Sentence examples for methodology as a function of from inspiring English sources

IIP3 and noise figure are simulated using a calibrated linear circuit analysis and Volterra series methodology as a function of the two major design variables: emitter geometry and biasing current.

We next evaluated the performance of our methodology as a function of the parameters used to simulate the true MSA.

Figure 8 shows the mean damage degrees obtained using the two methodologies as a function of the earthquake magnitude.

Open image in new window Fig. 8 Comparison of the mean damage degrees of structures in Bucharest, Romania, using the FRACAS and SPO2FRAG methodologies as a function of earthquake magnitude.

Open image in new window Fig. 9 Comparison of the mean damage degrees for each class of structures in Bucharest, Romania, using the FRACAS and SPO2FRAG methodologies as a function of earthquake magnitude (left FRACAS results, right SPO2FRAG results).

Table 4 Comparison of the mean annual damage degrees for structures in Bucharest, Romania, using the FRACAS and SPO2FRAG methodologies as a function of the level of design peak ground acceleration (PGA) Design PGA Mean annual damage degree FRACAS SPO2FRAG 0.24 g 0.043 0.036 0.30 g 0.034 0.026 0.36 g 0.027 0.023.

For unbiased track fits, κ slightly increases from 0.87 at 2 GeV to 0.94 at 6 GeV with a precision of a single measurement of about 2%%. Figure 6b shows the measured intrinsic resolution for both methodologies as a function of the beam energy.

This will enable identifying which assessment methodology is better as a function of the running speech coding scheme.

Optimization of the reduction efficiency was investigated using response surface methodology (RSM) as a function of the ceramic practical sizes (0.25 1.18 mm) and hydraulic retention time HRT (1 3 h).

Fig. 14 Methodology employed in articles as a function of the subject "Use of synchronous and asynchronous tools used in e-learning activities".

A study using a similar methodology of examining events as a function of proportion of disease elapsed, found that medical equipment needs also occur at predictable time points (Bromberg et al., 2010).