The document discusses several programming languages and frameworks for parallel and domain-specific programming. It provides examples of code written in the parallel language Parasail and the domain-specific language Opa. The Parasail code shows how to model dining philosophers concurrently, while the Opa code shows how to build a simple chat application interface.
This document discusses web browsers and provides information on their history, types, advantages, and disadvantages. It describes how the first web browser was invented by Tim Berners-Lee in 1990 and the development of early browsers like Erwise and Mosaic. Popular modern browsers covered include Netscape, Internet Explorer, Firefox, Safari, Chrome, Opera, and Microsoft Edge. The document also outlines some key advantages of web browsers like low cost and facilitating information exchange, as well as potential disadvantages like overload and lack of quality control.
This document provides an overview of computer hardware parts and their functions. It describes external components like the mouse, monitors, and keyboards and how they work. It also describes internal components such as storage devices (SSD, RAM, ROM), the CPU and its cores, the motherboard and its expansion slots. The document concludes by listing the minimum and recommended system requirements for operating systems, including specifications for Windows, Android and iOS devices.
Web browsers act as an interface between users and web servers by allowing users to locate and display web pages. Major features of web browsers include allowing users to open multiple pages simultaneously, refreshing pages, and including pop-up blockers. Browsers are made up of a user interface and rendering engine. Some of the earliest and most popular browsers include WorldWideWeb, Mosaic, Netscape Navigator, Internet Explorer, Firefox, Safari, Chrome, and browsers designed for mobile devices.
The description of the AI for safety critical systems is very logical and it's very needed for safety of human society.
And it needs such a new technology to improve the safety measures.
The document discusses biometrics, which is the automated measurement and analysis of biological data to identify individuals. It provides an introduction to biometrics and its history, importance, characteristics including physical (e.g., fingerprints, iris) and behavioral (e.g., voice, signature) traits. The biometrics process and applications in security, time/attendance, and access control are described. Advantages include uniqueness and accuracy, while disadvantages include costs and potential for false matches. The future of biometrics is promising with emerging technologies like ear and odor identification.
This document discusses facial recognition technology, which uses biological facial features to identify individuals. Facial recognition systems work by detecting faces in images or video, extracting nodal point measurements and other features, translating this data into a unique code, and comparing the code to stored facial data to identify the person. The technology is part of the broader field of biometrics and can be used for security applications like surveillance, passport verification, and catching criminals. While it has advantages like adaptability and ability to identify people from a distance, it also has challenges like difficulty differentiating identical twins or people wearing sunglasses.
A STUDY ON OPTICAL CHARACTER RECOGNITION TECHNIQUESijcsitcejournal
Optical Character Recognition (OCR) is the process which enables a system to without human intervention
identifies the scripts or alphabets written into the users’ verbal communication. Optical Character
identification has grown to be individual of the mainly flourishing applications of knowledge in the field of
pattern detection and artificial intelligence. In our survey we study on the various OCR techniques. In this
paper we resolve and examine the hypothetical and numerical models of Optical Character Identification.
The Optical character identification or classification (OCR) and Magnetic Character Recognition (MCR)
techniques are generally utilized for the recognition of patterns or alphabets. In general the alphabets are
in the variety of pixel pictures and it could be either handwritten or stamped, of any series, shape or
direction etc. Alternatively in MCR the alphabets are stamped with magnetic ink and the studying machine
categorize the alphabet on the basis of the exclusive magnetic field that is shaped by every alphabet. Both
MCR and OCR discover utilization in banking and different trade appliances. Earlier exploration going on
Optical Character detection or recognition has shown that the In Handwritten text there is no limitation
lying on the script technique. Hand written correspondence is complicated to be familiar through due to
diverse human handwriting style, disparity in angle, size and shape of calligraphy. An assortment of
approaches of Optical Character Identification is discussed here all along through their achievement.
The document describes an automatic license plate recognition system (LPRS) that consists of three main modules: license plate detection, character segmentation, and optical character recognition (OCR). The license plate detection module uses preprocessing, morphological operations, and horizontal/vertical segmentation to identify license plate regions. Character segmentation converts images to grayscale, performs binarization, and further segments images horizontally and vertically. The OCR module is trained on character templates then uses template matching to recognize characters by comparing pixel values between segmented characters and stored templates. The system has applications in traffic monitoring, electronic toll collection, surveillance, and safety systems.
This document discusses web browsers and provides information on their history, types, advantages, and disadvantages. It describes how the first web browser was invented by Tim Berners-Lee in 1990 and the development of early browsers like Erwise and Mosaic. Popular modern browsers covered include Netscape, Internet Explorer, Firefox, Safari, Chrome, Opera, and Microsoft Edge. The document also outlines some key advantages of web browsers like low cost and facilitating information exchange, as well as potential disadvantages like overload and lack of quality control.
This document provides an overview of computer hardware parts and their functions. It describes external components like the mouse, monitors, and keyboards and how they work. It also describes internal components such as storage devices (SSD, RAM, ROM), the CPU and its cores, the motherboard and its expansion slots. The document concludes by listing the minimum and recommended system requirements for operating systems, including specifications for Windows, Android and iOS devices.
Web browsers act as an interface between users and web servers by allowing users to locate and display web pages. Major features of web browsers include allowing users to open multiple pages simultaneously, refreshing pages, and including pop-up blockers. Browsers are made up of a user interface and rendering engine. Some of the earliest and most popular browsers include WorldWideWeb, Mosaic, Netscape Navigator, Internet Explorer, Firefox, Safari, Chrome, and browsers designed for mobile devices.
The description of the AI for safety critical systems is very logical and it's very needed for safety of human society.
And it needs such a new technology to improve the safety measures.
The document discusses biometrics, which is the automated measurement and analysis of biological data to identify individuals. It provides an introduction to biometrics and its history, importance, characteristics including physical (e.g., fingerprints, iris) and behavioral (e.g., voice, signature) traits. The biometrics process and applications in security, time/attendance, and access control are described. Advantages include uniqueness and accuracy, while disadvantages include costs and potential for false matches. The future of biometrics is promising with emerging technologies like ear and odor identification.
This document discusses facial recognition technology, which uses biological facial features to identify individuals. Facial recognition systems work by detecting faces in images or video, extracting nodal point measurements and other features, translating this data into a unique code, and comparing the code to stored facial data to identify the person. The technology is part of the broader field of biometrics and can be used for security applications like surveillance, passport verification, and catching criminals. While it has advantages like adaptability and ability to identify people from a distance, it also has challenges like difficulty differentiating identical twins or people wearing sunglasses.
A STUDY ON OPTICAL CHARACTER RECOGNITION TECHNIQUESijcsitcejournal
Optical Character Recognition (OCR) is the process which enables a system to without human intervention
identifies the scripts or alphabets written into the users’ verbal communication. Optical Character
identification has grown to be individual of the mainly flourishing applications of knowledge in the field of
pattern detection and artificial intelligence. In our survey we study on the various OCR techniques. In this
paper we resolve and examine the hypothetical and numerical models of Optical Character Identification.
The Optical character identification or classification (OCR) and Magnetic Character Recognition (MCR)
techniques are generally utilized for the recognition of patterns or alphabets. In general the alphabets are
in the variety of pixel pictures and it could be either handwritten or stamped, of any series, shape or
direction etc. Alternatively in MCR the alphabets are stamped with magnetic ink and the studying machine
categorize the alphabet on the basis of the exclusive magnetic field that is shaped by every alphabet. Both
MCR and OCR discover utilization in banking and different trade appliances. Earlier exploration going on
Optical Character detection or recognition has shown that the In Handwritten text there is no limitation
lying on the script technique. Hand written correspondence is complicated to be familiar through due to
diverse human handwriting style, disparity in angle, size and shape of calligraphy. An assortment of
approaches of Optical Character Identification is discussed here all along through their achievement.
The document describes an automatic license plate recognition system (LPRS) that consists of three main modules: license plate detection, character segmentation, and optical character recognition (OCR). The license plate detection module uses preprocessing, morphological operations, and horizontal/vertical segmentation to identify license plate regions. Character segmentation converts images to grayscale, performs binarization, and further segments images horizontally and vertically. The OCR module is trained on character templates then uses template matching to recognize characters by comparing pixel values between segmented characters and stored templates. The system has applications in traffic monitoring, electronic toll collection, surveillance, and safety systems.
Coding is new literacy and you shouldn't miss the chance to learn to code. Not only you but your children should learn to code. Learn more about coding in a fun and easy way with RoboGarden.
RoboGarden is an easy to understand, hands-on educational app where students take part in active learning. Fully equipped to teach coding literacy from scratch, RoboGarden reduces the need for a tech-savvy teacher.
For More info Please visit: www.robogarden.ca
The document discusses the history and purpose of computer programming languages. It notes that Charles Babbage developed the concept of the programmable computer in the 19th century, and Ada Lovelace wrote the first computer program. Programming languages were developed to simplify writing code by using languages that are easier for humans to understand than binary. High-level languages allow programmers to write code in languages like Java and Python, while low-level languages are closer to binary. Compilers and interpreters translate between high and low-level languages to enable programs to run on computers. Different programming languages are designed for specific purposes like web, desktop, or scientific applications.
This document discusses programming languages and development tools. It defines programming languages and categorizes them from low-level machine languages to high-level languages. Popular languages today include Visual Basic, C, C++, Java, and SQL. The document also outlines tools for application development, macros, RAD, web pages using HTML and XML, and multimedia programs.
This document discusses how to organize a successful coding lab for kids. It recommends making the lab fun by having kids work on projects they are passionate about and allowing peer collaboration and play. It also suggests making the lab useful by teaching computational thinking concepts like loops and conditionals. Finally, it advises having well-designed rules, sufficient resources, and good logistics to ensure the coding lab runs smoothly. The goal is for kids to have fun learning and be eager to learn more about coding.
Face recognition technology may help solve problems with identity verification by analyzing facial features instead of passwords or pins. The document outlines the key stages of face recognition systems including data acquisition, input processing, and image classification. It also discusses advantages like convenience and ease of use, as well as limitations such as an inability to distinguish identical twins. Potential applications are identified in government, security, and commercial sectors.
This document provides an overview of computer basics, including:
- Hardware refers to the physical components of a computer like the case, monitor, keyboard. Software refers to programs and instructions that make the hardware work.
- The CPU (central processing unit) is the brain of the computer and contains the arithmetic/logic and control units. RAM (random access memory) is short-term memory the computer uses to run programs.
- The basic process of how a computer works involves inputting data, the CPU processing it using programs stored in memory, and producing an output. Proper care and ergonomics are important for health and safety.
The document presents information on various web browsers:
1) It discusses several popular web browsers including Google Chrome, Mozilla Firefox, Opera, Internet Explorer, and Safari.
2) It provides details on each browser such as their developers, engines, supported languages, features, and differences between them.
3) The browsers are compared based on aspects like operating system support, usage statistics, security vulnerabilities, internationalization support, and additional features like search facilities and speed dial.
Presentation on Face detection and recognition - Credits goes to Mr Shriram, "https://www.hackster.io/sriram17ei/facial-recognition-opencv-python-9bc724"
The document discusses biometrics and biometric systems. It defines biometrics as measurable biological characteristics that can be used to identify individuals. It then describes the main components of a biometric system, including sensors, feature extraction, matching, and databases. The document discusses verification and identification modes of biometric systems. It also explains the different types of errors that can occur in biometric systems, including false accepts and false rejects, and how performance is evaluated using metrics like FMR, FNMR, FTE, and FTC rates.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The document provides an overview of basic computer parts and concepts. It discusses the main components of a desktop computer including the computer case, monitor, keyboard, mouse, and power cord. It also describes the two main types of monitors, keyboard functions, how to switch mouse buttons, and basics of data storage including how many songs, photos, or CDs can fit on different storage devices.
The document discusses several key topics related to computer systems:
1. Computers only understand binary (1s and 0s) called machine code. Humans write programs in high-level languages that are translated into machine code.
2. Operating systems control tasks like loading data, reading input/output, and saving files. They provide a human-computer interface (HCI).
3. Files are either program files or data files used by programs. Memory stores active data (RAM) and permanent files (backing storage like hard disks).
This document provides an overview of computer vision including its definition, applications, working concepts, popular models and datasets, advantages, and disadvantages. Computer vision is a field that uses computer algorithms to gain a high-level understanding from digital images or videos. It has applications in areas like face detection, object detection and tracking, developing social distancing tools, and medical image analysis. Popular computer vision models include ResNet, YOLO, and MobileNet, and datasets include COCO, ImageNet, and CIFAR10. Advantages are faster and more reliable processing while disadvantages include needing specialists and potential failures in image processing. The document also discusses uses of computer vision for COVID-19 response and in areas like healthcare, automotive, and retail
This document discusses using machine learning and deep learning for malware detection. It notes that over 350,000 new malware are created daily, posing a significant threat. Traditional signature-based detection has limitations in detecting new malware. The document reviews research applying machine learning and deep learning techniques to malware detection using static and dynamic analysis of features. It then describes the authors' approach of using opcode frequency models with random forest and neural networks to classify files, achieving 97-98% precision and recall on a test set. The conclusion is that machine learning and deep learning can help address limitations of traditional approaches by enabling detection of new malware.
This document provides an overview of computer forensics. It defines computer forensics as the process of identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The document discusses the history, goals, and methodology of computer forensics, as well as who uses these services and the skills required. Computer forensics is used to find evidence for a variety of computer crimes and cybercrimes to assist in arrests and prosecutions.
VIRTUAL PAINT APPLICATION USING HAND GESTURESIRJET Journal
This document presents a virtual paint application that uses hand gesture recognition for real-time drawing or sketching. The application uses MediaPipe and OpenCV to track hand movements and joints in real-time. It identifies different gestures like selecting tools, writing on the canvas, and clearing the canvas. This allows for an intuitive human-computer interaction method without any physical devices. The application provides a dust-free classroom solution and makes online lessons more engaging. It analyzes video frames from a webcam to detect hand landmarks and identify gestures based on finger positions. This allows users to draw on screen by simply moving their hands.
The document provides an introduction to basic computer concepts and components. It discusses the history of computing from DOS commands to graphical user interfaces. It also covers keyboards, describing the original alphabetical layout and today's more common QWERTY design. Finally, it defines common desktop elements like windows, icons, and the taskbar, explaining how multiple windows can be opened and switched between.
This document provides an overview of a license plate recognition system. It introduces ALPR cameras and their benefits like being cost effective, requiring no human resources, and providing higher accuracy. It then describes how the system works using Matlab, C++, Processing, and Arduino to extract the license plate number from a video, recognize the characters, look up the owner's phone number, and send an SMS notification. The document includes sections on the introduction, why ALPR cameras, how it works, problems faced, and a conclusion.
Computer vision is the field of artificial intelligence that teaches machines to understand the visual world similarly to humans. It has progressed significantly in recent years due to advances in deep learning techniques. Computer vision algorithms are trained on large datasets to recognize patterns and identify objects. It is used in applications like smartphone cameras, web search, self-driving cars, medical imaging, and more. However, computer vision still faces challenges in matching human-level visual recognition abilities.
This document defines and describes different types of computers and their components. It explains that a computer receives input, processes it according to instructions, and provides output. It then defines supercomputers, mainframes, mini-computers, personal computers, and laptops. The document also discusses computer networks, hardware including input, output, and storage devices, and software including operating systems and applications.
This document discusses the benefits of functional programming (FP) that the author learned. It begins by explaining how multithreading programs are difficult to write, test, and ensure thread safety due to mutable shared state. FP avoids these issues by not using mutable variables. The document then covers some key aspects of FP like recursion, higher-order functions, function composition, and immutable data structures. It provides examples in various languages to illustrate these concepts. The author argues that FP provides a good foundation for writing concurrent programs due to its avoidance of mutable state.
- Ruby on Rails is a web application framework inspired by Ruby, Perl, Python, Haskell and LISP. It is optimized for programmer happiness and productivity.
- Rails includes features like ActiveRecord (ORM), ActionController (controllers), ActionView (views), routing and asset pipelines that make building web applications faster and easier.
Coding is new literacy and you shouldn't miss the chance to learn to code. Not only you but your children should learn to code. Learn more about coding in a fun and easy way with RoboGarden.
RoboGarden is an easy to understand, hands-on educational app where students take part in active learning. Fully equipped to teach coding literacy from scratch, RoboGarden reduces the need for a tech-savvy teacher.
For More info Please visit: www.robogarden.ca
The document discusses the history and purpose of computer programming languages. It notes that Charles Babbage developed the concept of the programmable computer in the 19th century, and Ada Lovelace wrote the first computer program. Programming languages were developed to simplify writing code by using languages that are easier for humans to understand than binary. High-level languages allow programmers to write code in languages like Java and Python, while low-level languages are closer to binary. Compilers and interpreters translate between high and low-level languages to enable programs to run on computers. Different programming languages are designed for specific purposes like web, desktop, or scientific applications.
This document discusses programming languages and development tools. It defines programming languages and categorizes them from low-level machine languages to high-level languages. Popular languages today include Visual Basic, C, C++, Java, and SQL. The document also outlines tools for application development, macros, RAD, web pages using HTML and XML, and multimedia programs.
This document discusses how to organize a successful coding lab for kids. It recommends making the lab fun by having kids work on projects they are passionate about and allowing peer collaboration and play. It also suggests making the lab useful by teaching computational thinking concepts like loops and conditionals. Finally, it advises having well-designed rules, sufficient resources, and good logistics to ensure the coding lab runs smoothly. The goal is for kids to have fun learning and be eager to learn more about coding.
Face recognition technology may help solve problems with identity verification by analyzing facial features instead of passwords or pins. The document outlines the key stages of face recognition systems including data acquisition, input processing, and image classification. It also discusses advantages like convenience and ease of use, as well as limitations such as an inability to distinguish identical twins. Potential applications are identified in government, security, and commercial sectors.
This document provides an overview of computer basics, including:
- Hardware refers to the physical components of a computer like the case, monitor, keyboard. Software refers to programs and instructions that make the hardware work.
- The CPU (central processing unit) is the brain of the computer and contains the arithmetic/logic and control units. RAM (random access memory) is short-term memory the computer uses to run programs.
- The basic process of how a computer works involves inputting data, the CPU processing it using programs stored in memory, and producing an output. Proper care and ergonomics are important for health and safety.
The document presents information on various web browsers:
1) It discusses several popular web browsers including Google Chrome, Mozilla Firefox, Opera, Internet Explorer, and Safari.
2) It provides details on each browser such as their developers, engines, supported languages, features, and differences between them.
3) The browsers are compared based on aspects like operating system support, usage statistics, security vulnerabilities, internationalization support, and additional features like search facilities and speed dial.
Presentation on Face detection and recognition - Credits goes to Mr Shriram, "https://www.hackster.io/sriram17ei/facial-recognition-opencv-python-9bc724"
The document discusses biometrics and biometric systems. It defines biometrics as measurable biological characteristics that can be used to identify individuals. It then describes the main components of a biometric system, including sensors, feature extraction, matching, and databases. The document discusses verification and identification modes of biometric systems. It also explains the different types of errors that can occur in biometric systems, including false accepts and false rejects, and how performance is evaluated using metrics like FMR, FNMR, FTE, and FTC rates.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The document provides an overview of basic computer parts and concepts. It discusses the main components of a desktop computer including the computer case, monitor, keyboard, mouse, and power cord. It also describes the two main types of monitors, keyboard functions, how to switch mouse buttons, and basics of data storage including how many songs, photos, or CDs can fit on different storage devices.
The document discusses several key topics related to computer systems:
1. Computers only understand binary (1s and 0s) called machine code. Humans write programs in high-level languages that are translated into machine code.
2. Operating systems control tasks like loading data, reading input/output, and saving files. They provide a human-computer interface (HCI).
3. Files are either program files or data files used by programs. Memory stores active data (RAM) and permanent files (backing storage like hard disks).
This document provides an overview of computer vision including its definition, applications, working concepts, popular models and datasets, advantages, and disadvantages. Computer vision is a field that uses computer algorithms to gain a high-level understanding from digital images or videos. It has applications in areas like face detection, object detection and tracking, developing social distancing tools, and medical image analysis. Popular computer vision models include ResNet, YOLO, and MobileNet, and datasets include COCO, ImageNet, and CIFAR10. Advantages are faster and more reliable processing while disadvantages include needing specialists and potential failures in image processing. The document also discusses uses of computer vision for COVID-19 response and in areas like healthcare, automotive, and retail
This document discusses using machine learning and deep learning for malware detection. It notes that over 350,000 new malware are created daily, posing a significant threat. Traditional signature-based detection has limitations in detecting new malware. The document reviews research applying machine learning and deep learning techniques to malware detection using static and dynamic analysis of features. It then describes the authors' approach of using opcode frequency models with random forest and neural networks to classify files, achieving 97-98% precision and recall on a test set. The conclusion is that machine learning and deep learning can help address limitations of traditional approaches by enabling detection of new malware.
This document provides an overview of computer forensics. It defines computer forensics as the process of identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The document discusses the history, goals, and methodology of computer forensics, as well as who uses these services and the skills required. Computer forensics is used to find evidence for a variety of computer crimes and cybercrimes to assist in arrests and prosecutions.
VIRTUAL PAINT APPLICATION USING HAND GESTURESIRJET Journal
This document presents a virtual paint application that uses hand gesture recognition for real-time drawing or sketching. The application uses MediaPipe and OpenCV to track hand movements and joints in real-time. It identifies different gestures like selecting tools, writing on the canvas, and clearing the canvas. This allows for an intuitive human-computer interaction method without any physical devices. The application provides a dust-free classroom solution and makes online lessons more engaging. It analyzes video frames from a webcam to detect hand landmarks and identify gestures based on finger positions. This allows users to draw on screen by simply moving their hands.
The document provides an introduction to basic computer concepts and components. It discusses the history of computing from DOS commands to graphical user interfaces. It also covers keyboards, describing the original alphabetical layout and today's more common QWERTY design. Finally, it defines common desktop elements like windows, icons, and the taskbar, explaining how multiple windows can be opened and switched between.
This document provides an overview of a license plate recognition system. It introduces ALPR cameras and their benefits like being cost effective, requiring no human resources, and providing higher accuracy. It then describes how the system works using Matlab, C++, Processing, and Arduino to extract the license plate number from a video, recognize the characters, look up the owner's phone number, and send an SMS notification. The document includes sections on the introduction, why ALPR cameras, how it works, problems faced, and a conclusion.
Computer vision is the field of artificial intelligence that teaches machines to understand the visual world similarly to humans. It has progressed significantly in recent years due to advances in deep learning techniques. Computer vision algorithms are trained on large datasets to recognize patterns and identify objects. It is used in applications like smartphone cameras, web search, self-driving cars, medical imaging, and more. However, computer vision still faces challenges in matching human-level visual recognition abilities.
This document defines and describes different types of computers and their components. It explains that a computer receives input, processes it according to instructions, and provides output. It then defines supercomputers, mainframes, mini-computers, personal computers, and laptops. The document also discusses computer networks, hardware including input, output, and storage devices, and software including operating systems and applications.
This document discusses the benefits of functional programming (FP) that the author learned. It begins by explaining how multithreading programs are difficult to write, test, and ensure thread safety due to mutable shared state. FP avoids these issues by not using mutable variables. The document then covers some key aspects of FP like recursion, higher-order functions, function composition, and immutable data structures. It provides examples in various languages to illustrate these concepts. The author argues that FP provides a good foundation for writing concurrent programs due to its avoidance of mutable state.
- Ruby on Rails is a web application framework inspired by Ruby, Perl, Python, Haskell and LISP. It is optimized for programmer happiness and productivity.
- Rails includes features like ActiveRecord (ORM), ActionController (controllers), ActionView (views), routing and asset pipelines that make building web applications faster and easier.
The document discusses considerations for designing cross-platform mobile apps. It notes that HTML may be suitable for many apps but native platforms are better for games, utilities with specialized functions, and apps focused on learning. The author advises understanding each platform's guidelines and building an experience focused on a brand vision before considering functionality and platforms. Design should map content flow before screen flow and allow platforms to offer unique experiences within a shared vision.
The document discusses the concept of technical debt, which is code quality issues or design issues that are intentionally deferred for a future date in order to quickly deliver new features. This debt needs to be paid back at a later time which becomes more difficult and costly the longer it is deferred. The key points made are:
- Technical debt is a metaphor for code quality issues that accrue over time if not addressed.
- Symptoms of high technical debt include slower development velocity, difficulty implementing new features, and low code quality.
- Strategies for managing technical debt include refactoring a little at a time with each change, using the "stangler" pattern of gradually replacing parts of an application, and occasionally stopping
The document provides an agenda and notes for a session on building JavaScript applications. The agenda includes discussing namespacing, design patterns like the singleton and observer patterns, performance techniques like Big O notation and measuring performance, and debugging. Hands-on exercises are also included to demonstrate namespacing and using the observer pattern. The presenter introduces themselves and provides an overview of namespaces like using object literals and nested namespacing. Common design patterns like the singleton, chaining, and observer pattern are also explained. Performance topics cover Big O notation, measuring performance with Date objects, and five tips including using few files.
This document contains a presentation about developing multiplatform mobile applications. It discusses the benefits of using HTML5 for cross-platform development, including code sharing across platforms. However, it also notes some disadvantages of HTML5 like underestimating challenges, varying performance across browsers and devices, and lack of native UI capabilities. The presentation explores options for developing native apps, web apps, and hybrid apps that combine web technologies with native platforms. It emphasizes the importance of considering multiple factors like distribution channels, development approaches, and each platform's varying support for HTML5 features when choosing a development strategy.
This document summarizes a presentation on software craftsmanship and Scrum. The presentation discusses challenges with technical debt and code quality. It shows examples of messy code and emphasizes clean code practices. It also addresses challenges that can occur near the end of a sprint and how to visualize work. The presentation promotes practices like feedback loops, continuous improvement, code reviews, coding dojos and certifications to strengthen skills and culture.
The document provides an overview of the CoffeeScript programming language. It discusses CoffeeScript's origins and timeline, highlighting key events like its initial announcement in 2009 and 1.0 release in 2010. It describes some of CoffeeScript's main features like Ruby-like syntax, streamlined literals, and significant whitespace. The document also notes that CoffeeScript compiles to JavaScript and is just a "syntactic sugar" for the language, while providing examples of how CoffeeScript code translates. Overall, the summary provides a high-level introduction to CoffeeScript's history and main programming constructs.
Architecting cloud-enabled applications using Spring-Integration 2.xEdson Yanaga
The document discusses architecting cloud-enabled applications using Spring Integration 2.x. It provides an overview of enterprise integration and options for integration, including Spring Integration. It also discusses features of Spring Integration like configuration through XML and demonstrates integrating applications with Amazon Web Services.
This document provides an agenda and overview for a session on Enterprise JavaScript. The agenda covers JavaScript basics like functions and objects, as well as more advanced topics like closures and events. It also discusses why JavaScript is important, its history, quirks, challenges in writing good JavaScript code, and what makes JavaScript beautiful from a programmer's perspective.
The document appears to be notes from a presentation on mobile web development. It discusses various topics like the differences between native and web applications, challenges with mobile web like multiple platforms and browsers, and definitions around terms like mobile web and HTML5. Maximiliano Firtman is identified as the presenter and he provides opinions and insights on issues in developing for the mobile web.
Understandable and Useful Error Messages for Liquid TypesAlcides Fonseca
The document discusses challenges in producing useful error messages for liquid type systems like LiquidHaskell, Aeon, LiquidJava, and MLVP. It suggests improving error messages by only showing relevant context, substituting useless variables, simplifying redundant assertions, evidencing the minimal failing assertion, interactively expanding context, and indicating assertion provenance. Inspiration is drawn from the Lean 4 IDE and work by Tesla Zhang on simplifying proof context displays. The overall goal is to help developers better understand errors by filtering relevant information and simulating logical implications, rather than requiring them to do the work of an SMT solver.
This document provides an overview of programming for GPUs. It discusses how GPUs have many more cores than CPUs and are better suited for data-parallel work. The main challenges of GPU programming are different memory architectures, branch divergence, and complexity. It presents CUDA and OpenCL as common approaches for GPU programming and provides an example of a reduction kernel written in CUDA/OpenCL using shared memory and synchronization barriers between threads. Recent advances that help with GPU programming include kernel calls from the GPU, multi-GPU support, unified memory, task parallelism, better profilers, and C++ language support.
O documento descreve as principais partes do framework Django e como elas se relacionam. Ele mostra como as URLs mapeiam para views que usam modelos e templates para renderizar respostas, com forms e tags de template também envolvidos. O documento também indica como middleware pode ser usado.
O documento descreve o histórico de commits de um repositório Git. Contém várias mensagens curtas descrevendo pequenas alterações e melhorias feitas ao projeto ao longo do tempo em diferentes branches.
O documento discute princípios de usabilidade em aplicações multimídia, mencionando conceitos como aprendizagem, eficiência, memorização, erros, satisfação do usuário, acessibilidade, design de interação, ergonomia. Também aborda boas práticas de design como consistência, atalhos, navegação, layout, tipografia, cores, feedback e testes de usabilidade.
This document provides an overview of XMPP (Extensible Messaging and Presence Protocol), including that it is used for instant messaging but also supports presence, messaging, and is extensible. It also discusses how XMPP can be used for low-latency communication and distributed problems, and provides links to learn more about XMPP and contact information.
The document introduces some theoretical concepts about web design and content management. It will cover HTML and CSS for web design, and WordPress for managing dynamic content. It provides a brief introduction to HTML and CSS, explaining that HTML defines the document structure and content, while CSS controls styles, colors and presentation. It notes that on their own, HTML and CSS produce static pages. It then introduces PHP and other programming languages that allow dynamically generating HTML pages and interacting with databases. It lists some common applications like forums, blogs, galleries and stores that use these technologies.
O documento discute as evoluções da Web, incluindo a Web Semântica que dá sentido ao conteúdo, a Web Móvel que está disponível em dispositivos móveis que estão sempre conosco, e a Web Executável que trata a Web como um sistema operativo.
This document discusses dynamic languages on the .NET platform, specifically IronPython and IronRuby. It provides background on dynamic vs static languages and a brief history of efforts to integrate dynamic languages into .NET. It then outlines the current state of integration for IronPython and IronRuby into Visual Studio and .NET, as well as example use cases for these languages like prototyping, agile methodologies, and web development.
Este documento discute a ideia de uma aplicação colaborativa para compartilhar pontos de interesse (POIs). A aplicação permitiria que usuários compartilhassem facilmente POIs e filtrassem os mais importantes com o apoio de uma comunidade. A arquitetura proposta inclui um site web construído com ASP.NET e SQL Server e aplicativos para dispositivos móveis.
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
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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.
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.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
52. Kotlin
• Reified Generics
By Jetbrains
Monday, November 14, 11
53. Kotlin
• Reified Generics
By Jetbrains
• Nullables
Monday, November 14, 11
54. Kotlin
• Reified Generics
By Jetbrains
• Nullables
• Type Inference
Monday, November 14, 11
55. Kotlin
• Reified Generics
By Jetbrains
• Nullables
• Type Inference
• Pattern Matching
Monday, November 14, 11
56. Kotlin
• Reified Generics
By Jetbrains
• Nullables
• Type Inference
• Pattern Matching
• Extension Functions
Monday, November 14, 11
57. Kotlin
• Reified Generics
By Jetbrains
• Nullables
• Type Inference
• Pattern Matching
• Extension Functions
Only with support from other
IDEs
Monday, November 14, 11
72. Java.next conclusions
• Java.next needs good tooling
• There are too many choices
Monday, November 14, 11
73. Java.next conclusions
• Java.next needs good tooling
• There are too many choices
• They are all similar
Monday, November 14, 11
74. Java.next conclusions
• Java.next needs good tooling
• There are too many choices
• They are all similar
Java 8
Monday, November 14, 11
75. Java.next conclusions
• Java.next needs good tooling
• There are too many choices
• They are all similar
Java 8 Scala for niches
Monday, November 14, 11
92. Fortress
Wrong development approach
Monday, November 14, 11
93. Parasail
for Phil in Philosopher_Index concurrent loop
const Left_Fork := Phil;
const Right_Fork := Phil mod Num_Phils + 1;
while True loop // Until overall timer terminates procedure
Display(Context.IO.Standard_Output,
"Philosopher " | Phil | " is thinkingn");
Delay(Clock, Next(Context.Random)); // Think
then
Pick_Up_Fork(Forks[Left_Fork], #is_left_fork);
||
Pick_Up_Fork(Forks[Right_Fork], #is_right_fork);
then
Display(Context.IO.Standard_Output,
"Philosopher " | Phil | " is eatingn");
Delay(Clock, Next(Context.Random)); // Eat
then
Put_Down_Fork(Forks[Left_Fork]);
||
Put_Down_Fork(Forks[Right_Fork]);
end loop;
end loop;
end procedure Dinner_Party;
Monday, November 14, 11
94. Parasail
for Phil in Philosopher_Index concurrent loop
const Left_Fork := Phil;
const Right_Fork := Phil mod Num_Phils + 1;
while True loop // Until overall timer terminates procedure
Display(Context.IO.Standard_Output,
"Philosopher " | Phil | " is thinkingn");
Delay(Clock, Next(Context.Random)); // Think
then
Pick_Up_Fork(Forks[Left_Fork], #is_left_fork);
||
Pick_Up_Fork(Forks[Right_Fork], #is_right_fork);
then
Display(Context.IO.Standard_Output,
"Philosopher " | Phil | " is eatingn");
Delay(Clock, Next(Context.Random)); // Eat
then
Put_Down_Fork(Forks[Left_Fork]);
||
Put_Down_Fork(Forks[Right_Fork]);
end loop;
end loop;
end procedure Dinner_Party; Syntax + Tooling
Monday, November 14, 11
95. Æminium
val (immutable Integer >> immutable Integer) ->
immutable Integer fib =
fn (immutable Integer >> immutable Integer n) => {
match (n <= 2) {
case True {
1;
}
case False {
fib(n - 1) + fib(n - 2);
} outside/inside RW R
}
};
- unique unique
R full immutable
RW share pure
Monday, November 14, 11
96. Æminium
val (immutable Integer >> immutable Integer) ->
immutable Integer fib =
fn (immutable Integer >> immutable Integer n) => {
match (n <= 2) {
case True {
1;
}
case False {
fib(n - 1) + fib(n - 2);
} outside/inside RW R
}
};
- unique unique
R full immutable
Hard to write RW share pure
Monday, November 14, 11