Search results for "INTEGRATION"

showing 10 items of 1465 documents

Optical Probing (EOFM/TRI): A large set of complementary applications for ultimate VLSI

2013

International audience; Electro Optical Techniques (EOFM: Electro Optical Frequency Mapping and EOP: Electro Optical Probing) and Dynamic Light Emission Techniques (TRE: Time Resolved Emission and TRI: Time Resolved Imaging) are dynamic optical probing techniques widely used at IC level for design debug and defect localization purpose. They can pinpoint the origin of timing issue or logic fault in up to date CMOS devices. Each technique has its advantages and its drawbacks allowing a common set of applications and more specific ones. We have been involved in the development of the most advanced techniques related to EOFM and TRI on various devices (down to 28nm technology). What we can expe…

Materials science[SPI.OPTI] Engineering Sciences [physics]/Optics / Photonic[SPI] Engineering Sciences [physics][SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronicsmedia_common.quotation_subjectComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyFault (power engineering)01 natural sciencesSet (abstract data type)[SPI]Engineering Sciences [physics]Optical frequenciesOptical probing0103 physical sciencesElectronic engineering[ SPI ] Engineering Sciences [physics][SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronicsmedia_common010302 applied physicsVery-large-scale integration021001 nanoscience & nanotechnologyCMOSDebugging[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicLight emission[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic0210 nano-technology
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2017

Joint replacement surgery is associated with significant morbidity and mortality following infection with either methicillin-resistant Staphylococcus aureus (MRSA) or Staphylococcus epidermidis. These organisms have strong biofilm-forming capability in deep wounds and on prosthetic surfaces, with 103 -104 microbes resulting in clinically significant infections. To inhibit biofilm formation, we developed 3D titanium structures using selective laser melting and then coated them with a silver nanolayer using atomic layer deposition. On bare titanium scaffolds, S. epidermidis growth was slow but on silver-coated implants there were significant further reductions in both bacterial recovery (p < …

Materials sciencebiologyAngiogenesisJoint replacementmedicine.medical_treatment0206 medical engineeringBiomedical EngineeringBiofilmPharmaceutical Sciencechemistry.chemical_element02 engineering and technology021001 nanoscience & nanotechnologybiology.organism_classificationmedicine.disease_cause020601 biomedical engineeringOsseointegrationBiomaterialschemistryStaphylococcus epidermidisIn vivoStaphylococcus aureusmedicine0210 nano-technologyBiomedical engineeringTitaniumAdvanced Healthcare Materials
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Soft Tissue Healing at One-Piece Zirconia Implants Compared to Titanium and PEEK Implants of Identical Design: A Histomorphometric Study in the Dog

2013

This study aimed to histomorphometrically evaluate the soft tissue reactions of one-piece zirconia implants versus titanium implants in regard to their insertion depth. Four one-piece implants of identical geometry were inserted on each side of six mongrel dogs: an uncoated zirconia implant, a zirconia implant coated with a calcium liberating titanium oxide, a titanium implant, and an experimental implant made of a synthetic material. Using a split-mouth design, they were inserted in both submerged and nonsubmerged healing modes. After 4 months, dissected blocks were stained with toluidine blue to histologically assess the marginal portion of the implant mucosa, apical extension of the barr…

Materials sciencechemistry.chemical_elementDentistryConnective tissueOsseointegrationDogsCoated Materials BiocompatibleImplants ExperimentalOsseointegrationPeekmedicineAnimalsCubic zirconiaDental ImplantsTitaniumWound Healingbusiness.industryDental Implantation EndosseousSoft tissuemedicine.anatomical_structureDental Prosthesis DesignchemistryPeriodonticsZirconiumImplantOral SurgeryWound healingbusinessTitaniumInternational Journal of Periodontics and Restorative Dentistry
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On the use of EMI for the assessment of dental implant stability

2014

The achievement and the maintenance of dental implant stability are prerequisites for the long-term success of the osseointegration process. Since implant stability occurs at different stages, it is clinically required to monitor an implant over time, i.e. between the surgery and the placement of the artificial tooth. In this framework, non-invasive tests able to assess the degree of osseointegration are necessary. In this paper, the electromechanical impedance (EMI) method is proposed to monitor the stability of dental implants. A 3D finite element model of a piezoceramic transducer (PZT) bonded to a dental implant placed into the bone was created, considering the presence of a bone- impla…

Materials sciencemedicine.medical_treatmentStiffnessOsseointegrationTransducerEMIElectromechanical impedance method dental implants finite element methodsmedicinePulp canalImplantmedicine.symptomDental implantAbutment (dentistry)Biomedical engineering
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Osteogenic parameters surrounding trabecular tantalum metal implants in osteotomies prepared via osseodensification drilling

2019

Background Surgical fixation of implants into bone for the correction of bone deformities or defects is a traditional approach for skeletal stabilization. Important measures of efficacy of implants include implant stability and osseointegration—the direct interaction between living bone and an implant. Osseointegration depends on successful implant placement and subsequent bone remodeling. This study utilized osseodensification drilling (OD) in a low bone density model using trabecular metal (TM) implants. Material and Methods Three osteotomy sites, Regular, OD-CW (clockwise), and OD-CCW (counterclockwise), were prepared in each ilium of three female sheep. Drilling was performed at 1100rpm…

Materials sciencemedicine.medical_treatmentTantalumOsteotomyOsseointegrationBone remodeling03 medical and health sciencesFixation (surgical)0302 clinical medicineOsseointegrationOsteogenesismedicineAnimalsGeneral DentistryDental ImplantsSheepSaline irrigationResearchSignificant differenceDental Implantation Endosseous030206 dentistry:CIENCIAS MÉDICAS [UNESCO]OsteotomyOtorhinolaryngologyMetalsUNESCO::CIENCIAS MÉDICASSurgeryImplantOral SurgeryBone volumeBiomedical engineeringMedicina Oral, Patología Oral y Cirugía Bucal
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Colloidal lithography and Metal-Organic Chemical Vapor Deposition process integration to fabricate ZnO nanohole arrays

2010

A complete set up of optimal process conditions for an effective colloidal lithography/catalyst assisted MOCVD process integration is presented. It mainly focuses on the determination of the deposition temperature threshold for ZnO Metal-Organic Chemical Vapour Deposition (MOCVD) as well as the concentration of metal-organic silver (Ag) catalyst. Indeed, the optimization of such process parameters allows to tailor the ZnO film morphology in order to make the colloidal lithography/catalyst assisted MOCVD approach a valuable bottom up method to fabricate bi-dimensional ordered ZnO nanohole arrays. (C) 2010 Elsevier B.V. All rights reserved.

Materials sciencezinc oxide; Nanowires and nanohole arrays; Colloidal lithographyMetals and AlloysNanowirezinc oxideNanotechnologyZnO; Catalyst; Nanowires; Nanohole array; Colloidal lithography; MOCVDSurfaces and InterfacesChemical vapor depositionSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCatalysisNanowireNanohole arrayScientific methodProcess integrationMOCVDMaterials ChemistryNanowires and nanohole arraysZnOColloidal lithographyMetalorganic vapour phase epitaxyCatalystThin filmLithography
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Drilling Systems: Stability and Hidden Oscillations

2013

There are many mathematical models of drilling systems Despite, huge efforts in constructing models that would allow for precise analysis, drilling systems, still experience breakdowns. Due to complexity of systems, engineers mostly use numerical analysis, which may lead to unreliable results. Nowadays, advances in computer engineering allow for simulations of complex dynamical systems in order to obtain information on the behavior of their trajectories. However, this simple approach based on construction of trajectories using numerical integration of differential equations describing dynamical systems turned out to be quite limited for investigation of stability and oscillations of these s…

Mathematical modelDynamical systems theoryDifferential equationComputer scienceNumerical analysisStability (learning theory)Applied researchControl engineeringHidden oscillationNumerical integration
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Iterative Reconstruction of Memory Kernels.

2017

In recent years, it has become increasingly popular to construct coarse-grained models with non-Markovian dynamics to account for an incomplete separation of time scales. One challenge of a systematic coarse-graining procedure is the extraction of the dynamical properties, namely, the memory kernel, from equilibrium all-atom simulations. In this article, we propose an iterative method for memory reconstruction from dynamical correlation functions. Compared to previously proposed noniterative techniques, it ensures by construction that the target correlation functions of the original fine-grained systems are reproduced accurately by the coarse-grained system, regardless of time step and disc…

Mathematical optimization010304 chemical physicsDiscretizationGeneralizationComputer scienceIterative methodFOS: Physical sciences02 engineering and technologyIterative reconstructionConstruct (python library)Condensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnology01 natural sciencesComputer Science ApplicationsKernel (image processing)Integrator0103 physical sciencesVerlet integrationSoft Condensed Matter (cond-mat.soft)Physical and Theoretical Chemistry0210 nano-technologyAlgorithmJournal of chemical theory and computation
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Non-linear systems under parametric white noise input: digital simulation and response

2005

Abstract Monte Carlo technique is constituted of three steps. Therefore, improving such technique in practice means, improving the procedure used in one of the three following steps: (i) sample paths of the stochastic input process, (ii) calculation of the outputs corresponding to the generated input samples by using methods of classical dynamics and (iii) estimating statistics of the output process from sample outputs related to the previous step. For linear and non-linear systems driven by parametric impulsive inputs such as normal or non-normal white noises, a general integration method requires a considerable reduction of the integration step when the impulse occurs, treating the impuls…

Mathematical optimizationApplied MathematicsMechanical EngineeringMonte Carlo methodα-stable white noiseParametric impulseWhite noiseImpulse (physics)Poissonian white noiseWindow functionα-stable white noise; Normal white noise; Parametric impulse; Poissonian white noiseNonlinear systemMechanics of MaterialsMonte Carlo integrationQuasi-Monte Carlo methodAlgorithmParametric statisticsMathematicsNormal white noise
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A new strategy for effective learning in population Monte Carlo sampling

2016

In this work, we focus on advancing the theory and practice of a class of Monte Carlo methods, population Monte Carlo (PMC) sampling, for dealing with inference problems with static parameters. We devise a new method for efficient adaptive learning from past samples and weights to construct improved proposal functions. It is based on assuming that, at each iteration, there is an intermediate target and that this target is gradually getting closer to the true one. Computer simulations show and confirm the improvement of the proposed strategy compared to the traditional PMC method on a simple considered scenario.

Mathematical optimizationComputer scienceMonte Carlo methodInference02 engineering and technology01 natural sciencesHybrid Monte Carlo010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringQuasi-Monte Carlo methodKinetic Monte Carlo0101 mathematicsComputingMilieux_MISCELLANEOUSbusiness.industryRejection samplingSampling (statistics)020206 networking & telecommunicationsMarkov chain Monte CarloDynamic Monte Carlo methodsymbolsMonte Carlo integrationMonte Carlo method in statistical physicsArtificial intelligenceParticle filterbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingMonte Carlo molecular modeling
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