Search results for "kommunikasjon"

Optimization of Power Supply for Hydrology-and Meteorology-stations : Optimization of power supply for off-grid hydrology- and meteorology-stationsus…

2019

Master's thesis Renewable Energy ENE500 - University of Agder 2019 This thesis consider a case study of a PV/wind/battery hybrid energy system installed at Scanmatic ASheadquarters in Arendal, Norway. The energy system is a stand-alone and off-grid hybrid system. It consistof four PV panels of 20 W with different tilt and orientation, a wind turbine of 300 W and a battery of1.4 kWh. This work consider machine learning and artificial intelligence in Python 3 for prediction andoptimization. Machine learning is used to predict the power production from the system components basedon the weather data at site. Artificial intelligence is used to optimize the system size based on cost and theabilit…

A novel learning automata game with local feedback for parallel optimization of hydropower production

2017

Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Hydropower optimization for multi-reservoir systems is classi ed as a combinatorial optimization problem with large state-space that is particularly di cult to solve. There exist no golden standard when solving such problems, and many proposed algorithms are domain speci c. The literature describes several di erent techniques where linear programming approaches are extensively discussed, but tends to succumb to the curse of dimensionality problem when the state vector dimensions increase. This thesis introduces LA LCS, a novel learning automata algorithm that utilizes a parallel form of local feedbac…

Virtual reality applications for higher education: Design elements, lessons learned, and research agenda

2019

Advances in Deep Learning Towards Fire Emergency Application : Novel Architectures, Techniques and Applications of Neural Networks

2020

Paper IV is not published yet. With respect to copyright paper IV and paper VI was excluded from the dissertation. Deep Learning has been successfully used in various applications, and recently, there has been an increasing interest in applying deep learning in emergency management. However, there are still many significant challenges that limit the use of deep learning in the latter application domain. In this thesis, we address some of these challenges and propose novel deep learning methods and architectures. The challenges we address fall in these three areas of emergency management: Detection of the emergency (fire), Analysis of the situation without human intervention and finally Evac…

Supporting Effective Online Learning Groups for eLearning Systems

2020

Learning in groups has been advocated to increase learning based on the social constructivist learning theory. ICT has been preferred to bridge the gap between distance learning students for possibilities to enhance the benefits of learning groups. However, although learning groups can bring about meaningful learning, learning groups in online environments are often not working. To solve this problem, this study uses design science approaches to establish methods and factors that support effective online learning groups. Within design science three case studies were used. These case studies were used under three research areas: context of online learning groups, processes to support effecti…

IT infrastruktur for tilstandsbasert vedlikehold

2012

Masteroppgave i mekatronikk MAS500 - Universitetet i Agder, 2012 Konfidensiell til / confidential until 01.07.2017

MapAI: Precision in BuildingSegmentation

2022

MapAI: Precision in Building Segmentation is a competition arranged with the Norwegian Artificial Intelligence Research Consortium (NORA) in collaboration with Centre for Artificial Intelligence Research at the University of Agder (CAIR), the Norwegian Mapping Authority, AI:Hub, Norkart, and the Danish Agency for Data Supply and Infrastructure. The competition will be held in the fall of 2022. It will be concluded at the Northern Lights Deep Learning conference focusing on the segmentation of buildings using aerial images and laser data. We propose two different tasks to segment buildings, where the first task can only utilize aerial images, while the second must use laser data (LiDAR) with…

An Evaluation of Telemedicine Systems in Patient-centred Care Teams

2020

Fractional-Order Partial Cancellation of Integer-Order Poles and Zeros

2022

The key idea of this contribution is the partial compensation of non-minimum phase zeros or unstable poles. Therefore the integer-order zero/pole is split into a product of fractional-order pseudo zeros/poles. The amplitude and phase response of these fractional-order terms is derived to include these compensators into the loop-shaping design. Such compensators can be generalized to conjugate complex zeros/poles, and also implicit fractional-order terms can be applied. In the case of the non-minimum phase zero, its compensation leads to a higher phase margin and a steeper open-loop amplitude response around the crossover frequency resulting in a reduced undershooting in the step-response, a…

Models, systems, and descriptions - A cross-disciplinary reflection on models

2023

There are many different notions of models in different areas of science that are often not aligned, making it difficult to discuss them across disciplines. In this study, we look at the differences between physical models and mental models as well as the difference between static and dynamic models. Semiotics provides a philosophical underpinning by explaining meaning-making. This allows for identifying a common ground between models in different areas. We use examples from natural sciences and linguistics to illustrate different approaches and concepts and to find commonalities. This study distinguishes between systems, models, and descriptions of models. This distinction allows us to und…