The document discusses MATLAB vectors and matrices. It describes that MATLAB has row and column vectors. Row vectors are lists of numbers separated by commas or spaces within square brackets. Column vectors are similar but have elements separated by semicolons. Matrices are rectangular arrays of numbers with rows and columns. The document provides examples of defining, manipulating, and performing operations on vectors and matrices in MATLAB.
How to define a piecewise function in Matlab without using scalars, loops or iterations. Selective indexing and function "find" are illustrated. A detailed code is shown and plotted.
For more information, visit: http://matrixlab-examples.com/piecewise-function.html
Polynomials are very important mathematical tool for Engineers. In this lecture we will discuss about how to deal with Polynomials in MATLAB and one of its application, Curve Fitting.
I am Gill H. I am a Programming Assignment Expert at programminghomeworkhelp.com. I hold a Ph.D. in Electronics Engineering from, the University of Texas, USA. I have been helping students with their homework for the past 8 years. I solve assignments related to Programming.
Visit programminghomeworkhelp.com or email support@programminghomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with Programming Assignments.
This presentation illustrates how to work with piecewise functions in Scilab and/or Scicoslab.
It teaches two ways to do it: using iterations and using vectors. In the first way, you work with every element of the input; in the second way you work with intervals and this way is much faster and efficient.
Smart indices and built-in function find are explained.
For more information, see:
http://matrixlab-examples.com/scilab-piecewise-function.html
I am Bryan K. I am a Matlab Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Matlab, University of Florida, USA. I have been helping students with their homework for the past 7 years. I solve assignments related to Discrete Fourier Transform.
Visit matlabassignmentexperts.com or email info@matlabassignmentexperts.com.
You can also call on +1 678 648 4277 for any assistance with Discrete Fourier Transform Assignments.
1. Introduction to MATLAB and programming
2. Workspace, variables and arrays
3. Using operators, expressions and statements
4. Repeating and decision-making
5. Different methods for input and output
6. Common functions
7. Logical vectors
8. Matrices and string arrays
9. Introduction to graphics
10. Loops
11. Custom functions and M-files
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)Minhas Kamal
Numerical Method Analysis- Solution of Algebraic and Transcendental Equations (Non-Linear Equation). Algorithms- Bisection Method, False Position Method, Newton-Raphson Method, Secant Method, Successive Approximation Method.
Visit here for getting code implementation- https://github.com/MinhasKamal/AlgorithmImplementations/blob/master/numericalMethods/equationSolving/NonLinearEquationSolvingProcess.c
Created in 2nd year of Bachelor of Science in Software Engineering (BSSE) course at Institute of Information Technology, University of Dhaka (IIT, DU).
How to define a piecewise function in Matlab without using scalars, loops or iterations. Selective indexing and function "find" are illustrated. A detailed code is shown and plotted.
For more information, visit: http://matrixlab-examples.com/piecewise-function.html
Polynomials are very important mathematical tool for Engineers. In this lecture we will discuss about how to deal with Polynomials in MATLAB and one of its application, Curve Fitting.
I am Gill H. I am a Programming Assignment Expert at programminghomeworkhelp.com. I hold a Ph.D. in Electronics Engineering from, the University of Texas, USA. I have been helping students with their homework for the past 8 years. I solve assignments related to Programming.
Visit programminghomeworkhelp.com or email support@programminghomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with Programming Assignments.
This presentation illustrates how to work with piecewise functions in Scilab and/or Scicoslab.
It teaches two ways to do it: using iterations and using vectors. In the first way, you work with every element of the input; in the second way you work with intervals and this way is much faster and efficient.
Smart indices and built-in function find are explained.
For more information, see:
http://matrixlab-examples.com/scilab-piecewise-function.html
I am Bryan K. I am a Matlab Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Matlab, University of Florida, USA. I have been helping students with their homework for the past 7 years. I solve assignments related to Discrete Fourier Transform.
Visit matlabassignmentexperts.com or email info@matlabassignmentexperts.com.
You can also call on +1 678 648 4277 for any assistance with Discrete Fourier Transform Assignments.
1. Introduction to MATLAB and programming
2. Workspace, variables and arrays
3. Using operators, expressions and statements
4. Repeating and decision-making
5. Different methods for input and output
6. Common functions
7. Logical vectors
8. Matrices and string arrays
9. Introduction to graphics
10. Loops
11. Custom functions and M-files
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)Minhas Kamal
Numerical Method Analysis- Solution of Algebraic and Transcendental Equations (Non-Linear Equation). Algorithms- Bisection Method, False Position Method, Newton-Raphson Method, Secant Method, Successive Approximation Method.
Visit here for getting code implementation- https://github.com/MinhasKamal/AlgorithmImplementations/blob/master/numericalMethods/equationSolving/NonLinearEquationSolvingProcess.c
Created in 2nd year of Bachelor of Science in Software Engineering (BSSE) course at Institute of Information Technology, University of Dhaka (IIT, DU).
The name MATLAB stands for MATrix LABoratory.MATLAB is a high-performance language for technical computing.
It integrates computation, visualization, and programming environment. Furthermore, MATLAB is a modern programming language environment: it has sophisticated data structures, contains built-in editing and debugging tools, and supports object-oriented programming.
These factor make MATLAB an excellent tool for teaching and research.
Digital communication lab lectures
Engineering + education purpose
This series of LAB lectures was prepared for the third class of computer networks department IN AL-Bani University College / Baghdad / Iraq.
This series of lectures is not finished yet; I will complete it and update the PDF as soon as possible.
You will find the theory and tutorial lectures in the same website
Forgive me for any wrong by mistake.
My regards
Marwa Moutaz/ M.Sc. studies of Communication Engineering / University of Technology/ Bagdad / Iraq
Introductory session for basic matlab commands and a brief overview of K-mean clustering algorithm with image processing example.
NOTE: you can find code of k-mean clustering algorithm for image processing in notes.
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Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
2. Vectors
MATLAB has two forms of vectors:
Row vectors
Column vector
Row vectors: they are lists of numbers separated by either commas or
spaces.
The number of entries is known as the"length" of the vector The
entries must be enclosed in square brackets.
v=[1 3,sqrt(25)];
3. Vectors
Examples:
v = [ 1 3, sqrt(5)]
v2 = [3+ 4 5]
v3 = [3 +4 5] � is v2=v3 ?!!!!!
We can do certain arithmetic operations with vectors of the same length
(v , v3)
Try adding v and v2.
4. Vectors
Suppose we want a vector starting from 1 up to 100 with increments of
one (i.e. 1 2…100).
Write 100 elements � time consuming process.
An easy way: v=[1:100].
Generally a : b : c produces a vector of entries
Starting with the value a,
Incrementing by the value b
Until it gets to c.
Example: 0.32:0.1:0.6
5. Vectors
So far, we have two methods for declaration:
X=[element1 element2 element3 ……. ]
(start : step : end)
Another declaration of the vector is:
Z=linspace(O,1O,11) � (start, end, no. of points)
Linear space
Increment = (end - start)/(N-1)
If X is a vector, then Y=sin(X), is also a vector with the same dimensions.
this direct relation between x,y
6. Coloum Vectors
These have similar constructs to row vectors.
But, entries are separated by ";" instead of ",".
Or, write each element in separate row.
>>x=[2;3;4];
X=2
3
4
>>x=[2
3
4]
7. Vectors Transposing
We can convert a row vector into a column vector (and vice versa) by a
process called transposing.
If H is a row vector, then
H' is a column vector, with elements of H.
Try it.
>>x=[2;3;4]; x’
>>x=[2 3 4]; x’
If x is a complex vector, then x' gives the complex conjugate transpose
of x.
10. vectors notes
Assume r = [1:2:6, -1:-2:-7];
>>r^2
>>r.^2
to get the square of each element we use: X.A2 NOT XA2
Where (.) means element by element and no care for dimension.
11. vectors multipulication
What is the difference?
Z = X*Y � single valued
Z = X.*Y � vector!
Assume x=[1 2 3 4]
y=[5 6 7 8]
12. plotting two vectors
Note: minimizing the step size will lead to very smooth curve for the
relationship and vice versa.
Simply we use the plot order to plot the vectors against each other.
Plot (indep_var , depen_var)
>>x=[-2*pi:0.1:2*pi];
>>y=sin(x);
>>plot(x,y)
14. plotting two vectors
Note: no direct relation bt. Month and Temp
Solution:
>> Month=[1:1:12];
>> Temperature=[ 17 19 22 24 27 30 34 35 31 26 23 20];
>> plot(Month,Temperature)
The result is a continuous curve, but do we need that really in this
application?
Use stem(Month,Temperature) for discrete sample plotting.
16. Strings is declared as follows:
t1 = 'A' � 1-by-1 character array.
t2 = 'BCDE' � 1-by-4 character array Powerful operations can be
performed using just one or two commands.
If our string contains quotes (you're the one)
>> str = 'you''re the one' � use 2 quotes
You can convert between ASCII values and the characters they
represent using the double and char command.
Strings on matlab
18. matrices
Row and Column vectors are special cases of matrices.
An m x n matrix is a rectangular array of numbers having m rows and
n columns.
A=[1 2 3
4 5 6]
19. Typing matrices
To type a matrix into MATLAB you must:
Begin with a square bracket [
Separate elements in a row with commas or space
Use a semicolon ";" to separate rows
End the matrix with another square bracket ].
Example: a=[123;456]
MATLAB responds with:
a=1 2 3
4 5 6
27. Extracting bits of matrix
Given Matrix J, what is the result of the following?
j=1 2 3 4
5 6 7 8
9 10 11 12
13 14 15 16
J(1,1), J(2,3), J(4,3), J(:,3), J(4,:), J(1:3,2:3),
28. Deleting row or coloum
Let a is a predefined matrix
To delete row number M, write:
a(M,:) = []
To delete column number N, write:
a(:,N) = []
29. Solving linear equation
Suppose that you would like to solve the following system of equations:
2X+Y-Z=6
X-Y-Z=-3
X+2Y-3Z=-9
In matrix form, you can write: