Browsing Artikler, rapporter og annet (informatikk) by Title

Now showing items 203-222 of 389

    • The Movitz development platform 

      Fjeld, Frode V. (Research report; Forskningsrapport, 2003-12-19)
      We present a technical description of the Movitz development platform for stand-alone applications on the x86 PC architecture.

    • Mr. Clean: A Tool for Tracking and Comparing the Lineage of Scientific Visualization Code 

      Tartari, Giacomo; Tiede, Lars; Holsbø, Einar; Knudsen, Kenneth; Raknes, Inge Alexander; Fjukstad, Bjørn; Mode, Nicolle; Bjørndalen, John Markus; Lund, Eiliv; Bongo, Lars Ailo (Conference object; Konferansebidrag, 2014)

    • MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator 

      Kutschera, Stefan; Slany, Wolfgang; Ratschiller, Patrick; Gursch, Sarina; Dagenborg, Håvard (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-26)
      Privacy and security require not only strong algorithms but also reliable and readily available sources of randomness. To tackle this problem, one of the causes of single-event upsets is the utilization of a non-deterministic entropy source, specifically ultra-high energy cosmic rays. An adapted prototype based on existing muon detection technology was used as the methodology during the experiment ...

    • MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation 

      Srivastava, Abhishek; Jha, Debesh; Chanda, Sukalpa; Pal, Umapada; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael; Ali, Sharib; Halvorsen, Pål (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-23)
      Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of variable sizes and train on small and biased datasets, which are common for biomedical use cases. While methods exist that incorporate multi-scale fusion approaches to address the challenges arising with variable ...

    • Muithu: Smaller Footprint, Potentially Larger Imprint 

      Johansen, Dag; Stenhaug, Magnus; Hansen, Roger Bruun Asp; Christensen, Agnar; Høgmo, Per-Mathias (Research report; Forskningsrapport, 2012)
      We describe our experience with the Muithu sports notational analysis system, a novel digital information system in the popular sports domain. The system integrates real-time coach notations with related video sequences, and is configured with small, off-the shelf and cheap components. Muithu requires little or no human post-processing, which is in strong contrast to state-of-the art resource-intensive ...

    • Multi-Agent Collision Avoidance Method Using Fuzzy Risk Estimation and Information Sharing in Unknown Environments 

      Håkansson, Anne Eva Margareta; Karlsen, Randi; Bremdal, Bernt Arild; Dundar, Yigit Can (Chapter; Bokkapittel, 2023-09-22)
      Automated vehicles within Industry 4.0 are used as logistics units where they can move resources from one place to another safely and efficiently. The automated vehicles can be tasked to work in unknown environments where collision-free navigation is challenging due to uncertainty and lack of environmental information. Collisions can damage equipment and may even cause harm to human workers sharing ...

    • A multi-centre polyp detection and segmentation dataset for generalisability assessment 

      Ali, Sharib; Jha, Debesh; Ghatwary, Noha; Realdon, Stefano; Cannizzaro, Renato; Salem, Osama E.; Lamarque, Dominique; Daul, Christian; Riegler, Michael Alexander; Ånonsen, Kim Vidar; Petlund, Andreas; Halvorsen, Pål; Rittscher, Jens; de Lange, Thomas; East, James E (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-06)
      Polyps in the colon are widely known cancer precursors identifed by colonoscopy. Whilst most polyps are benign, the polyp’s number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to automate polyp detection and segmentation. However, the main issue is that they are not tested rigorously on a large multicentre purpose-built dataset, one reason ...

    • Multi-Objective Optimal Scheduling of a Microgrid Using Oppositional Gradient-Based Grey Wolf Optimizer 

      Rajagopalan, Arul; Nagarajan, Karthik; Montoya, Oscar Danilo; Dhanasekaran, Seshathiri; Abdul Kareem, Inayathullah; Sendraya Perumal, Angalaeswari; Lakshmaiya, Natrayan; Paramasivam, Prabhu (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-29)
      Optimal energy management has become a challenging task to accomplish in today’s advanced energy systems. If energy is managed in the most optimal manner, tremendous societal benefits can be achieved such as improved economy and less environmental pollution. It is possible to operate the microgrids under grid-connected, as well as isolated modes. The authors presented a new optimization algorithm, ...

    • A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices 

      Elgazazz, Areeg Samir Ahmed; Al-Wosabi, Abdo; Khan, Mohsin; Dagenborg, Håvard Johansen (Conference object; Konferansebidrag, 2023-10-12)
      Kubernetes default configurations do not always provide optimal security and performance for all clusters and IoT edge devices deployed, making them vulnerable to security breaches and information leakage if misconfigured. Misconfiguration leads to a compromised system that disrupts the workload, allows access to system resources, and degrades the system’s performance. To provide optimal security ...

    • A multiagent architecture for a distributed artificial intelligence application 

      Hartvigsen, Gunnar; Johansen, Dag (Research report; Forskningsrapport, 1990)
      Artificial intelligence applications are normally complex, demanding much computing power. This paper presents the multiagent architecture of StormCast, a distributed artificial intelligence application for severe storm forecasting. Important objectives as scaleability, robustness and reusability can be met by partitioning an ove rall task in subtasks, distribution of the subtasks on different nodes, ...

    • A multihorizon approach for the reliability oriented network restructuring problem, considering learning effects, construction time, and cables maintenance costs 

      Bordin, Chiara; Mishra, Sambeet; Palu, Ivo (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-12-29)
      This paper presents a techno-economic optimisation tool to study how the power system expansion decisions can be taken in a more economical and efficient way, by minimising the consequent costs of network reinforcement and reconfiguration. Analyses are performed to investigate how the network reinforcement and reconfiguration should be planned, within a time horizon of several years, by continuously ...

    • MultiStage: Acting across Distance 

      Su, Fei; Tartari, Giacomo; Bjørndalen, John Markus; Ha, Hoai Phuong; Anshus, Otto (Conference object; Konferansebidrag, 2013)
      We report on a prototype system helping actors on a stage to interact and perform with actors on other stages as if they were on the same stage. At each stage four 3D cameras tiled back to back for an almost 360 degree view, continuously record actors. The system processes the recorded data on-the-fly to discover actions by actors that it should react to, and it streams data about actors and their ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...