Using Matlab, plot the following ultrasound pressure wave as a function of x for t=1 P(t, x) = Poe*cos(wt - kx) 1 rad/cm, o = 1 where a = 0.15 neper/m, where neper is a dimensionless quantity, k rad/s, and Po = 15 N/m2. Submit your ".m" file as well as the resulting graph labeled appropriately. %3D

Using Matlab, plot the following ultrasound pressure wave as a function of x for t=1 P(t, x) = Poe*cos(wt - kx) 1 rad/cm, o = 1 where a = 0.15 neper/m, where neper is a dimensionless quantity, k rad/s, and Po = 15 N/m2. Submit your ".m" file as well as the resulting graph labeled appropriately. %3D

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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In the Mystical Garden, each flower is associated with a secret numerical code that guards its mystical properties. The code validation process involves a series of botanical calculations. The validation process is described as follows: . Calculate the product of the digits at prime positions (1-based index) from left to right. Calculate the sum of the cubed digits at non-prime positions from left to right. If the absolute difference between the results from step 1 and step 2 is a perfect square, the flower code is considered valid; otherwise, it is invalid. Example: Consider the mystical flower code 73921546. Step 1. Calculate the product of the digits at prime positions. 7*3*1*5=105 Step 2. Calculate the sum of the cubed digits at non-prime positions. 9^3 + 2^3 +4^3 +6^3=729+8+64 +216 = 1017 Step 3. If the absolute difference between the results from step 1 and step 2 is a perfect square. |105 - 1017|=912 (not a perfect square) Flower code 73921546 is invalid. Your task is to write a…
Write a Jupyter code for the following.
Using truth table and functions please complete task 3. Schematic truth table should match). Must have 3 ins and 7 outs. Will upvote!(:
You will be using on RV related review comments to train a Sentence completion model. You could use the code below. The code is written in Jupyter notebook python. please follow the following instructions: 1. Build a working sentence completion model. Training data is provided in train.csv. This model should take partial sentences (e.g., "hey how ar," "hello, please") and provide completion for that sentence. Not every input needs to be completed into a correct sentence (e.g., "asdfauaef" does not need to have a sentence completion). For this model's purposes, a sentence is considered completed if an "end of sentence" character (like a full stop, question mark, etc.) occurs within the next five words OR. We predict up to 5 words from the input. 2. BONUS: If you use word vectors or other techniques from what we shared in class using character encoding and have a working model. 3. The test data (test.csv) will be used to evaluate the model. The test file contains partial sentences. Use…
Your task is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. Implement and train a classification model for the Titanic dataset (the dataset can be found here: https://www.kaggle.com/c/titanic). Please ignore the test set (i.e., test.csv) and consider the given train set (i.e., train.csv) as the dataset. What you need to do: 1. Data cleansing 2. Split the dataset (i.e., train.csv) into a training set (80% samples) and a testing set (20% samples) 3. Train your model (see details below) 4. Report the overall classification accuracies on the training and testing sets 5. Report the precision, recall, and F-measure scores on the testing set 1. Required Model (100 pts): Implement and train a logistic regression as your classification model. • You have to use Sklearn deep learning library. • You may want to refer to this tutorial: https://bit.ly/37anOxi
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Why do there always be straight lines even I have changed the parameters?
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You have an integer matrix representing a plot of land, where the value at that location represents the height above sea level. A value of zero indicates water. A pond is a region of water connected vertically, horizontally, or diagonally. The size of the pond is the total number of connected water cells. Write a method to compute the sizes of all ponds in the matrix.EXAMPLEInput:0 2 1 00 1 0 11 1 0 10 1 0 1Output: 2, 4, 1 (in any order)
Write code to pack your suitcase. I've included a csv file that lists items, a value, and a weight associated with each item. Read in this file and pack your suitcase with these items using a greedy approach. Your goal is to optimize packing your suitcase such that you maximize the space used for the greatest possible value. For instance, if the limit of my suitcase is 1000 and I have one item that weighs 1000 and has a value of 4, then the best way to pack my suitcase is with this one item if there are no other combination of items with a total weight 4. Your implementation should be written as a function which takes in 2 parameters: (1) the path/name of the csv file and (2) the max allowed weight, w. The function will return the total weight packed, the value of the items packed, and a list of the items packed. The value of the suitcase will be equivalent to the sum of the value for all items packed. For both questions A and B, the problem is bounded. We have 1 of each item listed…
You are given a 2 by n grid, where the cell on row i column j contains a non-negative number ai,j . You can start at either cell in the lefttmost column, and your goal is to reach either cell in the rightmost column by a sequence of moves. You can move to an adjacent cell (if it exists) in each of the 4 cardinal directions (up,down, left and right). A path achieves a score equal to the sum of values in its cells. Note that a cell which is used twice in a path only counts its value once to the score of that path.Design an algorithm which runs in O(n) time and finds a path of minimum score from the leftmost column to the rightmost column.