Search results for "VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550"

Preamble Transmission Prediction for mMTC Bursty Traffic : A Machine Learning based Approach

2020

The evolution of Internet of things (IoT) towards massive IoT in recent years has stimulated a surge of traffic volume among which a huge amount of traffic is generated in the form of massive machine type communications. Consequently, existing network infrastructure is facing challenges when handling rapidly growing traffic load, especially under bursty traffic conditions which may more often lead to congestion. By proactively predicting the occurrence of congestion, we can implement necessary means and conceivably avoid congestion. In this paper, we propose a machine learning (ML) based model for predicting successful preamble transmissions at a base station and subsequently forecasting th…

Fall Detection Based on the Instantaneous Doppler Frequency : A Machine Learning Approach

2019

Modern societies are facing an ageing problem which comes with increased cost of healthcare. A major share of this ever-increasing cost is due to fall related injuries, which urges the development of fall detection systems. In this context, this paper paves the way for building of a radio-frequency-based fall detection system. This paper presents an activity simulator that generates the complex channel gain of indoor channels in the presence of one person performing three different activities, namely, slow fall, fast fall, and walking. We built a machine learning framework for activity recognition based on the complex channel gain. We assess the recognition accuracy of three different class…

Increasing sample efficiency in deep reinforcement learning using generative environment modelling

2020

Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation

2017

Source at https://doi.org/10.1109/JSTARS.2016.2641583. Gaussian process regression (GPR) has experienced tremendous success in biophysical parameter retrieval in the past years. The GPR provides a full posterior predictive distribution so one can derive mean and variance predictive estimates, i.e., point-wise predictions and associated confidence intervals. GPR typically uses translation invariant covariances that make the prediction function very flexible and nonlinear. This, however, makes the relative relevance of the input features hardly accessible, unlike in linear prediction models. In this paper, we introduce the sensitivity analysis of the GPR predictive mean and variance functions…

A Self-Contained Electro-Hydraulic Cylinder: Modeling, Control Design, Simulation and Experimental Validation

2018

Master's thesis Mechatronics MAS500 - University of Agder 2018 In the constant effort to improve the efficiency of hydraulic systems, the pressure drop over hydraulic valves has been one of the major obstacles. In the Self-Contained Electro-Hydraulic Cylinder, the directional valve and the hydraulic power unit have been replaced by a bi-directional axial piston pump and a Permanent Magnet Synchronous Motor. Actuation of the cylinder is performed by controlling the direction of rotation and the velocity of the motor. Originally the purpose of this project was to: "Design a proper control algorithm for an existing novel selfcontained electro-hydraulic cylinder, implement it on the main boom o…

Digitalization of the Accounting Industry : The influence of digitalization on the accountants’ role and their self-understanding. An exploratory stu…

2019

Master's thesis Business Administration BE501 - University of Agder 2019 The purpose of this master thesis is to examine the accountants’ perception of their roles and how digitalization influences them. This is an exploratory study of Norwegian accountants, where we have collected primary data from 13 accounting firms using semi-structured interviews. Our findings indicate there is a limited understanding of digitalization among the respondents, and most of the firms are in the early stage of digitalization meaning that they experience with how to make use of the new technical possibilities coming along with digitalization. There is a need for better technical skills that are essential to …

Use of BIM Technology and 3D-Modeling to Automate the Paperless Reinforcement Production

2018

Master's Thesis Civil and Constructional Engineering BYG508 - University of Agder 2018 Although, Building Information Modeling has flourishing development for reinforced concrete, still there is a long way to achieve efficient performance throughout reinforcement supply chain. Statsbygg through the use of 3D reinforcement of digital construction project (Gol Traffic Station), desires to achieve a full paperless drawings and documentation project. There is also a strong ambition to standardizes those codes that are not mentioned in the official bending lists. This project has two-part and, follows these objectives: 1. Automate the production of reinforcement, production by direct export from…

Inkludere CO2-regnskap i 3D-modellen for veibyggingsprosjekter

2018

Masteroppgave bygg BYG508 - Universitetet i Agder 2018 For decades, Norwegian roads were constructed and planed by use of printout drawings. Today, as projects increase in scope and complexity, road construction has become a highly collaborative effort, with multiple disciplines working together to fulfil strict regulation requirements. It is due to this development that usage of digital tools in road and infrastructure engineering is more common. This master thesis takes a closer look at today’s possibilities in digital road construction design and on potential of expanding the usability by applying modern software development. Mainly, two separate cases have been investigated, a country r…

Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels

2020

Underlay device-to-device (D2D) communications lead to improvement in spectral efficiency by simultaneously allowing direct communication between the users and the existing cellular transmission. However, most works in resource allocation for D2D communication have considered single antenna transmission and with a focus on perfect channel state information (CSI). This work formulates a robust transmit beamforming design problem for maximizing the aggregate rate of all D2D pairs and cellular users (CUs). Assuming complex Gaussian distributed CSI error, our formulation guarantees probabilistically a signal to interference plus noise ratio (SINR) above a specified threshold. In addition, we al…

On the use of Denoising Autoencoders and Deep Convolutional Adversarial Networks for Automated Removal of Date Stamps

2019

Master's thesis Information- and communication technology IKT590 - University of Agder 2019 This thesis investigates to what extent the deep learning models such as DenoisingAutoencoder (DAE) and Deep Convolution General Adversarial Net (DCGAN)automate the removal of the date stamps from images with high resolution whilepreserving the rest of the images. Both DAE and DCGAN algorithms are im-plemented with Convolutional Neural Networks (CNN). The DAE algorithm canperform this task with entirely satisfactory results. The DAE can reconstruct theoriginal images from corrupted inputs with date stamps. While DCGAN deliverspoor yet interesting results. The images generated by the DCGAN are quite d…