Search results for "Machine"

showing 10 items of 2592 documents

Why Translation Is Difficult

2017

The paper develops a definition of translation literality that is based on the syntactic and semantic similarity of the source and the target texts. We provide theoretical and empirical evidence that absolute literal translations are easy to produce. Based on a multilingual corpus of alternative translations we investigate the effects of cross-lingual syntactic and semantic distance on translation production times and find that non-literality makes from-scratch translation and post-editing difficult. We show that statistical machine translation systems encounter even more difficulties with non-literality.

Linguistics and LanguageTranslationStatistical machine translationMachine translationComputer science02 engineering and technologycomputer.software_genreMachine translation software usability050105 experimental psychologyLanguage and LinguisticsExample-based machine translationRule-based machine translation0202 electrical engineering electronic engineering information engineeringPost-editing0501 psychology and cognitive sciencesDynamic and formal equivalencebusiness.industryCommunication05 social sciencesTransfer-based machine translationLinguisticsNon-literalityComputer-assisted translation020201 artificial intelligence & image processingSynchronous context-free grammarArtificial intelligencebusinesscomputerNatural language processingHermes
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Real-time Control of Metallurgic Processes

1996

The careful control of the liquid metal solidification and the solid shell growth is of central importance in all metallurgic processes. These have a considerable influence on the formation of cracks and other defects which can be formed in the cast material. To ensure defect free products, the liquid metal is to be cooled down according to a pattern which depends i.e. on metal grade, product dimension, cooling speed and machine design. On the other hand, the control of the liquid/solid interface is a key element in optimising the liquid solidification with respect to good productivity. So, the heat transfer plays a very important role in metallurgic casting processes, especially when casti…

Liquid metalMaterials scienceCasting (metalworking)Real-time Control SystemHeat transferMetallurgyDefect freeCooling speedMachine designSolid shell
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'No speech at my command will fit the forms in my mind': Shaping the Spiritual through Writing and Typing in George MacDonald’s Lilith Manuscripts

2020

International audience; In “Lilith B” (1893), the most extensively rewritten draft of George MacDonald’s fantasy novel Lilith (1895), puzzling triangular-shaped insertions, some handwritten and some typed, although not retained in the later versions of the text, allow for a better understanding of the creative process and show how the material crafting of the manuscript, through collage and combination techniques, played a part in the invention of fantasy. The introduction of the typewriter as a new drafting tool in MacDonald’s writing habits, not only for copying but also for revising, corresponds to a shift in the metaphorical and allegorical system which enables the parallel worlds of th…

LiteratureCopying[SHS.LITT]Humanities and Social Sciences/Literaturebusiness.industryTheory of Formsmedia_common.quotation_subjectParallel universeGeorge MacDonaldArtmachine à écrire[SHS.LITT] Humanities and Social Sciences/Literaturefantasy literatureGEORGE (programming language)LilithHEROTypewriterThe SymbolicTextual criticismFantasyFunction (engineering)businessGénétique textuellespiritualitémedia_common
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'The Drawing on the Margin of Cambridge, Corpus Christi College 206, F. 38R: An Intertextual Exemplification to Clarify the Text?'

2007

LiteratureExemplificationHistoryMargin (machine learning)business.industrybusiness
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Video-Based Depression Detection Using Local Curvelet Binary Patterns in Pairwise Orthogonal Planes

2016

International audience; Depression is an increasingly prevalent mood disorder. This is the reason why the field of computer-based depression assessment has been gaining the attention of the research community during the past couple of years. The present work proposes two algorithms for depression detection, one Frame-based and the second Video-based, both employing Curvelet transform and Local Binary Patterns. The main advantage of these methods is that they have significantly lower computational requirements, as the extracted features are of very low dimensionality. This is achieved by modifying the previously proposed algorithm which considers Three-Orthogonal-Planes, to only Pairwise-Ort…

Local binary patternsFeature extractionVideo Recording02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMachine learningcomputer.software_genreField (computer science)0502 economics and business0202 electrical engineering electronic engineering information engineeringCurveletHumansDiagnosis Computer-Assisted[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryDepression05 social sciencesReproducibility of ResultsPattern recognitionActive appearance modelFaceBenchmark (computing)020201 artificial intelligence & image processingPairwise comparisonArtificial intelligencebusinessPsychologycomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing050203 business & managementAlgorithmsCurse of dimensionality
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Brain-predicted age difference score is related to specific cognitive functions: A multi-site replication analysis

2021

Abstract Brain-predicted age difference scores are calculated by subtracting chronological age from ‘brain’ age. Positive scores reflect accelerated ageing and are associated with increased mortality risk and poorer physical function. To date, however, the relationship between brain-predicted age difference scores and specific cognitive functions has not been systematically examined. First, applying machine learning to 1,359 T1-weighted MRI scans, we predicted the relationship between chronological age and voxel-wise grey matter data. This model was then applied to MRI data from three independent datasets, significantly predicting chronological age: Dokuz Eylul University (n=175), the Cogni…

Longitudinal studymedicine.medical_specialtyCognitive NeuroscienceNeuroimagingBrain--AgingAudiologyNeuropsychological Tests050105 experimental psychologyArticle03 medical and health sciencesBehavioral NeuroscienceCellular and Molecular Neuroscience0302 clinical medicineCognitionNeuroimagingMachine learningmedicineVerbal fluency testHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingLongitudinal StudiesSettore MAT/07 - Fisica MatematicaEpisodic memoryCognitive reserveWorking memoryBiochemical markers05 social sciencesCognitive flexibilityNeuropsychologyBrainCognitionBiomarkers Brain ageing Cognitive ageing Cognitive function MRI Machine learningMagnetic Resonance ImagingPsychiatry and Mental healthNeurologyAgeingNeurology (clinical)Psychology030217 neurology & neurosurgery
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The Engineering of a Compression Boosting Library: Theory vs Practice in BWT Compression

2006

Data Compression is one of the most challenging arenas both for algorithm design and engineering. This is particularly true for Burrows and Wheeler Compression a technique that is important in itself and for the design of compressed indexes. There has been considerable debate on how to design and engineer compression algorithms based on the BWT paradigm. In particular, Move-to-Front Encoding is generally believed to be an "inefficient " part of the Burrows-Wheeler compression process. However, only recently two theoretically superior alternatives to Move-to-Front have been proposed, namely Compression Boosting and Wavelet Trees. The main contribution of this paper is to provide the first ex…

Lossless compressionBoosting (machine learning)Computer sciencebusiness.industrySupervised learningCompression Boosting LibraryData_CODINGANDINFORMATIONTHEORYMachine learningcomputer.software_genreWaveletAlgorithm designArtificial intelligencebusinesscomputerAlgorithmsData compression
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From First Principles to the Burrows and Wheeler Transform and Beyond, via Combinatorial Optimization

2007

AbstractWe introduce a combinatorial optimization framework that naturally induces a class of optimal word permutations with respect to a suitably defined cost function taking into account various measures of relatedness between words. The Burrows and Wheeler transform (bwt) (cf. [M. Burrows, D. Wheeler, A block sorting lossless data compression algorithm, Technical Report 124, Digital Equipment Corporation, 1994]), and its analog for labelled trees (cf. [P. Ferragina, F. Luccio, G. Manzini, S. Muthukrishnan, Structuring labeled trees for optimal succinctness, and beyond, in: Proc. of the 45th Annual IEEE Symposium on Foundations of Computer Science, 2005, pp. 198–207]), are special cases i…

Lossless compressionBoosting (machine learning)General Computer ScienceComputer scienceComputationData_CODINGANDINFORMATIONTHEORYLyndon wordOptimal word permutationTheoretical Computer ScienceCombinatoricsPermutationSuffix treeCombinatorial optimizationBurrows–Wheeler transformTime complexityComputer Science(all)
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Maximum Torque per Ampere Control strategy for low-saliency ratio IPMSMs

2019

This paper deals with electrical drives employing low-saliency ratio interior permanent magnet synchronous motors. In particular, in order to help the designers choosing the best control algorithm, the performances of the Maximum Torque Per Ampere Control (MTPA) and the Field Orientation Control (FOC) are here both theoretically and experimentally assessed and compared, by using, as performance indicators, the torque-current ratio and the power losses. The tests are carried out on a low-power motor for various speeds and loads by implementing the two control strategies in a dSPACE® rapid prototyping system. The results show that the Maximum Torque Per Ampere algorithm has some appreciable a…

Low saliency ratio machineMTPA control strategySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciFOC algorithmSettore ING-INF/07 - Misure Elettriche E ElettronicheIPMSM
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Development of a self-pumping extracorporeal blood oxygenation device characterized by a rotating shaft with embedded fiber packages.

2019

Introduction: To offer respiratory support for patients with lung disease, a novel technological solution for blood pumping and oxygenation is being developed. The pump–lung system was designed to integrate fiber membranes into six packages radially embedded in a rotating hollow shaft placed along the longitudinal axis of the device. Fiber packages are inclined with respect to the rotation axis so that the rotational motion of the rotating shaft allows a self-pumping system to be obtained. Method: Both hemodynamic and gas transfer performances were investigated using both in vitro experiments and in silico flow analyses. Results: The predicted flow velocity in the pump chamber was smooth an…

Lung Diseaseslung disease0206 medical engineeringBiomedical EngineeringMedicine (miscellaneous)Bioengineering02 engineering and technology030204 cardiovascular system & hematologyHeart-Lung MachineExtracorporealArtificial lungBiomaterials03 medical and health sciences0302 clinical medicineMedicineHumansComputational analysisFiberLungartificial lungOxygenators Membranebusiness.industryRespiratory supportHemodynamicsGeneral MedicineOxygenationEquipment Design020601 biomedical engineeringRespiratory supportOxygencomputational analysiLung diseaseBlood oxygenationArtificial OrgansbusinessBiomedical engineeringThe International journal of artificial organs
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