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The scope of analysis presented in this section is broad and high-level.
The empirical analysis presented in this section is based on the notion that the UIS might affect employment duration.
This chapter provides some concluding thoughts on this energy transition, based on the analysis presented in this section on Europe's Energy Policy Landscape.
Hence, the analysis presented in this section, which provided an error-amplification ratio of order (O e^{beta})) for (9)–(10), explains our numerical results.
The results of the analysis presented in this section are derived from ns-2 (ver. 2.35) simulations using the 802.11 wireless communication standard.
The analysis presented in this section is based on the assumption that the distortion caused by the HPA can be modeled as additive Gaussian noise, whose variance depends on the input signal and the nonlinearity HPA characteristics.
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We note that the code ({mathcal C}) is nothing but a [7,3,4] Simplex code which we study in Section 7. It follows from the analysis presented in Section 7 that this code has (r=3,ℓ=2 -cooperative locality,ℓ=2 -cooperativef ℓ=2 failocality symbols can be recovered by contacting r=3 other code symbols.e
DA algorithm in the application of DG planning problem to obtain DG size and economic analysis is presented in this section.
The results of this analysis are presented in this section.
The mathematical analysis presented in Section 4 is based on such network model, a routing discovery algorithm proposed in Section 5 establishes this network model for each source node, and simulations based on the established network are made in Section 6. Figure 2 shows the energy consumption of main components in WSNs, which is proposed by Estrin [30].
This observation will be useful to the analysis presented in Section 3.
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