فهرست مقالات akram asghari govar


  • مقاله

    1 - An all optical photonic crystal based FSK demodulator suitable for optical communications
    journal of Artificial Intelligence in Electrical Engineering , شماره 5 , سال 9 , زمستان 2020
    Optical frequency shift keying demodulator is an optical structure that can generate logic 0 and 1 codes based on the frequency of the input signal. In this paper we proposed and designed a new structure for realizing frequency shift keying demodulator based on photonic چکیده کامل
    Optical frequency shift keying demodulator is an optical structure that can generate logic 0 and 1 codes based on the frequency of the input signal. In this paper we proposed and designed a new structure for realizing frequency shift keying demodulator based on photonic crystals. The propose structure was designed using resonant cavities. The simulation results show that by setting the frequency of the input signal at 191 THz and 192.3 THz the proposed structure can generate log 0 and 1 bits. The rise time of the proposed structure is about 2 ps. Keywords: Optical Communications, Photonic crystal, FSK demodulator, Resonant cavity. پرونده مقاله

  • مقاله

    2 - Noise elimination in automatic detection of epileptic seizures by wavelet transform using feature selection algorithm
    journal of Artificial Intelligence in Electrical Engineering , شماره 1 , سال 11 , زمستان 2023
    One of the most important symptoms of epilepsy is convulsions, whose detailed analysis is performed by electroencephalography (EEG) signal. Electroencephalogram, as a clinical tool to illustrate the electrical activities of the brain accurately, provides an appropriate چکیده کامل
    One of the most important symptoms of epilepsy is convulsions, whose detailed analysis is performed by electroencephalography (EEG) signal. Electroencephalogram, as a clinical tool to illustrate the electrical activities of the brain accurately, provides an appropriate method for diagnosing epilepsy disorders, which plays an important role in identifying this disease, especially seizures. Seizures resulting from epilepsy may have negative physical, psychological, and social consequences such as loss of consciousness and sudden death. With timely and correct identification of epilepsy, its effect can be treated with medicine or surgery. In this thesis, a brief review of the methods of identifying epilepsy using EEG signal analysis along with the separation of epileptic signals from healthy and normal signals has been done. Methods based on EEG analysis, from non-linear methods of signal processing, provide much better results due to the properties of signal dynamics پرونده مقاله