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"CyberWiseKids": Gamifying Education of Kids on Online Opportunities and Security Risks
(SINTEF Rapport;2019:00385, Report, 2019)This report summarizes the motivation and the goals of the "CyberWiseKids" project proposal. The proposal was designed by SINTEF in 2015 and revised in 2016, with the aim of developing a research and innovation project ... -
D2.2 Updated cyber risk assessment for the maritime industry
(SINTEF Rapport;2021:00341, Research report, 2021)This report presents an updated assessment of the cyberthreat landscape in the context of CySiMS-SE. It is based on the previous work from CySiMS “D1.1 Risk Model and Analysis” and the methodology from CySiMS-SE “D2.1 ... -
D2.3 CySiMS Cyber Event Exercise Handbook
(SINTEF rapport;2021:00319, Research report, 2021)This document is a handbook for developing cyber event exercises relevant for the intended users of the CySiMS-SE secure communication solution. The document includes a selected set of scenarios that are relevant to ... -
D2.3.01/02/04 Sensors for condition monotoring of different componenets of (offshore-)wind power plants
(SINTEF Rapport;, Research report, 2012)In this report an overview is given over condition monitoring (CM) and structural health monitoring(SHM) for offshore wind turbines with a special focus on two innovative sensor types – Fiber Bragg Grating (FBG) and ... -
D4.3 Multi-modal communication - Securing future communication across different sectors and technologies
(SINTEF rapport;2021:00314, Research report, 2021)This document introduces the concept of multi-modal communication, using the coordination of a Search and Rescue (SAR) operation as an illustrating scenario, identifies challenges for secure information exchange and ... -
Daily Stand-Up Meetings: Start Breaking the Rules!
(Peer reviewed; Journal article, 2020)Daily stand-up meetings are commonly used for software teams to collaborate and exchange information, but conducting them in a way that benefits the whole team can be challenging. We describe factors that can affect meetings ... -
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs
(Chapter, 2020)In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ... -
Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs
(Chapter, 2020)In this work, we perform fully nonlinear data assimilation of ocean drift trajectories using multiple GPUs. We use an ensemble of up to 10000 members and the sequential importance resampling algorithm to assimilate ... -
Data Handling in Knowledge Infrastructures: A Case Study from Oil Exploration
(Journal article; Peer reviewed, 2018)Offshore oil exploration is concerned with subsea geological reservoirs that are numerous kilometers below the seabed. These reservoirs are knowable only through a knowledge infrastructure of interconnected technologies ... -
Data preparation as a service based on Apache Spark
(Journal article; Peer reviewed, 2017)Data preparation is the process of collecting, cleaning and consolidating raw datasets into cleaned data of certain quality. It is an important aspect in almost every data analysis process, and yet it remains tedious and ... -
Data Quality Barriers for Transparency in Public Procurement
(Peer reviewed; Journal article, 2022)Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ... -
Data quality issues for vibration sensors: a case study in ferrosilicon production
(Chapter, 2022)Digitisation in the mining and metal processing industries plays a key role in their modernisation. Production processes are more and more supported by a variety of sensors that produce large amounts of data that meant to ... -
Data quality issues in solar panels installations: a case study
(Chapter, 2022)Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of ... -
Data Safety, Sources, and Data Flow in the Offshore Industry
(Chapter; Peer reviewed, 2021)Digitization may provide increased access to and more efficient use of real-time and historical data, internally as well as externally in an organization. However, when information from industrial control systems (ICS) ... -
The Data Value Quest: A Holistic Semantic Approach at Bosch
(Peer reviewed; Journal article, 2022) -
A data-driven approach for twitter hashtag recommendation
(Peer reviewed; Journal article, 2020)This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ... -
A Data-Driven Approach for Twitter Hashtag Recommendation
(Peer reviewed; Journal article, 2020)This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ... -
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
(Journal article; Peer reviewed, 2018)In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid scale turbulence effects. We ... -
Data-driven modelling with coarse-grid network models
(Peer reviewed; Journal article, 2023)We propose to use a conventional simulator, formulated on the topology of a coarse volumetric 3D grid, as a data-driven network model that seeks to reproduce observed and predict future well responses. The conceptual ... -
Data-driven quasi-interpolant spline surfaces for point cloud approximation
(Peer reviewed; Journal article, 2020)In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We briefly describe the properties of the ...