This program demonstrates operation of ADC0 in polled mode. The ADC0 is
// configured to use writes to AD0BUSY as its start of conversion source and
// to measure the output of the on-chip temperature sensor. The temperature
// sensor output is converted to Degrees Celsius and is transmitted out UART0
This program demonstrates operation of ADC0 in polled mode. The ADC0 is
// configured to use writes to AD0BUSY as its start of conversion source and
// to measure the output of the on-chip temperature sensor. The temperature
// sensor output is converted to Degrees Celsius and is transmitted out UART0
Generate a great circle "trajectory" from [lat1,lon1] to [lat2, lon2].
％ Resulting points will be seperated by approximately delta_ft feet.
％ By default, delta_ft = 100 feet. All lat/lon inputs & outputs are in
％ Degrees.
PlotSphereIntensity(azimuth, elevation)
PlotSphereIntensity(azimuth, elevation, intensity)
h = PlotSphereIntensity(...)
Plots the intensity (as color) of a number of points on a unit sphere.
Input:
azimuth (phi), in Degrees
elevation (theta), in Degrees
intensity (optional, if not provided, a green sphere is produced)
All inputs must be vectors or matrices of the same size. Data does not have to be evenly spaced. When there aren t enough points to draw a smooth sphere, additional points (with color) are interpolated.
Output:
h - a handle to the patch object
The axes are also plotted:
positive x axis is red
positive y axis is green
positive z axis is blue
This article presents GISCoordinate.java - a class that allows you to represent a GIS coordinate in your JAVA code in decimal Degrees (38.4443, e.g. 122.33433) , minute Degrees (33 44 22E, 122 33 44N), or radian Degrees. Also, you can use this class to manipulate the coordinate, moving it around the globe by giving it distances in feet and direction of travel. You can then extract the new coordinate that is calculated after the travel.
This project shows the temperature on a three digit 7-segment display, it measures the temperature from -9.5 to 99 Degrees Celcius in 0.5 C steps, or from 0 to 210 Degrees Fahrenheit in 1.0 Degrees steps. Because of the LED display the temperature is also readable in the dark.
A Celsius-Fahrenheit-Kelvin -converter using NetBeans IDE.An application that converts between Celsius, Fahrenheit, and Kelvin Degrees. For each unit, there is a text field showing the temperature, and a button that activates the conversion from that unit to the other units. Show 2 decimal places.
This function is used to evaluate the max height and the max
distance of a projectile and plot the trajectory.
Inputs
v0 : The initial velocity in m/s
theta: The angle at which the projectile is fired in Degrees
Outputs
hmax : The maximum hieght in m
dmax : The maximum distance in m
Abstract-In this paper, simple autonomous chaotic circuits
coupled by resistors are investigated. By carrying out computer
calculations and circuit experiments, irregular self-switching phenomenon
of three spatial patterns characterized by the phase
states of quasi-synchronization of chaos can be observed from
only four simple chaotic circuits. This is the same phenomenon
as chaotic wandering of spatial patterns observed very often from
systems with a large number of Degrees of freedom. Namely, one
of spatial-temporal chaos observed from systems of large size can
be also generated in the proposed system consisting of only four
chaotic circuits. A six subcircuits case and a coupled chaotic circuits
networks are also studied, and such systems are confirmed
to produce more complicated spatio-temporal phenomena.
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density Degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending
on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets
indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
