Now showing items 2071-2090 of 2416

    • Sykepleieres erfaringer fra første fase av koronapandemien fra mars-oktober 2020 

      Melby, Line; Thaulow, Kristin; Lassemo, Eva; Ose, Solveig Osborg (SINTEF Rapport;2020:01213, Research report, 2020)
      I studien har vi undersøkt sykepleieres erfaringer med den første fasen av koronapandemien, samt konsekvensene for pasienter, brukere og pårørende, slik sykepleierne har erfart det. Datagrunnlaget er en nasjonal kartlegging ...
    • Symbols and exact regularity of symmetric pseudo-splines of any arity 

      Muntingh, Agnar Georg Peder (Journal article; Peer reviewed, 2017)
      Pseudo-splines form a family of subdivision schemes that provide a natural blend between interpolating schemes and approximating schemes, including the Dubuc–Deslauriers schemes and B-spline schemes. Using a generating ...
    • Symmetries of canal surfaces and Dupin cyclides 

      Alcazar, Juan Gerardo; Dahl, Heidi Elisabeth Iuell; Muntingh, Agnar Georg Peder (Journal article; Peer reviewed, 2017)
      We develop a characterization for the existence of symmetries of canal surfaces defined by a rational spine curve and rational radius function. In turn, this characterization inspires an algorithm for computing the symmetries ...
    • Symmetry Detection of Rational Space Curves from their Curvature and Torsion 

      Alcazar, Juan Gerardo; Hermoso, Carlos; Muntingh, Agnar Georg Peder (Journal article; Peer reviewed, 2015)
      We present a novel, deterministic, and efficient method to detect whether a given rational space curve is symmetric. By using well-known differential invariants of space curves, namely the curvature and torsion, the method ...
    • Synthetic Data For Dnn-Based Doa Estimation of Indoor Speech 

      Gelderblom, Femke B.; Kvam, Johannes; Liu, Yi; Myrvoll, Tor Andre (Chapter; Peer reviewed, 2021)
      This paper investigates the use of different room impulse response (RIR) simulation methods for synthesizing training data for deep neural network-based direction of arrival (DOA) estimation of speech in reverberant rooms. ...
    • SysLife System Architecture Specification 

      Chauvel, Franck; Solberg, Arnor (SINTEF Rapport;, Research report, 2014)
      This document describes the software architecture of the SysLife system and contains descriptions of the system components, the main components' services and how the components interact. The document provides the overall ...
    • System requirements-OSS components: matching and mismatch resolution practices – an empirical study 

      Ayala, Claudia; Nguyen Duc, Anh; Franch, Xavier; Höst, Martin; Conradi, Reidar; Cruzes, Daniela Soares; Ali Babar, Muhammand (Journal article; Peer reviewed, 2018)
      Developing systems by integrating Open Source Software (OSS) is increasingly gaining importance in the software industry. Although the literature claims that this approach highly impacts Requirements Engineering (RE) ...
    • System Verification, Processes and Testing 

      Perez, Tristan; Morozov, Andrey; Rokseth, Børge; Glomsrud, Jon Arne; Luckuck, Matthew; Myklebust, Thor; Torben, Tobias Valentin Rye; Yang, Xue (Proceedings of the First International Workshop on Autonomous Systems Safety;, Chapter, 2019)
    • A Systematic Mapping Study on Approaches for AI-Supported Security Risk Assessment 

      Erdogan, Gencer; Garcia-Ceja, Enrique; Hugo, Åsmund Pedersen; Nguyen, Phu Hong; Sen, Sagar (Chapter; Peer reviewed, 2021)
      Effective assessment of cyber risks in the increasingly dynamic threat landscape must be supported by artificial intelligence techniques due to their ability to dynamically scale and adapt. This article provides the state ...
    • A Systematic Mapping Study on Cyber Security Indicator Data 

      Meland, Per Håkon; Tokas, Shukun; Erdogan, Gencer; Bernsmed, Karin; Omerovic, Aida (Peer reviewed; Journal article, 2021)
      A security indicator is a sign that shows us what something is like or how a situation is changing and can aid us in making informed estimations on cyber risks. There are many different breeds of security indicators, ...
    • A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 

      Goknil, Arda; Nguyen, Phu Hong; Sen, Sagar; Politaki, Dimitra; Niavis, Harris; Pedersen, Karl John; Suyuthi, Abdillah; Anand, Abhilash Ramanathapuram; Ziegenbein, Amina (Peer reviewed; Journal article, 2023)
      The Internet of Things (IoT) and Cyber-Physical Systems (CPS) are the backbones of Industry 4.0, where data quality is crucial for decision support. Data quality in these systems can deteriorate due to sensor failures or ...
    • Tabular Data Anomaly Patterns 

      Sukhobok, Dina; Nikolov, Nikolay; Roman, Dumitru (Chapter, 2017)
      One essential and challenging task in data science is data cleaning - the process of identifying and eliminating data anomalies. Different data types, data domains, data acquisition methods, and final purposes of data ...
    • Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning 

      Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2020)
      In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ...
    • Taming Data Quality in AI-Enabled Industrial Internet of Things 

      Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Tverdal, Simeon; Nguyen, Phu Hong; Mancisidor, Iker (Peer reviewed; Journal article, 2022)
      We address the problem of taming data quality in artificial intelligence (AI)-enabled Industrial Internet of Things systems by devising machine learning pipelines as part of a decentralized edge-to-cloud architecture. We ...
    • Task-Technology Fit in Manufacturing: Examining Human-Machine Symbiosis Through a Configurational Approach 

      Mikalef, Patrick; Torvatn, Hans Yngvar; Arica, Emrah (Chapter; Peer reviewed, 2019)
      With the last few years seeing an increased introduction of technological innovations in factories, one of the most pressing issues is how these technologies can be deployed to optimally support the activities of professionals ...
    • Tasks, information models and visual prototypes for local leaders at the TYR training exercise 

      Nilsson, Erik Gösta (Research report, 2010)
      In this report we look into tasks for the local leader in the police at the TYR exercise, and describe both the tasks and the information involved when performing them. The identification of tasks and the further analysis ...
    • A taxonomy for autonomy in industrial autonomous mobile robots including autonomous merchant ships 

      Rødseth, Ørnulf Jan; Vagia, Marialena (Peer reviewed; Journal article, 2020)
      The concept of autonomous mobile robots (AMR) has gained much popularity in recent years, particularly in commercial settings where the name industrial autonomous mobile robot (IAMR) is proposed. In addition to automatic ...
    • A Taxonomy for Engineering Change Management in Complex ETO Firms 

      Arica, Emrah; Bakås, Ottar; Sriram, Pavan (Peer reviewed; Journal article, 2020)
      In this paper, we study a specific type of Engineer-to-Order (ETO) firms called Complex ETO characterized by one-of-a-kind products with high complexity and low volumes. Such firms are at high risk of encountering significant ...
    • A taxonomy of inter-team coordination mechanisms in large-scale agile 

      Berntzen, Marthe; Hoda, Rashina; Moe, Nils Brede; Stray, Viktoria (Peer reviewed; Journal article, 2022)
      In large-scale agile software development, many teams work together to achieve overarching project goals. The more teams, the greater the coordination requirements. Despite the growing popularity of large-scale agile, ...
    • Teacher-student approach for lung tumor segmentation from mixed-supervised datasets 

      Fredriksen, Vemund; Sevle, Svein Ole M.; Pedersen, André; Langø, Thomas; Kiss, Gabriel; Lindseth, Frank (Peer reviewed; Journal article, 2022)
      Purpose: Cancer is among the leading causes of death in the developed world, and lung cancer is the most lethal type. Early detection is crucial for better prognosis, but can be resource intensive to achieve. Automating ...