• The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls 

      Klenk, Jochen; Schwickert, Lars; Palmerini, Luca; Mellone, Sabato; Bourke, Alan; Ihlen, Espen Alexander F.; Kerse, Ngaire; Hauer, Klaus; Pijnappels, Mirjam; Synofzik, Matthis; Srulijes, Karin; Maetzler, Walter; Helbostad, Jorunn L.; Zijlstra, Wiebren; Aminian, Kamiar; Todd, Christopher; Chiari, Lorenzo; Becker, Clemens (Peer reviewed; Journal article, 2016)
      Background Real-world fall events objectively measured by body-worn sensors can improve the understanding of fall events in older people. However, these events are rare and hence challenging to capture. Therefore, the ...
    • Fascist Cultural Diplomacy and Italian Foreign Policy in Norway from the 1930s until the Second World War 

      Miscali, Monica (Journal article; Peer reviewed, 2023)
      This article aims to highlight the diplomatic relations between Italy and Norway during the fascist period, until the regime collapsed at the end of the Second World War. In particular, the paper seeks to reconstruct the ...
    • Faser under sykehusoppholdet - sykepleieres erfaringer med delirium blant gamle med brudd 

      Vassbø, Tove Karin; Eilertsen, Grethe (Journal article; Peer reviewed, 2014)
      Bakgrunn: Hensikten med studien var å undersøke sykepleieres erfaringer med identifisering, forebygging og behandling av delirium blant gamle som innlegges for ortopedisk kirurgi i ulike faser i et sykehusopphold. Studien ...
    • Fasilitering for studentaktiv læring 

      Veine, Sven; Anderson, Martha Kalvig; Skancke, Lars; Wallin, Patric (Journal article, 2019)
      I tilknytning til det studentaktive og tverrfaglige prosjektemnet Eksperter i team (EiT), får omkring 180 læringsassistenter opplæring i fasilitering hvert år. Gjennom læringsassistentenes fasilitering blir studentene ...
    • A fast algorithm for material image sequential stitching 

      Ma, Boyuan; Ban, Xiaojuan; Huang, Haiyou; Liu, Wanbo; Liu, Chuni; Wu, Di; Zhi, Yonghong (Peer reviewed; Journal article, 2019)
      In material research, it is often highly desirable to observe images of whole microscopic sections with high resolution. So that micrograph stitching is an important technology to produce a panorama or larger image by ...
    • Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode 

      Yassin, Yahya Hussain; Jahre, Magnus; Kjeldsberg, Per Gunnar; Aunet, Snorre; Catthoor, Francky (Peer reviewed; Journal article, 2021)
      Stringent power budgets in battery powered platforms have led to the development of energy saving techniques such as Dynamic Voltage and Frequency scaling (DVFS). For embedded system designers to be able to ripe the benefits ...
    • Fast and accurate GPU accelerated, high resolution 3D registration for robotic 3D reconstruction of compliant Food objects 

      Isachsen, Ulrich Johan; Theoharis, Theoharis; Misimi, Ekrem (Peer reviewed; Journal article, 2020)
      If we are to develop robust robot-based automation in primary production and processing in the agriculture and ocean space sectors, we have to develop solid vision-based perception for the robots. Accurate vision-based ...
    • Fast and accurate group outlier detection for trajectory data 

      Djenouri, Youcef; Nørvåg, Kjetil; Ramampiaro, Heri; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020)
      Previous approaches to solve the trajectory outlier detection problem exclusively examine single outliers. However, anomalies in trajectory data may often occur in groups. This paper introduces a new problem, group trajectory ...
    • Fast and Accurate Likelihood Ratio-Based Biometric Verification Secure Against Malicious Adversaries 

      Bassit, Amina; Hahn, Florian; Peeters, Joep; Kevenaar, Tom; Veldhuis, Raymond Nicolaas Johan; Peter, Andreas (Peer reviewed; Journal article, 2021)
      Biometric verification has been widely deployed in current authentication solutions as it proves the physical presence of individuals. Several solutions have been developed to protect the sensitive biometric data in such ...
    • Fast and Accurate Simulation Technique for Large Irregular Arrays 

      Bui Van, Ha; Abraham, Jens; Arts, Michel; Gueuning, Quentin; Raucy, Christopher; González-Ovejero, David; de Lera Acedo, Eloy; Craeye, Christophe (Journal article; Peer reviewed, 2018)
      A fast full-wave simulation technique is presented for the analysis of large irregular planar arrays of identical 3-D metallic antennas. The solution method relies on the macro basis function (MBF) approach and an interpolatory ...
    • A fast and effective method for modelling and optimizing district heating systems in the Modelica language 

      Li, Haoran; Hou, Juan; Nord, Natasa (Chapter, 2022)
      A district heating system is a centralized energy system that supplies heat to end users such as buildings and industrial facilities. This centralized system may have multiple heat sources, a complex distribution network, ...
    • Fast and iterative prototyping for injection molding – a case study of rapidly prototyping 

      Kriesi, Carlo; Bjelland, Øystein; Steinert, Martin (Journal article; Peer reviewed, 2018)
      Injection molding is essential for mass manufacturing plastic parts in all sizes and shapes. However, predicting the quality of a mold is tricky, and while computer simulations are highly advanced, they rely on conservative ...
    • Fast and Secure Updatable Encryption 

      Boyd, Colin Alexander; Davies, Gareth Thomas; Gjøsteen, Kristian; Jiang, Yao (Peer reviewed; Journal article, 2020)
      Updatable encryption allows a client to outsource ciphertexts to some untrusted server and periodically rotate the encryption key. The server can update ciphertexts from an old key to a new key with the help of an update ...
    • Fast and Straightforward Feature Selection Method: A Case of High-Dimensional Low Sample Size Dataset in Malware Analysis 

      Banin, Sergii (Chapter, 2021)
      Malware analysis and detection is currently one of the major topics in the information security landscape. Two main approaches to analyze and detect malware are static and dynamic analyses. In order to detect a running ...
    • Fast chromatic adaptation transform utilizing Wpt (Waypoint) based spectral reconstruction 

      Derhak, Maxim W.; Luo, Eric Lin; Green, Philip John (Chapter, 2020)
      Burns previously showed that a chromatic adaptation transform (CAT) implemented using spectral reconstruction with lightness preserving produces comparable predictive results of corresponding color data sets as optimized ...
    • Fast currents reduce production performance of post-smolt Atlantic salmon. 

      Solstorm, Frida; Solstorm, David; Oppedal, Frode; Fernø, Anders; Fraser, Thomas; Olsen, Rolf Erik (Journal article; Peer reviewed, 2015)
      In the future, an increasing number of salmon farms may be located in areas with fast water current velocity due to limited availability of more sheltered locations. However, there is little information as to how fast ...
    • Fast Decomposed Energy Flow in Large-Scale Integrated Electricity-Gas-Heat Energy Systems 

      Massrur, Hamid Reza; Niknam, Taher; Aghaei, Jamshid; Shafie-Khah, Miadreza; Catalao, Joao PS (Journal article; Peer reviewed, 2018)
      In this paper, a new decomposing strategy is proposed to solve the power flow problem in the large-scale multienergy carrier (MEC) systems, including gas, electrical, and heating subnetworks. This strategy has been equipped ...
    • Fast Decorrelating Monte Carlo Moves for Efficient Path Sampling 

      Riccardi, Enrico; Dahlen, Oda; van Erp, Titus Sebastiaan (Journal article; Peer reviewed, 2017)
      Many relevant processes in chemistry, physics, and biology are rare events from a computational perspective as they take place beyond the accessible time scale of molecular dynamics (MD). Examples are chemical reactions, ...
    • Fast divergence-conforming reduced basis methods for stationary and transient flow problems 

      Fonn, Eivind; van Brummelen, Harald; Kvamsdal, Trond; Rasheed, Adil (Peer reviewed; Journal article, 2020)
      Reduced basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time with reasonable accuracy [1]. For the Navier-Stokes equation, RBMs based ...
    • Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow 

      Fonn, Eivind; Brummelen, Harald van; Kvamsdal, Trond; Rasheed, Adil (Journal article; Peer reviewed, 2018)
      Reduced-basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time with reasonable accuracy. For incompressible flow problems, RBMs based ...