Search results for "Formas"
showing 10 items of 979 documents
Hierarchical Fish Species Detection in Real-Time Video Using YOLO
2020
Master's thesis in Information- and communication technology (IKT590) Information gathering of aquatic life is often based on time consuming methods with a foundation in video feeds. It would be beneficial to capture more information in a cost effective manner from video feeds, and video object detection has an opportunity to achieve this. Recent research has shown promising results with the use of YOLO for object detection of fish. As under-water conditions can be difficult and fish species hard to discriminate, we propose the use of a hierarchical structures in both the classification and the dataset to gain valuable information. With the use of hierarchical classification and other techn…
A Generative Adversarial Network approach using Latent Space Manipulation for Clothing Display on Synthetic Images Using the latent space of an non-p…
2020
Master's thesis in Information- and communication technology (IKT590) The Fashion industry is continuously inventing new clothing. A significant bottleneck when introducing newly designed clothing to the market is advertisements. This thesis looks into the possibility of streamlining this bottleneck through the automated manipulation of clothing onto generated humans. A common problem in Generative Adversarial Networks (GAN) is the black-box nature of the generated re-sults. Meaning a user has no direct input on the traits of images produced. GANs are capable of exceptional levels of "creativity" when utilizing its generator to create novel results. For instance, it is possible to project a…
Simulated testing in mobile datacom systems (GPRS/UMTS) : postgraduate thesis information and communication technology
2000
Masteroppgave i informasjons- og kommunikasjonsteknologi 2000 - Høgskolen i Agder, Grimstad The assignment described in this thesis is given by Ericsson AS and gives an evaluation of simulation and testing tools used in their development projects. Since Ericsson wants to change their testing process the task was to evaluate and suggest a solution to how this could be done. In order to make testing available for all developers it was required to run tests independent of hardware. Thus they wanted to simulate the hardware resources. Originally, the intention was to use the test environment used otherwise in Ericsson. This proved to cause many problems because the project became dependent of o…
Design and implementation of wake-up radios for long-range wireless IoT devices
2019
Master's thesis Information- and communication technology IKT591 - University of Agder 2019 As the development within Internet of things IoT increases rapidly andthe market starts to utilize its potential, an enormous effort is being madein both academia and industry to optimize solutions according to the mar-ket demands. The demands vary from case to case. Some applicationsmight require relatively high data rate, long battery lifetime, low latencyand long range/area coverage. The numerous use cases and demands for IoTresulted in various IoT technologies. In many IoT applications, especiallyWireless IoT applications, energy-efficiency and battery lifetime are some ofthe most important perfo…
Learning Automata-Based Object Partitioning with Pre-Specified Cardinalities
2020
Master's thesis in Information- and communication technology (IKT591) The Object Migrating Automata (OMA) has been used as a powerful AI-based tool to resolve real-life partitioning problems. Apart from its original version, variants and enhancements that invoke the pursuit concept of Learning Automata, and the phenomena of transitivity, have more recently been used to improve its power. The single major handicap that it possesses is the fact that the number of the objects in each partition must be equal. This thesis deals with the task of relaxing this constraint. Thus, in this thesis, we will consider the problem of designing OMA-based schemes when the number of the objects can be unequal…
A Scalable Architecture for Parallel Execution of the Tsetlin Machine
2019
Master's thesis Information- and communication technology IKT591 - University of Agder 2019 With the Tsetlin Machine recently released, much research has been done on itscapabilities, with great success. However, the lack of tools available, and generalknowledge of the Tsetlin Machine prevents it from being adopted by the indus-try. As a result, it is today mostly used in academic environments. To increasethe general availability of the algorithm, this thesis introduces an introductorydescription to the algorithm and proposes an architecture that allows the use ofmultiple CPU threads and multiple GPUs to execute the algorithm in parallel. Inaddition, this thesis investigates several key asp…
Classification of Diabetes and Cardiac Arrhythmia using Deep Learning
2018
Master's thesis Information- and communication technology IKT591 - University of Agder 2018 Deep Learning (DL) is a research area that has ourished signi cantly in the recent years and has shown remarkable potential for arti cial intelligence in the eld of medical applications. The reasons for success are the ability of DL algorithms to model high-level abstractions in the data by using automatic feature extraction property as well as signi cant amount of medical data that is available for training these algorithms. DL algorithms can learn features from a large volume of healthcare data, and then use the procured insights to assist clinical practice. We have implement DL algorithm for the c…
3D Convolution Neural Networks for Medical Imaging; Classification and Segmentation : A Doctor’s Third Eye
2020
Master's thesis in Information- and communication technology (IKT591) In this thesis, we studied and developed 3D classification and segmentation models for medical imaging. The classification is done for Alzheimer’s Disease and segmentation is for brain tumor sub-regions. For the medical imaging classification task we worked towards developing a novel deep architecture which can accomplish the complex task of classifying Alzheimer’s Disease volumetrically from the MRI scans without the need of any transfer learning. The experiments were performed for both binary classification of Alzheimer’s Disease (AD) from Normal Cognitive (NC), as well as multi class classification between the three st…
Serious Games in Higher Education -The Design Process of a Lean Serious Game
2020
Master's thesis in Industrial economics and technology management (IND590)
En Industri 4.0 Modenhetsmodell for Små og Mellomstore Bedrifter
2020
Master's thesis in Industrial economics and technology management (IND590)