Blar i Institutt for datateknologi og informatikk på tittel
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D2C-DM: Distributed-to-Centralized Data Management for Smart Cities Based on Two Ongoing Case Studies
(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
(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
(Bachelor thesis, 2021) -
The DaisyPlayer Project
(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
(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
(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
(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
(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
(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 Architecture and Design of in-vivo Neurosurgical Hyperspectral Image Database
(Master thesis, 2022)In recent years, the use of hyperspectral imaging (HSI) for microneurosurgical applications has been introduced. One of the most significant challenge that researchers and neurosurgeons face when developing or applying ... -
Data curation as anticipatory generification in data infrastructure
(Peer reviewed; Journal article, 2023)Data curation is crucial for data reusability. New possibilities for digital data sharing are an urgent concern for data curators, who must keep historical datasets and present data collections always ready to meet unknown ... -
Data Curation as Governance Practice
(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
(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
(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
(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
(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
(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
(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 preparation and sharing practices: A case of environmental monitoring in Norway
(Master thesis, 2022)Miljødata blir brukt til å informere, begrunne, og evaluere miljøpolitikk. Dermed er det avgjørende at denne dataen både er av høy kvalitet, og at den er presis i sin gjenspeiling av den virkelige verden. Hvordan forskere ... -
Data Protection Fortification: A Data-centric Threat Modeling Method for Development Teams to Assess the Risk of Data Tampering and Support Secure Handling of External Data Sources
(Master thesis, 2022)Datasystemer avhenger av data for å kunne bidra til en bedre situasjonsforståelse, som tillater overvåking av ulike faktorer innen miljø, energi og i industrielle produksjonsmiljøer. Slike datasystemer avhenger ofte av ...