Faculty of Electrical Engineering and Information Technologies

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    OCOsense<sup>TM</sup> Smart Glasses for Analyzing Facial Expressions Using Optomyographic Sensors
    (Institute of Electrical and Electronics Engineers (IEEE), 2023-07-01)
    Archer, James
    ;
    Mavridou, Ifigeneia
    ;
    Stankoski, Simon
    ;
    Broulidakis, M. John
    ;
    Cleal, Andrew
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    DISTRIBUTION TRANSFORMER MATHEMATICAL MODEL FOR POWER LOSSES MINIMIZATION
    (2020)
    Digalovski, Mihail; Rafajlovski, Goran
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    CAN THE SYNTHESIS OF DC MOTOR CASACADE CONTROL PARAMETERS BE THE SAME AS FOR THE FIELD-ORIENTEDCONTROLLED INDUCTION MOTOR
    (International Journal on Information Technologies and Security, 2019)
    Goran Rafajlovski
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    MAGNETIC CIRCUIT HEATING METHOD FOR SYNCHRONOUS GENERATOR
    (International Journal on Information Technologies and Security, 2021)
    Digalovski, Mihail ; Najdenkoski, Krste ; Rafajlovski, Goran
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    Prediction of Core Losses of Three-Phase Distribution Transformer
    (Journal of Energy and Power Engineering, 2013)
    Mihail Digalovski ; Krste Najdenkoski ; Goran Rafajlovski
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    PWM INVERTER DEAD TIME IMPACT ON VECTOR CONTROL SYSTEM
    (International Journal on Information Technologies and Security, 2015)
    Rafajlovski, Goran; Digalovski, Mihail
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    ARTIFICAL INTELLIGENCE IN RENEWABLE ENERGY SYSTEMS BASED ON SMART ENERGY HOUSE
    (International Journal on Information Technologies and Security, 2020)
    Islam, Saiful; Rojek, Lukasz; Hartmann, Michael; Rafajlovski, Goran
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    Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels
    (MDPI AG, 2021-03-09)
    Stankoski, Simon
    ;
    Jordan, Marko
    ;
    Gjoreski, Hristijan
    ;
    Luštrek, Mitja
    <jats:p>Understanding people’s eating habits plays a crucial role in interventions promoting a healthy lifestyle. This requires objective measurement of the time at which a meal takes place, the duration of the meal, and what the individual eats. Smartwatches and similar wrist-worn devices are an emerging technology that offers the possibility of practical and real-time eating monitoring in an unobtrusive, accessible, and affordable way. To this end, we present a novel approach for the detection of eating segments with a wrist-worn device and fusion of deep and classical machine learning. It integrates a novel data selection method to create the training dataset, and a method that incorporates knowledge from raw and virtual sensor modalities for training with highly imbalanced datasets. The proposed method was evaluated using data from 12 subjects recorded in the wild, without any restriction about the type of meals that could be consumed, the cutlery used for the meal, or the location where the meal took place. The recordings consist of data from accelerometer and gyroscope sensors. The experiments show that our method for detection of eating segments achieves precision of 0.85, recall of 0.81, and F1-score of 0.82 in a person-independent manner. The results obtained in this study indicate that reliable eating detection using in the wild recorded data is possible with the use of wearable sensors on the wrist.</jats:p>
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    Modeling and Simulation of Voltage Inverter fed Induction Motor with Stator flux orientation
    (IEEE-IAS Annual Meeting, Orlando, Florida USA 1995, Vol.1,pp 546-552, 1995)
    Goran Rafajlovski, Emil Ratz, Dionis Manov, Slobodan Mircevski:
    This paper deals with the application of a nonlinear control technique in a three phase inverter-fed induction motor. Also, a mathematical model for the dynamic analysis of an induction motor and voltage controlled inverter in a stator co-ordinate system is described. Digital simulation has been utilised to prove the performance and simplicity of the induction motor mathematical formulation. This model can be easily transformed for a freely chosen rotating frame of reference. In this control system for a stator flux controlled induction motor, the instantaneous values of the flux and torque are calculated from only the primary current variables. By using instantaneous voltage space vectors, with the selection of optimum inverter switching modes employing vector modulation technique, direct control of torque and stator flux is achieved.