1) The beta thermistor equation was discussed in class, and it is in the PP presentation....
using matlab to find steps 1-10
Calibration and sensing Consider a thermistor temperature sensor (Fig. 1) with a pull-up resistor R1 connected to a 10-bit analog-to-digital (ADC) converter (a full scale No-210-1=1023 counts corresponding to the reference voltage Vref). The thermistor is used to measure temperature in the total input span from -10°C to 110°C. knots n(t VO R1 A/D GND Temperature Fig. 1 The output count of the thermistor measurements circuit can be modeled by a nonlinear function of...
Thermistor Questions: 1. In a positive temperature coefficient thermistor, a temperature increase causes what change in the resistance? a) Increase b) Decrease c) Remain the same d) Insufficient information given 2. Which of the following would not be a possible application for a thermistor? a) Electronic thermometer b) Fire detection and warning system c) Fuse d) Temperature compensation for PTC components
c++ please
2. (50 points) Create a Temperature class that internally stores a temperature in degrees Kelvin as a double. Create mutator functions named setTempKelvin, setTempFahrenheit, and set TempCelsius that take an input temperature in the specified temperature scale (i.e. Kelvin, Fahrenheit, and Celsius, respectively), and convert the temperature to Kelvin, and store that temperature in the class member private variable (only in Kelvin, no other scales). Also, create functions that return the stored temperature in degrees Kelvin, Fahrenheit, or...
differential equation
5. Solve the system, where x and x' represent column vectors as discussed in class. J where n is your computer number (if you were not in class when the Exam was handed out, let n be the score on your Exam 1.) For what values of ? will x(0) this system be stable? Then solve the system with result in complete sentences. Show all work. 」and interpret your We were unable to transcribe this image
5. Solve...
link phenomena at these measurements, if we have a reliable model and appropriate mathematical skills to two length scales. You will be able to predict the behavior of rubber under a variety of practical Preliminary calculations Consider a piece of rubber with initial dimensions and orientation shown in the diagram below: to bo where lo, bo, and to are the unstretched length, width, and thickness, respectively Then L./ lo A force F is applied parallel to the x-axis, stretching the...
A chain of resistors we discussed in class (assuming R = 1 Ohm) has its effective resistance which can be derived from the RR IVP: r(n+1)= 2 + r(n)/(1+r(n)). r(1) = 3 According to this model, how do we estimate the effective resistance r(4) of 4 "cells"? Your answer must be correct to 6 digits. 2.73000 2.73214 1.00000 0 2.73205
2.3 Analytic form of transfer function. In certain cases the transfer function is available as an analytic expression. One common transfer function used for resistance temperature sensors (to be discussed in Chapter 3) is the Callendar- Van Duzen equation. It gives the resistance of the sensor at a temperature T as R(T)= Ro(1+AT+ BT2 - 100CT3 +CT*) [2), where the constants A, B, and C are determined by direct measurement of resis tance for the specific material used in the...
1. In class we discussed temperature sensitive mutants that are functional at lower temperatures but non-functional at higher temperatures (e.g. above 42 "C). Although less common, there are also examples of cold sensitive mutants that are functional at higher temperatures but non functional at lower temperatures (eg. below 28 °C). Instead of performing a normal pulse-chase experiment, we can combine the pulse-chase with a temperature shift. The experiment is performed by first growing cells at a permissive temperature (30-35 °C)...
a. As discussed in class, a coefficient matrix Z constructed with basis functions can be used to solve for the unknown coefficients a; of a polynomial function. Use this technique to determine the coefficients do and a; for a linear fit (y = ao tax) to the following data: x 0 1 2 3 y 2.43 9.62 13.55 20.12 Hint: Use basis functions 1 and x to create your coefficient matrix Z. Solve for the vector a using the equation:...
Using the Master Theorem discussed in class, solve the following recurrence relations asymptotically. Assume T(1) = 1 in all cases. (a) T(n) = T(9n/10) + n (b) T(n) = 16T(n/4) + n^2 (c) T(n) = 7T(n/3) + n^2 (d) T(n) = 7T(n/2) + n^2 (e) T(n) = 2T(n/4) + √n log^2n.