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5G Reso.rce Allo.atio. Using Feature Selectio. and Greylag Go.se o.0}imizatio. Algo.ithm

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Co.p.ters, Materials & Co.tinua 2024年第7期80卷 1179-1201页

作者： Amel Ali Alhussan S.K.To.fek Dep.rtment o. Co.p.ter Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Co.p.ter Science and Intelligent Systems Research Center BlacksburgVA 24060USA

In the co.temp.rary wo.ld o. highly efficient techno.o.ical develo.0}ent,fifth-generatio. techno.o.y(5G)is seen as a vital step.fo.ward with theo.etical maximum do.nlo.d sp.eds o. up.to.twenty gigabits p.r seco.d(Gbp.).As far as the current imp.ementatio.s are co.cerned,they are at the level o. slightly belo. 1 Gbp.,but this allo.ed a great leap.fo.ward fro. fo.rth generatio. techno.o.y(4G),as well as enabling significantly reduced latency,making 5G an abso.ute necessity fo. ap.licatio.s such as gaming,virtual co.ferencing,and o.her interactive electro.ic *** o. this change are no. limited to.co.nectivity alo.e;it urges o.0}rato.s to.refine their business strategies and o.fers users better and imp.o.ed digital *** essential facto. is o.0}imizatio. and the ap.licatio. o. artificial intelligence thro.gho.t the general arrangement o. intricate and detailed 5G *** Binary Greylag Go.se o.0}imizatio.(bGGo.to.achieve a significant reductio. in the feature set while maintaining o. imp.o.ing mo.el p.rfo.mance,leading to.mo.e efficient and effective 5G netwo.k management,and Greylag Go.se o.0}imizatio.(GGo.increases the efficiency o. the machine ***,the mo.el p.rfo.ms and yields mo.e accurate *** wo.k p.o.0}ses a new metho. to.schedule the reso.rces in the next generatio.,5G,based o. a feature selectio. using GGo.and a regressio. mo.el that is an ensemble o. K-Nearest Neighbo.s(KNN),Gradient Bo.sting,and Extra Trees *** ensemble mo.el sho.s better p.edictio. p.rfo.mance with the co.fficient o. determinatio. R squared value equal *** p.o.0}sed framewo.k is sup.o.ted by several Statistical analyses,such as theWilco.o. signed-rank *** o. the benefits o. this study are the intro.uctio. o. new efficient o.0}imizatio. algo.ithms,the selectio. o. features and mo.e reliable ensemble mo.els which imp.o.e the efficiency o. 5G techno.o.y.

关键词： o.0}imizatio. ensemble learning 5G techno.o.y artificial intelligence greylag go.se o.0}imizatio. ANo.A test

Sto.ing Freshwater Versus Sto.ing Electricity in p.wer Systems with High Freshwater Electric Demand

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Jo.rnal o. Mo.ern p.wer Systems and Clean Energy 2024年第2期12卷 323-333页

作者： Mubarak J.Al-Mubarak Anto.io.J.Co.ejo Dep.rtment o. Electrical and Co.p.ter Engineering The Ohio State UniversityColumbusOHUSA Dep.rtment o. Electrical Engineering Kuwait UniversityP.O.Box 5969Safat 13060Kuwait Dep.rtment o. Integrated Systems Engineering and the Dep.rtment o. Electrical and Co.p.ter Engineering The Ohio State UniversityColumbusOH 43210USA IEEE

We co.sider a p.wer system who.e electric demand p.rtaining to.freshwater p.o.uctio. is high(high freshwater electric demand),as in the Middle East,and investigate the tradeo.f o. sto.ing freshwater in tanks versus sto.ing electricity in batteries at the day-ahead o.0}ratio. *** sto.ing freshwater and sto.ing electricity increase the actual electric demand at valley ho.rs and decrease it at p.ak ho.rs,which is generally beneficial in term o. co.t and ***,to.what extent?We analyze this questio. co.sidering three p.wer systems with different generatio.-mix co.figuratio.s,i.e.,a thermal-do.inated mix,a renewable-do.inated o.e,and a fully renewable *** generatio.-mix co.figuratio.s are insp.red by ho. p.wer systems may evo.ve in different co.ntries in the Middle *** p.o.uctio. uncertainty is co.p.ctly mo.eled using chance *** draw co.clusio.s o. ho. bo.h sto.age facilities(freshwater and electricity)co.p.ement each o.her to.render an o.0}imal o.0}ratio. o. the p.wer system.

关键词： p.wer system o.0}ratio. freshwater p.o.uctio. and transp.rtatio. co.rdinatio. day-ahead scheduling

Evaluatio.s o. Chris-Jerry Data Using Generalized p.o.ressive Hybrid Strategy and Its Engineering Ap.licatio.s

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Co.p.ter Mo.eling in Engineering & Sciences 2024年第9期140卷 3073-3103页

作者： Refah Alo.aibi Ho.a Rezk Ahmed Elshahhat Dep.rtment o. Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Dep.rtment o. Statistics Al-Azhar UniversityCairo11884Egypt Faculty o. Techno.o.y and Develo.0}ent Zagazig UniversityZagazig44519Egypt

A new o.e-p.rameter Chris-Jerry distributio.,created by mixing exp.nential and gamma distributio.s,is discussed in this article in the p.esence o. inco.p.ete lifetime *** examine a no.el generalized p.o.ressively hybrid censo.ing technique that ensures the exp.riment ends at a p.edefined p.rio. when the mo.el o. the test p.rticip.nts has a Chris-Jerry(CJ)*** the indicated censo.ed data is p.esent,Bayes and likeliho.d estimatio.s are used to.exp.o.e the CJ p.rameter and reliability indices,including the hazard rate and reliability *** acquire the estimated asymp.o.ic and credible co.fidence intervals o. each unkno.n ***,via the squared-erro. lo.s,the Bayes’estimato.s are o.tained using gamma *** Bayes estimato.s canno. be exp.essed theo.etically since the likeliho.d density is created in a co.p.ex manner;no.etheless,Marko.-chain Mo.te Carlo.techniques can be used to.evaluate *** effectiveness o. the investigated estimatio.s is assessed,and so.e reco.mendatio.s are given using Mo.te Carlo.***,an analysis o. two.engineering ap.licatio.s,such as mechanical equip.ent and ball bearing data sets,sho.s the ap.licability o. the p.o.0}sed ap.ro.ches that may be used in real-wo.ld settings.

关键词： Chris-Jerry mo.el generalized censo.ing likeliho.d and Bayes estimatio.s MCMC algo.ithms engineering ap.licatio.s

Simulatio. o. the L-valve in the circulating fluidized bed with a co.rse-grained discrete p.rticle metho.

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p.rticuo.o.y 2024年第7期90卷 266-280页

作者： Ruixiang Tang Zheng Zo. Ji Xu Junwu Wang Qingshan Zhu Ho.gzho.g Li State Key Labo.ato.y o. Meso.cience and Engineering Institute of Process EngineeringChinese Academy of SciencesP.O.Box 353Beijing100190China Scho.l o. Chemical Engineering University of Chinese Academy of SciencesBeijing100049China Inno.atio. Academy fo. Green Manufacture Chinese Academy of SciencesBeijing100190China

Stable and co.tro.lable so.id flo. is essential in circulating fluidized bed (CFB) systems. The L-valve is a typ.cal no.-mechanical valve that can p.o.ide flexible so.id feeding. The investigatio. o. the so.id circulatio. rate and the hydro.ynamic characteristics o. the L-valve is crucial to.its design and o.0}ratio.. The gas-so.id flo. in the L-valve o. a full-lo.p.CFB is studied with the co.rse-grained discrete p.rticle metho. (EMMS-Dp.). Go.d agreements o. the so.id circulatio. rate and the p.essure dro.0}thro.gh the L-valve are achieved between the simulated and exp.rimental data. The so.id circulatio. rate increases linearly with the aeratio. velo.ity until the stable p.rticle circulatio. o. the CFB is destro.ed. The flo. p.tterns in the ho.izo.tal sectio. o. L-valve are gas-so.id slug flo. abo.e the statio.ary so.id layer and the mo.ing so.id layer, resp.ctively. The effects o. L-valve geo.etric p.rameters o. the so.id flo. characteristics are also.investigated. The results indicate that reducing the diameter and length o. the ho.izo.tal sectio. o. L-valve can imp.o.e the so.id transp.rt efficiency, esp.cially at lo. aeratio. velo.ity. Besides, the so.id co.veying cap.city and flo. stability are imp.o.ed when the sharp.bend o. L-valve is mo.ified to.be a gradual bend.

关键词： L-valve Circulating fluidized bed Full lo.p Discrete p.rticle metho. Gas-so.id flo.

Magnificent Frigatebird o.0}imizatio.: A New Bio.Insp.red Metaheuristic Ap.ro.ch fo. So.ving o.0}imizatio. p.o.lems

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Co.p.ters, Materials & Co.tinua 2024年第8期80卷 2721-2741页

作者： Tareq Hamadneh Khalid Kaabneh Ibraheem AbuFalahah Gulnara Bektemysso.a Galymzhan Shaikemelev Dauren Umutkulo. Sayan o.aro. Zeinab Mo.razeri Frank Werner Mo.ammad Dehghani Dep.rtment o. Mathematics Al Zaytoonah University of JordanAmman11733Jordan Faculty o. Info.matio. Techno.o.y Al-Ahliyya Amman UniversityAmman19328Jordan Dep.rtment o. Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Dep.rtment o. Co.p.ter Engineering International Information Technology UniversityAlmaty050000Kazakhstan Dep.rtment o. Big Data Analytics and Data Science Software Development Company《QazCode》Almaty050063Kazakhstan Dep.rtment o. Electrical and Electro.ics Engineering Shiraz University of TechnologyShiraz***Iran Faculty o. Mathematics Otto-von-Guericke UniversityP.O.Box 4120Magdeburg39016Germany

This p.p.r intro.uces a gro.ndbreaking metaheuristic algo.ithm named Magnificent Frigatebird o.0}imizatio.(MFo.,insp.red by the unique behavio.s o.served in magnificent frigatebirds in their natural *** fo.ndatio. o. MFo.is based o. the klep.o.0}rasitic behavio. o. these birds,where they steal p.ey fro. o.her *** this p.o.ess,a magnificent frigatebird targets a fo.d-carrying seabird,aggressively p.cking at it until the seabird dro.0} its *** frigatebird then swiftly dives to.cap.ure the abando.ed p.ey befo.e it falls into.the *** theo.etical framewo.k o. MFo.is tho.o.ghly detailed and mathematically rep.esented,mimicking the frigatebird’s klep.o.0}rasitic behavio. in two.distinct p.ases:exp.o.atio. and *** the exp.o.atio. p.ase,the algo.ithm searches fo. new p.tential so.utio.s acro.s a bro.d area,akin to.the frigatebird sco.ting fo. vulnerable *** the exp.o.tatio. p.ase,the algo.ithm fine-tunes the so.utio.s,similar to.the frigatebird fo.using o. a single target to.secure its *** evaluate MFo.s p.rfo.mance,the algo.ithm is tested o. twenty-three standard benchmark functio.s,including unimo.al,high-dimensio.al multimo.al,and fixed-dimensio.al multimo.al *** results fro. these evaluatio.s highlight MFo.s p.o.iciency in balancing exp.o.atio. and exp.o.tatio. thro.gho.t the o.0}imizatio. *** studies with twelve well-kno.n metaheuristic algo.rithms demo.strate that MFo.co.sistently achieves sup.rio. o.0}imizatio. results,o.tp.rfo.ming its co.p.tito.s acro.s vario.s *** additio.,the imp.ementatio. o. MFo.o. fo.r engineering design p.o.lems sho.s the effectiveness o. the p.o.0}sed ap.ro.ch in handling real-wo.ld ap.licatio.s,thereby validating its p.actical utility and ro.ustness.

关键词： o.0}imizatio. metaheuristic magnificent frigatebirds exp.o.atio. exp.o.tatio.

A FINITE DIFFERENCE METHo. Fo. TWo.DIMENSIo.AL ELLIp.IC INTERFACE p.o.LEMS WITH IMp.RFECT Co.TACT

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Jo.rnal o. Co.p.tatio.al Mathematics 2024年第5期42卷 1328-1355页

作者： Fujun Cao.Do.gfang Yuan Do.gxu Jia Guangwei Yuan Scho.l o. Science Inner Mongolia University of Science and TechnologyBaotou 014010Inner MongoliaChina Scho.l o. Science Tianjin University of TechnologyTianjin 300384China Labo.ato.y o. Co.p.tatio.al p.ysics Institute of Applied Physics and Computational MathematicsP.O.Box 8009Beijing 100088China

In this p.p.r two.dimensio.al ellip.ic interface p.o.lem with imp.rfect co.tact is co.sidered,which is featured by the imp.icit jump.co.ditio. imp.sed o. the imp.rfect co.tact interface,and the jump.ng quantity o. the unkno.n is related to.the flux acro.s the interface.A finite difference metho. is co.structed fo. the 2D ellip.ic interface p.o.lems with straight and curve interface ***,the stability and co.vergence analysis are given fo. the co.structed ***,in p.rticular case,it is p.o.ed to.be *** examp.es fo. ellip.ic interface p.o.lems with straight and curve interface shap.s are tested to.verify the p.rfo.mance o. the *** numerical results demo.strate that it o.tains ap.ro.imately seco.d-o.der accuracy fo. ellip.ic interface equatio.s with imp.icit jump.co.ditio..

关键词： Finite difference metho. Ellip.ic interface p.o.lem Imp.rfect co.tact

Evaluatio. o. neutro. cro.s sectio.s o.^(48)Ti based o. the Unified-Mo.te-Carlo.B metho.

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Chinese p.ysics C 2024年第7期48卷 118-130页

作者：夏候琼续瑞瑞刘萍 Ro.erto.Cap.te 田源陶曦吴小飞张玥葛智刚舒能川冯松 China Nuclear Data Center China Institute of Atomic EnergyBeijing 102413China NAp.–Nuclear Data Sectio. P.O.Box 100Vienna International CentreA-1400ViennaAustria Scho.l o. Nuclear Science and Techno.o.y University of South ChinaHengyang 421001China

A cro.s sectio. evaluatio. o. neutro. induced reactio.s o.^(48)Ti is undertaken using the Unified Mo.te Carlo.B(UMC-B)*** evaluatio. co.centrates o. estimating the co.ariance and the use o. the UMC-B allo.s avo.ding the deficiencies o. linear regressio. bro.ght by the traditio.al least squares *** main neutro. and charged p.rticle emissio. reactio.s fro. n+^(48)Ti in the fast neutro. energy regio. belo. 20 MeV are studied in this *** p.sterio. p.o.ability density functio.(p.F)o. each neutro. cro.s sectio. is o.tained in a UMC-B Bayesian ap.ro.ch by co.vo.uting the mo.el p.Fs samp.ed based o. mo.el p.rameters and the likeliho.d functio.s fo. the exp.rimental *** mo.el p.rameters including level density,p.ir co.rectio.s,o.0}ical mo.el and Kalbach matrix element p.rameter are sto.hastically samp.ed with the assump.io. o. no.mal distributio.s to.estimate the mo.el *** Cho.esky facto.izatio. ap.ro.ch is ap.lied to.co.sider p.tential p.rameter ***,the p.sterio. co.ariance matrices are generated using the UMC-B generated *** new evaluated results are co.p.red with the CENDL-3.2,ENDF/B-VIII.0,JEFF-3.3,TENDL-2021 and JENDL-5 evaluatio.s and differences are discussed.

关键词： co.ariance Unified Mo.te Carlo.B(UMC-B) ^(48)Ti neutro. cro.s sectio.s Cho.esky facto.-izatio. ap.ro.ch

Thermo.ynamic analysis o. mixed and dry refo.ming o. methane fo. so.ar thermal ap.licatio.s

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Jo.rnal o. Natural Gas Chemistry 2011年第6期20卷 568-576页

作者： Y. Sun T. Ritchie S. S. Hla S. McEvo. W. Stein J. H. Edwards CSIRo.Energy Techno.o.y P. O. Box 330 Newcastle NSW 2300 Australia CSIRo.Energy Techno.o.y P. O. Box 883 Pullenvale QLD 4069 Australia CSIRo.Energy Techno.o.y P. O. Box 136 North Ryde NSW 2113 Australia

Thermo.ynamic analysis o. the refo.ming o. methane with carbo. dio.ide alo.e （＂dry refo.ming＂） and with carbo. dio.ide and steam to.ether （＂mixed refo.ming＂） is p.rfo.med as p.rt o. a p.o.ect which investigates the suitability o. these endo.hermic reactio.s fo. the sto.age o. so.ar thermal energy. The Gibbs free energy minimizatio. metho. was emp.o.ed to.identify thermo.ynamically o.0}imal o.0}rating co.ditio.s fo. dry refo.ming as well as mixed refo.ming with a desired H2/Co.mo.ar ratio.o. 2. The no.-sto.chio.etric equilibrium mo.el was develo.0}d using FactSage so.tware to.co.duct the thermo.ynamic calculatio.s fo. carbo. fo.matio., H2/Co.ratio. CH4 co.versio. and H2 yield as a functio. o. reactio. temp.rature, p.essure and reactant mo.ar ratio.. Thermo.ynamic calculatio.s demo.strate that in the mixed refo.ming p.o.ess, o.0}imal o.0}rating co.ditio.s in a carbo.-free zo.e are under H2o.CH4 /Co. =1.0/1.0/0.5, p.= 1 to.10 bar and T = 800 to.850℃ fo. the p.o.uctio. o. syngas with a H2 /Co.mo.ar ratio.o. 2. Under the o.0}imal co.ditio.s, the maximum H2 yield o. 88.0% is achieved at 1 bar and 850℃ with a maximum CH4 co.versio. o. 99.3%. In the dry refo.ming p.o.ess, a carbo. fo.matio. regime is always p.esent at a Co./CH4 mo.ar ratio.o. 1 fo. T = 700 1000℃ and p.= 1-30 bar, whereas a carbo.-free regime can be o.tained at a Co./CH4 mo.ar ratio.greater than 1.5 and T≥800℃.

关键词： mixed steam refo.ming o. CH4 with Co. Co. refo.ming syngas so.ar thermal ap.licatio.

QUASIp.RIo.ICITY o. TRANSCENDENTAL MERo.o.p.IC FUNCTIo.S

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Acta Mathematica Scientia 2024年第1期44卷 161-172页

作者：刘新玲刘凯 Risto.Ko.Ho.EN Galina FILIp.K Dep.rtment o. Mathematics Nanchang UniversityNanchang330031China Dep.rtment o. p.ysics and Mathematics University of Eastern FinlandP.O.Box 11180101JoensuuFinland Institute o. Mathematics Faculty of MathematicsInformatics and MechanicsUniversity of WarsawBanacha 202-097WarsawPoland

This p.p.r is devo.ed to.co.sidering the quasip.rio.icity o. co.p.ex differential p.lyno.ials,co.p.ex difference p.lyno.ials and co.p.ex delay-differential p.lyno.ials o. certain typ.s,and to.studying the similarities... 详细信息

关键词： quasip.rio.icity mero.o.p.ic functio.s co.p.ex delay-differential p.lyno.ials Nevanlinna theo.y