This document provides a tutorial for creating organic 3D ribbon effects in Flash CS3 or later using ActionScript 3.0. It explains how to generate stunning, colorful ribbon patterns that react to user interaction. The tutorial walks through setting up variables and classes to define ribbon particles and their properties. Methods are described for moving the particles to create flowing ribbons, calculating virtual points around each particle, and drawing ribbon segments between points. Adjusting various parameters allows generating different ribbon effects that could be used for visualizations or animations. The full source code is provided to experiment with and modify to create custom ribbon animations.
The document provides an overview of using the Migrate module in Drupal to import content from an old website into Drupal. It discusses the key components of Migrate, including sources, destinations, field mappings, and migrations. Sources interface with the original data, destinations save to Drupal entities, mappings link source and destination fields, and migrations configure the other components and control the import process. Field handlers format source values into the structure Drupal fields require. The document aims to explain the Migrate framework and convince readers to use it over custom scripts or just Feeds for content migrations.
This document provides an overview of intrinsic safety and why it is chosen for instrumentation systems in hazardous areas. It discusses that intrinsic safety (1) prevents explosions by ensuring low energy levels, (2) can be used in all zones as it is the only technique proven safe in Zone 0, and (3) permits live maintenance without gas clearance as fault conditions are considered in the design. Intrinsic safety works by restricting electrical energy to below ignition levels and uses three levels ('ia', 'ib', 'ic') that balance explosion risk against ignition risk for the zone.
This document is the introduction chapter of "The Practical Guide to Hazardous Area Classification" by Abhisam Software. It defines hazardous areas as industrial workplaces that produce, process, handle or store potentially explosive materials. It notes that hazardous areas are not limited to chemical plants, but can include places like grain silos, flour mills, coal mines, oil tankers, refineries, gas power plants and gas stations. The introduction stresses that proper area classification and safety engineering practices are needed to reduce the risk of fires and explosions in these hazardous locations.
Explosion protection theory and practiceDavid Pires
This document provides an overview of explosion protection principles and guidelines. It discusses the risks of explosions from combustible gases, vapors, and dusts. It also summarizes the key standards and directives around explosion protection from Europe (ATEX), North America (NEC/CEC), and international standards. The document outlines explosion protection concepts like classification of hazardous areas, protection types, and conformity assessment procedures.
The document provides information on hazardous area classification standards and compares the International Electrotechnical Commission (IEC) Zone system to the National Electric Code (NEC) Class/Division system. It defines IEC Zones 0, 1, and 2 and examples of how different areas would be classified. Protection techniques like flameproof, increased safety, and intrinsic safety used in both systems are also discussed. Charts are included that compare gas groups, temperature classifications, equipment standards, and protection methods between the IEC and NEC/Canadian Electric Code systems.
This tutorial explains how to create a simple particle system in Flash using ActionScript 3. Key steps include:
1. Creating a symbol to represent individual particles and exporting it for ActionScript.
2. Defining a Particle class with properties like position, velocity, and a constructor to initialize new particles.
3. Installing an ENTER_FRAME listener to call an update method each frame, incrementing the particle's position.
4. Adding random velocity, looping through an array of particles to update them, and removing old particles to maintain a constant number. With just a few lines of code, complex particle effects can be achieved.
Designing A Project Using Java ProgrammingKaty Allen
The document discusses the Connector class in the NS simulator. The Connector class is a subclass of NsObject and is the superclass for basic network components that handle packets, such as hubs and links. Connector objects have a single output queue, while Classifier objects can have multiple output queues. When packets traverse connections in the NS simulator, various follow objects are embedded in the connections to log events such as enqueue, dequeue, drop, and receive to trace packet flow.
This document provides an introduction to using R for statistical analysis and visualization. It discusses what R is, why it is useful, and 12 reasons to learn R. These include benefits like rigor in data analysis, reproducibility through scripting, access to cutting-edge statistical methods, powerful and customizable graphics, and that it is free and open-source. The document then provides resources for learning R, including tutorials, packages of interest, and how to download the software. It concludes with exercises walking through basic R concepts like vectors, matrices, data frames, importing data from a CSV file, subsetting data, and simple plotting.
The document provides an overview of using the Migrate module in Drupal to import content from an old website into Drupal. It discusses the key components of Migrate, including sources, destinations, field mappings, and migrations. Sources interface with the original data, destinations save to Drupal entities, mappings link source and destination fields, and migrations configure the other components and control the import process. Field handlers format source values into the structure Drupal fields require. The document aims to explain the Migrate framework and convince readers to use it over custom scripts or just Feeds for content migrations.
This document provides an overview of intrinsic safety and why it is chosen for instrumentation systems in hazardous areas. It discusses that intrinsic safety (1) prevents explosions by ensuring low energy levels, (2) can be used in all zones as it is the only technique proven safe in Zone 0, and (3) permits live maintenance without gas clearance as fault conditions are considered in the design. Intrinsic safety works by restricting electrical energy to below ignition levels and uses three levels ('ia', 'ib', 'ic') that balance explosion risk against ignition risk for the zone.
This document is the introduction chapter of "The Practical Guide to Hazardous Area Classification" by Abhisam Software. It defines hazardous areas as industrial workplaces that produce, process, handle or store potentially explosive materials. It notes that hazardous areas are not limited to chemical plants, but can include places like grain silos, flour mills, coal mines, oil tankers, refineries, gas power plants and gas stations. The introduction stresses that proper area classification and safety engineering practices are needed to reduce the risk of fires and explosions in these hazardous locations.
Explosion protection theory and practiceDavid Pires
This document provides an overview of explosion protection principles and guidelines. It discusses the risks of explosions from combustible gases, vapors, and dusts. It also summarizes the key standards and directives around explosion protection from Europe (ATEX), North America (NEC/CEC), and international standards. The document outlines explosion protection concepts like classification of hazardous areas, protection types, and conformity assessment procedures.
The document provides information on hazardous area classification standards and compares the International Electrotechnical Commission (IEC) Zone system to the National Electric Code (NEC) Class/Division system. It defines IEC Zones 0, 1, and 2 and examples of how different areas would be classified. Protection techniques like flameproof, increased safety, and intrinsic safety used in both systems are also discussed. Charts are included that compare gas groups, temperature classifications, equipment standards, and protection methods between the IEC and NEC/Canadian Electric Code systems.
This tutorial explains how to create a simple particle system in Flash using ActionScript 3. Key steps include:
1. Creating a symbol to represent individual particles and exporting it for ActionScript.
2. Defining a Particle class with properties like position, velocity, and a constructor to initialize new particles.
3. Installing an ENTER_FRAME listener to call an update method each frame, incrementing the particle's position.
4. Adding random velocity, looping through an array of particles to update them, and removing old particles to maintain a constant number. With just a few lines of code, complex particle effects can be achieved.
Designing A Project Using Java ProgrammingKaty Allen
The document discusses the Connector class in the NS simulator. The Connector class is a subclass of NsObject and is the superclass for basic network components that handle packets, such as hubs and links. Connector objects have a single output queue, while Classifier objects can have multiple output queues. When packets traverse connections in the NS simulator, various follow objects are embedded in the connections to log events such as enqueue, dequeue, drop, and receive to trace packet flow.
This document provides an introduction to using R for statistical analysis and visualization. It discusses what R is, why it is useful, and 12 reasons to learn R. These include benefits like rigor in data analysis, reproducibility through scripting, access to cutting-edge statistical methods, powerful and customizable graphics, and that it is free and open-source. The document then provides resources for learning R, including tutorials, packages of interest, and how to download the software. It concludes with exercises walking through basic R concepts like vectors, matrices, data frames, importing data from a CSV file, subsetting data, and simple plotting.
How to create a neural network that detects people wearing masks. Ultimate description, the A-to-Z workflow for creating a neural network that recognizes images.
A short intro to the paper: https://blog.fulcrum.rocks/neural-network-image-recognition
Designing a neural network architecture for image recognitionShandukaniVhulondo
The document discusses the design of a basic neural network architecture for image recognition. It begins by outlining a simple design with dense layers but notes this does not work well for images. Convolutional layers are introduced to help detect patterns regardless of location. Max pooling and dropout layers are also discussed to make the network more efficient and robust. The document provides examples of how these various layer types work and combines them into a basic convolutional block that can be stacked for more complex images.
This document provides an introduction and overview of HTML5 Canvas. It discusses the <canvas> element, rendering contexts, basic usage, drawing shapes like rectangles, and providing fallback content for browsers that do not support Canvas. The key points are that <canvas> creates a fixed-size drawing surface, the 2D rendering context is used to draw on the canvas, and basic shapes like rectangles can be drawn using functions like fillRect(), strokeRect(), and clearRect().
This document provides instructions for setting up a demonstration of the magic_model_generator gem. It mentions setting up the database.yml file and increasing the font size. It also provides commands for starting the postgres database, generating models from existing tables, and preparing the development environment for the demo.
Productive Use of the Apache Spark Prompt with Sam PenroseDatabricks
Effective programmers work in tight loops: making a small code edit, observing its effect on their system, and repeating. When your data is too big to read and your system isn’t local, println() won’t work. Fortunately, the Spark DataFrame and Dataset APIs have your back. Attendees will leave with better tools for exploring large datasets and debugging distributed code with Spark, and a better mental model of distributed programming at scale.
This document provides a variety of problem-solving challenges and exercises across different domains including programming, mathematics, web design, and general relativity. Some of the challenges include:
1) Programming problems and exercises related to languages like PHP, Python, JavaScript, and Windows batch. Examples include coding challenges, test generators, and automating file operations.
2) Mathematics exercises from an introduction to general relativity textbook, involving checking tensor properties and transformations under changes of coordinates.
3) Web design wireframes and challenges that incorporate all CSS features, including creating slideshows, responsive layouts, and incorporating things like animations and social media feeds.
4) Additional problem domains covered include recognizing 3D shapes in photos,
This document provides an introduction to threads, events, and mutexes in C# classes. It begins with a basic example of creating a thread to call a method. Subsequent examples demonstrate passing delegate methods to threads, using the Sleep method to simulate multithreading, and accessing the CurrentThread property. The document also notes that the Thread class is sealed and cannot be inherited from.
A Methodology for the Emulation of Boolean Logic that Paved the Way for the S...ricky_pi_tercios
This document proposes a methodology called Maze for investigating linked lists and emulating Boolean logic. Maze visualizes superpages and aims to overcome issues with existing approaches. It consists of a virtual machine monitor and codebase that seeks to solve challenges like caching algorithms independently and controlling voice-over-IP without context-free grammar. The implementation contains thousands of lines of code in various programming languages.
BMVA summer school MATLAB programming tutorialpotaters
This document discusses improving the runtime performance of MATLAB code through vectorization. It provides an example of an inefficient MATLAB function that approximates cycles of a square wave using sine waves. To optimize this code, the document suggests manipulating arrays rather than individual array elements, which can be done by removing the nested for loops. Vectorizing the code to operate on entire arrays at once rather than elements sequentially would improve performance. Profiling the code using MATLAB's profiler tool can help identify bottlenecks to target for optimization.
- Tensor Flow is a library for large-scale machine learning and deep learning using data flow graphs. Nodes in the graph represent operations and edges represent multidimensional data arrays called tensors.
- It supports CPU and GPU processing on desktops, servers, and mobile devices. Models can be visualized using TensorBoard.
- An example shows how to build an image classifier using transfer learning with the Inception model. Images are retrained on flower categories to classify new images.
- Distributed Tensor Flow allows a graph to run across multiple machines in a cluster for greater performance.
Vectors are the same as dynamic arrays with the ability to resize itself automatically when an element is inserted or deleted, with their storage being handled automatically by the container. Vector elements are placed in contiguous storage so that they can be accessed and traversed using iterators. In vectors, data is inserted at the end. Inserting at the end takes differential time, as sometimes the array may need to be extended. Removing the last element takes only constant time because no resizing happens. Inserting and erasing at the beginning or in the middle is linear in time.
What is std::vector in C++?
std::vector in C++ is the class template that contains the vector container and its member functions. It is defined inside the <vector> header file. The member functions of std::vector class provide various functionalities to vector containers. Some commonly used member functions are written below:
Iterators
begin() – Returns an iterator pointing to the first element in the vector
end() – Returns an iterator pointing to the theoretical element that follows the last element in the vector
rbegin() – Returns a reverse iterator pointing to the last element in the vector (reverse beginning). It moves from last to first element
rend() – Returns a reverse iterator pointing to the theoretical element preceding the first element in the vector (considered as reverse end)
cbegin() – Returns a constant iterator pointing to the first element in the vector.
cend() – Returns a constant iterator pointing to the theoretical element that follows the last element in the vector.
crbegin() – Returns a constant reverse iterator pointing to the last element in the vector (reverse beginning). It moves from last to first element
crend() – Returns a constant reverse iterator pointing to the theoretical element preceding the first element in the vector (considered as reverse end)
Capacity
size() – Returns the number of elements in the vector.
max_size() – Returns the maximum number of elements that the vector can hold.
capacity() – Returns the size of the storage space currently allocated to the vector expressed as number of elements.
resize(n) – Resizes the container so that it contains ‘n’ elements.
empty() – Returns whether the container is empty.
shrink_to_fit() – Reduces the capacity of the container to fit its size and destroys all elements beyond the capacity.
reserve() – Requests that the vector capacity be at least enough to contain n elements.
Element access
reference operator [g] – Returns a reference to the element at position ‘g’ in the vector
at(g) – Returns a reference to the element at position ‘g’ in the vector
front() – Returns a reference to the first element in the vector
back() – Returns a reference to the last element in the vector
data() – Returns a direct pointer to the memory array used internally by the vector to store its owned elements.
Modifiers
assign() – It assigns new value to the vector elements by replacing old ones
Join this video course on Udemy. Click the below link
https://www.udemy.com/mastering-rtos-hands-on-with-freertos-arduino-and-stm32fx/?couponCode=SLIDESHARE
>> The Complete FreeRTOS Course with Programming and Debugging <<
"The Biggest objective of this course is to demystifying RTOS practically using FreeRTOS and STM32 MCUs"
STEP-by-STEP guide to port/run FreeRTOS using development setup which includes,
1) Eclipse + STM32F4xx + FreeRTOS + SEGGER SystemView
2) FreeRTOS+Simulator (For windows)
Demystifying the complete Architecture (ARM Cortex M) related code of FreeRTOS which will massively help you to put this kernel on any target hardware of your choice.
This document summarizes a student project on handwriting recognition of Hindi numerals using a Self-Organizing Map module. The student developed an approach using SOM for Hindi numeral recognition to increase accuracy of recognized letters. SOM is an artificial neural network that can recognize patterns through learning. It was trained on a dataset of Hindi numerals to classify input patterns. Evaluation showed the system achieved the goal of increased recognition accuracy of Hindi numerals.
The document describes an iLab assignment to modify an Employee class to demonstrate composition and interfaces. Key points:
- Create a Benefits class to hold an employee's benefits like health insurance, life insurance, and vacation.
- Integrate the Benefits class into the Employee class using composition.
- Create an abstract iEmployee interface to guarantee the Employee class implements the calculatePay method.
- The goal is to enhance the existing Employee class from previous labs by adding benefits through composition and using interfaces.
This document outlines lab work assignments for an object-oriented programming course. The assignments include:
1) Creating a class to register student details and prevent duplicate entries.
2) Creating a banking account class to perform deposit, withdrawal, and statement printing transactions.
3) Creating a mobile phone class to store phone details and allow user login/selection of products to calculate total cost.
Don't be fooled by the thumbnail - the first couple of slides are a silly joke I forgot to remove before uploading.
Presentation derived from the "What's new in Python 2.4" document on http://www.python.org/ including much reformatting for presenting and presenter notes.
Please download the Keynote original - that way the presentation notes aren't burned into the slides.
A Pointing Gesture-based Signal to Text Communication System Using OpenCV in ...IRJET Journal
This document presents a system for real-time pointing gesture tracking and recognition using computer vision techniques in OpenCV and Python. The system detects a colored fingertip in video frames and applies optical character recognition to recognize the intended text. It tracks the fingertip contour across frames, stores the coordinates, and draws the trajectory to convert gestures to text without requiring additional hardware inputs. While the current system works well, it is limited by being sensitive to other colored objects in the background that could interfere with fingertip detection. Overall, the paper proposes and discusses an air writing system using computer vision to enable natural human-computer interaction through gesture recognition.
Apostila de como fazer e usar certas técnicas de criptografia utilizando dos preceitos e teorias mais conhecidos no mercado. Vários capítulos descrevem e demonstrar como fazer toda a parte criptográfica desde os simples métodos até os mais complicados. Não cobre tudo, mas ajudo muito.
O documento fornece um guia rápido sobre o que é o Dropbox e como usá-lo. O Dropbox permite armazenar e acessar arquivos de qualquer dispositivo de forma sincronizada através da nuvem. Os usuários podem adicionar arquivos arrastando-os para a pasta do Dropbox e compartilhar arquivos e pastas com outros através de links.
How to create a neural network that detects people wearing masks. Ultimate description, the A-to-Z workflow for creating a neural network that recognizes images.
A short intro to the paper: https://blog.fulcrum.rocks/neural-network-image-recognition
Designing a neural network architecture for image recognitionShandukaniVhulondo
The document discusses the design of a basic neural network architecture for image recognition. It begins by outlining a simple design with dense layers but notes this does not work well for images. Convolutional layers are introduced to help detect patterns regardless of location. Max pooling and dropout layers are also discussed to make the network more efficient and robust. The document provides examples of how these various layer types work and combines them into a basic convolutional block that can be stacked for more complex images.
This document provides an introduction and overview of HTML5 Canvas. It discusses the <canvas> element, rendering contexts, basic usage, drawing shapes like rectangles, and providing fallback content for browsers that do not support Canvas. The key points are that <canvas> creates a fixed-size drawing surface, the 2D rendering context is used to draw on the canvas, and basic shapes like rectangles can be drawn using functions like fillRect(), strokeRect(), and clearRect().
This document provides instructions for setting up a demonstration of the magic_model_generator gem. It mentions setting up the database.yml file and increasing the font size. It also provides commands for starting the postgres database, generating models from existing tables, and preparing the development environment for the demo.
Productive Use of the Apache Spark Prompt with Sam PenroseDatabricks
Effective programmers work in tight loops: making a small code edit, observing its effect on their system, and repeating. When your data is too big to read and your system isn’t local, println() won’t work. Fortunately, the Spark DataFrame and Dataset APIs have your back. Attendees will leave with better tools for exploring large datasets and debugging distributed code with Spark, and a better mental model of distributed programming at scale.
This document provides a variety of problem-solving challenges and exercises across different domains including programming, mathematics, web design, and general relativity. Some of the challenges include:
1) Programming problems and exercises related to languages like PHP, Python, JavaScript, and Windows batch. Examples include coding challenges, test generators, and automating file operations.
2) Mathematics exercises from an introduction to general relativity textbook, involving checking tensor properties and transformations under changes of coordinates.
3) Web design wireframes and challenges that incorporate all CSS features, including creating slideshows, responsive layouts, and incorporating things like animations and social media feeds.
4) Additional problem domains covered include recognizing 3D shapes in photos,
This document provides an introduction to threads, events, and mutexes in C# classes. It begins with a basic example of creating a thread to call a method. Subsequent examples demonstrate passing delegate methods to threads, using the Sleep method to simulate multithreading, and accessing the CurrentThread property. The document also notes that the Thread class is sealed and cannot be inherited from.
A Methodology for the Emulation of Boolean Logic that Paved the Way for the S...ricky_pi_tercios
This document proposes a methodology called Maze for investigating linked lists and emulating Boolean logic. Maze visualizes superpages and aims to overcome issues with existing approaches. It consists of a virtual machine monitor and codebase that seeks to solve challenges like caching algorithms independently and controlling voice-over-IP without context-free grammar. The implementation contains thousands of lines of code in various programming languages.
BMVA summer school MATLAB programming tutorialpotaters
This document discusses improving the runtime performance of MATLAB code through vectorization. It provides an example of an inefficient MATLAB function that approximates cycles of a square wave using sine waves. To optimize this code, the document suggests manipulating arrays rather than individual array elements, which can be done by removing the nested for loops. Vectorizing the code to operate on entire arrays at once rather than elements sequentially would improve performance. Profiling the code using MATLAB's profiler tool can help identify bottlenecks to target for optimization.
- Tensor Flow is a library for large-scale machine learning and deep learning using data flow graphs. Nodes in the graph represent operations and edges represent multidimensional data arrays called tensors.
- It supports CPU and GPU processing on desktops, servers, and mobile devices. Models can be visualized using TensorBoard.
- An example shows how to build an image classifier using transfer learning with the Inception model. Images are retrained on flower categories to classify new images.
- Distributed Tensor Flow allows a graph to run across multiple machines in a cluster for greater performance.
Vectors are the same as dynamic arrays with the ability to resize itself automatically when an element is inserted or deleted, with their storage being handled automatically by the container. Vector elements are placed in contiguous storage so that they can be accessed and traversed using iterators. In vectors, data is inserted at the end. Inserting at the end takes differential time, as sometimes the array may need to be extended. Removing the last element takes only constant time because no resizing happens. Inserting and erasing at the beginning or in the middle is linear in time.
What is std::vector in C++?
std::vector in C++ is the class template that contains the vector container and its member functions. It is defined inside the <vector> header file. The member functions of std::vector class provide various functionalities to vector containers. Some commonly used member functions are written below:
Iterators
begin() – Returns an iterator pointing to the first element in the vector
end() – Returns an iterator pointing to the theoretical element that follows the last element in the vector
rbegin() – Returns a reverse iterator pointing to the last element in the vector (reverse beginning). It moves from last to first element
rend() – Returns a reverse iterator pointing to the theoretical element preceding the first element in the vector (considered as reverse end)
cbegin() – Returns a constant iterator pointing to the first element in the vector.
cend() – Returns a constant iterator pointing to the theoretical element that follows the last element in the vector.
crbegin() – Returns a constant reverse iterator pointing to the last element in the vector (reverse beginning). It moves from last to first element
crend() – Returns a constant reverse iterator pointing to the theoretical element preceding the first element in the vector (considered as reverse end)
Capacity
size() – Returns the number of elements in the vector.
max_size() – Returns the maximum number of elements that the vector can hold.
capacity() – Returns the size of the storage space currently allocated to the vector expressed as number of elements.
resize(n) – Resizes the container so that it contains ‘n’ elements.
empty() – Returns whether the container is empty.
shrink_to_fit() – Reduces the capacity of the container to fit its size and destroys all elements beyond the capacity.
reserve() – Requests that the vector capacity be at least enough to contain n elements.
Element access
reference operator [g] – Returns a reference to the element at position ‘g’ in the vector
at(g) – Returns a reference to the element at position ‘g’ in the vector
front() – Returns a reference to the first element in the vector
back() – Returns a reference to the last element in the vector
data() – Returns a direct pointer to the memory array used internally by the vector to store its owned elements.
Modifiers
assign() – It assigns new value to the vector elements by replacing old ones
Join this video course on Udemy. Click the below link
https://www.udemy.com/mastering-rtos-hands-on-with-freertos-arduino-and-stm32fx/?couponCode=SLIDESHARE
>> The Complete FreeRTOS Course with Programming and Debugging <<
"The Biggest objective of this course is to demystifying RTOS practically using FreeRTOS and STM32 MCUs"
STEP-by-STEP guide to port/run FreeRTOS using development setup which includes,
1) Eclipse + STM32F4xx + FreeRTOS + SEGGER SystemView
2) FreeRTOS+Simulator (For windows)
Demystifying the complete Architecture (ARM Cortex M) related code of FreeRTOS which will massively help you to put this kernel on any target hardware of your choice.
This document summarizes a student project on handwriting recognition of Hindi numerals using a Self-Organizing Map module. The student developed an approach using SOM for Hindi numeral recognition to increase accuracy of recognized letters. SOM is an artificial neural network that can recognize patterns through learning. It was trained on a dataset of Hindi numerals to classify input patterns. Evaluation showed the system achieved the goal of increased recognition accuracy of Hindi numerals.
The document describes an iLab assignment to modify an Employee class to demonstrate composition and interfaces. Key points:
- Create a Benefits class to hold an employee's benefits like health insurance, life insurance, and vacation.
- Integrate the Benefits class into the Employee class using composition.
- Create an abstract iEmployee interface to guarantee the Employee class implements the calculatePay method.
- The goal is to enhance the existing Employee class from previous labs by adding benefits through composition and using interfaces.
This document outlines lab work assignments for an object-oriented programming course. The assignments include:
1) Creating a class to register student details and prevent duplicate entries.
2) Creating a banking account class to perform deposit, withdrawal, and statement printing transactions.
3) Creating a mobile phone class to store phone details and allow user login/selection of products to calculate total cost.
Don't be fooled by the thumbnail - the first couple of slides are a silly joke I forgot to remove before uploading.
Presentation derived from the "What's new in Python 2.4" document on http://www.python.org/ including much reformatting for presenting and presenter notes.
Please download the Keynote original - that way the presentation notes aren't burned into the slides.
A Pointing Gesture-based Signal to Text Communication System Using OpenCV in ...IRJET Journal
This document presents a system for real-time pointing gesture tracking and recognition using computer vision techniques in OpenCV and Python. The system detects a colored fingertip in video frames and applies optical character recognition to recognize the intended text. It tracks the fingertip contour across frames, stores the coordinates, and draws the trajectory to convert gestures to text without requiring additional hardware inputs. While the current system works well, it is limited by being sensitive to other colored objects in the background that could interfere with fingertip detection. Overall, the paper proposes and discusses an air writing system using computer vision to enable natural human-computer interaction through gesture recognition.
Apostila de como fazer e usar certas técnicas de criptografia utilizando dos preceitos e teorias mais conhecidos no mercado. Vários capítulos descrevem e demonstrar como fazer toda a parte criptográfica desde os simples métodos até os mais complicados. Não cobre tudo, mas ajudo muito.
O documento fornece um guia rápido sobre o que é o Dropbox e como usá-lo. O Dropbox permite armazenar e acessar arquivos de qualquer dispositivo de forma sincronizada através da nuvem. Os usuários podem adicionar arquivos arrastando-os para a pasta do Dropbox e compartilhar arquivos e pastas com outros através de links.
Este documento discute a instalação e distribuição de energia para residências, abordando a potência total instalada e a divisão da carga por circuitos para itens como iluminação, chuveiros, tomadas e motores.
This document describes 3Dxp, an API created by the Interactive Audio Special Interest Group to extend Microsoft's DirectSound 3.0 API and enable 3D audio hardware acceleration. 3Dxp provides a standardized way for software developers to pass 3D audio positioning parameters to third-party hardware and software solutions in a way that is compatible with DirectSound3D. The document outlines how 3Dxp works, the parameters it supports, guidelines for game/application developers, and a reference code implementation to detect and interface with 3Dxp compliant audio drivers.
O documento fornece uma receita de Pastel de Belém, um doce tradicional português, com instruções detalhadas para a massa e recheio. A massa é feita com farinha, manteiga e gema e o recheio é um creme de leite, gemas e açúcar com baunilha e casca de limão. Os pasteis são assados até ficarem secos.
This document contains recipes for several Middle Eastern dishes including:
1) Shish Tawook, a chicken dish marinated in a tomato, chili, garlic and yogurt sauce then grilled.
2) Kofta Yaidez, ground lamb meatballs baked with chicken, mushrooms, cheese and white sauce.
3) Arabian Rice, a rice pilaf with mutton, onion, cinnamon, and pine nuts.
4) Several dessert recipes including Aish Al Saraya, a rosewater bread pudding, and Namorra, a coconut milk pudding baked with eggs and semolina.
5) Sheik El Mehshi, stuffed eggplant baked with a
La pandemia de COVID-19 ha tenido un impacto significativo en la economía mundial. Muchos países experimentaron fuertes caídas en el PIB y aumentos en el desempleo debido a los cierres generalizados y las restricciones a los viajes. Aunque las vacunas han permitido la reapertura de muchas economías, los efectos a largo plazo de la pandemia en sectores como el turismo y los viajes aún no están claros.
This document provides an introduction to stored procedures in MySQL. It begins with a definition of stored procedures as subprograms stored in a database that can contain SQL statements. The document then discusses why stored procedures are useful, including that they are fast, portable, reusable components that centralize logic in the database. It also covers how to set up MySQL for stored procedures and demonstrates starting the mysql client.
The document discusses personal pronouns, demonstrative pronouns, interrogative pronouns, relative pronouns, reciprocal pronouns, reflexive pronouns, indefinite pronouns, and noun cases in Finnish. Personal pronouns refer to people and decline based on person and number. There are also different types of plural forms in Finnish including nominative plural, partitive plural, and inflected plural which is formed with an infix.
Este documento contém formulários e informações sobre o processo de admissão em programas de pós-graduação de uma universidade. Inclui solicitação de inscrição, lista de documentos necessários, normas de inscrição e pagamento. Também inclui formulários para solicitação de bolsa de estudos e autorização de débito em cartão de crédito.
This document provides instructions for connecting to a MySQL database from a Java application using JSP (JavaServer Pages) under Windows and Tomcat web server. It includes steps for installing Java, Tomcat, and the MySQL connector JAR file. It also covers setting up environmental variables and starting/stopping the Tomcat server. The code examples show how to test the MySQL driver, establish a database connection, and execute queries to retrieve data from the database.
This document is a collection of Indian recipes compiled by Somesh Rao. It contains over 100 recipes for breads, snacks, vegetables, lentils, rice, fish, chicken, lamb and desserts. The recipes were collected from various sources over the internet and aim to provide graduate students with access to authentic Indian cooking. The document includes introductions from Somesh Rao and Sanjiv Singh discussing the compilation of the recipes and acknowledging other contributors. It also includes a guide to common Indian ingredients.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like depression and anxiety.
Este documento presenta un mini curso de 7 capítulos sobre el Método Francés de Piano. El curso enseña ejercicios básicos de posición, movimiento y fluidez digital para familiarizarse con el instrumento. Cada capítulo cubre un tema como la postura correcta, relajación, digitación y ejercicios para desarrollar la técnica de los dedos. El objetivo es proporcionar una introducción práctica al método a través de ejercicios sencillos.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
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In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 6
ART169_tut_flash
1. 66 Technique
Flash CS3 or later
Create
organic
3D ribbon
effects
Go with the flow to
generate a series of
stunning, colourful Flash
patterns, writes Stewart
Hamilton-Arrandale
Free-flowing ribbon effects have been given a fresh
lease of life through ActionScript 3.0, enabling designers to create
organic effects that react to user interaction and display as clear,
crisp and bright colour ribbons. Dozens of online and TV-based ad
campaigns have been reintroducing these elements to sell
everything from cars to PCs, so it’s a trend on the rise and a skill
worth having in your tool box.
In this tutorial I’ll be showing you how to create these
organic ribbon visuals using some of Flash Player 10’s new drawing
functions – but nothing we’ll be doing will be Flash Player 10
specific. I’ve set up the parameters already, and we’ll run through
them, explaining what each does, so that you can use the files as a
template for creating your own ribbon effects (and at the same time
learn some of the new data types and the new improved drawing
API in Flash Player 10).
Stewart Hamilton- On the disc Time needed
Arrandale
The award-
The files you need to
complete this
1 hour
01 Copy the disc files
winning freelance tutorial can be found Skills
to your computer and open
digital designer has in DiscContents ActionScript the Step 1 folder. Test the
produced Flash ResourcesRibbon animations Flash file to check everything
solutions for the Basic is working. You’ll notice in the
likes of Crown paints ActionScript 3.0
and Original Source,
Properties panel that I have
Use of Flash linked the CA_Ribbons class
and delivered motion graphics
graphics pieces for to the Flash file, and have set
Liverpool Capital of everything up for you.
Culture ‘08. To find
out more see www.
creativewax.co.uk
Computer Arts December 2009 www.computerarts.co.uk
ART169.tut_flash 66 21/10/09 10:12:16 am
2. 67
03 Now open the Ribbons.as from the same folder.
You can see all our variable declarations on lines 8-37. The
02 Take a look at the RibbonParticle class in the comcreativewaxribbons particles:Vector<RibbonParticle> line is an Array that only
folder. You’ll notice that this is a very simple class, the sole purpose of which is to act excepts the data type we specify, while __drawCommands and
as a pointer to a virtual position, storing a few variables to let the ribbon system know __drawCoords are two vectors that are used via the new
how to draw the ribbons. drawing commands in Flash 10.
05 In the moveParticles method, we set a reference 06 In the drawRibbon method, we loop
to the first particle in our ribbon and then update its through the all the particles and get a
position closer to the sprite it’s following. We then loop reference to the current particle. Calculate the
through the rest of the particles and add forces and friction midpoint of the ribbon by finding the halfway
to its velocity, updating its X and Y positions. Then we check value between the first and last virtual points.
the distance between the current particle and the one Next, add the drawing point values to the
before it. __drawCoords vector, then draw this ribbon
04 In the Constructor, set the segment out.
variables and initialise the
__drawCommands vector. The
createParticles method loops through
the maximum amount of particles set
and then creates them. We can also
increment the radius of the particles
and then store a reference in our
particles vector. Below this is the render
method that moves the particles and
then draws around them to create the
ribbon effect.
Go bite-sized
When faced with a
coding problem that seems too
big to tackle, always try to break
08 The next method – setMidPoints
– sets a point at a position based halfway
it down into smaller, logical
parts that are more manageable. 07 In setRadiusPoints method, we work out two between the two points passed in Steps 1 and
This way, even the most difficult virtual points around the particle passed in. This is based 2. Between the information generated in this
tasks are easily accomplished. on the particle’s virtual radius and its current angle, which and the setRadiusPoints methods, we now
is offset by the pAngle variable we set up. We end up with have enough data to draw the current ribbon
two virtual points both sitting at 90-degree offsets. segment with a nice flowing curve.
www.computerarts.co.uk Computer Arts December 2009
ART169.tut_flash 67 21/10/09 10:12:17 am
3. 68
10 When we repeat Step 1 we 11 Next in createRibbons, we loop through
see a vector holding the Ribbon classes the __total variable to create our ribbons. For this
09 CheckParticleDistance sets the distance we have created. In the Constructor, tutorial I have set up random parameters for the
and angle between two particles. If the distance is call the __resize method to set the ribbons. When creating the ribbon, I have set its start
greater than the maximum value we set earlier, the stage width and height variables, position off stage and then stored a reference to it in
particle is repositioned based on its neighbour’s create the ribbons, set up the Timer to the __ribbons vector to add it to the display.
position and angle. Set the velocity and tolerance once every 30th of a second, and add
quite high to give the ribbons an elastic feel. the main sprite to the display.
12 The final methods are very simple. The render
method updates the fake camera movement and ribbons;
moveCamera updates the forces that are supplied to the
ribbons, and updates the __follower sprite position based on 13 Now look at the CA_Ribbons.as file in the Final folder. You’ll notice a couple
the mouse position; updateRibbons applies the new forces to of variables: getRandomPoint is called in the Constructor and uses the TweenMax
each ribbon before rendering; and the resize method updates class to animate the __follower sprite to a random position on a Bezier curve, creating
the stage width and height references. the ribbon effect.
15 Open and export the CA_Ribbons.fla to test it. Now
we’ve run through the file, have a mess around with the
parameters on the ribbons to create your own. By tweaking the
code slightly you could turn the ribbons into a music visualiser or
even add multiple follower sprites. Have fun experimenting!
14 The last update is the moveCamera method, which tracks the position of the
__follower sprite. Forces are worked out with the difference between the __follower’s
current and previous positions, and then the previous position point is updated to
generate the random ribbon effects.
Computer Arts December 2009 www.computerarts.co.uk
ART169.tut_flash 68 21/10/09 10:12:19 am