Search results for "processing"

showing 10 items of 8572 documents

Biomass Waste Processing into Artificial Humic Substances

2021

Abstract To address the biomass waste processing problem and transform it into refractory forms of carbon, recently suggested hydrothermal carbonization (HTC) of biomass in alkaline environment can be considered as a prospective and climate neutral approach. Biomass HTC provides possibilities to obtain form of biochar (hydrochar) and artificial humic substances, however the conditions of the HTC have not been much studied. Optimization by Response Surface Methodology of the HTC using microwave treatment with three experimental variables (treatment temperature, length of microwave treatment, amount of biomass per volume) provides the possibility to significantly increase the yield of humic s…

humic substancesRenewable Energy Sustainability and the EnvironmentChemistrybiomass wasteTJ807-830BiomassPulp and paper industrycomplex mixturesdigestive system diseasesRenewable energy sourceshydrothermal carbonizationartificial humic acidsGeneral Environmental ScienceWaste processingEnvironmental and Climate Technologies
researchProduct

Processing Mechanism of Chinese Verbal Jokes : Evidence from ERP and Neural Oscillations

2019

The cognitive processing mechanism of humor refers to how the system of neural circuitry and pathways in the brain deals with the incongruity in a humorous manner. The past research has revealed different stages and corresponding functional brain activities involved in humor-processing in terms of time and space dimensions, highlighting the effects of the time windows of about 400 ms, 600 ms, and 900 ms. However, much less is known about humor processing in light of the frequency dimension. A total of 36 Chinese participants were recruited in this experiment, with Chinese jokes, nonjokes, and nonsensical sentences used as the stimuli. The experimental results showed that there were signific…

humor processingP200 effectsignaalianalyysibeta bandkognitiivinen neurotiedekognitiiviset prosessithuumori
researchProduct

A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python

2021

Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical laboratory. The software also corrects an aberration which we call tilt. The tilt is specific for the particular imager design used, but correcting it may be beneficial for other similar devices. The tilt and spectral smile were reduced to zero in terms of used metrics. The software artifact is available as an open-source Github repository. We also present improved casing for the imager design, …

hyperspectral imagerspektrikuvaustietokoneohjelmatComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONdo it yourselflcsh:Chemical technologyoptical aberrationaberration correctionArticlespectral smileavoin lähdekoodioptiset laitteettutkimusvälineetlcsh:TP1-1185open-sourceSensors
researchProduct

The common sense model of illness self-regulation : a conceptual review and proposed extended model

2021

The common sense model of illness self-regulation outlines the dynamic processes by which individuals perceive, interpret, and respond to health threats and illness-related information. An extended version of the model is proposed, which specifies additional constructs and processes to explain how lay perceptions of health threats impact coping responses and health-related outcomes. The extended model provides detail on: (a) the mediating process by which individuals’ illness representations relate to illness outcomes through adoption of coping procedures; (b) how illness representations are activated by presentation of health-threatening stimuli; (c) behavioral and treatment beliefs as det…

illness perceptionsparallel-processing modelterveyspsykologiaselviytyminenterveydentilasosiaalinen kognitioitsesääntelysocial cognitionself-regulation theory7.1 Individual care needscoping proceduresterveyskäyttäytyminenBehavioral and Social SciencePsychologyillness cognitionsairaudetMental healthterve järkiManagement of diseases and conditionsMind and Body
researchProduct

Restoration and Enhancement of Historical Stereo Photos

2021

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed, referred to as Stacked Median Restoration plus (SMR+). The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it …

image denoisingComputer sciencemedia_common.quotation_subjectNoise reductionComputer applications to medicine. Medical informaticsR858-859.7ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyimage restorationArticleoptical flowgradient filteringPhotography0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)historical photosContrast (vision)Radiology Nuclear Medicine and imagingComputer visionimage enhancementElectrical and Electronic EngineeringTR1-1050stereo matchingImage restorationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioniguided supersamplingImage fusionSettore INF/01 - Informaticabusiness.industry020206 networking & telecommunicationsSupersamplingQA75.5-76.95stacked medianComputer Graphics and Computer-Aided DesignTransmission (telecommunications)Electronic computers. Computer science020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessimage denoising image restoration image enhancement stereo matching optical flow gradient filtering stacked median guided supersampling historical photosJournal of Imaging
researchProduct

Space-Frequency Quantization for Image Compression With Directionlets

2007

The standard separable 2-D wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to efficiently capture 1-D discontinuities, like edges or contours. These features, being elongated and characterized by geometrical regularity along different directions, intersect and generate many large magnitude wavelet coefficients. Since contours are very important elements in the visual perception of images, to provide a good visual quality of compressed images, it is fundamental to preserve good reconstruction of these directional features. In our previous work, we proposed a construction of critic…

image orientation analysisMultiresolution analysisVideo RecordingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingnonseparable transformsmultiresolution analysisRate–distortion theoryWaveletDVMsImage Interpretation Computer-AssistedComputer GraphicsComputer visionQuantization (image processing)image codingimage segmentationMathematicsbusiness.industryWavelet transformNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedWTsData CompressionImage EnhancementComputer Graphics and Computer-Aided Designwavelet transformsdirectional vanishing momentsdirectional transformsArtificial intelligencebusinessAlgorithmsSoftwareImage compressionData compressionIEEE Transactions on Image Processing
researchProduct

Micro-architecture of three-dimensional porous scaffolds evaluated via image processing technique

2011

image processing technique porous scaffolds
researchProduct

Multi-modal Image Registration Using Fuzzy Kernel Regression

2009

This paper presents a study aimed to the realization of a novel multiresolution registration framework. The transformation function is computed iteratively as a composition of local deformations determined by the maximization of mutual information. At each iteration, local transformations are joint together using fuzzy kernel regression. This technique represents the core of the mothod and it's formally described from a probabilistic perspective. It avoids blocking artifacts and allows to keep the final deformation spatially congruent and smooth. Both qualitative and quantitative experimental results show that this approach is equally effective for registering datasets acquired from both si…

image registration fuzzy kernel regression mutual information clusteringSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryFuzzy setProbabilistic logicImage registrationPattern recognitionMutual informationFuzzy logicKernel (image processing)Kernel regressionArtificial intelligenceCluster analysisbusinessMathematics
researchProduct

Active lighting applied to three dimensional reconstruction of specular metallic surfaces by polarization imaging

2005

This thesis deals with a new automated tridimensional inspection system for specular metallic surfaces, based on polarization analysis. We first present an extension of the ‘Shape from Polarization' method for dielectric to metallic surfaces. After being reflected, an unpolarized light wave becomes partially linearly polarized, depending on the surface normal and on the refractive index of the media it impinges on. Hence, by measuring the polarization parameters of the reflected light, the surface normals are computed. The ambiguity concerning the normals orientation is solved here with a new active lighting system. Then, we describe and compare numerical methods for reconstructing the trid…

imagerie polarimétriqueéclairage actifacquisition tridimensionnellespecular metallic surfacesactive lighting systemshape from polarizationsurfaces métal- liques spéculaireschamp de normalestridimensional acquisitionheight from gradients[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
researchProduct

Memory-Efficient Sliding Window Progressive Meshes

2007

Progressive mesh is a data structure that encodes a continuous spectrum of mesh approximations. Sliding window progressive meshes (SWPM) minimize data transfers between CPU and GPU by storing mesh data in static on-GPU memory buffers [For01]. The main disadvantages of the original SWPM algorithm are poor vertex cache usage efficiency, and big resulting datasets. Connectivity-based algorithm [KT04] achieves a good vertex cache coherence but it does not address the problem of high memory utilization. In this paper, we describe estimates for the size of memory buffers, and describe methods to reduce the index datasets. We achieve 20% reduction due to the use hierarchical data structures (clust…

independent setsgraphic processing unitsprogresivní mřížkymíra detailunezávislé setylevel of detailComputingMethodologies_COMPUTERGRAPHICSgrafická procesoryprogressive meshes
researchProduct