Search results for "SJ"
showing 10 items of 2539 documents
Prosessforbedring og teknologistøtte for semistrukturerte prosesser
2001
Masteroppgave i informasjons- og kommunikasjonsteknologi 2001 - Høgskolen i Agder, Grimstad Rapporten omhandler utvikling av et adaptiv Workflow Management System (WfMS). Systemet skal brukes i forbedring av en faktureringsprosess for konsulenter. I den forbindelse behandles sentrale teorier innen prosessforbedring og adaptiv arbeidsflyt. Nåværende faktureringsprosess har rom for effektivisering, automatisering og kvalitetsforbedring. Prosessen er manuell, sekvensiell og lite strukturert. Strategi som foreslås benyttet i utviklingen er Total Quality Management (TQM), Computer Supported Cooperative Work (CSCW) og Concurrent Engineering (CE). Det er utviklet en prototyp som er verktøyet for å…
Classification with Multiple Classes using Naïve Bayes and Text Generation with a Small Data Set using a Recurrent Neural Network
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017 In this thesis, text classification and text generation are explored using only a small data set and many classes. This thesis experiments with text classification, and show how it is able to find the most similar output compared to the input even with thousands of classes. Furthermore, text generation is explored on a small data set to create a unique output. By using Na¨ıve Bayes text classifier combined with a Recurrent Neural Network language-model, it is possible to use new deviations as input before an original suggestion for a measure is generated as the output
Spectrum Cartography using Adaptive Multi-kernels – Experimental validation
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017
Predicting Electrical Power Consumption on Yearly Events for Substations: Algorithm Design and Performance Evaluations
2020
Master's thesis in Information- and communication technology (IKT590) Accurate prediction of electricity usage is critical for grid companies in or-der to ensure reliable power supply for their customers. Many factors in-fluence usage patterns, but generally they consist of yearly-, weekly- and daily trends in addition to stochastic noise due to random user behaviour. Besides the above-mentioned cyclic trends, certain yearly events, i.e. events that take place once per year, can affect usage patterns significantly and thus may cause abnormally high or -low power consumption. Therefore, it is in the interest of grid companies to predict the consumption on such events so they can take measure…
TsetlinGo : Solving the game of Go with Tsetlin Machine
2020
Master's thesis in Information- and communication technology (IKT590) The Tsetlin Machine have already shown great promise on pattern recognition and text categorization. The board game GO is a highly complex game, and the Tsetlin Machine have not yet been tested extensively on strategic games like this. This thesis introduces TsetlinGO and aims to Solve the game of Go with Tsetlin Machine. For predicting the next moves a combination of Tsetlin Machine and Tree Search was used. In the thesis a 9x9 board size was used for the game of Go, to prevent the problem from becoming to complex. This thesis goes through hyper-parameter testing for classification of the Go board game. A solution with T…
Playing endgame chess with the Tsetlin Machine
2020
Master's thesis in Information- and communication technology (IKT590) The report is about training an Artificial Intelligence(AI) that is able to play out endgames, using the existing solved endgame of chess to train the Tsetlin Machine on. This report describes the methods used to train and test a Tsetlin Ma-chine using both the convolutional and multiclass implementation. We have further tested out different methods to handle the data it trains on to investigate what methods work best. Where these methods are; to split the data for two machines for either white or black starting player, transforming the data to only be from one starting players perspective and one splitting based on resul…
Lost in Draft: Investigating Game Balance in Multiplayer Online Battle Arena Drafting
2021
Master´s thesis in Information and Communication Technology (IKT590) University of Agder, Grimstad This thesis explores modern machine learning solutions to turn-basedstrategy games. In particular, we explore the possibilities of equalizing the playing field for both teams in the draft phase of Defense of the Ancients 2 (Dota 2) and League of Legends (LoL), with both games being giants in the multi-million dollar esports industry. The thesis covers the Multiplayer Online Battle Arena video game genre and the draft phase the games use. We also discuss the tech-nology used to address the problem, as well as the basic concepts of modern machine learning that allowed this technology to arise. W…
Background noise classification and denoising of audio signals utilizing empirical wavelet transform and deep learning
2021
Master´s thesis in Information and Communication Technology (IKT590), University of Agder, Grimstad The importance of sound and speech cannot in human life cannot be overstated. Ambient sound informs us about our surroundings and warn us of potential dangers, such as a car approaching from behind. One of the most common modes of communication is speech. However, if it is contaminated with background noise, it may result in data loss. Recent advances in artificial intelligence enable machines to recognize and classify sound patterns, as well as remove complex background noise from contaminated speech. This thesis investigates a method for improving existing background noise classification an…
Playing the game of Hex with theTsetlin Machine and tree search
2020
Master's thesis in Information- and communication technology (IKT590) Hex is an abstract mathematical board game where the players aim to build a connection of pieces, traversing the board from edge to edge. The game requires the use of certain patterns to be played at a high level. Artificially Intelligent Hex players have had success using Monte Carlo tree search and current research efforts have introduced neural networks. This thesis looks into the recent Tsetlin Machine pattern-recognition technique, relying on interpretability, in combination with the Monte Carlo tree search method to play the game of Hex. A supervised learning approach has been employed in an effort to teach the Tset…
The Application of the Tsetlin Machine in Checkers
2020
Master's thesis in Information- and communication technology (IKT590) The Tsetlin Machine has shown promising results in the domain of board games such as Axis& Allies, showing that the Tsetlin Machine may be a contender to more well-known machine learning algorithms. This research aimed to find out how suitable the Tsetlin Machine is for the domain of Checkers, and how to best utilize it for the purpose of playing Checkers. In order to research this, the following questions had to be answered: Which Tsetlin Machine Configuration is best suited for predicting the results of Checkers games? To what degree can the Tsetlin Ma-chine predict the results of Checkers games? How well can a Checkers…