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Mathematical modeling and s.mulations.of s.res. mitigation by coating polycrys.alline particles.in lithium-ion batteries

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Applied Mathematics.and Mechanics.Englis. Edition) 2024年第6期45卷 947-962页

作者： N.IQbaL J.CHOI s.F.s.0}H C.LEE s.LEE Department of Mechanical Roboticsand Energy EngineeringDongguk University-SeoulSeoul 04620Republic of Korea

A chemo-mechanical model is.developed to inves.igate the effects.on the s.res. development of the coating of polycrys.alline Ni-rich LiNixMnyCo_(z)O_(2)(x≥0.8)(NMC)particles.with poly(3,4-ethylenedioxythiophene)(PEDOT).The s.mulation res.lts.s.ow that the coating of primary NMC particles.s.gnificantly reduces.the s.res. generation by efficiently accommodating the volume change as.ociated with the lithium diffus.on,and the coating layer plays.roles.both as.a cus.ion agains. the volume change and a channel for the lithium trans.ort,promoting the lithium dis.ribution acros. the s.condary particles.more ***,the lower s.iffnes.,higher ionic conductivity,and larger thicknes. of the coating layer improve the s.res. *** paper provides.a mathematical framework for calculating the chemo-mechanical res.ons.s.of anis.tropic electrode materials.and fundamental ins.ghts.into how the coating of NMC active particles.mitigates.s.res. levels.

关键词： lithium-ion battery(LIB) polycrys.alline particle coating finite element s.mulation Ni-rich LiNixMnyCo_(z)O_(2)(x>0.8)(NMC)

Artificial Intelligence ChatGPT’s.Pers.ective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative s.nthes.s.

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Intelligent Information Management 2024年第1期16卷 10-20页

作者： Neil Capes.Hiran Patel Is.am s.rhan Gur-Aziz s. s.dhu Neil As.wood Andrew Dekker Department of Trauma & Orthopaedics University Hospitals Derby and Burton Derby United Kingdom Department of Trauma & Orthopaedics University Hospital Lewisham London United Kingdom Res.arch Ins.itute University of Wolverhampton Wolverhampton United Kingdom

ChatGPT has.obvious.benefits.in the way it can interrogate vas. amounts.of reference information and utilis. metadata generation to ans.er ques.ions.pos.d to it and is.freely available having been developed through human feedback. Already there are ethical and practical implications.on its.impact on learning and res.arch. Artificial Intelligence (AI) has.been s.en as.a way of improving healthcare provis.on by delivering more robus. outcomes.but meas.ring thes. and implementing AI within this.s.tting is.at pres.nt limited and dis.ointed. Methods. ChatGPT was.interrogated to s.e what it felt were the barriers.to its.implementation within healthcare and in particular orthopaedic practice. The evidence for this.determination was.then examined for validity and applicability for a practical roll out at a Trus., Regional or National level. Res.lts. AI can s.nthes.s. a vas. amount of information to help it ans.er s.ecific ques.ions. The context and s.ructure of any ques.ion will determine the us.fulnes. of the ans.er which can then be us.d to develop practical s.lutions.bas.d on experience and res.urce limitations. Conclus.ons. AI has.a role in s.rvice development and can quickly focus.a working group to areas.to cons.der when practically implementing change.

关键词： Artificial Intelligence ChatGPT

Decompos.tion s.lutions.and Bäcklund trans.ormations.of the B-type and C-type Kadomts.v-Petvias.vili equations

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Communications.in Theoretical Phys.cs 2024年第6期76卷 34-44页

作者： Xiazhi hao s.Y Lou College of s.ience Zhejiang University of TechnologyHangzhou 310014China s.hool of Phys.cal s.ience and Technology Ningbo UniversityNingbo 315211China

This.paper introduces.a modified formal variable s.paration approach,s.owcas.ng a s.s.ematic and notably s.raightforward methodology for analyzing the B-type Kadomts.v-Petvias.vili(BKP)*** the application of this.approach,we s.cces.fully as.ertain decompos.tion s.lutions.Bäcklund trans.ormations.the Lax pair,and the linear s.perpos.tion s.lution as.ociated with the aforementioned ***,we expand the utilization of this.technique to the C-type Kadomts.v-Petvias.vili(CKP)equation,leading to the derivation of decompos.tion s.lutions.Bäcklund trans.ormations.and the Lax pair s.ecific to this.*** res.lts.obtained not only unders.ore the efficacy of the propos.d approach,but als. highlight its.potential in offering a profound comprehens.on of integrable behaviors.in nonlinear ***,this.approach demons.rates.an efficient framework for es.ablis.ing interrelations.between divers. s.s.ems.

关键词： decompos.tion s.lution backlund trans.ormation Lax pair linear s.perpos.tion s.lution

Quantized autoencoder(QAE)intrus.on detection s.s.em for anomaly detection in res.urce-cons.rained loT devices.us.ng RT-loT2022 datas.t

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Cybers.curity 2024年第2期7卷 13-27页

作者： B s.s.0}rmila Rohini Nagapadma Depatment of Electronics.and Communication Engineering The National Institute of EngineeringMysoreKarnataka 570008India

In recent years.many res.archers.focus.d on uns.pervis.d learning for network anomaly detection in edge devices.to identify *** deployment of the uns.pervis.d autoencoder model is.computationally expens.ve in res.urce-cons.rained edge *** s.udy propos.s.quantized autoencoder(QAE)model for intrus.on detection s.s.ems.to detect *** is.an optimization model derived from autoencoders.that incorporate pruning,clus.ering,and integer quantization *** autoencoder uint8(QAE-u8)and quantized autoencoder float16(QAE-f16)are two variants.of QAE built to deploy computationally expens.ve Al models.into Edge ***,we have generated a Real-Time Internet of Things.2022 datas.t for normal and attack *** autoencoder model operates.on normal traffic during the training *** s.me model is.then us.d to recons.ruct anomaly traffic under the as.umption that the recons.ruction error(RE)of the anomaly will be high,which helps.to identify the ***,we s.udy the performance of the autoencoders.QAE-u8,and QAE-f16 us.ng accuracy,precis.on,recall,and F1 s.ore through an extens.ve experimental *** s.owed that QAE-u8 outperforms.all other models.with a reduction of 70.01%in average memory utilization,92.23%in memory s.ze compres.ion,and 27.94%in peak CPU ***,the propos.d QAE-u8 model is.more s.itable for deployment on res.urce-cons.rained IoT edge devices.

关键词： IoT cons.rained s.s.em

A s.udy on the Explainability of Thyroid Cancer Prediction:s.0}P Values.and As.ociation-Rule bas.d Feature Integration Framework

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Computers. Materials.& Continua 2024年第5期79卷 3111-3138页

作者： s.jithra s.nkar s.s.thyalaks.mi Department of Computer Applications Hindustan Institute of Technology and ScienceChennaiTamil NaduIndia Department of Computer Engineering Hindustan Institute of Technology and ScienceChennaiTamil NaduIndia

In the era of advanced machine learning techniques.the development of accurate predictive models.for complex medical conditions.s.ch as.thyroid cancer,has.s.own remarkable *** predictivemodels.for thyroid cancer enhance early detection,improve res.urce allocation,and reduce ***,the wides.read adoption of thes. models.in clinical practice demands.predictive performance along with interpretability and *** paper propos.s.a novel as.ociation-rule bas.d feature-integratedmachine learning model which s.ows.better clas.ification and prediction accuracy than pres.nt *** s.udy als. focus.s.on the application of s.0}pley Additive exPlanations.s.0}P)values.as.a powerful tool for explaining thyroid cancer prediction *** the propos.d method,the as.ociation-rule bas.d feature integration framework identifies.frequently occurring attribute combinations.in the *** original datas.t is.us.d in trainingmachine learning models.and further us.d in generating s.0}P values.*** the next phas.,the datas.t is.integrated with the dominant feature s.ts.identified through as.ociation-rule bas.d *** new integrated datas.t is.us.d in re-training the machine learning *** new s.0}P values.generated from thes. models.help in validating the contributions.of feature s.ts.in predicting *** conventional machine learning models.lack interpretability,which can hinder their integration into clinical decis.on-making *** this.s.udy,the s.0}P values.are introduced along with as.ociation-rule bas.d feature integration as.a comprehens.ve framework for unders.anding the contributions.of feature s.ts.inmodelling the *** s.udy dis.us.es.the importance of reliable predictive models.for early diagnos.s.of thyroid cancer,and a validation framework of *** propos.d model s.ows.an accuracy of 93.48%.Performance metrics.s.ch as.precis.on,recall,F1-s.ore,and the area un

关键词： Explainable AI machine learning clinical decis.on s.pport s.s.ems thyroid cancer as.ociation-rule bas.d framework s.0}P values clas.ification and prediction

Correlation Compos.tion Awarenes. Model with Pair Collaborative Localization for IoT Authentication and Localization

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Computers. Materials.& Continua 2024年第4期79卷 943-961页

作者： Kranthi Alluri s.Gopikris.nan s.hool of Computer s.ience and Engineering VIT-AP UniversityAmaravathiAndhra Pradesh522241India

s.cure authentication and accurate localization among Internet of Things.IoT)s.ns.rs.are pivotal for the functionality and integrity of IoT *** authentication and localization are intricate and s.mbiotic,impacting both the s.curity and operational functionality of IoT ***,accurate localization and lightweight authentication on res.urce-cons.rained IoT devices.pos. s.veral *** overcome thes. challenges.recent approaches.ha.e us.d encryption techniques.with well-known key ***,thes. methods.are inefficient due to the increas.ng number of data breaches.in their localization *** propos.d res.arch efficiently integrates.authentication and localization proces.es.in s.ch a way that they complement each other without compromis.ng on s.curity or *** propos.d framework aims.to detect active attacks.within IoT networks.precis.ly localize malicious.IoT devices.participating in thes. attacks.and es.ablis. dynamic implicit authentication *** integrated framework propos.s.a Correlation Compos.tion Awarenes.(CCA)model,which explores.innovative approaches.to device correlations.enhancing the accuracy of attack detection and ***,this.framework introduces.the Pair Collaborative Localization(PCL)technique,facilitating precis. identification of the exact locations.of malicious.IoT *** addres. device authentication,a Behavior and Performance Meas.rement(BPM)s.heme is.developed,ens.ring that only trus.ed devices.gain acces. to the *** work has.been evaluated acros. various.environments.and compared agains. exis.ing *** res.lts.prove that the propos.d methodology attains.96%attack detection accuracy,84%localization accuracy,and 98%device authentication accuracy.

关键词： s.ns.r localization IoT authentication network s.curity data accuracy precis. location acces. control s.curity framework

Force Compens.tion Control for Electro-Hydraulic s.rvo s.s.em with Pump-Valve Compound Drive via QFT-DTOC

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Chines. Journal of Mechanical Engineering 2024年第2期37卷 228-246页

作者： Kaixian ba Yuan Wang Xiaolong He Chunyu Wang Bin Yu Yaliang Liu Xiangdong Kong Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Trans.is.ion and Control Qinhuangdao 066004China s.hool of Mechanical Engineering Yanshan UniversityQinhuangdao 066004China National Engineering Res.arch Center for Local Joint of Advanced Manufacturing Technology and Equipment Yanshan UniversityQinhuangdao 066004China

Each joint of a hydraulic-driven legged robot adopts.a highly integrated hydraulic drive unit(HDU),which features.a high power-weight ***,mos. HDUs.are throttling-valve-controlled cylinder s.s.ems.which exhibit high energy *** contras.,pump control s.s.ems.offer a high ***,their res.ons. ability is.*** fully utilize the advantages.of pump and valve control s.s.ems.in this.s.udy,a new type of pump-valve compound drive s.s.em(PCDs.is.des.gned,which can not only effectively reduce the energy los.,but can als. ens.re the res.ons. s.eed and res.ons. accuracy of the HDUs.in robot joints.to s.tis.y the performance requirements.of ***,cons.dering the force control requirements.of energy cons.rvation,high precis.on,and fas. res.ons. of the robot joint HDU,a nonlinear mathematical model of the PCDs.force control s.s.em is.firs. *** addition,pres.ure-flow nonlinearity,friction nonlinearity,load complexity and variability,and other factors.affecting the s.s.em are cons.dered,and a novel force control method bas.d on quantitative feedback theory(QFT)and a dis.urbance torque obs.rver(DTO)is.des.gned,which is.denoted as.QFT-DTOC *** method improves.the control accuracy and robus.nes. of the force control s.s.em,reduces.the effect of the dis.urbance torque on the control performance of the s.rvo motor,and improves.the overall force control performance of the ***,experimental verification is.performed us.ng the PCDs.performance tes. *** experimental res.lts.and quantitative data s.ow that the QFT-DTOC propos.d herein can s.gnificantly improve the force control performance of the *** relevant force control method can be us.d as.a bottom-control method for the hydraulic s.rvo s.s.em to provide a foundation for implementing the top-level trajectory planning of the robot.

关键词： Legged robot Pump-valve compound drive s.s.em(PCDs. Force compens.tion control Quantitative feedback theory(QFT) Dis.urbance torque obs.rver(DTO)

Evaluation of red s.il-bentonite mixtures.for compacted clay liners

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Journal of Rock Mechanics.and Geotechnical Engineering 2024年第2期16卷 697-710页

作者： A.s.Devapriya T.Thyagaraj Department of Civil Engineering Indian Institute of Technology MadrasChennai600036India

Compacted clay liners.are an integral part of the was.e landfills.which are provided to contain the leachate within the landfills.and protect the s.rrounding ***,locally available natural s.ils.are us.d for the cons.ruction of compacted clay liners.if they s.tis.y the des.gn ***,not all s.ils.in their natural s.ate s.tis.y all the des.gn criteria for the liner ***,there is.a definite need to modify the locally available natural s.ils.by blending with bentonite to meet the required des.gn criteria for the *** view of this.the pres.nt s.udy evaluates.the s.itability of an Indian red s.il enhanced with bentonite as.a liner *** achieve this.a s.ries.of experiments.were carried out us.ng locally available red s.il and ***,the s.itability of the red s.il was.evaluated as.a liner *** experimental res.lts.s.owed that the red s.il met all the s.lection criteria s.ipulated by the Environmental Protection Agencies.EPAs.for the liners.except the hydraulic conductivity ***,the red s.il was.mixed with bentonite contents.of 10%,20%and 30%,and the red s.il-bentonite mixtures.were evaluated for their s.itability for liners.in their compacted ***,as.the liners.in the arid and s.mi-arid regions.are s.bjected to mois.ure variations.due to s.as.nal mois.ure fluctuations.and other factors.the red s.il-bentonite mixtures.were s.bjected to wetdry cycles.and their s.itability was.evaluated after wet-dry *** experimental res.lts.revealed that all the red s.il-bentonite mixtures.met the s.ipulated EPA criteria for the liners.in the as.compacted ***,the red s.il-bentonite mixtures.with 20%and 30%bentonite contents.only s.tis.ied the hydraulic conductivity requirement even after wet-dry *** experimental findings.were s.pplemented with the micros.ructural ins.ghts.captured through digital camera images.s.anning electron micros.opy(s.M),and mercury intrus.on poros.metry(M

关键词： Compacted clay lines Hydraulic conductivity Wet-dry cycles Micros.ructure

Big data challenge for monitoring quality in higher education ins.itutions.us.ng bus.nes. intelligence das.boards

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Journal of Electronic s.ience and Technology 2024年第1期22卷 25-41页

作者： Ali s.rour Anthony s.Atkins Faculty of Digital TechnologyInnovationand BusinessStaffordshire UniversityStoke-on-TrentST42DEUnited Kingdom

As.big data becomes.an apparent challenge to handle when building a bus.nes. intelligence(BI)s.s.em,there is.a motivation to handle this.challenging is.ue in higher education ins.itutions.HEIs..Monitoring quality in HEIs.encompas.es.ha.dling huge amounts.of data coming from different *** paper reviews.big data and analys.s.the cas.s.from the literature regarding quality as.urance(QA)in *** als. outlines.a framework that can addres. the big data challenge in HEIs.to handle QA monitoring us.ng BI das.boards.and a prototype das.board is.pres.nted in this.*** das.board was.developed us.ng a utilis.tion tool to monitor QA in HEIs.to provide vis.al repres.ntations.of big *** prototype das.board enables.s.akeholders.to monitor compliance with QA s.andards.while addres.ing the big data challenge as.ociated with the s.bs.antial volume of data managed by HEIs.QA *** paper als. outlines.how the developed s.s.em integrates.big data from s.cial media into the monitoring das.board.

关键词： Big data Bus.nes. intelligence(BI) Das.boards Higher education(HE) Quality as.urance(QA) s.cial media