• Self-Supervised Vision-Based Detection of the Active Speaker as Support for Socially-Aware Language Acquisition 

      Stefanov, Kalin; Beskow, Jonas; Salvi, Giampiero (Journal article; Peer reviewed, 2019)
      This paper presents a self-supervised method for visual detection of the active speaker in a multi-person spoken interaction scenario. Active speaker detection is a fundamental prerequisite for any artificial cognitive ...
    • Selvrekonfigurering av FPGA 

      Gravdal, Fredrik (Master thesis, 2007)
      Den tradisjonelle designflyten i utviklingen av mikroelektronikk forutsetter at alle utviklingsaktivitetene er unnagjort pre-kjøretid, og at ferdiggenererte, udelelige konfigurasjonsfiler brukes for å konfigurere brikkene. ...
    • Semantically Meaningful Metrics for Norwegian ASR Systems 

      Rugayan, Janine Lizbeth Cabrera; Svendsen, Torbjørn Karl; Salvi, Giampiero (Peer reviewed; Journal article, 2022)
      Evaluation metrics are important for quanitfying the performance of Automatic Speech Recognition (ASR) systems. However, the widely used word error rate (WER) captures errors at the word-level only and weighs each error ...
    • A Semi-analytical Method for Channel Modeling in Diffusion-based Molecular Communication Networks 

      Zoofaghari, Mohammad; Arjmandi, Hamidreza; Etamadi, Ali; Balasingham, Ilangko Sellappah (Peer reviewed; Journal article, 2021)
      Channel modeling is a challenging vital step towards the development of diffusion-based molecular communication networks (DMCNs). Analytical approaches for diffusion channel modeling are limited to simple and specific ...
    • Semi-supervised learning for Automatic Speech Recognition 

      Rahim, Felicia (Master thesis, 2020)
      Denne masteroppgaven undersøker et talegjenkjenningssystem som trent på en delvis annotert database innenfor fagområdet talegjenkjenning (ASR). Et dypt nevralt nettverk (DNN) klassifiserte tilstander som tilhørte individuelle ...
    • Semiconductor-graphene hybrid structures and optoelectronic devices 

      Høiaas, Ida Marie (Doctoral theses at NTNU;2020:258, Doctoral thesis, 2020)
      In order to utilise the intriguing properties discovered in nanomaterials during the last decades, structures and devices that do exactly that have to be developed. Graphene, the carbon wondermaterial discovered in 2004, ...
    • Sensing whales, storms, ships and earthquakes using an Arctic fibre optic cable 

      Landrø, Martin; Bouffaut, Léa; Kriesell, Hannah Joy; Potter, John; Rørstadbotnen, Robin André; Taweesintananon, Kittinat; Johansen, Ståle Emil; Brenne, Jan Kristoffer; Haukanes, Aksel; Schjelderup, Olaf; Storvik, Frode (Peer reviewed; Journal article, 2022)
      Our oceans are critical to the health of our planet and its inhabitants. Increasing pressures on our marine environment are triggering an urgent need for continuous and comprehensive monitoring of the oceans and stressors, ...
    • Sensor Anomaly Detection and Identification using Machine Learning for Digital Twins 

      Gunnarsson, Markus Søvik (Master thesis, 2022)
      For faget TFE4940 -- Masteroppgave, skal studentene på NTNU i Elektronisk systemdesign og innovasjon-programmet skrive en oppgave innen dere respektive spesialisering. Denne oppgaven er om å undersøke, validere og samle ...
    • Sensor Array Signal Processing for Source Localization 

      Manzano García-Muñoz, Cristina (Master thesis, 2008)
      This work is a study about source localization methods, more precisely, about beamforming approaches. The necessary background theory is provided first, and then, further developed to explain the basis of each approach. ...
    • Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0 

      Tabella, Gianluca; Di Martino, Yuri; Ciuonzo, Domenico; Paltrinieri, Nicola; Wang, Xiaodong; Salvo Rossi, Pierluigi (Chapter, 2022)
      This work tackles the distributed detection & localization of carbon dioxide (CO2) release from storage tanks caused by the opening of pressure relief devices via inexpensive sensor devices in an industrial context. A ...
    • Sensor system to monitor electrolysis process for hydrogen production 

      Jacob, Maria (Master thesis, 2021)
      Energi er ryggraden i moderne sivilisasjon og utvikling. Det er ufattelig å leve i en verden uten strøm og andre energikilder. Etter hvert som verden ekspanderer når det gjelder befolkning og med fossile drivstoff som ...
    • Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants 

      Muri, Harald Ian; Hjelme, Dag Roar (Peer reviewed; Journal article, 2021)
      Reuse, refurbishing, and recycling are the most sustainable options for handling waste materials. However, for municipal solid waste (MSW) that is highly heterogenic, crude, contaminated, and decrepit, thermal conversion ...
    • Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture 

      Darvishi, Hossein; Ciuonzo, Domenico; Eide, Eivind R.; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2021)
      Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This ...
    • Sensorimotor Synchronization in Embodied Rhythmic Agents 

      Darabi, Nima (Doctoral theses at NTNU;2024:150, Doctoral thesis, 2024)
      This thesis aims at modeling rhythmic collaboration to develop algorithms that can be implemented as an “embodied SMS agent,” an agent capable of coordinating rhythmically with its environment in a human way. This work ...
    • Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter 

      Boehler, Lukas; Daniol, Mateusz; Sroka, Ryszard; Osinski, Dominik; Keller, Anton (Peer reviewed; Journal article, 2021)
      Surgical procedures involve major risks, as pathogens can enter the body unhindered. To prevent this, most surgical instruments and implants are sterilized. However, ensuring that this process is carried out safely and ...
    • Sensorsystemer integrert med roboter for effektivisering av sykehjem  

      Ashfaq, Faiza; Jenssen, Nikolai Alexander; Pedersen, Marius Bjørkeng (Bachelor thesis, 2023)
      Ifølge SSB vil eldrebølgen og en mangel på pleiepersonell i fremtiden skape utfordringer innenfor eldreomsorgen. Utfordringen vil innebære underbemanning som går ut over sykepleierens tid med hver pasient. Gjennom denne ...
    • Sensorteknikk i transformatorstasjoner 

      Aakvik, Mathias; Knutsen, Marius; Venås, Nils Eirik (Bachelor thesis, 2021)
      Denne oppgaven omhandler bruk av sensorer rundt og i transformatorstasjoner. Formålet med oppgaven er å undersøke om et system bestående av sensorer kan forbedre sikkerheten og vedlikeholdet i transformatorstasjoner. Det ...
    • Sequence-to-sequence articulatory inversion through time convolution of sub-band frequency signals 

      Sabzi Shahrebabaki, Abdolreza; Siniscalchi, Sabato Marco; Salvi, Giampiero; Svendsen, Torbjørn Karl (Peer reviewed; Journal article, 2020)
      We propose a new acoustic-to-articulatory inversion (AAI) sequence-to-sequence neural architecture, where spectral sub-bands are independently processed in time by 1-dimensional (1-D) convolutional filters of different ...
    • Serious Gaming: Serious content in an entertaining framework 

      Richvoldsen, Håvard (Master thesis, 2009)
      This thesis is based on work done at the Norwegian University of Science and Technology (NTNU) in the field of serious gaming. The motivation for the work is to create a serious game with the purpose of recruiting high ...
    • Serious Storytelling in Virtual Reality: The Role of Digital Narrative to Trigger Mediated Presence and Behavioral Responses 

      Irshad, Shafaq; Perkis, Andrew (Chapter, 2020)
      Virtual Reality (VR) can administer a narrative rich, high-fidelity environment that provides a fully immersive and interactive experience for use in serious games. VR serious games are increasingly used in training and ...