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Performance Analysis of ZF and RZF in Low-Resolution ADC/DAC Massive MIMO Systems

China Communications 2024年第8期21卷 115-126页

作者： talha Younas Shen Jin Muluneh Mekonnen Gao Mingliang Saqib Saleem Sohaib Tahir Mahrukh Liaqat School of Electrical and Electronic Engineering Shandong University of TechnologyZibo 255000China Department of Electrical and Computer Engineering COMSATS University IslamabadSahiwal Campus Department of Electrical and Computer Engineering College of EngineeringDhofar UniversitySalalah 211Oman Department of Electrical and Computer Engineering Addis Ababa Science and Technology UniversityAddis AbabaEthiopia Department of Electrical Engineering College of Electrical and Mechanical EngineeringNUSTIslamabadPakistan

Large number of antennas and higher bandwidth usage in massive multiple-input-multipleoutput(MIMO)systems create immense burden on receiver in terms of higher power *** power consumption at the receiver radio frequency(RF)circuits can be significantly reduced by the application of analog-to-digital converter(ADC)of low *** this paper we investigate bandwidth efficiency(BE)of massive MIMO with perfect channel state information(CSI)by applying low resolution ADCs with Rician *** start our analysis by deriving the additive quantization noise model,which helps to understand the effects of ADC resolution on BE by keeping the power constraint at the receiver in *** also investigate deeply the effects of using higher bit rates and the number of BS antennas on bandwidth efficiency(BE)of the *** emphasize that good bandwidth efficiency can be achieved by even using low resolution ADC by using regularized zero-forcing(RZF)combining *** also provide a generic analysis of energy efficiency(EE)with different options of bits by calculating the energy efficiencies(EE)using the achievable *** emphasize that satisfactory BE can be achieved by even using low-resolution ADC/DAC in massive MIMO.

关键词： low-bit analog-digital converter massive(multiple-input-multiple-output)MIMO minimum mean square error(MMSE) regularized zero forcing zero forcing

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Phase-field model of pitting corrosion kinetics in metallic materials

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npj Computational Materials 2018年第1期4卷 330-338页

作者： talha Qasim Ansari Zhihua Xiao Shenyang Hu Yulan Li Jing-Li Luo San-Qiang Shi Department of Mechanical Engineering The Hong Kong Polytechnic University11 Yuk Choi RoadHung HomKowloonHong Kong Pacific Northwest National Laboratory RichlandWA 99352USA Department of Chemical and Materials Engineering University of AlbertaEdmontonAB T6G 2R3Canada

Pitting corrosion is one of the most destructive forms of corrosion that can lead to catastrophic failure of *** study presents a thermodynamically consistent phase field model for the quantitative prediction of the pitting corrosion kinetics in metallic *** order parameter is introduced to represent the local physical state of the metal within a metal-electrolyte *** free energy of the system is described in terms of its metal ion concentration and the order *** the ion transport in the electrolyte and the electrochemical reactions at the electrolyte/metal interface are explicitly taken into *** temporal evolution of ion concentration profile and the order parameter field is driven by the reduction in the total free energy of the system and is obtained by numerically solving the governing equations.A calibration study is performed to couple the kinetic interface parameter with the corrosion current density to obtain a direct relationship between overpotential and the kinetic interface *** phase field model is validated against the experimental results,and several examples are presented for applications of the phase-field model to understand the corrosion behavior of closely located pits,stressed material,ceramic particles-reinforced steel,and their crystallographic orientation dependence.

关键词： corrosion pitting steel

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Multi-scale visual analysis of cycle characteristics in spatially-embedded graphs

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Visual Informatics 2023年第3期7卷 49-58页

作者： Farhan Rasheed talha Bin Masood Tejas G.Murthy Vijay Natarajan Ingrid Hotz Department of Science and Technology LinkOing UniversityBredgatan 33NorrkOing60221Sweden Department of Civil Engineering Indian Institute of ScienceBangalore560012India Department of Computer Science and Automation Indian Institute of ScienceBangalore560012India

We present a visual analysis environment based on a multi-scale partitioning of a 2d domain intoregions bounded by cycles in weighted planar embedded *** work has been inspired by anapplication in granular materials research,where the question of scale plays a fundamental role inthe analysis of material *** propose an efficient algorithm to extract the hierarchical cyclestructure using persistent *** core of the algorithm is a filtration on a dual graph exploitingAlexander’s *** resulting partitioning is the basis for the derivation of statistical properties thatcan be explored in a visual *** demonstrate the proposed pipeline on a few syntheticand one real-world dataset.

关键词： Visual data analysis Planar graph Force network Granular materials Persistence homology Force loops Computational geometry

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A Hybrid Approach for Network Intrusion Detection

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Computers, Materials & Continua 2022年第1期70卷 91-107页

作者： Mavra Mehmood talha Javed Jamel Nebhen Sidra Abbas Rabia Abid Giridhar Reddy Bojja Muhammad Rizwan Department of Computer Science Kinnaird College for WomenLahore54000Pakistan ASET Labs IslamabadPakistan Prince Sattam bin Abdulaziz University College of Computer Science and EngineeringAlkharj11942Saudi Arabia College of Business and Information Systems Dakota State UniversityMadisonUnited States of America

Due to the widespread use of the internet and smart devices,various attacks like intrusion,zero-day,Malware,and security breaches are a constant threat to any organization’s network ***,a Network Intrusion Detection System(NIDS)is required to detect attacks in network *** paper proposes a new hybrid method for intrusion detection and attack *** proposed approach comprises three steps to address high false and low false-negative rates for intrusion detection and attack *** the first step,the dataset is preprocessed through the data transformation technique and min-max ***,the random forest recursive feature elimination method is applied to identify optimal features that positively impact the model’s ***,we use various Support Vector Machine(SVM)types to detect intrusion and the Adaptive Neuro-Fuzzy System(ANFIS)to categorize probe,U2R,R2U,and DDOS *** validation of the proposed method is calculated through Fine Gaussian SVM(FGSVM),which is 99.3%for the binary *** Square Error(MSE)is reported as 0.084964 for training data,0.0855203 for testing,and 0.084964 to validate multiclass categorization.

关键词： Network security intrusion detection system machine learning attacks data mining classification feature selection

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Microstructure,wear and corrosion performance of plasma electrolytic oxidation coatings formed on D16T Al alloy

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Rare Metals 2020年第12期39卷 1425-1439页

作者： Wan-Ying Liu Ying Liu Carsten Blawert Mikhail-L.Zheludkevich Chun-Ling Fan Mohd talha Yuan-Hua Lin College of Materials Science and Engineering Sichuan UniversityChengdu 610065China School of New Energy and Materials Southwest Petroleum UniversityChengdu 610500China Helmholtz-Zentrum Geesthacht Zentrum fur Material-und Küstenforschung GmbH.Institute of Materials Research Geesthacht 21502Germany Chongqing Xinyu Pressure Vessel Manufacturing Co. Ltd..Chongqing 402560China

The plasma electrolytic oxidation(PEO)coatings were produced on D16 T Al alloy in the aluminate and silicate electrolyte with and without *** phase composition,microstructure and elemental distribution of the coatings were tested by X-ray diffraction(XRD),scanning electron microscope(SEM)and energy dispersive X-ray spectroscopy(EDX).The wear and corrosion resistance of PEO coatings were evaluated by dry sliding wear tests and electrochemical impedance spectroscopy(EIS).The morphology feature of the wear tracks was compared and analyzed by SEM and three-dimensional *** results demonstrate that the structure,wear and corrosion resistance of PEO coatings with graphene are better than that of PEO coatings without *** coating fabricated in the aluminate electrolyte with graphene exhibited the lowest *** coated samples formed in silicate electrolyte with graphene displayed the thickest,densest and the most compact *** exhibited the best wear and corrosion resistance due to the incorporation mode of graphene in the *** mechanism of graphene improving the wear and corrosion resistance of PEO coating was further *** summary,the comprehensive performances of PEO coatings formed in silicate electrolyte on D16 T Al alloy are superior to that produced in aluminate electrolyte.

关键词： PEO coatings D16T Al alloy Graphene Wear Corrosion

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Hemodynamic Response Detection Using Integrated EEG-fNIRS-VPA for BCI

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Computers, Materials & Continua 2022年第1期70卷 535-555页

作者： Arshia Arif M.Jawad Khan Kashif Javed Hasan Sajid Saddaf Rubab Noman Naseer talha Irfan Khan National University of Sciences and Technology(NUST) IslamabadPakistan Intelligent Robotics Lab National Center of Artificial IntelligenceNational University of Sciences and Technology(NUST)IslamabadPakistan Department of Mechatronics Engineering Air UniversityIslamabadPakistan Institute of Space Technology IslamabadPakistan

For BCI systems,it is important to have an accurate and less complex architecture to control a device with enhanced *** this paper,a novel methodology for more accurate detection of the hemodynamic response has been developed using a multimodal brain-computer interface(BCI).An integrated classifier has been developed for achieving better classification accuracy using two *** integrated EEG-fNIRS-based vector-phase analysis(VPA)has been *** open-source dataset collected at the TechnischeUniversit鋞Berlin,including simultaneous electroencephalography(EEG)and functional near-infrared spectroscopy(fNIRS)signals of 26 healthy participants during n-back tests,has been used for this *** and physiological noise removal has been done using preprocessing techniques followed by individually detecting activity in both *** resting state threshold circle,VPA has been used to detect a hemodynamic response in fNIRS signals,whereas phase plots for EEG signals have been constructed using Hilbert Transform to detect the activity in each *** threshold circles are drawn in the vector plane,where each circle is drawn after task completion in each trial of EEG ***,both processes are integrated into one vector-phase plot to get combined detection of hemodynamic response for *** of this study illustrate that the combined EEG-fNIRS VPA yields considerably higher average classification accuracy,that is 91.35%,as compared to other classifiers such as support vector machine(SVM),convolutional neural networks(CNN),deep neural networks(DNN)and VPA(with dual-threshold circles)with classification accuracies 82%,89%,87%and 86%*** of this research demonstrate that improved classification performance can be feasibly achieved using multimodal VPA for EEG-fNIRS hybrid data.

关键词： EEG-fNIRS hybrid BCI vector-phase analysis hemodynamic response detection

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Insights into the oxidation resistance mechanism and tribological behaviors of multilayered TiSiN/CrVxN hard coatings

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International Journal of Minerals,Metallurgy and Materials 2023年第12期30卷 2459-2468页

作者： Hongbo Ju Moussa Athmani Jing Luan Abbas AL-Rjoub Albano Cavaleiro talha Bin Yaqub Abdelouahad Chala Fabio Ferreira Filipe Fernandes School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China Laboratory of Physics of Thin Films and Applications University of Mohamed KhiderBP 145 RPBiskra 07000Algeria CEMMPRE ARISEDepartment of Mechanical EngineeringUniversity of CoimbraCoimbra 3030-788Portugal IPN-LED&MAT-Instituto Pedro Nunes Laboratory of TestsWear and MaterialsCoimbra 3030-199Portugal ISEP Polytechnic of PortoRua Dr.António Bernardino de AlmeidaPorto 4249-015Portugal

In the last decades,vanadium alloyed coatings have been introduced as potential candidates for self-lubrication due to their perfect tribological *** this work,the influence of V incorporation on the wear performance and oxidation resistance of TiSiN/CrN film coatings deposited by direct current(DC)reactive magnetron sputtering is *** results show that vanadium incorporation significantly decreases the oxidation resistance of the *** general,two layers are formed during the oxidation process:i)Ti(V)O_(2) on top,followed by a protective layer,which is subdivided into two layers,Cr_(2)O_(3) and ***)The diffusion of V controls the oxidation of V-containing *** addition of vanadium improves the wear resistance of coatings,and the wear rate decreases with increasing V content in the coatings;however,the friction coefficient is independent of the chemical composition of the *** wear of the V-containing coatings is driven by polishing wear.

关键词： DC magnetron sputtering TiSiN/CrVxN multilayer coatings oxidation resistance tribology wear rate

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In vitro and in vivo study on fine-grained Mg-Zn-RE-Zr alloy as a biodegradeable orthopedic implant produced by friction stir processing

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Bioactive Materials 2023年第10期28卷 448-466页

作者： Vasanth C.Shunmugasamy Marwa AbdelGawad Muhammad Umar Sohail Talal Ibrahim talha Khan Thomas Daniel Seers Bilal Mansoor Mechanical Engineering Program Texas A&M University at QatarEducation CityDohaQatar Department of Mechanical Engineering Texas A&M University3123 TAMUCollege StationTX 77843USA Proteomics Core Weill Cornell MedicineEducation CityDohaQatar Department of Surgery Division of Orthopedic SurgerySidra MedicineDohaQatar Clinical Orthopedic Surgery Weill Cornell MedicineEducation CityDohaQatar Petroleum Engineering Program Texas A&M University at QatarEducation CityDohaQatar Department of Materials Science and Engineering Texas A&M University3003 TAMUCollege StationTX 77843USA

Magnesium alloys containing biocompatible components show tremendous promise for applications as temporary biomedical devices. However, to ensure their safe use as biodegradeable implants, it is essential to control their corrosion rates. In concentrated Mg alloys, a microgalvanic coupling between the α-Mg matrix and secondary precipitates exists which results in increased corrosion rate. To address this challenge, we engineered the microstructure of a biodegradable Mg-Zn-RE-Zr alloy by friction stir processing (FSP), improving its corrosion resistance and mechanical properties simultaneously. The FS processed alloy with refined grains and broken and uniformly distributed secondary precipitates showed a relatively uniform corrosion morphology accompanied with the formation of a stable passive layer on the alloy surface. In vivo corrosion evaluation of the processed alloy in a small animal model showed that the material was well-tolerated with no signs of inflammation or harmful by-products. Remarkably, the processed alloy supported bone until it healed till eight weeks with a low in vivo corrosion rate of 0.7 mm/year. Moreover, we analyzed blood and histology of the critical organs such as liver and kidney, which showed normal functionality and consistent ion and enzyme levels, throughout the 12- week study period. These results demonstrate that the processed Mg-Zn-RE-Zr alloy offers promising potential for osseointegration in bone tissue healing while also exhibiting controlled biodegradability due to its engineered microstructure. The results from the present study will have profound benefit for bone fracture management, particularly in pediatric and elderly patients.

关键词： Biodegradable magnesium Bone healing Friction stir processing Microstructure Corrosion resistance

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A Particle Swarm Optimization Based Deep Learning Model for Vehicle Classification

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Computer Systems Science & Engineering 2022年第1期40卷 223-235页

作者： Adi Alhudhaif Ammar Saeed talha Imran Muhammad Kamran Ahmed S.Alghamdi Ahmed O.Aseeri Shtwai Alsubai Department of Computer Science College of Computer Engineering and Sciences in Al-KharjPrince Sattam bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia Department of Computer Science COMSATS University IslamabadWah Cantt47010Pakistan University of Jeddah College of Computer Science and Engineering Department of CybersecurityJeddah21959Saudi Arabia

Image classification is a core field in the research area of image proces-sing and computer vision in which vehicle classification is a critical *** purpose of vehicle categorization is to formulate a compact system to assist in real-world problems and applications such as security,traffic analysis,and self-driving and autonomous *** recent revolution in the field of machine learning and artificial intelligence has provided an immense amount of support for image processing related problems and has overtaken the conventional,and handcrafted means of solving image analysis *** this paper,a combina-tion of pre-trained CNN GoogleNet and a nature-inspired problem optimization scheme,particle swarm optimization(PSO),was employed for autonomous vehi-cle *** model was trained on a vehicle image dataset obtained from Kaggle that has been suitably *** trained model was classified using several classifiers;however,the Cubic SVM(CSVM)classifier was found to out-perform the others in both time consumption and accuracy(94.8%).The results obtained from empirical evaluations and statistical tests reveal that the model itself has shown to outperform the other related models not only in terms of accu-racy(94.8%)but also in terms of training time(82.7 s)and speed prediction(380 obs/sec).

关键词： Vehicle classification intelligent transport system deep learning constrained machine learning particle swarm optimization CNN GoogleNet

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Ambient noise H/V spectral ratio in site effects estimation in Fateh jang area, Pakistan

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Earthquake Science 2015年第1期28卷 87-95页

作者： S.M.talha Qadri Bushra Nawaz S.H.Sajjad Riaz Ahmad Sheikh Department of Earth Sciences University of Sargodha College of Earth and Environmental Sciences University of the Punjab

Local geology or local site effect is a crucial component while conducting seismic risk assessment studies. Investigations made by utilization of ambient noise are an effective tool for local site estimation. The present study is conducted to perform site response analysis at 13 different sites within urban settlements of Fateh jang area （Pakistan）. The aim of this study was achieved by utilizing Nakamura method or H/V spectral ratio method. Some important local site parameters, e.g., the fundamental fre- quencies f0 of soft sediments, amplitudes A0 of corre- sponding H/V spectral ratios, and alluvium thicknesses over 13 sites within the study area, were measured and analyzed. The results show that the study area reflects low fundamental frequency fo. The fundamental frequencies of the sediments are highly variable and lie in a range of 0.6-13.0 Hz. Similarly, amplification factors at these sites are in the range of 2.0-4.0.

关键词： Local site effectspectral ratios Fundamentalfactor Alluvium thickness Ambient noise H/Vfrequency Amplification

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