• Seismic Vulnerability Assessment of a Historic Brick Masonry Building by Fragility Functions 

      Demirlioglu, Kültigin; Soyoz, Serdar (12th International Conference on Structural Analysis of Historical Constructions (SAHC 2021);, Book; Conference object, 2021)
      This paper aims at contributing to the seismic vulnerability assessment of a historic brick masonry building constructed in Istanbul by comparison of the derived analytical and empirical fragility functions. For this ...
    • Selecting the Right Tool for the Task: A Hard-Soft Cake Eating Experiment with a Spoon and Fork 

      Bjarkum, Sondre; Chadoyan, Maximilian Stiegler; Medola, Fausto Orsi; Sandnes, Frode Eika (Advances in Intelligent Systems and Computing;volume 1269, Conference object, 2020-08-30)
      It is generally accepted that one need to select the correct tool for a given task. The same holds for eating utensils. A cake eating experiment was designed to determine if the visual appearance of cakes with different ...
    • Selection and Performance Prediction of a Pump as a Turbine for Power Generation Applications 

      Abdulbasit, Nasir; Dribssa, Edessa; Misrak, Girma; Madessa, Habtamu Bayera (Peer reviewed; Journal article, 2023)
      The high price of purpose-made turbines always represents an active challenge when utilizing pico- and micro-hydropower resources. Pumps as turbines (PATs) are a promising option to solve the problem. However, the selection ...
    • Selection of Optimal EEG Electrodes for Human Emotion Recognition 

      Zhang, Jianhua; Chen, Peng (IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2021-04-14)
      In recent years, emotion recognition has attracted increasing interest from researchers from diverse fields. Because of their intrinsic correlation with emotions, physiological signals based emotion recognition method is ...
    • A Self-management Approach to Service Optimization and System Integrity through Multi-agent Systems 

      Xing, Lu (Master thesis, 2008)
      The primary goal of this thesis is to make simple approaches to implement selfmanagement functions based on the regular administration tools as a way to simplify tedious tasks for the system administrators. In order to ...
    • A Self-Powered and Area Efficient SSHI Rectifier for Piezoelectric Harvesters 

      Chamanian, Salar; Ciftci, Berkay; Muhtaroglu, Ali; Külah, Haluk (IEEE Access;, Peer reviewed; Journal article, 2021)
      This article presents an area efficient fully autonomous piezoelectric energy harvesting system to scavenge energy from periodic vibrations. Extraction rectifier utilized in the system is based on synchronized switch ...
    • Semantic Analysis of Soccer News for Automatic Game EventClassification 

      Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael (International Workshop on Content-Based Multimedia Indexing, CBMI; 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Conference object, 2019-10-21)
      We are today overwhelmed with information, of which an important part is news. Sports news, in particular, has become very popular, where soccer makes up a big part of this coverage. For sports fans, it can be a time ...
    • Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch 

      Zheng, Zhuoxun; Zhou, Baifan; Tan, Zhipeng; Savkovic, Ognjen; Rincon-Yanez, Diego; Nikolov, Nikolay Vladimirov; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny (Peer reviewed; Journal article, 2023)
      Background and Challenges. Industry 4.0 focuses on smart factories that rely on IoT tech- nology for automation. This produces massive amounts of production data, increasing the demand for data-driven solutions and cloud ...
    • Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry 

      Yahya, Muhammad; Zhou, Baifan; Breslin, John G.; Ali, Muhammad Intizar; Kharlamov, Evgeny (Peer reviewed; Journal article, 2023)
      The ongoing industrial revolution termed Industry 4.0 (I4.0) has borne witness to a series of profound changes towards increasing smart automation, particularly in the industrial sectors of automotive, aerospace, manufacturing, ...
    • Semirelativistic Schrödinger Equation for Relativistic Laser-Matter Interactions 

      Kjellsson Lindblom, Tor; Førre, Morten; Lindroth, Eva; Selstø, Sølve (Physical Review Letters;Vol. 121, Iss. 25 — 21 December 2018, Journal article; Peer reviewed, 2018)
      A semirelativistic formulation of light-matter interaction is derived using the so called propagation gauge and the relativistic mass shift. We show that relativistic effects induced by a superintense laser field can, to ...
    • SemML: Facilitating development of ML models for condition monitoring with semantics 

      Zhou, Baifan; Svetashova, Yulia; Silva Gusmao, Andre; Soylu, Ahmet; Cheng, Gong; Miku, Ralf; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny (Journal of Web Semantics;Volume 71, November 2021, 100664, Peer reviewed; Journal article, 2021-10-22)
      Monitoring of the state, performance, quality of operations and other parameters of equipment and production processes, which is typically referred to as condition monitoring, is an important common practice in many ...
    • Sensitivity of deformation demands in buildings to modeling assumptions in nonlinear seismic analysis 

      Erduran, Emrah; Kaynia, Amir M.; Roven, Jørgen R. (Proceedings of the XI International Conference on Structural Dynamics;Volume 1, Conference object, 2020)
      Performance-based design principles rely heavily on the estimation of engineering demand parameters through nonlinear static or dynamic analysis. The increased focus on nonlinear analysis in recent and upcoming building ...
    • Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (2018 International Conference on Intelligent Systems (IS);, Chapter; Chapter; Peer reviewed, 2018)
      We present preliminary results on sensor data prediction in a smart home environment with a limited number of binary sensors. The data has been collected from a real home with one resident over a period of 17 weeks. We ...
    • Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method 

      Hammer, Hugo Lewi; Solberg, Per Erik; Øvrelid, Lilja (Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis;5th, Peer reviewed; Chapter, 2014)
      Online political discussions have received a lot of attention over the past years. In this paper we compare two sentiment lexicon approaches to classify the sentiment of sentences from political discussions. The first ...
    • Sentiment classification of online political discussions: a comparison of a word-based and dependencybased method 

      Hammer, Hugo Lewi; Solberg, Per Erik; Øverlid, Lilja (5th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis;, Chapter; Peer reviewed, 2014)
      Online political discussions have received a lot of attention over the past years. In this paper we compare two sentiment lexicon approaches to classify the sentiment of sentences from political discussions. The first ...
    • Sequence effects in the estimation of software development effort 

      Jørgensen, Magne; Halkjelsvik, Torleif (Journal of Systems and Software;Volume 159, January 2020, 110448, Journal article; Peer reviewed, 2019-10-18)
      Currently, little is known about how much the sequence in which software development tasks or projects are estimated affects judgment-based effort estimates. To gain more knowledge, we examined estimation sequence effects ...
    • Serenade of the seas: main centrum deck 4-11 

      Lundberg, Liv Anne; Andersen, Kyrre (Visual arts, 2003)
    • Serious games as a virtual training ground for relocation to a new healthcare facility 

      Merschbrock, Christoph; Lassen, Ann Karina; Tollnes, Tor; Munkvold, Bjørn Erik (Peer reviewed; Journal article, 2016)
      Purpose – This paper aims to enquire into how building information modelling (BIM) and gaming can be integrated to support professionals in their learning about the spatial layout of a new building. This knowledge is ...
    • SHADE: Absorption spectroscopy enhancement with ambient light estimation and narrow-band detection 

      Sherkat, Habib; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (Optik;Volume 220, October 2020, Journal article; Peer reviewed, 2020-06-19)
      Ambient light (AML) limits the usage of absorption spectroscopy to strictly-controlled environments due to its impact on the quality of the signals. In medical applications for Optical instruments that require high reliability ...
    • Shared memory in design complexity 

      Pavel, Nenad; Berg, Arild (DS 78: Proceedings of the E&PDE 2014 16th International conference on Engineering and Product Design;16, Chapter; Peer reviewed, 2014)
      This paper discusses the idea of how collaborative learning might help designers with the rapid learning required in the increasingly complex environments they work in. It has been proposed that innovation that drive ...