Search results for " image"

showing 10 items of 3936 documents

il volto della morte: le maschere funerarie della sepoltura dei preti morti di Gangi

2014

riassunto — Le mummie moderne e il signifcato recondito della doppia sepoltura nelle culture mediterranee moderne sono da tempo ampiamente dibattuti. In questo lavoro si discute di una particolare “collezione” di corpi di ecclesiastici, mummifcati ed esposti in un comune montano madonita della Sicilia, Gangi. I corpi, principalmente risalenti al XIX secolo, mummifcati per colatura come nella tradizione del tempo e vestiti degli abiti talari, sono esposti nel piano sottostante della Chiesa Madre, in quella che nella tradizione è detta la “fossa dei parrini” (fossa dei preti). Le mummie, a differenza di altri siti siciliani e mediterranei, sono altresì corredate di sonetto commemorativo e di …

summary — The modern mummies and the inner meaning of the double burial in Mediterranean cultures have long been debated. In this paper we discuss a particular “collection” of ecclesiastical bodies mummifed and displayed in a small mountain town of Sicily Gangi in the Madonie Mountains. The bodies dating back to the nineteenth century mummifed by pouring in the tradition of the time and carefully dressed in robes are exposed in the lower foor of the Chiesa Madre in what the tradition is called “fossa dei parrini” (pit of priests). The mummies unlike other Sicilian and Mediterranean sites are accompanied by commemorative sonnet and death mask made of fnish wax. The primary interest of our study was aimed specifcally at this particular manifestation of the double burial complex which lies in the representation of the face. The work expresses an examination of the concept of death mask in antiquity and leads to the conclusion that the place for its scenic values ritualization should be designed to the ostentation and the consolidation of the image of the Church and of the his power within the small rural society.Settore BIO/08 - Antropologia
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Automatic surrogate modelling technique selection based on features of optimization problems

2019

A typical scenario when solving industrial single or multiobjective optimization problems is that no explicit formulation of the problem is available. Instead, a dataset containing vectors of decision variables together with their objective function value(s) is given and a surrogate model (or metamodel) is build from the data and used for optimization and decision-making. This data-driven optimization process strongly depends on the ability of the surrogate model to predict the objective value of decision variables not present in the original dataset. Therefore, the choice of surrogate modelling technique is crucial. While many surrogate modelling techniques have been discussed in the liter…

surrogate modellingOptimization problemexploratory landscape analysisbusiness.industryComputer scienceautomatic algorithm selection0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesmonitavoiteoptimointiSurrogate modeloptimointi010201 computation theory & mathematicsalgoritmit0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessClassifier (UML)computer
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Synchrotron x-ray transmission measurements and modeling of filters investigated for Athena

2020

International audience; Advanced Telescope for High-Energy Astrophysics is a large-class astrophysics space mission selected by the European Space Agency to study the theme "Hot and Energetic Universe." The mission essentially consists of a large effective area x-ray telescope and two detectors: the X-ray Integral Field Unit (X-IFU) and the Wide Field Imager (WFI). Both instruments require filters to shield from out-of-band radiation while providing high transparency to x-rays. The mission is presently in phase B; thus, to consolidate the preliminary design, investigated filter materials need to be properly characterized by experimental test campaigns. We report results from high-resolution…

synchrotron radiationComputer scienceAstrophysics::High Energy Astrophysical PhenomenaMechanical EngineeringAstrophysics::Instrumentation and Methods for AstrophysicsSynchrotron radiationtelescopesAstronomy and AstrophysicsElectronic Optical and Magnetic Materialslaw.inventionTelescopeFilter designSettore FIS/05 - Astronomia E AstrofisicaTransmission (telecommunications)Space and Planetary ScienceControl and Systems EngineeringlawFilter (video)[SDU]Sciences of the Universe [physics]CalibrationOptical filterInstrumentationDigital filterastrophysics space mission Athena optical and thermal filters Wide Field Imager X-ray Integral Field Unit x-ray transmissionRemote sensing
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Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system

2017

We tackle three different challenges in solving a real-world industrial problem: formulating the optimization problem, connecting different simulation tools and dealing with computationally expensive objective functions. The problem to be optimized is an air intake ventilation system of a tractor and consists of three computationally expensive objective functions. We describe the modeling of the system and its numerical evaluation with a commercial software. To obtain solutions in few function evaluations, a recently proposed surrogate-assisted evolutionary algorithm K-RVEA is applied. The diameters of four different outlets of the ventilation system are considered as decision variables. Fr…

ta1130209 industrial biotechnologyMathematical optimizationnumerical modelsOptimization problemlineaarinen optimointiLinear programmingComputer sciencesoftwarehydraulijärjestelmätventilationEvolutionary algorithmlinear programming02 engineering and technologyFunction (mathematics)Set (abstract data type)resistance020901 industrial engineering & automationhydraulic systemsilmanvaihto0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingShape optimizationoptimization
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Anomaly detection approach to keystroke dynamics based user authentication

2017

Keystroke dynamics is one of the authentication mechanisms which uses natural typing pattern of a user for identification. In this work, we introduced Dependence Clustering based approach to user authentication using keystroke dynamics. In addition, we applied a k-NN-based approach that demonstrated strong results. Most of the existing approaches use only genuine users data for training and validation. We designed a cross validation procedure with artificially generated impostor samples that improves the learning process yet allows fair comparison to previous works. We evaluated the methods using the CMU keystroke dynamics benchmark dataset. Both proposed approaches outperformed the previou…

ta113AuthenticationpääsynvalvontaComputer scienceaccess control02 engineering and technologycomputer.software_genreKeystroke dynamicstodentaminen020204 information systems0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Unsupervised learningauthentication020201 artificial intelligence & image processingAnomaly detectionData miningtietoturvadata securitycomputer
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Biomass estimator for NIR image with a few additional spectral band images taken from light UAS

2012

A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels.

ta113Computer scienceFabry-Perotprecision farmingNear-infrared spectroscopyPoint cloudEstimatorBiomassSpectral bandsNIRBiomass estimationfertilizerestimatorWavelength/dk/atira/pure/sustainabledevelopmentgoals/zero_hungerPrecision agriculturespectral imagerSDG 2 - Zero HungerImage resolutionRemote sensingProceedings of SPIE
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DOBRO : a prediction error correcting robot under drifts

2016

We propose DOBRO, a light online learning module, which is equipped with a smart correction policy helping making decision to correct or not the given prediction depending on how likely the correction will lead to a better prediction performance. DOBRO is a standalone module requiring nothing more than a time series of prediction errors and it is flexible to be integrated into any black-box model to improve its performance under drifts. We performed evaluation in a real-world application with bus arrival time prediction problem. The obtained results show that DOBRO improved prediction performance significantly meanwhile it did not hurt the accuracy when drift does not happen.

ta113Concept driftComputer scienceMean squared prediction error02 engineering and technologyARIMAconcept drifton-line prediction error correction020204 information systems0202 electrical engineering electronic engineering information engineeringRobot020201 artificial intelligence & image processingAutoregressive integrated moving averageSimulation
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Interface Detection Using a Quenched-Noise Version of the Edwards-Wilkinson Equation

2015

We report here a multipurpose dynamic-interface-based segmentation tool, suitable for segmenting planar, cylindrical, and spherical surfaces in 3D. The method is fast enough to be used conveniently even for large images. Its implementation is straightforward and can be easily realized in many environments. Its memory consumption is low, and the set of parameters is small and easy to understand. The method is based on the Edwards-Wilkinson equation, which is traditionally used to model the equilibrium fluctuations of a propagating interface under the influence of temporally and spatially varying noise. We report here an adaptation of this equation into multidimensional image segmentation, an…

ta113Image segmentationta114DiscretizationInterface (Java)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONobject detectionimage edge detectionImage segmentationComputer Graphics and Computer-Aided DesignGrayscaleGray-scaleObject detectionSurface topographyNoiseMathematical modelThree-dimensional displaysSegmentationTomography3D image processingNoiseSurface morphologyAlgorithmSoftwareIEEE Transactions on Image Processing
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Investigating serendipity in recommender systems based on real user feedback

2018

Over the past several years, research in recommender systems has emphasized the importance of serendipity, but there is still no consensus on the definition of this concept and whether serendipitous items should be recommended is still not a well-addressed question. According to the most common definition, serendipity consists of three components: relevance, novelty and unexpectedness, where each component has multiple variations. In this paper, we looked at eight different definitions of serendipity and asked users how they perceived them in the context of movie recommendations. We surveyed 475 users of the movie recommender system, MovieLens regarding 2146 movies in total and compared tho…

ta113Information retrievalComputer scienceSerendipityuutuudetpalautesuosittelujärjestelmätNoveltyserendipityContext (language use)02 engineering and technologyVariation (game tree)Recommender systemunexpectednessPreferenceMovieLenssattumanovelty020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)relevancerecommender systemsProceedings of the 33rd Annual ACM Symposium on Applied Computing
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Cross-Domain Recommendations with Overlapping Items

2016

In recent years, there has been an increasing interest in cross-domain recommender systems. However, most existing works focus on the situation when only users or users and items overlap in different domains. In this paper, we investigate whether the source domain can boost the recommendation performance in the target domain when only items overlap. Due to the lack of publicly available datasets, we collect a dataset from two domains related to music, involving both the users’ rating scores and the description of the items. We then conduct experiments using collaborative filtering and content-based filtering approaches for validation purpose. According to our experimental results, the sourc…

ta113Information retrievaldata collectionComputer sciencesuosittelujärjestelmät02 engineering and technologyDomain (software engineering)020204 information systemscollaborative filtering0202 electrical engineering electronic engineering information engineeringcross-domain recommendationscontent-based filtering020201 artificial intelligence & image processingrecommender systems
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