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 ...

Nowadays, due to growth of advanced technology and its impact on people lives, there is an increasing need for aligning and optimizing infrastructure with people needs. Harnessing renewable energy from different sources, store and eventually transmit and distributed it is an all-time challenge which nowadays by implementing and proper maintenance we lead to having higher efficiency to the point where ...

Some approaches to achieving full observability and controllability in power systems are explored in this thesis. The core structure of this work consists of observability and controllability, focusing on two key phases of optimization and control. In the first phase, system observability is addressed through optimal placement of Phasor Measurement Units (PMUs). The Connectivity Matrix Algorithm ...

The aging of civil infrastructure presents significant challenges in a global scale, necessitating innovative research techniques for effective solutions. Governments are increasingly compelled to allocate additional time and budgetary resources towards maintenance, repairs, or the construction of new structures to replace deteriorated or damaged ones. This allocation is essential to ensure ...

Two samples from a specimen of a Norway spruce (Picea abies (L.) Karst.) branch was prepared. One opposite wood (OW) sample and one compression wood (CW) sample. Several tests using nuclear magnetic resonance were performed on these specimens to study the motion of moisture through the branch wood. The T2-experiment shows that the fibre saturation point is at 20% moisture content (MC) for OW and 25% ...

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 ...

Master thesis documents tensile test of fused deposit modeling 3D-printed parts. Infill configurations that’s investigated is line- and grid-pattern with 100% infill density for line pattern. Grid pattern have been printed with 20% and 40% infill density. To predict mechanical properties of 3D-printed parts with line pattern, classical laminate theory is chosen as mathematical model. Performing ...

This thesis investigates how machine learning techniques has greater advantages over traditional Statistical Process Control (SPC) methods and Anomaly Detection (AD) in monitoring and controlling process parameters so that the process remains stable and in control to meet required quality satisfactions. The broader term of Predictive Quality Management introduces an important subject of predictive ...

This thesis discusses the process of designing, implementing and testing a creative AI system that generates 3D models for the purpose of video game development. The system utilizes a combination of an interactive genetic algorithm and a distance weighted K-nearest neighbour regressor. Regression is employed as a learning mechanism to enable the system to rate designs based on the overall user ...