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Tytuł:
Application of dot product for Track-Before-Detect tracking of noise objects
Autorzy:
Mazurek, P.
Powiązania:
https://bibliotekanauki.pl/articles/378341.pdf
Data publikacji:
2013
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
Track-Before-Detect
TBD
noise object
dot product
tracking algorithm
Opis:
The Track-Before-Detect (TBD) algorithms are applied for the tracking of signals below the noise floor. The noise object is the signal that has noise samples only. The processing of such signal using Spatio-Temporal TBD is not possible directly. The proposed preprocessing technique allows analysis of the signal using moving window approach and dot product calculations. Two vectors, related to the distributions, are compared: the overall signal and the local, related to the window position. The Monte Carlo tests are applied for the analysis of performance.
Źródło:
Poznan University of Technology Academic Journals. Electrical Engineering; 2013, 76; 101-107
1897-0737
Pojawia się w:
Poznan University of Technology Academic Journals. Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytmy śledzenia punktu mocy maksymalnej (MPPT) w systemach fotowoltaicznych
Algorithms of maximum power point tracking (MPPT) in photovoltaic systems
Autorzy:
Zaremba, A.
Rodziewicz, T.
Wacławek, M.
Powiązania:
https://bibliotekanauki.pl/articles/126793.pdf
Data publikacji:
2012
Wydawca:
Towarzystwo Chemii i Inżynierii Ekologicznej
Tematy:
metody śledzenia
punkt mocy maksymalnej
systemy fotowoltaiczne
tracking algorithm
maximal power point
photovoltaic systems
Opis:
Przedstawiono przegląd podstawowych metod śledzenia punktu mocy maksymalnej w systemach fotowoltaicznych, tj.: metody pośrednie oraz bezpośrednie. Zagadnienie to jest bardzo ważne w nowoczesnych systemach fotowoltaicznych, ponieważ pozwala ono na zoptymalizowanie uzysku energii przy danych parametrach wejściowych (napromieniowanie, warunki pogodowe, temperatura itp.). Pokazano sposób działania poszczególnych algorytmów, a dla wybranych podano wzory opisujące ich działanie. Przeanalizowano słabe i silne strony wybranych metod oraz możliwości ich zastosowania w nowoczesnych systemach fotowoltaicznych.
Paper shows an overview of the basic algorithms of maximum power point tracking (MPPT) in the photovoltaic systems, ie the direct and indirect methods. This issue is very important in modern photovoltaic systems because it allows to optimize the energy yield for given input parameters (irradiation, weather conditions, temperature, etc.). Paper shows how the different algorithms work, and for selected models gives equations describing their results. Also examines the strengths and weaknesses of selected methods and their applicability in modern photovoltaic systems.
Źródło:
Proceedings of ECOpole; 2012, 6, 2; 805-810
1898-617X
2084-4557
Pojawia się w:
Proceedings of ECOpole
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementacja algorytmu śledzenia przy użyciu kamery oraz mobilnego robota edukacyjnego
Implementation of tracking algorithm using cameras and mobile educational robot
Autorzy:
Dimitrova-Grekow, T.
Rogowski, M.
Powiązania:
https://bibliotekanauki.pl/articles/972137.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
detekcja i śledzenie obiektów
roboty edukacyjne
filtr Kalmana
tracking algorithm
Kalman filter
object detection
educational robot
Opis:
Artykuł prezentuje algorytm śledzenia z wykorzystaniem filtru Kalmana. Do realizacji celu został wykorzystany smartfon z systemem Android i wbudowaną kamerą oraz robot z serii LEGO Mindstorms NXT. W ramach pracy został zaprojektowany i stworzony działający system śledzący obiekt. Zastosowanie filtru Kalmana w dużym stopniu poprawiło skuteczność śledzenia. Przedstawione zostały testy wraz z interpretacją ich wyników. Pokazują one skuteczność zaimplementowanych rozwiązań. Opisany został także wpływ różnych parametrów na efektywność śledzenia.
Information obtained through analysis of video sequences can have many uses, for instance in different video-game controllers or intelligent mobile safety systems [1]. Thanks to the miniaturization of integrated circuits, it is possible to use these solutions in intelligent mobile vehicles [2]. In order to keep track of an object, first there has to be found its existence and location. Many methods of detection and tracking are based on the specific object characteristic [3,4]. The observation of the object contour is also very popular[5,6]. In every case, however, the disadvantages are downside costs and possibility of losing an object by sudden changes of the selected feature. This work presents the implementation of a tracking algorithm with double detection-color and shape. Both parameters were analysed with a large tolerance, which simplified the calculation engine. There was used the Kalman filter [7]. An Android Smartphone with a built-in camera and a robot of LEGO Mindstorms NXT series were applied. The paper contains a description of the structure of the system (Fig.1) and the most important implementation details associated with a specific way of detecting and tracking the object (Fig.2). The experiments carried out show the efficiency of the system (Fig. 2, ). The impact of the various parameters on the efficiency of the trace is described (Tab 1). The tests together with the interpretation of their results are presented.
Źródło:
Pomiary Automatyka Kontrola; 2013, R. 59, nr 8, 8; 818-820
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Geometric characteristics of Iraq’s raster topographic maps used for automatic updating the road network
Autorzy:
Abdallah, R.
Powiązania:
https://bibliotekanauki.pl/articles/100558.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:
maps update
road networks segmentation
topographic raster map
tracking algorithm
scanning algorithm
methods of image binarization
k-means method
mapa
mapa topograficzna
aktualizacja
Opis:
This paper is devoted to the problem of road network extraction from raster image. The task of road network extraction is formulated in common view. The approach to the road map extraction has been proposed which can be applied for topographic map updating and is based on image clustering by k-means method and on application of scanning algorithm for extraction of road network fragments. Road map description is formed as set of linear fragments with knowing parameters. These linear fragments are created by merging of smaller parts. Experimental researches were implemented for maps of 10 Iraq cities. Experimental results show in average the extraction precision of 86% (in comparison with human expert).
Źródło:
Geomatics, Landmanagement and Landscape; 2015, 3; 7-18
2300-1496
Pojawia się w:
Geomatics, Landmanagement and Landscape
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a vision‐based autonomous turret
Autorzy:
Louali, Rabah
Negadi, Djilali
Hamadouche, Rabah
Nemra, Abdelkrim
Powiązania:
https://bibliotekanauki.pl/articles/27314239.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
autonomous turret
stepper motor
DC motor
vision based control
Tracking‐Learning‐Detection algorithm
TLD algorithm
Kalman based visual tracking
Opis:
This article describes the hardware and software de‐ sign of a vision‐based autonomous turret system. A two degree of freedom (2 DOF) turret platform is designed to carry a cannon equipped with an embedded camera and actuated by stepper motors or direct current motors. The turret system includes a central calculator running a visual detection and tracking solution, and a microcon‐ troller, responsible for actuators control. The Tracking‐ Learning‐Detection (TLD) algorithm is implemented for target detection and tracking. Furthermore, a Kalman filter algorithm is implemented to continue the tracking in case of occlusion. The performances of the designed turret, regarding response time, accuracy and the execu‐ tion time of its main tasks, are evaluated. In addition, an experimental scenario was performed for real‐time autonomous detection and tracking of a moving target.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 72--77
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integrated and deep learning–based social surveillance system : a novel approach
Autorzy:
Litoriya, Ratnesh
Ramchandani, Dev
Moyal, Dhruvansh
Bothra, Dhruv
Powiązania:
https://bibliotekanauki.pl/articles/27314204.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
Video Surveillance
object detection
object tracking
YOLO v4 algorithm
OpenCV
Opis:
In industry and research, big data applications are gaining a lot of traction and space. Surveillance videos contribute significantly to big unlabelled data. The aim of visual surveillance is to understand and determine object behavior. It includes static and moving object detection, as well as video tracking to comprehend scene events. Object detection algorithms may be used to identify items in any video scene. Any video surveillance system faces a significant challenge in detecting moving objects and differentiating between objects with same shapes or features. The primary goal of this work is to provide an integrated framework for quick overview of video analysis utilizing deep learning algorithms to detect suspicious activity. In greater applications, the detection method is utilized to determine the region where items are available and the form of objects in each frame. This video analysis also aids in the attainment of security. Security may be characterized in a variety of ways, such as identifying theft or violation of covid protocols. The obtained results are encouraging and superior to existing solutions with 97% accuracy.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 30--39
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition
Autorzy:
Bentata, Khadidja
Mohammedi, Ahmed
Benslimane, Tarak
Powiązania:
https://bibliotekanauki.pl/articles/1845531.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
photovoltaic system
maximum power point tracking
partial shading
cuckoo search algorithm
Opis:
The solar photovoltaic output power fluctuates according to solar irradiation, temperature, and load impedance variations. Due to the operating point fluctuations, extracting maximum power from the PV generator, already having a low power conversion ratio, becomes very complicated. To reach a maximum power operating point, a maximum power point tracking technique (MPPT) should be used. Under partial shading condition, the nonlinear PV output power curve contains multiple maximum power points with only one global maximum power point (GMPP). Consequently, identifying this global maximum power point is a difficult task and one of the biggest challenges of partially shaded PV systems. The conventional MPPT techniques can easily be trapped in a local maximum instead of detecting the global one. The artificial neural network techniques used to track the GMPP have a major drawback of using huge amount of data covering all operating points of PV system, including different uniform and non-uniform irradiance cases, different temperatures and load impedances. The biological intelligence techniques used to track GMPP, such as grey wolf algorithm and cuckoo search algorithm (CSA), have two main drawbacks; to be trapped in a local MPP if they have not been well tuned and the precision-transient tracking time complex paradox. To deal with these drawbacks, a Distributive Cuckoo Search Algorithm (DCSA) is developed, in this paper, as GMPP tracking technique. Simulation results of the system for different partial shading patterns demonstrated the high precision and rapidity, besides the good reliability of the proposed DCSA- GMPPT technique, compared to the conventional CSA-GMPPT.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 495-526
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition
Autorzy:
Bentata, Khadidja
Mohammedi, Ahmed
Benslimane, Tarak
Powiązania:
https://bibliotekanauki.pl/articles/1845518.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
photovoltaic system
maximum power point tracking
partial shading
cuckoo search algorithm
Opis:
The solar photovoltaic output power fluctuates according to solar irradiation, temperature, and load impedance variations. Due to the operating point fluctuations, extracting maximum power from the PV generator, already having a low power conversion ratio, becomes very complicated. To reach a maximum power operating point, a maximum power point tracking technique (MPPT) should be used. Under partial shading condition, the nonlinear PV output power curve contains multiple maximum power points with only one global maximum power point (GMPP). Consequently, identifying this global maximum power point is a difficult task and one of the biggest challenges of partially shaded PV systems. The conventional MPPT techniques can easily be trapped in a local maximum instead of detecting the global one. The artificial neural network techniques used to track the GMPP have a major drawback of using huge amount of data covering all operating points of PV system, including different uniform and non-uniform irradiance cases, different temperatures and load impedances. The biological intelligence techniques used to track GMPP, such as grey wolf algorithm and cuckoo search algorithm (CSA), have two main drawbacks; to be trapped in a local MPP if they have not been well tuned and the precision-transient tracking time complex paradox. To deal with these drawbacks, a Distributive Cuckoo Search Algorithm (DCSA) is developed, in this paper, as GMPP tracking technique. Simulation results of the system for different partial shading patterns demonstrated the high precision and rapidity, besides the good reliability of the proposed DCSA-GMPPT technique, compared to the conventional CSA-GMPPT.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 495-526
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Problem of Detecting Stops While Tracking Moving Objects Under the Stream Processing Regime
Autorzy:
Białoń, Paweł M.
Powiązania:
https://bibliotekanauki.pl/articles/27312949.pdf
Data publikacji:
2023
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
algorithm complexity
GPS monitoring
object tracking
physical activity monitoring
stream processing
Opis:
The tracking of moving objects with the use of GPS/GNSS or other techniques is relied upon in numerous applications, from health monitoring and physical activity support, to social investigations to detection of fraud in transportation. While monitoring movement, a common subtask consists in determining the object’s moving periods, and its immobility periods. In this paper, we isolate the mathematical problem of automatic detection of a stop of tracking objects under the stream processing regime (ideal data processing algorithm regime) in which one is allowed to use only a constant amount of memory, while the stream of GNSS positions of the tracked object increases in size. We propose an approximation scheme of the stop detection problem based on the fuzziness in the approximation of noise level related to the position reported by GNSS. We provide a solving algorithm that determines some upper bounds for the problem’s complexity. We also provide an experimental illustration of the problem at hand.
Źródło:
Journal of Telecommunications and Information Technology; 2023, 4; 123-132
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolutionary computing approaches to optimum design of fuzzy logic controller for a flexible robot system
Autorzy:
Subudhi, B.
Ranasingh, S.
Powiązania:
https://bibliotekanauki.pl/articles/230107.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
flexible manipulator
fuzzy logic
genetic algorithm
bacteria foraging optimization
tip position tracking
Opis:
This paper presents the design of a Fuzzy Logic Controller (FLC) whose parameters are optimized by using Genetic Algorithm (GA) and Bacteria Foraging Optimization (BFO) for tip position control of a single link flexible manipulator. The proposed FLC is designed by minimizing the fitness function, which is defined as a function of tip position error, through GA and BFO optimization algorithms achieving perfect tip position tracking of the single link flexible manipulator. Then the tip position responses obtained by using both the above controllers are compared to suggest the best controller for the tip position tracking.
Źródło:
Archives of Control Sciences; 2013, 23, 4; 395-412
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Time optimal path planning for trajectory tracking of wheeled mobile robots
Autorzy:
Vivekananthan, R.
Karunamoorthy, L.
Powiązania:
https://bibliotekanauki.pl/articles/384765.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
wheeled robot
time optimal
trajectory tracking
motion control
fuzzy logic algorithm
Matlab environment
Opis:
Avariety of approaches for trajectory tracking control of wheeled mobile robots have been implemented. This paper presents a model for a time optimal motion control based on fuzzy logic algorithm for a three wheeled nonholonomic mobile robot with desired function. Simplified kinematic equations of a differentially driven robot are designed to follow the path with evaluated linear and angular velocities. Here, the proposed kinematic model is based on a simple geometric approach for getting the desired position and orientation. The speeds are varied depending on the variations in the path and on the posture of the robot. The robot is subjected to move in a constrained workspace. The control architecture was developed based on fuzzy logic algorithm to obtain time optimal motion control of robot trajectory tracking. The kinematic model was done on Matlab software environment and profound impact on the ability of the nonholonomic mobile robot to track the path was evaluated.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 2; 35-41
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Moving object detection in car traffic with implementation of optical sensors
Autorzy:
Szablata, Piotr
Łąkowski, Paweł
Pochmara, Janusz
Powiązania:
https://bibliotekanauki.pl/articles/1841238.pdf
Data publikacji:
2020
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
infrared sensors
linearization algorithm
collision detection
blind data algorithm
tracking objects
Intel R200
czujniki podczerwieni
algorytm linearyzacji
wykrywanie kolizji
algorytmy ślepe
śledzenie obiektów
Opis:
In this investigation, the problem of moving object detection - without any knowledge - is classified. It describes a technique that will allow real-time localization with usage of IR sensors. The proposed algorithm is simplistic, and in the future, it might be implemented into any vehicle, premium or entry level. It is guided by AI that must calculate its next moves in the blink of an eye without user noticing any delays. The main problem of moving object recognition was extraction of proper features, description of the events, and choice of only the crucial ones. The presented novel approach does not follow any standard algorithms. It is a practical hardware implementation of custom solution, based on processing system, which can be well situated in the safety modules of future cars.
Źródło:
Transport Problems; 2020, 15, 4, cz. 1; 105-116
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The application of LabVIEW software for the control of a model of a tracking photovoltaic system
Zastosowanie oprogramowania LabVIEW do sterowania modelem nadaznego systemu fotowoltaicznego
Autorzy:
Sarniak, M.
Powiązania:
https://bibliotekanauki.pl/articles/793479.pdf
Data publikacji:
2012
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
photovoltaic conversion
tracking system
photovoltaic cell
photovoltaic panel
LabView environment
LabJack U12 control card
control card
algorithm
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2012, 12, 1
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A performance analysis of a hybrid golden section search methodology and a nature-inspired algorithm for MPPT in a solar PV system
Autorzy:
Mostafa, Hazem H.
Ibrahim, Amr M.
Anis, Wagdi R.
Powiązania:
https://bibliotekanauki.pl/articles/141645.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
hybrid optimization
golden sections search
multi-verse optimization algorithm
maximum power point tracking
perturb and observe
photovoltaic (PV)
Opis:
This research presents a comparative study for maximum power point tracking (MPPT) methodologies for a photovoltaic (PV) system. A novel hybrid algorithm golden section search assisted perturb and observe (GSS-PO) is proposed to solve the problems of the conventional PO (CPO). The aim of this new methodology is to boost the efficiency of the CPO. The new algorithm has a very low convergence time and a very high efficiency. GSS-PO is compared with the intelligent nature-inspired multi-verse optimization (MVO) algorithm by a simulation validation. The simulation study reveals that the novel GSS- PO outperforms MVO under uniform irradiance conditions and under a sudden change in irradiance.
Źródło:
Archives of Electrical Engineering; 2019, 68, 3; 611-627
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Synthesis of a tracking control system over the flotation process based on LQR-algorithm
Synteza nadążnego systemu sterowania procesem flotacji w oparciu o algorytm LQR
Autorzy:
Koshimbaey, Shamil
Lukmanova, Zhanar
Smolarz, Andrzej
Auyelbek, Shynggyskhan
Powiązania:
https://bibliotekanauki.pl/articles/407823.pdf
Data publikacji:
2019
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
flotation process
optimal regulator
synthesis of the tracking system
LQR algorithm
Matlab
proces flotacji
regulator optymalny
synteza systemu nadążnego
algorytm LQR
Opis:
The studies are devoted to the synthesis of the tracking control system of the flotation process based on the LQR-algorithm. The algorithm of finding the parameters of the optimal regulator is given. The results of modelling of the system with the regulator are obtained, and also the comparative analysis of the results of modelling of the system with and without the regulator is shown, which is performed with the help of Matlab software package and the Simulink toolkit.
Badania poświęcone są syntezie nadążnego systemu sterowania procesem flotacji w oparciu o algorytm LQR. Podano algorytm wyszukiwania parametrów regulatora optymalnego. Uzyskano wyniki modelowania układu z regulatorem, a także przedstawiono analizę porównawczą wyników modelowania układu z regulatorem i bez regulatora, zrealizowaną za pomocą pakietu oprogramowania Matlab i biblioteki Simulink.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2019, 9, 3; 58-61
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
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