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    Wyświetlanie 1-3 z 3
    Tytuł:
    Selected algorithms of MEMS accelerometers signal processing in burglary detector application
    Autorzy:
    Fabiański, B.
    Nowopolski, K.
    Wicher, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/376276.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    MEMS
    accelerometer sensor
    data streaming
    DSP
    low-power MCU
    alarm system
    artificial neural network
    Opis:
    In the paper, implementations and results of operation of artificial neural network applied as a burglary classifier are presented in comparison to solution with a direct digital signal processing (DSP) approach. The neural network operates in a mobile access control device, that may be easily attached to a door. The device is an integrated system, equipped with several sensors based on microelectromechanical systems (MEMS) technology. Due to limited effectiveness of simple, conditional logic algorithms on acquired signal samples, a more sophisticated approaches are investigated. Data acquisition during imitation of various burglary scenarios and further processing of the recorded signals are described in the paper. Selection of the neural network structure and pre-processing methods of sensor signals are presented as well. The direct DSP algorithm based on the application of the properties of application phenomena is shown in the same way. Finally, results of selected algorithms implementation in a low-power 32-bit microcontroller system are presented. Limitation of the platform responsiveness in the real-time conditions and comparison of used classification methods are discussed in the paper conclusions.
    Źródło:
    Poznan University of Technology Academic Journals. Electrical Engineering; 2016, 87; 267-278
    1897-0737
    Pojawia się w:
    Poznan University of Technology Academic Journals. Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Burglary detection based on accelometric data using selected signal processing algorithms
    Autorzy:
    Fabiański, B.
    Nowopolski, K.
    Wicher, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/97596.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    MEMS
    accelerometer sensor
    data streaming
    DSP
    low–power MCU
    alarm system
    artificial neural network
    Opis:
    The paper presents two approaches to the problem of burglary detection. The first one utilizes direct signal processing, while the other – artificial neural network (ANN). Both algorithms are compared in real operating conditions. The implementation of the algorithms was performed in a portable, battery operating devices that can be easily attached to the door. For direct comparison, two identical devices including several MEMS accelerometers and 32 bit microcontroller have been used – each with one algorithm implemented. The goal of using artificial neural network algorithm was to improve the performance of the burglary detection system in comparison to classical direct signal processing. The structure of ANN and required pre – processing of the input data, is presented and discussed as well. The article also describes the research system required to collecting the data for ANN training and to directly compare both algorithms. Finally, the results of behavior of the classification methods in real actual conditions is discussed.
    Źródło:
    Computer Applications in Electrical Engineering; 2016, 14; 313-327
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Control system in electric tricycle focused on high dynamics of pedals load torque response
    Autorzy:
    Fabiański, B.
    Wicher, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/377624.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    electric vehicle
    tricycle
    distributed control system
    pedaling by wire system
    CAN network
    electric drive
    BLDC motor
    power inverter
    STM32F4 MCU
    Opis:
    In the article two different control system structures of electric driven tricycle are presented. The very specific feature of the vehicle is that it works with "pedaling by wire". It means, that there is no mechanical coupling between pedals and any of driven wheels. This structure gives an advantage of achieving wide range of the correlation between the pedals load torque and speed and the driven wheels electromagnetic torque and speed. The challenge is to provide a natural pedaling feels for the rider. Two different approaches for control system signal flow are compared for natural pedaling feel for cyclist. The system architecture bases on CAN network distributed control that links three independent wheel drives, dedicated HMI panel, generator inverter and centralized supervisory board. The modelling methods are presented in the paper with an appropriate analytical base. Simulation results of presented control structures follows experimental ones taken from the electric tricycle.
    Źródło:
    Poznan University of Technology Academic Journals. Electrical Engineering; 2016, 85; 233-244
    1897-0737
    Pojawia się w:
    Poznan University of Technology Academic Journals. Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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