• Security of quantum key distribution with bit and basis dependent detector flaws 

      Lydersen, Lars; Skaar, Johannes (Journal article; Peer reviewed, 2010)
      We consider the security of the Bennett-Brassard 1984 (BB84) protocol for Quantum Key Distribution (QKD), in the presence of bit and basis dependent detector flaws. We suggest a powerful attack that can be used in systems ...
    • Segmentation and labelling of speech 

      Kvale, Knut (Dr. ingeniøravhandling, 0809-103X; 1993:126, Doctoral thesis, 1993)
      During the last decades, significant research efforts have been aimed at devoloping speech technology products such as speech input and output systems. In order to train and evaluate these systems huge speech databases ...
    • Seismic airgun sound propagation in shallow water of the East Siberian shelf and its prediction with the measured source signature 

      Han, Dong-Gyan; Kim, Sookwan; Landrø, Martin; son, Wuju; Lee, Dae Hyeok; Choi, Yeonjin; Jin, Young Keun; Hong, Jong Kuk; Kang, Sung-Ho; Rhee, Tae Siek; Shin, Hyoung Chul; La, Hyoung Sul (Peer reviewed; Journal article, 2023)
      Seismic airgun sound was measured with an autonomous passive acoustic recorder as a function of distance from 18.6 to 164.2 km in shallow water (<70 m) at the continental shelf of the East Siberian Sea in September 2019. ...
    • Seismic wave modelling on GPU clusters 

      Pedersen, Anders Solberg (Master thesis, 2019)
      Vi utvikler et program for å simulere seismiske bølger på GPU-klynger ved hjelp av CUDA og MPI. Ved å bruke spektralelementmetoden til å løse den elastiske bølgelikningen i 3D kan problemet paralleliseres og løses effektivt. ...
    • Seismisk inversjon ved bruk av genetiske algoritmer 

      Helland, Fredrik (Master thesis, 2006)
      Det er ønskelig med nøyaktig informasjon om fysiske egenskaper som beskriver havbunnen for å kunne modellere akustisk utbredelse i vannet. Det har i denne oppgaven blitt sett på global inversjon av geoakustiske parametere. ...
    • Selective area growth of AlGaN nanopyramid arrays on graphene by metal-organic vapor phase epitaxy 

      Munshi, A Mazid; Kim, Dong-Chul; Heimdal, Carl Philip J; Heilmann, Martin; Christiansen, Silke; Vullum, Per Erik; Van Helvoort, Antonius; Weman, Helge (Journal article; Peer reviewed, 2018)
      Wide-bandgap group III-nitride semiconductors are of special interest for applications in ultraviolet light emitting diodes, photodetectors, and lasers. However, epitaxial growth of high-quality III-nitride semiconductors ...
    • Selective Charging Behavior in an Ionic Mixture Electrolyte- Supercapacitor System for Higher Energy and Power 

      Wang, Xuehang; Mehandzhiyski, Aleksandar Yordanov; Arstad, Bjørnar; Van Aken, Katherine L.; Tyler S., Mathis; Gallegos, Alejandro; Tian, Ziqi; Ren, Dingding; Sheridan, Edel; Grimes, Brian Arthur; Jiang, De-en; Wu, Jianzhong; Gogotsi, Yury; Chen, De (Journal article; Peer reviewed, 2017)
      Ion–ion interactions in supercapacitor (SC) electrolytes are considered to have significant influence over the charging process and therefore the overall performance of the SC system. Current strategies used to weaken ionic ...
    • Selective State Retention Power-Gating based on Complete Property Checking 

      Plasencia Balabarca, Frank Pedro (Master thesis, 2021)
    • Self Reconfiguration of Clock Networks on FPGA: Methodology for partial reconfiguration of synchronous modules at run-time 

      Hansen, Sindre (Master thesis, 2011)
      In this thesis, methodology for partial self-reconfiguration of synchronous modules has been developed. A simple software-based scheduler has been built for scheduling synchronous modules on the FPGA. The motivation behind ...
    • Self-cloning state machines on FPGA 

      Blomkvist, Daniel H (Master thesis, 2013)
      The purpose of this thesis is to continue development of a single state rep-resentation for use in a Self-Cloning State Machine. The Self-Cloning StateMachine can be used to represent Non-Deterministic Finite State Machines ...
    • Self-Organizing Networks (SON): TD-ICIC Implementation In a Network Simulator 

      Christiansen, Thomas F. (Master thesis, 2014)
      Co-channel interference is becoming a real headache for operators when deploying HetNets but a solution presents itself in the form of inter-cell interference coordination (ICIC). One form of ICIC is called almost blank ...
    • Self-supervised Underwater Source Localization based on Contrastive Predictive Coding 

      Zhu, Xiaoyu; Dong, Hefeng; Salvo Rossi, Pierluigi; Landrø, Martin (Peer reviewed; Journal article, 2021)
      This work introduces a two-step self-supervised learning scheme, namely contrastive predictive coding (CPC), for underwater source localization. In the first step, a CPC-based self-supervised feature extractor is trained ...
    • Self-supervised vision-based detection of the active speaker as support for socially aware language acquisition 

      Stefanov, Kalin; Beskow, Jonas; Salvi, Giampiero (Peer reviewed; Journal article, 2020)
      This paper presents a self-supervised method for visual detection of the active speaker in a multiperson spoken interaction scenario. Active speaker detection is a fundamental prerequisite for any artificial cognitive ...
    • 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, ...