Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 7686-7705 of 37669
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Data on residual stresses of mooring chains measured by neutron diffraction and hole drilling techniques
(Peer reviewed; Journal article, 2020)Residual stresses in large offshore mooring chains have been measured for the first time and presented in this article. Two chain links with the same size and material, one only subjected to proof load and no cyclic service ... -
Data on the sensory characteristics and chemical composition of the edible red seaweed dulse (Palmaria palmata) after dry and semi-dry storage
(Peer reviewed; Journal article, 2020)The data article refers to the paper “Semi-dry storage as a maturation process for improving the sensory characteristics of the edible red seaweed dulse ( Palmaria palmata )” [1] . The data refers to the analysis of samples ... -
Data pre-processing and optimization techniques for stochastic and deterministic low-order grey-box models of residential buildings
(Journal article; Peer reviewed, 2021)Grey-box models are data-driven models where the structure is defined by the physics while the parameters are calibrated using data. Low-order grey-box models of the building envelope are typically used for two main ... -
Data Pre-processing and Sensor-Fusion for Multivariate Statistical Process Control of an Extrusion Process
(Peer reviewed; Journal article, 2023)In most manufacturing processes, data related to a product are collected across several process steps. Ensuring good data quality is essential for subsequent process modeling, monitoring, and control. Although data for a ... -
Data resource profile: the Committee of Nordic Assisted Reproductive Technology and Safety (CoNARTaS) cohort
(Journal article; Peer reviewed, 2019) -
Data Safety, Sources, and Data Flow in the Offshore Industry
(Chapter, 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) ... -
Data Set from Long-Term Wave, Wind, and Response Monitoring of the Bergsøysund Bridge
(Peer reviewed; Journal article, 2023)Wind, wave, displacement, and acceleration data have been collected in a measurement campaign on Norway’s Bergsøysund Bridge, an end-supported pontoon bridge, between the years 2014 and 2018. The data set is now available ... -
A data set of a Norwegian energy community
(Peer reviewed; Journal article, 2021)This paper presents a data set designed to represent Norwegian energy communities. As such it includes household consumption data collected from smart meter measurements and divided into consumer groups, appliance consumption ... -
Data Sharing Frames: How Scientists Understand the Work of Sharing Scientific Data
(Chapter, 2023)The curation of data is fundamental to their wider dissemination and use. This paper investigates the frames of workers who perform data curation in scientific contexts. We view data curation as a sense-making practice, ... -
The Data Value Quest: A Holistic Semantic Approach at Bosch
(Journal article; Peer reviewed, 2022)Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data [1, 2] thanks to the technological advances of Industry 4.0 [1, 3], including development in perception, communication, ... -
Data Version Control for Relational Databases: Small and Start-up Business Perspective
(Peer reviewed; Journal article, 2016)Data-related businesses is an emerging trend in the recent decade. However, the availability and amount of information make it difficult to ensure quality in terms of data fusion and version control. Completely automated ... -
A data-based structural health monitoring approach for damage detection in steel bridges using experimental data
(Journal article; Peer reviewed, 2022)There is a need for reliable structural health monitoring (SHM) systems that can detect local and global structural damage in existing steel bridges. In this paper, a data-based SHM approach for damage detection in steel ... -
A data-derived reference mixture representative of European wastewater treatment plant effluents to complement mixture assessment
(Journal article; Peer reviewed, 2023)Aquatic environments are polluted with a multitude of organic micropollutants, which challenges risk assessment due the complexity and diversity of pollutant mixtures. The recognition that certain source-specific background ... -
Data-driven analysis of electricity use for office buildings: a Norwegian case study
(Peer reviewed; Journal article, 2021)Buildings are major consumers of primary energy and main contributors to carbon emission. To improve energy efficiency, it is essential to understand the characteristics of energy use in buildings. This study uses an in-use ... -
Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review
(Peer reviewed; Journal article, 2020)Data breaches in healthcare continue to grow exponentially, calling for a rethinking into better approaches of security measures towards mitigating the menace. Traditional approaches including technological measures, have ... -
A Data-Driven Approach for Determining Weights in Global Similarity Functions
(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 ... -
A data-driven approach for fault diagnosis of drivetrain system in a spar-type floating wind turbine based on the multi-point acceleration measurements
(Peer reviewed; Journal article, 2022)This paper deals with the condition monitoring of a floating wind turbine drivetrain using multi-point acceleration measurements. Single sensor data obtained from drivetrain system may provide insufficient information about ... -
Data-driven approach to design fatigue-resistant notched structures
(Peer reviewed; Journal article, 2022)Fatigue is the most common failure mode for engineering materials in various industrial applications. Generally, designing new products and components based on typical deterministic fatigue design approaches is slow and ... -
A Data-driven Approach to Learning Salience Models of Indoor Landmarks by Using Genetic Programming
(Journal article; Peer reviewed, 2020)