Search results for "500"
showing 10 items of 3244 documents
Estimation of temperature development in secondary substation transformers
2021
Master's thesis in Information- and communication technology (IKT590) The temperature in a transformer element has a great impact on the aging process fora transformer. After a pilot project that aimed to make their power grid smarter, Agder Energi had temperature-data from sensors placed on some of their transformers. The purpose of this thesis was to establish a method for estimating transformer temperature based on available information such as load, capacity, and external weather conditions. To succeed, we had to deal with limited data, that is, few relevant samples combined with high levels of noise. To address the challenges of the estimation problem and the limitations of the data, w…
The Maritime Pickup and Delivery Problem with Cost and Time Window Constraints : System Modeling and A* Based Solution
2019
Master's thesis Information- and communication technology IKT590 - University of Agder 2019 In the ship chartering business, more and more shipment ordersare based on pickup and delivery in an on-demand manner ratherthan conventional scheduled routines. In this situation, it is nec-essary to estimate and compare the cost of shipments in order todetermine the cheapest one for a certain order. For now, these cal-culations are based on static, empirical estimates and simplifications,and do not reflect the complexity of the real world. In this thesis,we study the Maritime Pickup and Delivery Problem with Cost andTime Window Constraints. We first formulate the problem mathe-matically, which is c…
Enabling Edge Computing In 5G Via Local Area Data Network : Implementation and Experiments
2019
Master's thesis Information- and communication technology IKT590 - University of Agder 2019 The benefits of cloud computing are eclipsing when compared to other technologies, but the applications of cloud computing are very much cloud computing also has limitations due to its centralized architecture. The centralized cloud computing architecture gives rise to unnecessary delays which result in poor user experience. To avoid this, a decentralized cloud computing concept was introduced. In this concept computing and storage part of the cloud was to be moved as close to the user equipment as possible. By doing so the overall delays can reduce significantly which will enhance user experience. T…
An Environment Adaptive Approach for Indoor Localization Using the Tsetlin Machine
2021
Master's thesis in Information- and communication technology (IKT590) Indoor positioning is a challenging task due to the small scale of area and the complex electromagnetic environment. Among different distance measurement schemes, Received Signal Strength Indication (RSSI) readings are commonly used in proximity and localization applications such as in BLE and Wi-Fi, because of the low power consumption and simplicity of retrieving this information. There are several approaches for RSSI based indoor localization, among which the deep-learning based models trained with fin-gerprinting data can achieve far superior localization accuracy compared with orthodox approaches, such as trilaterati…
Design and Implementation of Self-Powered Long Range IoT Device Based on LoRaWAN
2020
Master's thesis in Information- and communication technology (IKT590) This project proposes a self-powered long-range wireless sensor node based on Long Range Wide Area Network (LoRaWAN) with various sensing capabilities. The nodes have been designed in such a way that these are self-sustainable throughout the components’ lifespan. These are completely powered by ambient solar energy harvesting. Also, these nodes can be deployed on a large scale and are maintenance-free. In addition, these nodes can be deployed in remote places where the accessibility is limited, and maintenance is difficult. The wireless sensor nodes can be deployed both in indoor and outdoor environments with sufficient l…
Deep Hybrid Neural Networks on Multi-temporal Satellite Data: Predicting Farm-scale Crop Yields
2021
Master's thesis in Information- and communication technology (IKT590) Accurate farm-scale crop yield predictions can enable farmers to improve their yield per decare and inform subsequent sectors of the availability of grains sooner. Existing research on yield predictions is limited to regional analytics, which often fails to capture local yield variations influenced by farm management decisions and field conditions. Farm-scale crop yield predictions require precise ground-truth prediction targets, which are not always available. It takes substantial manual labor to create large and suitable datasets of high-resolution per-farm samples. This thesis introduces a hybrid multi-temporal deep ne…
Machine Learning Techniques to Predict Pandemic from Social Media
2018
Master's thesis Information- and communication technology IKT590 - University of Agder 2018 In recent years, there has been a particular focus on improving public health through the means of prediction and preparedness of pandemic diseases. Early detection, prediction, and analysis of disease outbreaks allow the authority agencies to mitigate the side effects of Pandemic and immune the people. Nowadays, social media such as Twitter or Facebook play a vital role in the crisis situation. By means of social media, people from all over the world can be aware of the recent pandemic outbreaks. In fact, the mainstream adoption of social media in people daily life has caused a paradigm shift in how…
Deep Reinforcement Learning using Capsules in Advanced Game Environments
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for arti cial intelligence based opponents in computer games. This success is primarily due to vast capabilities of Convolutional Neural Networks (ConvNet), enabling algorithms to extract useful information from noisy environments. Capsule Network (CapsNet) is a recent introduction to the Deep Learning algorithm group and has only barely begun to be explored. The network is an architecture for image classi cation, with superior performance for classi cation of the MNIST da…
A Generative Adversarial Approach for Packet Manipulation Detection
2018
Master's thesis Information- and communication technology IKT590 - University of Agder 2018 Over the years, machine learning has been used together with intrusion detection systems to protect networks against different threats. The evolution of machine learning has exploded and there are new types of of machine learning algorithms being studied on different fields. Networks security is not one these fields that have the most research, and with the continuous change in the way attacks are appearing, machine learning in network security is more alluring than ever. The intention of this thesis is to present a solution that shows that using machine learning in intrusion detection domain is a wa…
Prediction of Electricity Usage Using Convolutional Neural Networks
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Convolutional Neural Networks are overwhelmingly accurate when attempting to predict numbers using the famous MNIST-dataset. In this paper, we are attempting to transcend these results for time- series forecasting, and compare them with several regression mod- els. The Convolutional Neural Network model predicted the same value through the entire time lapse in contrast with the other models, while the Multi-Layer Perception through Machine Learning model performed overall best. Temperature variables are directly related to power consumption, but the weights from the power consumption values from 1, 2…