HITT 2208 Discussion 1.1

The Weather Monitor. Your South American expedition splits into two groups: one that stays at home base, and yours that goes off to set up a sensor that will monitor precipitation, temperature, and sunlight through the upcoming winter. The sensor must link up to a central communications system at base camp that simultaneously uploads the data from numerous sensors to a satellite. In order to set up and calibrate the sensor, you will have to communicate with base camp to give them specific location information. Unfortunately, the group's communication and navigation equipment has dwindled to walkie-talkies and a compass due to a river-raft mishap, which means your group must not exceed the range of the walkie-talkies (3.0 miles). However, you do have a laser rangefinder to help you measure distances as you navigate with the compass. After a few hours of hiking, you find the perfect plateau on which to mount the sensor. You have carefully mapped your path from base camp around lakes and…

I need help in the following MATLAB code. How do I add the code to answer the following question "Do you find more object detections in the image than the one that is cropped out? Explain how you would discriminate that from a dead pixel, a hot pixel, or a cosmic ray event."   fname = '00095337.fit'; fInfo = fitsinfo(fname); img = fitsread(fname);   % Crop the image to show just the object: img_cropped = img(1980:2030,1720:1780);   % Load the labeled image img_labeled = imread('00095337_labeled_stars.png'); img_labeled = img_labeled(102:863,605:1363,:);   % Get rid of "hot" pixels (cosmic rays, disfunctional pixels) max_acceptable_value = 1300; img(img>max_acceptable_value) = max_acceptable_value;     % Plot the images f1 = figure(); tgroup1 = uitabgroup('Parent',f1); tab(1) = uitab('Parent', tgroup1, 'Title', 'Raw image'); ax(1) = axes('parent',tab(1)); imagesc(img) axis equal axis([0,size(img,2),0,size(img,1)]+0.5) colormap(gray(256)); xlabel('x [px]') ylabel('y [px]')…

You are a biomedical engineer working for a small orthopaedic firm that fabricates rectangular shaped fracture fixation plates from titanium alloy (model = "Ti Fix-It") materials. A recent clinical report documents some problems with the plates implanted into fractured limbs. Specifically, some plates have become permanently bent while patients are in rehab and doing partial weight bearing activities. Your boss asks you to review the technical report that was generated by the previous test engineer (whose job you now have!) and used to verify the design. The brief report states the following... "Ti Fix-It plates were manufactured from Ti-6Al-4V (grade 5) and machined into solid 150 mm long beams with a 4 mm thick and 15 mm wide cross section. Each Ti Fix-It plate was loaded in equilibrium in a 4-point bending test (set-up configuration is provided in drawing below), with an applied load of 1000N. The maximum stress in this set-up was less than the yield stress for the Ti-6Al-4V…

Identify the lines

I need help with simulink. It is my first time using simulink. I am trying to make a simulink program turning on the LED on the board for 10sec for an Arduino Mega 2560. I have attached an image of what I tried to do. After I run, it just says no diagnostic. How do I know if I did this correctly or not?

Don't copy paste someone else answer if I get to know I'll report and downvote too do on your own and only handwritten with proper steps not that handwritten only

Please make this on MATLAB, make the graph shown on the picture, copy the orange and blue circles and the line please make sure that they are on the exact same spots. Make the exact copy of the graph please. Nothing different, just make the same graph and put the orange and blue circles on the exact spots and make sure the lines are the same and make sure the title of the graph is their as well. They rest of the pictures that has numbers are the data that is believed to be the orange and blue dots . Take your time please. I need help with this.

You are assigned as the head of the engineering team to work on selecting the right-sized blower that will go on your new line of hybrid vehicles.The fan circulates the warm air on the inside of the windshield to stop condensation of water vapor and allow for maximum visibility during wintertime (see images). You have been provided with some info. and are asked to pick from the bottom table, the right model number(s) that will satisfy the requirement. Your car is equipped with a fan blower setting that allow you to choose between speeds 0, 1,2 and 3. Variation of the convection heat transfer coefficient is dependent upon multiple factors, including the size and the blower configuration.You can only use the following parameters:

There is a small space between the orange and purple line could you please connect the two lines together also can you please make the purple line shorter and then connect the purple line to the orange line, please take out the box that says “Diesel, petrol, Diesel best fit, petrol best fit”. Also when ever I run this code the graph shows up but there are still errors that comes up could you please fix them when you are running this on MATLAB. Please use this code on MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Fix the random seed for reproducibility rng(50); % Assumed CO2 emissions for Diesel and Petrol CO2Diesel = 25 + 5*cos(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Diesel CO2Petrol = 20 + 5*sin(carPosition/60*2*pi) + randn(1, 50)*5; % Random data for Petrol % Fit polynomial curves pDiesel = polyfit(carPosition, CO2Diesel, 3); pPetrol = polyfit(carPosition, CO2Petrol, 3); % Generate…

I am having trouble with the folloiwng MATLAB code. I am getting an error that says "unrecognized function or variable 'numericalPropogatorOptions". I have the aerospace toolbox and the aerospace blockset added. what add on do I have to download to use that function. How do I make this code work?     % Define Keplerian Elements a = 29599.8; e = 0.0001; i = 0.9774; Omega = 1.3549; w = 0; M = 0.2645; [RECI, VECI] = Kepler2RV(a, e, i, Omega, w, M); initialState = [RECI * 1e3; VECI * 1e3]; % Initial position (m) and velocity (m/s)   % Define constants mu = 3.986004418e14; % Gravitational constant (m^3/s^2) earthRadius = 6378.1363 * 1e3; % Earth radius in meters j2 = 1.08263e-3; % J2 perturbation coefficient   % Define propagator options propOptions = numericalPropagatorOptions('CentralBody', 'Earth', ... 'GravitationalParameter', mu, ... 'InitialState', initialState, ... 'OutputTimeStep', 300); % Output every 300 seconds   % Add perturbations addGravityModel(propOptions, 'Degree', 2,…

A nearsighted eye is corrected by placing a diverging lens in front of the eye. The lens will create a virtual image of a distant object at the far point (the farthest an object can be from the eye and still be in focus) of the myopic viewer where it will be clearly seen. In the traditional treatment of myopia, an object at infinity is focused to the far point of the eye. If an individual has a far point of 39.5 cm, prescribe the correct power of the lens that is needed. Assume that the distance from the eye to the lens is negligible.

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