Blar i TKD - Institutt for informasjonsteknologi på tittel

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    • Electronic identity mass compromize: Options for recovery 

      Fritsch, Lothar (Lecture Notes in Informatics;, Chapter; Peer reviewed, 2023)
      A National Digital Identity Framework should be designed in a proactive manner, should focus on a resilience-oriented approach, and should be aimed at limiting the risks that may originate from identity data management ...

    • An ELM-based Deep SDAE Ensemble for Inter-Subject Cognitive Workload Estimation with Physiological Signals 

      Zheng, Zhanpeng; Yin, Zhong; Zhang, Jianhua (Chinese Control Conference (CCC);2020 39th Chinese Control Conference (CCC), Conference object, 2020-09-09)
      Evaluating operator cognitive workload (CW) levels in human-machine systems based on neurophysiological signals is becoming the basis to prevent serious accidents due to abnormal state of human operators. This study proposes ...

    • Emerging Biometric Modalities and their Use: Loopholes in the Terminology of the GDPR and Resulting Privacy Risks 

      Bisztray, Tamas; Gruschka, Nils; Bourlai, Thirimachos; Fritsch, Lothar (Conference object, 2021)
      Technological advancements allow biometric applications to be more omnipresent than in any other time before. This paper argues that in the current EU data protection regulation, classification applications using biometric ...

    • EMG Signals based Human Action Recognition via Deep Belief Networks 

      Zhang, Jianhua; Ling, Chen; Li, Sunan (IFAC-PapersOnLine;Volume 52, Issue 19, 2019, Journal article; Peer reviewed, 2019-12-24)
      Electromyography (EMG) signals can be used for action classification. Nonetheless, due to their nonlinear and time-varying properties, it is difficult to classify the EMG signals and it is critical to use appropriate ...

    • Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review 

      Zhang, Jianhua; Yin, Zhong; Chen, Peng; Nichele, Stefano (Information Fusion;Volume 59, July 2020, Peer reviewed; Journal article, 2020-01-31)
      In recent years, the rapid advances in machine learning (ML) and information fusion has made it possible to endow machines/computers with the ability of emotion understanding, recognition, and analysis. Emotion recognition ...

    • Enabling Smart Home with 5G Network Slicing 

      Dzogovic, Bruno; Santos, Bernardo; Noll, Josef; Do, Thuan Van; Feng, Boning; Do, van Thanh (Proceedings of the 2019 IEEE 4th International Conference on Computer and Communication Systems - ICCCS 2019;, Chapter; Peer reviewed, 2019)
      In addition to mobile phones 5G mobile networks will have to support billion IoT devices and applications. To achieve this objective 5G relies in the network slicing concept which is not yet fully understood. This paper ...

    • Encouraging Pro-environmental Behaviour Through an Educational Mobile Application: Preliminary Insights from Early Adopters 

      Duda, Ewa; Anacka, Helena; Kowal, Jolanta; Nowakowska, Iwona; Obracht-Prondzyńska, Hanna; Geirbo, Hanne Cecilie; Radziszewski, Kacper; Romanowska, Małgorzata; Wyciszkiewicz, Aleksandra; Zawieska, Jakub (Peer reviewed; Journal article, 2023)

    • An Energy Efficient Localization Strategy for Outdoor Objects based on Intelligent Light-Intensity Sampling 

      Sandnes, Frode Eika (Lecture Notes in Computer Science;6406, Journal article; Peer reviewed, 2010-10-05)
      A simple and low cost strategy for implementing pervasive objects that identify and track their own geographical location is proposed. The strategy, which is not reliant on any GIS infrastructure such as GPS, is realized ...

    • Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning 

      Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Yazidi, Anis; Engelstad, Paal E. (Communications in Computer and Information Science;volume 1130, Journal article; Peer reviewed; Book chapter, 2019)
      Over the past few years, innovation in the development of Wireless Sensor Networks (WSNs) has evolved rapidly. WSNs are being used in many application fields such as target coverage, battlefield surveillance, home security, ...

    • Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes 

      Abolpour Mofrad, Asieh; Yazidi, Anis; Abolpour Mofrad, Samaneh; Hammer, Hugo Lewi; Arntzen, Erik (Neural Computation;Vol. 33, No. 2, Journal article; Peer reviewed, 2021-02-01)
      Formation of stimulus equivalence classes has been recently modeled through equivalence projective simulation (EPS), a modified version of a projective simulation (PS) learning agent. PS is endowed with an episodic memory ...

    • Enhanced Learning of Jazz Chords with a Projector Based Piano Keyboard Augmentation 

      Sandnes, Frode Eika; Eika, Evelyn (Lecture Notes in Artificial Intelligence;vol 11937, Conference object, 2019)
      Learning jazz piano is considered technically difficult. Most people cannot afford private piano tuition and there are many freely available video tutorials on the Internet. This study identified a set of challenging topics ...

    • Enhancing creativity and play through accessible projector-based interactive PC-control touch technology 

      Begnum, Miriam Eileen Nes; Finstadsveen, Johan; Begnum, Kyrre (The proceedings of Unitech : International Conference on Universal Technologies;2010, Chapter; Peer reviewed, 2010)
      Standard computer peripherals are often challenging to use for mobility impaired, and in particular controlling computer mouse movements efficiently and without risking strain injuries. Projected touch screen technology ...

    • Enhancing investigative interview training using a child avatar system: a comparative study of interactive environments 

      Zohaib Hassan, Syed; Shafiee Sabet, Saeed; Riegler, Michael Alexander; Baugerud, Gunn Astrid; Ko, Hayley Manalang; Salehi, Pegah; Røed, Ragnhild Klingenberg; Sinkerud Johnson, Miriam; Halvorsen, Pål (Peer reviewed; Journal article, 2023)
      The impact of investigative interviews by police and Child Protective Services (CPS) on abused children can be profound, making effective training vital. Quality in these interviews often falls short and current training ...

    • Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case 

      Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor V.; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Lecture Notes in Computer Science (LNCS);Volume 13384, Peer reviewed; Journal article, 2022-07-20)
      In the context of Industry 4.0 and Internet of Things (IoT), modern manufacturing and production lines are equipped with software systems and sensors that constantly collect and send a high volume of data.

    • Enhancing questioning skills through child avatar chatbot training with feedback 

      Røed, Ragnhild Klingenberg; Baugerud, Gunn Astrid; Zohaib Hassan, Syed; Shafiee Sabet, Saeed; Salehi, Pegah; Powell, Martine B.; Riegler, Michael Alexander; Halvorsen, Pål; Sinkerud Johnson, Miriam (Peer reviewed; Journal article, 2023)
      Training child investigative interviewing skills is a specialized task. Those being trained need opportunities to practice their skills in realistic settings and receive immediate feedback. A key step in ensuring the ...

    • Enhancing Search-based Testing with Testability Transformations for Existing APIs 

      Arcuri, Andrea; Galeotti, Juan Pablo (ACM Transactions on Software Engineering and Methodology;Volume 31, Issue 1, Peer reviewed; Journal article, 2021-09-28)
      Search-based software testing (SBST) has been shown to be an effective technique to generate test cases automatically. Its effectiveness strongly depends on the guidance of the fitness function. Unfortunately, a common ...

    • Enhancing Security of Cellular IoT with Identity Federation 

      Santos, Bernardo; Dzogovic, Bruno; Feng, Boning; Do, Thuan Van; Jacot, Niels; Do, van Thanh (Advances in Intelligent Systems and Computing;Volume 1035, Conference object, 2019-08-15)
      This paper presents a Cellular Identity Federation solution which both strengthens and simplifies the authentication of Internet of Things (IoT) devices and applications by providing single sign-on between the network ...

    • Enriching context descriptions for enhanced LA scalability: a case study 

      Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Research and Practice in Technology Enhanced Learning (RPTL);16, Article number: 6 (2021), Peer reviewed; Journal article, 2021-03-29)
      Learning analytics (LA) is a field that examines data about learners and their context, for understanding and optimizing learning and the environments in which it occurs. Integration of multiple data sources, an important ...

    • Entrepreneurial networks in localized embedding practices: A case study from the Norwegian micro wool industry 

      Fosstenløkken, Siw Marita; Kubberød, Elin; Viciunaite, Viktorija (Peer reviewed; Journal article, 2023)

    • Entropy and gravity 

      Grøn, Øyvind (Entropy;14, Journal article; Peer reviewed, 2012-12-04)
      The effect of gravity upon changes of the entropy of a gravity-dominated system is discussed. In a universe dominated by vacuum energy, gravity is repulsive, and there is accelerated expansion. Furthermore, inhomogeneities ...