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Milestones of Wireless Communication Networks and Technology Prospect of Next Generation(6G)

Computers, Materials & Continua 2022年第6期71卷 4803-4818页

作者： Mohammed H.Alsharif md.sanwar hossain Abu Jahid Muhammad Asghar Khan Bong Jun Choi Samih M.Mostafa Department of Electrical Engineering College of Electronics and Information EngineeringSejong University209 Neungdong-roGwangjin-guSeoul05006Korea Department of Electrical and Electronic Engineering Bangladesh University of Business and TechnologyDhaka1216Bangladesh Department of Electrical&Computer Engineering University of OttawaOttawaON K1N 6N5Canada Department of Electrical Engineering Hamdard University KarachiIslamabad CampusIslamabad44000Pakistan School of Computer Science and Engineering&School of Electronic Engineering Soongsil UniversitySeoulKorea Faculty of Computers and Information South Valley UniversityQena83523Egypt Academy of Scientific Research and Technology Cairo11516Egypt

Since around 1980,a new generation of wireless technology has arisen approximately every 10 ***-generation(1G)and secondgeneration(2G)began with voice and eventually introduced more and more data in third-generation(3G)and became highly popular in the fourthgeneration(4G).To increase the data rate along with low latency and mass connectivity the fifth-generation(5G)networks are being installed from ***,the 5G technology will not be able to fulfill the data demand at the end of this ***,it is expected that 6G communication networks will rise,providing better services through the implementation of new enabling technologies and allowing users to connect everywhere.6G technology would not be confined to cellular communications networks,but would also comply with non-terrestrial communication system requirements,such as satellite *** ultimate objectives of this work are to address the major challenges of the evolution of cellular communication networks and to discourse the recent growth of the industry based on the key scopes of application and *** main areas of research topics are summarized into(i)major 6G wireless networkmilestones;(ii)key performance indicators;(iii)future new applications;and(iv)potential fields of research,challenges,and open issues.

关键词： Wireless networks beyond 5G 6G communications terahertz frequency terahertz communications holographic calls

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Pressure-dependent physical properties of cubic SrΒO3(Β=Cr,Fe)perovskites investigated by density functional theory

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Chinese Physics B 2020年第12期29卷 212-220页

作者： md Zahid Hasan md Rasheduzzaman Khandaker Monower hossain Department of Electrical and Electronic Engineering International Islamic University ChittagongKumiraChittagong-4318Bangladesh Department of Materials Science and Engineering University of RajshahiRajshahi-6205Bangladesh

We perform the first-principles investigations of the structural,elastic,electronic,and optical properties of SrBO3(B=Cr,Fe)perovskites under pressure based on density functional theory(DFT).This is the first detailed pressure-dependent study of the physical properties for these *** calculated structural parameters are consistent with the existing experimental results and slightly decrease with the application of *** mechanical properties are discussed in detail and reveal that the SrCrO3 is harder than *** pressure,these compounds behave like half-metals,confirmed by their band structure and density of *** the SrCrO3 retains its half-metallic nature under pressure,SrFeO3 becomes metallic for both up-spin and down-spin *** charge density and bond overlap population reveal the covalent nature of Cr–O bond and Fe–O bond in the studied *** optical properties of SrBO3,also discussed for the first time,reveal some interesting results.

关键词： density functional theory(DFT) effects of pressure electronic band structure optical properties

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A New Algorithm for a Condenser Design for Large-Scale Nuclear Power Plants in Tropical Region

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Journal of Thermal Science 2020年第5期29卷 1370-1389页

作者： KHAN Abid hossain ISLAM md.Shafiqul Department of Industrial and Production Engineering Jashore University of Science and TechnologyJashore 7408Bangladesh Department of Nuclear Engineering University of DhakaDhaka 1000Bangladesh

This work presents a new velocity search algorithm for designing a condenser of a 1200 MWe large-scale nuclear power plant situated in tropical *** this,the condenser pressure was considered in the range of 7.5-15 kPa while its tube inner diameter was taken as 28 mm with 1 mm tube wall *** longitudinal and transverse condensers with multiple shell tanks and varied shell tank lengths from 8-14 m have been considered in this *** different tertiary coolant temperature rises were chosen as 4°C,8°C and 12°C by considering tropical region average reservoir water temperature range of 28°C to 32°C during *** of tertiary coolant was kept within 0.75-1.5 m/s to ensure sufficient turbulence to avoid erosion-corrosion of the *** simulation has been employed to obtain tube-side pressure drop and convection heat transfer coefficient directly from tertiary coolant inlet velocity using κ-ω turbulent flow model.A new iterative“Velocity-search algorithm”has been developed that focuses on finding the correct tertiary coolant velocity instead of overall heat transfer *** revealed that velocity-search algorithm yielded very close to the important physical and thermal parameters of condenser compared to the existing design data in large scale nuclear power ***-search algorithm has given less number of condenser design physical parameters that meets the velocity acceptance criteria for longitudinal condenser compared to the transverse ***,velocity-search algorithm is found to be more reliable,robust,and consistent for condenser design compared to the conventional design algorithm used in Log-Mean Temperature Difference method.

关键词： nuclear power plant vacuum condenser velocity-search algorithm tropical region

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Insights into the physical properties and anisotropic nature of ErPdBi with an appearance of low minimum thermal conductivity

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Chinese Physics B 2021年第1期30卷 398-406页

作者： S K Mitro R Majumder K M hossain md Zahid Hasan md Emran hossain M A Hadi Bangamata Sheikh Fojilatunnesa Mujib Science and Technology University Jamalpur-2012Bangladesh Physics Discipline Khulna UniversityKhulna-9208Bangladesh Department of Materials Science and Engineering University of RajshahiRajshahi-6205Bangladesh Department of Electrical and Electronic Engineering International Islamic University ChittagongKumiraChittagong-4318Bangladesh Department of Physics University of RajshahiRajshahi6205Bangladesh

We theoretically study the structural, elastic and optical properties of Er Pd Bi together with its anisotropic behaviors using density functional theory. It is observed that Er Pd Bi satisfies the Born stability criteria nicely and possesses high quality of machinability. The anisotropic behavior of Er Pd Bi is reported with the help of theoretical anisotropy indices incorporating 3 D graphical presentation, which suggests that Er Pd Bi is highly anisotropic in nature. It is noticed that the minimum thermal conductivity is very low for Er Pd Bi compared to the several species. This low value of minimum thermal conductivity introduces the potentiality of Er Pd Bi in high-temperature applications such as thermal barrier *** addition, deep optical insights of Er Pd Bi reveal that our material can be used in different optoelectronic and electronic device applications ranging from organic light-emitting diodes, solar panel efficiency, waveguides etc. to integration of integrated circuits. Therefore, we believe that our results will provide a new insight into high-temperature applications and will benefit for the development of promising optoelectric devices as well.

关键词： Er Pd Bi minimum thermal conductivity anisotropy density functional theory(DFT)

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Enhanced aboveground biomass by increased precipitation in a central European grassland

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Ecological Processes 2018年第1期7卷 435-447页

作者： md Lokman hossain Carl Beierkuhnlein Department of Geography Hong Kong Baptist University15 Baptist University RoadKowloon TongHong Kong Global Change Ecology International Elite Study ProgrammeFaculty of BiologyChemistry and Earth SciencesUniversity of BayreuthUniversitätsstraße 3095440 BayreuthGermany Department of Environmental Protection Technology German University BangladeshGazipur 1702Bangladesh Department of Biogeography University of BayreuthUniversitätsstraße 3095440 BayreuthGermany

Background:Global climate change is projected to increase temperature and alter precipitation pattern,which could affect grassland ***-term observation at a field experiment can be a powerful approach to explore the impacts of climate change on biomass productivity in *** attempting to understand how climatic variability regulates biomass productivity,we analyzed long-term records of temperature and precipitation to examine how variation of temperature and precipitation across 19 years affect biomass ***:We established the experiment with 64 plots in two blocks and planted 31 species in 30 different *** harvested aboveground biomass twice a year,sorted biomass by functional groups,and weighed dry *** site was mown after each *** did not apply any fertilizer and *** linear regression model,we examined the influences of growing season temperature and precipitation on biomass ***:The results showed that aboveground biomass productivity in September and annual were significantly increased in post-drought(2003–2015).The relationships of aboveground biomass productivity with growing season precipitation were significantly *** results showed that aboveground biomass productivity in June and annual were sensitive to growing season *** relationships of aboveground biomass productivity of the functional group of grasses with early growing season temperature were significantly *** growing season precipitation had a significant positive effect on aboveground biomass productivity of the functional groups of grasses and ***-drought aboveground biomass productivity of the functional groups of grasses in June and September were declined,whereas legumes significantly increased,which suggests that the role of dominant grasses may shift by legumes with global climate ***:Our results highlight that early and late growing temperature and precipitat

关键词： Aboveground biomass BIODEPTH experiment Climate change Functional groups Grassland biodiversity Hay meadow Precipitation variability Temperate grassland Temperature variability

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Artificial Intelligence-Driven Vehicle Fault Diagnosis to Revolutionize Automotive Maintenance:A Review

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Computer Modeling in Engineering & Sciences 2024年第11期141卷 951-996页

作者： md Naeem hossain md Mustafizur Rahman Devarajan Ramasamy Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Automotive Engineering Center Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia

Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity ***,there is a growing demand for advanced fault diagnosis technologies to mitigate the impact of these limitations on unplanned vehicular downtime caused by unanticipated vehicle *** to vehicles’increasingly complex and autonomous nature,there is a growing urgency to investigate novel diagnosis methodologies for improving safety,reliability,and *** Artificial Intelligence(AI)has provided a great opportunity in this area,a systematic review of the feasibility and application of AI for Vehicle Fault Diagnosis(VFD)systems is ***,this review brings new insights into the potential of AI in VFD methodologies and offers a broad analysis using multiple *** focus on reviewing relevant literature in the field of machine learning as well as deep learning algorithms for fault diagnosis in engines,lifting systems(suspensions and tires),gearboxes,and brakes,among other vehicular *** then delve into some examples of the use of AI in fault diagnosis and maintenance for electric vehicles and autonomous *** review elucidates the transformation of VFD systems that consequently increase accuracy,economization,and prediction in most vehicular sub-systems due to AI ***,the limited performance of systems based on only one of these AI techniques is likely to be addressed by combinations:The integration shows that a single technique or method fails its expectations,which can lead to more reliable and versatile diagnostic *** synthesizing current information and distinguishing forthcoming patterns,this work aims to accelerate advancement in smart automotive innovations,conforming with the requests of Industry 4.0 and adding to the progression of more secure,more dependable *** findings underscored the necessity for cross-disciplinary cooperation

关键词： Artificial intelligence machine learning deep learning vehicle fault diagnosis predictive maintenance

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Recent Progress and Future Trends on the State of Charge Estimation Methods to Improve Battery-storage Efficiency: A Review

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CSEE Journal of Power and Energy Systems 2022年第1期8卷 105-114页

作者： md Ohirul Qays Yonis Buswig md Liton hossain Ahmed Abu-Siada Department of Electrical and Electrical Engineering Faculty of EngineeringUniversiti Malaysia SarawakKota SamarahanSarawakMalaysia Department of Electrical and Computer Engineering Curtin UniversityKent StreetBentleyPerth 6102WAAustralia

Battery storage systems are subject to frequent charging/discharging cycles,which reduce the operational life of the battery and reduce system reliability in the long *** such,several Battery Management Systems(BMS)have been developed to maintain system reliability and extend the battery’s operative *** estimation of the battery’s State of Charge(SOC)is a key challenge in the BMS due to its non-linear *** paper presents a comprehensive review on the most recent classifications and mathematical models for SOC *** trends for SOC estimation methods are also presented.

关键词： Battery Management System(BMS) battery modeling battery storage efficiency state of charge(SOC)

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Active Cell Balancing Control Strategy for Parallelly Connected LiFePO_(4) Batteries

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CSEE Journal of Power and Energy Systems 2021年第1期7卷 86-92页

作者： md Ohirul Qays Yonis Buswig md Liton hossain md Momtazur Rahman Ahmed Abu-Siada Department of Electrical and Electrical Engineering Faculty of EngineeringUniversity Malaysia SarawakKota SamarahanSarawakMalaysia Department of Electrical and Computer Engineering Curtin UniversityKent StreetBentleyPerth 6102WAAustralia Electron Science Research Institute Edith Cowan University270 Joondalup DriveJoondalupWA6027Australia

While several recent studies have focused on elimi-nating the imbalance of energy stored in series-connected battery cells,very little attention has been given to balancing the energy stored in parallel-connected battery *** such,this paper aims at presenting a new balancing approach for parallel LiFePO_(4) battery *** this regard,a Backpropagation Neural Network(BPNN)based technique is employed to develop a Battery Management System(BMS)that can assess the charging status of all cells and control its operations through a DC/DC Buck-Boost *** results demonstrate the effectiveness of the proposed approach in balancing the energy stored in parallel-connected battery cells in which the state of charge(SoC)estimation error is found to be only 1.15%.

关键词： Active cell balancing battery management system DC/DC buck-boost converter state of charge estimation

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Recent advancements in graphene adsorbents for wastewater treatment:Current status and challenges

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Chinese Chemical Letters 2020年第10期31卷 2525-2538页

作者： md Faysal hossain Nasrin Akther Yanbo Zhou State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and TechnologyShanghai 200237China National Engineering Laboratory for Industrial Wastewater Treatment East China University of Science and TechnologyShanghai 200237China

From emerging pollutants to emerged threat,researchers are continuously looking for promising technologies for wastewater *** has been identified as the most convenient approach for treating wastewater at low-cost and with ***,graphene and its derivatives have gained heightened attention as novel adsorbents because of their unique molecular structure and outstanding physicochemical *** metals,dyes,polycyclic aromatic hydrocarbons(PAHs)and other pollutants,which are widely concerned recently,all show different adsorption *** functional groups,resonating and delocalizedπ-electron system of graphene derivatives lead to the formation of various adsorptive interactions i.e.,π-πinteractions,electrostatic interactions,Hbonding,*** these venomous pollutants,and quarantine them in *** pristine form of graphene subsidiaries tends to exhibit low sorption efficiency due to high propensity of agglomeration,lack of selectivity,hydrophobicity and difficulty in phase separation a fter ***,designing of efficient graphene composites through the surface modification with numerous functional groups,polymers or nanoparticles is an ongoing *** graphene composites are increasingly reported,but the fate of pollutants and adsorption mechanisms are still far to be fully *** review summarizes the recent progresses in the application of graphene-based adsorbents for eliminating a wide range of organic and inorganic pollutants from wastewater.A critical explanation is provided on the synthesis of graphene adsorbents,systematic adsorption and desorption mechanisms along with their pollutant removal performances under different experimental conditions.A brief perspective on upcoming research needs and challenges involved in the designing of high-quality graphene-based adsorbents are highlighted.

关键词： Wastewater Adsorption Graphene composites Interaction mechanism Regeneration

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An evolutionary computational framework for capacity-safety trade-off in an air transportation network

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Chinese Journal of Aeronautics 2019年第4期32卷 999-1010页

作者： md.Murad hossain Sameer ALAM Daniel DELAHAYE School of Engineering and Information Technology University of New South Wales School of Mechanical and Aerospace Engineering Nanyang Technological University MAIAA Laboratory Ecole Nationale de l'Aviation Civile

Airspace safety and airport capacity are two key challenges to sustain the growth in Air Transportation. In this paper, we model the Air Transportation Network as two sub-networks of airspace and airports, such that the safety and capacity of the overall Air Transportation network emerge from the interaction between the two. We propose a safety-capacity trade-off approach,using a computational framework, where the two networks can inter-act and the trade-off between capacity and safety in an Air Transport Network can be established. The framework comprise of an evolutionary computation based air traffic scenario generation using a flow capacity estimation module(for capacity), Collision risk estimation module(for safety) and an air traffic simulation module(for evaluation). The proposed methodology to evolve air traffic scenarios such that it minimizes collision risk for given capacity estimation was tested on two different air transport network topologies(random and small-world) with the same number of airports. Experimental results indicate that though airspace collision risk increases almost linearly with the increasing flow(flow intensity) in the corresponding airport network, the critical flow depend on the underlying network configuration. It was also found that, in general, the capacity upper bound depends not only on the connectivity among airports and their individual performances but also the configuration of waypoints and mid-air interactions among conflicts. Results also show that airport network can accommodate more traffic in terms of capacity but the corresponding airspace network cannot accommodate the resulting traffic flow due to the bounds on collision risk.

关键词： Airport network Airspace capacity Airspace safety Collision risk Flow intensity

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