The study attempts to find the best sensor configuration for modal identification on the Herøysund Bridge. The objective is to increase the amount of data obtained from structural testing while reducing the number of sensors needed thereby reducing the cost of the sensor system. Four frequently used optimal sensor placement (OSP) methods, including the modal kinetic energy (MKE) method, the effective ...

The usability of bridges is highly dependent on their safety conditions since they are subjected to all sorts of loading that might compromise their ability to withstand stresses over a prolonged period. As a result, dynamic response evaluations and fracture mechanics analysis are essential concepts that can help in monitoring the behaviour of bridges, predicting their lifespan, and planning ...

This document is a master thesis that attempts to assess the plan of pumping water from the nearby lakes of Djupåvatnet (435 m), Buvatnet (465 m), and Strandvatnet (5 m above sea level) up to the lake of Niingensvatnet (510-494 m above sea level) to store energy for later use and increase energy generation. The assessment process proved that pumping water from Strandvatnet and Djupåvatnet to ...

Offshore wind energy is receiving increased attention as a promising renewable energy source day by day, and the research in the field of designing the floating platforms to support floating offshore wind turbine (FOWT) has become very important. The evaluation of the dynamic stability of a FOWT in a challenging marine environment is the platform's capacity to maintain its initial position. These ...

Belt conveyor systems play a crucial role in the continuous transportation of bulk materials across varying distances. However, ensuring the reliability of these systems remains a significant concern for operators due to the potential financial losses incurred from system downtime, which not only impacts revenue from material conveying but also disrupts subsequent material processing facilities. The ...

This study explores the changing dynamics of power systems in the context of the global shift to renewable energy, focusing on inertia and its influence on frequency stability. Traditional stability mechanisms, centered around rotating masses like synchronous generators, face challenges due to the integration of renewables and frequency converters, resulting in a reduction in overall system inertia. ...

Music recommendation systems are crucial in guiding listeners to the extensive selection of music accessible today. However, these recommendation algorithms frequently encounter challenges such as the cold start problem, including less popular tracks, and comprehending the semantic substance of music. This thesis investigates the incorporation of Large Language Models (LLMs) and embeddings to tackle ...

This thesis explores the effectiveness of Large Language Models (LLMs) in enhancing educational methodologies, particularly focusing on personalized learning experiences in music education. Initially, a comprehensive literature review was conducted to establish the theoretical foundation and identify gaps in the current application of Large Language Models in education. Subsequently, employing a ...

This master’s thesis investigates alternative control methodologies for unmanned aerial vehicles (UAVs), focusing on integrating advanced human-machine interaction techniques. Traditional remote-controlled and sensor-based systems pose limitations, particularly for users with physical disabilities. This study explores the potential of virtual keyboards, hand gesture recognition, and eye movement ...

This thesis assesses the impact of fine-tuning and rag on llms in accurately assigning icd-10 codes to historical causes of death. Using funeral records from Trondheim, Norway (1830-1920), we fine-tuned Llama 3 and Mistral on 2000 records. Twelve experiments were conducted on 2000 additional records to evaluate the accuracy of each knowledge-injection technique, as well as a combination of the ...