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Fine Sand and Clay Sediment Acoustic Properties of the Novel Sediment Sample from the Arabian Sea:Experimental Investigations and Biot−Stoll Model Validation

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China Ocean Engineering 2024年第1期38卷 169-180页

作者： Shahabuddin shaikh HUANG Yi-wang ZHANG Ze-chuan Habib hussain ZUBERI National Key Laboratory of Underwater Acoustic Technology and College of Underwater Acoustic Engineering Harbin Engineering UniversityHarbin 150001China

The present study explores the physical and acoustic characteristics of fine sand and clay in novel seabed marine sediments from of Pakistan coastline of the Arabian *** measured physical parameters included mean grain size,mass density,bulk density,salinity,porosity,permeability,pore size and mineralogical *** properties,including sound speed and attenuation,in the high frequency range of 90-170 kHz were analyzed.A controlled laboratory setup with the acoustic transmission method and Fourier transform techniques was utilized to examine the sound propagation and absorption of novel seabed *** standard deviation of mean sound speed in fresh water was 0.75 m/s,and attenuation was observed in the range of 0.43 to 0.61 dB/*** mean sound velocity in sand and clay varied from 1706 to 1709 m/s and 1602 to 1608 m/s,*** average attenuation was observed at 80 to 93 dB/m in sandy sediments and from 31.8 to 38.6 dB/m in clayey *** velocity variation within sandy sediment is low,consistent with expected results,and smaller than the predicted ***,clay sediment exhibited a positive linear correlation and low sound speed *** increased linearly with frequency for both ***,the laboratory results were validated by using the Biot−Stoll *** dispersion of sound speed in sandy and clayey sediments was consistent with the predictions of the Biot−Stoll *** attenuation aligned more with Biot−Stoll model predictions due to improved permeability,tortuosity and pore size parameter fitting.

关键词： physical and acoustic characteristics marine sediments sound speed attenuation Biot−Stoll model

Massive MIMO system lower bound spectral efficiency analysis with precoding and perfect CSI

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Digital Communications and Networks 2021年第3期7卷 342-351页

作者： Tasher Ali sheikh Joyatri Bora Md Anwar hussain Department of Electronics and Communication Engineering North Eastern Regional Institute of Science and TechnologyNirjuliArunachal Pradesh791109India

The analytical lower bound of Spectral Efficiency(SE)of downlink transmission of the Massive Multiple Input Multiple Output(Ma-MIMO)system is *** this paper,we derive some novel and approximate mathematical expressions for the lower bound of the SE of a Ma-MIMO with linear precoding schemes,i.e.,Minimum Mean Square Error(MMSE)and Zero-Forcing(ZF).For simulation analysis of the SE,we consider three joint users and antenna scheduling algorithms,namely,the semi-orthogonal,random,and distance-based user scheduling algorithms,whereas the antennas are selected based on Maximum Signal to Noise Ratio(MSNR)with scheduled *** channel between the user and the transmitter is assumed to have characteristics of Small Scale Fading(SSF)and Large Scale Fading(LSF)with the Rayleigh fading *** investigate the effect of the variation of transmitting SNR,the number of base station antennas(M),and the radius(R)of the cell area on the *** simulate the downlink transmission of Ma-MIMO and compare the simulation and analytical *** is observed that the trends of variation of both results are similar to the variation of identical factors,and the difference between the simulated and analytical lower bounds of the SE is approximately 1-1.5 *** analytical lower bound is smaller than the simulation result.

关键词： Fifth-generation Spectral efficiency Ma-MIMO LSF coefficient Precoding

Deep Learning Framework for Classification of Emoji Based Sentiments

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Computers, Materials & Continua 2022年第8期72卷 3145-3158页

作者： Nighat Parveen shaikh Mumtaz hussain Mahar Shah Abdul Latif University Khairpur77150Pakistan

Recent patterns of human sentiments are highly influenced by emoji based sentiments(EBS).Social media users are widely using emoji based sentiments(EBS)in between text messages,tweets and *** tiny pictures of emoji contains sufficient information to be considered for construction of classification model;but due to the wide range of dissimilar,heterogynous and complex patterns of emoji with similarmeanings(SM)have become one of the significant research areas of machine *** paper proposes an approach to provide meticulous assistance to social media application(SMA)users to classify the EBS *** methodology consists upon three layerswhere first layer deals with data cleaning and feature selection techniques to detect dissimilar emoji patterns(DEP)with similar meanings(SM).In first sub step we input set of emoji,in second sub step every emoji has to qualify user defined threshold,in third sub step algorithm detects every emoji by considering as objects and in fourth step emoji images are cropped,after data cleaning these tiny images are saved as emoji *** second step we build classification model by using convolutional neural networks(CNN)to explore hidden knowledge of emoji *** third step we present results visualization by using confusion matrix and other *** paper contributes(1)data cleaning method to detect EBS;(2)highest classification accuracy for emoji classification measured as 97.63%.

关键词： Deep learning machine vision convolutional neural networks social media emoji based sentiments

Capacity maximizing in massive MIMO with linear precoding for SSF and LSF channel with perfect CSI

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Digital Communications and Networks 2021年第1期7卷 92-99页

作者： Tasher Ali sheikh Joyatri Bora Md.Anwar hussain Department of Electronics and Communication Engineering Nordi Eastern Regional Institute of Science and TechnologyNirjuliArunachal Pradesh791109India

The capacity of a massive MIMO cellular network depends on user and antenna selection algorithms,and also on the acquisition of perfect Channel State Information(CSD).Low computational cost algorithms for user and an-tenna selection significantly may enhance the system capacity,as it would consume a smaller bandwidth out of the total bandwidth for downlink *** objective of this paper is to maximize the system sum-rate capacity with efficient user and antenna selection algorithms and linear *** consider in this paper,a slowly fading Rayleigh channel with perfect acquisition of CSI to explore the system sum-rate capacity of *** MIMO *** user selection,we apply three algorithms,namely Semi orthogonal user selection(SUS),Descending Order of SNR-based User Scheduling(DOSUS),and Random User Selection(RUS)*** all the user selection algorithms,the selection of Base Station(BS)antenna is based on the maximum Signal-to-Noise Ratio(SNR)to the selected *** users are characterized by having both Small Scale Fading(SSF)due to slowly fading Rayleigh channel and *** Fading(ISF)due to distances from the base ***,we use linear precoding techniques,such as Zero Forcing(ZF),Minimum Mean Square Error(MMSE),.and Maximum Ratio Transmission(MRT)to reduce interferences,thereby improving average system sum-rate *** using SUS,DOSUS,and RUS user selection algorithms with ZF,MMSE,and MRT precoding techniques are *** also analyzed and compared the computational complexity of all the three user selection *** computational complexities of the three algorithms that we achieved in this paper are 0(1)for RUS and DOSUS,and 0(M^2N)for suS which are less than the other conventional user selection methods.

关键词： Massive MIMO User selection Antenna selection Complexity DOSUS and antenna selection 5G

Melting Characteristics of a Phase Change Material Mixed with Nano Particles of Cobalt Oxide Bounded in a Trapezoidal Structure

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Computer Modeling in Engineering & Sciences 2022年第1期130卷 255-268页

作者： Waris Ali Asif Ali shaikh Feroz Shah Sajjad hussain Department of Basic Sciences and Related Studies Mehran University of Engineering and TechnologyJamshoroPakistan School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore Department of Mathematics Govt Postgraduate College LayyahPunjabPakistan

A novel trapezoidal design for storage of heat energy through melting of phase-change material(PCM)is *** heat thermal energy storage system(LHTES)is a promising option to diminish mis-match between energy consumption and *** this purpose,Paraffin:Rubitherm-35(RT35)material is successively melted in aluminum structure which is heated from one side and the other sides are kept *** of PCM is observed experimentally and melt fronts are photographed for various time *** fluid-solid module in COMSOL Multiphysics 5.4 has been *** transient heat conduction with enthalpy function is *** are carried out for enhancement of thermal conductivity through addition of nano-entities of cobalt oxide *** time is notably reduced with inclusion of nano-entities to enhance thermal *** time spans for melt start and total melt in case of pure PCM are 375 and 4500(s)respectively whereas for the nano mix case,these are 150 and 3000 *** 33%shorter time length is noticed for charging of the PCM trapezoidal matrix with nano entities of Co3O4 *** results fromsimulation and lab observations depict similar patterns and are in quite close comparison.

关键词： Trapezoidal enclosure nano entities heat transfer phase change material COMSOL multiphysics 5.4 numerical simulation

IRMIRS:Inception-ResNet-Based Network for MRI Image Super-Resolution

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1121-1142页

作者： Wazir Muhammad Zuhaibuddin Bhutto Salman Masroor Murtaza hussain shaikh Jalal Shah Ayaz hussain Department of Electrical Engineering Balochistan University of Engineering and TechnologyKhuzdar89100Pakistan Department of Computer Systems Engineering Balochistan University of Engineering and TechnologyKhuzdar89100Pakistan Department of Mechanical Engineering Balochistan University of Engineering and TechnologyKhuzdar89100Pakistan Department of Mechanical Engineering National Taiwan University of Science and Technology10607Taiwan Department of Information Systems Kyungsung UniversityBusan613010South Korea

Medical image super-resolution is a fundamental challenge due to absorption and scattering in *** challenges are increasing the interest in the quality of medical *** research has proven that the rapid progress in convolutional neural networks(CNNs)has achieved superior performance in the area of medical image ***,the traditional CNN approaches use interpolation techniques as a preprocessing stage to enlarge low-resolution magnetic resonance(MR)images,adding extra noise in the models and more memory ***,conventional deep CNN approaches used layers in series-wise connection to create the deeper mode,because this later end layer cannot receive complete information and work as a dead *** this paper,we propose Inception-ResNet-based Network for MRI Image Super-Resolution known as *** our proposed approach,a bicubic interpolation is replaced with a deconvolution layer to learn the upsampling ***,a residual skip connection with the Inception block is used to reconstruct a high-resolution output image from a low-quality input *** and qualitative evaluations of the proposed method are supported through extensive experiments in reconstructing sharper and clean texture details as compared to the state-of-the-art methods.

关键词： Super-resolution magnetic resonance imaging ResNet block inception block convolutional neural network deconvolution layer

Interaction of point defects with twin boundaries in Au: A molecular dynamics study

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Chinese Physics B 2013年第9期22卷 496-504页

作者： Fayyaz hussain Sardar Sikandar Hayat Zulfiqar Ali Shah Najmul Hassan shaikh Aftab Ahmad Department of Physics The Islamia University of Bahawalpur Department of Physics Hazara University

The molecular dynamics simulation technique with many-body and semi-empirical potentials （based on the embedded atom method potentials） has been used to calculate the interactions of point defects with （1 1 1）, （1 1 3）, and （1 2 0） twin boundaries in Au at different temperatures. The interactions of single-, di-, and tri-vacancies （at on- and off-mirror sites） with the twin interfaces at 300 K are calculated. All vacancy clusters are favorable at the on-mirror arrangement near the （1 1 3） twin boundary. Single- and di-vacancies are more favorable at the on-mirror sites near the （1 1 l） twin boundary, while they are favorable at the oft-mirror sites near the （1 2 0） twin boundary. Almost all vacancy clusters energetically prefer to lie in planes closest to the interface rather than away from it, except for tri-vacancies near the （1 2 0） interface at the off-mirror site and for 3.3 and 3.4 vacancy clusters at both sites near the （1 1 1） interface, which are favorable away from the interface. The interaction energy is high at high temperatures.

关键词： molecular dynamics twin boundaries vacancy clusters gold

Data Analysis of Network Parameters for Secure Implementations of SDN-Based Firewall

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Computers, Materials & Continua 2023年第11期77卷 1575-1598页

作者： Rizwan Iqbal Rashid hussain Sheeraz Arif Nadia Mustaqim Ansari Tayyab Ahmed shaikh Department of Telecommunication Engineering Dawood University of Engineering&TechnologyKarachiPakistan Faculty of Engineering Sciences and Technology Hamdard UniversityKarachiPakistan Faculty of Information Technology Salim Habib UniversityKarachiPakistan Department of Electronic Engineering Dawood University of Engineering&TechnologyKarachiPakistan

Software-Defined Networking(SDN)is a new network technology that uses programming to complement the data plane with a control *** enable safe connection,however,numerous security challenges must be *** attacks have been one of the most prominent risks on the internet for decades,and they are now becoming challenging difficulties in SDN *** solve these challenges,we proposed a unique firewall application built on multiple levels of packet filtering to provide a flooding attack prevention system and a layer-based packet detection *** study offers a systematic strategy for wrapping up the examination of SDN *** Mininet simulator examines the effectiveness of SDN-based firewalls at various network *** fundamental network characteristics that specify how SDN should *** three main analytical measures of the network are jitter,response time,and *** regular operations,their behavior evaluates in the standard SDN conditions of Transmission Control Protocol(TCP)flooding and User Datagram Protocol(UDP)flooding with no SDN *** Orbit Ion Cannon(LOIC)is applied to launch attacks on the transmission by the allocated *** and MATLAB are used for the behavioral study to determine how sensitive the parameters are used in the SDN network and monitor the fluctuations of those parameters for different simulated scenarios.

关键词： Software defined networking firewall POX controller open v switch Mininet OpenFlow

Multi-Modality and Feature Fusion-Based COVID-19 Detection Through Long Short-Term Memory

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Computers, Materials & Continua 2022年第9期72卷 4357-4374页

作者： Noureen Fatima Rashid Jahangir Ghulam Mujtaba Adnan Akhunzada Zahid hussain shaikh Faiza Qureshi Center of Excellence for Robotics Artificial Intelligenceand BlockchainDepartment of Computer ScienceSukkur IBA UniversitySukkurPakistan Department of Computer Science COMSATS University Islamabad–Vehari CampusPakistan Faculty of Computing and Informatics University Malaysia SabahKota Kinabalu88400Malaysia Department of Mathematics Sukkur IBA UniversitySukkurPakistan

The Coronavirus Disease 2019(COVID-19)pandemic poses the worldwide challenges surpassing the boundaries of country,religion,race,and *** current benchmark method for the detection of COVID-19 is the reverse transcription polymerase chain reaction(RT-PCR)***,this testing method is accurate enough for the diagnosis of ***,it is time-consuming,expensive,expert-dependent,and violates social *** this paper,this research proposed an effective multimodality-based and feature fusion-based(MMFF)COVID-19 detection technique through deep neural *** multi-modality,we have utilized the cough samples,breathe samples and sound samples of healthy as well as COVID-19 patients from publicly available COSWARA *** set of experimental analyses were performed to evaluate the performance of our proposed *** useful features were extracted from the aforementioned modalities that were then fed as an input to long short-term memory recurrent neural network algorithms for the classification *** set of experimental analyses were performed to evaluate the performance of our proposed *** experimental results showed that our proposed approach outperformed compared to four baseline approaches published *** believe that our proposed technique will assists potential users to diagnose the COVID-19 without the intervention of any expert in minimum amount of time.

关键词： Covid-19 detection long short-term memory feature fusion deep learning audio classification