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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

Energy management of buildings with energy storage and solar photovoltaic:A diversity in experience approach for deep reinforcement learning agents

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Energy and AI 2024年第1期15卷 1-14页

作者： Akhtar hussain Petr Musilek Department of Electrical and Computer Engineering University of AlbertaEdmontonT6G 2G2ABCanada Department of Applied Cybernetics University of Hradec Králové50003Hradec KrálovéCzech Republic

Deep reinforcement learning(DRL)is a suitable approach to handle uncertainty in managing the energy consumption of buildings with energy storage ***,DRL agents are trained by randomly selecting samples from a data set,which can result in overexposure to some data categories and under/no exposure to other data ***,the trained model may be biased towards some data groups and underperform(provide suboptimal results)for data groups to which it was less *** address this issue,diversity in experience-based DRL agent training framework is proposed in this *** approach ensures the exposure of agents to all types of *** proposed framework is implemented in two *** the first step,raw data are grouped into different clusters using the K-means clustering *** clustered data is then arranged by stacking the data of one cluster on top of *** the second step,a selection algorithm is proposed to select data from each cluster to train the DRL *** frequency of selection from each cluster is in proportion to the number of data points in that cluster and therefore named the proportional selection *** analyze the performance of the proposed approach and compare the results with the conventional random selection method,two indices are proposed in this study:the flatness index and the divergence *** model is trained using different data sets(1-year,3-year,and 5-year)and also with the inclusion of solar *** simulation results confirmed the superior performance of the proposed approach to flatten the building’s load curve by optimally operating the energy storage system.

关键词： Battery energy storage Building demand management Deep reinforcement learning Diversity in experience Energy management

Establishing simulation model for optimizing efficiency of CNC machine using reliability-centered maintenance approach

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International Journal of Modeling, Simulation, and Scientific Computing 2019年第6期10卷 1-14页

作者： Zahid hussain Hamid Jan Sarhad University of Science and Information Technology Peshawar 25000Pakistan

The objective of this work was to enhance the product’s quality by concentrating on the machine’s optimized *** order to increase the machine’s reliability,the basis of reliability-centered maintenance approach was *** purpose was to establish a planned preventive maintenance strategy to identify the machine’s critical components having a noteworthy effect on the product’s *** critical components were prioritized using failure mode and effect analysis(FMEA).The goal of the study was to decrease the ppm time interval for a CNC machine by simulating the projected preventive maintenance time *** this purpose,the simulation software ProModel 7.5 was implemented for the current preventive maintenance procedure to choose the best ppm time interval which contributed better *** dissimilar optimization approaches were applied,however,the first approach yielded the prominent total system cost and the shorter ppm *** results of the study revealed that there was an increase of USD 1878 as a result of an increase in total system cost from USD 78,365 to USD 80,*** maintenance costs were reduced from USD 4196 to USD 2248(46%).The costs associated with good parts increased from USD 8259 to USD 8294(0.4%)and the costs associated with defective parts reduced from USD 171 to USD 3(98.25%),respectively.

关键词： Simulation model CNC machine reliability-centered maintenance(RCM) failure mode and effect analysis(FMEA) planned preventive maintenance

Millimeter Wave Massive MIMO Heterogeneous Networks Using Fuzzy-Based Deep Convolutional Neural Network (FDCNN)

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Intelligent Automation & Soft Computing 2023年第4期36卷 633-646页

作者： hussain Alaaedi Masoud Sabaei Department of Computer Engineering at Computer Networks and Architecture Amirkabir University of TechnologyTehran***Iran

Enabling high mobility applications in millimeter wave(mmWave)based systems opens up a slew of new possibilities,including vehicle communi-cations in addition to wireless virtual/augmented *** narrow beam usage in addition to the millimeter waves sensitivity might block the coverage along with the reliability of the mobile *** this research work,the improvement in the quality of experience faced by the user for multimedia-related applications over the millimeter-wave band is *** high attenuation loss in high frequencies is compensated with a massive array structure named Multiple Input and Multiple Output(MIMO)which is utilized in a hyperdense environment called heterogeneous networks(HetNet).The optimization problem which arises while maximizing the Mean Opinion Score(MOS)is analyzed along with the QoE(Quality of Experience)metric by considering the Base Station(BS)powers in addition to the needed Quality of Service(QoS).Most of the approaches related to wireless network communication are not suitable for the millimeter-wave band because of its problems due to high complexity and its dynamic *** a deep reinforcement learning framework is developed for tackling the same opti-mization *** this work,a Fuzzy-based Deep Convolutional Neural Net-work(FDCNN)is proposed in addition to a Deep Reinforcing Learning Framework(DRLF)for extracting the features of highly correlated *** investigational results prove that the proposed method yields the highest satisfac-tion to the user by increasing the number of antennas in addition with the small-scale antennas at the base *** proposed work outperforms in terms of MOS with multiple antennas.

关键词： Multiple-input and multiple-output quality of experience quality of service(qos) fuzzy-based deep convolutional neural network

Abiotic and biotic constituents of oil sands process-affected waters

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Journal of Environmental Sciences 2023年第5期127卷 169-186页

作者： Nora A.S.hussain James L.Stafford Department of Biological Sciences University of AlbertaEdmontonAlberta T6G 2N8Canada

The oil sands in Northern Alberta are the largest oil sands in the world,providing an important economic resource for the Canadian energy *** extraction of petroleum in the oil sands begins with the addition of hot water to the bituminous sediment,generating oil sands process-affected water(OSPW),which is acutely toxic to *** of litres of OSPW are stored on oil sands mining leased sites in man-made reservoirs called tailings *** the volume of OSPW increases,concerns arise regarding the reclamation and eventual release of this water back into the *** is composed of a complex and heterogeneous mix of components that vary based on factors such as company extraction techniques,age of the water,location,and bitumen ore ***,the effective remediation of OSPW requires the consideration of abiotic and biotic constituents within it to understand short and long term effects of treatments *** review summarizes selected chemicals and organisms in these waters and their interactions to provide a holistic perspective on the physiochemical and microbial dynamics underpinning OSPW.

关键词： OSPW toxicants Reclamation Tailings ponds Remediation Microbial AOPs Bioremediation

Phytopharmacological potential of different species of Morus alba and their bioactive phytochemicals:A review

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Asian Pacific Journal of Tropical Biomedicine 2017年第10期7卷 950-956页

作者： Fahad hussain Zohaib Rana Hassan Shafique Arif Malik Zahid hussain Institute of Molecular Biology and Biotechnology(IMBB) The University of LahoreRaiwind Road55150LahorePakistan Department of Pharmaceutics Faculty of PharmacyUniversiti Teknologi MARAPuncak Alam CampusBandar Puncak Alam42300SelangorMalaysia

Medicinal plants of Moraceae family have been well-recognized traditionally due to their versatile applications in various fields including agriculture, cosmetic and food as well as in pharmaceutical industries. Their biomedical and medicinal importance is reflected from their broad range of pharmacological activities for treatment of various inflammatory conditions, cancer, infectious diseases, and gastrointestinal disorders. The present review was aimed to summarize and critically discuss the biomedical implications of Morus species, their bioactive compounds, and phytochemicals. Bioactivity guided fractionation of these medicinal plants revealed that different types of bioactive phytochemicals and secondary metabolites such as steroids, saponins, alkaloids, glycosides and phenolic compounds including terpenoids, flavonoids, anthocyanins and tannins were present. The critical analysis of the literature revealed that the aqueous, methanolic, and ethanolic extracts of Morus species and their bioactive compounds exhibit remarkable anti-oxidative,anti-diabetic, anti-stress, nephroprotective, antimicrobial, anti-mutagenic, anticancer,anxiolytic, hepatoprotective, anthelmintic, antimicrobial, immune-modulatory and cholesterol lowering effects. Based on the literature review and bioactivity guided investigation of Morus species and their phytomedicinal effects, we anticipate that these herbal products hold excellent potential for future research.

关键词： Moraceae Phytochemicals Pharmacological activities Anti-inflammatory Immunomodulatory Anticancer

Efficient maximum power point tracker based on neural network and sliding-mode control for buck converters

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Clean Energy 2022年第5期6卷 716-725页

作者： hussain Attia Khaled Hossin Department of Electrical and Electronic Engineering American University of Ras Al KhaimahRas Al KhaimahUnited Arab Emirates Department of Mechanical and Industrial Engineering American University of Ras Al KhaimahRas Al KhaimahUnited Arab Emirates

This paper presents detailed design steps of an effective control system aiming to increase the solar energy harvested via photovoltaic power-generation *** design of an intelligent maximum power point tracker(MPPT)supported by a robust sliding-mode(SM)controller is discussed in this *** proposed control scheme is designed to track the MPP and provide a smooth system response by removing the overshoot in the load current during any variation in the connected *** a system is suitable for DC-DC buck converter *** study begins with modelling the buck converter for a continuous current mode *** reference voltage of the tracking system is produced by the proposed neural network(NN)*** proposed intelligent MPPT integrated with an SM controller is simulated in a MATLAB®/Simulink®*** simulation results are analysed to investigate and confirm the satisfaction level of the adopted four-serially connected PV-modules *** system performance is evaluated at a light intensity of 500 W/m^(2) and an ambient temperature of 25°*** only the proposed NN algorithm guarantees the MPP tracking response by delivering 100 W at a resistive load of 13Ω,and 200 W at a load of 6.5Ω,respectively,with 99.77%system ***,this simultaneously demonstrates a current spike of~0.5 A when the load is varied from 50%to 100%.The integrated SM controller demonstrates a robust and smooth response,eliminating the existing current spike.

关键词： photovoltaic panel neural network algorithm MPPT sliding-mode controller buck converter

Improved Semi-empirical Model of Proton Exchange Membrane Fuel Cell Incorporating Fault Diagnostic Feature

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1566-1573页

作者： Saad Saleem Khan hussain Shareef Ahmad Asrul Ibrahim Department of Electrical Engineering College of EngineeringUnited Arab Emirates University IEEE Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia

The membrane water content of the proton exchange membrane fuel cell(PEMFC)is the most important feature required for water management of the PEMFC *** improper management of water in the fuel cell may lead to system *** various faults,flooding and drying faults are the most frequent in the PEMFC *** paper presents a new dynamic semi-empirical model which requires only the load current and temperature of the PEMFC system as the input while providing output voltage and membrane water content as its major *** other PEMFC systems,the proposed dynamic model calculates the internal partial pressure of oxygen and hydrogen rather than using special internal ***,the membrane water content and internal resistances of PEMFC are modelled by incorporating the load current condition and temperature of the PEMFC *** model parameters have been extracted by using a quantum lightening search algorithm as an optimization technique,and the performance is validated with experimental data obtained from the NEXA 1.2 k W PEMFC *** further demonstrate the capability of the model in fault detection,the variation in membrane water content has been studied via the *** proposed model could be efficiently used in prognostic and diagnosis systems of PEMFC fault.

关键词： Proton exchange membrane fuel cell(PEMFC)fault membrane water content modelling optimization quan-tum lightening search algorithm

Contribution of hydro energy production,economic complexity and technological innovation in achieving an environmentally sustainable Asia

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Geoscience Frontiers 2024年第5期15卷 515-528页

作者： Farah Rana Bilal hussain Abdelmohsen A.Nassani Ayesha hussain Mohamed Haffar Syed Asif Ali Naqvi Department of Economics Government College UniversityFaisalabadPakistan Government Graduate College Gojra Toba Tek SinghPakistan Department of Management College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh 11587Saudi Arabia Department of Home Economics Government College Women University FaisalabadPakistan Department of Management Birmingham Business SchoolUniversity of BirminghamUnited Kingdom

The impact of hydro energy production,economic complexity,urbanization,technological innovation and financial development on environmental sustainability between 1995 and 2017 is examined for a panel of thirteen Asian economies using two environmental proxies—their ecological footprint and CO_(2)*** non-parametric Driscoll-Kraay standard error method and the Dumitrescu-Hurlin panel causality test are applied to the *** findings show that hydro energy production and technological innovation have a significant negative impact on the environment,thus promoting environmental *** complexity significantly lowers environmental sustainability while the non-linear effect of economic complexity favors environmental sustainability;this confirms the existence of an economic-complexity-based inverted-U-shaped environmental Kuznets curve ***,urbanization and financial development significantly decrease environmental *** results of our study confirm the feedback causality between hydro energy production and carbon dioxide *** recommend expansionary policies regarding hydro energy production that are beneficial for substituting fossil fuel *** paves a path towards environmental sustainability in this era of global boiling.

关键词： Hydro energy production Environmental sustainability Global boiling Economic complexity Asian countries Panel corrected standard error