AIM: 1. To write a program to solve the 2nd order ODE in MATLAB. 2. To Simulate the motion of the simple pendulum. DESCRIPTION: In Engineering, ODE is used to describe the transient behaviour of the system. A simple example is the simple pendulum. The following assumptions are made before deriving the ODE using Newton's…

AIM: 1. To write a MATLAB code to optimize the stalagamite function and to find the globa maxima of the function. 2. Explain the syntax of ga. 3. Plot graphs for all 3 studies of  F.maximum vs number of iterations. DESCRIPTION: Genetic Algorithm: The genetic algorithm works on a population using a set of operators…

                           PROJECT 1 : PARSING NASA THERMODYNAMIC DATA AIM: 1. To parse the 'THERMO.dat' file which contains data extracted by the NASA. 2. Write a code to extract 14 temperature co-efficients(7 high and 7 low temperature) 3. Write a…

AIM: 1. Create a Bell arrangement and close the switch for 2 seconds and observe the plunger movement 1. Use a thermistor to sense the temperature of a heater and turn on or off the fan based on the given conditions. REPORT: BELL ASSIGNMENT PROCEDURE: 1. The input signal is given in the PULSE GENERATOR BLOCK form for 4…

AIM: To implement control logic of a “washing machine” using Stateflow as per given sequence:  If the power supply is available, the system gets activated  If the Water supply is not available, stop the process & indicate through LED Soaking time should be 200s followed by Washing time of 100s.…

AIM: 1. To carry out system level simulation of an all-terrain vehicle (BAJA) 2. To prepare a technical reprt explaining the model properties and comments on the results. THEORY: CVT (Continuous Variable Transmission) Unlike traditional automatic transmissions, continuously variable transmissions don't have a gearbox with…

AIM: 1. To reconstruct Engine block and vehicle Dynamics block. 2. To modify the “Project1_ProcessingFile.m” as per the desired plots and required calculations   Engine Block Reconstruction: Initial  Engine Block Modified Engine Block Initial Vehicle Dynamics block Modified Vehicle Dynamics Block…

AIM: 1. Your code should create a PV diagram 2. You should output the thermal efficiency of the engine. OTTO CYCLE PROCESS: In an ideal Otto cycle, the system executing the cycle undergoes a series of four internally reversible processes: two isentropic (reversible adiabatic) processes alternated with two isochoric processes:…

AIM: 1) Show the characteristics of the pendulum for the given BCs 2) Create an animation  REPORT: g = gravity in m/s2, L = length of the pendulum in m, m = mass of the ball in kg, b=damping coefficient. Given L=1 metre, m=1 kg, b=0.05. g=9.81 m/s2. Initial conditions: @t=0 s , ang disp = 0 , ang velocity = 3 rad/s…

1. What does popt and pcov mean? (Watch the video to get some context) popt is the output of the coefficient values in a polynomial equation. eg In a 3rd order polynomial, at3+bt2+ct+d = 0 , a,b,c and d are the coefficients. pcov is the 2d array which contains the estimated covariance of popt. 2. What does np.array(temperature)…

1. Why there is a difference in formula of variance for population and sample. POPULATION STANDARD DEVIATION: µ is the mean of the population of N values and xi denotes the values of the population. SAMPLE STANDARD DEVIATION: x(bar) is the mean of the sample of N values and xi denotes the values of the sample. In…

1)Calculate all 4 business moments using pen and paper for the below data set? 2)What is the significance of expected value when simple mean (Sum of all observations/number of observations) is already in place The simple mean is highly influenced by the outliers of the data and it can overpredict based on the higher and…

1. Perform Gradient Descent in Python with any loss function I have considered  x = [0,4,5,9,12,15] y = [0,8,10,18,24,30) learning rate = 0.01 loss function - Mean square error  modules used :  1. numpy 2. math 3. matplotlib.pyplot   import numpy as np import math import matplotlib.pyplot as plt…

1. Pros and cons of SVM PROS: i, It works really well with a clear margin of seperation. ii, It is effective in high dimensional spaces. iii, It is effictive in cases where the number of dimensions are greater than the number of samples. iv, It uses a subset of training points in the decision function (called support vectors),…

1. Pros and cons of knn ADVANTAGES i, K-NN is pretty intuitive and simple ii, K-NN has no assumptions.ie, it is a non-parameteric algorithm. iii, No training step - does not require indiviudal training to the model and so called Lazy learning model iv,It constantly evolves - it is a memory based approach and respond quickly…

1. What is a Neural Network? Neural Network reflects the behaviour of the Human Brain, allowing computer to recognize patterns and solve common problems in the fields of AI, Machine Learning, and Deep Learning.   Neural Networks, also known as Artificial Neural Networks (ANN) or simulated neual Networks (SNN), are…

Data cleaning on Automobile 1985 dataset and perform descriptive analytics The dataset was taken from the file 1985_Automobile_dataset https://www.kaggle.com/fazilbtopal/auto85 Descriptive analysis in python: Code snippets: 1. Importing the pandas, numpy and matplotlib libraries 2.  The downloaded file 'auto.csv'…

Python code: Importing the libraries DATA PREPROCESSING: Reading the dataset Assigning the target to target column Dropping the target columns from the df dataset Converting the categorical datas  Converting the numerical datas Combining the data   TUNING THE MODEL Assigning the best cluster as 10 and visualizing…

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PROJECT_2   The attached excel sheet data is cleaned and seperated into multiple columns by data filter and then the other questions were answered

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