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    • PanoramaGrid – A Graph Paper Tracing Framework for Sketching 360-degree Immersed Experiences 

      Sandnes, Frode Eika (Chapter; Peer reviewed, 2016)
      A novel framework that allows designers without 3D-modelling experience to draw three-dimensional panoramic sketches by hand with the help of a support lines is proposed. Sketches are viewed with panoramic ...

    • PARAFAC2 AO-ADMM: Constraints in all modes 

      Roald, Marie; Schenker, Carla; Cohen, Jeremy E.; Acar, Evrim (European Signal Processing Conference;2021 29th European Signal Processing Conference (EUSIPCO), Conference object, 2021-12-08)
      The PARAFAC2 model provides a flexible alternative to the popular CANDECOMP/PARAFAC (CP) model for tensor decompositions. Unlike CP, PARAFAC2 allows factor matrices in one mode (i.e., evolving mode) to change across tensor ...

    • A parallel approach for detecting OpenFlow rule anomalies based on a general formalism 

      Aryan, Ramtin; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E. (Concurrency and Computation;, Journal article; Peer reviewed, 2020-06-28)
      As the policies of a software-defined networking (SDN) network can be updated dynamically and often at a high pace, conflicts between policies can easily occur. Due to the large number of switches and heterogeneous policies ...

    • Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator 

      Hammer, Hugo Lewi; Yazidi, Anis (Applied Intelligence;Volume 48, Issue 11, Journal article; Peer reviewed, 2018-05-25)
      Many real-life dynamical systems experience abrupt changes followed by almost stationary periods. In this paper, we consider streams of data exhibiting such abrupt behavior and investigate the problem of tracking their ...

    • The Parthasarathy formula and a spectral triple for the quantum Lagrangian Grassmannian of rank two 

      Matassa, Marco (Letters in Mathematical Physics;August 2019, Volume 109, Issue 8, Journal article; Peer reviewed, 2019-02-05)
      Background and objective: The long-term psychosocial outcome of young adults after paediatric liver transplantation (LT) was investigated with the focus on day-to-day living. We aimed to capture patients’ subjective ...

    • Peekaboo: Learning-Based Multipath Scheduling for Dynamic Heterogeneous Environments 

      Wu, Hongjia; Alay, Özgü; Brunstrom, Anna; Ferlin, Simone; Caso, Giuseppe (IEEE Journal on Selected Areas in Communications;Volume: 38, Issue: 10, Journal article; Peer reviewed, 2020-06-08)
      Multipath transport protocols utilize multiple network paths (e.g., WiFi and cellular) to achieve improved performance and reliability, compared with their single-path counterparts. The scheduler of a multipath transport ...

    • Peer-Mentoring for Students with Disabilities – A Preliminary Study in Norwegian Higher Education 

      Sanderson, Norun Christine; Chen, Weiqin (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      The number of students with disabilities in higher education is increasing. Despite governmental and institutional support, students with disabilities often have poorer progression and are at a higher risk of dropping out ...

    • Perceivability of Map Information for Disaster Situations for People with Low Vision 

      Tunold, Siv; Radianti, Jaziar; Gjøsæter, Terje; Chen, Weiqin (Lecture Notes in Artificial Intelligence;Volume 11572, Conference object, 2019-07-03)
      Digital maps have become increasingly popular in disaster situation to provide overview of information. However, these maps have also created barriers for many people, particularly people with visual impairments. Existing ...

    • Perceptions of Digital Nudging for Cervical Testing: A Comparison Four Nudge Types 

      Ytterland, , Thea Bratteberg; Fagernes, Siri; Sandnes, Frode Eika (Lecture Notes in Computer Science;13308, Conference object, 2022-06-16)
      Cervical cancer consumes many lives around the world. Many of these lives could be saved if more women were screened for cervical cancer. This study explored the potential of digital nudging through short electronic messages ...

    • Performance Analysis of RF Energy Harvesting and Information Transmission based on NOMA with Interfering Signal for IoT Relay Systems 

      Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (IEEE Sensors Journal;Volume 19 , Issue 17, Journal article; Peer reviewed, 2019-04-28)
      Owing to the exponential proliferation of the Internet of Things (IoT), it is anticipated that the number of small IoT devices will grow expeditiously over the next few years. These billions of small IoT sensor and devices ...

    • Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python 

      Holm, Håvard Heitlo; Brodtkorb, André R.; Sætra, Martin Lilleeng (Advances in Parallel Computing;Volume 36: Parallel Computing: Technology Trends, Journal article; Peer reviewed, 2020)
      In this work, we examine the performance and energy efficiency when using Python for developing HPC codes running on the GPU. We investigate the portability of performance and energy efficiency between CUDA and OpenCL; ...

    • Performance Evaluation and Comparison of Microservices and Serverless Deployments in Cloud 

      Shrestha, Raju; Nisha, Beebu (IEEE International Conference on Smart Cloud (SmartCloud);, Chapter; Peer reviewed; Conference object, 2023)
      Microservices and serverless are arguably the two most widely used architectures today for deploying applications in the cloud. With both these technologies, applications can take advantage of faster delivery, lightweight, ...

    • Performance of cluster-based high availability database in cloud containers 

      Shrestha, Raju (Conference object, 2020)
      Database is an important component in any software application, which enables efficient data management. High availability of databases is critical for an uninterruptible service offered by the application. Virtualization ...

    • Performance of data enhancements and training optimization for neural network: A polyp detection case study 

      Henriksen, Fredrik Lund; Jensen, Rune; Stensland, Håkon Kvale; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (IEEE International Symposium on Computer-Based Medical Systems; 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2019)
      Deep learning using neural networks is becoming more and more popular. It is frequently used in areas like video analysis, image retrieval, traffic forecast and speech recognition. In this respect, the learning and training ...

    • A personality-aware group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Information Sciences;Volume 595, May 2022, Peer reviewed; Journal article, 2022-02-25)
      Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...

    • Perspectives on academic staff involvement in the acquisition and implementation of educational technologies 

      Habib, Laurence; Johannesen, Monica (Teaching in Higher Education;19(5), Journal article; Peer reviewed, 2014-02-05)
      This article presents the results of a study using both quantitative and qualitative data to uncover the extent and nature of the involvement of academic staff in the processes of acquisition and implementation of educational ...

    • Photon waiting-time distributions: A keyhole into dissipative quantum chaos 

      Yusipov, Igor; Vershinina, Olga; Denysov, Sergiy; Ivanchenko, Mikhail (Chaos;Volume 30, Issue 2, Journal article; Peer reviewed, 2020-01-14)
      Open quantum systems can exhibit complex states, for which classification and quantification are still not well resolved. The Kerr-nonlinear cavity, periodically modulated in time by coherent pumping of the intracavity ...

    • A physical interpretation of Hubble’s law and the cosmological redshift from the perspective of a static observer 

      Bræck, Simen; Elgarøy, Øystein (General Relativity and Gravitation;44 (10), Journal article; Peer reviewed, 2012-07-18)
      We derive explicit and exact expressions for the physical velocity of a free particle comoving with the Hubble flow as measured by a static observer, and for the frequency shift of light emitted by a comoving source and ...

    • Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework 

      Yin, Zhong; Zhao, Mengyuan; Zhang, Wei; Wang, Yongxiong; Wang, Yagang; Zhang, Jianhua (Neurocomputing;Volume 347, 28 June 2019, Journal article; Peer reviewed, 2019-02-19)
      Evaluating operator mental workload (MW) in human-machine systems via neurophysiological signals is crucial for preventing unpredicted operator performance degradation. However, the feature of physiological signals is ...

    • Pie Menus or Linear Menus, Which Is Better? 

      Murano, Pietro; Khan, Iram N. (Journal article; Peer reviewed, 2015-09-09)
      This paper is about a continuing investigation aiming to find o ut which menu type is more useable on a web site or application. This paper specifically compares pie menus with li near menus. Although other researchers ...