4 research outputs found

    Multiwavelength fiber laser based on bidirectional lyot filter in conjunction with intensity dependent loss mechanism

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    We experimentally demonstrate a multiwavelength fiber laser (MWFL) based on bidirectional Lyot filter. A semiconductor optical amplifier (SOA) is used as the gain medium, while its combination with polarization controllers (PCs) and polarization beam combiner (PBC) induces intensity dependent loss (IDL) mechanism. The IDL mechanism acts as an intensity equalizer to flatten the multiwavelength spectrum, which can be obtained at a certain polarization state. Using different ratio of optical splitter has affected to multiwavelength flatness degradation. Subsequently, when we removed a polarizer in the setup, the extinction ratio (ER) is decreased. Ultimately, with two segments of polarization maintaining fiber (PMF), two channel spacings can be achieved due to splicing shift of 0° and 90°

    SMART CLASSROOM ENVIRONMENTAL PARAMETERS AS A PARAMETER OF ADAPTIVE LEARNING

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    This paper presents results of the research aimed at establishing the possibility of using a physical environmental parameter (λ) as one of the parameters of adaptive learning in smart classrooms. In this research, the parameter quantifying physical environmental parameters of a smart classroom into a single value was introduced and the relevance of the usage of the introduced parameter as a criterion of adaptive learning in a smart classroom was evaluated. The presentation of multiple environmental parameters through one unique parameter facilitated the realization of adaptation process, especially in the case of applying several adaptation criteria. An overall of 64 third-year students of the ICT College in Belgrade participated in the research. The implemented research drew certain conclusions. The relevance of using the parameter (λ) as the criterion of adaptive learning in smart classrooms was confirmed

    Predicting air quality in smart environments

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