This document summarizes key concepts from Chapter 2 - Part 1 of a textbook on logic and computer design fundamentals. It introduces binary logic, Boolean algebra, and canonical forms for representing combinational logic circuits. Specifically, it defines logic gates, binary variables, logical operators, truth tables, and Boolean expressions. It also covers Boolean identities and algebraic manipulation. Finally, it describes how to represent functions using sums of minterms and products of maxterms in canonical form.
This document provides an overview of combinational logic circuits and Boolean algebra. It discusses binary logic, logic gates, Boolean expressions, canonical forms such as sum of minterms and product of maxterms, and other concepts relevant to combinational logic design. Key topics covered include binary variables, logical operations, truth tables, logic gate symbols and behavior, Boolean algebra identities, simplifying Boolean expressions, and representing functions in canonical forms.
This document provides an overview of Boolean algebra and logic gates. It discusses basic logic gates like AND, OR, and NOT. It also covers other logic operations like NAND, NOR, EXOR and EXNOR. The document defines Boolean algebra and its postulates. It explains logic levels, positive and negative logic. It also discusses simplification of Boolean expressions, canonical and standard forms, and the use of Venn diagrams and minterms. The key topics covered are the basic concepts of Boolean algebra and digital logic that form the foundation for working with logic gates and circuits.
Boolean algebra can be used to simplify digital circuit expressions. A Boolean function can be represented as either a Boolean expression or a truth table. There are two main methods to convert between these representations: (1) using a sum of products to get a Boolean expression from a truth table by including all variable combinations that evaluate to 1, and (2) using a product of sums to get a Boolean expression by including all variable combinations that evaluate to 0.
Boolean algebra can be used to simplify digital circuit expressions. A Boolean function can be represented as either a logical expression using AND, OR, and NOT operators or as a truth table. There are standard methods to convert between these representations, such as using sums of minterms or products of maxterms. Boolean algebra postulates and theorems allow logical expressions to be simplified in ways that result in equivalent but simpler circuits.
The document discusses the objectives and concepts of Boolean algebra. It aims to make students familiar with the first 12 laws and theorems of Boolean algebra and how to apply them. This includes manipulating algebraic expressions using operations like multiplying out sums of products and factoring products of sums. It also discusses how the basic operations of Boolean algebra like AND, OR, and complement relate to both logic gate circuits and switch circuits. Truth tables are introduced as a way to represent Boolean expressions and their relationships to logic circuits.
- Boolean algebra uses binary values (1/0) to represent true/false in digital circuits.
- The basic Boolean operations are AND, OR, and NOT. Truth tables and Boolean expressions can both be used to represent the functions of circuits.
- Boolean expressions can be simplified using algebraic rules like commutative, distributive, DeMorgan's, and absorption laws. This allows simpler circuit implementations.
Logic circuits are the basis of digital computer systems and operate using binary logic and Boolean algebra. Binary logic uses variables that can only have two values, 1 or 0, and logical operations on these variables. There are three basic logical operations: AND, OR, and NOT. Logic gates are electronic circuits that perform logical operations on inputs and produce an output. Boolean algebra uses rules and properties to describe logical relationships between binary variables. Logisim is a digital design tool that can be used to design and simulate logic circuits.
This document discusses logic circuits and how logic expressions are represented using logic gates. It covers basic logical operators like AND, OR, and NOT. Truth tables are used to define the behavior of each logic gate and how they combine input values. Logic functions can be implemented using switches and gates. Diagrams and equations are used to represent complex logic expressions.
The document discusses different digital logic components including logic gates, flip flops, registers, and counters. It describes the basic types of logic gates such as AND, OR, NOT, NAND, and NOR gates. It also discusses different types of flip flops including T, S-R, J-K, and D flip flops which are used to store binary data. Registers are formed using groups of flip flops to store multi-bit data. Counters are also discussed as another component of digital logic systems.
- Boolean algebra uses binary numbers (0 and 1) and logical operations (AND, OR, NOT) to analyze and simplify digital circuits.
- It was invented by George Boole in 1854 and represents variables that can be either 1 or 0.
- The document discusses Boolean operations, laws, logic gates, minimization techniques, and representing functions as sums of products.
Digital logic is based on the binary number system of 0s and 1s. This two-valued logic system allows statements to be either true or false. One reason for using binary is that electronic circuits can be designed to reliably represent and switch between two states. There are two classes of digital logic - combinational logic, where outputs depend only on current inputs, and sequential logic, where outputs also depend on prior states. Basic logic gates like AND, OR, and NOT are used to combine input signals in circuits. The Karnaugh map provides a visual method to simplify Boolean logic expressions by grouping adjacent ones to minimize variables.
The document discusses Boolean algebra and logic gates. It begins with an introduction to Boolean algebra and how it provides a mathematical framework for digital electronic systems. It then covers topics such as Boolean variables, expressions, logic gates like AND, OR, NOT, NAND, NOR, XOR and XNOR. It defines Boolean functions and discusses ways of representing functions using truth tables, logic diagrams and algebraic expressions. It also covers concepts like positive and negative logic, postulates and theorems of Boolean algebra, Venn diagrams, canonical and standard forms of logic functions including sum of products and product of sums forms.
This document provides an overview of a digital system design course, including its units and textbooks. The first unit covers Boolean algebra and minimization techniques. Boolean algebra is defined using variables that can have two values, like true/false or 1/0 in digital systems. Boolean functions use operators like AND, OR, and NOT to manipulate variables. Truth tables and identities like De Morgan's law are discussed. Common logic gates like AND, OR, NOT, NAND, and NOR are also introduced, which implement Boolean functions in digital circuits.
1. The document covers topics in Boolean algebra and logic gates.
2. Boolean algebra uses binary variables that take values of 0 and 1 and logical operators to manipulate binary information in logic circuits and logic gates.
3. The three basic logical operations are AND, OR, and NOT and logic gates provide a hardware implementation of these operations through their input-output relationships.
18 pc09 1.2_ digital logic gates _ boolean algebra_basic theoremsarunachalamr16
Digital logic gates are basic building blocks of digital circuits that make logical decisions based on input combinations. There are three basic logic gates: OR, AND, and NOT. Other common gates such as NAND, NOR, XOR, and XNOR are derived from these. Boolean algebra uses variables that can be 1 or 0, and logical operators like AND, OR, and NOT to represent logic functions. Logic functions can be expressed in canonical forms such as sum of minterms or product of maxterms. Standard forms like SOP and POS are also used. Conversions between these forms allow simplifying logic functions.
This document provides an overview of logic gates, Boolean algebra, and digital circuits. It defines basic logic gates like AND, OR, and NOT. It introduces Boolean algebra concepts such as binary variables, algebraic manipulation using laws and theorems, and canonical forms. Standard logic implementations including sum of products, product of sums, and universal gates using NAND and NOR are discussed. De Morgan's theorems and their application to logic gate equivalents are also covered.
This document discusses binary operations and Boolean logic. It defines binary operations like addition, subtraction, multiplication and division. It then explains Boolean logic operations such as NOT, AND and OR. Boolean variables can only have binary values of 0 or 1. Truth tables are provided to show the output for each Boolean logic operation based on all possible input combinations. Examples of Boolean logic expressions and their corresponding truth tables are also given.
1. Boolean algebra is a mathematical system used to specify and transform logic functions. It uses binary variables that take on values of 1 or 0 and logical operators like AND, OR, and NOT.
2. Logic gates implement logic functions physically using electronic components. Common gates are AND, OR, and NOT. Gates have a small but nonzero delay between input change and output change.
3. Boolean expressions can be represented using truth tables, logic diagrams, or algebraic expressions. Standard forms include sum-of-minterms and product-of-maxterms forms.
This document provides an overview of Boolean algebra and logic gates. It discusses basic logic gates like AND, OR, and NOT. It also covers other logic operations like NAND, NOR, EXOR and EXNOR. The document defines Boolean algebra and its postulates. It explains logic levels, positive and negative logic. It also discusses simplification of Boolean expressions, canonical and standard forms, and the use of Venn diagrams and minterms. The key topics covered are the basic concepts of Boolean algebra and digital logic that form the foundation for working with logic gates and circuits.
Boolean algebra can be used to simplify digital circuit expressions. A Boolean function can be represented as either a Boolean expression or a truth table. There are two main methods to convert between these representations: (1) using a sum of products to get a Boolean expression from a truth table by including all variable combinations that evaluate to 1, and (2) using a product of sums to get a Boolean expression by including all variable combinations that evaluate to 0.
Boolean algebra can be used to simplify digital circuit expressions. A Boolean function can be represented as either a logical expression using AND, OR, and NOT operators or as a truth table. There are standard methods to convert between these representations, such as using sums of minterms or products of maxterms. Boolean algebra postulates and theorems allow logical expressions to be simplified in ways that result in equivalent but simpler circuits.
The document discusses the objectives and concepts of Boolean algebra. It aims to make students familiar with the first 12 laws and theorems of Boolean algebra and how to apply them. This includes manipulating algebraic expressions using operations like multiplying out sums of products and factoring products of sums. It also discusses how the basic operations of Boolean algebra like AND, OR, and complement relate to both logic gate circuits and switch circuits. Truth tables are introduced as a way to represent Boolean expressions and their relationships to logic circuits.
- Boolean algebra uses binary values (1/0) to represent true/false in digital circuits.
- The basic Boolean operations are AND, OR, and NOT. Truth tables and Boolean expressions can both be used to represent the functions of circuits.
- Boolean expressions can be simplified using algebraic rules like commutative, distributive, DeMorgan's, and absorption laws. This allows simpler circuit implementations.
Logic circuits are the basis of digital computer systems and operate using binary logic and Boolean algebra. Binary logic uses variables that can only have two values, 1 or 0, and logical operations on these variables. There are three basic logical operations: AND, OR, and NOT. Logic gates are electronic circuits that perform logical operations on inputs and produce an output. Boolean algebra uses rules and properties to describe logical relationships between binary variables. Logisim is a digital design tool that can be used to design and simulate logic circuits.
This document discusses logic circuits and how logic expressions are represented using logic gates. It covers basic logical operators like AND, OR, and NOT. Truth tables are used to define the behavior of each logic gate and how they combine input values. Logic functions can be implemented using switches and gates. Diagrams and equations are used to represent complex logic expressions.
The document discusses different digital logic components including logic gates, flip flops, registers, and counters. It describes the basic types of logic gates such as AND, OR, NOT, NAND, and NOR gates. It also discusses different types of flip flops including T, S-R, J-K, and D flip flops which are used to store binary data. Registers are formed using groups of flip flops to store multi-bit data. Counters are also discussed as another component of digital logic systems.
- Boolean algebra uses binary numbers (0 and 1) and logical operations (AND, OR, NOT) to analyze and simplify digital circuits.
- It was invented by George Boole in 1854 and represents variables that can be either 1 or 0.
- The document discusses Boolean operations, laws, logic gates, minimization techniques, and representing functions as sums of products.
Digital logic is based on the binary number system of 0s and 1s. This two-valued logic system allows statements to be either true or false. One reason for using binary is that electronic circuits can be designed to reliably represent and switch between two states. There are two classes of digital logic - combinational logic, where outputs depend only on current inputs, and sequential logic, where outputs also depend on prior states. Basic logic gates like AND, OR, and NOT are used to combine input signals in circuits. The Karnaugh map provides a visual method to simplify Boolean logic expressions by grouping adjacent ones to minimize variables.
The document discusses Boolean algebra and logic gates. It begins with an introduction to Boolean algebra and how it provides a mathematical framework for digital electronic systems. It then covers topics such as Boolean variables, expressions, logic gates like AND, OR, NOT, NAND, NOR, XOR and XNOR. It defines Boolean functions and discusses ways of representing functions using truth tables, logic diagrams and algebraic expressions. It also covers concepts like positive and negative logic, postulates and theorems of Boolean algebra, Venn diagrams, canonical and standard forms of logic functions including sum of products and product of sums forms.
This document provides an overview of a digital system design course, including its units and textbooks. The first unit covers Boolean algebra and minimization techniques. Boolean algebra is defined using variables that can have two values, like true/false or 1/0 in digital systems. Boolean functions use operators like AND, OR, and NOT to manipulate variables. Truth tables and identities like De Morgan's law are discussed. Common logic gates like AND, OR, NOT, NAND, and NOR are also introduced, which implement Boolean functions in digital circuits.
1. The document covers topics in Boolean algebra and logic gates.
2. Boolean algebra uses binary variables that take values of 0 and 1 and logical operators to manipulate binary information in logic circuits and logic gates.
3. The three basic logical operations are AND, OR, and NOT and logic gates provide a hardware implementation of these operations through their input-output relationships.
18 pc09 1.2_ digital logic gates _ boolean algebra_basic theoremsarunachalamr16
Digital logic gates are basic building blocks of digital circuits that make logical decisions based on input combinations. There are three basic logic gates: OR, AND, and NOT. Other common gates such as NAND, NOR, XOR, and XNOR are derived from these. Boolean algebra uses variables that can be 1 or 0, and logical operators like AND, OR, and NOT to represent logic functions. Logic functions can be expressed in canonical forms such as sum of minterms or product of maxterms. Standard forms like SOP and POS are also used. Conversions between these forms allow simplifying logic functions.
This document provides an overview of logic gates, Boolean algebra, and digital circuits. It defines basic logic gates like AND, OR, and NOT. It introduces Boolean algebra concepts such as binary variables, algebraic manipulation using laws and theorems, and canonical forms. Standard logic implementations including sum of products, product of sums, and universal gates using NAND and NOR are discussed. De Morgan's theorems and their application to logic gate equivalents are also covered.
This document discusses binary operations and Boolean logic. It defines binary operations like addition, subtraction, multiplication and division. It then explains Boolean logic operations such as NOT, AND and OR. Boolean variables can only have binary values of 0 or 1. Truth tables are provided to show the output for each Boolean logic operation based on all possible input combinations. Examples of Boolean logic expressions and their corresponding truth tables are also given.
1. Boolean algebra is a mathematical system used to specify and transform logic functions. It uses binary variables that take on values of 1 or 0 and logical operators like AND, OR, and NOT.
2. Logic gates implement logic functions physically using electronic components. Common gates are AND, OR, and NOT. Gates have a small but nonzero delay between input change and output change.
3. Boolean expressions can be represented using truth tables, logic diagrams, or algebraic expressions. Standard forms include sum-of-minterms and product-of-maxterms forms.
David Boutry - Specializes In AWS, Microservices And Python.pdfDavid Boutry
With over eight years of experience, David Boutry specializes in AWS, microservices, and Python. As a Senior Software Engineer in New York, he spearheaded initiatives that reduced data processing times by 40%. His prior work in Seattle focused on optimizing e-commerce platforms, leading to a 25% sales increase. David is committed to mentoring junior developers and supporting nonprofit organizations through coding workshops and software development.
The TRB AJE35 RIIM Coordination and Collaboration Subcommittee has organized a series of webinars focused on building coordination, collaboration, and cooperation across multiple groups. All webinars have been recorded and copies of the recording, transcripts, and slides are below. These resources are open-access following creative commons licensing agreements. The files may be found, organized by webinar date, below. The committee co-chairs would welcome any suggestions for future webinars. The support of the AASHTO RAC Coordination and Collaboration Task Force, the Council of University Transportation Centers, and AUTRI’s Alabama Transportation Assistance Program is gratefully acknowledged.
This webinar overviews proven methods for collaborating with USDOT University Transportation Centers (UTCs), emphasizing state departments of transportation and other stakeholders. It will cover partnerships at all UTC stages, from the Notice of Funding Opportunity (NOFO) release through proposal development, research and implementation. Successful USDOT UTC research, education, workforce development, and technology transfer best practices will be highlighted. Dr. Larry Rilett, Director of the Auburn University Transportation Research Institute will moderate.
For more information, visit: https://aub.ie/trbwebinars
In this paper, the cost and weight of the reinforcement concrete cantilever retaining wall are optimized using Gases Brownian Motion Optimization Algorithm (GBMOA) which is based on the gas molecules motion. To investigate the optimization capability of the GBMOA, two objective functions of cost and weight are considered and verification is made using two available solutions for retaining wall design. Furthermore, the effect of wall geometries of retaining walls on their cost and weight is investigated using four different T-shape walls. Besides, sensitivity analyses for effects of backfill slope, stem height, surcharge, and backfill unit weight are carried out and of soil. Moreover, Rankine and Coulomb methods for lateral earth pressure calculation are used and results are compared. The GBMOA predictions are compared with those available in the literature. It has been shown that the use of GBMOA results in reducing significantly the cost and weight of retaining walls. In addition, the Coulomb lateral earth pressure can reduce the cost and weight of retaining walls.
This research is oriented towards exploring mode-wise corridor level travel-time estimation using Machine learning techniques such as Artificial Neural Network (ANN) and Support Vector Machine (SVM). Authors have considered buses (equipped with in-vehicle GPS) as the probe vehicles and attempted to calculate the travel-time of other modes such as cars along a stretch of arterial roads. The proposed study considers various influential factors that affect travel time such as road geometry, traffic parameters, location information from the GPS receiver and other spatiotemporal parameters that affect the travel-time. The study used a segment modeling method for segregating the data based on identified bus stop locations. A k-fold cross-validation technique was used for determining the optimum model parameters to be used in the ANN and SVM models. The developed models were tested on a study corridor of 59.48 km stretch in Mumbai, India. The data for this study were collected for a period of five days (Monday-Friday) during the morning peak period (from 8.00 am to 11.00 am). Evaluation scores such as MAPE (mean absolute percentage error), MAD (mean absolute deviation) and RMSE (root mean square error) were used for testing the performance of the models. The MAPE values for ANN and SVM models are 11.65 and 10.78 respectively. The developed model is further statistically validated using the Kolmogorov-Smirnov test. The results obtained from these tests proved that the proposed model is statistically valid.
Jacob Murphy Australia - Excels In Optimizing Software ApplicationsJacob Murphy Australia
In the world of technology, Jacob Murphy Australia stands out as a Junior Software Engineer with a passion for innovation. Holding a Bachelor of Science in Computer Science from Columbia University, Jacob's forte lies in software engineering and object-oriented programming. As a Freelance Software Engineer, he excels in optimizing software applications to deliver exceptional user experiences and operational efficiency. Jacob thrives in collaborative environments, actively engaging in design and code reviews to ensure top-notch solutions. With a diverse skill set encompassing Java, C++, Python, and Agile methodologies, Jacob is poised to be a valuable asset to any software development team.
Construction Materials (Paints) in Civil EngineeringLavish Kashyap
This file will provide you information about various types of Paints in Civil Engineering field under Construction Materials.
It will be very useful for all Civil Engineering students who wants to search about various Construction Materials used in Civil Engineering field.
Paint is a vital construction material used for protecting surfaces and enhancing the aesthetic appeal of buildings and structures. It consists of several components, including pigments (for color), binders (to hold the pigment together), solvents or thinners (to adjust viscosity), and additives (to improve properties like durability and drying time).
Paint is one of the material used in Civil Engineering field. It is especially used in final stages of construction project.
Paint plays a dual role in construction: it protects building materials and contributes to the overall appearance and ambiance of a space.
Optimization techniques can be divided to two groups: Traditional or numerical methods and methods based on stochastic. The essential problem of the traditional methods, that by searching the ideal variables are found for the point that differential reaches zero, is staying in local optimum points, can not solving the non-linear non-convex problems with lots of constraints and variables, and needs other complex mathematical operations such as derivative. In order to satisfy the aforementioned problems, the scientists become interested on meta-heuristic optimization techniques, those are classified into two essential kinds, which are single and population-based solutions. The method does not require unique knowledge to the problem. By general knowledge the optimal solution can be achieved. The optimization methods based on population can be divided into 4 classes from inspiration point of view and physical based optimization methods is one of them. Physical based optimization algorithm: that the physical rules are used for updating the solutions are:, Lighting Attachment Procedure Optimization (LAPO), Gravitational Search Algorithm (GSA) Water Evaporation Optimization Algorithm, Multi-Verse Optimizer (MVO), Galaxy-based Search Algorithm (GbSA), Small-World Optimization Algorithm (SWOA), Black Hole (BH) algorithm, Ray Optimization (RO) algorithm, Artificial Chemical Reaction Optimization Algorithm (ACROA), Central Force Optimization (CFO) and Charged System Search (CSS) are some of physical methods. In this paper physical and physic-chemical phenomena based optimization methods are discuss and compare with other optimization methods. Some examples of these methods are shown and results compared with other well known methods. The physical phenomena based methods are shown reasonable results.
Newly poured concrete opposing hot and windy conditions is considerably susceptible to plastic shrinkage cracking. Crack-free concrete structures are essential in ensuring high level of durability and functionality as cracks allow harmful instances or water to penetrate in the concrete resulting in structural damages, e.g. reinforcement corrosion or pressure application on the crack sides due to water freezing effect. Among other factors influencing plastic shrinkage, an important one is the concrete surface humidity evaporation rate. The evaporation rate is currently calculated in practice by using a quite complex Nomograph, a process rather tedious, time consuming and prone to inaccuracies. In response to such limitations, three analytical models for estimating the evaporation rate are developed and evaluated in this paper on the basis of the ACI 305R-10 Nomograph for “Hot Weather Concreting”. In this direction, several methods and techniques are employed including curve fitting via Genetic Algorithm optimization and Artificial Neural Networks techniques. The models are developed and tested upon datasets from two different countries and compared to the results of a previous similar study. The outcomes of this study indicate that such models can effectively re-develop the Nomograph output and estimate the concrete evaporation rate with high accuracy compared to typical curve-fitting statistical models or models from the literature. Among the proposed methods, the optimization via Genetic Algorithms, individually applied at each estimation process step, provides the best fitting result.
Design of Variable Depth Single-Span Post.pdfKamel Farid
Hunched Single Span Bridge: -
(HSSBs) have maximum depth at ends and minimum depth at midspan.
Used for long-span river crossings or highway overpasses when:
Aesthetically pleasing shape is required or
Vertical clearance needs to be maximized
3. Chapter 1 3
Binary Logic and Gates
Binary variables take on one of two values.
Logical operators operate on binary values and
binary variables.
Basic logical operators are the logic functions
AND, OR and NOT.
Logic gates implement logic functions.
Boolean Algebra: a useful mathematical system
for specifying and transforming logic functions.
We study Boolean algebra as foundation for
designing and analyzing digital systems!
4. Chapter 1 4
Binary Variables
Recall that the two binary values have
different names:
• True/False
• On/Off
• Yes/No
• 1/0
We use 1 and 0 to denote the two values.
Variable identifier examples:
• A, B, y, z, or X1 for now
• RESET, START_IT, or ADD1 later
5. Chapter 1 5
Logical Operations
The three basic logical operations are:
• AND
• OR
• NOT
AND is denoted by a dot (·).
OR is denoted by a plus (+).
NOT is denoted by an overbar ( ¯ ), a
single quote mark (') after, or (~) before
the variable.
6. Chapter 1 6
Examples:
• is read “Y is equal to A AND B.”
• is read “z is equal to x OR y.”
• is read “X is equal to NOT A.”
Notation Examples
Note: The statement:
1 + 1 = 2 (read “one plus one equals two”)
is not the same as
1 + 1 = 1 (read “1 or 1 equals 1”).
B
A
Y
y
x
z
A
X
7. Chapter 1 7
Operator Definitions
Operations are defined on the values
"0" and "1" for each operator:
AND
0 · 0 = 0
0 · 1 = 0
1 · 0 = 0
1 · 1 = 1
OR
0 + 0 = 0
0 + 1 = 1
1 + 0 = 1
1 + 1 = 1
NOT
1
0
0
1
8. Chapter 1 8
0
1
1
0
X
NOT
X
Z
Truth Tables
Truth table a tabular listing of the values of a
function for all possible combinations of values on its
arguments
Example: Truth tables for the basic logic operations:
1
1
1
0
0
1
0
1
0
0
0
0
Z = X·Y
Y
X
AND OR
X Y Z = X+Y
0 0 0
0 1 1
1 0 1
1 1 1
9. Chapter 1 9
Using Switches
• For inputs:
logic 1 is switch closed
logic 0 is switch open
• For outputs:
logic 1 is light on
logic 0 is light off.
• NOT uses a switch such
that:
logic 1 is switch open
logic 0 is switch closed
Logic Function Implementation
Switches in series => AND
Switches in parallel => OR
C
Normally-closed switch => NOT
10. Chapter 1
Example: Logic Using Switches
Light is on (L = 1) for
L(A, B, C, D) =
and off (L = 0), otherwise.
Useful model for relay circuits and for CMOS
gate circuits, the foundation of current digital
logic technology
Logic Function Implementation (Continued)
B
A
D
C
A ((B C') + D) = A B C' + A D
11. Chapter 1
Logic Gates
In the earliest computers, switches were opened
and closed by magnetic fields produced by
energizing coils in relays. The switches in turn
opened and closed the current paths.
Later, vacuum tubes that open and close
current paths electronically replaced relays.
Today, transistors are used as electronic
switches that open and close current paths.
12. Chapter 1
Logic Gates (continued)
Implementation of logic gates with transistors (See
Reading Supplement CMOS Circuits)
Transistor or tube implementations of logic functions are
called logic gates or just gates
Transistor gate circuits can be modeled by switch circuits
•
F
+V
X
Y
+V
X
+V
X
Y
•
•
•
•
•
• •
•
• •
•
•
(a) NOR
G = X +Y
(b) NAND (c) NOT
X .Y
X
•
•
•
13. Chapter 1
(b) Timing diagram
X 0 0 1 1
Y 0 1 0 1
X · Y
(AND) 0 0 0 1
X 1 Y
(OR) 0 1 1 1
(NOT) X 1 1 0 0
(a) Graphic symbols
OR gate
X
Y
Z 5 X 1 Y
X
Y
Z 5 X · Y
AND gate
X Z 5 X
Logic Gate Symbols and Behavior
Logic gates have special symbols:
And waveform behavior in time as follows:
14. Chapter 1
Logic Diagrams and Expressions
Boolean equations, truth tables and logic diagrams describe the same function!
Truth tables are unique; expressions and logic diagrams are not. This gives
flexibility in implementing functions.
X
Y F
Z
Logic Diagram
Equation
Z
Y
X
F
Truth Table
1
1 1 1
1
1 1 0
1
1 0 1
1
1 0 0
0
0 1 1
0
0 1 0
1
0 0 1
0
0 0 0
X Y Z Z
Y
X
F
#10: L (A, B, C, D) = A ((B C') + D) = A B C' + A D
#12: The transistor without the “bubble” on its input is an N-type field effect
transistor. It acts like a closed switch between its top and bottom terminals
with an H (1) applied to its input on its left. It acts like an open switch with
an L (0) applied to its input. The transistor with the “bubble” on its input is a
P-type field effect transistor. The +V at the top provides an H (1) and the
Ground symbol at the bottom provides an L (0). By modeling the two types
of field effect transistors as switches, one can see how the series and
parallel interconnections can produce 1’s and 0’s on the outputs on the
right in response to applied 1’s and 0’s on the inputs on the left. NOR and
NAND are OR and AND, each followed by a NOT respectively.