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Climate change impacts and fungal decay in vulnerable historie buildings at Svalbard
(Peer reviewed; Conference object; Journal article, 2020)This paper emphasises on degradation of wood in cultural heritage structures at Svalbard. Nowhere else does global heating occur faster. Negative impacts of climate change will increase the strain on wooden structures and ... -
Climate change mitigation effects: How do potential CO2 leaks from a sub-seabed storage site in the Norwegian Sea affect Astarte sp. bivalves?
(Peer reviewed; Journal article, 2021)Carbon capture and storage (CCS) is one of the most promising mitigation strategies for reducing the emissions of carbon dioxide (CO2) to the atmosphere and may substantially help to decelerate global warming. There is an ... -
Climatic Forecasting of Wind and Waves Using Fuzzy Inference Systems
(ASME Proceedings | Structures, Safety and Reliability;OMAE2017-61968, Chapter, 2017-06-25)Wind and wave climatic simulations are of great interest in a number of different applications, including the design and operation of ships and offshore structures, marine energy generation, aquaculture and coastal ... -
A closer look at constraints, stakeholders and boundary definitions in Energy (Master) Planning between neighbourhood and district
(Peer reviewed; Journal article, 2020)This paper analyzes and contrasts the framing goals and limitations that must be considered when energy master planning is conducted for communities in six different countries. The analyses will be based on findings from ... -
Closure Law Model Uncertainty Quantification
(Peer reviewed; Journal article, 2021)The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty ... -
The cloud application modelling and execution language
(Peer reviewed; Journal article, 2019)Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the single vendor ... -
Cloud Computing and Future Trends
(Lecture, 2010) -
Cloud Security Requirements - A checklist with security and privacy requirements for public cloud services
(Research report, 2015)This document contains a checklist that can be used to develop or evaluate security and privacy requirements for Cloud computing services. The content has been gathered from established industry standards and best practices, ... -
Cloud-droplet growth due to supersaturation fluctuations in stratiform clouds
(Journal article; Peer reviewed, 2019)Condensational growth of cloud droplets due to supersaturation fluctuations is investigated by solving the hydrodynamic and thermodynamic equations using direct numerical simulations (DNS) with droplets being modeled as ... -
CloudMF: Model-Driven Management of Multi-Cloud Applications
(Journal article; Peer reviewed, 2018)While the number of cloud solutions is continuously increasing, the development and operation of large-scale and distributed cloud applications are still challenging. A major challenge is the lack of interoperability between ... -
CloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing
(Journal article; Peer reviewed, 2017)This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an earlier standard from transaction processing, it represents a simplified ... -
Cluster Dynamics and Innovation
(MARINTEK Reports;MT27 A09-090, Working paper, 2009)The present paper presents the concept of cluster, what they are, which benefits they offer, the various types of clusters, the main elements forming a duster, and a tentative mode! for explaining the dynamics of dusters ... -
Cluster-based information retrieval using pattern mining
(Peer reviewed; Journal article, 2020)This paper addresses the problem of responding to user queries by fetching the most relevant object from a clustered set of objects. It addresses the common drawbacks of cluster-based approaches and targets fast, high-quality ... -
Cluster-size-dependent interaction between ethylene and CuCl2 clusters supported via γ-alumina
(Peer reviewed; Journal article, 2020)Alumina-supported copper chloride serves as an industrial catalyst for ethylene oxychlorination, resulting from its high activity and selectivity. A better understanding of the detailed active site structure and reaction ... -
Clustering and Dimensionality-reduction Techniques Applied on Power Quality Measurement Data
(Chapter; Peer reviewed, 2020)The power system is changing rapidly, and new tools for predicting unwanted events are needed to keep a high level of security of supply. Large volumes of data from the Norwegian power grid have been collected over several ... -
Clustering and Precipitation during Early-Stage Artificial Aging of Al–Si–Mg(–Cu) Foundry Alloys
(Peer reviewed; Journal article, 2023)High-Si aluminum foundry alloys are an important material class for products with complex 3D geometries where casting is the most suitable production method. With Mg and/or Cu additions, these alloys gain strength upon ... -
Clustering and Vacancy Behavior in High- and Low-Solute Al-Mg-Si Alloys
(Journal article; Peer reviewed, 2014)The precipitate microstructure and vacancy distribution in Al-Mg-Si alloys with different amounts of solute and different heat treatments were investigated by transmission electron microscopy and muon spin relaxation ... -
Clusters and coherent voids in particle-laden wake flow
(Peer reviewed; Journal article, 2021)Inertial point particles suspended in a two-dimensional unsteady circular cylinder flow at Re = 100 are studied by one-way coupled three-dimensional numerical simulations. The striking clustering pattern in the near-wake ... -
CNN-based Feature Extraction for Robotic Laser Scanning of Weld Grooves in Tubular T-joints
(Chapter, 2022)This paper presents an algorithm for feature point extraction from scanning data of large tubular T-joints (a subtype of a TKY joint). Extracting such feature points is a vital step for robot path generation in robotic ... -
CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis
(Peer reviewed; Journal article, 2022)Recognizing emotional state of human using brain signal is an active research domain with several open challenges. In this research, we propose a signal spectrogram image based CNN-XGBoost fusion method for recognising ...