Now showing items 34-53 of 555

    • Acoustic Condition Control 

      Sønderland Skjong, Andreas; Eriksen, Finn-Christian; Flor, Torbjørn Inge (Bachelor thesis, 2020)
      Hensikten med oppgaven er å forske på feltene Acoustic Preventative Maintenance, APM. Generelt løses forebyggende vedlikehold ved høye kostnader og lite fleksibilitet. Disse systemene har ofte behov for flere sensorer som ...
    • Active control of an ankle using linear actuators and load cells 

      Lillevik, Erlend; Håvardsen, Andreas Nonslid (Bachelor thesis, 2021)
      Denne rapporten gjelder utviklingen av en prototype for å utføre stabilitetstester på en ankel. Formålet med dette prosjektet er å undersøke hvordan man implementerer et slikt system, og å lage simulering og visualisering ...
    • Adaptive Internal Model Control Based on Parameter Adaptation 

      Chen, Peng; Zhang, Yunfeng; Wang, Jianhong; Azar, Ahmad Taher; Hameed, Ibrahim A.; Ibraheem, Ibraheem Kasim; Kamal, Nashwa Ahmad; Abdulmajeed, Farah Ayad (Peer reviewed; Journal article, 2022)
      In actual industrial control, many objects have the characteristics of large lag and time-varying parameters, which makes it difficult for traditional PID control to obtain satisfactory control effects. Therefore, engineers ...
    • An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs) 

      Rashid, Kanwal; Saeed, Yousaf; Ali, Abid; Jamil, Faisal; Alkanhel, Reem; Muthanna, Ammar (Peer reviewed; Journal article, 2023)
      Modern vehicle communication development is a continuous process in which cutting-edge security systems are required. Security is a main problem in the Vehicular Ad Hoc Network (VANET). Malicious node detection is one of ...
    • Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture 

      R. Shamshiri, Redmond; Kalantari, Fatemeh; Ting, K. C.; Thorp, Kelly R.; Hameed, Ibrahim A.; Weltzien, Cornelia; Ahmad, Desa; Shad, Zahra Mojgan (Journal article; Peer reviewed, 2018)
      Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image of plant factories for urban agriculture. ...
    • Adversarial Attacks on Neural Networks & Defense for it 

      Hasan Abdul Kader, Ahsan Mafaz (Master thesis, 2020)
      Den nylige utviklingen innen maskinlæring muliggjorde fremveksten av kraftige nevrale nettverk i domener som Computer Vision, NLP som er i stand til å oppnå nøyaktighet på menneskelig nivå. Som et resultat av dette ble ...
    • AI & Interactive Art 

      Eik, Terje; Sæter, Stein-Are; Espenakk, Erik (Bachelor thesis, 2016)
      Interactive art is an art form that emerges between the installation and the audience. With the advent of computer-based interactivity in the 1990s, interactive art has become increasingly popular, with programmable machines ...
    • AI and Robotics in the Fight Against COVID-19 Pandemic 

      Khamis, Alaa; Meng, Jung; Wang, Jin; Azar, Ahmad Taher; Prestes, Edson; Li, Howard; Hameed, Ibrahim A.; Haidegger, Tamás (Chapter, 2022)
      The outbreak of the novel coronavirus and its disease COVID-19 present an unprecedented challenge for humanity. Artificial Intelligence (AI) and robotics may help fighting COVID-19. Potential applications of AI in this ...
    • Aktiv læring i Mikrokontrollarar 

      Schaathun, Welie Annett; Schaathun, Hans Georg; Bye, Robin Trulssen (Journal article; Peer reviewed, 2015)
      Aktiv læring har vore ein viktig trend i utdanningssektoren i lang tid med både klassiske og moderne proponentar. I praksis skjer det likevel at aktiv læring vert sekundær til tradisjonelle førelesingar og annan passiv ...
    • Almost Global Three-Dimensional Path-Following Guidance Law for Arbitrary Curved Paths 

      Coates, Erlend Magnus Lervik; Hamel, Tarek; Fossen, Thor Inge (Peer reviewed; Journal article, 2023)
      Motivated by aircraft applications, we revisit the path-following guidance problem in three dimensions. First, by formulating the path-following error directly in the inertial frame, we propose a class of guidance laws for ...
    • Almost square and octahedral norms in tensor products of Banach spaces 

      Langemets, Johann; Lima, Vegard; Rueda Zoca, Abraham (Journal article; Peer reviewed, 2017)
      The aim of this note is to study some geometrical properties like diameter two properties, octahedrality and almost squareness in the setting of (symmetric) tensor product spaces. In particular, we show that the injective ...
    • Aluminium 3D Printing with KUKA Robot 

      Liavaag, Elias Johan; Hanstveit, Ole-Martin; Sunde, Christer Dybvik (Bachelor thesis, 2018)
      This thesis work aims to identify how additive manufacturing of aluminium can be carried out with the help of an industrial robot. The nature of aluminium means that it needs to be melted in an inert gas zone, filled with ...
    • An agent-based approach for predicting patterns of pathogen transmission between aquaculture sites in the Norwegian fjords 

      Alaliyat, Saleh Abdel-Afou; Yndestad, Harald; Davidsen, Pål (Journal article; Peer reviewed, 2019)
      The aquaculture industry is a main industry in Norway, and it must be sustainable, i.e. experience long-term growth and development: It is necessary to build an environmentally sustainable aquaculture industry that minimizes ...
    • An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things 

      Li, Xuran; Wang, Hao; Dai, Hong-Ning; Wang, Yuanyuan; Zhao, Qinglin (Journal article; Peer reviewed, 2016)
      The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers ...
    • An improved receding horizon genetic algorithm for the tug fleet optimisation problem 

      Bye, Robin Trulssen; Schaathun, Hans Georg (Chapter, 2014)
      A fleet of tugs along the northern Norwegian coast must be dynamically positioned to minimise the risk of oil tanker drifting accidents. We have previously presented a receding horizon genetic algorithm (RHGA) for solving ...
    • An intelligent winch prototyping tool 

      Bye, Robin Trulssen; Osen, Ottar; Rekdalsbakken, Webjørn; Pedersen, Birger Skogeng; Hameed, Ibrahim (Chapter, 2017)
      In this paper we present a recently developed intelligent winch prototyping tool for optimising the design of maritime winches, continuing our recent line of work using artificial intelligence for intelligent computer-automated ...
    • An IoT-based Smart and Sustainable Waste Management System for a Norwegian Municipality 

      Nasar, Wajeeha (Master thesis, 2020)
      A solid waste management system (SWMS) is the backbone of a smart and sustainable city (SSC). The SWMS includes all the factors related to waste such as collection, sorting, transportation, and recycling. The core processes ...
    • Analyse av driftsdata fra offshorefartøy 

      Berentzen, Bjørnar; Erdal, Thomas (Bachelor thesis, 2020)
      Bachelorrapporten omhandler analysering av driftsdata fra to tilnærmet like offshorefartøy som driftes utenfor Norskekysten, der det ene fartøyet er ombygd til hybridskip og det andre fartøyet nytter kun fossile brennstoff. ...
    • Analyse av kraftnett ved tilkobling av ladestasjon for elektrisk ferge 

      Aarnes, Tormod Habbestad; Ostnes, Jan Inge Einarsen; Remmen, Mathias Johann Fjørtoft (Bachelor thesis, 2018)
      Bachelorrapporten omhandler en dynamisk analyse av distribusjonsnettet i området rundt fergekaiene på Eidsdal og Linge. Den dynamiske analysen er utført på bakgrunn av planlagt elektrisk ferge på denne strekningen. Analysen ...
    • Anomaly Detection and Visualization of School Electricity Consumption Data 

      Cui, Wenqiang; Wang, Hao (Chapter, 2017)
      Anomaly detection has been widely used in a variety of research and application domains, such as network intrusion detection, insurance/credit card fraud detection, health-care informatics, industrial damage detection, ...