Browsing TKD - Institutt for informasjonsteknologi by Title

Now showing items 725-744 of 955

    • Saving the planet with bin packing - Experiences using 2D and 3D bin packing of virtual machines for greener clouds 

      Hage, Thomas; Begnum, Kyrre; Yazidi, Anis (Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on;, Journal article; Peer reviewed, 2014)
      Greener cloud computing has recently become an extremely pertinent research topic in academy and among practitioners. Despite the abundance of the state of the art studies that tackle the problem, the vast majority of ...

    • Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case 

      Zhou, Baifan; Nikolov, Nikolay Vladimirov; Zheng, Zhuoxun; Luo, Xianghui; Savkovic, Ognjen; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object; Journal article, 2023)
      Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety. In that context, distributed computing solutions such ...

    • Scattering in a quantum dot: the role of resonances 

      Selstø, Sølve (Journal of Physics: Condensed Matter;25(31), Journal article; Peer reviewed, 2013-07-09)
      The dynamics of a system in which an electron is incident on a populated quantum dot is studied by resolving the time dependence of the system. Specifically, one electron is initially at rest in the ground state of the ...

    • SceneRecog: A Deep Learning Scene Recognition Model for Assisting Blind and Visually Impaired Navigate using Smartphones 

      Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika (IEEE International Conference on Systems, Man and Cybernetics;2021 IEEE International Conference on Systems, Man, and Cybernetics, Conference object, 2022-01-06)
      Deep learning models have recently gained popularity in the research community due to their high classification success rates. In this paper, we proposed an EfficientNet-Lite based scene recognition model for scene recognition ...

    • ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Soylu, Ahmet; Savkovic, Ognjen; Kostylev, Egor; Kharlamov, Evgeny (Chapter; Peer reviewed; Conference object, 2022)
      Automatic knowledge graph (KG) construction is widely used for e.g. data integration, question answering and semantic search. There are many approaches of automatic KG construction. Among which, an important approach is ...

    • Schrödinger formulation of the nondipole light-matter interaction consistent with relativity 

      Førre, Morten; Selstø, Sølve (Physical Review A (PRA);Vol. 101, Iss. 6 — June 2020, Journal article; Peer reviewed, 2020-06-25)
      An alternative and powerful Schrödinger-like equation for describing beyond dipole laser-matter interactions and leading relativistic corrections is derived. It is shown that this particular formulation is numerically very ...

    • ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset 

      Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Pettersen, Svein Arne; Telle-Hansen, Vibeke; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (Lecture Notes in Computer Science (LNCS);, Peer reviewed; Journal article, 2023)
      Nowadays, most people have a smartphone that can track their everyday activities. Furthermore, a significant number of people wear advanced smartwatches to track several vital biomarkers in addition to activity data. ...

    • Screen Reader Accessibility Study of Interactive Maps 

      Hasan, Sayed Kamrul; Gjøsæter, Terje (Lecture Notes in Computer Science;Volume 12768, Conference object, 2021-07-03)
      Digital maps have been an integral part of modern life. Whether to venture into an unknown location, check the latest traffic update, update on the weather forecast, we come across digital maps every day. While maps have ...

    • Search, read and write: An inquiry into Web accessibility for dyslexics 

      Berget, Gerd; Herstad, Jo; Sandnes, Frode Eika (Peer reviewed; Journal article, 2016)
      Universal design in context of digitalisation has become an integrated part of international conventions and national legislations. A goal is to make the Web accessible for peop le of different genders, ages, backgrounds, ...

    • Searching databases without query-building aids: implications for dyslexic users 

      Berget, Gerd; Sandnes, Frode Eika (Information research;20(4), Journal article; Peer reviewed, 2015-12-04)
      Introduction. Few studies document the information searching behaviour of users with cognitive impairments. This paper therefore addresses the effect of dyslexia on information searching in a database with no tolerance for ...

    • Searching for extreme portions in distributions: A comparison of pie and bar charts 

      Sandnes, Frode Eika; Flønes, Aina; Kao, Wei-Ting; Harrington, Patrick; Issa, Meisa (Lecture Notes in Computer Science;Volume 12341, Conference object, 2020-10-16)
      Aggregated data visualizations are often used by collaborative teams to gain a common understanding of a complex situations and issues. Pie and bar charts are both widely used for visualizing distributions. The study of ...

    • A secure 5G eldercare solution using millimeterwave sensors 

      Feng, Boning; Kajiwara, Akihiro; Do, Thuan Van; Jacot, Niels; Santos, Bernardo; Dzogovic, Bruno; Do, van Thanh (Chapter, 2021)
      The world is ageing fast and the need of efficient digital solution enabling elderlies to age at home is getting urgent. Unfortunately there is so far no such a solution which is sufficiently efficient, customizable, secure ...

    • Secure 5G Network Slicing for Elderly Care 

      Feng, Boning; Do, Thuan Van; Jacot, Niels; Santos, Bernardo; Dzogovic, Bruno; Brandsma, Ewout; Do, van Thanh (Lecture Notes in Artificial Intelligence;volume 11673, Chapter; Peer reviewed, 2019-07-26)
      In the time of an ageing world, aging at home is both an economically and socially viable and sustainable solution which may also improve the elderly’s well-being. There are currently a few Home-based Elderly Care systems ...

    • Secure and Privacy-Preserving Information Sharing for Enhanced Resilience 

      Radianti, Jaziar; Gjøsæter, Terje (Journal article; Peer reviewed, 2017)
      City resilience is a pressing issue worldwide since the majority of the population resides in urban areas. When disaster strikes, the consequences will be more severe in the cities. To achieve resilience, different entities ...

    • Secure healthcare: 5G-enabled network slicing for elderly care 

      Dzogovic, Bruno; Do, Thuan Van; Santos, Bernardo; Jacot, Niels; Feng, Boning; Do, van Thanh (Chapter; Peer reviewed, 2020)
      While the research and advancements in 5G progresses, the focus of its application is shifting towards the industry and different verticals. The healthcare sector is also where 5G directs its promise to accomplish the ...

    • Security Challenges with Cross-Domain Information Exchange: Integrity and Guessing Attacks 

      Engelstad, Paal E. (Journal article; Peer reviewed, 2015-10)
      Current research on cross-domain information ex- change is advocating to move away from the inflexible Bell-La Padula (BLP) model, into a more complex policy-driven security model where information objects ...

    • 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 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 ...

    • 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 ...