The document discusses the strategy pattern, which defines a family of algorithms, encapsulates each one, and makes them interchangeable. This allows the algorithm to vary independently from clients that use it. The strategy pattern is applicable when there is a need for multiple classes that differ only in their behavior. It allows selecting different algorithms at runtime for common situations where classes vary by behavior.
In software engineering, behavioral design patterns are design patterns that identify common communication patterns between objects and realize these patterns.
The template method pattern defines a skeleton of an algorithm in an operation, deferring some steps to subclasses. It avoids code duplication by implementing variations of an algorithm in subclasses. Some examples of template patterns include chain of responsibility, command, interpreter, and iterator. The template method pattern defines a template operation that contains abstract and concrete methods. Subclasses implement the abstract methods while calling the concrete methods defined in the superclass. This allows common behavior to be defined while allowing subclasses to provide specific steps.
Je vous partage l'un des présentations que j'ai réalisé lorsque j'étais élève ingénieur pour le module 'Anglais Business ' , utile pour les étudiants souhaitant préparer une présentation en anglais sur les Design Pattern - ou les patrons de conception .
An introduction to structural design patterns in object orientation. Suitable for intermediate to advanced computing students and those studying software engineering.
The Adapter pattern is used to allow an existing Queue class to be used as a Stack. A ClassAdapter inherits from the Stack interface and the Queue class, implementing the stack operations by manipulating the underlying queue. An ObjectAdapter composes a Queue instance and implements the Stack interface by delegating to the queue's methods.
This document discusses design patterns, beginning with how they were introduced in architecture in the 1950s and became popularized by the "Gang of Four" researchers. It defines what patterns are and provides examples of different types of patterns (creational, structural, behavioral) along with common patterns in each category. The benefits of patterns are that they enable reuse, improve communication, and ease the transition to object-oriented development. Potential drawbacks are that patterns do not directly lead to code reuse and can be overused. Effective use requires applying patterns strategically rather than recasting all code as patterns.
The document describes the lifecycle of a JSP page, which includes compilation, initialization, execution, and cleanup. During compilation, the JSP engine checks if the page needs to be compiled or recompiled. Initialization involves calling the jspInit() method. Execution handles requests by calling the _jspService() method. Finally, cleanup occurs when the page is removed, calling the jspDestroy() method.
The document discusses the strategy pattern, which defines a family of algorithms, encapsulates each one, and makes them interchangeable. This allows the algorithm to vary independently from clients that use it. The strategy pattern is applicable when there is a need for multiple classes that differ only in their behavior. It allows selecting different algorithms at runtime for common situations where classes vary by behavior.
In software engineering, behavioral design patterns are design patterns that identify common communication patterns between objects and realize these patterns.
The template method pattern defines a skeleton of an algorithm in an operation, deferring some steps to subclasses. It avoids code duplication by implementing variations of an algorithm in subclasses. Some examples of template patterns include chain of responsibility, command, interpreter, and iterator. The template method pattern defines a template operation that contains abstract and concrete methods. Subclasses implement the abstract methods while calling the concrete methods defined in the superclass. This allows common behavior to be defined while allowing subclasses to provide specific steps.
Je vous partage l'un des présentations que j'ai réalisé lorsque j'étais élève ingénieur pour le module 'Anglais Business ' , utile pour les étudiants souhaitant préparer une présentation en anglais sur les Design Pattern - ou les patrons de conception .
An introduction to structural design patterns in object orientation. Suitable for intermediate to advanced computing students and those studying software engineering.
The Adapter pattern is used to allow an existing Queue class to be used as a Stack. A ClassAdapter inherits from the Stack interface and the Queue class, implementing the stack operations by manipulating the underlying queue. An ObjectAdapter composes a Queue instance and implements the Stack interface by delegating to the queue's methods.
This document discusses design patterns, beginning with how they were introduced in architecture in the 1950s and became popularized by the "Gang of Four" researchers. It defines what patterns are and provides examples of different types of patterns (creational, structural, behavioral) along with common patterns in each category. The benefits of patterns are that they enable reuse, improve communication, and ease the transition to object-oriented development. Potential drawbacks are that patterns do not directly lead to code reuse and can be overused. Effective use requires applying patterns strategically rather than recasting all code as patterns.
The document describes the lifecycle of a JSP page, which includes compilation, initialization, execution, and cleanup. During compilation, the JSP engine checks if the page needs to be compiled or recompiled. Initialization involves calling the jspInit() method. Execution handles requests by calling the _jspService() method. Finally, cleanup occurs when the page is removed, calling the jspDestroy() method.
This document provides an overview of design patterns including their definition, utility, essential elements, and examples. It discusses creational patterns like singleton, factory, and builder. Structural patterns covered include adapter, proxy, and composite. Behavioral patterns like command and iterator are also introduced. The document is presented as a slideshow by Dr. Lilia Sfaxi on design patterns for software engineering.
Design patterns are optimized, reusable solutions to the programming problems that we encounter every day. A design pattern is not a class or a library that we can simply plug into our system; it's much more than that. It is a template that has to be implemented in the correct situation. It's not language-specific either. A good design pattern should be implementable in most—if not all—languages, depending on the capabilities of the language. Most importantly, any design pattern can be a double-edged sword— if implemented in the wrong place, it can be disastrous and create many problems for you. However, implemented in the right place, at the right time, it can be your savior.
Singleton Design Pattern - Creation PatternSeerat Malik
In software engineering, the singleton pattern is a software design pattern that restricts the instantiation of a class to one. This is useful when exactly one object is needed to coordinate actions across the system. The term comes from the mathematical concept of a singleton.
With Code in JAVA
The document provides an overview of the GoF design patterns including the types (creational, structural, behavioral), examples of common patterns like factory, abstract factory, singleton, adapter, facade, iterator, observer, and strategy, and UML diagrams illustrating how the patterns can be implemented. Key aspects of each pattern like intent, relationships, pros and cons are discussed at a high level. The document is intended to introduce software engineers to design patterns and how they can be applied.
Design patterns provide reusable solutions for common problems that occur during software design. There are three main categories of design patterns: creational patterns, which deal with object creation mechanisms; structural patterns, which deal with relationships between entities; and behavioral patterns, which deal with communication between entities. Each design pattern has a name, identifies a problem, proposes a solution to that problem, and outlines the consequences of implementing that solution. Design patterns improve code reuse, documentation, communication between developers, and the transition to object-oriented design. However, patterns do not directly enable code reuse and integrating patterns requires significant human effort.
Name : Prasoon Dadhich
USN : 1MS09IS069
CODE
#include <iostream>
using namespace std;
class Singleton
{
private:
static bool instanceFlag;
static Singleton *single;
Singleton()
{
//private constructor
}
public:
static Singleton* getInstance();
void method();
~Singleton()
{
instanceFlag = false;
}
};
bool Singleton::instanceFlag = false;
Singleton* Singleton::single = NULL;
Singleton* Singleton::getInstance()
{
if(! instanceFlag)
{
single = new Singleton();
instanceFlag = true;
return single;
}
else
{
return single;
}
}
void Singleton::method()
{
cout << "Method of the singleton class" << endl;
}
int main()
{
Singleton *sc1,*sc2;
sc1 = Singleton::getInstance();
sc1->method();
sc2 = Singleton::getInstance();
sc2->method();
return 0;
}
Explanation
If we create any object of this class then the static object (player) will be returned and assigned to the new object.
Finally only one object will be there. The point is not how many times something gets executed, the point is, that the work is done by a single instance of the the class. This is ensured by the class method Singleton::getInstance().
As you can see in the above code,Client can access any instance of the singleton only through the getInstance() method.Once an instance is created,the instanceFlag value becomes true and then any further objects pointers created will be given the reference to the same object that has been created.
Also,make sure you notice the presence of a private constructor.This ensures that no new objects of the class are created and that all the class pointers get the same reference to work on.
Presentation on Template Method Design PatternAsif Tayef
The template method pattern defines the skeleton of an algorithm in a method, deferring some steps to subclasses. This allows subclasses to redefine certain steps of the algorithm while preserving its overall structure. For example, in a game application, the template method pattern could define a playOneGame method containing the overall game play logic, with abstract methods for game initialization, player turns, and end checking that subclasses implement differently for each specific game like Chess and Monopoly. Hook methods allow subclasses optional control over whether to implement additional template method steps.
The Singleton pattern ensures that only one instance of a class is created, and provides a global access point to that instance. There are many objects that only need a single instance, such as thread pools, caches, and objects used for logging or managing preferences. The Singleton pattern solves problems that could occur from instantiating multiple instances of these objects, such as inconsistent behavior or wasted resources. It works by having a class define a static method that returns its sole instance, which is created the first time the method is called.
This document discusses the observer design pattern. It defines the observer pattern as establishing a one-to-many dependency between objects so that when one object changes state, all its dependents are notified and updated automatically. It provides examples of when to use the observer pattern, such as with a stock market notifying individual stocks of changes. The document outlines the structure of the observer pattern, provides class and sequence diagrams, and includes a code demo of implementing the observer pattern with products and subscribers.
This document discusses design patterns, including their definition, elements, and relationship to frameworks. It provides an overview of design patterns, describing them as general and reusable solutions to common software problems. The document outlines the core elements of patterns, such as their name, problem, context, solution, and examples. It also discusses different categories of patterns, such as creational, structural, and behavioral patterns.
The document discusses various design patterns. It begins by explaining that design patterns represent best practices used by experienced software developers to solve common problems. It then discusses the Gang of Four (GOF) patterns, which were identified in 1994 and include creational, structural, and behavioral patterns. Creational patterns like Singleton, Factory Method, Abstract Factory, and Prototype are covered. Structural patterns like Adapter, Bridge, Composite, Decorator, Facade, Flyweight, and Proxy are also introduced. Behavioral patterns like Chain of Responsibility, Command, Interpreter, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method, and Visitor are briefly mentioned as well. The document then discusses some Java Enterprise
This document discusses the observer design pattern. It defines the observer pattern as defining a one-to-many dependency between objects so that when one object changes state, all its dependents are notified. It provides class and sequence diagrams to illustrate the pattern. It also discusses implementing the observer pattern in Java using the built-in Observable and Observer classes.
Use case diagrams are used to visualize how actors interact with a system's functions. They identify the actors, functions (use cases), and relationships between actors and functions. This document discusses the key components of use case diagrams including actors, use cases, system boundary, packages, and relationship types. It provides examples of how use case diagrams are used to gather requirements and provide overviews of system functionality and actor interactions.
This document provides an introduction to design patterns. It begins by explaining what design patterns are, their benefits, and common elements of design patterns like name, problem, solution, and consequences. It then discusses different types of design patterns classified by purpose (creational, structural, behavioral) and scope (class, object). An example of applying the strategy pattern to a duck simulation is used to illustrate how patterns can solve common object-oriented design problems by separating variable aspects from those that remain the same. The document advocates programming to interfaces rather than implementations to avoid tight coupling and allow independent extension of behavior.
This document discusses different types of design patterns including creational, structural, behavioral, and Java EE design patterns. It provides examples of common design patterns like factory, singleton, strategy, observer, MVC, and DAO. Design patterns help provide reusable solutions to common problems in software design, promote code reuse, improve code quality and maintainability, and define standard ways to solve problems.
This document discusses the facade design pattern. The facade pattern provides a simplified interface to a more complex subsystem. It decouples the subsystem from the client and makes the subsystem easier to use. A facade acts as a front-facing interface that hides the underlying complexities of the subsystem and delegates client requests to appropriate subsystem classes. This reduces dependencies between subsystems and promotes loose coupling. The facade pattern is useful for layering subsystems and simplifying access to them through a single interface.
in these slides i have explained the factory method design pattern. slides contains complete notes on this pattern from definition to implementation by code example.
The Observer pattern defines a one-to-many dependency between a subject and any number of observers, such that when the subject's state changes, all observers are notified and updated automatically. It allows one to vary and reuse subject and observer objects independently. The pattern decouples subjects and observers, with subjects maintaining references to observers and notifying them of state changes via a common interface. It is used when a change to one object requires changing others and the number changing is unknown.
This document discusses Java collections framework and various collection classes like ArrayList, LinkedList, HashSet, HashMap etc. It provides definitions and examples of commonly used collection interfaces like List, Set and Map. It explains key features of different collection classes like order, duplicates allowed, synchronization etc. Iterators and generic types are also covered with examples to iterate and create typed collection classes.
Welcome your new digital team member. meet your AI infused agile agentRaghavendra Meharwade
The document discusses opportunities for applying artificial intelligence (AI) to help Scrum Masters and agile teams. It describes how AI could automate certain routine tasks like tracking metrics, managing risks and issues, and facilitating agile ceremonies. A case study is presented of a multi-line insurer that implemented a virtual Scrum Master using AI to gain benefits like reduced hours spent on non-productive and ceremonial tasks. Challenges of adopting a virtual Scrum Master are also outlined, such as data and technology limitations, as well as potential mindset shifts needed to accept AI as a team member.
Introduction to GCP (Google Cloud Platform)Pulkit Gupta
This document outlines a presentation on Google Cloud Platform (GCP) services. The agenda includes an introduction to GCP and its main service, Google Compute Engine (GCE). GCE allows users to create and manage virtual machines on GCP. The presentation defines GCP and its main components like Compute, Storage, Big Data and Machine Learning services. It highlights benefits of GCP such as scalability, mixing services, and competitive pricing. The document demonstrates how to create a virtual machine on GCE and discusses other GCP storage and compute features before concluding with a question and answer session.
This document provides an overview of design patterns including their definition, utility, essential elements, and examples. It discusses creational patterns like singleton, factory, and builder. Structural patterns covered include adapter, proxy, and composite. Behavioral patterns like command and iterator are also introduced. The document is presented as a slideshow by Dr. Lilia Sfaxi on design patterns for software engineering.
Design patterns are optimized, reusable solutions to the programming problems that we encounter every day. A design pattern is not a class or a library that we can simply plug into our system; it's much more than that. It is a template that has to be implemented in the correct situation. It's not language-specific either. A good design pattern should be implementable in most—if not all—languages, depending on the capabilities of the language. Most importantly, any design pattern can be a double-edged sword— if implemented in the wrong place, it can be disastrous and create many problems for you. However, implemented in the right place, at the right time, it can be your savior.
Singleton Design Pattern - Creation PatternSeerat Malik
In software engineering, the singleton pattern is a software design pattern that restricts the instantiation of a class to one. This is useful when exactly one object is needed to coordinate actions across the system. The term comes from the mathematical concept of a singleton.
With Code in JAVA
The document provides an overview of the GoF design patterns including the types (creational, structural, behavioral), examples of common patterns like factory, abstract factory, singleton, adapter, facade, iterator, observer, and strategy, and UML diagrams illustrating how the patterns can be implemented. Key aspects of each pattern like intent, relationships, pros and cons are discussed at a high level. The document is intended to introduce software engineers to design patterns and how they can be applied.
Design patterns provide reusable solutions for common problems that occur during software design. There are three main categories of design patterns: creational patterns, which deal with object creation mechanisms; structural patterns, which deal with relationships between entities; and behavioral patterns, which deal with communication between entities. Each design pattern has a name, identifies a problem, proposes a solution to that problem, and outlines the consequences of implementing that solution. Design patterns improve code reuse, documentation, communication between developers, and the transition to object-oriented design. However, patterns do not directly enable code reuse and integrating patterns requires significant human effort.
Name : Prasoon Dadhich
USN : 1MS09IS069
CODE
#include <iostream>
using namespace std;
class Singleton
{
private:
static bool instanceFlag;
static Singleton *single;
Singleton()
{
//private constructor
}
public:
static Singleton* getInstance();
void method();
~Singleton()
{
instanceFlag = false;
}
};
bool Singleton::instanceFlag = false;
Singleton* Singleton::single = NULL;
Singleton* Singleton::getInstance()
{
if(! instanceFlag)
{
single = new Singleton();
instanceFlag = true;
return single;
}
else
{
return single;
}
}
void Singleton::method()
{
cout << "Method of the singleton class" << endl;
}
int main()
{
Singleton *sc1,*sc2;
sc1 = Singleton::getInstance();
sc1->method();
sc2 = Singleton::getInstance();
sc2->method();
return 0;
}
Explanation
If we create any object of this class then the static object (player) will be returned and assigned to the new object.
Finally only one object will be there. The point is not how many times something gets executed, the point is, that the work is done by a single instance of the the class. This is ensured by the class method Singleton::getInstance().
As you can see in the above code,Client can access any instance of the singleton only through the getInstance() method.Once an instance is created,the instanceFlag value becomes true and then any further objects pointers created will be given the reference to the same object that has been created.
Also,make sure you notice the presence of a private constructor.This ensures that no new objects of the class are created and that all the class pointers get the same reference to work on.
Presentation on Template Method Design PatternAsif Tayef
The template method pattern defines the skeleton of an algorithm in a method, deferring some steps to subclasses. This allows subclasses to redefine certain steps of the algorithm while preserving its overall structure. For example, in a game application, the template method pattern could define a playOneGame method containing the overall game play logic, with abstract methods for game initialization, player turns, and end checking that subclasses implement differently for each specific game like Chess and Monopoly. Hook methods allow subclasses optional control over whether to implement additional template method steps.
The Singleton pattern ensures that only one instance of a class is created, and provides a global access point to that instance. There are many objects that only need a single instance, such as thread pools, caches, and objects used for logging or managing preferences. The Singleton pattern solves problems that could occur from instantiating multiple instances of these objects, such as inconsistent behavior or wasted resources. It works by having a class define a static method that returns its sole instance, which is created the first time the method is called.
This document discusses the observer design pattern. It defines the observer pattern as establishing a one-to-many dependency between objects so that when one object changes state, all its dependents are notified and updated automatically. It provides examples of when to use the observer pattern, such as with a stock market notifying individual stocks of changes. The document outlines the structure of the observer pattern, provides class and sequence diagrams, and includes a code demo of implementing the observer pattern with products and subscribers.
This document discusses design patterns, including their definition, elements, and relationship to frameworks. It provides an overview of design patterns, describing them as general and reusable solutions to common software problems. The document outlines the core elements of patterns, such as their name, problem, context, solution, and examples. It also discusses different categories of patterns, such as creational, structural, and behavioral patterns.
The document discusses various design patterns. It begins by explaining that design patterns represent best practices used by experienced software developers to solve common problems. It then discusses the Gang of Four (GOF) patterns, which were identified in 1994 and include creational, structural, and behavioral patterns. Creational patterns like Singleton, Factory Method, Abstract Factory, and Prototype are covered. Structural patterns like Adapter, Bridge, Composite, Decorator, Facade, Flyweight, and Proxy are also introduced. Behavioral patterns like Chain of Responsibility, Command, Interpreter, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method, and Visitor are briefly mentioned as well. The document then discusses some Java Enterprise
This document discusses the observer design pattern. It defines the observer pattern as defining a one-to-many dependency between objects so that when one object changes state, all its dependents are notified. It provides class and sequence diagrams to illustrate the pattern. It also discusses implementing the observer pattern in Java using the built-in Observable and Observer classes.
Use case diagrams are used to visualize how actors interact with a system's functions. They identify the actors, functions (use cases), and relationships between actors and functions. This document discusses the key components of use case diagrams including actors, use cases, system boundary, packages, and relationship types. It provides examples of how use case diagrams are used to gather requirements and provide overviews of system functionality and actor interactions.
This document provides an introduction to design patterns. It begins by explaining what design patterns are, their benefits, and common elements of design patterns like name, problem, solution, and consequences. It then discusses different types of design patterns classified by purpose (creational, structural, behavioral) and scope (class, object). An example of applying the strategy pattern to a duck simulation is used to illustrate how patterns can solve common object-oriented design problems by separating variable aspects from those that remain the same. The document advocates programming to interfaces rather than implementations to avoid tight coupling and allow independent extension of behavior.
This document discusses different types of design patterns including creational, structural, behavioral, and Java EE design patterns. It provides examples of common design patterns like factory, singleton, strategy, observer, MVC, and DAO. Design patterns help provide reusable solutions to common problems in software design, promote code reuse, improve code quality and maintainability, and define standard ways to solve problems.
This document discusses the facade design pattern. The facade pattern provides a simplified interface to a more complex subsystem. It decouples the subsystem from the client and makes the subsystem easier to use. A facade acts as a front-facing interface that hides the underlying complexities of the subsystem and delegates client requests to appropriate subsystem classes. This reduces dependencies between subsystems and promotes loose coupling. The facade pattern is useful for layering subsystems and simplifying access to them through a single interface.
in these slides i have explained the factory method design pattern. slides contains complete notes on this pattern from definition to implementation by code example.
The Observer pattern defines a one-to-many dependency between a subject and any number of observers, such that when the subject's state changes, all observers are notified and updated automatically. It allows one to vary and reuse subject and observer objects independently. The pattern decouples subjects and observers, with subjects maintaining references to observers and notifying them of state changes via a common interface. It is used when a change to one object requires changing others and the number changing is unknown.
This document discusses Java collections framework and various collection classes like ArrayList, LinkedList, HashSet, HashMap etc. It provides definitions and examples of commonly used collection interfaces like List, Set and Map. It explains key features of different collection classes like order, duplicates allowed, synchronization etc. Iterators and generic types are also covered with examples to iterate and create typed collection classes.
Welcome your new digital team member. meet your AI infused agile agentRaghavendra Meharwade
The document discusses opportunities for applying artificial intelligence (AI) to help Scrum Masters and agile teams. It describes how AI could automate certain routine tasks like tracking metrics, managing risks and issues, and facilitating agile ceremonies. A case study is presented of a multi-line insurer that implemented a virtual Scrum Master using AI to gain benefits like reduced hours spent on non-productive and ceremonial tasks. Challenges of adopting a virtual Scrum Master are also outlined, such as data and technology limitations, as well as potential mindset shifts needed to accept AI as a team member.
Introduction to GCP (Google Cloud Platform)Pulkit Gupta
This document outlines a presentation on Google Cloud Platform (GCP) services. The agenda includes an introduction to GCP and its main service, Google Compute Engine (GCE). GCE allows users to create and manage virtual machines on GCP. The presentation defines GCP and its main components like Compute, Storage, Big Data and Machine Learning services. It highlights benefits of GCP such as scalability, mixing services, and competitive pricing. The document demonstrates how to create a virtual machine on GCE and discusses other GCP storage and compute features before concluding with a question and answer session.
This document discusses approaches to implementing DevOps within a SAFe framework. It covers identifying value threads to optimize delivery and organizing teams around them. It also addresses making economically viable decisions about release batch sizes by considering transaction and holding costs. Finally, it discusses planning the adoption of DevOps in an enterprise by starting with particular value threads and validating hypotheses through learning cycles.
Listen to the Recording Here - https://www.realstorygroup.com/WCMin2016
As you devise or refine your digital strategies for 2016 and beyond, you’ll want to ensure that you have the right Web Content & Experience Management (WCM) foundation in place.
New architectural approaches and the need to inject content into diverse applications and channels are compelling enterprises to rethink their approach to WCM technology.
For some, this will result in selecting a new WCM system — either from scratch, or to supplement or replace an existing system that no longer suffices. If you’re considering a new Web CMS, then join Tony for this fast-paced tutorial.
The webinar will critically assess the current marketplace, explore future trends, and outline best practices for a successful WCM product selection in this new WCM world. Based on 15 years of experience helping WCM customers select the right tools, Tony will reveal key pitfalls to avoid, allowing you to learn from others' mistakes.
Listen to the Recording Here - https://www.realstorygroup.com/WCMin2016
1) The document discusses the evolution of agile tools from the 1960s to present day, including the development of Scrum, Kanban, SAFe, and other frameworks.
2) It describes how current agile tools are incorporating artificial intelligence capabilities like predictive analytics, natural language processing, and machine learning to provide more insights.
3) The presentation aims to outline a "Mission 2020" for agile practitioners to explore new AI-enabled tools and technologies and help drive the integration of AI into agile practices.
Although decision trees have been in development and used for over 50 years, many new forms are evolving that promise to provide exciting new capabilities in areas of Data Mining and Machine Learning.
Learn the importance and concept of Decision Tree Analysis and how one can analyse data.
Learn how AWS is being used to help industrial companies unleash the value of operational data, drive cultural change, augment plant technology with artificial intelligence an build an ecosystem of innovators an entrepreneaurs to revitalise heavy industry.
The document discusses ActOnMagic Cloud Essentials (ACE), a hybrid cloud analytics store. ACE can be used by service providers, enterprises, and consumers to gain insights into customer churn, ROI prediction, bundling strategy, effective campaigns, and capacity planning. It provides a low-cost, high-value solution for business decisions and transparency. The document advertises a private beta for ACE and provides a website and signup code.
Ever wondered how computers recognize and track human faces? Netlighter Saksham Gautam held a talk at Netlight Grand Edge Data Munich and dissected this seemingly complex problem of object recognition and tracking into digestible pieces. You will get a good understanding of what happens behind the scenes when, for instance, you walk through automatic passport control at the airport, or how Google's self driven car 'sees' the road signs. We will see how these generic algorithms and techniques can be applied to other machine learning and pattern recognition problems as well.
Machine Learning in Computer Vision 101
Presentation that I gave at Netlight in one of the events as an introduction to machine learning with computer vision as the use case.
Abstract:
Ever wondered how computers recognize and track human faces? The session will dissect this seemingly complex problem of object recognition and tracking into digestible pieces. You will get a good understanding of what happens behind the scenes when, for instance, you walk through automatic passport control at the airport, or how Google's self driven car 'sees' the road signs. We will see how these generic algorithms and techniques can be applied to other machine learning and pattern recognition problems as well.
Meet Preston, and Explore Your Digital Twin in Virtual Reality (GPSTEC321) - ...Amazon Web Services
Take a journey with Preston, an Amazon Sumerian host, to diagnose and explore a 3D printed jet engine in virtual reality. Preston follows your commands to control and explore different parts of the engine. Preston can also show you the future state of your machine in virtual reality and provide recommendations by analyzing data collected from a physical jet turbine engine using IoT sensors. Learn how to build your own virtual assistant with Amazon AI services, AWS IoT services, and Amazon Sumerian virtual reality.
SAS is a leader in analytics software and services. It helps customers at over 80,000 sites make better decisions faster through innovative analytics, business intelligence, and data management tools. SAS can uniquely enable activities around data discovery and deployment across the analytics lifecycle. It recently released SAS Viya, a new open platform built for analytics innovation that allows customers to execute analytics anywhere and access data from any system.
Simen Munter leads one of the largest robotic workforces for a global bank across four locations. Mohit Sharma has over 20 years of experience in strategy, finance, and risk management and has authored research on robotics process automation (RPA). The document discusses the importance of governance in automation, including aligning deployments with enterprise strategy, defining technology platforms and development patterns, and installing the right people. It provides examples of key elements of governance like access controls, change management policies, and operational risk impact assessments. Common myths about risks of RPA are also debunked.
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing you to develop new tools and enrich your systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
A tour of the evolution of data analytics use cases through time, from the early CRM data analysis to the more complex IoT sensor-based applications, of course using KNIME.
This document provides an agenda and overview for an MLOps workshop hosted by Amazon Web Services. The agenda includes introductions to Amazon AI, MLOps, Amazon SageMaker, machine learning pipelines, and a hands-on exercise to build an MLOps pipeline. It discusses key concepts like personas in MLOps, the CRISP-DM process, microservices deployment, and challenges of MLOps. It also provides overviews of Amazon SageMaker for machine learning and AWS services for continuous integration/delivery.
IRJET- Supply Chain Network Design for Plant Location and Selection of Capaci...IRJET Journal
This document discusses optimizing the supply chain network design for pump manufacturing companies. It involves deciding which locations to open manufacturing plants and what production capacity levels to use. The modeling framework presented formulates the problem as a linear optimization model that minimizes total costs while meeting demand across markets. Data was collected from four pump companies and their supply chain networks were analyzed in Lingo software. For each company, it was determined that a new low capacity manufacturing plant should be opened in a specific state to improve the supply chain network design.
Are you looking to enable contextual, consistent, and relevant experiences regardless of channel or device throughout the customer journey - in real-time? SAP Hybris can help! Learn more about creating your own microservices solution with yaas, by SAP Hybris.
Grassroots Kanban – An Evolutionary Approach To ChangeSynerzip
Many organizations are unaware of the benefits of Kanban. DrillingInfo was one of these companies. Using LKU’s techniques and approach to evolutionary change has created a revolution in the organization.
This session will share the case study of a Kanban transformation of DrillingInfo a $100 million private technology energy company and what techniques were used to drive influence to change.
Original copy for details at https://www.synerzip.com/webinar/grassroots-kanban-an-evolutionary-approach-to-change-march-23-2016/
Incident management in Jira focuses on short-term solutions to unplanned interruptions in systems or services. The Jira Service Desk template includes an incident workflow that guides users to log, diagnose, and resolve incidents. This process involves service members reporting issues, the service desk logging and categorizing incidents, prioritizing response, escalating if needed, resolving the underlying problem, verifying the fix, and closing the incident. Postmortem reports and incident response reports provide documentation and analysis after significant incidents.
Extreme programming, founded by Kent Beck one of the original signatories of Agile Manifesto is a lightweight agile methodology of agile software development and engineering .
The document repeats the same line "Jyaasa : We Design, Build and Develop Products" 20 times without providing any other context or information. It does not have a clear topic or message that can be summarized in 3 sentences or less.
Microservices is an architectural style that structures an application as a collection of
loosely coupled services, which implement business capabilities.
The document discusses the facade pattern in Ruby on Rails applications. It describes the facade pattern as providing a unified interface to isolate complexity and hide subsystem interfaces. It then gives an example of using a facade pattern to simplify a chat room controller in Rails that was preparing a lot of data. A ChatRoomsFacade class is created that initializes the necessary data, allowing the controller to be simplified by just initializing the facade. The facade pattern hides complexity and provides a single interface, simplifying controllers in Rails especially for larger projects.
a type of digital currency in which encryption techniques are used to regulate the generation of units of currency and verify the transfer of funds, operating independently of a central bank.
Tor is free software that enables anonymous communication. It conceals a user's location and usage through a network of over 7,000 relays. Tor implements onion routing, which encrypts data including destination IP addresses and passes encrypted data through multiple relays, each decrypting a single layer to reveal only the next relay. This allows anonymously browsing the internet, protecting privacy and security such as from government surveillance disclosed by Edward Snowden.
What is collective code ownership in agile teams? what are its advantages? .What are the common pitfalls of it ?.
What would be the ways to implement into software development teams. If you would like to talk more on the topic feel free to email kapil@jyaasa.com
This document discusses using Pusher for push notifications. Pusher allows sending push notifications from a backend server to user interfaces like mobile and desktop apps. It avoids problems with polling by using websockets for real-time notifications. The document explains how to set up Pusher by creating an account and app, and integrating it into server-side code using various languages like Ruby, and client-side code using JavaScript or React Native.
The document outlines the 5 key stages in the design thinking process: empathize, define, ideate, prototype, and test. It describes each stage in detail. Empathize involves understanding users through observation and interviews. Define brings clarity to the problem based on user needs. Ideate focuses on generating many creative solutions through brainstorming. Prototype creates artifacts to test possibilities. Test gets feedback from users to refine solutions and further learn about the user. The overall process is presented as human-centered, iterative, and solution-focused.
This document discusses user stories, which are short descriptions of a desired new feature written from the perspective of users or customers. User stories should keep it simple and focus on who wants the feature, what they want to accomplish, and why. They are important because they provide precise yet spare information that is useful for planning and understandable to both technical and non-technical people.
A Design sprint is a time-constrained, five-phase process that uses design thinking to reduce the risk when bringing a new product, service or a feature to the market.
A data flow diagram (DFD) illustrates how data is processed by a system in terms of inputs and outputs. As its name indicates its focus is on the flow of information, where data comes from, where it goes and how it gets stored.
Objectives and Key Results (OKR) is a popular technique for setting and communicating goals and results in organizations. Its main goal is to connect company, team and personal objectives to measurable results, making people move together in right direction.
The document discusses using Vue.js to reduce complexity in web development. It introduces some key concepts in Vue.js like data binding with v-model, conditional rendering with v-if, listing data with v-for, handling events with v-on, and conditional rendering with v-if and v-show. It also provides examples of how to install Vue.js via npm, bower or CDN, and basic usage with el, data, methods. Towards the end, it mentions running a demo customer management app using Vue and Rails.
The document discusses Active Record attributes in Rails 5. It explains that Active Record's detected attribute types can be overridden with the attribute method. The attribute method can also define a default value and specify if an attribute is an array or range. Attributes do not require a matching database column. Examples demonstrate overriding an attribute type from decimal to integer, setting default values, and defining array attributes.
The document discusses various types of associations in Rails including belongs_to, has_one, has_many, has_many :through, has_one :through, has_and_belongs_to_many, and polymorphic associations. It provides examples of how to declare each association type in the model and how to set up the corresponding database migrations. It also covers choosing between different association types and using self-joins for models that associate with themselves.
The document discusses visual hierarchy and layout patterns in web design. It describes the F-pattern and Z-pattern layouts. The F-pattern follows the shape of the letter F as users first scan horizontally across the top of the page from left to right. The Z-pattern aims to anticipate the user's needs by presenting key information like branding, calls-to-action, and structure up front. Both patterns aim to create a natural reading flow that guides users efficiently through content.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
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Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
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aasa.com
Wikipedia Definition
the strategy pattern (also known as the policy pattern) is
a software design pattern that enables an algorithm's
behavior to be selected at runtime. The strategy pattern
● defines a family of algorithms,
● encapsulates each algorithm, and
● makes the algorithms interchangeable within that
family.
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When to Use?
Shopping Mall Example
- Accept customer detail
- Calculate bill amount
- Apply discount based on the day of week
- Monday - High discount (10%)
- Friday - Low discount (5%)
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Where does the discount logic reside?
Inside ShoppingMall class
Or
Outside ShoppingMall class
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Open closed principle
- software entities (classes, modules, functions, etc.) should be open
for extension, but closed for modification
- New discount logic may be applied in future
- Not reusable - Same discount strategy can be use in other shopping
mall
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Separate discount logic from ShoppingMall class