Pattern matching has been used extensively for many machine vision applications such as optical character recognition, face detection, object detection, and defect detection. The normalized cross correlation (NCC) is the most commonly used technique in pattern matching. However, it is computationally intensive, sensitive to environmental changes such as lighting and shifting, and suffers from f...

Estimating aboveground carbon stocks of a forest affected by mountain pine beetle in Idaho using lidar and multispectral imagery" (2012). USDA Forest Service / UNL Faculty Publications. Paper 215. a b s t r a c t a r t i c l e i n f o Keywords: Carbon Mountain pine beetle Insect outbreak Tree mortality Aerial imagery Lidar Mountain pine beetle outbreaks have caused widespread tree mortality in ...

The competition plot is a method for determining whether or not two enzyme-catalysed reactions occur at the same active site. It is a plot of total rate against p, where p varies from 0 to 1 and specifies the concentrations (1-p)a0 and pb0 of two substrates in terms of reference concentrations a0 and b0 chosen so as to give the same rates at p = 0 and p = 1. If the two substrates react at the s...

S U M M A R Y Wepresent and use a phase coherence approach to identify seismic signals that have similar path effects but different source time functions: co-located earthquakes and tremor. Themethod used is a phase coherence-based implementation of empirical matched field processing, modified to suit tremor analysis. It works by comparing the frequency-domain phases of waveforms generated by t...

Politicians all over the world are investing considerable time and effort in both creating and curating social media profiles, with many sending hundreds or even thousands of messages over social platforms during election time, often with the help of trained and professional staff. However, there have been only a handful of papers that have sought to test whether active campaigning on social me...

Based on the fractal dimension, the tri-plots can classify two large and not equal sizes of the time series datasets. The tri-plots measure three function values which include two self-plots and one cross-plot. The self-plot affords the character of one individual dataset. The cross-plot describes the relation between two datasets. Originally, the tri-plots just can get the relation in two data...

Fractional factorial split-plot designs are widely used when it is impractical to perform fractional experiments in a completely random order. When there too many subplots per whole plot, or few plots, with replicated settings of the plot factors preferred. However, such an important study undeveloped literature. This paper considers WP from viewpoint clear effects. We investigate sufficient an...

In some experiments, the levels of factors are difficult to change; then fractional factorial split-plot (FFSP) designs suitable for selection. an FFSP design, divided into two classes—the whole plot (WP) and subplot (SP) factors. selection WP can affect that SP factors, which attracts much attention Paying more a new optimality criterion selecting such is proposed. The robustness proposed meth...