The Computer Programming in C++ book helps reader to understand the concepts of C++, the difference between C and C++, and basic fundamentals of object-oriented programming. This book is ideal for software developers who are looking forward to develop their career in the field of programming.
This Book Covers:
Fundamentals of C++ Programming Language
Difference between C and C++
Data Input / Output Processes and Flow Controls
Arrays, Functions, and Pointers
Structures and Unions
Abstraction, Encapsulation, Inheritance, and
Polymorphism
Classes and Objects
Constructors and Destructors
Concepts of Binding and Overloading
ISBN: 978-81-7722-830-4
Price: Rs. 399/- w/CD
Object Oriented Programming using C++ Part IIAjit Nayak
Object Oriented Concepts
Class & Objects in C++
Constructor & Destructors in C++
Operator Overloading in C++
Friend function in C++
Data Conversion in C++
This pointer in C++
Friend class in C++
Nested Class in C++
Object Oriented Programming with C++
Presenter: Aditya Tandon, Assistant Professor, Department of Computer Science and Engineering, Krishna Engineering College, Ghaziabad
Object Oriented Programming using C++ Part IIAjit Nayak
Object Oriented Concepts
Class & Objects in C++
Constructor & Destructors in C++
Operator Overloading in C++
Friend function in C++
Data Conversion in C++
This pointer in C++
Friend class in C++
Nested Class in C++
Object Oriented Programming with C++
Presenter: Aditya Tandon, Assistant Professor, Department of Computer Science and Engineering, Krishna Engineering College, Ghaziabad
C# Programing is an Object Oriented programming and it's multi-paradigm feature enable developers to develop various application project from small to large scale.
C# Programing support .NET Library and it's originally invented by Microsoft. Support in .NET Library make C# developer develop software easier.
This chapter covers Basic C#, Decision Making and Program Structure.
An effective approach to offline arabic handwriting recognitionijaia
Segmentation is the most challenging part of the Arabic handwriting recognition, due to the unique
characteristics of Arabic writing that allows the same shape to denote different characters. In this paper,
an off-line Arabic handwriting recognition system is proposed. The processing details are presented in
three main stages. Firstly, the image is skeletonized to one pixel thin. Secondly, transfer each diagonally
connected foreground pixel to the closest horizontal or vertical line. Finally, these orthogonal lines are
coded as vectors of unique integer numbers; each vector represents one letter of the word. In order to
evaluate the proposed techniques, the system has been tested on the IFN/ENIT database, and the
experimental results show that our method is superior to those methods currently available.
AUTOMATIC TRAINING DATA SYNTHESIS FOR HANDWRITING RECOGNITION USING THE STRUC...ijaia
The paper presents a novel technique called “Structural Crossing-Over” to synthesize qualified data for training machine learning-based handwriting recognition. The proposed technique can provide a greater variety of patterns of training data than the existing approaches such as elastic distortion and tangentbased affine transformation. A couple of training characters are chosen, then they are analyzed by their similar and different structures, and finally are crossed over to generate the new characters. The experiments are set to compare the performances of tangent-based affine transformation and the proposed approach in terms of the variety of generated characters and percent of recognition errors. The standard
MNIST corpus including 60,000 training characters and 10,000 test characters is employed in the
experiments. The proposed technique uses 1,000 characters to synthesize 60,000 characters, and then uses
these data to train and test the benchmark handwriting recognition system that exploits Histogram of
Gradient: HOG as features and Support Vector Machine: SVM as recognizer. The experimental result
yields 8.06% of errors. It significantly outperforms the tangent-based affine transformation and the
original MNIST training data, which are 11.74% and 16.55%, respectively.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
This presentation contains information regarding gifted students and tips for teachers with respect to providing gifted students appropriate educational opportunities.
C# Programing is an Object Oriented programming and it's multi-paradigm feature enable developers to develop various application project from small to large scale.
C# Programing support .NET Library and it's originally invented by Microsoft. Support in .NET Library make C# developer develop software easier.
This chapter covers Basic C#, Decision Making and Program Structure.
An effective approach to offline arabic handwriting recognitionijaia
Segmentation is the most challenging part of the Arabic handwriting recognition, due to the unique
characteristics of Arabic writing that allows the same shape to denote different characters. In this paper,
an off-line Arabic handwriting recognition system is proposed. The processing details are presented in
three main stages. Firstly, the image is skeletonized to one pixel thin. Secondly, transfer each diagonally
connected foreground pixel to the closest horizontal or vertical line. Finally, these orthogonal lines are
coded as vectors of unique integer numbers; each vector represents one letter of the word. In order to
evaluate the proposed techniques, the system has been tested on the IFN/ENIT database, and the
experimental results show that our method is superior to those methods currently available.
AUTOMATIC TRAINING DATA SYNTHESIS FOR HANDWRITING RECOGNITION USING THE STRUC...ijaia
The paper presents a novel technique called “Structural Crossing-Over” to synthesize qualified data for training machine learning-based handwriting recognition. The proposed technique can provide a greater variety of patterns of training data than the existing approaches such as elastic distortion and tangentbased affine transformation. A couple of training characters are chosen, then they are analyzed by their similar and different structures, and finally are crossed over to generate the new characters. The experiments are set to compare the performances of tangent-based affine transformation and the proposed approach in terms of the variety of generated characters and percent of recognition errors. The standard
MNIST corpus including 60,000 training characters and 10,000 test characters is employed in the
experiments. The proposed technique uses 1,000 characters to synthesize 60,000 characters, and then uses
these data to train and test the benchmark handwriting recognition system that exploits Histogram of
Gradient: HOG as features and Support Vector Machine: SVM as recognizer. The experimental result
yields 8.06% of errors. It significantly outperforms the tangent-based affine transformation and the
original MNIST training data, which are 11.74% and 16.55%, respectively.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
This presentation contains information regarding gifted students and tips for teachers with respect to providing gifted students appropriate educational opportunities.
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Abstract—This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic Knowledge Graph leverages an inverted index, along with a complementary uninverted index, to represent nodes (terms) and edges (the documents within intersecting postings lists for multiple terms/nodes). This provides a layer of indirection between each pair of nodes and their corresponding edge, enabling edges to materialize dynamically from underlying corpus statistics. As a result, any combination of nodes can have edges to any other nodes materialize and be scored to reveal latent relationships between the nodes. This provides numerous benefits: the knowledge graph can be built automatically from a real-world corpus of data, new nodes - along with their combined edges - can be instantly materialized from any arbitrary combination of preexisting nodes (using set operations), and a full model of the semantic relationships between all entities within a domain can be represented and dynamically traversed using a highly compact representation of the graph. Such a system has widespread applications in areas as diverse as knowledge modeling and reasoning, natural language processing, anomaly detection, data cleansing, semantic search, analytics, data classification, root cause analysis, and recommendations systems. The main contribution of this paper is the introduction of a novel system - the Semantic Knowledge Graph - which is able to dynamically discover and score interesting relationships between any arbitrary combination of entities (words, phrases, or extracted concepts) through dynamically materializing nodes and edges from a compact graphical representation built automatically from a corpus of data representative of a knowledge domain.
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Having 6 Years of experience and to build A global career in information technology with readiness to accept challenge & to excel through continuous persistence & hard work for growth of organization with improvement in my own computer skills.
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http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
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This will be used as part of your Personal Professional Portfolio once graded.
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Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
1. Computer Programming in C++
The Computer Programming in C++ book helps reader to understand the concepts of C++, the
difference between C and C++, and basic fundamentals of object-oriented programming. This book is
ideal for software developers who are looking forward to develop their career in the field of
programming.
COVERS
L
P RACTICA
S
EXAMPLE
» Fundamentals of C++
Programming Language
» Difference between C and
C++
» Data Input / Output Processes
and Flow Controls
» Arrays, Functions, and Pointers
» Structures and Unions
» Abstraction, Encapsulation,
Inheritance, and Polymorphism
» Classes and Objects
» Constructors and Destructors
» Concepts of Binding and ISBN: 978-81-7722-830-4
Overloading Pages: 742
» More than 500 Solved and Authors: Junaid Khateeb,
Unsolved Questions
Price Dr. G.T. Thampi
Rs. 399/-
w/CD
Table of Contents
CHAPTER 1: STRUCTURED PROGRAMMING WITH C++ CHAPTER 6: OBJECT-ORIENTED PROGRAMMING WITH C++
Introduction to C++ | History of C++ | C++: Superset of the C Programming Language | Exploring Basic Concepts of Object-Oriented Programming | Working with Classes and Objects |
Exploring the Basic Components of C++ Explaining the Difference between C Structures and C++ Classes | Creating Data Access Methods |
CHAPTER 2: INPUT/OUTPUT DATA AND FLOW CONTROLS Creating Inline Functions | Working with Constructors and Destructors | Exploring Local and Nested
Exploring Data Input and Output Processes | Working with Conditional Statements | Working with Classes | Passing Objects as Function Parameters | Returning Objects from Functions | Working with
Iteration Statements | Working with Jump Statements | Using the exit() and abort() Functions Arrays in C++ | Creating a const Object | Using the this Pointer | Working with Friend Functions and
Friend Classes | Declaring and Using Static Variables and Functions | Overloading
CHAPTER 3: WORKING WITH ARRAYS AND FUNCTIONS
Arrays | Function | Scope of Variable | Exploring Storage Classes | Declaring and Using const Variable CHAPTER 7: ABOUT INHERITANCE
Exploring the Concept of Base and Derived Classes | Using the protected Access Specifier | Creating a
CHAPTER 4: POINTER
Simple Program of Inheritance | Explaining Various Types of Derivations | Overriding Base Class
Managing Memory by Using Pointers | Exploring Arrays with Pointers | Using Pointers as Function
Members | Invoking Constructors and Destructors of Base and Derived Classes | Creating Container
Arguments | Returning Pointers from a Function
Classes | Explaining the Forms of Inheritance | Describing Some Problems While Implementing Multiple
CHAPTER 5: STRUCTURES AND UNIONS Inheritance | Creating and Using Pointer Objects | Implementing Static and Dynamic Binding
Exploring Structures in C++ | Union in C++
Junaid Khateeb has been teaching and training Engineering (degree and diploma), B.Sc. I.T., and MCA students since 2003. Having pursued his masters in Computer Engineering from Mumbai University, he has been an extremely
popular name amongst the engineering students. Known for his unique, powerful, and simplistic style of teaching, he has been instrumental in making thousands of students love their computer studies and come out with flying
colors in their university examination. Though CP-I and CP-II (in First year engineering) are his strong bastions, his wide range of knowledge can be gauged from the fact that he has been able to train the students in many more
subjects, such as data structures, analysis of algorithm, database management systems, software engineering, multimedia systems, distributed computing, and artificial intelligence.
Gopakumaran Thampi T. is the Principal of Thadomal Sahani College, Mumbai. He has initiated a research work on the subject of "Developing Tools & Methodologies" to impart training for Computer Programming and Computer
Aided Engineering Procedures in particular and developing a temperament for information technologies in general. He has immense experience in academic project guided with Computer Aided Procedures and continuing
education program conducted for teachers. He also has administrative experience as the Hostel Rector.
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