This document provides an overview of operators, control flows, and plotting in MATLAB. It discusses various types of operators in MATLAB including arithmetic, relational, logical, and special operators. It also covers conditional statements like if/elseif/else and switch/case statements for controlling program flow. Additionally, it describes loops in MATLAB including for and while loops as well as loop control statements like break and continue. Finally, it discusses various plotting functions in MATLAB for 2D and 3D plotting and provides examples of how to manipulate plots using command lines and the GUI.
This chapter discusses:
1. Program flow control and statements like conditionals and loops that alter normal linear execution.
2. Conditional statements like if/else that allow choosing which statement executes based on a boolean condition.
3. Repetition statements like while and for loops that repeatedly execute a statement as long as/for as long as a condition is true.
Chapter 3 introduces several Java program statements:
- Conditional statements like if-else allow programs to make decisions based on boolean expressions.
- Loops like while and for allow code to repeat based on conditions.
- Logical operators like && and || combine boolean expressions.
- Proper program design is important, involving requirements, design, implementation, and testing stages.
This document discusses programming concepts in MATLAB including conditional statements, loops, and logical operators. It provides examples of how to:
- Use if, elseif, and else conditional statements to execute different sections of code depending on conditions.
- Implement for loops to repeat a block of code a specified number of times.
- Employ logical operators like & (AND), | (OR), and ~ (NOT) to combine relational expressions and conditionally execute code.
- Compare values, arrays, and scalars using relational operators like <, >, ==, ~=, etc. and logical indexing.
The examples demonstrate how to control program flow and selectively run sections of MATLAB code.
This document provides an overview of MATLAB, including its uses, features, and basic programming concepts. MATLAB is a numerical computing environment and programming language that allows matrix manipulations, data visualization, algorithm development, and interfacing with other languages. It has a comprehensive set of built-in functions for mathematical and technical computing. The document discusses MATLAB's programming constructs like scripts, functions, operators, decision making statements, and loops. It also covers basic data types like vectors and matrices.
The document outlines different types of operators in JavaScript, including arithmetic, comparison, logical, bitwise, assignment, conditional, and typeof operators. It provides examples of each operator and explains their usage. The document also discusses conditional statements like if, if-else, and if-else if statements for controlling program flow based on different conditions.
The document discusses comparison, logical, and bitwise operators in Python. It begins by defining comparison operators like >, <, ==, which return True or False based on relations between operands. Logical operators like and, or, not allow combining conditions and return True/False. Bitwise operators like &, |, ^ manipulate single bits and perform operations like conjunction, disjunction, exclusive or on a bit level. The document provides truth tables and examples to explain the usage and precedence of these different operator types in Python.
The document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if-else, while, for, break, continue, and pass in Python. Key operators and statements are defined with examples to illustrate their usage.
This document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if/elif/else, while loops, for loops, and the break, continue, and pass statements. Key points include:
- Python supports operators for arithmetic, comparison, assignment, logical/relational, conditional, and bitwise operations
- Control structures include if/elif/else conditional execution, while and for iterative loops, and break, continue, and pass statements to control loop behavior
- Loops like while and for allow iterating over sequences with optional else blocks to execute after normal termination
The document discusses various operators and statements in Python. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also discusses control flow statements like if-else, while, for, break, continue, else and pass statements. The key points are:
- Python supports operators like +, -, *, /, % for arithmetic. ==, !=, >, < for comparison. and, or, not for logical operations.
- if-else and nested if-elif-else statements allow conditional execution of code blocks.
- while and for loops iterate over blocks until a condition is met or a sequence is exhausted.
- break and continue can terminate or skip iterations in loops.
The document discusses different types of loops in Python including while loops, for loops, and infinite loops. It provides examples of using while loops to iterate until a condition is met, using for loops to iterate over a set of elements when the number of iterations is known, and how to terminate loops early using break or skip iterations using continue. It also discusses using the range() function to generate a sequence of numbers to iterate over in for loops.
The document discusses different types of selection statements in C including if, if-else, and switch statements. Relational expressions are used to create conditions for if statements and can be combined using logical operators. An if statement executes a statement if a condition is true, while an if-else statement chooses between two statements depending on the condition. Nested if-else statements and switch statements provide multiway selection. Common errors include misusing assignment versus relational operators and failing to use braces with nested if statements.
Operators and expressions are fundamental concepts in Python programming. The document discusses various types of operators used to manipulate operands, including arithmetic, comparison, assignment, logical, bitwise, and membership operators. It also covers expressions, which are combinations of operators and operands that evaluate to a value. Several types of expressions are described, such as constant, arithmetic, integral, floating, relational, logical, bitwise, and combinational expressions. Control flow statements like if, if-else, if-elif-else are also covered, along with looping using for and while loops and the break, continue, and pass statements.
The document discusses various Java control structures including if/else statements, for loops, switch statements, and while/do-while loops. It provides the syntax and flow for each structure and includes examples to demonstrate their usage. Key control structures covered are if/else for conditional execution, for loops for repetitive execution a set number of times, switch statements for evaluating a variable against multiple case values, and while/do-while loops for repetitive execution an unknown number of times until a condition is met.
Java defines several categories of operators: arithmetic, bitwise, relational, logical, and additional special operators. The increment and decrement operators ++ and -- increase or decrease a variable by 1. Relational operators determine the relationship between two operands and return a boolean. Control statements like if-else and switch allow a program to select or loop execution paths. Parentheses can be used to alter operator precedence or clarify complex expressions.
The document discusses various C operators and differences between some key concepts in programming. It covers arithmetic, conditional, increment/decrement operators and their usage. Special operators like sizeof and comma are described. Key differences explained include data vs information, compilers vs interpreters, system vs application software, algorithms vs flowcharts, arrays vs structures, and call by value vs call by reference. Examples are provided to illustrate the usage and differences of these concepts.
This document discusses operators in VB.NET. It defines operators as symbols that perform operations on variables or values. It describes different types of operators such as arithmetic, comparison, logical, bitwise, and assignment operators. It provides examples of common operators like addition, subtraction, equality checks and AND/OR logic. The document also covers operator precedence and how it determines the order of operations.
The document discusses various control flow statements in C++ including relational operators, loops (for, while, do-while), decisions (if, if-else, switch), logical operators, and other statements like break, continue, and goto. It provides examples and explanations of how each statement works, when they should be used, and precedence of operators.
The document discusses various operators and control flow statements in Python. It covers arithmetic, comparison, logical, assignment and membership operators. It also covers if-else conditional statements, while and for loops, and break, continue and pass statements used with loops. The key points are:
- Python supports operators like +, -, *, / etc. for arithmetic and ==, !=, >, < etc. for comparison.
- Control flow statements include if-else for conditional execution, while and for loops for repetition, and break/continue to control loop flow.
- The while loop repeats as long as the condition is true. for loops iterate over sequences like lists, tuples using a loop variable.
Control structures in Python are constructs that enable you to control the flow of execution in your code based on certain conditions or loops. These structures allow you to make decisions, repeat code blocks, and handle exceptions
Control statements allow altering the sequential flow of program execution. There are three main types of control statements in C: conditional statements like if-else that allow branching based on boolean conditions, loop statements like while and for that repeat execution of a block of code a specified number of times, and switch statements that choose among multiple code blocks to execute based on a variable's value. Well-structured programs use control statements to make decisions and repeat tasks to process data efficiently.
The document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if-else, while, for, break, continue, and pass in Python. Key operators and statements are defined with examples to illustrate their usage.
This document discusses various operators and statements in the Python programming language. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also explains control flow statements like if/elif/else, while loops, for loops, and the break, continue, and pass statements. Key points include:
- Python supports operators for arithmetic, comparison, assignment, logical/relational, conditional, and bitwise operations
- Control structures include if/elif/else conditional execution, while and for iterative loops, and break, continue, and pass statements to control loop behavior
- Loops like while and for allow iterating over sequences with optional else blocks to execute after normal termination
The document discusses various operators and statements in Python. It covers arithmetic, comparison, logical, assignment, membership, and bitwise operators. It also discusses control flow statements like if-else, while, for, break, continue, else and pass statements. The key points are:
- Python supports operators like +, -, *, /, % for arithmetic. ==, !=, >, < for comparison. and, or, not for logical operations.
- if-else and nested if-elif-else statements allow conditional execution of code blocks.
- while and for loops iterate over blocks until a condition is met or a sequence is exhausted.
- break and continue can terminate or skip iterations in loops.
The document discusses different types of loops in Python including while loops, for loops, and infinite loops. It provides examples of using while loops to iterate until a condition is met, using for loops to iterate over a set of elements when the number of iterations is known, and how to terminate loops early using break or skip iterations using continue. It also discusses using the range() function to generate a sequence of numbers to iterate over in for loops.
The document discusses different types of selection statements in C including if, if-else, and switch statements. Relational expressions are used to create conditions for if statements and can be combined using logical operators. An if statement executes a statement if a condition is true, while an if-else statement chooses between two statements depending on the condition. Nested if-else statements and switch statements provide multiway selection. Common errors include misusing assignment versus relational operators and failing to use braces with nested if statements.
Operators and expressions are fundamental concepts in Python programming. The document discusses various types of operators used to manipulate operands, including arithmetic, comparison, assignment, logical, bitwise, and membership operators. It also covers expressions, which are combinations of operators and operands that evaluate to a value. Several types of expressions are described, such as constant, arithmetic, integral, floating, relational, logical, bitwise, and combinational expressions. Control flow statements like if, if-else, if-elif-else are also covered, along with looping using for and while loops and the break, continue, and pass statements.
The document discusses various Java control structures including if/else statements, for loops, switch statements, and while/do-while loops. It provides the syntax and flow for each structure and includes examples to demonstrate their usage. Key control structures covered are if/else for conditional execution, for loops for repetitive execution a set number of times, switch statements for evaluating a variable against multiple case values, and while/do-while loops for repetitive execution an unknown number of times until a condition is met.
Java defines several categories of operators: arithmetic, bitwise, relational, logical, and additional special operators. The increment and decrement operators ++ and -- increase or decrease a variable by 1. Relational operators determine the relationship between two operands and return a boolean. Control statements like if-else and switch allow a program to select or loop execution paths. Parentheses can be used to alter operator precedence or clarify complex expressions.
The document discusses various C operators and differences between some key concepts in programming. It covers arithmetic, conditional, increment/decrement operators and their usage. Special operators like sizeof and comma are described. Key differences explained include data vs information, compilers vs interpreters, system vs application software, algorithms vs flowcharts, arrays vs structures, and call by value vs call by reference. Examples are provided to illustrate the usage and differences of these concepts.
This document discusses operators in VB.NET. It defines operators as symbols that perform operations on variables or values. It describes different types of operators such as arithmetic, comparison, logical, bitwise, and assignment operators. It provides examples of common operators like addition, subtraction, equality checks and AND/OR logic. The document also covers operator precedence and how it determines the order of operations.
The document discusses various control flow statements in C++ including relational operators, loops (for, while, do-while), decisions (if, if-else, switch), logical operators, and other statements like break, continue, and goto. It provides examples and explanations of how each statement works, when they should be used, and precedence of operators.
The document discusses various operators and control flow statements in Python. It covers arithmetic, comparison, logical, assignment and membership operators. It also covers if-else conditional statements, while and for loops, and break, continue and pass statements used with loops. The key points are:
- Python supports operators like +, -, *, / etc. for arithmetic and ==, !=, >, < etc. for comparison.
- Control flow statements include if-else for conditional execution, while and for loops for repetition, and break/continue to control loop flow.
- The while loop repeats as long as the condition is true. for loops iterate over sequences like lists, tuples using a loop variable.
Control structures in Python are constructs that enable you to control the flow of execution in your code based on certain conditions or loops. These structures allow you to make decisions, repeat code blocks, and handle exceptions
Control statements allow altering the sequential flow of program execution. There are three main types of control statements in C: conditional statements like if-else that allow branching based on boolean conditions, loop statements like while and for that repeat execution of a block of code a specified number of times, and switch statements that choose among multiple code blocks to execute based on a variable's value. Well-structured programs use control statements to make decisions and repeat tasks to process data efficiently.
The document discusses various types of plots that can be created in MATLAB, including:
1. Standard two-dimensional plots created using the plot command, which connects data points with lines. Additional lines and graphs can be added to the same plot using hold on/off or the line command.
2. Plots with logarithmic axes created using semilogy, semilogx, and loglog for situations where data spans a wide range of values.
3. Formatted plots where elements like titles, labels, legends, grids can be added using various commands.
4. Specialized plots like bar plots, stem plots, and pie charts for different data visualization needs.
5. The ability to place
This document provides an overview of various electrical machines, including transformers, DC machines, induction motors, and universal motors. It discusses the basics of transformer operation, including the principles of electromagnetic induction, transformer construction, EMF equations, losses, efficiency, and applications. It also briefly outlines the construction, principles of operation, back EMF, voltage/power/torque characteristics, and applications of DC machines, as well as the construction, principles, and applications of three-phase induction motors, single-phase induction motors, and universal motors. The document provides details on transformer components and losses, transformation ratios, auto-transformers, and instrument transformers.
This document discusses electromagnetic induction, which occurs when a changing magnetic field induces an electromotive force (emf) in a conductor. It can be caused by moving a conductor through a stationary magnetic field or placing a conductor in a changing magnetic field. The induced emf will generate a current if the conductor forms a closed circuit. Faraday's laws of induction state that an emf is induced whenever the magnetic flux through a circuit changes. The magnitude of the induced emf is proportional to the rate of change of the magnetic flux. Several examples and problems are provided to illustrate these principles.
Here are the answers to the questions on Electromotive Force:
1. Electromotive Force (EMF) is the driving force that causes electric current to flow in a circuit. It is the voltage generated by the source like a battery or generator.
2. EMF Formula: EMF (竜) = Work done (W) / Charge moved (Q)
3. The SI unit of EMF is Volt (V).
4. Potential Difference is the difference in electric potential between two points in a circuit. EMF is the maximum potential difference that can be developed by the source in an ideal condition with zero resistance in the circuit.
5. Yes, EMF can be negative if
This document describes a smart trolley system with automated billing being developed by students at Mbeya University of Science and Technology. Data was collected through observation and interviews on the existing manual billing system. This showed billing time increased with more customers and items. The proposed system will use RFID tags on items and a reader on the trolley to automatically scan items and display the running total. Circuit diagrams and specifications are provided for components like the display unit, RFID module, microcontroller, and power supply that will be used. Flow charts and simulation results demonstrate how adding or removing items updates the displayed total price in real time.
This document provides details about a project to design an automatic metal detection and sorting system. It outlines the project title, participants, methodology for data collection including primary and secondary sources, system components and their specifications, a flow chart, and data analysis. Primary data was collected through personal interviews with engineers at a recycling company to understand their current metal detection system and problems. Secondary data involved researching the hardware and software components needed including the power supply, microcontroller, electromagnet and motor driver.
This project aims to design a semi-automatic water meter to address issues with the existing system like improper water fetching and theft. The objectives are to study the existing mechanical water meter, simulate an electronic circuit, and build a prototype. The scope is for homeowners and water sellers. It will prevent water spilling, record daily liter sales, and send data to the owner. The methodology involves literature review, data collection, analysis, circuit design, simulation, and prototype testing.
This document describes the data collection and analysis process for an automatic control system project. Primary and secondary data were collected through site visits, questionnaires, and literature reviews. Primary data included device specifications from a sample resident. Secondary data provided component information. The collected data was analyzed to select appropriate components including a PIC microcontroller, LCD, voltage regulator, temperature sensor, PIR sensor, LED, and power supply. Calculations were performed to determine component values and ratings based on the design requirements and specifications.
The document discusses entering matrices in MATLAB. It explains that a matrix is entered using square brackets with elements separated by spaces or commas within each row and semicolons between rows. Once entered, the matrix is stored in the workspace. It also describes how to find specific elements of a matrix, extract submatrices, determine matrix dimensions, transpose a matrix, concatenate matrices, and perform basic arithmetic operations on matrices.
This document provides an overview of mathematical functions and plotting in MATLAB. It discusses:
- The many predefined mathematical functions available in MATLAB, such as sin, cos, and exp.
- How to generate vectors and matrices for input.
- How to perform basic plotting of data and functions using commands like plot and linspace.
- How to customize plots by adding titles, labels, and changing colors.
- Matrix operations in MATLAB like transposes, inverses, concatenation and arithmetic operations.
Magnetic circuits can be analyzed using simplifying assumptions to obtain useful engineering solutions, even though exact solutions to Maxwell's equations are often unattainable in practice. Maxwell's equations describe magnetic fields but require constitutive relationships to account for material properties. Simplified analyses allow engineers to attain practical solutions for most situations of interest.
This document discusses electromagnetic induction, which occurs when a changing magnetic field induces an electromotive force (emf) in a conductor. It can be caused by moving a conductor through a stationary magnetic field or placing a conductor in a changing magnetic field. The induced emf will generate a current if the conductor forms a closed circuit. Faraday's laws of induction state that an emf is induced whenever the magnetic flux through a circuit changes. The magnitude of the induced emf is proportional to the rate of change of the magnetic flux. Several examples and problems are provided to demonstrate how to calculate induced emf and inductance.
This document discusses different types of DC generators. It begins by deriving the equation for the generated emf of a DC generator based on factors like flux, number of armature conductors, poles, winding type, and speed. It then discusses armature resistance and types of generators classified by their excitation method - separately excited or self-excited generators which can be shunt, series, or compound wound. Brush contact drop is also explained. Examples are given to calculate generated emf and current values.
This document discusses the different characteristics of DC generators, including open circuit characteristics (OCC), internal characteristics, and external characteristics. The OCC shows the relationship between generated emf and field current with no load. The internal characteristic shows the relationship between generated emf and armature current. The external characteristic shows the relationship between terminal voltage and load current. Separately excited, series, shunt, and compound DC generators each have different characteristics based on how their field windings are connected.
How to Build a Maze Solving Robot Using ArduinoCircuitDigest
油
Learn how to make an Arduino-powered robot that can navigate mazes on its own using IR sensors and "Hand on the wall" algorithm.
This step-by-step guide will show you how to build your own maze-solving robot using Arduino UNO, three IR sensors, and basic components that you can easily find in your local electronics shop.
Optimization of Cumulative Energy, Exergy Consumption and Environmental Life ...J. Agricultural Machinery
油
Optimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. Exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in Lorestan province, Iran. The required data were collected from farmers in Lorestan province using random sampling. The Cobb-Douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (CEnC and CExC) and devising strategies to mitigate the environmental impacts of corn production. The Cobb-Douglas equation results revealed that electricity, diesel fuel, and N-fertilizer were the major contributors to CExC in the corn production system. According to the Data Envelopment Analysis (DEA) results, the average efficiency of all farms in terms of CExC was 94.7% in the CCR model and 97.8% in the BCC model. Furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. By adopting more suitable methods based on DEA of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively.
Best KNow Hydrogen Fuel Production in the World The cost in USD kwh for H2Daniel Donatelli
油
The cost in USD/kwh for H2
Daniel Donatelli
Secure Supplies Group
Index
Introduction - Page 3
The Need for Hydrogen Fueling - Page 5
Pure H2 Fueling Technology - Page 7
Blend Gas Fueling: A Transition Strategy - Page 10
Performance Metrics: H2 vs. Fossil Fuels - Page 12
Cost Analysis and Economic Viability - Page 15
Innovations Driving Leadership - Page 18
Laminar Flame Speed Adjustment
Heat Management Systems
The Donatelli Cycle
Non-Carnot Cycle Applications
Case Studies and Real-World Applications - Page 22
Conclusion: Secure Supplies Leadership in Hydrogen Fueling - Page 27
This PPT covers the index and engineering properties of soil. It includes details on index properties, along with their methods of determination. Various important terms related to soil behavior are explained in detail. The presentation also outlines the experimental procedures for determining soil properties such as water content, specific gravity, plastic limit, and liquid limit, along with the necessary calculations and graph plotting. Additionally, it provides insights to understand the importance of these properties in geotechnical engineering applications.
Preface: The ReGenX Generator innovation operates with a US Patented Frequency Dependent Load Current Delay which delays the creation and storage of created Electromagnetic Field Energy around the exterior of the generator coil. The result is the created and Time Delayed Electromagnetic Field Energy performs any magnitude of Positive Electro-Mechanical Work at infinite efficiency on the generator's Rotating Magnetic Field, increasing its Kinetic Energy and increasing the Kinetic Energy of an EV or ICE Vehicle to any magnitude without requiring any Externally Supplied Input Energy. In Electricity Generation applications the ReGenX Generator innovation now allows all electricity to be generated at infinite efficiency requiring zero Input Energy, zero Input Energy Cost, while producing zero Greenhouse Gas Emissions, zero Air Pollution and zero Nuclear Waste during the Electricity Generation Phase. In Electric Motor operation the ReGen-X Quantum Motor now allows any magnitude of Work to be performed with zero Electric Input Energy.
Demonstration Protocol: The demonstration protocol involves three prototypes;
1. Protytpe #1, demonstrates the ReGenX Generator's Load Current Time Delay when compared to the instantaneous Load Current Sine Wave for a Conventional Generator Coil.
2. In the Conventional Faraday Generator operation the created Electromagnetic Field Energy performs Negative Work at infinite efficiency and it reduces the Kinetic Energy of the system.
3. The Magnitude of the Negative Work / System Kinetic Energy Reduction (in Joules) is equal to the Magnitude of the created Electromagnetic Field Energy (also in Joules).
4. When the Conventional Faraday Generator is placed On-Load, Negative Work is performed and the speed of the system decreases according to Lenz's Law of Induction.
5. In order to maintain the System Speed and the Electric Power magnitude to the Loads, additional Input Power must be supplied to the Prime Mover and additional Mechanical Input Power must be supplied to the Generator's Drive Shaft.
6. For example, if 100 Watts of Electric Power is delivered to the Load by the Faraday Generator, an additional >100 Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
7. If 1 MW of Electric Power is delivered to the Load by the Faraday Generator, an additional >1 MW Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the Prime Mover.
8. Generally speaking the ratio is 2 Watts of Mechanical Input Power to every 1 Watt of Electric Output Power generated.
9. The increase in Drive Shaft Mechanical Input Power is provided by the Prime Mover and the Input Energy Source which powers the Prime Mover.
10. In the Heins ReGenX Generator operation the created and Time Delayed Electromagnetic Field Energy performs Positive Work at infinite efficiency and it increases the Kinetic Energy of the system.
Preface: The ReGenX Generator innovation operates with a US Patented Frequency Dependent Load
Current Delay which delays the creation and storage of created Electromagnetic Field Energy around
the exterior of the generator coil. The result is the created and Time Delayed Electromagnetic Field
Energy performs any magnitude of Positive Electro-Mechanical Work at infinite efficiency on the
generator's Rotating Magnetic Field, increasing its Kinetic Energy and increasing the Kinetic Energy of
an EV or ICE Vehicle to any magnitude without requiring any Externally Supplied Input Energy. In
Electricity Generation applications the ReGenX Generator innovation now allows all electricity to be
generated at infinite efficiency requiring zero Input Energy, zero Input Energy Cost, while producing
zero Greenhouse Gas Emissions, zero Air Pollution and zero Nuclear Waste during the Electricity
Generation Phase. In Electric Motor operation the ReGen-X Quantum Motor now allows any
magnitude of Work to be performed with zero Electric Input Energy.
Demonstration Protocol: The demonstration protocol involves three prototypes;
1. Protytpe #1, demonstrates the ReGenX Generator's Load Current Time Delay when compared
to the instantaneous Load Current Sine Wave for a Conventional Generator Coil.
2. In the Conventional Faraday Generator operation the created Electromagnetic Field Energy
performs Negative Work at infinite efficiency and it reduces the Kinetic Energy of the system.
3. The Magnitude of the Negative Work / System Kinetic Energy Reduction (in Joules) is equal to
the Magnitude of the created Electromagnetic Field Energy (also in Joules).
4. When the Conventional Faraday Generator is placed On-Load, Negative Work is performed and
the speed of the system decreases according to Lenz's Law of Induction.
5. In order to maintain the System Speed and the Electric Power magnitude to the Loads,
additional Input Power must be supplied to the Prime Mover and additional Mechanical Input
Power must be supplied to the Generator's Drive Shaft.
6. For example, if 100 Watts of Electric Power is delivered to the Load by the Faraday Generator,
an additional >100 Watts of Mechanical Input Power must be supplied to the Generator's Drive
Shaft by the Prime Mover.
7. If 1 MW of Electric Power is delivered to the Load by the Faraday Generator, an additional >1
MW Watts of Mechanical Input Power must be supplied to the Generator's Drive Shaft by the
Prime Mover.
8. Generally speaking the ratio is 2 Watts of Mechanical Input Power to every 1 Watt of Electric
Output Power generated.
9. The increase in Drive Shaft Mechanical Input Power is provided by the Prime Mover and the
Input Energy Source which powers the Prime Mover.
10. In the Heins ReGenX Generator operation the created and Time Delayed Electromagnetic Field
Energy performs Positive Work at infinite efficiency and it increases the Kinetic Energy of the
system.
2. Introduction
o A computer program is a sequence of computer commands. In
a simple program the commands are executed one after the other
in the order they are typed
o MATLAB is also a programming language. Like other computer
programming languages, MATLAB has some decision making
structures for control of command execution
o These decision making or control flow structures include for
loops, while loops, and if-else-end constructions
3. Introduction
o Control flow structures are often used in script M-files and
function M-files
o By creating a file with the extension .m, we can easily write and
run programs
o We do not need to compile the program since MATLAB is an
interpretative (not compiled) language
4. Relational and logical operators
o A relational operator compares two numbers by determining
whether a comparison is true or false
Relational operators
< : Less than
> : Greater than
<= : Less than or equal to
>= : Greater than or equal to
= = : Equal to
~= : Not Equal to
5. Cont.. .
Relational operators are used as arithmetic operators within a
mathematical expression. The result can be used in other
mathematical operations, in addressing arrays, and together
with other MATLAB commands (e.g., if) to control the flow of a
program
When two numbers are compared, the result is 1 (logical true) if
the comparison, according to the relational operator, is true, and
0 (logical false) if the comparison is false
6. Cont.. .
If two scalars are compared, the result is a scalar 1 or 0
If two arrays are compared (only arrays of the same size can be
compared), the comparison is done element-by-element, and
the result is a logical array of the same size with 1s and 0s
according to the outcome of the comparison at each address
If a scalar is compared with an array, the scalar is compared
with every element of the array, and the result is a logical
array with 1s and 0s according to the outcome of the
comparison of each element
7. Logical operators
AND (&)
Example: A&B
and(A,B)
Operates on two operands (A and B). If both are
true, the result is true (1); otherwise the result Is
false (0)
OR (|)
Example: A|B
or(A,B)
Operates on two operands (A and B). If either
one, or both, are true, the result is true (1);
otherwise (both are false) the result is false (0)
NOT (~)
Example: ~A
not(A)
Operates on one operand (A). Gives the opposite
of the operand; true (1) if the operand is false, and
false (0) if the operand is true
8. Cont.. .
Logical operators have numbers as operands. A nonzero number
is true, and a zero number is false
Logical operators (like relational operators) can be used with
scalars and arrays
9. Logical built-in functions
xor(a,b) Exclusive or. Returns true (1) if one operand is true and
the other is false
all(A) Returns 1 (true) if all elements in a vector A are true
(non- zero). Returns 0 (false) if one or more elements are
false (zero).If A is a matrix, treats columns of A as
vectors, and returns a vector with 1s and 0s
any(A) Returns 1 (true) if any element in a vector A is true
(nonzero). Returns 0 (false) if all elements are false
(zero). If A is a matrix, treats columns of A as vectors,
and returns a vector with 1s and 0s
find(A) If A is a vector, returns the indices of the nonzero
elements
find(A>d) If A is a vector, returns the address of the elements that
are larger than d (any relational operator can be used)
10. Summary
INPUT OUTPUT
A B AND
A&B
OR
A|B
XOR
(A,B)
NOT
~A
NOT
~B
false false false false false true true
false true false true true true false
true false false true true false true
true true true true false false false
11. Conditional Statement and Loops
o In MATLAB, loops and conditional statements are control
statements that allow programmers to execute code
repeatedly or conditionally, and control the flow of a
program
o Control flow is determined by control structures
o Control structure determines what gets executed
12. MATLAB CONTROL STRUCTURES
o MATLAB has four control structures
o two for deciding between alternatives
- if statements
- switch statements
o two for repeating (looping or iteration)
- while loops
- for loops
o MATLAB also has implicit loops over arrays
13. The if-end structure
o An if statement runs the body when the condition is
true
o if statement are of form
if <condition>
<body>
end
if and end are keywords (cant be used as variables)
14. Cont.. ..
<condition> is a logical expression which can be
evaluated to true or false
<body> is the body of the if statement
One or more statements
Only executed when the condition evaluates to true
15. The if-else-end Structure
an else clause can be run if the condition is false
if <condition>
<true-body>
else
<false-body>
end
else is also a keyword
<false-body> is run when the condition is false
16. The if-elseif-else-end Structure
the general scheme looks like
if <condition1>
<true-body1>
elseif<condition2>
<true-body2>
else
<false-body>
end
where the elseif and else clauses are optional
and the elseif clause can be repeated for more conditions
17. Example
A worker is paid according to his hourly wage up to 40
hours, and 50% more for overtime. Write a program in a
script file that calculates the pay to a worker. The program
asks the user to enter the number of hours and the hourly
wage. The program then displays the pay
19. for-end Loops
for loops simplify looping over arrays
for loops iterate over each element of an array or
range
for <variable> = <array>
<body>
end
<body> is run once for each element of the array
21. Ex.3
variable m is assigned the value 75, then 80, then 71
after each time m is assigned, the for loop body is run
23. Nested for loop
o when we need the index, loop over 1:length(A)
o for example, to find the index of the maximum in values:
24. while loop
o a while loop repeats the body while the condition stays true
o the general scheme looks very similar to an if statement
while <condition>
<body>
end
while and end are keywords
when <condition> is false the loop will not execute again
25. Cont.. .
a while loop repeats the following steps
- first, evaluating the conditional expression
- if the condition is true, run the body
- if the condition is false, jump to the statement after the
body
an iteration is a single execution of the body
the condition is evaluated before each iteration begins
sometimes the body may never get executed
27. Note !!!
not updating the loop variable is a common mistake
what happens when we run this program?
you can stop the infinite loop by pressing control c
x is never updated in the body, so it stays at 1
the condition is never false, the loop never stops!
29. Cont.. .
the length function returns the length of a vector
the loop variable i ranges from 1 up to 6
single letter loop variable, especially i, j, and k are common