Search results for "Density"

showing 10 items of 4402 documents

Polietylen liniowy małej gęstości

2002

Artykuł o charakterze przeglądowym dotyczy jednego z gatunków polietylenu, tj. liniowego polietylenu małej gęstości (PE-LLD) stanowiącego kopolimer etylenu z niewielką ilością (kilku %) wyższej l-olefiny otrzymywany metodą polimeryzacji koordynacyjnej z udziałem metaloorganicznych układów katalitycznych. Omówiono wpływ typu katalizatora, w szczególności nowoczesnych układów metalocenowych, na aktywność w kopolimeryzacji i efektywność wbudowania komonomeru do łańcucha polietylenowego. Przedstawiono przemysłowe metody otrzymywania PE-LLD oraz charakterystykę tego produktu na tle znanych gatunków polietylenu - PE-LD i PE-HD. Omówiono także wpływ budowy chemicznej PE-LLD na jego podstawowe właś…

budowa kopolimeruwłaściwościzastosowaniecopolymer structureukłady katalitycznepropertieslinear low-density polyethylenecatalytic systemsethylene/1-olefin copolymerizationliniowy polietylen małej gęstościkopolimeryzacja etylenu z l-olefinamiapplicationPolimery
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Impact Assessment of Skidding Extraction: Effects on Physical and Chemical Properties of Forest Soils and on Maple Seedling Growing along the Skid Tr…

2019

Several studies investigated soil disturbances caused on skid trails by forest logging. However, there is still a lack of knowledge about the severity and the distance of disturbances along both sides from the trails. The aims of this study were: i) to investigate the changes in physical and chemical properties of soil along the sides of skidding trails

bulk densityBuffer stripengineering.materialskid trail edgeSettore AGR/06 - Tecnologia Del Legno E Utilizzazioni Forestali040101 forestryHydrologyMaplebiologyBulk density Skid trail edge Soil disturbance Traffic frequency Trail gradientLoggingForestry04 agricultural and veterinary scienceslcsh:QK900-989biology.organism_classificationBulk densitybulk density; skid trail edge; soil disturbance; traffic frequency; trail gradienttraffic frequencySkid (automobile)Seedlingsoil disturbanceSoil compactionSoil water040103 agronomy & agricultureengineeringlcsh:Plant ecology0401 agriculture forestry and fisheriesEnvironmental sciencetrail gradientForests
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Photobiomodulation Therapy in the Management of Burning Mouth Syndrome: Morphological Variations in the Capillary Bed

2020

Burning mouth syndrome (BMS) is an idiopathic condition that manifests itself primarily with the onset of a burning sensation. The aim of this research was to perform photobiomodulation therapy (PBM) using a diode laser on the oral mucosa of BMS patients, followed by an objective evaluation of the morphological changes in the vascular bed underlying the mucosa using polarized light videocapillaroscopy. A group of 40 patients were included in the study. The patients were randomly divided into two groups (using simple randomization) as follows: 20 patients were assigned to the laser group and 20 patients were assigned to the placebo group. Each patient of the laser group received eight irradi…

burning mouth syndromeRandomizationphotobiomodulation therapyCapillary actionPlaceboBuccal mucosaArticlelaw.inventiondiode laser030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicinelawmedicineOral mucosaGeneral Dentistrydentistrybusiness.industry030206 dentistryvideocapillaroscopyBurning mouth syndromeLaserlcsh:RK1-715medicine.anatomical_structurelcsh:DentistryEnergy densitymedicine.symptombusinessNuclear medicine
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Psychophysical response to electrocutaneous stimulation.

1984

A method is presented to determine a reliable stimulus-sensation relationship particularly suitable for electrocutaneous stimulation. An experimental intensity-discrimination curve was obtained through simple psychophysical comparison tasks, and sensory response was inferred from integration of a JND's density function. The psychophysical response resembles a power law, although departures cannot be described in terms of a unique exponent. An estimate of binary information capacity per electrode is also given as a feature of a stimulation procedure that preserves a low value of the size-intensity product.

business.industryBiomedical EngineeringSensationStimulation procedurePattern recognitionStimulationSensory systemProbability density functionElectrocutaneous stimulationPower lawElectric StimulationBinary informationDiscrimination PsychologicalPsychophysicsHumansArtificial intelligenceEvoked potentialPsychologybusinessSkinIEEE transactions on bio-medical engineering
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Modeling user preferences in content-based image retrieval: A novel attempt to bridge the semantic gap

2015

This paper is concerned with content-based image retrieval from a stochastic point of view. The semantic gap problem is addressed in two ways. First, a dimensional reduction is applied using the (pre-calculated) distances among images. The dimension of the reduced vector is the number of preferences that we allow the user to choose from, in this case, three levels. Second, the conditional probability distribution of the random user preference, given this reduced feature vector, is modeled using a proportional odds model. A new model is fitted at each iteration. The score used to rank the image database is based on the estimated probability function of the random preference. Additionally, so…

business.industryCognitive NeuroscienceFeature vectorDimensionality reductionPattern recognitionProbability density functionConditional probability distributionContent-based image retrievalcomputer.software_genreComputer Science ApplicationsWeightingArtificial IntelligenceArtificial intelligenceData miningbusinessImage retrievalcomputerSemantic gapMathematicsNeurocomputing
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A principled approach to network-based classification and data representation

2013

Measures of similarity are fundamental in pattern recognition and data mining. Typically the Euclidean metric is used in this context, weighting all variables equally and therefore assuming equal relevance, which is very rare in real applications. In contrast, given an estimate of a conditional density function, the Fisher information calculated in primary data space implicitly measures the relevance of variables in a principled way by reference to auxiliary data such as class labels. This paper proposes a framework that uses a distance metric based on Fisher information to construct similarity networks that achieve a more informative and principled representation of data. The framework ena…

business.industryCognitive NeuroscienceFisher kernelPattern recognitionProbability density functionConditional probability distributionExternal Data Representationcomputer.software_genreComputer Science ApplicationsWeightingEuclidean distancesymbols.namesakeData pointArtificial IntelligencesymbolsArtificial intelligenceData miningFisher informationbusinesscomputerMathematicsNeurocomputing
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Spectral clustering with the probabilistic cluster kernel

2015

Abstract This letter introduces a probabilistic cluster kernel for data clustering. The proposed kernel is computed with the composition of dot products between the posterior probabilities obtained via GMM clustering. The kernel is directly learned from the data, is parameter-free, and captures the data manifold structure at different scales. The projections in the kernel space induced by this kernel are useful for general feature extraction purposes and are here exploited in spectral clustering with the canonical k-means. The kernel structure, informative content and optimality are studied. Analysis and performance are illustrated in several real datasets.

business.industryCognitive NeurosciencePattern recognitionKernel principal component analysisComputer Science ApplicationsComputingMethodologies_PATTERNRECOGNITIONKernel methodArtificial IntelligenceVariable kernel density estimationKernel embedding of distributionsString kernelKernel (statistics)Radial basis function kernelArtificial intelligenceTree kernelbusinessMathematicsNeurocomputing
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Capacity studies of spatially correlated MIMO Rice channels

2010

In this paper, we have studied the statistical properties of the capacity of spatially correlated multiple-input multiple-output (MIMO) Rice channels. We have derived an exact closed-form expression for the probability density function (PDF) and an exact expression for the cumulative distribution function (CDF) of the channel capacity for single-input multiple-output (SIMO) and multiple-input single-output (MISO) systems. Furthermore, an accurate closed-form expression has been derived for the level-crossing rate (LCR) and an accurate expression has been obtained for the average duration of fades (ADF) of the SIMO and MISO channel capacities. For the MIMO case, we have investigated the PDF,…

business.industryComputer scienceCumulative distribution functionMIMOTransmitterProbability density functionTopologyChannel capacityProbability distributionAntenna (radio)TelecommunicationsbusinessComputer Science::Information TheoryCommunication channelIEEE 5th International Symposium on Wireless Pervasive Computing 2010
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Reconstruction Improvement in Integral Fourier Holography by Micro-Scanning Method

2015

Although integral holography has many promising advantages in the field of 3D imaging, the resolution of reconstructed holographic image is still limited by the insufficient information captured. To improve the reconstruction quality, an integral Fourier holographic imaging method based on micro-scanning of the micro-lens array is proposed in this paper. The micro-scanning of the micro-lens array can increase the sampling rate in spatial frequency domain and the information of the generated Fourier hologram, which will eventually eliminate the overlapping effect in the reconstructed 3D image. Experiments for different micro-scanning modes are carried out to verify the feasibility of the pro…

business.industryComputer scienceResolution (electron density)HolographyIterative reconstructionCondensed Matter PhysicsElectronic Optical and Magnetic Materialslaw.inventionsymbols.namesakeFourier transformOpticslawFrequency domainsymbolsComputer visionDigital holographic microscopySpatial frequencyArtificial intelligenceElectrical and Electronic EngineeringbusinessImage resolutionJournal of Display Technology
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Statistical properties of the capacity of Rice channels with MRC and EGC

2009

In this paper, we have studied the statistical properties of the capacity of Rice channels for both maximal ratio combining (MRC) and equal gain combining (EGC) schemes. We have analyzed the effect of the number of diversity branches and the amplitude of the line-of-sight (LOS) components in the diversity branches on the statistics of the channel capacity. Specifically, we have derived analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the capacity of Rice channels when using MRC and EGC. It is observed that if the number of diversity branches or the amplitude of the LOS…

business.industryCumulative distribution functionProbability density functionrespiratory systemAntenna diversityChannel capacitySignal-to-noise ratioAmplitudeStatisticsWirelessMaximal-ratio combiningbusinessTelecommunicationshuman activitiesComputer Science::Information TheoryMathematics2009 International Conference on Wireless Communications & Signal Processing
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