SINTEF Digital: Recent submissions
Now showing items 761-780 of 2523
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An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science
(Peer reviewed; Journal article, 2021)Purpose: Citizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major ... -
Nonlinear proper orthogonal decomposition for convection-dominated flows
(Peer reviewed; Journal article, 2021)Autoencoder techniques find increasingly common use in reduced order modeling as a means to create a latent space. This reduced order representation offers a modular data-driven modeling approach for nonlinear dynamical ... -
Saving Nine Without Stitching in Time: Integrity Check After-the-fact
(Chapter; Peer reviewed, 2021)Electrical substations transform voltage from high to low, or low to high for distribution and transmission, respectively, and are a critical part of our electricity infrastructure. The state of a substation is continuously ... -
Additive Manufacturing of Spare Parts in the Maritime Industry: Knowledge Gaps for Developing a Norwegian AM-Based Business Ecosystem for Maritime Spare Parts
(Chapter; Peer reviewed, 2021)Additive Manufacturing (AM), also known as industrial 3D printing, is a high skill technology that can improve the safety level in the maritime industry, reduce costs for the actors and lead to environmental improvement ... -
HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features
(Peer reviewed; Journal article, 2021)In this paper, we present HTAD: A Home Tasks Activities Dataset. The dataset contains wrist-accelerometer and audio data from people performing at-home tasks such as sweeping, brushing teeth, washing hands, or watching TV. ... -
An Analysis of Data Production Based on the Consistency of Decision Matrices
(Peer reviewed; Journal article, 2021)Multi-criteria decision making methods are used to solve numerous problems related to several disciplines such as engineering, management and business. Consistency of a decision making application is of crucial importance ... -
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model
(Peer reviewed; Journal article, 2021)High-utility sequential pattern mining (HUSPM) is a hot research topic in recent decades since it combines both sequential and utility properties to reveal more information and knowledge rather than the traditional frequent ... -
Machine Learning for Identifying Group Trajectory Outliers
(Peer reviewed; Journal article, 2021)Prior works on the trajectory outlier detection problem solely consider individual outliers. However, in real-world scenarios, trajectory outliers can often appear in groups, e.g., a group of bikes that deviates to the ... -
An evolutionary model to mine high expected utility patterns from uncertain databases
(Peer reviewed; Journal article, 2021)In recent decades, mobile or the Internet of Thing (IoT) devices are dramatically increasing in many domains and applications. Thus, a massive amount of data is generated and produced. Those collected data contain a large ... -
Hybrid group anomaly detection for sequence data: application to trajectory data analytics
(Peer reviewed; Journal article, 2021)Many research areas depend on group anomaly detection. The use of group anomaly detection can maintain and provide security and privacy to the data involved. This research attempts to solve the deficiency of the existing ... -
Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things
(Peer reviewed; Journal article, 2021)This paper introduced a new deep learning framework for fault diagnosis in electrical power systems. The framework integrates the convolution neural network and different regression models to visually identify which faults ... -
Fast and accurate convolution neural network for detecting manufacturing data
(Peer reviewed; Journal article, 2021)This article introduces a technique known as clustering with particle for object detection (CPOD) for use in smart factories. CPOD builds on regional-based methods to identify smart object data using outlier detection, ... -
Impact of illumination spectrum and eye pigmentation on image quality from a fundus camera using transscleral illumination
(Peer reviewed; Journal article, 2021)Significance: The use of the transscleral illumination approach has the potential to simplify the optical design of fundus cameras. In particular, this approach could allow the use of smaller and cheaper cameras that are ... -
Multi-band Multi-site GNSS RFI Monitoring Results after a Year of Operation
(Peer reviewed; Journal article, 2021)An international network of Radio Frequency Interference (RFI) monitoring stations covering all L-band Global Navigation Satellite System (GNSS) signals has provided large amounts of data on the occurrence rates and ... -
Emergent Deep Learning for Anomaly Detection in Internet of Everything
(Peer reviewed; Journal article, 2021)This research presents a new generic deep learning framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect ... -
Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems
(Peer reviewed; Journal article, 2021)Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation systems, which can be used to provide safety, sustainability, efficiency, communication and cooperation between vehicles, roadside ... -
Secure Collaborative Augmented Reality Framework for Biomedical Informatics
(Peer reviewed; Journal article, 2021)Augmented reality is currently a great interest in biomedical health informatics. At the same time, several challenges have been appeared, in particular with the rapid progress of smart sensors technologies, and medical ... -
Trajectory outlier detection: New problems and solutions for smart cities
(Peer reviewed; Journal article, 2021)This article introduces two new problems related to trajectory outlier detection: (1) group trajectory outlier (GTO) detection and (2) deviation point detection for both individual and group of trajectory outliers. Five ... -
Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning
(Peer reviewed; Journal article, 2021)With recent advances in the field of sensing, it has become possible to build better assistive technologies. This enables the strengthening of eldercare with regard to daily routines and the provision of personalised care ... -
High-quality dense 3D point clouds with active stereo and a miniaturizable interferometric pattern projector
(Peer reviewed; Journal article, 2021)We have built and characterized a compact, simple and flexible 3D camera based on interferometric fringe projection and stereo reconstruction. The camera uses multi-frame active stereo as basis for 3D reconstruction, ...