Falls of elderly people are big health burden, especially for long-term consequence. Yet we already have research, describing how exactly elderly fall and reasons of falls. We aimed to develop means that could not only detect falls and send alerts to relatives and doctors to conquer one of the biggest fears of elderly to fall and do not have the ability to call for help, but also tried to implement ...

This document describes study of distributed management of resources in the context of Smart City with support of multi-agent systems. The investigated points include theoretical concepts of Smart City and application of multi-agent systems, decentralized and centralized designs for agent-based solutions and aspects of interactions between different self-interested agents. The document explores ...

Adverse effects of fossil fuel burning internal combustion engine vehicles has alarmed nations worldwide. With recent technological advancements in electric vehicle industry, governments throughout the world are promoting wider adoption of electric vehicles to mitigate environmental issues. However, increasing popularity of electric vehicles will pose a great threat to existing electric grids due ...

This thesis project was commissioned by Cegal and aimed to investigate the potential for demand-side flexibility in the Helgeland region, as well as evaluate forecasting methods for a demand-response system. The future energy situation in the area was analyzed, while the experimental part investigated forecasting methods which can be applied in a demand-response system. Finally, the project i ...

This document describes a simulation of the local energy market with support of multi-agent approach and blockchain technology. The investigated points include blockchain technology and its applications, Ethereum platform and smart contracts as a tool for storing data of operations and creating assets, multi-agent approach to model the local energy market. The document explores building a solution ...

This report presents the design and simulation of code and carrier tracking system for a GNSS receiver. The GNSS receiver processes the signal sent by satellites in space. These signal contain carrier wave signal, ranging code and navigation data in encrypted form. To demodulate the navigation data, the processing block should accurately track the phase of incoming code and the frequency of incoming ...

This master thesis reports on the research of simulating hill ascensions on winter roads. By utilizing Python and Excel a simple prototype simulation was created. This simulation shows the velocity changes during the ascension, with different variables such as: initial velocity, gear, weight distribution, environment etc. The variables used are mostly based on real life measurements, with a ...

In this thesis, the ability of CharRNN models learning to compose guitar music using varying representations of guitar tablature is explored. I utilize a well-versed sequential model of LSTM cells, and investigate the ability of said model to input, and predict both character to character, and sequence to sequence, following the principles of natural language processing and music information ...

This thesis will explore interaction between non-supervised machinelearning agents, with a focus on traffic situations. We intend to showthat self-interested agents can arrive at mutually beneficial strategiesaccording to general game theory, achieving pure or mixed Nash equi-libria, and that this has practical applications for unmanned vehicles.We will start by verifying against simple one stage ...

In this thesis, we establish the theoretical foundation for determining the minimum requirements for charging infrastructures in networks where electric ferries operate on a fixed schedule. The problem - named the Multiple-Trip Electric Charging Station Placement (MT-ECSP) - is formulated as a 0-1 Integer Program, and is subsequently proven to be NP-hard. We construct several instances of the ...