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[Author] Jun MENG(3hit)

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  • Research on a Prediction Method for Carbon Dioxide Concentration Based on an Optimized LSTM Network of Spatio-Temporal Data Fusion

    Jun MENG  Gangyi DING  Laiyang LIU  

     
    LETTER-Data Engineering, Web Information Systems

      Pubricized:
    2021/07/08
      Vol:
    E104-D No:10
      Page(s):
    1753-1757

    In view of the different spatial and temporal resolutions of observed multi-source heterogeneous carbon dioxide data and the uncertain quality of observations, a data fusion prediction model for observed multi-scale carbon dioxide concentration data is studied. First, a wireless carbon sensor network is created, the gross error data in the original dataset are eliminated, and remaining valid data are combined with kriging method to generate a series of continuous surfaces for expressing specific features and providing unified spatio-temporally normalized data for subsequent prediction models. Then, the long short-term memory network is used to process these continuous time- and space-normalized data to obtain the carbon dioxide concentration prediction model at any scales. Finally, the experimental results illustrate that the proposed method with spatio-temporal features is more accurate than the single sensor monitoring method without spatio-temporal features.

  • All-Optical Switching Property of an MQW-Sandwich Nonlinear Directional Coupler with Nonlinear Losses

    Naomichi OKAMOTO  Xue Jun MENG  Okihiro SUGIHARA  

     
    PAPER-Opto-Electronics

      Vol:
    E78-C No:3
      Page(s):
    299-303

    We analyze all-optical switching property of a nonlinear directional coupler (NLDC) having an MQW coupling layer with both nonlinear and linear losses, and examine the effect of nonlinear losses. We use the Galerkin finite element method accompanied by a prodictor-corrector algorithm. The propagation loss along the strongly-coupled NLDC decreases with increasing nonlinear absorption coefficient due to saturation in absorption. A propagation loss of 8.18 dB or 2.38 dB in the bar state of the cross state is much smaller than the bulk loss of MQW structure which exceeds 50 dB. The nonlinear losses lengthen the coupling length and bring it close to that of a lossfree NLDC, while the linear losses shorten. It is found that the property of the cross state is greatly improved by counting the nonlinear losses: The cross-state output power and the output power ratio of two waveguides increase, and the cross state input power, that is, the switching power decreases.

  • Properties of a Strongly-Coupled Nonlinear Directional Coupler with a Lossy MQW Coupling Layer

    Xue Jun MENG  Naomichi OKAMOTO  Okihiro SUGIHARA  

     
    PAPER-Opto-Electronics

      Vol:
    E76-C No:8
      Page(s):
    1339-1344

    Properties of a strongly-coupled nonlinear directional coupler (NLDC) with a lossy MQW coupling layer is analyzed using the Galerkin finite element method accompanied by a predictor-corrector algorithm. It is shown that the propagation attenuation along the NLDC is considerably smaller than that in the bulk MQW and tends to reduce with the input power. By the presence of losses, the powers guided in two waveguides do not become a maximum and a minimum at the same propagation length, unlike the lossless coupler. The losses make the nonlinear effect weak due to the decrease in guided power, and hence the coupling length decreases and the switching power increases. The extinction ratio of the switching becomes the largest value not in the cases of nonloss and high losses but in the case of moderately high losses, although the switching power is somewhat larger than that of the lossless case.