Browsing Institutt for teknologisystemer by Title

Now showing items 1-20 of 235

  • A framework for automatic behavior generation in multi-function swarms 
    Engebråten, Sondre Andreas; Moen, Jonas; Yakimenko, Oleg A.; Glette, Kyrre (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Multi-function swarms are swarms that solve multiple tasks at once. For example, a quadcopter swarm could be tasked with exploring an area of interest while simultaneously functioning as ad-hoc relays. With this type of ...
  • A Framework for Flexible Program Evolution and Verification of Distributed Systems 
    Owe, Olaf; Fazeldehkordi, Elahe; Lin, Jia-Chun (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
    Program evolution may reveal bad design decisions, misunderstandings, erroneous code, or erroneous specifications, because problems made early in the design of a system may not be discovered until much later in the life-time ...
  • A graph neural approach for group recommendation system based on pairwise preferences 
    Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2024)
    Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ...
  • A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature 
    Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)
    With the emergence of Internet of Things (IoT), securing and managing large, complex enterprise network infrastructure requires capturing and analyzing network traffic traces in real time. An accurate passive operating ...
  • A Methodology for Security Classification applied to Smart Grid Infrastructures 
    Shrestha, Manish; Johansen, Christian; Noll, Josef; Roverso, Davide (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    The electricity grid is an important critical infrastructure that is undergoing major changes, due to the Internet of Things (IoT) and renewable energy, heading towards the smart grid. However, besides the many good promises ...
  • A parallel approach for detecting OpenFlow rule anomalies based on a general formalism 
    Aryan, Ramtin; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    As the policies of a software-defined networking (SDN) network can be updateddynamically and often at a high pace, conflicts between policies can easily occur. Dueto the large number of switches and heterogeneous policies ...
  • A Performance Characteristic for Net Light Collection in Hyperspectral and Conventional Cameras: A* 
    Skauli, Torbjørn (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    The signal-to-noise ratio of modern cameras under normal operating conditions tends to be limited by “photon noise” originating from the random arrival of photons. For best signal-to-noise ratio, it is desirable to collect ...
  • A personality-aware group recommendation system based on pairwise preferences 
    Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    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 ...
  • A Recurrent Neural-Network-Based Real-Time Dynamic Model for Soft Continuum Manipulators 
    Tariverdi, Abbas; Venkiteswaran, Venkatasubramanian Kalpathy; Richter, Michiel; Elle, Ole Jakob; Tørresen, Jim; Mathiassen, Kim; Misra, Sarthak; Martinsen, Ørjan Grøttem (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    This paper introduces and validates a real-time dynamic predictive model based on a neural network approach for soft continuum manipulators. The presented model provides a real-time prediction framework using neural-network-based ...
  • A renewable power system for an off-grid sustainable telescope fueled by solar power, batteries and green hydrogen 
    Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Zeyringer, Marianne; Sartori, Sabrina (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    A large portion of astronomy’s carbon footprint stems from fossil fuels supplying the power demand of astronomical observatories. Here, we explore various isolated low-carbon power system setups for the newly planned Atacama ...
  • A Survey of 802.15.4 TSCH Schedulers for a Standardized Industrial Internet of Things 
    Urke, Andreas Ramstad; Kure, Øivind; Øvsthus, Knut (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Concepts such as Industry 4.0 and Cyber-Physical Systems may bring forward a new industrial revolution. These concepts require extensive connectivity far beyond what is provided by traditional industrial networks. The ...
  • A Taxonomy for Approximate Computing Applied to the Sobel Filter 
    Petlund, Jørgen (Master thesis / Masteroppgave, 2022)
    The resources in a system should be utilized efficiently to obtain relevant information. Approximate computing allows trading a reduction in accuracy for efficiency gains. However, approximate computing is generally concerned ...
  • A Unified Graph Formulation for Spatio-Temporal Wind Forecasting 
    Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    With the rapid adoption of wind energy globally, there is a need for accurate short-term forecasting systems to improve the reliability and integration of such energy resources on a large scale. While most spatio-temporal ...
  • Adaptive Pursuit Learning for Energy‐efficient Target Coverage in Wireless Sensor Networks 
    Upreti, Ramesh; Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Engelstad, Paal E.; Yazidi, Anis (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    With the proliferation of technologies such as wireless sensor networks (WSNs) and the Internet of things (IoT), we are moving towards the era of automation without any human intervention. Sensors are the principal components ...
  • Advanced passive operating system fingerprinting using machine learning and deep learning 
    Hagos, Desta Haileselassie; Løland, Martin V.; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E. (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
    Securing and managing large, complex enterprise network infrastructure requires capturing and analyzing network traffic traces in real-time. An accurate passive Operating System (OS) fingerprinting plays a critical role ...
  • An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access 
    Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2020)
    Non-orthogonal multiple access (NOMA) is consid-ered an important candidate for the next-generation cellular networks to address the issue of exponentially growing data traffic from technologies like the Internet of Things ...
  • An Incremental Approach for Swift OpenFlow Anomaly Detection 
    Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E. (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
    Software Defined Networking (SDN) is designed for dynamic policy update where frequent changes are pushed to the forwarding devices. Different offline approaches for detecting misconfiguration anomalies in SDN by taking a ...
  • Analysis of Battery Integrated Fast-Charging Station for Electric Vehicles 
    Strindberg, Kasper (Master thesis / Masteroppgave, 2022)
  • Analysis of Solar Power in Multi-residential Households 
    Samset, Martin (Master thesis / Masteroppgave, 2023)
    This master's thesis investigates the optimal level of investment in solar power for multi-residential households in Norway, in the context of the country's upcoming solar sharing scheme. This scheme will enable localized ...
  • Analyzing the Simulated Binary Crossover Operator in Multi-Objective Evolutionary Algorithms 
    Rafstedt, Max Magnus Nils (Master thesis / Masteroppgave, 2024)
    This thesis is concerned with optimization problems, which are central to solving important challenges in a multitude of scientific fields. It focuses on multi-objective optimization problems, and the application of genetic ...