• D2C-DM: Distributed-to-Centralized Data Management for Smart Cities Based on Two Ongoing Case Studies 

      Sinaeepourfard, Amir; Krogstie, John; Petersen, Sobah Abbas (Chapter, 2019)
      Smart city environments follow different technological management strategies (such as resource management, data management, and so on) between end-users to city planners and technological devices (e.g., sensor, camera ...
    • D2C-SM: Designing a Distributed-to-Centralized Software Management Architecture for Smart Cities 

      Sinaeepourfard, Amir; Petersen, Sobah Abbas; Ahlers, Dirk (Peer reviewed; Journal article, 2019)
      Smart city innovations can enhance the quality of citizens’ life through different smart technology management solutions, including resource management, data management, and software management. Nowadays, there are two ...
    • Dag-0 arbeidsflyt for administrasjon av krevende trådløse nettverk 

      Wasbø, Ådne Rosseland (Bachelor thesis, 2021)
      I en verden der behovet for trådløs teknologi kontinuerlig øker, blir det stadig viktigere å kunne levere et trådløst nettverk med svært høy kvalitet og med høy tilgjengelighet. Det er ikke lenger nok å montere et fåtalls ...
    • The DaisyPlayer Project 

      Lindhjem, Andre; Holien, Kjetil; Risa, Terje; Nerbråten, Øyvind (Bachelor thesis, 2006)
      During the progress of this Open Source project, we have created a library for parsing and playing a Daisy Digital Talking Book. We have also developed two front-ends which utilizes our library, one with a graphical user ...
    • Dancing Robots 

      Tidemann, Axel (Master thesis, 2006)
      This Master s thesis implements a multiple paired models architecture that is used to control a simulated robot. The architecture consists of several modules. Each module holds a paired forward/inverse model. The inverse ...
    • Dancing Robots 

      Tidemann, Axel (Master thesis, 2006)
      This Master?s thesis implements a multiple paired models architecture that is used to control a simulated robot. The architecture consists of several modules. Each module holds a paired forward/inverse model. The inverse ...
    • Data Analysis for the Mobile Application of the selfBACK Decision Support System 

      He, Yu (Master thesis, 2018)
      The aim of the thesis is to find user behavior patterns by applying unsupervised learning methods on the selfBACK app usage data. The recognized patterns will be used as references to select interviewees in the process ...
    • Data Analytics for HUNT: Recognition of Physical Activity on Sensor Data Streams 

      Reinsve, Øyvind (Master thesis, 2018)
      Human Activity Recognition (HAR) is the field of recognizing activities by analyzing measurements of a subject s movement and environment. A major application of HAR systems is medical research. Th e Nord-Trøndelag Health ...
    • Data and knowledge manangement in field studies A case for semantic technologies 

      Schaathun, Hans Georg; Tran, Que; Tollefsen, Mikael; Gernez, Etienne (Journal article; Peer reviewed, 2017)
      Ship design is a knowledge-intensive industry. To design safe ship systems for demanding operations, there is an increasing need for comprehensive knowledge of the operational context. Field studies is an important source ...
    • Data Curation as Governance Practice 

      Parmiggiani, Elena; Grisot, Miria (Peer reviewed; Journal article, 2020)
      Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions ...
    • Data driven case base construction for prediction of success of marine operations 

      Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge (Journal article; Peer reviewed, 2017)
      It is a common situation to have lots of recorded data that you want to use for improving a process in your organization or make use of this data to provide new services or products. Starting with one primary data set we ...
    • Data Driven Protein Structure Prediction: Development of a SAXS ab initio modeling in a probabilistic inference framework 

      Andreetta, Christian (Master thesis, 2008)
      Protein structure prediction is one of the most interesting and researched targets in computational biology. The problem in itself is easily posed: to model the three-dimensional structure of a protein, given its genetic ...
    • Data Efficient Deep Reinforcement Learning through Model-Based Intrinsic Motivation 

      Nylend, Mikkel Sannes (Master thesis, 2017)
      In the last few years we have experienced great advances in the field of reinforcement learning (RL), much thanks to deep learning. By introducing deep neural networks in RL it is possible to have agents learn complex ...
    • Data Governance i Praksis: Et Casestudie av IT Outsourcing 

      Blikeng, Simen Aske (Master thesis, 2020)
      Formålet med denne oppgaven er å kunne se på hvordan data governance utspiller seg i praksis i en IT outsourcing. Ved å opparbeide seg en dypere forståelse for hva som skjer i en outsourcing fra outsourcing-selskapet sitt ...
    • Data Hiding by White Modulation in Color Direct Binary Search Halftones 

      Kitanovski, Vlado; Eschbach, Reiner; Pedersen, Marius; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2017)
      In this article, the authors propose a method for hiding a visual watermark in color printed images with arbitrary, natural content. The embedded watermark is imperceptible under normal illumination, but it is revealed ...
    • Data Infrastructures in the Public Sector: A Critical Research Agenda Rooted in Scandinavian IS Research 

      Parmiggiani, Elena; Grisot, Miria (Chapter, 2019)
      Extant Information Systems research emphasizes the strategic benefits of digitalization and value cocreation for business. Less is known, however, about the dynamics of how value is co-created in the digitalization of the ...
    • Data-centric knowing: A case study of oil exploration in the North Sea 

      Mikalsen, Marius (Doctoral theses at NTNU;2018:344, Doctoral thesis, 2018)
      This thesis investigates the practice of using large amounts of sensory generated, uncertain data for making prospects of oil and gas reservoirs in the North Sea. The research is based on a 36-month case study of the ...
    • A Data-Driven Approach for Determining Weights in Global Similarity Functions 

      Jaiswal, Amar Deep; Bach, Kerstin (Peer reviewed; Journal article, 2019)
      This paper presents a method to discover initial global similarity weights while developing a case-based reasoning (CBR) system. The approach is based on multiple feature relevance scoring methods and the relevance of ...
    • Data-Driven Machine Learning Approach for Human Action Recognition Using Skeleton and Optical Flow 

      Lee, Yen-Ting; Pengying, Thitinun; Yildirim Yayilgan, Sule; Elezaj, Ogerta (Chapter, 2021)
      Human action recognition is a very challenging problem due to numerous variations in each body part. In this paper, we propose a method for extracting optical flow information from skeleton data to address the problem of ...
    • Data-driven Security Game - STIX and Stones 

      Løvgren, Dag Erik Homdrum (Master thesis, 2018)
      In this day and age, the field of information security is becoming more and more important. Developers need to know how to defend against new threats to their system. Unfortunately, the field of information security is not ...