Search results for "sig"

showing 10 items of 19670 documents

Chaining in interpreted interaction : Finnish Sign Language interpreting in an English-medium educational setting

2016

Interaction is always multimodal. Multimodality means that meanings are conveyed by using different semiotic resources, such as language, gestures, facial expressions, written text and pictures. Even though it is considered that also interpreted interaction is multimodal, this aspect of the interpreters’ work is often neglected in research and focus on how interpreters utilize multimodality in their work is called for. In this study one English-medium lecture that is interpreted into Finnish Sign Language is analyzed. The lecture’s duration is approximately one hour. The focus is on one multimodal phenomenon: chaining. Chaining means that different semiotic resources are utilized, for examp…

sign language interpretingchaininginterpretingmultimodalitysemiotic resources
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Opiskelutulkin työ ja työtyytyväisyys

1998

sign language interpretingviittomakielideafnesseducational interpreterinterpretingkuurousopiskelutulkkitulkkausjob satisfactiontyötyytyväisyys
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How long is the sign?

2015

AbstractThis paper deals with the relative empirical length of signs in sign languages and provides evidence for the view that they are actually longer units than has hitherto been recognized. The evidence is presented from two perspectives: those of sign articulation and sign recognition. Concerning sign articulation, it is suggested that signs are longer units than is currently assumed because most of the structural features of signs are in fact already present before the currently accepted beginnings of signs and they continue after signs' generally accepted endings. Concerning sign recognition, the longer view of the sign is proposed on the grounds that the recognition point of signs is…

signLinguistics and Languagelinear signsign recognitionPhoneticsSign languageLanguage and LinguisticsLinguisticsviittomakielisign articulationlength of signfonetiikkaPsychologySign (mathematics)Linguistics
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SingleChannelNet : A model for automatic sleep stage classification with raw single-channel EEG

2022

In diagnosing sleep disorders, sleep stage classification is a very essential yet time-consuming process. Various existing state-of-the-art approaches rely on hand-crafted features and multi-modality polysomnography (PSG) data, where prior knowledge is compulsory and high computation cost can be expected. Besides, it is a big challenge to handle the task with raw single-channel electroencephalogram (EEG). To overcome these shortcomings, this paper proposes an end-to-end framework with a deep neural network, namely SingleChannelNet, for automatic sleep stage classification based on raw single-channel EEG. The proposed model utilizes a 90s epoch as the textual input and employs two multi-conv…

signaalinkäsittelyBiomedical EngineeringsignaalianalyysiHealth InformaticsSleep stage classificationConvolutional neural networkRaw single-channel EEGneuroverkotuni (lepotila)koneoppiminenSignal ProcessingContextual inputEEGunihäiriöt
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Image inpainting using directional wavelet packets originating from polynomial splines

2020

The paper presents a new algorithm for the image inpainting problem. The algorithm is using a recently designed versatile library of quasi-analytic complex-valued wavelet packets (qWPs) which originate from polynomial splines of arbitrary orders. Tensor products of 1D qWPs provide a diversity of 2D qWPs oriented in multiple directions. For example, a set of the fourth-level qWPs comprises 62 different directions. The properties of the presented qWPs such as refined frequency resolution, directionality of waveforms with unlimited number of orientations, (anti-)symmetry of waveforms and windowed oscillating structure of waveforms with a variety of frequencies, make them efficient in image pro…

signaalinkäsittelyComputer scienceImage and Video Processing (eess.IV)Inpainting020206 networking & telecommunicationsImage processing02 engineering and technologykuvankäsittelyElectrical Engineering and Systems Science - Image and Video ProcessingWavelet packet decompositionImage (mathematics)Set (abstract data type)Tensor productalgoritmitSignal Processing0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringWaveform020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringAlgorithmSoftwareVariable (mathematics)
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Applying Hilbert-Huang transform to mismatch negativity

2009

signaalinkäsittelyHilbert-Huang -muunnosdysleksiaADHDEEG
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Extraction of event-related potentials from electroencephalography data

2009

signaalinkäsittelydenoisingelektrofysiologiaElectroencephalographyEEGEvoked potentialsevent-related potentialssignal processingERPherätepotentiaalit
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French PhDs employed in private sector. The signal effect of chaotic pathways

2017

International audience; This research deals with the question of french PhDs´ career trajectories and especially those that lead to private sector employment. Using longitudinal survey "Generation" from Cereq, which allows to observe professional paths over the first five years of working life, we show that for PhDs graduated in 2010, public-sector research remains the main opening.There are few career paths leading to private sector and PhDs working in firms found their job at a very early stage in their working life. Using data analysis and econometrics methods we find that thesis conditions, professional expectations and cahotic pathways are obstacles to employment in firms.

signal effect[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/Educationemploymentprivate sectorPhD[ SHS.EDU ] Humanities and Social Sciences/EducationFrancechaotic pathway
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"Postfit yields Y(4S)" of "Search for $B^{+}\to K^{+}\nu\bar{\nu}$ decays using an inclusive tagging method at Belle II"

2022

Yields in on-resonance data and as predicted by the simultaneous fit to the on- and off-resonance data, corresponding to an integrated luminosity of 63 and 9 fb$^{−1}$, respectively. The predicted yields are shown individually for charged and neutral B-meson decays and the five continuum background categories. The leftmost three bins belong to the first control region (CR1) with BDT$_{2} \in [0.93; 0.95]$ and the other nine bins correspond to the signal region (SR), three for each range of BDT$_{2} \in [0.95; 0.97; 0.99; 1.0]$. Each set of three bins is defined by $p_{T}(K^{+}) \in [0.5; 2.0; 2.4; 3.5] \rm{GeV}/c^{2}$.

signal strenghth $\mu$electroweak penguin decay$B^+ \rightarrow K^+\nu\bar\nu$FCNCmissing energyb --> s l l transition
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"Postfit yields off-resonance" of "Search for $B^{+}\to K^{+}\nu\bar{\nu}$ decays using an inclusive tagging method at Belle II"

2022

Yields in off-resonance data and as predicted by the simultaneous fit to the on- and off-resonance data, corresponding to an integrated luminosity of 63 and 9 fb$^{−1}$, respectively. The predicted yields are shown individually for the five continuum background categories. The leftmost three bins belong to the third control region (CR3) with BDT$_{2} \in [0.93; 0.95]$ and the other nine bins correspond to the second control region (CR2), three for each range of BDT$_{2} \in [0.95; 0.97; 0.99; 1.0]$. Each set of three bins is defined by $p_{T}(K^{+}) \in [0.5; 2.0; 2.4; 3.5] \rm{GeV}/c^{2}$.

signal strenghth $\mu$electroweak penguin decay$B^+ \rightarrow K^+\nu\bar\nu$FCNCmissing energyb --> s l l transition
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