The MathWorks Certified MATLAB Associate (MCMA) exam is indeed 50 multiple choice questions. The time limit and passing score vary among the instances of the exam. (This difference corrects for exam instances that are easier or harder than the others, and helps to maintain a consistent standard for the credential.) At this level you can expect to complete the entire process (sign-in, instructions, exam, sign-out) in under three hours.Identify the core components of the MATLAB desktop environment and explain their purpose
• Interactively import data into the MATLAB environment
• Examine data variables using the Variable Editor
• Create and customize data plots using Plot Tools
• Save and load MATLAB variables to and from disk interactively
This Edureka Python Matplotlib tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what is data visualization and how to perform data visualization using Matplotlib. It also explains how to modify your plot and how to plot various types of graphs. Below are the topics covered in this tutorial:
1. Why Data Visualization?
2. What Is Data Visualization?
3. Various Types Of Plots
4. What Is Matplotlib?
6. How To Use Matplotlib?
This document is useful when use with Video session I have recorded today with execution, This is document no. 2 of course "Introduction of Data Science using Python". Which is a prerequisite of Artificial Intelligence course at Ethans Tech.
Disclaimer: Some of the Images and content have been taken from Multiple online sources and this presentation is intended only for Knowledge Sharing
This Edureka Python Matplotlib tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what is data visualization and how to perform data visualization using Matplotlib. It also explains how to modify your plot and how to plot various types of graphs. Below are the topics covered in this tutorial:
1. Why Data Visualization?
2. What Is Data Visualization?
3. Various Types Of Plots
4. What Is Matplotlib?
6. How To Use Matplotlib?
This document is useful when use with Video session I have recorded today with execution, This is document no. 2 of course "Introduction of Data Science using Python". Which is a prerequisite of Artificial Intelligence course at Ethans Tech.
Disclaimer: Some of the Images and content have been taken from Multiple online sources and this presentation is intended only for Knowledge Sharing
This set of slides introduces the reader to a subset of the C++ Standard Library called the Standard Template Library (STL). The STL provides a collection of parameterized containers and algorithms, and it is the most successful example of an approach to programming called generic programming. In this presentation, we aim at studying the ideals and concepts of the STL by re-implementing small parts of the library. Specifically, we first show how we can discover requirements on types in order to devise generic algorithms. Then, we focus on how to make algorithms independent of containers through the pivotal abstraction of iterators. To this end, we replicate the standard algorithm for finding the minimum in a sequence (min_element), which we subsequently match with a custom forward iterator over intrusive linked lists of integers. Finally, we see how function objects can be used to customize containers and algorithms alike. This allows us to deepen our understanding of ordering relations, and, in particular, to introduce the concept of strict weak orderings.
This is the basic introduction of the pandas library, you can use it for teaching this library for machine learning introduction. This slide will be able to help to understand the basics of pandas to the students with no coding background.
Abstract: This PDSG workshop introduces the basics of Python libraries used in machine learning. Libraries covered are Numpy, Pandas and MathlibPlot.
Level: Fundamental
Requirements: One should have some knowledge of programming and some statistics.
This slide is used to do an introduction for the matplotlib library and this will be a very basic introduction. As matplotlib is a very used and famous library for machine learning this will be very helpful to teach a student with no coding background and they can start the plotting of maps from the ending of the slide by there own.
COLLADA™ defines an XML-based schema to allow transport of 3D assets between applications, enabling diverse 3D
authoring and content processing tools to be combined into a production pipeline.
Analysis of data in Python with SciPy and pandas, Ubuntu installation, PyCharm configuration, Series, DataFrame, big data, medical data, merging data, groupby, graphing data, iPython using Wakari.io, and analyzing stock prices of US automakers including Ford and Telsa. As presented at Penguicon 2016.
Presentation of my NSERC-USRA funded summer research project given at the Canadian Undergraduate Mathematics Conference (CUMC) 2014.
Please refer to the project site: http://jessebett.com/Radial-Basis-Function-USRA/
This set of slides introduces the reader to a subset of the C++ Standard Library called the Standard Template Library (STL). The STL provides a collection of parameterized containers and algorithms, and it is the most successful example of an approach to programming called generic programming. In this presentation, we aim at studying the ideals and concepts of the STL by re-implementing small parts of the library. Specifically, we first show how we can discover requirements on types in order to devise generic algorithms. Then, we focus on how to make algorithms independent of containers through the pivotal abstraction of iterators. To this end, we replicate the standard algorithm for finding the minimum in a sequence (min_element), which we subsequently match with a custom forward iterator over intrusive linked lists of integers. Finally, we see how function objects can be used to customize containers and algorithms alike. This allows us to deepen our understanding of ordering relations, and, in particular, to introduce the concept of strict weak orderings.
This is the basic introduction of the pandas library, you can use it for teaching this library for machine learning introduction. This slide will be able to help to understand the basics of pandas to the students with no coding background.
Abstract: This PDSG workshop introduces the basics of Python libraries used in machine learning. Libraries covered are Numpy, Pandas and MathlibPlot.
Level: Fundamental
Requirements: One should have some knowledge of programming and some statistics.
This slide is used to do an introduction for the matplotlib library and this will be a very basic introduction. As matplotlib is a very used and famous library for machine learning this will be very helpful to teach a student with no coding background and they can start the plotting of maps from the ending of the slide by there own.
COLLADA™ defines an XML-based schema to allow transport of 3D assets between applications, enabling diverse 3D
authoring and content processing tools to be combined into a production pipeline.
Analysis of data in Python with SciPy and pandas, Ubuntu installation, PyCharm configuration, Series, DataFrame, big data, medical data, merging data, groupby, graphing data, iPython using Wakari.io, and analyzing stock prices of US automakers including Ford and Telsa. As presented at Penguicon 2016.
Presentation of my NSERC-USRA funded summer research project given at the Canadian Undergraduate Mathematics Conference (CUMC) 2014.
Please refer to the project site: http://jessebett.com/Radial-Basis-Function-USRA/
A short term course on Matlab for Beginners. It gives an insight of the basic commands used for Matlab programming. This course is useful for them who have no prior knowledge in Matlab programming and want to their projects bases on Matlab.
Introduction to programming in MATLAB
Youtube: https://www.youtube.com/watch?v=gDhpqj13dTA
Github: https://github.com/Mustafa-nafaa/Multimedia-TechnologyLab/tree/main/Week1:Introduction%20Matlab
Python is a widely used programming language that offers several unique features and advantages compared to languages like Java and C++. Our Python tutorial thoroughly explains Python basics and advanced concepts, starting with installation, conditional statements, loops, built-in data structures, Object-Oriented Programming, Generators, Exception Handling, Python RegEx, and many other concepts. This tutorial is designed for beginners and working professionals.
04_python_functions.ppt You can define functions to provide the required func...anaveenkumar4
You can define functions to provide the required functionality. Here are simple
rules to define a function in Python.
❖ Function blocks begin with the keyword def followed by the function name
and parentheses ( ).
❖ Any input parameters or arguments should be placed within these
parentheses. You can also define parameters inside these parentheses.
❖ The first statement of a function can be an optional statement - the
documentation string of the function or docstring.
❖ The code block within every function starts with a colon : and is indented.
❖ The statement return [expression] exits a function, optionally passing back
an expression to the caller. A return statement with no arguments is the
same as return None.
Electric circuits are classified in several ways. A direct-current circuit ca...anaveenkumar4
Electric circuit, path for transmitting electric current. An electric circuit includes a device that gives energy to the charged particles constituting the current, such as a battery or a generator; devices that use current, such as lamps, electric motors, or computers; and the connecting wires or transmission lines. Two of the basic laws that mathematically describe the performance of electric circuits are Ohm’s law and Kirchhoff’s rules.
MATLAB stands for Matrix Laboratory. It is a high-performance language that is used for technical computing. It was developed by Cleve Molar of the company MathWorks.Inc in the year 1984.It is written in C, C++, Java. It allows matrix manipulations, plotting of functions, implementation of algorithms and creation of user interfaces.
A 100-kW PV array is connected to a 25-kV grid via a DC-DC boost converter and a three-phase three-level Voltage Source Converter (VSC). Maximum Power Point Tracking (MPPT) is implemented in the boost converter by means of a Simulink® model using the 'Incremental Conductance + Integral Regulator' technique.
Another example (see PVArrayGridAverageModel model) uses average models for the DC_DC and VSC converters. In this average model the MPPT controller is based on the 'Perturb and Observe' technique.
Photovoltaic water pumping systems convert solar energy into electrical energy to power the water pump. Solar water pumping technology can be considered a promising alternative to electricity, diesel, or gasoline-based pumping systems as they are cost-effective and environment friendly.
Solar pumping systems make it possible to collect water from a source (river, basin, well …) even if no energy source is present on the site. Often used to provide drinking water, irrigation or to fill reservoirs, these systems allow access to water in the most remote areas.
Photovoltaic water pumping systems convert solar energy into electrical energy to power the water pump. Solar water pumping technology can be considered a promising alternative to electricity, diesel, or gasoline-based pumping systems as they are cost-effective and environment friendly.
Solar pumping systems make it possible to collect water from a source (river, basin, well …) even if no energy source is present on the site. Often used to provide drinking water, irrigation or to fill reservoirs, these systems allow access to water in the most remote areas.
wind energy Doubly-Fed Induction Generators and their characteristics, Permanent-Magnet Synchronous Generators. Generator-Converter configurations, Grid connectivity methods, Different types of Control structures, Simulation studies on Grid connected Wind turbine generator (WTG) systems. Energy storage systems for wind power conversion systems. Solar-wind hybrid power system.Doubly-Fed Induction Generators and their characteristics, Permanent-Magnet Synchronous Generators. Generator-Converter configurations, Grid connectivity methods, Different types of Control structures, Simulation studies on Grid connected Wind turbine generator (WTG) systems. Energy storage systems for wind power conversion systems. Solar-wind hybrid power system.
PROJECT PRESENTATION ENGINEERING FINAL YEAR PROJECT PRESENTATION ON IO0T MONITORING OF TRANSFORMER Health monitoring of electrical equipment using IOT may help to replace the equipment before failure and continuity of the power will not be disturbed. This paper presents an implementation of this concept which acquires the real-time condition of the distribution transformer remotely with the use of internet implementing IOT. The proposed health monitoring system works in real time and uses
temperature-sensor, potential transformer and current transformer for monitoring oil level,oil quality,temperature, voltage and current of the distribution transformer and send these information to a remote server where it can be monitored and necessary action may be taken to avoid the outage of the electricity supply. The proposed system has been implemented in Laboratory and tested. The data collected are validated and it has been found that the proposed system is working satisfactorily.
Every moments of our lifespan depends on electricity
Transformer have important role in electric field
The transmission and distribution sector of electricity depends on transformer
Large no of distribution transformer fails every year
Life of transformer depends on health of transformer
Monitoring can increase the life
The transformer in substations are controlled manually
As the transformer is controlled manually there may be a chance of occurrence of damage
It has manpower to check the operation in routine basis
To over come this problem we are using controlled by automatic
Manual operation has less reliable
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
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.
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.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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.
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/
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TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
2. MODULE-I
Working with the MATLAB User Interface
• Identify the core components of the MATLAB
desktop environment and explain their purpose
• Interactively import data into the MATLAB
environment
• Examine data variables using the Variable Editor
• Create and customize data plots using Plot Tools
• Save and load MATLAB variables to and from disk
interactively
3. Identify the core components of the MATLAB
desktop environment and explain their purpose
• you can enter MATLAB by double-clicking on
the MATLAB shortcut icon MATLAB2015(a)on
your Windows desktop. When you start
MATLAB, a special window called the MATLAB
desktop appears. The desktop is a window
that contains other windows.
4. core components of the MATLAB
desktop environment
• The major tools within or accessible from the
desktop are:
• The Command Window
• The Command History
• The Workspace
• The Current Directory
• The Help Browser
• The Start button
5.
6. Examine data variables using the
Variable Editor
• Creating MATLAB variables
• MATLAB variables are created with an
assignment statement. The syntax of variable
as-signment is
• variable name = a value (or an expression)
• For example,
• >> x = expression
7. • where expression is a combination of
numerical values, mathematical operators,
variables, and function calls. On other words,
expression can involve:
• manual entry
• built-in functions
• user-defined functions
8. commands
• Who
• Whos
• Double click
• Save
• Load
• Press tab to get ur command
• Shift+f1
• help
9.
10.
11. Overwriting variable
• Once a variable has been created, it can be reassigned. In
addition, if you do not wish to see the intermediate results,
you can suppress the numerical output by putting a
semicolon(;) at the end of the line. Then the sequence of
commands looks like this:
>> t = 5;
>> t = t+1
t =
6
12. Error messages
• If we enter an expression incorrectly, MATLAB will
return an error message.
• For example, in the following, we left out the
multiplication sign, *, in the following expression
>> x = 10;
>> 5x
??? 5x
• |
• Error: Unexpected MATLAB expression.
17. Handling arrays(vectors &matrix )
• A vector is a special case of a matrix. The
purpose of this section is to show how to
create vectors and matrices in MATLAB. As
discussed earlier, an array of dimension 1×n is
called a row vector, whereas an array of
dimension m×1 is called a column vector.
18. Vector entry
>> v = [1 4 7 10 13]
v =
1 4 7 10 13
>> w = [1;4;7;10;13]
w =
1
4
7
10
13
24. Colon operator in a matrix
• >> A(2,:)
ans =
4 5 6
is the second row elements of A
• The colon operator can also be used to extract a sub-
matrix from a matrix A
• >> A(:,2:3)
• ans =
2 3
5 6
8 9
25. Colon operator in a matrix
• A row or a column of a matrix can be deleted
by setting it to a null vector, [ ].
• >> A(:,2)=[]
• ans =
1 3
4 6
7 0
26. Creating a sub-matrix
• To extract a submatrix B consisting of rows 2
and 3 and columns 1 and 2 of the matrix A do
the following
• >> B = A([2 3],[1 2])
B =
4 5
7 8
27. INTERCHANGE
• To interchange rows 1 and 2 of A , use the
vector of row indices together with the colon
operator.
• >> C = A([2 1 3],:)
• C =
4 5 6
1 2 3
7 8 0
28. SOME MORE COLON OP
• A(:,j) is the j th column of A
• while A(i,:) is the I th row
• A(end,:)picks out the last row of A