The document discusses calculating the first sets of grammar rules. It provides examples of determining the first sets for various grammar rules through multiple steps. In the first example, it calculates the first sets for a grammar involving rules for E, Prefix, and Tail over multiple steps, updating the values as more information is obtained. In a second example, it similarly determines the first sets for a grammar involving rules for S, B, and C. It performs the calculation in iterative steps, with the first sets of some rules depending on the results of earlier steps.
This document discusses minimizing Boolean logic and switching theory. It reviews Boolean algebra and canonical forms such as sum of products and product of sums. It discusses how to convert between representations like truth tables and Boolean expressions. Techniques for simplifying Boolean expressions are covered, including De Morgan's laws, the uniting theorem, and Karnaugh maps. Karnaugh maps allow visualizing simplifications by covering adjacent ones with larger cubes or subcubes. Don't cares can also be exploited to simplify expressions. An example design of a two-bit comparator is presented.
This document discusses integration techniques in Calculus II, including integration by parts. It begins by listing the chapter topics covered in the book Stewart Calculus. It then provides examples of using integration by parts to evaluate definite integrals. The key steps are: (1) identify u and dv in the integral, (2) take the derivatives of u and v, (3) apply the integration by parts formula, and (4) evaluate the resulting integral. Choosing u and dv carefully is important to simplify the problem.
The document presents an orthogonal decomposition of the Hilbert space L2(I) over the unit interval I = [0,1]. It establishes that L2(I) can be written as the orthogonal direct sum of two closed subspaces: A2(I), the space of square integrable functions whose first derivative is zero, and the image of the derivative operator applied to a traceless Sobolev space W1,2_0(I). It defines the corresponding projection operators and proves several properties, including that the projections are idempotent and their images are orthogonal. It also provides examples that illustrate the decomposition for some elementary functions.
This document discusses canonical forms for representing Boolean functions. It defines sum of products (SOP) and product of sums (POS) forms, which are standard representations. Minterms and maxterms are also defined as product and sum terms involving all variables. The canonical SOP form is defined as the logical sum of minterms where the function value is 1. Canonical POS form is the logical product of maxterms where the function value is 0. Procedures to convert between SOP, POS and canonical forms are presented. Canonical forms provide a unique representation and can be used to determine equivalency between functions.
9. sum and double half-angle formulas-xharbormath240
The document discusses trigonometric sum and difference angle formulas. It states that trig functions are not additive, providing the example that sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2). It then derives the cosine difference angle formula C(A - B) = C(A)C(B) + S(A)S(B) through a geometric proof involving rotating points on a unit circle. This formula is the basis for other sum and difference formulas listed, including the cosine sum formula C(A + B) = C(A)C(-B) + S(A)S(-B).
The document discusses trigonometric sum and difference angle formulas. It states that trig functions are not additive, providing the example that sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2). It then derives the cosine difference angle formula C(A - B) = C(A)C(B) + S(A)S(B) through a geometric proof involving rotating points on a unit circle. This formula is the basis for other sum and difference formulas listed, including the cosine sum formula C(A + B) = C(A)C(-B) + S(A)S(-B).
The velocity of a vector function is the absolute value of its tangent vector. The speed of a vector function is the length of its velocity vector, and the arc length (distance traveled) is the integral of speed.
This document discusses minimizing Boolean logic and switching theory. It reviews Boolean algebra and canonical forms such as sum of products and product of sums. It discusses how to convert between representations like truth tables and Boolean expressions. Techniques for simplifying Boolean expressions are covered, including De Morgan's laws, the uniting theorem, and Karnaugh maps. Karnaugh maps allow visualizing simplifications by covering adjacent ones with larger cubes or subcubes. Don't cares can also be exploited to simplify expressions. An example design of a two-bit comparator is presented.
This document discusses integration techniques in Calculus II, including integration by parts. It begins by listing the chapter topics covered in the book Stewart Calculus. It then provides examples of using integration by parts to evaluate definite integrals. The key steps are: (1) identify u and dv in the integral, (2) take the derivatives of u and v, (3) apply the integration by parts formula, and (4) evaluate the resulting integral. Choosing u and dv carefully is important to simplify the problem.
The document presents an orthogonal decomposition of the Hilbert space L2(I) over the unit interval I = [0,1]. It establishes that L2(I) can be written as the orthogonal direct sum of two closed subspaces: A2(I), the space of square integrable functions whose first derivative is zero, and the image of the derivative operator applied to a traceless Sobolev space W1,2_0(I). It defines the corresponding projection operators and proves several properties, including that the projections are idempotent and their images are orthogonal. It also provides examples that illustrate the decomposition for some elementary functions.
This document discusses canonical forms for representing Boolean functions. It defines sum of products (SOP) and product of sums (POS) forms, which are standard representations. Minterms and maxterms are also defined as product and sum terms involving all variables. The canonical SOP form is defined as the logical sum of minterms where the function value is 1. Canonical POS form is the logical product of maxterms where the function value is 0. Procedures to convert between SOP, POS and canonical forms are presented. Canonical forms provide a unique representation and can be used to determine equivalency between functions.
9. sum and double half-angle formulas-xharbormath240
The document discusses trigonometric sum and difference angle formulas. It states that trig functions are not additive, providing the example that sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2). It then derives the cosine difference angle formula C(A - B) = C(A)C(B) + S(A)S(B) through a geometric proof involving rotating points on a unit circle. This formula is the basis for other sum and difference formulas listed, including the cosine sum formula C(A + B) = C(A)C(-B) + S(A)S(-B).
The document discusses trigonometric sum and difference angle formulas. It states that trig functions are not additive, providing the example that sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2). It then derives the cosine difference angle formula C(A - B) = C(A)C(B) + S(A)S(B) through a geometric proof involving rotating points on a unit circle. This formula is the basis for other sum and difference formulas listed, including the cosine sum formula C(A + B) = C(A)C(-B) + S(A)S(-B).
The velocity of a vector function is the absolute value of its tangent vector. The speed of a vector function is the length of its velocity vector, and the arc length (distance traveled) is the integral of speed.
The document is a math exam for 7th grade students consisting of 6 questions testing various math topics. Question 1 (2 points) involves adding and subtracting polynomials. Question 2 (2 points) involves evaluating polynomials and finding roots. Question 3 (1 point) involves statistics and calculating the mean. Question 4 (1 point) involves using the Pythagorean theorem to solve a distance problem. Question 5 (1 point) involves calculating prices after discounts. Question 6 (3 points) involves geometry, calculating lengths, proving triangle congruence, and finding centers. The exam tests a range of math skills from algebra to statistics to geometry.
The document provides information about sets, relations, and functions. It defines what a set is and how sets can be described in roster form or set-builder form. It discusses different types of sets such as the empty set, singleton sets, finite sets, and infinite sets. It also covers topics like subsets, power sets, operations on sets such as union, intersection, difference, complement, and applications of these concepts to solve problems involving cardinality of sets.
1. The document contains formulas and identities related to trigonometric functions such as sine, cosine, tangent, cotangent, secant and cosecant. These include formulas for sum, difference, double and triple angles.
2. It also includes the definitions, domains and ranges of inverse trigonometric functions such as arcsine, arccosine, arctangent etc. Properties of inverse functions are listed.
3. Laws of sines, cosines and projections are stated. Several problems involving trigonometric equations are provided along with their solutions.
The document provides information about sets and operations on sets such as union, intersection, complement, difference, properties of these operations, counting theorems for finite sets, and the number of elements in power sets. It defines key terms like union, intersection, complement, difference of sets. It lists properties of union, intersection, and complement. It presents counting theorems for finite sets involving union, intersection. It states that the number of elements in the power set of a set with n elements is 2n and the number of proper subsets is 2n-2.
The document is a math exam for 8th grade students containing 5 questions. Question 1 has 4 parts asking students to solve various equations. Question 2 asks students to solve and graph an inequality. Question 3 asks students to find the original length and width of a rectangular plot of land given changes in dimensions and area. Question 4 asks students to use similar triangles to find the height of a light pole. Question 5 has 3 parts asking students to prove properties about triangles formed by intersecting altitudes.
Top down parsers are more restricted than bottom up parsers. However, ANTLR uses a top-down parser. In this chapter parse tables and recursive descent parsers are described.
Nonterminal E has FIRST(F) which is {(, id}. Nonterminal T has FIRST(F) which is {(, id}. Nonterminal T' has FIRST of {*, ε}. Nonterminal F has FIRST of {(, id}. The document provides examples and rules for calculating FIRST and FOLLOW sets for symbols in a context-free grammar.
The document contains 28 math word problems with solutions. It provides the problems, relevant data or relationships, steps to solve the problems, and the requested values to identify the correct answer choices. The problems involve concepts like ratios, proportions, geometry (angles, lengths, areas), and algebraic equations to model relationships between variables.
This module covers trigonometric equations and identities. Students will learn to:
1. State fundamental trigonometric identities like reciprocal, quotient, and Pythagorean identities.
2. Prove trigonometric identities algebraically by transforming one side into the other.
3. Use sum and difference formulas for sine and cosine to find values of trig functions of angles that are not special angles.
4. Solve simple trigonometric equations.
Worked examples are provided to simplify expressions using identities, prove identities by algebraic manipulation, and apply sum and difference formulas to find trig values of combined angles.
Diseno en ingenieria mecanica de Shigley - 8th ---HDes
descarga el contenido completo de aqui http://paralafakyoumecanismos.blogspot.com.ar/2014/08/libro-para-mecanismos-y-elementos-de.html
Salah satu materi perkuliahan prodi pendidikan matematika mata kuliah teori himpunan dan logika matematika - Diagram Venn, Contoh Soal mengenai Diagram Venn
A Lens is a functional concept which solves a very common problem: how to update a complex immutable structure. This is probably the reason why Lenses are relatively well known in functional programming languages such as Haskell or Scala. However, there are far less resources available on the generalization of Lenses known as "optics".
In this slides, I would like to go through a few of these optics namely Iso, Prism and Optional, by showing how they relate to each other as well as how to use optics in a day to day programming job.
Ncert solutions for class 7 maths chapter 1 integers exercise 1.4iprepkumar
The document provides solutions to 7 questions from an NCERT Class 7 math exercise on integers. Some key details:
- Question 1 involves evaluating integer expressions by dividing integers.
- Question 2 shows that a ÷ (b + c) is not always equal to (a ÷ b) + (a ÷ c) through counter examples.
- Question 3 fills in missing values to make integer division statements true.
- Question 4 gives examples of integer pairs where the first number divided by the second equals -3.
- Question 5 calculates the time when temperature reaches a given value, given an initial temperature and rate of change.
- Questions 6 and 7 involve word problems on test scoring and elevator descent time
The document defines basic set theory concepts and operations such as sets, subsets, union, intersection, complement and Venn diagrams. It provides examples to illustrate set equality, subset, union, intersection and complement relationships. Formulas for calculating set sizes and operations on multiple sets are also presented.
Ncert solutions for class 7 maths chapter 1 integers exercise 1.2jobazine India
This document provides solutions to exercises involving integer addition and subtraction from NCERT Class 7 Maths Chapter 1. It gives examples of finding integer pairs whose sum or difference equals a given number. It also demonstrates that the order of adding integers does not matter, and integers have additive inverses and identities. For one question, it shows that teams A and B scored the same total (-30) despite the order of their individual scores. It fills in blanks to complete statements demonstrating the commutative, associative, additive inverse and identity properties for integer addition.
Pedagogy of Mathematics (Part II) - Set language introduction and Ex.1.6, Set Language, Maths, IX std Maths, Samacheerkalvi maths, II year B.Ed., Pedagogy,
This document contains the solutions to homework problems from a group theory course. It includes:
1) Finding inverses in groups of integers and units of rings.
2) Simplifying expressions in groups and showing a group is Abelian.
3) Proving properties of groups like every element is the inverse of another.
4) Examples of groups like the special linear group and orthogonal group.
This document provides instructions for a mathematics exam for Class X. It has the following key details:
- The exam has 4 sections (A, B, C, D) with a total of 40 questions. All questions are compulsory.
- Section A has 20 one-mark multiple choice questions. Section B has 6 two-mark questions. Section C has 8 three-mark questions. Section D has 6 four-mark questions.
- There is no overall choice but some questions provide an internal choice between alternatives. Students must attempt only one of the choices for those questions.
- Calculators are not permitted. The instructions provide details about the number and type of questions in each section and remind students
1. The document contains a math exam for 7th grade students with 7 questions testing topics like statistics, polynomials, geometry, percentages, and trigonometry.
2. It provides the scoring rubric and guidelines for grading each question and sub-question.
3. The exam is being administered by the People's Committee of Nha Be District to evaluate students in the second semester of the 2019-2020 school year.
The document is a math exam for 7th grade students consisting of 6 questions testing various math topics. Question 1 (2 points) involves adding and subtracting polynomials. Question 2 (2 points) involves evaluating polynomials and finding roots. Question 3 (1 point) involves statistics and calculating the mean. Question 4 (1 point) involves using the Pythagorean theorem to solve a distance problem. Question 5 (1 point) involves calculating prices after discounts. Question 6 (3 points) involves geometry, calculating lengths, proving triangle congruence, and finding centers. The exam tests a range of math skills from algebra to statistics to geometry.
The document provides information about sets, relations, and functions. It defines what a set is and how sets can be described in roster form or set-builder form. It discusses different types of sets such as the empty set, singleton sets, finite sets, and infinite sets. It also covers topics like subsets, power sets, operations on sets such as union, intersection, difference, complement, and applications of these concepts to solve problems involving cardinality of sets.
1. The document contains formulas and identities related to trigonometric functions such as sine, cosine, tangent, cotangent, secant and cosecant. These include formulas for sum, difference, double and triple angles.
2. It also includes the definitions, domains and ranges of inverse trigonometric functions such as arcsine, arccosine, arctangent etc. Properties of inverse functions are listed.
3. Laws of sines, cosines and projections are stated. Several problems involving trigonometric equations are provided along with their solutions.
The document provides information about sets and operations on sets such as union, intersection, complement, difference, properties of these operations, counting theorems for finite sets, and the number of elements in power sets. It defines key terms like union, intersection, complement, difference of sets. It lists properties of union, intersection, and complement. It presents counting theorems for finite sets involving union, intersection. It states that the number of elements in the power set of a set with n elements is 2n and the number of proper subsets is 2n-2.
The document is a math exam for 8th grade students containing 5 questions. Question 1 has 4 parts asking students to solve various equations. Question 2 asks students to solve and graph an inequality. Question 3 asks students to find the original length and width of a rectangular plot of land given changes in dimensions and area. Question 4 asks students to use similar triangles to find the height of a light pole. Question 5 has 3 parts asking students to prove properties about triangles formed by intersecting altitudes.
Top down parsers are more restricted than bottom up parsers. However, ANTLR uses a top-down parser. In this chapter parse tables and recursive descent parsers are described.
Nonterminal E has FIRST(F) which is {(, id}. Nonterminal T has FIRST(F) which is {(, id}. Nonterminal T' has FIRST of {*, ε}. Nonterminal F has FIRST of {(, id}. The document provides examples and rules for calculating FIRST and FOLLOW sets for symbols in a context-free grammar.
The document contains 28 math word problems with solutions. It provides the problems, relevant data or relationships, steps to solve the problems, and the requested values to identify the correct answer choices. The problems involve concepts like ratios, proportions, geometry (angles, lengths, areas), and algebraic equations to model relationships between variables.
This module covers trigonometric equations and identities. Students will learn to:
1. State fundamental trigonometric identities like reciprocal, quotient, and Pythagorean identities.
2. Prove trigonometric identities algebraically by transforming one side into the other.
3. Use sum and difference formulas for sine and cosine to find values of trig functions of angles that are not special angles.
4. Solve simple trigonometric equations.
Worked examples are provided to simplify expressions using identities, prove identities by algebraic manipulation, and apply sum and difference formulas to find trig values of combined angles.
Diseno en ingenieria mecanica de Shigley - 8th ---HDes
descarga el contenido completo de aqui http://paralafakyoumecanismos.blogspot.com.ar/2014/08/libro-para-mecanismos-y-elementos-de.html
Salah satu materi perkuliahan prodi pendidikan matematika mata kuliah teori himpunan dan logika matematika - Diagram Venn, Contoh Soal mengenai Diagram Venn
A Lens is a functional concept which solves a very common problem: how to update a complex immutable structure. This is probably the reason why Lenses are relatively well known in functional programming languages such as Haskell or Scala. However, there are far less resources available on the generalization of Lenses known as "optics".
In this slides, I would like to go through a few of these optics namely Iso, Prism and Optional, by showing how they relate to each other as well as how to use optics in a day to day programming job.
Ncert solutions for class 7 maths chapter 1 integers exercise 1.4iprepkumar
The document provides solutions to 7 questions from an NCERT Class 7 math exercise on integers. Some key details:
- Question 1 involves evaluating integer expressions by dividing integers.
- Question 2 shows that a ÷ (b + c) is not always equal to (a ÷ b) + (a ÷ c) through counter examples.
- Question 3 fills in missing values to make integer division statements true.
- Question 4 gives examples of integer pairs where the first number divided by the second equals -3.
- Question 5 calculates the time when temperature reaches a given value, given an initial temperature and rate of change.
- Questions 6 and 7 involve word problems on test scoring and elevator descent time
The document defines basic set theory concepts and operations such as sets, subsets, union, intersection, complement and Venn diagrams. It provides examples to illustrate set equality, subset, union, intersection and complement relationships. Formulas for calculating set sizes and operations on multiple sets are also presented.
Ncert solutions for class 7 maths chapter 1 integers exercise 1.2jobazine India
This document provides solutions to exercises involving integer addition and subtraction from NCERT Class 7 Maths Chapter 1. It gives examples of finding integer pairs whose sum or difference equals a given number. It also demonstrates that the order of adding integers does not matter, and integers have additive inverses and identities. For one question, it shows that teams A and B scored the same total (-30) despite the order of their individual scores. It fills in blanks to complete statements demonstrating the commutative, associative, additive inverse and identity properties for integer addition.
Pedagogy of Mathematics (Part II) - Set language introduction and Ex.1.6, Set Language, Maths, IX std Maths, Samacheerkalvi maths, II year B.Ed., Pedagogy,
This document contains the solutions to homework problems from a group theory course. It includes:
1) Finding inverses in groups of integers and units of rings.
2) Simplifying expressions in groups and showing a group is Abelian.
3) Proving properties of groups like every element is the inverse of another.
4) Examples of groups like the special linear group and orthogonal group.
This document provides instructions for a mathematics exam for Class X. It has the following key details:
- The exam has 4 sections (A, B, C, D) with a total of 40 questions. All questions are compulsory.
- Section A has 20 one-mark multiple choice questions. Section B has 6 two-mark questions. Section C has 8 three-mark questions. Section D has 6 four-mark questions.
- There is no overall choice but some questions provide an internal choice between alternatives. Students must attempt only one of the choices for those questions.
- Calculators are not permitted. The instructions provide details about the number and type of questions in each section and remind students
1. The document contains a math exam for 7th grade students with 7 questions testing topics like statistics, polynomials, geometry, percentages, and trigonometry.
2. It provides the scoring rubric and guidelines for grading each question and sub-question.
3. The exam is being administered by the People's Committee of Nha Be District to evaluate students in the second semester of the 2019-2020 school year.
Similar to Compiler first set_followset_brief (20)
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
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model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
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for future exploration and optimization of advanced CNN models in medical
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Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
Compiler first set_followset_brief
1. First Set
• First (=A) = First(A) , if ∉ First(A)
First(A) – {} ∪First(), if ∈ First(A)
We will use some examples for this operation…
Red : A Blue :
3. First Set (2)
• First (EPrefix(E))=First(Prefix(E)) ? = {Waiting operation}
– We don’t know First(Prefix) at this moment.
– So we keep the operation of First(Prefix(E)) until we know First(Prefix).
• First (EV Tail) = First(V) = {V}
• First (PrefixF) = First(F) = {F}
• First (Prefix )= First() - {} ∪First() = {}
• First (Tail+E) = First(+) = {+}
• First (Tail ) = First() - {} ∪First() = {}
EPrefix(E)
EV Tail
PrefixF
Prefix
Tail+E
Tail
G0
Red : A Blue :
Step 1:
4. First Set (2)
• First (EPrefix(E))=First(Prefix(E)) ? = {Waiting operation}
– We don’t know First(Prefix) at this moment.
– So we keep the operation of First(Prefix(E)) until we know First(Prefix).
• First (EV Tail) = {V}
• First (PrefixF) = {F}
• First (Prefix )= {}
• First (Tail+E) = {+}
• First (Tail ) = {}
EPrefix(E)
EV Tail
PrefixF
Prefix
Tail+E
Tail
G0
Red : A Blue :
Step First Set
E Prefix Tail ( ) V F +
Step 1 First(Prefix(E))∪{V} {F, } {+, }
Step 1:
5. First Set (2)
• First (EPrefix(E))=First(Prefix(E)) ? = {Waiting operation}
– In this step, we know First(Prefix).
– So we replace the First(Prefix) with {F, }.
• First (EV Tail) = {V}
• First (PrefixF) = {F}
• First (Prefix )= {}
• First (Tail+E) = {+}
• First (Tail ) = {}
EPrefix(E)
EV Tail
PrefixF
Prefix
Tail+E
Tail
G0
Red : A Blue :
{F, }
Step 2:
Step First Set
E Prefix Tail ( ) V F +
Step 1 First(Prefix(E))∪{V} {F, } {+, }
6. First Set (2)
• First (EPrefix(E))=First(Prefix(E)) = {F, }
= {F, } - {} ∪ First((E)) = {F, (}
• First (EV Tail) = {V}
• First (PrefixF) = {F}
• First (Prefix )= {}
• First (Tail+E) = {+}
• First (Tail ) = {}
EPrefix(E)
EV Tail
PrefixF
Prefix
Tail+E
Tail
G0
Red : A Blue :
Step 2:
Step First Set
E Prefix Tail ( ) V F +
Step 1 First(Prefix(E))∪{V} {F, } {+, }
7. First Set (2)
• First (EPrefix(E))= {F, (}
• First (EV Tail) = {V}
• First (PrefixF) = {F}
• First (Prefix )= {}
• First (Tail+E) = {+}
• First (Tail ) = {}
EPrefix(E)
EV Tail
PrefixF
Prefix
Tail+E
Tail
G0
Red : A Blue :
Step First Set
E Prefix Tail ( ) V F +
Step 1 First(Prefix(E))∪{V} {F, } {+, }
Step 2 {F, (} ∪ {V} ={F, (, V} {F, } {+, }
Step 2:
8. First Set (2)
• First (EPrefix(E))= {F, (}
• First (EV Tail) = {V}
• First (PrefixF) = {F}
• First (Prefix )= {}
• First (Tail+E) = {+}
• First (Tail ) = {}
EPrefix(E)
EV Tail
PrefixF
Prefix
Tail+E
Tail
G0
Step First Set
E Prefix Tail ( ) V F +
Step 1 First(Prefix(E))∪{V} {F, } {+, }
Step 2 {F, (} ∪ {V} ={F, (, V} {F, } {+, }
Step 3 {F, (, V} {F, } {+, } {(} {)} {V} {F} {+}
If no more change…
The first set of a terminal
symbol is itself
Red : A Blue :
Step 3:
10. First Set (2)
S aSe
S B
B bBe
B C
C cCe
C d
G0
Red : A Blue :
11. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = First(a) ={a}
• First (SB) = First(B)
• First (B bBe) = First(b)={b}
• First (B C) = First(C)
• First (C cCe) = First(c) ={c}
• First (C d) = First(d)={d}
Red : A Blue :
Step 1:
12. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = First(B)
• First (B bBe) = {b}
• First (B C) = First(C)
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step First Set
S B C a b c d
Step 1 {a}∪First(B) {b}∪First(C) {c, d}
Step 1:
13. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = First(B) = {b}∪First(C)
• First (B bBe) = {b}
• First (B C) = First(C)
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step First Set
S B C a b c d
Step 1 {a}∪First(B) {b}∪First(C) {c, d}
Step 2:
14. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = {b}∪First(C)
• First (B bBe) = {b}
• First (B C) = First(C)
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step 2:
Step First Set
S B C a b c d
Step 1 {a}∪First(B) {b}∪First(C) {c, d}
Step 2 {a}∪ {b}∪First(C)
15. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = {b}∪First(C)
• First (B bBe) = {b}
• First (B C) = First(C) = {c, d}
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step 2:
Step First Set
S B C a b c d
Step 1 {a}∪First(B) {b}∪First(C) {c, d}
Step 2 {a}∪ {b}∪First(C)
16. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = {b}∪First(C)
• First (B bBe) = {b}
• First (B C) = {c, d}
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step First Set
S B C a b c d
Step 1 {a}∪First(B) {b}∪First(C) {c, d}
Step 2 {a}∪ {b}∪First(C) {b}∪{c, d} = {b,c,d} {c, d}
Step 2:
17. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = {b}∪First(C) = {b}∪ {c, d}
• First (B bBe) = {b}
• First (B C) = {c, d}
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step 3:
Step First Set
S B C a b c d
Step 1 {a}∪First(B) {b}∪First(C) {c, d}
Step 2 {a}∪ {b}∪First(C) {b}∪{c, d} = {b,c,d} {c, d}
18. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = {b, c, d}
• First (B bBe) = {b}
• First (B C) = {c, d}
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step 3:
Step First Set
S B C a b c d
Step
1
{a}∪First(B) {b}∪First(C) {c, d}
Step
2
{a}∪ {b}∪First(C) {b}∪{c, d} = {b,c,d} {c, d}
19. S aSe
S B
B bBe
B C
C cCe
C d
G0
First Set (2)
• First (SaSe) = {a}
• First (SB) = {b, c, d}
• First (B bBe) = {b}
• First (B C) = {c, d}
• First (C cCe) = {c}
• First (C d) = {d}
Red : A Blue :
Step 3:
Step First Set
S B C a b c d
Step 1 {a}∪First(B) {b}∪First(C) {c, d}
Step 2 {a}∪ {b}∪First(C) {b}∪{c, d} = {b,c,d} {c, d}
Step 3 {a}∪ {b}∪{c, d} = {a,b,c,d} {b}∪{c, d} = {b,c,d} {c, d} {a} {b} {c} {d}
If no more change…
The first set of a terminal
symbol is itself
21. First Set (2)
S ABc
A a
A
B b
B
G0
Red : A Blue :
22. First Set (2)
S ABc
A a
A
B b
B
G0
Red : A Blue :
• First (SABc) = First(ABc)
• First (Aa) = First(a)
• First (A ) = First()∪First()
• First (B b) = First(b)
• First (B ) = First()∪First()
Step 1:
23. First Set (2)
S ABc
A a
A
B b
B
G0
Red : A Blue :
• First (SABc) = First(ABc)
• First (Aa) = {a}
• First (A ) = {}
• First (B b) = {b}
• First (B ) = {}
Step 1:
Step First Set
S A B a b c
Step 1 First(ABc) {a, } {b, }
24. First Set (2)
S ABc
A a
A
B b
B
G0
Red : A Blue :
• First (SABc) = First(ABc) = {a, }
= {a, } - {} ∪ First(Bc)
= {a} ∪ First(Bc)
• First (Aa) = {a}
• First (A ) = {}
• First (B b) = {b}
• First (B ) = {}
Step 2:
Step First Set
S A B a b c
Step 1 First(ABc) {a, } {b, }
Step 2 {a} ∪ First(Bc) {a, } {b, }
25. First Set (2)
S ABc
A a
A
B b
B
G0
Red : A Blue :
• First (SABc) = {a} ∪ First(Bc)
= {a} ∪{b, }
= {a} ∪{b, } - {} ∪First(c)
= {a} ∪{b,c}
• First (Aa) = {a}
• First (A ) = {}
• First (B b) = {b}
• First (B ) = {}
Step 3:
Step First Set
S A B a b c
Step 1 First(ABc) {a, } {b, }
Step 2 {a} ∪ First(Bc) {a, } {b, }
Step 3 {a} ∪ {b, c}= {a,b,c} {a, } {b, }
26. First Set (2)
S ABc
A a
A
B b
B
G0
Red : A Blue :
• First (SABc) = {a,b,c}
• First (Aa) = {a}
• First (A ) = {}
• First (B b) = {b}
• First (B ) = {}
Step 3:
Step First Set
S A B a b c
Step
1
First(ABc) {a, } {b, }
Step
2
{a} ∪ First(Bc) {a, } {b, }
If no more change…
The first set of a terminal
symbol is itself
27. Follow Set
• Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
• We will use some examples for this operation…
E…A
33. S aSe
S B
B bBe
B C
C cCe
C d
G0
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
34. Step 0:
S aSe
S B
B bBe
B C
C cCe
C d
G0
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
Step Follow Set
S B C
Step 0 {}
35. Step 1:
S aSe
S B
B bBe
B C
C cCe
C d
G0
• S aSe
Follow (S) = Follow (S) ∪ {e}
• S B
Follow (B )
= Follow (B) ∪ Follow (S)
• B bBe
Follow (B) = Follow (B) ∪ {e}
• B C
Follow (C)
= Follow (C) ∪ Follow (B)
• C cCe
Follow (C) = Follow (C) ∪ {e}
• C d
=> No Non-Terminal
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
Step Follow Set
S B C
Step 0
Step 1 Follow(S) ∪ {e}
= {, e}
Follow (B) ∪Follow(S) ∪ {e}
={, e}
Follow (C) ∪ Follow(B) ∪ {e}
= {e}
36. Step 2:
S aSe
S B
B bBe
B C
C cCe
C d
G0
• S aSe
Follow (S) = Follow (S) ∪ {e}
• S B
Follow (B )
= Follow (B) ∪ Follow (S)
• B bBe
Follow (B) = Follow (B) ∪ {e}
• B C
Follow (C)
= Follow (C) ∪ Follow (B)
• C cCe
Follow (C) = Follow (C) ∪ {e}
• C d
=> No Non-Terminal
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
Step Follow Set
S B C
Step 0
Step 1 Follow(S) ∪ {e}
= {, e}
Follow (B) ∪Follow(S) ∪ {e}
={, e}
Follow (C) ∪ Follow(B) ∪ {e}
= {e}
Step 2 Follow(S) ∪ {e}
= {, e}
Follow (B) ∪Follow(S) ∪ {e}
={, e}
Follow (C) ∪ Follow(B) ∪ {e}
={, e}
37. Step 3:
S aSe
S B
B bBe
B C
C cCe
C d
G0
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
Step Follow Set
S B C
Step 0
Step 1 Follow(S) ∪ {e}
= {, e}
Follow (B) ∪Follow(S) ∪ {e}
={, e}
Follow (C) ∪ Follow(B) ∪ {e}
= {e}
Step 2 Follow(S) ∪ {e}
= {, e}
Follow (B) ∪Follow(S) ∪ {e}
={, e}
Follow (C) ∪ Follow(B) ∪ {e}
={, e}
Step 3 Follow(S) ∪ {e}
= {, e}
Follow (B) ∪Follow(S) ∪ {e}
={, e}
Follow (C) ∪ Follow(B) ∪ {e}
={, e}
39. S ABc
A a
A
B b
B
G0
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
40. Step 0:
S ABc
A a
A
B b
B
G0
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
Step Follow Set
S A B
Step 0 {}
41. Step 1:
• S ABc
Follow (A)
= Follow (A) ∪ First (Bc)
= Follow (A) ∪ {b,c}
• S ABc
Follow (B) = Follow (B) ∪ {c}
• A a
No Non-Terminal
• A
=> No Non-Terminal
• B b
=> No Non-Terminal
• B
=> No Non-Terminal
S ABc
A a
A
B b
B
G0
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
Step Follow Set
S A B
Step 0 {}
Step 1 {} Follow (A) ∪ {b,c} = {b,c} Follow (B) ∪ {c} = {c}
42. Step 2:
• S ABc
Follow (A)
= Follow (A) ∪ First (Bc)
= Follow (A) ∪ {b,c}
• S ABc
Follow (B) = Follow (B) ∪ {c}
• A a
No Non-Terminal
• A
=> No Non-Terminal
• B b
=> No Non-Terminal
• B
=> No Non-Terminal
S ABc
A a
A
B b
B
G0
E…A
Follow (A) = Follow(A) ∪ First() , if ∉ First()
Follow(A) ∪First() – {} ∪Follow(E) , if ∈ First()
Step Follow Set
S A B
Step 0 {}
Step 1 {} Follow (A) ∪ {b,c} = {b,c} Follow (B) ∪ {c} = {c}
Step 2 {} Follow (A) ∪ {b,c} = {b,c} Follow (B) ∪ {c} = {c}