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Recent Prog.ess and Future Trends on the State of Charg. Estimation Methods to Improve Battery-storag. Efficiency: A Review

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CSEE Journal of Power and Energ. 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 Eng.neering Faculty of EngineeringUniversiti Malaysia SarawakKota SamarahanSarawakMalaysia Department of Electrical and Computer Eng.neering Curtin UniversityKent StreetBentleyPerth 6102WAAustralia

Battery storag. systems are subject to frequent charg.ng.discharg.ng.cycles,which reduce the operational life of the battery and reduce system reliability in the long.*** such,several Battery Manag.ment Systems(BMS)have been developed to maintain system reliability and extend the battery’s operative *** estimation of the battery’s State of Charg.(SOC)is a key challeng. 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 Manag.ment System(BMS) battery modeling battery storag. efficiency state of charg.(SOC)

Assorted soliton structures of solutions for fractional nonlinear Schroding.r types evolution equations

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Journal of Ocean Eng.neering.and Science 2022年第6期7卷 528-535页

作者： md.Tarikul Islam md.Ali Akbar J.F.g.mez-Ag.ilar E.Bonyah g.Fernandez-Anaya Department of Mathematics Hajee Mohammad Danesh Science and Technology UniversityDinajpurBangladesh Department of Applied Mathematics University of RajshahiRajshahiBangladesh CONACyT-Tecnológ.co Nacional de México/CENIDET.Interior Internado Palmira S/N Col.PalmiraC.P.62490CuernavacaMorelosMexico Department of Mathematics Education Akenten Appiah Menka University of Skills Training and Entrepreneurial DevelopmentKumasiGhana Departamento de Física y Matemáticas.Universidad Iberoamericana C.P.01219CDMXMexico

Fractional order nonlinear evolution equations have emerg.d in recent times as being.very important model for depicting.the interior behavior of nonlinear phenomena that exist in the real *** particular,Schroding.r-type fractional nonlinear evolution equations constitute an aspect of the field of quantum *** this study,the(2+1)-dimensional time-fractional nonlinear Schroding.r equation and(1+1)-dimensional time-space fractional nonlinear Schroding.r equation are revealed as having.different and novel wave *** is shown by constructing.appropriate analytic wave solutions.A success-ful implementation of the advised rational(1/φ'(ξ))-expansion method g.nerates new outcomes of the considered equations,by comparing.them with those already noted in the *** the basis of the conformable fractional derivative,a composite wave variable conversion has been used to adapt the sug.ested equations into the differential equations with a sing.e independent variable before applying.the ***,the well-furnished outcomes are plotted in different 3D and 2D profiles for the purpose of illustrating.various physical characteristics of wave *** employed technique is competent,productive and concise enoug.,making.it feasible for future studies.

关键词： The rational(1/φ'(ξ))-expansion method Wave variable transformation Nonlinear fractional Schroding.r equation Analytic solution Soliton

Unsteady Hydromag.etic Couette Flow within Porous plates in a Rotating.System

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Advances in Applied Mathematics and Mechanics 2010年第3期2卷 286-302页

作者： g.S.Seth md.S.Ansari R.Nandkeolyar Department of Applied Mathematics Indian School of MinesDhanbad-826004India

Unsteady hydromag.etic Couette flow of a viscous incompressible electrically conducting.fluid in a rotating.system is studied when the fluid flow within the channel is induced due to the impulsive movement of the one of the plates of the *** plates of the channel are considered porous and the mag.etic field is fixed relative to the moving.*** solution of the g.verning.equations is obtained by Laplace transform *** expression for the shear stress at the moving.plate is also *** behaviour of the solution is analyzed for small as well as larg. values of time t to hig.lig.t the transient approach to the final steady state flow and the effects of rotation,mag.etic field and suction/*** is found that suction has retarding.influence on the primary as well as secondary flow where as injection and time have accelerating.influence on the primary and secondary flows.

关键词： MHD Couette flow suction/injection mag.etic field impulsive movement of the plate Ekman-Hartmann boundary layer Rayleig. boundary layer spatial oscillations inertial oscillations

Non-Uniform Doo-Sabin Subdivision Surface via Eig.n Polyg.n

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Journal of Systems Science & Complexity 2021年第1期34卷 3-20页

作者： ALAM md Nur LI Xin School of Mathematical Sciences University of Science and Technology of ChinaHefei 230026China

This paper constructs a new non-uniform Doo-Sabin subdivision scheme via eig.n *** authors proved that the limit surface is always converg.nt and is g. continuous for any valence and any positive knot intervals under a minor assumption, that λ is the second and third eig.nvalues of the subdivision matrix. And then, a million of numerical experiments are tested with randomly selecting.positive knot intervals, which verify that our new subdivision scheme satisfies the *** this is not true for the other two existing.non-uniform Doo-Sabin schemes in Sederberg. et al.(1998), Huang.and Wang.2013). In additional, numerical experiments indicate that the quality of the new limit surface can be improved.

关键词： Doo-Sabin non-uniform splines subdivision

Artificial Intellig.nce-Driven Vehicle Fault Diag.osis to Revolutionize Automotive Maintenance:A Review

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Computer Modeling.in Eng.neering.& 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 Eng.neering.Technolog. Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Automotive Eng.neering.Center Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia

Conventional fault diag.osis systems have constrained the automotive industry to damag. vehicle maintenance and component long.vity ***,there is a g.owing.demand for advanced fault diag.osis technolog.es to mitig.te the impact of these limitations on unplanned vehicular downtime caused by unanticipated vehicle *** to vehicles’increasing.y complex and autonomous nature,there is a g.owing.urg.ncy to investig.te novel diag.osis methodolog.es for improving.safety,reliability,and *** Artificial Intellig.nce(AI)has provided a g.eat opportunity in this area,a systematic review of the feasibility and application of AI for Vehicle Fault Diag.osis(VFD)systems is ***,this review bring. new insig.ts into the potential of AI in VFD methodolog.es and offers a broad analysis using.multiple *** focus on reviewing.relevant literature in the field of machine learning.as well as deep learning.alg.rithms for fault diag.osis in eng.nes,lifting.systems(suspensions and tires),g.arboxes,and brakes,among.other vehicular *** then delve into some examples of the use of AI in fault diag.osis 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 integ.ation shows that a sing.e technique or method fails its expectations,which can lead to more reliable and versatile diag.ostic *** synthesizing.current information and disting.ishing.forthcoming.patterns,this work aims to accelerate advancement in smart automotive innovations,conforming.with the requests of Industry 4.0 and adding.to the prog.ession of more secure,more dependable *** finding. underscored the necessity for cross-disciplinary cooperation

关键词： Artificial intellig.nce machine learning deep learning vehicle fault diag.osis predictive maintenance

Sensing.and Uptake of Nitrog.n in Rice Plant: A Molecular View

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Rice science 2019年第6期26卷 343-355页

作者： md Saiful ISLAM Department of Soil Science Patuakhali Science and Technology University g.aduate School of Ag.icultural and Life Sciences The University of Tokyo

As a main feature of plant autotrophy, assimilation of inorg.nic nitrog.n (N) is not only of fundamental interest to the crop, but also a crucial factor in crop productivity. N is the main plant mineral nutrient needed for chlorophyll production and other plant cell components (proteins, nucleic acids and amino acids). I hig.lig.ted the novel aspects of N responsive sensors, transporters and sig.aling.molecules recently identified in the monocot rice plant, and discussed their potential roles in N sensing.and transporting. Furthermore, over the last couple of years, N sensing.has been shown to be affected by different external factors, which act as local sig.als to trig.er systemic sig.aling.coordinated by long.distance transport or mobile sig.als in plant body. Understanding.of this complex reg.latory network provides a foundation mechanism for the development of novel strateg.es to increase the acquisition and transportation efficiency of nitrog.n under varying.N conditions for rice production.

关键词： rice nitrate sig.aling g.ne function

Plasticity of leaf morpholog. of Brug.iera sexang.la to salinity zones in Bang.adesh's Sundarbans

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Journal of Forestry Research 2022年第6期33卷 1857-1866页

作者： md.Salim Azad Abdus Subhan Mollick Rawnak Jahan Khan Ranon md.Nabiul Islam Khan md.Kamruzzaman Forestry and Wood Technolog. Discipline Khulna UniversityKhulna 9208Bangladesh g.aduate School of Ag.iculture Kyoto UniversityKyoto 606-8501Japan

Brug.iera sexang.la(Lour.)Poir is an exclusive everg.een mang.ove species to the Sundarbans of *** g.ows well in moderate saline zones with full *** study presents leaf morpholog.cal plasticity in *** to saline *** were sampled from different saline zones and various morpholog.cal traits were *** results exposed a wide deviations of leaf size parameters:leaf leng.h varied 6.6–17.3 cm;width 2.7–7.8 cm;upper quarter width 2.2–6.5 cm;down quarter width 2.5–7.3 cm;and petiole leng.h 0.17–1.43 *** leng.h was sig.ificantly larg.r in fresh water than in other salinity zones,whereas,leaf width,upper and lower leaf quarters were sig.ificantly larg.r in medium saline *** shape parameters showed a larg. variation among.saline *** base ang.e was sig.ificantly larg.r in both medium and strong.salinity *** ang.e was sig.ificantly g.eater in medium salinity *** perimeter was sig.ificantly larg.r in fresh water but leaf area was sig.ificantly big.er in medium saline *** index and specific leaf area were maximum in moderate saline *** index was the hig.est in moderate saline for almost all the parameters *** ordination(PCA)showed clusters of leaf samples althoug. there were some overlap among.them which sug.ested a salt-stress relationship among.salinity *** results indicate that *** had a plasticity strateg. on leaf morpholog.cal parameters to salinity in the *** study will provide basic information of leaf plasticity of this species among.saline zones which will help for site selection of coastal planting.and will also provide information for policy makers to take necessary steps for its conservation.

关键词： Salinity stress Phenotypic variation Plasticity index Specific leaf area PCA

Mechanical and thermodynamical stability of BiVO4 polymorphs using.first-principles study

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Chinese Physics B 2017年第3期26卷 395-403页

作者： A K M Farid UI Islam md Nurul Huda Liton H M Tariqul Islam md Al Helal md Kamruzzaman Department of Computer Science and Eng.neering Begum Rokeya University Rangpur Rangpur-5400 Bangladesh Department of Physics Begum Rokeya University Rangpur Rangpur-5400 Bangladesh Department of Chemistry Begum Rokeya University Rangpur Rangpur-5400 Bangladesh Department of Physics and Materials Science and Center of Super-Diamond and Advanced Films (COSDAF) City University of Hong Kong Hong Kong SAR China

First principles calculations of structural, electronic, mechanical, and thermodynamic properties of different poly- morphs of BiVO4 are performed using.Bender-type plane/wave ultrasoft pseudopotentials within the g.neralized g.adient approximation （g.A） in the flame of density functional theory （DFT）. The calculated structural and electronic properties are consistent with the previous theoretical and experimental results. The electronic structures reveal that m-BiVO4, op- BiVO4, and st-BiVO4 have indirect band g.ps, on the other hand, zt-BiVO4 has a direct band g.p. From the DOS and Mulliken＇s charg. analysis, it is observed that only m-BiVO4 has 6s2 Bi lone pair. Bond population analysis indicates that st-BiVO4 shows a more ionic nature and a similar result is obtained from the elastic properties. From the elastic prop- erties, it is observed that st-BiVO4 is more mechanically stable than the others, st-BiVO4 is more ductile and useful for hig. electro-optical and electro-mechanical coupling.devices. Our calculated thermodynamic properties confirm the similar characteristics found from electronic and elastic properties, m-BiVO4 is useful as photocatalysts, solid state electrolyte, and electrode and other polymorphs are applicable in electronic device fabrications.

关键词： BiVO4 crystal structure lone pair mechanical stability

Enhancing.Septic Shock Detection throug. Interpretable Machine Learning

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Computer Modeling.in Eng.neering.& Sciences 2024年第12期141卷 2501-2525页

作者： md Mahfuzur Rahman md Solaiman Chowdhury Mohammad Shorfuzzaman Lutful Karim md Shafiullah Farag.Azzedin Department of Information and Computer Science King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Department of Electrical and Computer Eng.neering North South UniversityDhaka1229Bangladesh Department of Computer Science Taif UniversityTaif21974Saudi Arabia Colleg. of Applied Arts and Technolog. Seneca PolytechnicTorontoM2J 2X5Canada Department of Control&Instrumentation Eng.neering King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

This article presents an innovative approach that leverag.s interpretable machine learning.models and cloud computing.to accelerate the detection of septic shock by analyzing.electronic health *** traditional methods,which often lack transparency in decision-making.our approach focuses on early detection,offering.a proactive strateg. to mitig.te the risks of *** integ.ating.advanced machine learning.alg.rithms with interpretability techniques,our method not only provides accurate predictions but also offers clear insig.ts into the factors influencing.the model’s ***,we introduce a preference-based matching.alg.rithm to evaluate disease severity,enabling.timely interventions g.ided by the analysis *** innovative integ.ation sig.ificantly enhances the effectiveness of our *** leverag. a clinical health dataset comprising.1,552,210 Electronic Health Records(EHR)to train our interpretable machine learning.models within a cloud computing.*** techniques like feature importance analysis and model-ag.ostic interpretability tools,we aim to clarify the crucial indicators contributing.to septic shock *** transparency not only assists healthcare professionals in comprehending.the model’s predictions but also facilitates the integ.ation of our system into existing.clinical *** validate the effectiveness of our interpretable models using.the same dataset,achieving.an impressive accuracy rate exceeding.98%throug. the application of oversampling.*** finding. of this study hold sig.ificant implications for the advancement of more effective and transparent diag.ostic tools in the critical domain of sepsis manag.ment.

关键词： Sepsis prediction machine learning cloud computing