In this Thesis, a small, low-cost, portable and easily deployable ground station was built, to track and receive signals from National Oceanic and Atmospheric Administration (NOAA) weather satellites (series 15, 18 and 19) in VHF and UHF bands, process and convert these to images are presented. A ground station, capable of receiving reasonably good quality images from NOAA weather satellites was ...

We propose controllers for leader-follower attitude synchronization of spacecraft formations in the presence of disturbances, that is, the leader spacecraft is controlled to follow a given reference, while a follower spacecraft is controlled to synchronize its motion with the leader’s. In the ideal disturbance-free scenario, we show that synchronization takes place asymptotically. Moreover, we ...

This study analyses the observations of a new type of small-scale aurora-like feature, which is further referred to as fragmented aurora-like emission(s) (FAEs). An all-sky camera captured these FAEs on three separate occasions in 2015 and 2017 at the Kjell Henriksen Observatory near the arctic town of Longyearbyen, Svalbard, Norway. A total of 305 FAE candidates were identified. They seem to appear ...

Connection of nonlinear utility load har increased through resent years and is expected to continue increasing. Nonlinear utility load injects harmonic content into the grid and reduces voltage quality for nearby consumers. To limit harmonic content from nonlinear load, the International Electrotechnical Commission requires power supplies to be designed according to IEC 61000-3-2. Fulfilling this ...

In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, ...

This thesis presents a brief introduction to epilepsy diagnosis use convolution neutral network. The datasets create through Electroencephao-graph(EEG) signal.Electroencephao-graph(EEG) is one of the most commonly signals recorded from humans like electrocardiogram(ECG). In this thesis give a short introduce about the EEG signal. Because EEG recordings are important in the diagnosis of epilepsy. But ...

The increasing integration of distributed energy resources such as photovoltaic (PV) systems into distribution networks introduces intermittent and variable power, leading to high voltage fluctuations. High PV integration can also result in increased terminal voltage of the network during periods of high PV generation and low load consumption. These problems can be solved by optimal utilization ...

Rapid growth in urbanization and industrialization leads to an increase in air pollution and poor air quality. Because of its adverse effects on the natural environment and human health, it’s been declared a “silent public health emergency”. To deal with this global challenge, accurate prediction of air pollution is important for stakeholders to take required actions. In recent years, deep learning-based ...

"Energy consumption in European countries is increasing in significant amount each year. EU countries are becoming more concerned towards environmental safeguarding along with energy production. Wind and solar power have increased their market in many power systems in the recent decades and the main limitation is that they are greatly time dependent and are not available all the time to cope with ...

In the significant widespread transition towards clean energies, there has been an unstoppable trend in integrating renewable energy sources (RSs) in distribution networks. However, the massive penetration of integrated multisources into conventional distribution systems may create several operational problems, such as malfunctioning protection systems. This paper concisely defines the setting for ...