Viser treff 371-390 av 625

    • Naturvitenskapens grunnlag og begrensning. Seminarrapport 

      Thorvaldsen, Steinar (Research report; Forskningsrapport, 1979)
      Foredrag av Arthur E. Wilder-Smith og Udo Middelmann holdt ved NTH i 1979
    • NB-FEB : an easy-to-use and scalable universal synchronization primitive for parallel programming 

      Ha, Hoai Phuong; Tsigas, Philippas; Anshus, Otto J. (Research report; Forskningsrapport, 2008-10)
      This paper addresses the problem of universal synchronization primitives that can support scalable thread synchronization for large-scale many-core architectures. The universal synchronization primitives that have been deployed widely in conventional architectures, are the compare-and-swap (CAS) and load-linked/store-conditional (LL/SC) primitives. However, such synchronization primitives are ...
    • Neo: Virtual Object Modeling using Commodity Hardware 

      Bye Nilsen, Thomas (Master thesis; Mastergradsoppgave, 2019-05-15)
      Recent developments in augmented reality technology have paved way for newapplications in a wide range of areas. These include the commercial markets,medicine applications, military applications and education. The technology pro-vides immersive images to enhance our perception of the world. Augmentedreality addresses challenges related to problem-solving by seamlessly integrat-ing digital images ...
    • Neural network based country wise risk prediction of COVID-19 

      Pal, Ratnabali; Sekh, Arif Ahmed; Kar, Samarjit; Prasad, Dilip K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-16)
      The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, and effects of such an epidemic. Such predictions can be helpful to control and prevent the spread of such diseases. The main challenges of applying AI is the small volume of data and the ...
    • Neural Network Based Country Wise Risk Prediction of COVID-19 

      Pal, Ratnabali; Sekh, Arif Ahmed; Kar, Samarjit; Prasad, Dilip K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-16)
      The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, and effects of such an epidemic. Such predictions can be helpful to control and prevent the spread of such diseases. The main challenges of applying AI is the small volume of data and the ...
    • Nexans Tracking System. An indoor positioning system using Bluetooth Low Energy 

      Holm, Ragnhild Kosmo (Master thesis; Mastergradsoppgave, 2015-06-01)
      Nexans Rognan is a cable manufacturer located in Nordland County. Each new cable order have a set of requirements provided by the customer. The cable specifications change in terms of characteristics of fibre optical elements, type and quality of cable armouring and dimension and amounts of electrical conductors. Due to the variety in different cables produced, they also need a wide array of ...
    • Next frontiers in energy system modelling: A review on challenges and the state of the art 

      Fodstad, Marte; Crespo del Granado, Pedro; Hellemo, Lars; Knudsen, Brage Rugstad; Pisciella, Paolo; Silvast, Antti; Bordin, Chiara; Schmidt, Sarah; Straus, Julian (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-26)
      Energy Systems Modelling is growing in relevance on providing insights and strategies to plan a carbon-neutral future. The implementation of an effective energy transition plan faces multiple challenges, spanning from the integration of the operations of different energy carriers and sectors to the consideration of multiple spatial and temporal resolutions. In this review, we outline these challenges ...
    • NFC Prototype Bonanza 

      Holmstad, Øyvind; Kreutzer, Tor (Research report; Forskningsrapport, 2011)
      This report presents the results of the research conducted by Tor Kreutzer and Ø yvind Holmstad during the summer of 2011 at the University of Troms ø. The goal of the project was to gain practical experience with Near Field Communication (NFC) technology by exploring its properties through hands-on development of applications and services. To explore the applicability and limitations of NFC we ...
    • Njord: a fishing trawler dataset 

      Nordmo, Tor-Arne Schmidt; Ovesen, Aril Bernhard; Juliussen, Bjørn Aslak; Hicks, Steven; Thambawita, Vajira L B; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael Alexander; Johansen, Dag (Chapter; Bokkapittel, 2022-08-05)
      Fish is one of the main sources of food worldwide. The commercial fishing industry has a lot of different aspects to consider, ranging from sustainability to reporting. The complexity of the domain also attracts a lot of research from different fields like marine biology, fishery sciences, cybernetics, and computer science. In computer science, detection of fishing vessels via for example remote ...
    • Non-Opportunistic Data Transfer for IoT and Cyber-Physical Systems with Mostly Sleeping Nodes 

      Hellemo, Isak Østrem (Mastergradsoppgave; Master thesis, 2022-07-12)
      Sensor networks are frequently used to monitor our environment. From monitoring the habitat of seabirds [1], to the structural integrity of bridges [2]. They can also be used to monitor the arctic tundra to help us monitor climate change. The arctic tundra does however place additional requirements on a monitoring system. Low access to energy sources, human intervention, and networks to transfer ...
    • The NOOP experimental Python programming environment 

      Andersen, Anders (Journal article; Tidsskriftartikkel, 2014)
      Python is a dynamic language well suited to build a run-time providing adaptive support to distributed applications. Python has dynamic typing where variables are given a type when they are assigned a value. To introduce type safety, interfaces, and a component model in Python NOOP introduces a type language and a way to apply typing to functions (and methods). This type system is described in the ...
    • The Nornir run-time system for parallel programs using Kahn process networks on multi-core machines-a flexible alternative to MapReduce 

      Vrba, Zeljko; Halvorsen, Pål; Griwodz, Carsten; Beskow, Paul; Espeland, Håvard; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
      Even though shared-memory concurrency is a paradigm frequently used for developing parallel applications on small- and middle-sized machines, experience has shown that it is hard to use. This is largely caused by synchronization primitives which are low-level, inherently non-deterministic, and, consequently, non-intuitive to use. In this paper, we present the Nornir run-time system. Nornir is ...
    • Northeast Arctic Cod and Prey Match-Mismatch in a High-Latitude Spring-Bloom System 

      Vikebø, Frode Bendiksen; Broch, Ole Jacob; Kajiya Endo, Clarissa Akemi; Frøysa, Håvard G; Carroll, JoLynn; Juselius, Jonas; Langangen, Øystein Ole Gahr (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-20)
      By combining an ocean model, a nutrient-phytoplankton-zooplankton-detritus-model and an individual-based model for early life stages of Northeast Arctic cod we systematically investigate food limitations and growth performance for individual cod larvae drifting along the Norwegian coast from spawning grounds toward nursery areas in the Barents Sea. We hypothesize that there is food shortage for ...
    • Norwegian e-Infrastructure for Life Sciences (NeLS) 

      Tekle, Kidane M; Gundersen, Sveinung; Klepper, Kjetil; Bongo, Lars Ailo; Raknes, Inge Alexander; Li, Xiaxi; Zhang, Wei; Andreetta, Christian; Mulugeta, Teshome Dagne; Kalaš, Matúš; Rye, Morten Beck; Hjerde, Erik; Antony Samy, Jeevan Karloss; Fornous, Ghislain; Azab, Abdulrahman; Våge, Dag Inge; Hovig, Eivind; Willassen, Nils Peder; Drabløs, Finn; Nygård, Ståle; Petersen, Kjell; Jonassen, Inge (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-06-29)
      The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is available through easy-to-use web interfaces, including the Galaxy workbench for data analysis and workflow execution. Users confident with a command-line interface and programming may ...
    • A novel algorithm to detect non-wear time from raw accelerometer data using deep convolutional neural networks 

      Syed, Shaheen; Morseth, Bente; Hopstock, Laila Arnesdatter; Horsch, Alexander (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-23)
      To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value. A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors), which limits detecting both short and longer episodes of ...
    • A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism 

      Woldaregay, Ashenafi Zebene; Launonen, Ilkka Kalervo; Albers, David; Igual, Jorge; Årsand, Eirik; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-12)
      <i>Background</i>: Semisupervised and unsupervised anomaly detection methods have been widely used in various applications to detect anomalous objects from a given data set. Specifically, these methods are popular in the medical domain because of their suitability for applications where there is a lack of a sufficient data set for the other classes. Infection incidence often brings prolonged ...
    • Novel secure VPN architectures for LTE backhaul networks 

      Liyanage, Madhusanka; Kumar, Pradeep; Ylianttila, Mika; Gurtov, Andrei (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-01-11)
      In this paper, we propose two secure virtual private network architectures for the long‐term evolution backhaul network. They are layer 3 Internet protocol (IP) security virtual private network architectures based on Internet key exchange version 2 mobility and multihoming protocol and host identity protocol. Both architectures satisfy a complete set of 3GPP backhaul security requirements such as ...
    • Nudging according to user’s preferences 

      Saleem, Sufyan (Mastergradsoppgave; Master thesis, 2022-11-15)
      Physical inactivity has been identified as a global pandemic, physical inactivity causes multiple health outcomes in different demographic group such as coronary heart disease, type 2 diabetes, colon, and breast cancer. A physical inactive person takes less than 5000 steps a day. To try to reduce physical inactivity along individual for healthy lifestyle, this thesis provides personalized digital ...
    • Numerical Investigation of Radiative Hybrid Nanofluid Flows over a Plumb Cone/Plate 

      Peter, Francis; Sambath, Paulsamy; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-18)
      Non-Newtonian fluids play a crucial role in applications involving heat transfer and mass transfer. The inclusion of nanoparticles in these fluids improves the efficiency of heat and mass transfer processes. This study employs a numerical solution approach to examine the flow of non-Newtonian hybrid nanofluids over a plumb cone/plate surface, considering the effects of magnetohydrodynamics (MHD) and ...
    • Object detection at the edge 

      Mathiassen, Truls (Mastergradsoppgave; Master thesis, 2020-11-10)
      While monitoring rodents in the Arctic Tundra to evaluate if climate changes affect the ecosystem. The camera-traps of the coat project generates image data in large scale each year. To manually examine the data in regards to label- ing is a tedious and time-consuming job, and a more efficient and automated tool for the task is required. In this thesis we presents the architecture, design and ...