Konya Mühendislik Bilimleri Dergisi

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/2243

Browse

Browsing Konya Mühendislik Bilimleri Dergisi by Subject "2D and 3D"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Detailed Channel/Lob Analysis of a 2d and 3d Hybrid Video Using Eeg Signal
    (Konya Technical University, 2021) Manshouri, Negin; Melek, Mesut; Kayikçioğlu, Temel
    It is important to evaluate sudden transition and steady-states in video analysis consisting of 2 dimensional (2D) and 3D tracks, regarding the human eye structure. In this study, the power spectrum density (PSD) of the human brain signals was taken into consideration for analysis as a result of a 2D and 3D hybrid video watching. We claimed in our previous studies that people lose their depth perception when they get tired. In this study, a single stream anaglyph video consisting of random 2D and 3D tracks is provided. In 2D and 3D hybrid video study, PSD based on short-time Fourier transform (STFT) and visual representation called spectrogram were used in brain signal analysis. After all EEG frequency bands have been tested, the delta band has been chosen as the dominant band, taking into account the difference of PSD in the comparison of 2D and 3D parts in the spectrogram chart. Extracted features from this band were classified by two popular classifiers. These are support vector machine (SVM) and Linear discriminant analysis (LDA) algorithms. Consequently, the frontal and temporal lobes show better results in the classification of 2D and 3D transitions than other lobes. As a result of statistical functions and Hjorth parameters used as feature extraction methods, classification success for SVM and LDA algorithms was computed as 68 % and 79 %, respectively.
  • Thumbnail Image
    Article
    Dijkstra Algorithm Using Uav Path Planning
    (Konya Technical University, 2020) Dhulkefl, Elaf; Durdu, Akif; Terzioğlu, Hakan
    The use of unmanned aerial vehicles (UAV) is increasing today. UAVs can be divided into two parts, which are remote controlled and can travel automatically due to a certain battery problem. Recent research has also focused on the development and application of new algorithms to autonomously control these vehicles and determine the shortest flight paths. Together with these researches, UAVs are used in many civil activities such as weather forecasts, environmental studies and traffic control. Three-dimensional (3D) path planning is an important issue for autonomously moving UAVs. The shortest path for Unmanned Aerial Vehicles (UAV) is determined by using two-dimensional (2D) path planning algorithms using the obstacles in the environment, and allows UAVs to perform their environmental tasks as soon as possible. The purpose of this study is to determine the shortest path to the target point and avoiding obstacles for UAVs using the Dijkstra algorithm. It was developed to evaluate the arrival time of the UAVs in the path planning algorithm with the simulation performed in the MATLAB program. In this study, the obstacles were defined for the purpose of the building with different heights and different widths and 2D and 3D models were carried out, assuming that the UAV flies at certain heights. In addition, the flight of the UAVs in the route planning determined in the real applications was carried out and the data such as battery consumption, amount of battery spent, speed, amount of travel were examined.