-Explain the basics JMS
- Use API of Java
References
YouTube link :
https://www.youtube.com/playlist?list=PLtDIUAtyP4lhV7CsYfLuIx26UeG4J-ujZ
GitHub :
https://github.com/Ghadeerof
- Explain the basics JMS
- Use API of Java
References
YouTube link :
https://www.youtube.com/playlist?list=PLtDIUAtyP4lhV7CsYfLuIx26UeG4J-ujZ
GitHub :
https://github.com/Ghadeerof
This document provides an overview of different JMS message types including TextMessage, ObjectMessage, MapMessage, ByteMessage, and StreamMessage. It describes key features of each message type such as carrying text payloads for TextMessage, serializable Java objects for ObjectMessage, and name-value pairs for MapMessage. Examples are given showing how to set and get content from messages of each type using the appropriate JMS API methods.
The document discusses Java Message Service (JMS), which allows Java programs to exchange messages. JMS uses three message exchange models: publish-subscribe messaging involving topics and multiple senders/receivers; point-to-point messaging using message queues with one sender and receiver; and request-reply messaging to send and receive related messages. A JMS provider implements the JMS interfaces and APIs to enable asynchronous, reliable messaging between distributed Java applications.
Java Messaging Service (JMS) is a specification that describes a common way for Java programs to create, send, receive and read distributed enterprise messages using a loosely coupled and asynchronous messaging approach. A JMS provider delivers messages to clients as they arrive without requiring the client to request them. JMS supports point-to-point, publish-subscribe, and request-reply messaging domains. The JMS API defines programming elements like connections, sessions, producers and consumers that Java programs use to participate in messaging.
This document provides an overview of Java Message Service (JMS) including its goals, benefits, components, messaging models, and how it compares to Java Mail. JMS is a messaging standard that allows applications to communicate asynchronously via messages. It supports two messaging models: point-to-point messaging using queues and publish-subscribe using topics. The document also discusses Spring JMS, which provides a simplified API for JMS, and demonstrates sending and receiving messages using both pure JMS and Spring JMS.
This document discusses message-oriented middleware (MOM). It begins with an introduction to MOM, explaining why it was developed and what it is. Then it covers some common MOM specifications including JMS, AMQP, STOMP, and MQTT. The next section discusses core MOM technologies like transport methods, persistence, and transactions. Advanced features of MOM such as high availability, performance, administration, and plugins are then outlined. Finally, the document briefly introduces alternative messaging technologies like ZeroMQ and cloud messaging before listing references for further information.
Indianapolis mule soft_meetup_12_june_2021ikram_ahamed
This document summarizes an event held by the Indianapolis MuleSoft Meetup Group about JMS capabilities with MuleSoft. The organizer was Ikram Mohamed from OneAmerica and the speaker was Jitendra Bafna from Capgemini. The agenda included introductions, an overview of JMS queues and topics, the JMS connector, design patterns, behavior related to clustering and server groups, and a trivia quiz. Key points discussed were the differences between queues and topics in JMS, how to use the JMS connector in MuleSoft including various operations and design patterns like request-response, ensuring guaranteed delivery and durable topic subscriptions, and how behavior differs when applications are deployed on clusters versus server groups.
- Explain the basics JMS
- Use API of Java
References
YouTube link :
https://www.youtube.com/playlist?list=PLtDIUAtyP4lhV7CsYfLuIx26UeG4J-ujZ
GitHub :
https://github.com/Ghadeerof
This document provides an overview of different JMS message types including TextMessage, ObjectMessage, MapMessage, ByteMessage, and StreamMessage. It describes key features of each message type such as carrying text payloads for TextMessage, serializable Java objects for ObjectMessage, and name-value pairs for MapMessage. Examples are given showing how to set and get content from messages of each type using the appropriate JMS API methods.
The document discusses Java Message Service (JMS), which allows Java programs to exchange messages. JMS uses three message exchange models: publish-subscribe messaging involving topics and multiple senders/receivers; point-to-point messaging using message queues with one sender and receiver; and request-reply messaging to send and receive related messages. A JMS provider implements the JMS interfaces and APIs to enable asynchronous, reliable messaging between distributed Java applications.
Java Messaging Service (JMS) is a specification that describes a common way for Java programs to create, send, receive and read distributed enterprise messages using a loosely coupled and asynchronous messaging approach. A JMS provider delivers messages to clients as they arrive without requiring the client to request them. JMS supports point-to-point, publish-subscribe, and request-reply messaging domains. The JMS API defines programming elements like connections, sessions, producers and consumers that Java programs use to participate in messaging.
This document provides an overview of Java Message Service (JMS) including its goals, benefits, components, messaging models, and how it compares to Java Mail. JMS is a messaging standard that allows applications to communicate asynchronously via messages. It supports two messaging models: point-to-point messaging using queues and publish-subscribe using topics. The document also discusses Spring JMS, which provides a simplified API for JMS, and demonstrates sending and receiving messages using both pure JMS and Spring JMS.
This document discusses message-oriented middleware (MOM). It begins with an introduction to MOM, explaining why it was developed and what it is. Then it covers some common MOM specifications including JMS, AMQP, STOMP, and MQTT. The next section discusses core MOM technologies like transport methods, persistence, and transactions. Advanced features of MOM such as high availability, performance, administration, and plugins are then outlined. Finally, the document briefly introduces alternative messaging technologies like ZeroMQ and cloud messaging before listing references for further information.
Indianapolis mule soft_meetup_12_june_2021ikram_ahamed
This document summarizes an event held by the Indianapolis MuleSoft Meetup Group about JMS capabilities with MuleSoft. The organizer was Ikram Mohamed from OneAmerica and the speaker was Jitendra Bafna from Capgemini. The agenda included introductions, an overview of JMS queues and topics, the JMS connector, design patterns, behavior related to clustering and server groups, and a trivia quiz. Key points discussed were the differences between queues and topics in JMS, how to use the JMS connector in MuleSoft including various operations and design patterns like request-response, ensuring guaranteed delivery and durable topic subscriptions, and how behavior differs when applications are deployed on clusters versus server groups.
I've covered below topics in current presentation:
- Message Queue Introduction
- Architecture
- Key Capabilities
- Simple Use Case
- Difference between Web Service and Message Queue
- ActiveMQ Portal
I'll be adding one more presentation on MQ Testing through Parasoft SOATest.
Please feel free to contact if you need more information.
Introduction to JMS and Message-Driven POJOsMatt Stine
This document provides an overview of JMS and message-driven POJOs. It discusses JMS message types, the JMS API, configuration, sending and receiving messages, request/reply messaging, using Spring's JMS support, and implementing message-driven POJOs with Spring. Code examples are provided to demonstrate sending and receiving messages, request/reply messaging, and implementing message-driven POJOs that receive messages. The presentation includes an agenda, introductions to messaging concepts and models, descriptions of each message type, and discussions of Spring's JMS support and the three options for implementing message-driven POJOs with Spring.
Overview of message oriented middleware technology (MOM).
Message Oriented Middleware allows asynchronous operation between sender and receiver of information. This greatly reduces temporal coupling and allows building flexible and extensible application architectures. Message queues managed by message brokers are used as information exchanges between sender and receiver. The subscribe-publish pattern allows producers and consumers to share information through message brokers without any direct coupling between them. Various message oriented protocols like MSMQ, AMQP, XMPP and MQTT have emerged that serve the diverse needs of different environments.
Message-driven beans allow clients to asynchronously invoke server-side business logic using JMS. Unlike session and entity beans, MDBs do not have remote interfaces and clients do not directly access them. An MDB uses its onMessage() method to process messages received from clients via JMS. The EJB container handles creating MDB instances and delivering messages to them.
This document discusses optimizing machine translation systems for user benefit. It outlines several ways to measure translation quality and utility, including editing time and effort. Current approaches include post-processing machine translation, learning from translator feedback, and using quality estimation to guide humans. The document advocates formalizing the task purpose and taking advantage of user context to explicitly train systems to maximize user benefit, such as optimizing interactive prediction for translation or post-editing tasks. The vision is for task-based optimization to be applied beyond machine translation to any user-agent interaction scenario.
Independent processes operate concurrently without affecting each other, while cooperating processes can impact one another. Inter-process communication (IPC) allows processes to share information, improve computation speed, and share resources. The two main types of IPC are shared memory and message passing. Shared memory uses a common memory region for fast communication, while message passing involves establishing communication links and exchanging messages without shared variables. Key considerations for message passing include direct vs indirect communication and synchronous vs asynchronous messaging.
Processes communicate through interprocess communication (IPC) using two main models: shared memory and message passing. Shared memory allows processes to access the same memory regions, while message passing involves processes exchanging messages through mechanisms like mailboxes, pipes, signals, and sockets. Common IPC techniques include semaphores, shared memory, message queues, and sockets that allow processes to synchronize actions and share data in both blocking and non-blocking ways. Deadlocks can occur if processes form a circular chain while waiting for resources held by other processes.
This document provides an overview of messaging frameworks and Java Message Service (JMS). It defines messaging as communication between disparate systems and explains why messaging is important for enabling asynchronous and reliable communication. The key concepts covered include messaging fundamentals using a message-oriented middleware, common messaging protocols like AMQP and JMS, JMS domains for point-to-point and publish/subscribe messaging, consuming messages synchronously and asynchronously, the JMS API for creating connections and messages, and best practices for building robust JMS applications. It concludes with an example of designing a drone delivery system using JMS queues.
The document discusses Java Message Service (JMS) and its architecture, describing key JMS concepts like connections, sessions, message producers and consumers, and administered objects. It also covers message types and how to implement asynchronous messaging using a message-driven bean within a J2EE application.
The document summarizes JMS (Java Messaging Service), including its architecture, core concepts like messaging domains (point-to-point and publish/subscribe), administered objects like connection factories and destinations, and how to create and use message producers, consumers, listeners and messages. JMS enables loosely coupled, asynchronous communication between distributed applications using messages sent to queues or topics.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
The document discusses Java Message Service (JMS) API which allows applications to asynchronously communicate by creating, sending, receiving and reading messages. It describes JMS architecture including administered objects like connection factories and destinations that clients look up, connections to providers, sessions for producing and consuming messages, and message producers and consumers. It also covers point-to-point and publish/subscribe messaging domains and how messages can be consumed synchronously or asynchronously.
ActiveMQ is an open source message broker that implements the Java Message Service (JMS) API. It allows applications written in different languages to communicate asynchronously. Apache Camel is an open source integration framework that can be used to build messaging routes between different transports and APIs using a simple domain-specific language. It provides mediation capabilities and supports common integration patterns. Both ActiveMQ and Camel aim to simplify integration between disparate systems through message-based communication.
Java Messaging Service (JMS) is a Java API that allows applications to asynchronously send and receive messages. It supports both point-to-point and publish-subscribe messaging models. A JMS application consists of JMS clients that produce and consume messages and administered objects like destinations and connection factories that are configured by an administrator.
JMS is a Java messaging specification that defines a common way for Java programs to create, send, receive, and read distributed messages asynchronously in a loosely coupled manner. It provides a unified message API and simplifies portability between clients. Key concepts include connection factories, connections, sessions, message producers, destinations, message consumers, and messages. The JMS provider handles connections and destinations, while clients handle message production and consumption using sessions. ActiveMQ is an open source JMS provider that supports optional message scheduling functionality.
I've covered below topics in current presentation:
- Message Queue Introduction
- Architecture
- Key Capabilities
- Simple Use Case
- Difference between Web Service and Message Queue
- ActiveMQ Portal
I'll be adding one more presentation on MQ Testing through Parasoft SOATest.
Please feel free to contact if you need more information.
Introduction to JMS and Message-Driven POJOsMatt Stine
This document provides an overview of JMS and message-driven POJOs. It discusses JMS message types, the JMS API, configuration, sending and receiving messages, request/reply messaging, using Spring's JMS support, and implementing message-driven POJOs with Spring. Code examples are provided to demonstrate sending and receiving messages, request/reply messaging, and implementing message-driven POJOs that receive messages. The presentation includes an agenda, introductions to messaging concepts and models, descriptions of each message type, and discussions of Spring's JMS support and the three options for implementing message-driven POJOs with Spring.
Overview of message oriented middleware technology (MOM).
Message Oriented Middleware allows asynchronous operation between sender and receiver of information. This greatly reduces temporal coupling and allows building flexible and extensible application architectures. Message queues managed by message brokers are used as information exchanges between sender and receiver. The subscribe-publish pattern allows producers and consumers to share information through message brokers without any direct coupling between them. Various message oriented protocols like MSMQ, AMQP, XMPP and MQTT have emerged that serve the diverse needs of different environments.
Message-driven beans allow clients to asynchronously invoke server-side business logic using JMS. Unlike session and entity beans, MDBs do not have remote interfaces and clients do not directly access them. An MDB uses its onMessage() method to process messages received from clients via JMS. The EJB container handles creating MDB instances and delivering messages to them.
This document discusses optimizing machine translation systems for user benefit. It outlines several ways to measure translation quality and utility, including editing time and effort. Current approaches include post-processing machine translation, learning from translator feedback, and using quality estimation to guide humans. The document advocates formalizing the task purpose and taking advantage of user context to explicitly train systems to maximize user benefit, such as optimizing interactive prediction for translation or post-editing tasks. The vision is for task-based optimization to be applied beyond machine translation to any user-agent interaction scenario.
Independent processes operate concurrently without affecting each other, while cooperating processes can impact one another. Inter-process communication (IPC) allows processes to share information, improve computation speed, and share resources. The two main types of IPC are shared memory and message passing. Shared memory uses a common memory region for fast communication, while message passing involves establishing communication links and exchanging messages without shared variables. Key considerations for message passing include direct vs indirect communication and synchronous vs asynchronous messaging.
Processes communicate through interprocess communication (IPC) using two main models: shared memory and message passing. Shared memory allows processes to access the same memory regions, while message passing involves processes exchanging messages through mechanisms like mailboxes, pipes, signals, and sockets. Common IPC techniques include semaphores, shared memory, message queues, and sockets that allow processes to synchronize actions and share data in both blocking and non-blocking ways. Deadlocks can occur if processes form a circular chain while waiting for resources held by other processes.
This document provides an overview of messaging frameworks and Java Message Service (JMS). It defines messaging as communication between disparate systems and explains why messaging is important for enabling asynchronous and reliable communication. The key concepts covered include messaging fundamentals using a message-oriented middleware, common messaging protocols like AMQP and JMS, JMS domains for point-to-point and publish/subscribe messaging, consuming messages synchronously and asynchronously, the JMS API for creating connections and messages, and best practices for building robust JMS applications. It concludes with an example of designing a drone delivery system using JMS queues.
The document discusses Java Message Service (JMS) and its architecture, describing key JMS concepts like connections, sessions, message producers and consumers, and administered objects. It also covers message types and how to implement asynchronous messaging using a message-driven bean within a J2EE application.
The document summarizes JMS (Java Messaging Service), including its architecture, core concepts like messaging domains (point-to-point and publish/subscribe), administered objects like connection factories and destinations, and how to create and use message producers, consumers, listeners and messages. JMS enables loosely coupled, asynchronous communication between distributed applications using messages sent to queues or topics.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
The document discusses Java Message Service (JMS) API which allows applications to asynchronously communicate by creating, sending, receiving and reading messages. It describes JMS architecture including administered objects like connection factories and destinations that clients look up, connections to providers, sessions for producing and consuming messages, and message producers and consumers. It also covers point-to-point and publish/subscribe messaging domains and how messages can be consumed synchronously or asynchronously.
ActiveMQ is an open source message broker that implements the Java Message Service (JMS) API. It allows applications written in different languages to communicate asynchronously. Apache Camel is an open source integration framework that can be used to build messaging routes between different transports and APIs using a simple domain-specific language. It provides mediation capabilities and supports common integration patterns. Both ActiveMQ and Camel aim to simplify integration between disparate systems through message-based communication.
Java Messaging Service (JMS) is a Java API that allows applications to asynchronously send and receive messages. It supports both point-to-point and publish-subscribe messaging models. A JMS application consists of JMS clients that produce and consume messages and administered objects like destinations and connection factories that are configured by an administrator.
JMS is a Java messaging specification that defines a common way for Java programs to create, send, receive, and read distributed messages asynchronously in a loosely coupled manner. It provides a unified message API and simplifies portability between clients. Key concepts include connection factories, connections, sessions, message producers, destinations, message consumers, and messages. The JMS provider handles connections and destinations, while clients handle message production and consumption using sessions. ActiveMQ is an open source JMS provider that supports optional message scheduling functionality.
This document provides an overview of Java Message Service (JMS) for asynchronous messaging between software components. Key points include:
- JMS allows applications to asynchronously send and receive messages via queues or topics. This allows components that are not available at the same time to communicate.
- Messages sent via JMS remain in queues until a client receives them, ensuring reliable and guaranteed delivery.
- The document demonstrates a simple example of an order fulfillment scenario using JMS, and provides code samples for a basic message producer client.
- Core JMS concepts like providers, clients, destinations, connection factories and message types are defined to explain the JMS programming model.
This document provides an overview of Java Message Service (JMS) and how to use it. JMS allows applications to asynchronously and reliably send and receive messages. It uses Java Naming and Directory Interface (JNDI) to lookup connection information instead of hardcoding addresses. Sample code demonstrates how to publish messages to a topic and subscribe to receive them. JMS provides loose coupling between applications and supports point-to-point and publish-subscribe messaging models.
This document provides an overview of Apache ActiveMQ, an open source message broker that implements the Java Message Service (JMS) standard. It discusses JMS concepts like clients, providers, messages, queues, topics and publish/subscribe models. It then describes what ActiveMQ is, how to install it, and how to use its JMS API to send and receive messages. Finally, it briefly mentions other JMS providers and some common use cases for ActiveMQ like transactional messaging, market data distribution, clustering, and integrating messaging with REST APIs.
The document provides an overview of the Java Message Service (JMS) API. It discusses how JMS allows for asynchronous and reliable messaging between loosely coupled applications. JMS uses the Java Naming and Directory Interface (JNDI) to abstract provider details and make administrative objects easily organized. Example code is given to demonstrate publishing messages to a topic and subscribing to receive messages from a topic.
Overview of JMS messaging API.
JMS (Java Messaging Service) is an API for asynchronous message based communication between Java based applications.
JMS implementations (instances that implement the JMS API) are called JMS providers.
JMS defines two messaging domains. Point-to-point queues are typically used between one or multiple message senders and a single message receiver.
Topics are multi-point queues where messages are distributed to multiple receivers. As such topics resemble a black board.
Like many other message oriented middleware technologies, JMS provides advanced functions like persistent message delivery mode or different message acknowledgment modes.
Additionally, messages can be sent and received in a transacted mode thus ensuring that either all or no messages are sent and received.
JMS integrates into EJB (Enterprise Java Beans) through message driven beans.
Outlines of this lecture:
- Definition
- Access Modifiers
- Constructors
- Destructors
- Time Class Example
- Complex Number Class Example
- Employee Class with Files
- Class Objects
- Header Files
- Access and Help Methods
- Files and Streams
- Sequential Files
- Write and Read to Sequential Files
- Random Files
- Write and Read to Random Files
- Full Examples and Exercise
Outlines of this lecture:
- String Class
- String Class Methods
- String Buffer Class
- String Buffer Class Methods
- Inner Class
- Member Inner Class
- Anonymous Inner Class
- Local Inner Class
- Static Nested Class:
- Nested Interface
The outlines of this lecture:
- Memory Addresses in Computer
- Definition of Pointers
- Access to Pointer Value
- star and & Operators
- Passing Pointer as Parameters
- Pointers with Constants
- Pointers with String
- Arrays of Pointers
- cString library
- Exercise
Outlines of this lecture:
- What is stream?
- File Output Stream Class
- File Input Stream Class
- Byte Array Output Stream Class
- Sequence Input Stream Class
- File Reader Class
- File Writer Class
- Scanner with String
Outlines of this lecture:
- Array Initialization
- Copy Array
- Arrays as Parameters
- Private Arrays
- Multi-Dimensional Arrays
- Collections
- Iterator Interface
- Array List Class
- Tree Set Class
- Map Interface
- Tree Map Class
- Sorting
- Stack Class
The document discusses object-oriented programming concepts in Java including overriding, abstraction, the final and super keywords, abstract classes and interfaces. It provides rules for method overriding in Java and explains that overriding allows a subclass to provide specific implementations of methods declared in the parent class. It also describes how abstraction hides internal details and shows only important functionality to the user, and that abstract classes can contain both abstract and non-abstract methods while interfaces can only contain abstract methods.
The document discusses various Java operators and classes. It covers arithmetic, relational, bitwise, logical and assignment operators. It also describes the Number class and its methods for mathematical operations. Additionally, it outlines the Character class and Scanner class for character manipulation and input/output. The document provides examples to demonstrate the different operators and classes.
In this lecture, I present introduction in Java.
Outline of this lecture:
- Object & Classes concept
- Variables and DataTypes
- Constructor concept
- Overloading Constructor
- Difference between constructor and method
- Copier Constructor
- Access Modifier
In this lecture, I present introduction in Java.
Outline of this lecture:
- History and platform
- Features of Java
- Requirements for Java
- First Project
- JVM, JRE and JDK explaining
- Compiling
In this course, I will cover basic concepts of Java language and concepts of object-oriented programming.
Outline of this course:
- History and platform
- Class, Object and Access Modifier
- Operator and Decision Making
- Inheritance
- Aggregation
- Encapsulation
- Overload
- Static keyword
- this keyword
- Override
- Abstraction
- Final keyword
- super keyword
- Interfaces
- Initializer blocks
- Polymorphism
- Read/write Stream
- String and StringBuffer classes
- Inner class
- Exception Handling
- Collections and Arrays
In this lecture, I present concept of arrays in C ++ , I cover :
- Arrays defination
- Initializing arrays
- Input and output with arrays
- Examples of arrays
- Histogram using arrays
- Calculate the frequency of dice
- Calculate the frequency of characters in a string
- Static arrays
- Arrays as arguments
- Two-dimensional arrays
In this lecture, I present concept of functions in C ++ , I cover :
-The concept of functions
-Function template and definition
-Explanation of an example of a Factorial function
-Mathematical examples
-Empty arguments
-Function of perfect number
-Function of prime number
-Function of friendly numbers
-Generate random numbers
-Example of dice game
-GRN problems
-Time function
-Enumeration
-Crops game
-The concept of recursion function
-Example of recursion function
-Fibonacci series with recursion
-Reference arguments
-Default arguments
-Overloading functions
-Examples of overloading
-Template functions
In this lecture, I present Control Structure of C ++ , I cover :
- Conditional control structures
- Examples of conditional control structures
- Complex conditions
- ASCII table
- Loops
- While loop with exercises
- Do/while loop with exercises
- For loop with exercises
- Break and Continue statements
- Exercises
In this lecture, I present the basics of C ++ , I cover :
- Introduction
- Your first program
- Escape characters
- Data types
- Variables
- Scope
- Constants
- Input and output
- Storage classes
- Mathematical calculations
- Shifting
- Logical operations
- Explain the basics of web services
- Exercise with a database
References
YouTube link :
https://www.youtube.com/playlist?list=PLtDIUAtyP4lhV7CsYfLuIx26UeG4J-ujZ
GitHub :
https://github.com/Ghadeerof
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
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
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
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
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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.
2. Intro 1
• JMS (Java MessageService) is an API that provides the facilityto create, send and read messages.
• It provides looselycoupled, reliable and asynchronous communication.
• JMS is also known as a messaging service
3. Understanding Messaging 2
• Messaging is a technique to communicateapplications or software components.
• JMS is mainly usedto sendand receive messagefromone applicationto another.
4. Advantage of JMS 3
• Asynchronous: To receive the message, client is not required to send request. Message will arrive
automatically to the client.
• Reliable: It provides assurance that messageis delivered.
5. Messaging Domains 4
There are two types of messaging domains in JMS :
• Point-to-PointMessaging Domain
• Publisher/Subscriber Messaging Domain
6. Point-to-Point (PTP) Messaging Domain 5
• In PTP model, one message is delivered to one receiver only. Here, Queue is used as a message
oriented middleware (MOM).
• The Queue is responsible to hold the message until receiver is ready.
• In PTP model, there is no timing dependencybetween sender and receiver.
7. Publisher/Subscriber (Pub/Sub) Messaging Domain 7
• In Pub/Sub model, one message is delivered to all the subscribers. It is like broadcasting.
• Topicis used as a messageorientedmiddleware that is responsible to hold and deliver messages.
• In PTP model, there is timing dependency between publisher and subscriber.