• A secure user authentication protocol for sensor network in data capturing 

      Quan, Zhou; Chumning, Tan; Chunming, Rong; Xianghan, Zhen (Journal article; Peer reviewed, 2015-04)
      Sensor network is an important approach of data capturing. User authentication is a critical security issue for sensor networks because sensor nodes are deployed in an open and unattended environment, leaving them possible ...
    • A Study on Physics Informed Neural Networks, with Applications for Compartment Models 

      Lukerstuen, Lars B. (Master thesis, 2022)
      The main goal of this thesis was to investigate the methodology of Physics Informed Neural Networks (PiNN), as a computational tool leveraging differential equations as a regularization for a learning task. PiNN is a new ...
    • A system for automatic cultivation of microogranisms in the biology laboratory 

      Arnesen, Stian; Haugen, Vidar (Master thesis, 2021)
      Currently, the biology laboratory at the University of Stavanger has a manually controlled microorganism cultivation setup used for studying different types of biological wastewater treatment. The setup uses a sequencing ...
    • A system for automatic cultivation of microorganisms in the biology laboratory. 

      Arnesen, Stian; Haugen, Vidar (Master thesis, 2021)
      Currently, the biology laboratory at the University of Stavanger has a manually controlled microorganism cultivation setup used for studying different types of biological wastewater treatment. The setup uses a sequencing ...
    • A Web Based Solution to Track Trawl Vessel Activities Over Pipelines in Norwegian Continental Shelf 

      Palanisamy, Anandhakumar (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      Vessel Activities such as trawling and anchoring represent a risk to offshore marine structures such as pipelines, subsea structures, cables and platforms. Third party interference is a major contributor to the damage and ...
    • A Widespread Review of Smart Grids Towards Smart Cities 

      Farmanbar, Mina; Parham, Kiyan; Arild, Øystein; Rong, Chunming (Journal article; Peer reviewed, 2019-11)
      Nowadays, the importance of energy management and optimization by means of smart devices has arisen as an important issue. On the other hand, the intelligent application of smart devices stands as a key element in establishing ...
    • A Widespread Review of Smart Grids Towards Smart Cities 

      Farmanbar, Mina; Parham, Kiyan; Arild, Øystein; Chunming, Rong (Journal article; Peer reviewed, 2019-11)
      Nowadays, the importance of energy management and optimization by means of smart devices has arisen as an important issue. On the other hand, the intelligent application of smart devices stands as a key element in establishing ...
    • Accountability Requirements for the Cloud 

      Jaatun, Martin Gilje; Tøndel, Inger Anne; Moe, Nils Brede; Cruzes, Daniela Soares; Bernsmed, Karin; Haugset, Børge (Chapter, 2017)
      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 introduces additional accountability ...
    • 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 ...