Results obtained for these two methods are good in track. Based on this point, RBFNN model can provide automatic estimation of local SAR values in the working frequency values and requires coordinate location for each layer. This simulation was realized for three-layer cylindrical human model; however, this method can be easily used for different structures.Variation of maximum error levels which occur in the output of the network is shown in Figure 5. We have reached to these values by choosing maximum values between RBFNN results and FDTD results for each frequency in test step. Accuracy levels of the network changed with using different frequency values. In the designed model, the error level can be reduced by using an optimum sigma (width of the Gauss Kernel function) value. The variations are given in Figures 4 and 5 for ϭ 50.The test accuracy of RBFNN changes depending on the sigma parameter. The variation of maximum error values which is calculated for all frequency values in the test data with respect to sigma parameter is shown in Figure 6. The sigma is an effective parameter for the performance of network. The determination of optimum sigma values is important for the accuracy of the system. In this work, Gaussian Kernel width was determined experimentally for maximum performance.
CONCLUSIONIn this study, a new approach based on RBFNN was presented for the estimation of local SAR values for the three-layer cylindrical human model. The target data were determined with FDTD solution, which was used to determine the local SAR, when a plane wave hits the PML-surrounded three-layer cylinder. The results show that RBFNN is an effective model for this problem space, and RBFNN design solutions are well matched with the FDTD solution results. This method was proposed for the three-layer cylindrical human model; however, this topology can be applied for different structures.
ACKNOWLEDGMENTThis research has been supported by the Research Project Department of Akdeniz University, Antalya, Turkey. Hot embossing, also known as nano-imprinting, is an emerging lithographic technology that promises high-throughput patterning of micro-and nano-scale structures [4 -6]. We have previously shown [7,8] that hot embossing can be used to define micron-scale patterns, with submicron definition, in bulk chalcogenide glass substrates and in chalcogenide glass thin-films sputtered onto semiconductor wafer substrates. In this letter, we describe the realization of single-mode optical rib waveguides in chalcogenide glasses by a new one-step process, where As 40 Se 60 fibers are hot-pressed between a silicon mold (patterned with the inverse of the required rib structures) and a Ge 17 As 18 Se 65 glass substrate. In this approach, both the thin film and rib structures are defined together, so avoiding the need for a separate thin film deposition step.
CORE/CLADDING MATERIAL SELECTION AND PREPARATIONTo fabricate hot-embossed chalcogenide glass waveguides, the chosen core/cladding materials must have suitable refractive indices, matched...