type ER wall,scientifically available data,and American Association of State Highway and Transportation Officials(AASHTO)guidelines results based on FE *** results of the observations indicate that the hollow prefabricated concrete ER wall is the most feasible option due to its lower displacement and high-stress distribution compared to the two *** methodology and results of this study establish standards for future analogous investigations and professionals,particularly in light of the increasing computational capabilities of desktop computers.

关键词： Seismic analysis finite element modeling earth-retaining ER walls dynamic response structural resilience

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A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition

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Computers, Materials & Continua 2022年第11期73卷 2555-2576页

作者： Muhammad Naeem Akbar Farhan Riaz ahmed bilal Awan Muhammad Attique Khan Usman Tariq Saad Rehman National University of Sciences and Technology(NUST) Islamabad46000Pakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Science Prince Sattam Bin Abdulaziz UniversityAl-Kharaj 11942Saudi Arabia

Human Action Recognition(HAR)is a current research topic in the field of computer vision that is based on an important application known as video *** in computer vision have introduced various intelligent methods based on deep learning and machine learning,but they still face many challenges such as similarity in various actions and redundant *** proposed a framework for accurate human action recognition(HAR)based on deep learning and an improved features optimization algorithm in this *** deep learning feature extraction to feature classification,the proposed framework includes several critical *** training fine-tuned deep learning models–MobileNet-V2 and Darknet53–the original video frames are *** feature extraction,pre-trained deep models are used,which are fused using the canonical correlation *** that,an improved particle swarm optimization(IPSO)-based algorithm is used to select the best *** that,the selected features were used to classify actions using various *** experimental process was performed on six publicly available datasets such as KTH,UT-Interaction,UCF Sports,Hollywood,IXMAS,and UCF YouTube,which attained an accuracy of 98.3%,98.9%,99.8%,99.6%,98.6%,and 100%,*** comparison with existing techniques,it is observed that the proposed framework achieved improved accuracy.

关键词： Action recognition deep learning features fusion features selection recognition

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Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2163-2192页

作者： Ali S.Alghamdi Mohana Alanazi Abdulaziz Alanazi Yazeed Qasaymeh Muhammad Zubair ahmed bilal Awan M.G.B.Ashiq Department of Electrical Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySakaka72341Saudi Arabia Department of Electrical Engineering College of EngineeringNorthern Border UniversityAr’Ar73222Saudi Arabia Automation and Control Department College of Engineering TechnologyUniversity of Doha for Science and TechnologyDoha24449Qatar Department of Electrical and Computer Engineering College of Engineering and Information TechnologyAjman UniversityAjman20550United Arab Emirates Department of Physics College of ScienceImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and wind resources,has been carried *** has been done using a new meta-heuristic algorithm,improved artificial rabbits optimization(IARO).In this study,the uncertainty of solar and wind energy sources is modeled using Hang’s two-point estimating method(TPEM).The IARO algorithm is applied to calculate the best capacity of hub energy equipment,such as solar and wind renewable energy sources,combined heat and power(CHP)systems,steamboilers,energy storage,and electric cars in the *** standard ARO algorithmis developed to mimic the foraging behavior of rabbits,and in this work,the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight *** proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO,particle swarm optimization(PSO),and salp swarm algorithm(SSA).The findings show that,in comparison to previous approaches,the suggested meta-heuristic scheduling framework based on the IARO has increased energy profit in day-ahead electricity,gas,and heating markets by satisfying the operational and energy hub ***,the results show that TPEM approach dependability consideration decreased hub energy’s profit by 8.995%as compared to deterministic planning.

关键词： Stochastic energy hub scheduling energy profit uncertainty Hong’s two-point estimate method improved artificial rabbits optimization

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General election effect on the network topology of Pakistan’s stock market: network-based study of a political event

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Financial Innovation 2020年第1期6卷 42-55页

作者： bilal ahmed Memon Hongxing Yao Rabia Tahir School of Finance and Economics Jiangsu University01 Xuefu RoadZhenjiang 212013JiangsuChina School of Computer Science Jiangsu universityZhenjiang 212013China

To examine the interdependency and evolution of Pakistan’s stock market,we consider the cross-correlation coefficients of daily stock returns belonging to the blue chip Karachi stock exchange(KSE-100)*** the minimum spanning tree network-based method,we extend the financial network literature by examining the topological properties of the network and generating six minimum spanning tree networks around three general elections in *** results reveal a star-like structure after the general elections of 2018 and before those in 2008,and a tree-like structure *** also highlight key nodes,the presence of different clusters,and compare the differences between the three ***,the sectorial centrality measures reveal economic expansion in three industrial sectors—cement,oil and gas,and ***,a strong overall intermediary role of the fertilizer sector is *** results indicate a structural change in the stock market network due to general ***,through this analysis,policy makers can focus on monitoring key nodes around general elections to estimate stock market stability,while local and international investors can form optimal diversification strategies.

关键词： Minimum spanning tree Centrality measures General elections Emerging market Pakistan Stock market network

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Near Field Radiative Heat Transfer between Parallel Plates with Flat and Rough Surfaces

Near Field Radiative Heat Transfer between Parallel Plates w...

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作者： bilal ahmed 哈尔滨工业大学

学位级别：硕士

当高温和低温热源的间距小于热辐射特征波长时,辐射换热特性发生很大变化,此时电磁波的干涉效应和光子隧穿效应尤为显著。经典的宏观辐射传输理论基于几何光学,忽略了光的干涉效应。目前的研究结果表明,间距为纳米尺度的辐射换热量比斯... 详细信息

当高温和低温热源的间距小于热辐射特征波长时,辐射换热特性发生很大变化,此时电磁波的干涉效应和光子隧穿效应尤为显著。经典的宏观辐射传输理论基于几何光学,忽略了光的干涉效应。目前的研究结果表明,间距为纳米尺度的辐射换热量比斯忒潘·玻尔兹曼定律的预测值高出约5个数量级。本文结合有效介质理论,分析了具有梯度折射率的各向异性多层平行平板结构的近场辐射换热。利用此方法,本文以碳化硅、二氧化硅和铝为对象,分析了不同结构(如平面-粗糙表面、粗糙表面-粗糙表面)的近场辐射换热,并与平行平板结构作对比。以涨落耗散理论为基础,结合麦克斯韦方程组和并矢格林函数,近场辐射换热热流得以求解。借助各平板的表面导纳,可以求解每个交界面上的s偏振和p偏振的反射系数和折射系数。为了验证计算结果的准确性,本文对各向异性多层介质间的近场热流作了收敛性检验。研究结果表明,由于粗糙效应的影响,碳化硅和二氧化硅粗糙表面间的近场换热得到加强,而铝粗糙表面的近场换热被微弱抑制。除粗糙表面平行平板结构之外,本文还计算了粗糙表面-平板之间的近场换热。研究发现,二氧化硅粗糙表面-平板结构的近场换热略强于粗糙表面之间。在此种情形下,同样由于粗糙效应,宽频域内的频谱热流增大。近场热辐射是提高能量收集设备(如热光伏设备)能量转换效率和输出功率的最有潜力的方式之一。通过有效的控制,使辐射换热支配能量传输过程,这可以提高其他材料的能量传输效率。同时,也可以用于热整流、热晶体管、辐射制冷等众多领域。

关键词：近场辐射平行板各向异性多层结构梯度折射率分布有效介质理论粗糙表面

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Heterosis and Inbreeding Depression in F<sub>2</sub>Populations of Upland Cotton (<i>Gossypium hirsutum</i>L.)

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Agricultural Sciences 2017年第11期8卷 1283-1295页

作者： bilal ahmed Khan Naqib Ullah Khan Mehboob ahmed Mazhar Iqbal Ihsan Ullah Maria Saleem Isma Khurshid Aneela Kanwal Hazara Agriculture Research Station Abbottabad Pakistan University of Agriculture Peshawar Peshawar Pakistan

Hybrid cotton production through exploitation of heterosis is the only way for having vertical improvement and betterment in seed cotton yield which has been stagnated in the recent years. The current study was conducted to evaluate the performance of F2 population for studying mean performance, heterotic effects and inbreeding depression in upland cotton for polygenic traits. Parental genotypes and their F2s were sown at Khyber Pakhtunkhwa Agricultural University, Peshawar during 2010, manually. All the traits revealed highly significant (p ≤ 0.01) variations for both parents and their F2 hybrids. Mean performance for parents and their F2 hybrids is: (5.26 to 7.12 & 4.43 to 6.60) seeds locule-1, (21.10 to 28.03 & 20.40 to 28.50) seed boll-1, (32.20 to 34.80 & 32.22 to 35.05) lint% and (62.87 to 85.47 & 45.94 to 92.04) seed cotton yield plant-1, respectively. Heterotic effects found over mid parent and better parent were: 66.66% & 46.66% (seeds locule-1), 60% & 30% (seed boll-1), 43.33% & 30% (lint %) and 36.66% & 16.66% (seed cotton yield plant-1), respectively. For the parameters: seeds locule-1 (11 & 10), seeds boll-1 (2 & 1) and seed cotton yield plant-1 (3 & 1) showed positive highly significant heterosis for both mid and better parent, respectively while lint% did not reveal any positive significant heterosis. F2 populations i.e. CIM-499 × CIM-554 and CIM-554 × CIM-499 revealed highly significant heterotic effects over mid and better parent for all the traits except lint % while CIM-554 × CIM-707 showed highly significant heterotic effects for seeds locule-1 and seed cotton yield palnt-1. Positive economic heterotic effects were also exhibited by more than 50% of the F2 population i.e., 76.66% for seed locule-1, 50% for seeds boll-1, 3.33% for lint% and 20% for seed cotton yield plant-1, respectively. By comparing F2 mean values with F1s, only lint % showed (0.00% to 15.55%) maximum inbreeding depression while negligible amount of inbreeding depression was obs

关键词： Heterosis Inbreeding Depression Lint F2

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洪灾的影响与政府组织的作用：巴基斯坦的案例研究

洪灾的影响与政府组织的作用：巴基斯坦的案例研究

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作者：白畅（bilal ahmed）华中科技大学

学位级别：硕士

洪水是巴基斯坦最常见的自然灾害。几乎每隔一年，来袭的洪水都会极大损害基础设施，并造成数百人的伤亡。在巴基斯坦，已经有数千人在洪水中丧生。在巴基斯坦，政府对洪水的管理是一个十分具有争议的问题。但是关于机构在遭遇洪水... 详细信息

洪水是巴基斯坦最常见的自然灾害。几乎每隔一年，来袭的洪水都会极大损害基础设施，并造成数百人的伤亡。在巴基斯坦，已经有数千人在洪水中丧生。在巴基斯坦，政府对洪水的管理是一个十分具有争议的问题。但是关于机构在遭遇洪水时如何进行应对的研究还存在不足。本研究探索在洪水灾害中巴基斯坦这个国家作为一个整体以及该国国民作为个人所面临的挑战。巴基斯坦经历过一场不同寻常的水灾害，在应对的过程中，国家薄弱的经济实力以及迟缓的应对行为难以有效遏制洪水的威胁。在洪水管理行动规划中，提供了受水灾害影响的相关社区综合信息。本研究梳理了在2011年水灾中信德省遭遇的危机，调查了针对此次水灾的洪水管理，以及国家范围内与洪水管理相关的各公共组织的职责。最后，本研究提出了一些旨在减少类似灾害以及缓解灾害影响的相关建议。

关键词：洪灾洪水管理 FFC与NDMA

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Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm

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Advances in Bioscience and Biotechnology 2014年第11期5卷 886-894页

作者： Muhammad Umer bilal ahmed Bhatti Muhammad Hammad Tariq Muhammad Zia-ul-Hassan Muhammad Yaqub Khan Tahir Zaidi Center for Advanced Research in Engineering (CARE) Islamabad Pakistan

This paper presents a Novel Windowing Algorithm for Electrocardiogram Feature Extraction and Pattern Recognition. The work presented here deals with a simple and efficient way of detecting ECG features that are P, Q, R, S and T waves. Windowing method is used to select these waves. Windows are based on varying R-R intervals. It has been tested on ECG simulator data and also on different records of the MIT-BIH arrhythmia database, producing satisfactory results. ECG timing intervals are also required for monitoring the cardiac condition of patients. Hence after feature detections ECG timing intervals like the PR interval, QRS duration, the QT interval, the QT corrected interval and Vent Rate are efficiently calculated using proposed Formulae.

关键词： Electrocardiogram PLI Windowing Arrhythmia Intervals Cardiac PQRST

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基于马田系统的化合物生物降解性QSBR的研究(英文)

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计算机与应用化学 2015年第2期32卷 139-143页

作者：卓小伍程龙生 bilal ahmed Khan 南京理工大学经济管理学院江苏南京210094

生物降解性是影响化合物毒性和最终命运的重要参数,定量结构与生物降解性关系的研究尝试使用回归和分类的方法对其可降解性进行定量预测。马田系统是一种新的分类和模式识别技术,该方法使用正交表和信噪比筛选关键变量,将马氏距离作为... 详细信息

生物降解性是影响化合物毒性和最终命运的重要参数,定量结构与生物降解性关系的研究尝试使用回归和分类的方法对其可降解性进行定量预测。马田系统是一种新的分类和模式识别技术,该方法使用正交表和信噪比筛选关键变量,将马氏距离作为度量尺度以判定其类别归属。为验证马田系统在QSBR研究中的效果并与其他方法相比较,共搜集743个化合物试验数据进行实例研究,结果表明基于马田系统的QSBR研究:分类的准确率更高;系统的约简了分子变量并保持分类的稳健性,马田系统将变量数从34个逐步约简到7个,错误率波动较小。

关键词： QSBR 机器学习马田系统分类生物降解性

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Countrywide Survey for MERS-Coronavirus Antibodies in Dromedaries and Humans in Pakistan

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Virologica Sinica 2018年第5期33卷 410-417页

作者： Ali Zohaib Muhammad Saqib Muhammad Ammar Athar Jing Chen Awais-ur-Rahman Sial Saeed Khan Zeeshan Taj Halima Sadia Usman Tahir Muhammad Haleem Tayyab Muhammad Asif Qureshi Muhammad Khalid Mansoor Muhammad Ahsan Naeem Bing-Jie Hu bilal ahmed Khan Ikram Din Ujjan Bei Li Wei Zhang Yun Luo Yan Zhu Cecilia Waruhiu Iahtasham Khan Xing-Lou Yang Muhammad Sohail Sajid Victor Max Corman Bing Yan Zheng-Li Shi CAS Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyChinese Academy of SciencesWuhan 430071China University of Ctunese Academy of Sciences Beijing 100049China Faculty of Veterinary Medicine University of AgricultureFaisalabad 38040Pakistan Laboratory of Cancer Biomarkers and Liquid Biopsy College of PharmacyHenan UniversityHenan 475004China Department of Clinical Studies Faculty of Veterinary and Animal SciencesPMAS-Arid Agriculture UniversityRawalpindi 46000Pakistan Dow University of Health Science Pakistan Karachi 74200 Department of Microbiology Government College University FaisalabadFaisalabad 38000Pakistan Livestock and Dairy Development Department(L&DD) Lahore 54000Pakistan College of Veterinary and Animal Sciences The Islamia University of BahawalpurBahawalpur 63100Pakistan State Key Laboratory of Agricultural Mlcroblology Huazhong Agricultural UniversityWuhan 430070China Liaqat University of Medical and Health Science Pakistan Jamshoro 76090 Section of Epidemiology and Public Health Department of Chnical SciencesUniversity of Veterinary and Animal SciencesLahore subcampusJhang 35200Pakistan Institute of Virology Chadte-Universitatsmedizin BerlinCorporate member of Free UniversityHumboldt-University and Berlin Institute of HealthBerlin 10117Germany German Center for Infection Research(DZIF) Berlin 10117Germany

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a zoonotic pathogen capable of causing severe respiratory disease in humans. Although dromedary camels are considered as a major reservoir host, the MERS-CoV infection dynamics in camels are not fully understood. Through surveillance in Pakistan, nasal (n = 776) and serum (n = 1050)samples were collected from camels between November 2015 and February 2018. Samples were collected from animal markets, free-roaming herds and abattoirs. An in-house ELISA was developed to detect IgG against MERS-CoV. A total of 794 camels were found seropositive for MERS-CoV. Prevalence increased with the age and the highest seroprevalence was recorded in camels aged [ 10 years (81.37%) followed by those aged 3.1–10 years (78.65%) and B 3 years (58.19%).Higher prevalence was observed in female (78.13%) as compared to male (70.70%). Of the camel nasal swabs, 22 were found to be positive by RT-qPCR though with high Ct values. Moreover, 2,409 human serum samples were also collected from four provinces of Pakistan during 2016–2017. Among the sampled population, 840 humans were camel *** we found a high rate of MERS-CoV antibody positive dromedaries (75.62%) in Pakistan, no neutralizing antibodies were detected in humans with and without contact to camels.

关键词： Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Camel -Human Pakistan

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