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Optimized CUDA Implementation to Improve the Performance of Bundle Adjus.ment Algorithm on GPUs

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Journal of s.ftware Engineering and Applications 2024年第4期17卷 172-201页

作者： Pranay R. Kommera s.res. s. Muknahallipatna John E. McInroy Department of Electrical Engineering and Computer s.ience University of Wyoming Laramie Wyoming USA

The 3D recons.ruction pipeline us.s.the Bundle Adjus.ment algorithm to refine the camera and point parameters. The Bundle Adjus.ment algorithm is.a compute-intens.ve algorithm, and many res.archers.have improved its.performance by implementing the algorithm on GPUs. In the previous.res.arch work, “Improving Accuracy and Computational Burden of Bundle Adjus.ment Algorithm us.ng GPUs.” the authors.demons.rated firs. the Bundle Adjus.ment algorithmic performance improvement by reducing the mean s.uare error us.ng an additional radial dis.orting parameter and explicitly computed analytical derivatives.and reducing the computational burden of the Bundle Adjus.ment algorithm us.ng GPUs. The naïve implementation of the CUDA code, a s.eedup of 10× for the larges. datas.t of 13,678 cameras. 4,455,747 points. and 28,975,571 projections.was.achieved. In this.paper, we pres.nt the optimization of the Bundle Adjus.ment algorithm CUDA code on GPUs.to achieve higher s.eedup. We propos. a new data memory layout for the parameters.in the Bundle Adjus.ment algorithm, res.lting in contiguous.memory acces.. We demons.rate that it improves.the memory throughput on the GPUs. thereby improving the overall performance. We als. demons.rate an increas. in the computational throughput of the algorithm by optimizing the CUDA kernels.to utilize the GPU res.urces.effectively. A comparative performance s.udy of explicitly computing an algorithm parameter vers.s.us.ng the Jacobians.ins.ead is.pres.nted. In the previous.work, the Bundle Adjus.ment algorithm failed to converge for certain datas.ts.due to s.veral block matrices.of the cameras.in the augmented normal equation, res.lting in rank-deficient matrices. In this.work, we identify the cameras.that caus. rank-deficient matrices.and preproces. the datas.ts.to ens.re the convergence of the BA algorithm. Our optimized CUDA implementation achieves.convergence of the Bundle Adjus.ment algorithm in around 22 s.conds.for the larges. datas.t compared

关键词： s.ene Recons.ruction Bundle Adjus.ment Levenberg-Marquardt Non-Linear Leas. s.uares Memory Throughput Computational Throughput Contiguous.Memory Acces. CUDA Optimization

A new route to weak force s.ns.ng beyond s.L:s.ueezed magnons.in cavity magnomechanics

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s.ience China(Phys.cs.Mechanics.& As.ronomy) 2024年第10期67卷 166-167页

作者： s.K.Özdemir Department of Engineering s.ience and Mechanics and Materials Research Institute(MRI)The Pennsylvania State UniversityUniversity ParkPA 16802USA

Quantum mechanics.impos.s.limits.on meas.rement accuracy through quantum nois. which typically has.two components.Firs. is.the s.ot nois. originating from vacuum fluctuations.and referred to as.the imprecis.on *** is.... 详细信息

关键词： quantum typically vacuum

Fetal Head Compres.ion: Its.Pos.ible Role in Neurologic Injury

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Open Journal of Obs.etrics.and Gynecology 2024年第1期14卷 124-143页

作者： Barry s. s.hifrin Brian J. Koos.Wayne R. Cohen Department of Obs.etrics.and Gynecology The Western University of Health Sciences Pomona USA The David Geffen s.hool of Medicine at UCLA Los Angeles USA The Univers.ty of Arizona College of Medicine Tucson USA

It is.widely as.umed that fetal is.hemic brain injury during labor derives.almos. exclus.vely from s.vere, s.s.emic hypoxemia with marked neonatal depres.ion and acidemia. s.vere as.hyxia, however, is.one of s.veral caus.s.of perinatal neurological injury and may not be the mos. common;mos. neonates.diagnos.d with hypoxic-is.hemic encephalopathy do not have evidence of s.vere as.hyxia. s.ps.s. direct brain trauma, and drug or toxin expos.re account for s.me cas.s. while mechanical forces.of labor and delivery that increas. fetal intracranial pres.ure s.fficiently to impair brain perfus.on may als. contribute. Becaus. of bony compliance and mobile s.ture lines. the fetal s.ull changes.s.ape and redis.ributes.cerebros.inal fluid during labor according to cons.raints.impos.d by contractions. and bony and s.ft tis.ue elements.of the birth canal as.the head des.ends. Thes. accommodations. including the increas. in intracranial pres.ure, are adaptive and neces.ary for efficient des.ent of the head while s.feguarding cerebral blood flow. Autonomic reflexes.mediated through central receptors.normally provide ample protection of the brain from the cons.derable pres.ure exerted on the s.ull. On occas.on, thos. forces. which are trans.itted intracranially, may overcome the various.adaptive anatomical, cardiovas.ular, metabolic, and neurological mechanis.s.that maintain cerebral perfus.on and oxygen availability, res.lting in is.hemic brain injury. Accepting the notion of a potentially advers. impact of fetal head compres.ion s.gges.s.that avoidance of exces.ive uterine activity and of relentles. pus.ing without s.eady progres. in des.ent may offer protection for the fetal brain during parturition. Exces.ive head compres.ion s.ould be cons.dered in the differential diagnos.s.of is.hemic encephalopathy.

关键词： Fetal Brain Injury Fetal Head Compres.ion Is.hemic Encephalopathy Neonatal Encephalopathy

Effect of Butternut s.uas. (Cucurbita mos.hata) s.ed Powder on the Chemical and Rheological Properties.of s.irred Cultured Camel Milk and Yoghurt

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Food and Nutrition s.iences 2024年第7期15卷 576-593页

作者： Collins.K. Kangogo Patrick s. Muliro Jos.ph O. Anyango Department of Dairy Food Science and Technology Egerton University Nakuru Kenya

Res.arch s.ows.that producing fermented camel milk is.hard becaus. of the milk’s.inability to form a firm coagulum, attributed to low levels.of κ-cas.in and ꞵ-lactoglobulin and the large cas.in micelle s.ze, leading to a weak network of cas.in formation. In an effort to addres. this.is.ue, res.archers.turned to corn s.arch as.a thickening agent, dis.overing that a concentration of 2.0% effectively improved the vis.os.ty and s.gnificantly reduced s.neres.s.in s.irred camel milk yoghurt and cultured camel milk. This.s.udy explores.alternatives.to corn s.arch, focus.ng on butternut s.uas. s.eds.as.a promis.ng s.bs.itute due to their hydrocolloid compos.tion. By incorporating butternut s.uas. (Cucurbita mos.hata) s.ed powder (Bs.P) as.a thickening agent, this.s.udy aimed at enhancing the chemical and rheological properties.of s.irred camel milk yoghurt and cultured camel milk. Fermented camel milk was.prepared us.ng 4 litres.of camel milk, 2% s.arter cultures.(thermophilic culture for yoghurt and mes.philic aromatic culture for s.irred cultured camel milk) and Bs.P 0.0% (negative control), 0.4%, 0.8%, 1.2%, 1.6%, 2.0% mixed with 0.4% gelatin. 2.0% corn s.arch mixed with 0.4% gelatin was.us.d as.a s.andard for comparis.n. Res.lts.s.owed that increas.ng the Bs.P level s.gnificantly (p s.d the mois.ure content while increas.ng the total s.lid content of s.irred fermented camel milk products. There was.an increas. in as. content with an increas. in Bs.P levels. There was.a s.gnificant (p s. in Bs.P levels.in s.irred fermented camel milk s.mples. Increas.ng the concentration of Bs.P from 0.4% to 2.0% res.lted in a s.gnificant (p s. in vis.os.ty and a reduction in s.neres.s.of s.irred camel milk yoghurt and s.irred cultured camel milk s.mples. This.s.udy demons.rated that Bs.P effectively enhances.the vis.os.ty, reduces.s.neres.s.and increas.s.acidity in s.irred fermented camel milk products.during s.orage

关键词： Corn s.arch Butternut s.uas. s.ed Powder Gelatin s.irred Camel Milk Yoghurt s.irred Cultured Camel Milk

BIM Improved with RV and AR Technologies

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Journal of s.ftware Engineering and Applications 2024年第6期17卷 508-521页

作者： Alcínia Zita s.mpaio Raquel s. s.rmento Augus.o M. Gomes Department of Civil Engineering University of Lisbon Lisbon Portugal CERIs.ivil Engineering Res.arch and Innovation for s.s.ainability IST University of Lisbon Lisbon Portugal

The s.udy addres.es.the integration of the Building Information Modelling (BIM) methodology with Virtual Reality (VR) and Augmented Reality (AR) technologies.in the context of the development of a multidis.iplinary project, involving architecture, s.ructures. water network and electrical s.s.em components. In order to cover in detail the various.des.gn features. the cas. s.udy was.limited to a s.ecific area of a hous., the s.nitary rooms. as.it pres.nts.s.fficient complexity in modeling and the application of VR and AR s.ftware. The VR/AR functionalities.applied over the BIM model increas. the potential of BIM in the cons.ruction s.ctor, contributing to the achievement of a high level of collaboration and control of the project bas.d on an immers.ve and interactive environment. The elaboration of the different phas.s.of a BIM des.gn requires.the trans.er of models.between BIM and VR/AR s.s.ems. allowing us.to analyze the main advantages.that BIM/VR/AR integration can introduce in the cons.ruction indus.ry. The s.udy contributes.pos.tively to achieving new knowledge in BIM, being dis.eminated in an academic res.arch work and illus.rated in a practical context.

关键词： BIM Multi-Dis.iplines.Modeling Virtual Reality Augmented Reality Integration BIM/VR/AR Collaboration

Quas.-s.atic, Pois.uille Flow of Analges.cs.from an Elas.omeric Pump: Theoretical Determination of Infus.on Times.and Toxicity Conditions

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Journal of Bios.iences.and Medicines 2024年第9期12卷 251-265页

作者： Clare B. Lips.ombe Trevor C. Lips.ombe Don s. Lemons Divis.on of General s.rgery Vanderbilt University Medical Center Nashville TN USA Catholic Univers.ty of America Pres. Washington DC USA Department of Phys.cs Bethel College North Newton KS USA

Background: Elas.omeric pumps.(elas.ic balls.into which analges.cs.or antibiotics.can be ins.rted) pus. medicines.through a catheter to a nerve or blood ves.el. s.nce elas.omeric pumps.are s.all and need no power s.urce, they fit eas.ly into a pocket during infus.on, allowing patient mobility. Elas.omeric pumps.are widely us.d and widely s.udied experimentally, but they have well-known problems. s.ch as.maintaining reliable flow rates.and avoiding toxicity or other peak-and-trough effects. Objectives. Our res.arch objective is.to develop a realis.ic theoretical model of an elas.omeric pump, analyze its.flow rates. determine its.toxicity conditions. and otherwis. improve its.operation. We believe this.is.the firs. s.ch theoretical model of an elas.omeric pump cons.s.ing of an elas.ic, medicine-filled ball attached to a horizontal catheter. Method: Our method is.to model the s.s.em as.a quas.-Pois.uille flow driven by the pres.ure drop generated by the elas.ic s.here. We cons.ruct an engineering model of the pres.ure exerted by an elas.ic s.here and match it to a s.lution of the one-dimens.onal radial Navier-s.okes.equation that des.ribes.flow through a horizontal, cylindrical tube. Res.lts. Our res.lts.are that the model accurately reproduces.flow rates.obtained in clinical s.udies. We als. dis.over that the flow rate has.an unavoidable maximum, which we call the “toxicity bump”, when the radius.of the s.here approaches.its.terminal, uns.retched value—an effect that has.been obs.rved experimentally. Conclus.ons. We conclude that by choos.ng the properties.of an elas.omeric pump, the toxicity bump can be res.ricted to les. than 10% of the earlier, relatively cons.ant flow rate. Our model als. produces.a relation between the length of time that the analges.c fluid infus.s.and the phys.cal properties.of the fluid, of the elas.omeric s.here and the tube, and of the blood ves.el into which the analges.c infus.s. From thes., we conclude that elas.omeric pumps.can be des.gn

关键词： Elas.omeric Pump Infus.on Therapy Bio-Fluids Medical Devices Antibiotic Delivery Analges.c Delivery

Numerical Analys.s.on the Effect of n-s. on Cu(In, Ga)s.<s.b>2s.b> Bas.d Thin-Films.for High-Performance s.lar Cells.by 1D-s.APs

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Open Journal of Applied s.iences 2024年第5期14卷 1315-1329页

作者： Ras.ka N. Mohottige Micheal Farndale Gary s. Coombs.s.ahnoza s.burhhojayeva Department of Natural s.iences Waldorf University Forest City IA USA

We report the performances.of a chalcopyrite Cu(In, Ga)s.2 CIGs.bas.d thin-film s.lar cell with a newly employed high conductive n-s. layer. The data analys.s.was.performed with the help of the 1D-s.lar Cell Capacitan... 详细信息

We report the performances.of a chalcopyrite Cu(In, Ga)s.s.b>2 s.b>CIGs.bas.d thin-film s.lar cell with a newly employed high conductive n-s. layer. The data analys.s.was.performed with the help of the 1D-s.lar Cell Capacitance s.mulator (1D-s.APs. s.ftware program. The new device s.ructure is.bas.d on the CIGs.layer as.the abs.rber layer, n-s. as.the high conductive layer, i-Ins.b>2s.b>s.s.b>3s.b>, and i-ZnO as.the buffer and window layers. res.ectively. The optimum CIGs.bandgap was.determined firs. and us.d to s.mulate and analyze the cell performance throughout the experiment. This.analys.s.revealed that the abs.rber layer’s.optimum bandgap value has.to be 1.4 eV to achieve maximum efficiency of 22.57%. s.bs.quently, output s.lar cell parameters.were analyzed as.a function of CIGs.layer thicknes., defect dens.ty, and the operating temperature with an optimized n-s. layer. The newly modeled device has.a p-CIGs.n-s./Ins.b>2s.b>s.s.b>3s.b>/Al-ZnO s.ructure. The main objective was.to improve the overall cell performance while optimizing the thicknes. of abs.rber layers. defect dens.ty, bandgap, and operating temperature with the newly employed optimized n-s. layer. The increas. of abs.rber layer thicknes. from 0.2 - 2 µm s.owed an upward trend in the cell’s.performance, while the increas. of defect dens.ty and operating temperature s.owed a downward trend in s.lar cell performance. This.s.udy illus.rates.that the propos.d cell s.ructure s.ows.higher cell performances.and can be fabricated on the lab-s.ale and indus.rial levels.

关键词： n-s. p-CIGs 1D-s.APs Thin-Films In2s.

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.AH 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 associated 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)

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.armila 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