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    List of Articles S Nooreddin Jafari


  • Article

    1 - Extraction of Sensory part of Ulnar Nerve Signal Using Blind Source Separation Method
    International Journal of Smart Electrical Engineering , Issue 1 , Year , Winter 2012
    A recorded nerve signal via an electrode is composed of many evokes or action potentials, (originated from individual axons) which may be considered as different initial sources. Recovering these primitive sources in its turn may lead us to the anatomic originations o More
    A recorded nerve signal via an electrode is composed of many evokes or action potentials, (originated from individual axons) which may be considered as different initial sources. Recovering these primitive sources in its turn may lead us to the anatomic originations of a nerve signal which will give us outstanding foresights in neural rehabilitations. Accordingly, clinical interests may be raised on extraction of sensory and motor components of the nerve signals in neural injuries. One example is to extract sensory fraction in sacral nerve to sense the bladder filling up in paraplegic or quadriplegic people [3]. Blind Source Separation (BSS) methods seem good solutions for extraction of the initial sources which are contributing in recorded mixed sources. Considering the nerve signal as a superposition of many axonal or fascicular signals, we have encouraged to try BSS methods to see whether it can recover the sensory and motor sources of a recorded nerve signal. Accordingly, both PCA and ICA techniques were examined in a case study (human left arm), in which the response of the ADM muscle to the Ulnar nerve stimulation were recorded in two points. The corresponded sensory signal was recorded on the pinkie at the same time (all recordings were done via surface electrodes). It was shown that ICA (supremely better than PCA) was able to separate initial sources (ADM recorded signals) into two signals so that one of them was most similar to the sensory (Pinkie) signal. The level of similarity was quantified via correlation analysis. As the result, it is concluded that ICA is capable of extracting Sensory and Motor signals in PNS. Manuscript profile

  • Article

    2 - Strained Carbon Nanotube (SCNT) Thin Layer Effect on GaAs Solar Cells Efficiency
    Journal of Optoelectronical Nanostructures , Issue 5 , Year , Winter 2020
    In this paper, the effect of strain on the efficiency of GaAs solar cell is
    investigated. It has been shown that the applied strain during the synthesizing of carbon
    nanotubes (CNTs) leads to changing some of its physical properties. This means that strains
    More
    In this paper, the effect of strain on the efficiency of GaAs solar cell is
    investigated. It has been shown that the applied strain during the synthesizing of carbon
    nanotubes (CNTs) leads to changing some of its physical properties. This means that strains
    can cause numerous changes in the structures. By using a strained layer of the carbon
    nanotubes on the GaAs solar cell, the effect of this layer on the performance of the GaAs
    solar cell is evaluated. This CNT layer can be used for several purposes. The first is to
    create a transparent electrical conductor at the cell surface to increase the output current.
    This purpose is one of the most important applications of this layer. But the second and
    more important goal is to capture more photons and reduce the emission or reflection of
    light emitted onto the cell surface. It is found that the mentioned goals cannot be satisfied
    simultaneously. Accordingly, to solve this problem, two different layers were used to
    achieve the ideal conditions. It has been shown that the use of a 10% uniaxial strained CNT
    layer leads to increase the photon absorption rate onto a non-strained CNT layer for
    electrical purposes. The efficiency of the single-junction GaAs solar cell with the above
    conditions reaches about 31% which is about 2% higher than the model without strain. Manuscript profile