Module 3 Sports Physical Therapy case

4. Documents business requirements use-case narratives.for only one process note:  please  i want Documents like this in pic

Hartley Electronics, Inc., in Nashville, producesshort runs of custom airwave scanners for the defense industry.The owner, Janet Hartley, has asked you to reduce inventory byintroducing a kanban system. After several hours of analysis, youdevelop the following data for scanner connectors used in onework cell. How many kanbans do you need for this connector?Daily demand 1,000 connectorsLead time 2 daysSafety stock 12 dayKanban size 500 connectors

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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…

Use MATLAB please make code for this.

I need help solving this problem.

Which clause of an SQL query displays the results in a specific sequence?

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?

Could you please fix my code it’s supposed to look like the graph that’s on the picture. But the lines do not cross eachother at the beginning. Could you make the lines look like the lines on the graph? Use this code in MATLAB and fix it. % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Define your seed here seed = 50; rand('seed',seed); % Set the seed for reproducibility % 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 with a reduced degree of 2 pDiesel = polyfit(carPosition, CO2Diesel, 2); pPetrol = polyfit(carPosition, CO2Petrol, 2); % Generate points for best fit lines fitDiesel = polyval(pDiesel, carPosition); fitPetrol = polyval(pPetrol, carPosition); % Plotting the data figure; hold on; % Plot Diesel best fit line…

Problem 3 (40 points) (CCOs 1 & 3)/MatlabGrader On Canvas, you will find a Matlab function file process.p that takes as input the variable x and returns as output the result of a complicated process g (x). Copy the file into your working directory and use it as any other Matlab .m file or build-in intrinsic Matlab function (just call it using its name process). The only difference between a .p and a .m file is that the source code of the .p file is not visible. Find all roots of g(x) in the interval 0 ≤ x ≤ 10 to a tolerance in function of at least 10-10 using mySecant from problem 2. Recall that any .m or .p function file can be passed as an argument into another function by prefacing the function name by a @, e.g., @process can be passed as an argument into any Matlab function that uses a function as an input argument, for example fplot(@process,...) for plotting a function. Store all found unique roots in a column vector root, the corresponding tolerances in function in a column…

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:

This code keeps on generating graphs with different curves. The picture that you see two different graphs comes from the same code but both of them have different curves. I need the curve to look like the picture that only has one graph. I basically need the line to have a slight curve and every time I run the code it will come up as the same graph every time. Use this code on MATLAB and fix it % Sample data for Diesel and Petrol cars carPosition = linspace(1, 60, 50); % Assumed positions of cars % Use the 'seed' function instead of 'rng' seed = 50; % Define your seed here rand('seed',seed); % 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 with a reduced degree of 2 pDiesel = polyfit(carPosition, CO2Diesel, 2); pPetrol = polyfit(carPosition, CO2Petrol, 2); % Generate points for best fit…

I’m making the graph that you see in the picture but the code that I’m using makes the line with to many curves. Could you make the lines look like the one that you see on the graph. Don’t change the color just make it with a little bit less curves like you see in the picture. 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 points for best fit lines fitDiesel = polyval(pDiesel, carPosition); fitPetrol = polyval(pPetrol, carPosition); % Combined best fit combinedFit = (fitDiesel + fitPetrol) / 2;…