Search results for "computer.file_format"

showing 10 items of 214 documents

Monitoring few molecular binding events in scalable confined aqueous compartments by raster image correlation spectroscopy (CADRICS)

2016

The assembly of scalable liquid compartments for binding assays in array formats constitutes a topic of fundamental importance in life sciences. This challenge can be addressed by mimicking the structure of cellular compartments with biological native conditions. Here, inkjet printing is employed to develop up to hundreds of picoliter aqueous droplet arrays stabilized by oil-confinement with mild surfactants (Tween-20). The aqueous environments constitute specialized compartments in which biomolecules may exploit their function and a wide range of molecular interactions can be quantitatively investigated. Raster Image Correlation Spectroscopy (RICS) is employed to monitor in each compartmen…

0301 basic medicineStreptavidinBiomedical EngineeringMolecular bindingBiotinBioengineeringNanotechnology02 engineering and technologydroplets microarrays inkjet printing Raster Image Correlation Spectroscopy water-in-oil emulsion StreptvidinBiochemistry03 medical and health scienceschemistry.chemical_compoundCompartment (pharmacokinetics)Cellular compartmentchemistry.chemical_classificationAqueous solutionSpectrum AnalysisBiomoleculeWaterGeneral Chemistrycomputer.file_formatMicroarray Analysis021001 nanoscience & nanotechnology030104 developmental biologychemistryPrintingInkStreptavidinRaster graphics0210 nano-technologycomputerTwo-dimensional nuclear magnetic resonance spectroscopyLab on a Chip
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Main Steps in Image Processing and Quantification: The Analysis Workflow

2019

In the last decades, the variety of programs, algorithms, and strategies that researchers have at their disposal to process and analyze image files has grown extensively. However, these are only pointless tools if not applied with the careful planning required to achieve a succesful image analysis. In order to do so, the analyst must establish a meaningful and effective sequence of orderly operations that is able to (1) overcome all the problems derived from the image manipulation and (2) successfully resolve the question that was originally posed. In this chapter, the authors suggest a set of strategies and present a reflection on the main milestones that compose the image processing workf…

0303 health sciencesReflection (computer programming)Process (engineering)Computer sciencebusiness.industryImage processingcomputer.file_formatVariety (cybernetics)Set (abstract data type)03 medical and health sciences0302 clinical medicineWorkflowImage file formatsSoftware engineeringbusinesscomputer030217 neurology & neurosurgery030304 developmental biology
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Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions

2019

Agent-Based Modelling has been used for social simulation because of the several benefits it entails. Social models are often constructed by inter-disciplinary teams that include subject-matter experts with no programming skills. These experts are typically involved in the creation of the conceptual model, but not the verification or validation of the simulation model. The Overview, Design concepts, and Details (ODD) protocol has emerged as a way of presenting a model at a high level of abstraction and as an effort towards improving the reproducibility of Agent-Based Models (ABMs) but it is typically written after a model has been completed. This paper reverses the process and provides non-…

050101 languages & linguisticsComputer scienceNetLogobusiness.industryProcess (engineering)05 social sciencesConceptual model (computer science)02 engineering and technologycomputer.file_formatMetamodeling0202 electrical engineering electronic engineering information engineeringVDP::Samfunnsvitenskap: 200020201 artificial intelligence & image processing0501 psychology and cognitive sciencesCode generationExecutableSoftware engineeringbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550computerProtocol (object-oriented programming)computer.programming_languageSocial simulation
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A Smart Contract Based Recommender System

2019

Nowadays information available on the World Wide Web has reached unprecedented growth and it makes difficult for users to find the most relevant for them. In order to alleviate such issue, Recommender Systems (RSs) have been proposed to collect opinions and preferences about a set of items, process such preferences and build a personalized information access. While the most part of current RSs exploit centralized architecture to provide the service, in this manuscript we propose an alternative approach for building a general purpose RSs that provides to users with more transparent and decentralized rating strategy. Indeed, the proposed framework is built on top of a Distributed Ledger techn…

050101 languages & linguisticsSmart contractComputer scienceProcess (engineering)RSS05 social sciencesDistributed Ledger TechnologySmart contractInformation accessBlockchain; Distributed Ledger Technology; Recommender system; Smart contract02 engineering and technologycomputer.file_formatRecommender systemWorld Wide WebDistributed Ledger Technology · Recommender system · Blockchain · Smart contracBlockchainOrder (business)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencesRecommender systemSet (psychology)computer
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Color constancy in dermatoscopy with smartphone

2017

The recent spread of cheap dermatoscopes for smartphones can empower patients to acquire images of skin lesions on their own and send them to dermatologists. Since images are acquired by different smartphone cameras under unique illumination conditions, the variability in colors is expected. Therefore, the mobile dermatoscopic systems should be calibrated in order to ensure the color constancy in skin images. In this study, we have tested a dermatoscope DermLite DL1 basic, attached to Samsung Galaxy S4 smartphone. Under the controlled conditions, jpeg images of standard color patches were acquired and a model between an unknown device-dependent RGB and a device independent Lab color space h…

:MEDICINE [Research Subject Categories]Computer scienceDermatoscopesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologysmartphone01 natural sciences0202 electrical engineering electronic engineering information engineeringmedicineComputer visionDermatoscopyColor constancymedicine.diagnostic_testbusiness.industry010401 analytical chemistry020206 networking & telecommunicationscomputer.file_formatJPEGcolor reproduction accuracy0104 chemical sciencesdermatologymedicine.anatomical_structure:NATURAL SCIENCES::Physics::Atomic and molecular physics [Research Subject Categories]Lab color spaceRGB color modelHuman eyetelemedicineArtificial intelligencecolor constancybusinessSkin lesioncomputerBiophotonics—Riga 2017
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Machine learning for rapid mapping of archaeological structures made of dry stones – Example of burial monuments from the Khirgisuur culture, Mongoli…

2020

11 pages; International audience; The present study proposes a workflow to extract from orthomosaics the enormous amount of dry stones used by past societies to construct funeral complexes in the Mongolian steppes. Several different machine learning algorithms for binary pixel classification (i.e. stone vs non-stone) were evaluated. Input features were extracted from high-resolution orthomosaics and digital elevation models (both derived from aerial imaging). Comparative analysis used two colour spaces (RGB and HSV), texture features (contrast, homogeneity and entropy raster maps), and the topographic position index, combined with nine supervised learning algorithms (nearest centroid, naive…

Archeology010504 meteorology & atmospheric sciences[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)Topographic position index[SDV]Life Sciences [q-bio]ConservationMachine learningcomputer.software_genre01 natural sciences[SHS]Humanities and Social SciencesNaive Bayes classifierVector graphicsPixel classification[SCCO]Cognitive sciencePixel classification Grey level co-occurrence matrix RGB colour space Texture Topographic position index Photogrammetry Burial complex planigraphy Mongolia Bronze age Iron age0601 history and archaeologyTextureSpectroscopyRGB colour space0105 earth and related environmental sciencesBronze age060102 archaeologyArtificial neural networkbusiness.industryIron ageCentroidGrey level co-occurrence matrix06 humanities and the artscomputer.file_formatMongoliaArchaeologyRandom forestSupport vector machinePhotogrammetryChemistry (miscellaneous)Photogrammetry[SDE]Environmental SciencesBurial complex planigraphyArtificial intelligenceRaster graphicsbusinessGeneral Economics Econometrics and Financecomputer
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Documenting carved stones by 3D modelling – Example of Mongolian deer stones

2018

Rock art studies are facing major technical challenges for extensive documentation. Nowadays, recording is essentially obtained from time-consuming tracing and rubbing, techniques that also require a high level of expertise. Recent advances in 3D modelling of natural objects and computational treatment of the modelled surfaces may provide an alternative, and reduce the current documentation bottleneck. The aim of this study is to examine the extent to which such treatments can be applied. The case study presented here concerns the famous deer stones erected by ancient Mongolian nomad populations. The 3D acquisition workflow is based on structure-from-motion, a versatile photogrammetric tech…

ArcheologyEngineering drawing[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)Late Bronze AgeConservationDocumentationTracing01 natural sciencesBottleneckDocumentation0601 history and archaeologyRock artSpectroscopyRecording methods060102 archaeology010401 analytical chemistryVisibility (geometry)06 humanities and the artscomputer.file_formatMongolia15. Life on landPositive openness0104 chemical sciencesPhotogrammetryWorkflowArchaeologyChemistry (miscellaneous)Photogrammetry[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesRock artRaster graphicsGeneral Economics Econometrics and Financecomputer
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Digital Mosaic Frameworks - an overview

2007

Art often provides valuable hints for technological innovations especially in the field of Image Processing and Computer Graphics. In this paper we survey in a unified framework several methods to transform raster input images into good quality mosaics. For each of the major different approaches in literature the paper reports a short description and a discussion of the most relevant issues. To complete the survey comparisons among the different techniques both in terms of visual quality and computational complexity are provided.

Architecture Fine Arts Picture/Image GenerationThesaurus (information retrieval)MultimediaComputer sciencemedia_common.quotation_subjectNon-Photo-realistic RenderingMosaic (geodemography)Image processingcomputer.file_formatcomputer.software_genreComputer Graphics and Computer-Aided DesignData scienceMosaicField (computer science)Computer graphicsArtificial Mosaic; Non-Photo-realistic RenderingArtificial MosaicQuality (business)Raster graphicscomputermedia_common
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Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

2016

The choice of the proper resolution in landslide susceptibility mapping is a worth considering issue. If, on the one hand, a coarse spatial resolution may describe the terrain morphologic properties with low accuracy, on the other hand, at very fine resolutions, some of the DEM-derived morphometric factors may hold an excess of details. Moreover, the landslide inventory maps are represented throughout geospatial vector data structure, therefore a conversion procedure vector-to-raster is required.This work investigates the effects of raster resolution on the susceptibility mapping in conjunction with the use of different algorithms of vector-raster conversion. The Artificial Neural Network t…

Artificial neural networkResamplingEnvironmental EngineeringGeospatial analysis010504 meteorology & atmospheric sciencesComputer scienceArtificial neural network; Grid-cell size; Landslide susceptibility mapping; Resampling; Vector-to-raster conversion; Ecological Modeling; Environmental Engineering; Software0208 environmental biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTerrain02 engineering and technologycomputer.software_genre01 natural sciencesArray data structureGrid-cell sizeImage resolutionLandslide susceptibility mapping0105 earth and related environmental sciencesArtificial neural networkEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVector-to-raster conversionLandslidecomputer.file_format020801 environmental engineeringPolygonRaster graphicscomputerAlgorithmSoftwareEnvironmental Modelling & Software
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A New Framework for the Extraction of Contour Lines in Scanned Topographic Maps

2010

3D simulations requested in various applications had led to the development of fast and accurate terrain topography measurement techniques. In this paper, we are presenting a novel framework dedicated to the semiautomatic processing of scanned maps, extracting the contour lines vectors and building a digital elevation model on their basis, fulfilled by a number of stages discussed in detail throughout the work. Despite the good results obtained on a large amount of scanned maps, a completely automatic map processing technique is unrealistic and remains an open problem.

Basis (linear algebra)business.industryComputer scienceBinary imageOpen problemTerraincomputer.file_formatContour lineComputer visionArtificial intelligenceRaster graphicsDigital elevation modelbusinesscomputer
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