Gain and time-constant factors shift the inverse process relative to its feedback controller. A new robustness plot cross-graphs these shift factors that take the loop to the stability boundary as a function of frequency.

Smoke data were collected from two instrumented plots located on the Francis Marion National Forest in South Carolina during prescribed burns on Feb. 12, 2003. One of the plots had been subjected to mechanical chipping. Particulate matter (PM2.5) data analyzed by gravimetric methods were collected at nine locations on the downwind sides of each plot. In addition, samplers were hung atop 9-m pol...

We present PLTplot, a plotting package for PLT Scheme. PLTplot provides a basic interface for producing common types of plots such as line and vector field plots from Scheme functions and data, an advanced interface for producing customized plot types, and support for standard curve fitting. It incorporates renderer constructors, transformers from data to its graphical representation, as values...

Multiple scattering becomes a problem close to the critical point, especially in systems with a large difference in the refractive index and large correlation length amplitudes as for the case of polystyrene/cyclohexane. In this work we demonstrate the application of the one-beam cross correlation technique and show that in the reduced temperature range of t red51.66310 25 – 0.03 the multiple s...

We demonstrate the separation of sand stone reservoir from shale where gas sand and shale have almost similar P-, S-impedance contrast using Poisson Impedance (PI). The correlation coefficients between PI curve (with different c values) versus Gamma ray and Water saturation curve are computed. The c value corresponding to maximum correlation coefficient for GR is used to compute another attribu...

PURPOSE Time series analysis may be helpful to estimate hematological data on gastric cancer patients who receive S 1, but untreated raw clinical data are not suitable for this approach. Hematological monitoring data interpolated by spline were analyzed by an attractor plot, which is a form of time series analysis. METHODS Hematological data of three gastric cancer patients were interpolated ...

1. Implement AdaBoost with boosting stumps and apply the algorithm to the spambase data set of HW2 with the same training and test sets. Plot the average cross-validation error plus or minus one standard deviation as a function of the number of rounds of boosting T by selecting the value of this parameter out of {10, 102, . . . , 10k} for a suitable value of k, as in HW2. Let T ∗ be the best va...