• Accountability Requirements in the Cloud Provider Chain 

      Jaatun, Martin Gilje; Tøndel, Inger Anne; Moe, Nils Brede; Cruzes, Daniela Soares; Bernsmed, Karin; Haugset, Børge (Journal article; Peer reviewed, 2018-04)
      In order to be responsible stewards of other people’s data, cloud providers must be accountable for their data handling practices. The potential long provider chains in cloud computing introduce additional accountability ...
    • Acropolis: aggregated client request ordering by Paxos 

      Jothen, Stephen Michael (Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)
      The consensus problem is one of the most central problems in distributed system. Paxos, an algorithm that solves this problem, can be used to im- plement replicated state machines (RSMs). By running Paxos for each of the ...
    • Active Noise Control in the Offshore Industry 

      Mehus, Haakon (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-29)
      Hearing damage among offshore workers has been a problem for many years, and it remains one of the most common disorders in this group. A proposal to use active noise control to improve the noise conditions has thus been ...
    • Activity-Oriented Petri Net for scheduling of resources 

      Davidrajuh, Reggie (Conference object, 2012-10)
      This work presents a new methodology for modeling discrete systems in which activities compete for resources. The new methodology known as Activity-Oriented Petri Net (AOPN) allows modelers to concentrate on modeling ...
    • Actuator and sensor fault estimation based on a proportional multiple‐integral sliding mode observer for linear parameter varying systems with inexact scheduling parameters 

      Gómez-Peñate, Samuel; Rotondo, Damiano (Peer reviewed; Journal article, 2020)
      This article proposes an approach for the estimation of states, actuator, and sensor faults in nonlinear systems represented by a polytopic linear parameter varying (LPV) system with inexact scheduling parameters. In the ...
    • Ad Hoc Table Retrieval using Semantic Similarity 

      Zhang, Shuo; Balog, Krisztian (Chapter, 2018)
      We introduce and address the problem of ad hoc table retrieval: answering a keyword query with a ranked list of tables. This task is not only interesting on its own account, but is also being used as a core component in ...
    • Adapt and Generalize Deep Learning Methods for Activity Recognition on Newborn Resuscitation Videos 

      Lapin, Håvard (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)
      Low- and middle-income countries have nearly 99 % of deaths of children under 28 days. Complications during childbirths, such as birth asphyxia, account for most of these deaths. To prevent this, strengthening the quality ...
    • Adaptive Digitale Filtre 

      Raghe, Mohammed Hassan; Hassan, Ahmed Abdullahi (Bachelor thesis, 2022)
      I adaptiv filtrering er LMS-algoritmen den enkleste, og mest brukte algo- ritmen. Fordi den er enkel har den en del svakheter. Et bedre filter vil da være NSAF-algoritmen som krever mye beregningskraft, men har ...
    • Adaptive digitale filtre 

      Hassan, Ahmed Abdullahi; Raghe, Mohammed Hassan (Bachelor thesis, 2022)
      I adaptiv filtrering er LMS-algoritmen den enkleste, og mest brukte algoritmen. Fordi den er enkel har den en del svakheter. Et bedre filter vil da være NSAF-algoritmen som krever mye beregningskraft, men har god ...
    • Adaptive Selection and Delivery of Rich Media Notifications to Mobile Users 

      Jonassen, Mats (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      The ongoing increase in cellular network coverage is steadily increasing the availability of individuals all around the world. This availability enables notification solutions to achieve their goals of announcing new ...
    • Adding scalability and high availability to enterprise performance management software 

      Aase, Stefan Andrew (Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-12)
      Corporater AS is a world leading provider of enterprise performance management software. The reason for businesses to use enterprise performance management systems so that the company can make better decisions based on the ...
    • Advanced Deep Learning for Whale detection in VHR Satellite Images 

      Rabbani, Rabbir Bin (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      With the use of very high resolution (VHR) satellite images we can locate whales. In this thesis, I have experimented with different advanced architectures in Deep Learning to detect whales in satellite images. I have also ...
    • Advanced vision based vehicle classification for traffic surveillance system using neural networks 

      Thomessen, Eirik Aflekt (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)
      This master thesis focus on traffic monitoring, which are of importance to fulfill planning and traffic management of road networks. An important requirement is data interpretation accuracy to provide adequate characteristic ...
    • Advancing Deep Learning to Improve Upstream Petroleum Monitoring 

      Heghedus, Cristina Viorica; Shchipanov, Anton; Chunming, Rong (Peer reviewed; Journal article, 2019)
      Data analytics is rapidly growing field in both academia and industry dealing with processing and interpreting large and complex data sets. It has got already many successful applications via advancing machine (ML) and ...
    • Agil Utvikling av et Modulært System for Ferie- og Avspaseringshåndtering 

      Alvsåker, Daniel (Bachelor thesis, 2023)
      Denne avhandlingen presenterer design og implementasjon av et system for å strømlinjeforme prosessen med å forespørre ferie og avspasering for ansatte hos Bouvet. Det sentrale målet med prosjektet var å skape et modulært ...
    • AI based residential load forecasting 

      abbasian, nikisadat (Master thesis, 2022)
      The increasing levels of energy consumption worldwide is raising issues with respect to surpassing supply limits, causing severe effects on the environment, and the exhaustion of energy resources. Buildings are one of the ...
    • Aktiv støydemping i hodetelefoner 

      Brandal, Jon (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      Akustisk støy er i dag et økende problem i hverdagen for mange. Støy omgir oss i store deler av arbeidsdagen. Dette kan skape ubehag og bidra til hørselsskader. Spesielt i den industrielle sektoren kan maskinstøy være ...
    • Alarm håndtering 

      Abdul Nabi, Aures (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
    • Allvis - applikasjon for visualisering av samlet informasjon 

      Marthe Dybdahl; Hanne Eskeland Fosberg (Bachelor thesis, 2021)
      Denne bacheloroppgaven hadde som formål å lage en web-applikasjon somkunne vise informasjon kontinuerlig gjennom hele dagen ved informasjons-tavler i kontorlokalene til Profitbase.Prosjektet ble presentert av Profitbase, ...
    • An Emulation Framework for Evaluating V2X Communications in C-ITS Applications 

      Essandoh Raymond (Master thesis, 2023)
      C-ITS enhances transportation systems with advanced communication tech, enabling vehicle-to-vehicle and vehicle-to-infrastructure data exchange for real-time decision-making. The thesis explores C-ITS concepts, DSRC, and ...