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Smart prediction of liquefaction-induced lateral spreading

Journal of Rock Mechanics and Geotechnical Engineering 2024年第6期16卷 2310-2325页

作者： muhammad nouman amjad ra.a.tarek abdoun Waleed El-Sekelly New York University(NYU)Abu Dhabi Abu Dhabi129188United Arab Emirates University of Management and Technology Lahore54372Pakistan Department of Civil and Environmental Eng. Rensselaer Polytechnic Institute(RPI)1108th StreetJEC 4049TroyNY12180USA Department of Structural Engineering Mansoura UniversityMansoura35516Egypt

The prediction of liquefaction-induced lateral spreading/displacement(Dh)is a challenging task for civil/geotechnical *** this study,a new approach is proposed to predict Dh using gene expression programming(GEP).Based on statistical reasoning,individual models were developed for two topographies:free-face and gently sloping *** with a comparison with conventional approaches for predicting the Dh,four additional regression-based soft computing models,*** process regression(GPR),relevance vector machine(RVM),sequential minimal optimization regression(SMOR),and M5-tree,were developed and compared with the GEP *** results indicate that the GEP models predict Dh with less bias,as evidenced by the root mean square error(RMSE)and mean absolute error(MAE)for training(i.e.1.092 and 0.815;and 0.643 and 0.526)and for testing(i.e.0.89 and 0.705;and 0.773 and 0.573)in free-face and gently sloping ground topographies,*** overall performance for the free-face topology was ranked as follows:GEP>RVM>M5-tree>GPR>SMOR,with a total score of 40,32,24,15,and 10,*** the gently sloping condition,the performance was ranked as follows:GEP>RVM>GPR>M5-tree>SMOR with a total score of 40,32,21,19,and 8,***,the results of the sensitivity analysis showed that for both free-face and gently sloping ground,the liquefiable layer thickness(T_(15))was the major parameter with percentage deterioration(%D)value of 99.15 and 90.72,respectively.

关键词： Lateral spreading Intelligent modeling Gene expression programming(GEP) Closed-form solution Feature importance

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Towards a lightweight security framework using blockchain and machine learning

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BLOCKCHAIN-RESEARCH AND APPLICATIONS 2024年第1期5卷 107-118页

作者： Ismail, Shereen nouman, muhammad Dawoud, Diana W. Reza, Hassan Univ North Dakota Sch Elect Engn & Comp Sci Grand Forks ND 58202 USA COMSATS Univ Islamabad Dept Comp Sci Islamabad 44000 Pakistan Univ Dubai Coll Engn & Informat Technol Dubai U Arab Emirates

Cyber-attacks pose a significant challenge to the security of Internet of Things (IoT) sensor networks, necessitating the development of robust countermeasures tailored to their unique characteristics and limitations. Various prevention and detection techniques have been proposed to mitigate these attacks. In this paper, we propose an integrated security framework using blockchain and Machine Learning (ML) to protect IoT sensor networks. The framework consists of two modules: a blockchain prevention module and an ML detection module. The blockchain prevention module has two lightweight mechanisms: identity management and trust management. Identity management employs a lightweight Smart Contract (SC) to manage node registration and authentication, ensuring that unauthorized entities are prohibited from engaging in any tasks, while trust management uses a lightweight SC that is responsible for maintaining trust and credibility between sensor nodes throughout the network's lifetime and tracking historical node behaviors. Consensus and transaction validation are achieved through a Verifiable Byzantine Fault Tolerance (VBFT) mechanism to ensure network reliability and integrity. The ML detection module utilizes the Light Gradient Boosting Machine (LightGBM) algorithm to classify malicious nodes and notify the blockchain network if it must make decisions to mitigate their impacts. We investigate the performance of several off -the -shelf ML algorithms, including Logistic Regression, Complement Naive Bayes, Nearest Centroid, and Stacking, using the WSN-DS dataset. LightGBM is selected following a detailed comparative analysis conducted using accuracy, precision, recall, F1 -score, processing time, training time, prediction time, computational complexity, and Matthews Correlation Coefficient (MCC) evaluation metrics.

关键词： Blockchain Machine learning IoT Security Integration Smart contracts

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Classification and progress of extraction technologies for nonferrous metal resources

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Science China Chemistry 2024年

作者： Fangqin Cheng Na Zhou Nazeer muhammad nouman Li Cui Caixia Yin Institute of Resources and Environmental Engineering State Environmental Protection Key Laboratory of Efficient Utilization of Coal Waste Resources Shanxi University Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Molecular ScienceShanxi University

In recent years, the demand for strategic metal resources, essential for scientific and technological progress and industrial development, has multiplied. Ensuring a stable supply of these metals is critical to national security and the well-being of the population. As global industrialization accelerates, the daily demand for nonferrous metals continues to rise. Consequently,extracting and recovering strategic metals from low-grade raw materials, such as solid waste, has become crucial for maintaining their supply and economic development. However, the extraction process is fraught with challenges, including mineral phase stability and complex composition. This review focuses on key strategic metals such as lithium, aluminum, gallium, and vanadium. It introduces and examines various methods for extracting nonferrous metals from different raw materials, including traditional mining technologies applied to low-grade solid wastes. It also outlines future development opportunities and challenges in this field.

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Experimental study on repeatedly loaded foundation soil strengthened by wraparound geosynthetic reinforcement technique

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第4期13卷 899-911页

作者： muhammad nouman amjad raja Sanjay Kumar Shukla Geotechnical and Geoenvironmental Engineering Research Group School of EngineeringEdith Cowan UniversityJoondalupPerthWA 6027Australia Department of Civil Engineering School of EngineeringUniversity of Management and TechnologyLahorePakistan Civil Engineering Department Delhi Technological UniversityDelhiIndia

In the recent past,the potential benefits of wraparound geosynthetic reinforcement technique for constructing the reinforced soil foundations have been *** paper presents the experimental study on the behaviour of model strip footing resting on sandy soil bed reinforced with geosynthetic in wraparound and planar forms under monotonic and repeated *** geosynthetic layers were laid according to the reinforcement ratio to minimise the scale *** is found that for the same amount of reinforcement material,the wraparound reinforced model resulted in less settlement in comparison to planar reinforced *** efficiency of wraparound reinforced model increased with the increase in load amplitude and the rate of total cumulative settlement substantially decreased with the increase in number of load *** wraparound reinforced model has shown about 45% lower average total settlement in comparison to unreinforced model,while the double-layer reinforced model has about 41% lower average total settlement at the cost of approximately twice the material and 1.5 times the occupied land width ***,wraparound models have shown much greater stability in comparison to their counterpart models when subjected to incremental repeated loading.

关键词： Geosynthetics Repeated loads Wraparound reinforcement technique Model tests Footing settlement Bearing capacity Reinforcement ratio Strip footing

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Intrusion Detection Based on Bidirectional Long Short-Term Memory with Attention Mechanism

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Computers, Materials & Continua 2023年第1期74卷 801-815页

作者： Yongjie Yang Shanshan Tu raja Hashim Ali Hisham Alasmary muhammad Waqas muhammad nouman amjad Engineering Research Center of Intelligent Perception and Autonomous Control Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Faculty of Computer Science and Engineering GIK Institute of Engineering Sciences and TechnologyTopi23460Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Information Security and Cybersecurity Unit King Khalid UniversityAbhaSaudi Arabia Computer Engineering Department College of Information TechnologyUniversity of Bahrain32038Bahrain School of Engineering Edith Cowan UniversityJoondalup PerthWA6027Australia School of Engineering University of Management and TechnologyLahorePakistan

With the recent developments in the Internet of Things(IoT),the amount of data collected has expanded tremendously,resulting in a higher demand for data storage,computational capacity,and real-time processing *** computing has traditionally played an important role in establishing ***,fog computing has recently emerged as a new field complementing cloud computing due to its enhanced mobility,location awareness,heterogeneity,scalability,low latency,and geographic ***,IoT networks are vulnerable to unwanted assaults because of their open and shared *** a result,various fog computing-based security models that protect IoT networks have been developed.A distributed architecture based on an intrusion detection system(IDS)ensures that a dynamic,scalable IoT environment with the ability to disperse centralized tasks to local fog nodes and which successfully detects advanced malicious threats is *** this study,we examined the time-related aspects of network traffic *** presented an intrusion detection model based on a twolayered bidirectional long short-term memory(Bi-LSTM)with an attention mechanism for traffic data classification verified on the UNSW-NB15 benchmark *** showed that the suggested model outperformed numerous leading-edge Network IDS that used machine learning models in terms of accuracy,precision,recall and F1 score.

关键词： Fog computing intrusion detection bi-LSTM attention mechanism

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Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第3期15卷 773-788页

作者： muhammad nouman amjad raja Syed Taseer Abbas Jaffar Abidhan Bardhan Sanjay Kumar Shukla Department of Civil Engineering School of EngineeringUniversity of Management and TechnologyLahorePakistan Department of Civil Engineering National Institute of Technology(NIT)PatnaPatnaBihar800005India Geotechnical and Geoenvironmental Research Group School of EngineeringEdith Cowan UniversityJoondalupPerthAustralia Department of Civil Engineering Delhi Technological UniversityDelhiIndia

Settlement prediction of geosynthetic-reinforced soil(GRS)abutments under service loading conditions is an arduous and challenging task for practicing geotechnical/civil ***,in this paper,a novel hybrid artificial intelligence(AI)-based model was developed by the combination of artificial neural network(ANN)and Harris hawks’optimisation(HHO),that is,ANN-HHO,to predict the settlement of the GRS *** other robust intelligent models such as support vector regression(SVR),Gaussian process regression(GPR),relevance vector machine(RVM),sequential minimal optimisation regression(SMOR),and least-median square regression(LMSR)were constructed and compared to the ANN-HHO *** predictive strength,relalibility and robustness of the model were evaluated based on rigorous statistical testing,ranking criteria,multi-criteria approach,uncertainity analysis and sensitivity analysis(SA).Moreover,the predictive veracity of the model was also substantiated against several large-scale independent experimental studies on GRS abutments reported in the scientific *** acquired findings demonstrated that the ANN-HHO model predicted the settlement of GRS abutments with reasonable accuracy and yielded superior performance in comparison to counterpart ***,it becomes one of predictive tools employed by geotechnical/civil engineers in preliminary decision-making when investigating the in-service performance of GRS ***,the model has been converted into a simple mathematical formulation for easy hand calculations,and it is proved cost-effective and less time-consuming in comparison to experimental tests and numerical simulations.

关键词： Geosynthetic-reinforced soil(GRS) abutments Settlement estimation Predictive modeling Artificial intelligence(AI) Artificial neural network(ANN)-Harris hawks’optimisation(HHO)

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Numerical investigation for the suitable choice of bubble diameter correlation for EMMS/bubbling drag model

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Chinese Journal of Chemical Engineering 2022年第7期35卷 254-270页

作者： nouman Ahmad Jianqiang Deng muhammad Adnan Shaanxi Key Laboratory of Energy Chemical Process Intensification Xi’an 710049China School of Chemical Engineering and Technology Xi’an Jiaotong UniversityXi’an 710049China

Mesoscale bubbles exist inherently in bubbling fluidized beds and hence should be considered in the constitutive modeling of the drag *** energy minimization multiscale bubbling(EMMS/bubbling)drag model takes the effects of mesoscale structures(i.e.,bubbles)into the modeling of drag coefficient and thus improves the coarse-grid simulation of bubbling and turbulent fluidized ***,its dependence on the bubble diameter correlation has not been thoroughly *** hydrodynamic disparity between homogeneous and heterogeneous fluidization is accounted for by the heterogeneity index,H_(d),which can be affected by choice of bubble diameter *** this choice of bubble diameter correlation influences the model prediction calls for further fundamental *** article incorporated seven different bubble diameter correlations into EMMS/bubbling drag model and studied their effects on H_(d).The performance of these correlations has been compared with the correlation used previously by EMMS/bubbling drag *** found that some of the correlations predicted lower Hd by order of a magnitude than the correlation used by the original EMMS/bubbling *** on such analysis,we proposed a modification in the EMMS drag model for bubbling and turbulent fluidized beds.A computational fluid dynamics(CFD)simulation using two-fluid model with the modified EMMS/bubbling drag model was performed for two bubbling and one turbulent fluidized *** distribution,time averaged solid concentration and axial solid concentration profiles were studied and compared with the previous version of the EMMS/bubbling drag model and experimental *** found that the right choice of bubble diameter correlations can significantly improve the results for CFD simulations.

关键词： Mesoscale Bubbles Energy minimization multiscale(EMMS) Heterogeneity index Bubbling fluidized bed

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Gastrointestinal Diseases Classification Using Deep Transfer Learning and Features Optimization

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Computers, Materials & Continua 2023年第4期75卷 2227-2245页

作者： Mousa Alhajlah muhammad nouman Noor muhammad Nazir Awais Mahmood Imran Ashraf Tehmina Karamat College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Engineering HITEC UniversityTaxila47080Pakistan Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan

Gastrointestinal diseases like ulcers, polyps’, and bleeding areincreasing rapidly in the world over the last decade. On average 0.7 millioncases are reported worldwide every year. The main cause of gastrointestinaldiseases is a Helicobacter Pylori (H. Pylori) bacterium that presents in morethan 50% of people around the globe. Many researchers have proposeddifferent methods for gastrointestinal disease using computer vision *** of them focused on the detection process and the rest of themperformed classification. The major challenges that they faced are the similarityof infected and healthy regions that misleads the correct classificationaccuracy. In this work, we proposed a technique based on Mask Recurrent-Convolutional Neural Network (R-CNN) and fine-tuned pre-trainedResNet-50 and ResNet-152 networks for feature extraction. Initially, the region ofinterest is detected using Mask R-CNN which is later utilized for the trainingof fine-tuned models through transfer learning. Features are extracted fromfine-tuned models that are later fused using a serial approach. Moreover, anImproved Ant Colony Optimization (ACO) algorithm has also opted for thebest feature selection from the fused feature vector. The best-selected featuresare finally classified using machine learning techniques. The experimentalprocess was conducted on the publicly available dataset and obtained animproved accuracy of 96.43%. In comparison with state-of-the-art techniques,it is observed that the proposed accuracy is improved.

关键词： Diseases deep learning endoscopy gastrointestinal tract transfer learning

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Cross-Cultural Communication Management between Pakistani and Chinese Employees in eLTE Project

Cross-Cultural Communication Management between Pakistani an...

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作者： muhammad nouman 山东大学

学位级别：硕士

在这个全球化的时代,多元文化受到了广泛关注。文化多元性地增长已极大地影响了全世界的许多方面。随着时间的推移,中国与巴基斯坦的关系更密切,两国关系日益突出。两国已经发起了不同的计划和项目,以求发展和增长。该研究旨在研究参与e... 详细信息

在这个全球化的时代,多元文化受到了广泛关注。文化多元性地增长已极大地影响了全世界的许多方面。随着时间的推移,中国与巴基斯坦的关系更密切,两国关系日益突出。两国已经发起了不同的计划和项目,以求发展和增长。该研究旨在研究参与eLTE项目的巴基斯坦和中国员工之间的跨文化交流管理。本研究使用的是定性数据,收集了一定量的第一手和第二手来源的数据。本研究利用访谈来收集了相关数据,并使用了文章和期刊等提供的二手数据和信息。通过对数据的分析,证明了跨文化项目中的确存在沟通障碍。语言上的差异、思维方式、信息共享方式、话中有话以及通过身体语言表达用意的差异对文化交流造成了障碍。本研究结果清楚表明策略的制定和整合可以帮助克服这些沟通障碍。本研究建议管理层必须为员工提供学习和培训的机会,这项策略可以帮助员工们进一步理解多元文化。员工们对于多元文化深入的理解可以帮助建立信心并且使员工们更容易接受多元文化。项目的成功取决于员工之间的沟通与协调。因此,通过整合正确、合适的策略以及方法来减少沟通障碍对项目成功起到关键作用。

关键词：跨文化交流管理跨文化团队

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Investigation on the process parameters of TIG-welded aluminum alloy through mechanical and microstructural characterization

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Defence Technology（防务技术） 2021年第4期17卷 1234-1248页

作者： muhammad Samiuddin Jing-long Li muhammad Taimoor Mohammad nouman Siddiqui Sumair Uddin Siddiqui Jiang-tao Xiong State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an710072PR China Shaanxi Key Laboratory of Friction Welding Technologies Northwestern Polytechnical UniversityXi’an710072PR China Metallurgical Engineering Department NED University of Engineering and TechnologyKarachi75850Pakistan Department of Aeronautics and Astronautics Institute of Space TechnologyIslamabad44000Pakistan

Multi-pass TIG welding was conducted on plates(15×300×180 mm^(3))of aluminum alloy Al-5083 that usually serves as the component material in structural applications such as cryogenics and chemical processing *** formation and solidification cracking are the most common defects when TIG welding Al-5083 alloy,which is sensitive to the welding heat *** the experiment,the heat input was varied from 0.89 kJ/mm to 5 kJ/mm designed by the combination of welding torch travel speed and welding ***,micro-Vicker hardness and Charpy impact tests were executed to witness the impetus response of heat input on the mechanical properties of the *** inspection was performed to assess the joint’s quality and welding *** results show that all the specimens displayed inferior mechanical properties as compared to the base *** was established that porosity was progressively abridged by the increase of heat *** results also clinched that the use of medium heat input(1-2 kJ/mm)offered the best mechanical properties by eradicating welding defects,in which only about 18.26% of strength was *** yield strength of all the welded specimens remained unaffected indica ted no influence of heat *** melted zone(PMZ)width also affected by heat input,which became widened with the increase of heat *** grain size of PMZ was found to be coarser than the respective grain size in the fusion *** impact testing revealed that the absorbed energy by low heat input specimen(welded at high speed)was greater than that of high heat input(welded at low speed)because of low porosity and the formation of equiaxed grains which induce better impact ***(-196℃)impact testing was also performed and the results corroborate that impact properties under the cryogenic environment revealed no appreciable change after welding at designated heat ***,Macro and micro fractured surfaces of tensile and impact spe

关键词： Tungsten inert gas welding(TIG) Heat input Welding defects Tensile strength Charpy impact strength Micro-vicker hardness SEM

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