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The document discusses process management in operating systems. It covers process concepts like process states, process control blocks (PCBs), and process scheduling. It also covers operations on processes like creation using fork() and exec(), and inter-process communication mechanisms like pipes, shared memory, message queues, semaphores, signals, and FIFOs. Key process management functions like fork(), exec(), wait(), signal(), and alarm() are explained.
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Learning Rx does not have to be boring like working your way through theoretical sermons about esoteric concepts like category theory and duality. Life is too short for that kind of abstract nonsense.
So what is a better way to spend a hot summer day with an ice-cold drink, or a cold winter night with a piping hot drink, than to learn Rx by writing an awesome platform game? In this talk, Erik will walk you through many of the features of Rx through programming a friendly bug to run across a lushy grassy meadow and jump for the stars.
1. The document discusses Rust concepts like ownership, borrowing, cloning, copying, mutable references, threads and channels for parallelism, and shared memory using Arc and Mutex.
2. It provides examples of using ownership and borrowing rules to manage memory, spawning threads and using channels for inter-thread communication, and using Arc and Mutex for shared mutable memory across threads.
3. The document presents these concepts as part of an overview of Rust's approach for safe systems programming without fear of crashes or data races through its ownership and borrowing model.
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The document discusses process management in operating systems. It covers process concepts like process states, process control blocks (PCBs), and process scheduling. It also covers operations on processes like creation using fork() and exec(), and inter-process communication mechanisms like pipes, shared memory, message queues, semaphores, signals, and FIFOs. Key process management functions like fork(), exec(), wait(), signal(), and alarm() are explained.
Один из основных мотивов добавления в Java 8 лямбда-выражений — упростить написание многопоточных программ. На примере несложной вычислительной задачи я покажу эволюцию средств Java для многопоточности. Начнём с Java Threads, а закончим лямбда-выражениями и Stream API. Ну и в результате посмотрим, что и как вышло.
Invited talk: Second Search Computing workshopPaolo Missier
This document discusses workflows in the context of an ecosystem of models, tools, and technologies that can benefit or complement the SeCo paradigm. It focuses on some elements of a workflow's lifecycle, including importing services, benefits of domain-specific service collections, and collecting and querying provenance traces. Well-curated domain-specific service collections have advantages like easier discoverability and built-in interoperability compared to general collections. Provenance metadata captured during workflow runs can provide important context about the data and process.
This document discusses memory models, non-blocking primitives, and lock-free algorithms for concurrent programming. It provides code examples for implementing atomic operations like set, compareAndSet, and lazySet using the Unsafe class. It evaluates the performance of different producer-consumer algorithms like spin-wait, co-operative yielding, and buffering. The document suggests buffering generally performs best by avoiding busy-waiting and allowing other threads to run. It provides references for further information on lock-free programming.
Learning Rx does not have to be boring like working your way through theoretical sermons about esoteric concepts like category theory and duality. Life is too short for that kind of abstract nonsense.
So what is a better way to spend a hot summer day with an ice-cold drink, or a cold winter night with a piping hot drink, than to learn Rx by writing an awesome platform game? In this talk, Erik will walk you through many of the features of Rx through programming a friendly bug to run across a lushy grassy meadow and jump for the stars.
1. The document discusses Rust concepts like ownership, borrowing, cloning, copying, mutable references, threads and channels for parallelism, and shared memory using Arc and Mutex.
2. It provides examples of using ownership and borrowing rules to manage memory, spawning threads and using channels for inter-thread communication, and using Arc and Mutex for shared mutable memory across threads.
3. The document presents these concepts as part of an overview of Rust's approach for safe systems programming without fear of crashes or data races through its ownership and borrowing model.
This document discusses multithreaded and asynchronous programming in C# and file I/O. It covers delegates and how they allow invoking methods asynchronously on separate threads. It also discusses the Threading namespace which provides classes for creating and managing threads like Thread, ThreadStart, and Timer. The document shows examples of getting thread information, passing parameters to threads, locking for thread safety, and using the Dispatcher class to update the UI from a non-UI thread.
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- Key features of Go like functions, structs, interfaces, methods, slices, pointers, go-routines and channels.
- Examples of basic Go code demonstrating functions, structs, methods, interfaces, concurrency with go-routines and channels.
- Discussion of things missing from Go like classes, generics and exceptions.
- Quotes from developers commenting both positively and negatively on Go's simplicity and tradeoffs.
- Links to further resources like the Go tour to learn more.
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- The event loop which acts as an implicit scheduler, putting callbacks in a queue to be run.
- Coroutines, futures and tasks - coroutines are generator functions used for asynchronous code, futures represent values that aren't available yet, and tasks run coroutines in the background.
- Transports, protocols and streams which provide different I/O handling mechanisms like readiness and completion styles on Unix and Windows.
- The event loop architecture which involves calculating timeouts, polling for I/O, processing events and timers, and running pending callbacks in a loop.
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1) Loads a series of images from a file into memory and analyzes frame differences to determine scene changes.
2) Applies frame transformations to adjust for motion between images.
3) Generates a reduced set of frames to display by selecting key frames around detected scene changes.
The program analyzes histograms, motion vectors, and color differences between frames to evaluate scene changes and filter out unnecessary frames.
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the MATLAB signal processing toolbox, to simulate simple multirate DSP systems. The focus
here is to be able to view in the frequency domain what is happening at each stage of a system
involving upsamplers, downsamplers, and lowpass filters. All computations will be performed
using MATLAB and the signal processing toolbox. These same building blocks are available in
Simulink via the DSP blockset. The DSP blockset allows better visualization of the overall system,
but is not available in the ECE general computing laboratory or on most personal systems. A
DSP block set example will be included here just so one can see the possibilities with the additional
MATLAB tools.
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This document provides an overview of the Go programming language including:
- A brief history of Go from its origins at Google in 2007 to current widespread usage.
- Key features of Go like functions, structs, interfaces, methods, slices, pointers, go-routines and channels.
- Examples of basic Go code demonstrating functions, structs, methods, interfaces, concurrency with go-routines and channels.
- Discussion of things missing from Go like classes, generics and exceptions.
- Quotes from developers commenting both positively and negatively on Go's simplicity and tradeoffs.
- Links to further resources like the Go tour to learn more.
This document discusses a component architecture framework for Python called the Zope Component Architecture (ZCA). The ZCA supports component-based design and programming through the use of interfaces and adapters. Interfaces define the contract that a component provides, while adapters allow non-interface implementing objects to be adapted. The ZCA framework includes tools for interface definition, component registration and retrieval, and adapter implementation. Overall, the ZCA provides a standardized approach for building reusable and extensible Python software systems using loosely coupled components.
The document discusses Python functions. It explains that functions allow programmers to define reusable blocks of code to perform tasks or operations. It provides examples of defining functions using def, passing parameters to functions, and how each function call creates a new stack frame. It also discusses how functions can return values and the concept that every function in Python returns something, even if it is None.
Gevent is a Python library that uses greenlets to provide a synchronous-looking API for asynchronous applications. It uses a single OS thread and event loop to handle many connections concurrently by switching between greenlets frequently. This allows applications to achieve high concurrency with low memory usage compared to multithreading. Gevent patches common libraries like sockets to be non-blocking and cooperative. When data is available on a socket, the socket's greenlet is resumed to process it rather than blocking the entire program.
Евгений Крутько, Многопоточные вычисления, современный подход.Platonov Sergey
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This document summarizes an audio noise cancellation project. It outlines the project schedule, methods used including decoding audio files, applying fast Fourier transforms (FFTs) and inverse FFTs (IFFTs), and developing algorithms to filter noise and find suitable noise profiles to subtract. It discusses challenges faced with data types, filter design, and implementing the inverse FFT. The overall goal is to develop techniques to remove noise from audio signals.
This document summarizes an introductory talk on the asyncio module in Python. It discusses the main components of asyncio including:
- The event loop which acts as an implicit scheduler, putting callbacks in a queue to be run.
- Coroutines, futures and tasks - coroutines are generator functions used for asynchronous code, futures represent values that aren't available yet, and tasks run coroutines in the background.
- Transports, protocols and streams which provide different I/O handling mechanisms like readiness and completion styles on Unix and Windows.
- The event loop architecture which involves calculating timeouts, polling for I/O, processing events and timers, and running pending callbacks in a loop.
Artificial Neural Network in a Tic Tac Toe Symfony Console Application - Symf...aferrandini
This document discusses using artificial neural networks (ANNs) with PHP and the Symfony Console component. It covers ANN theory like activation functions, backpropagation, and learning types. It demonstrates how to build a Tic-Tac-Toe game with reinforcement learning and the Symfony Console. The document also provides instructions for installing the PHP FANN extension to interface with ANNs and code examples using this library.
The document contains code for an image processing program that:
1) Loads a series of images from a file into memory and analyzes frame differences to determine scene changes.
2) Applies frame transformations to adjust for motion between images.
3) Generates a reduced set of frames to display by selecting key frames around detected scene changes.
The program analyzes histograms, motion vectors, and color differences between frames to evaluate scene changes and filter out unnecessary frames.
About Those Python Async Concurrent Frameworks - Fantix @ OSTC 2014Fantix King 王川
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sizeof(Object): how much memory objects take on JVMs and when this may matterDawid Weiss
The object header contains metadata such as the identity hash, mark, and klass. Hexdumping the memory of a simple object before and after getting the identity hash shows the hash being written to the header. On 64-bit JVMs, the header is 8 bytes, containing unused space, hash, and mark fields. On 32-bit JVMs, the header is 4 bytes, with the hash overwriting unused space after being set.
This technical note explains how you can very easily use the command line functions available in
the MATLAB signal processing toolbox, to simulate simple multirate DSP systems. The focus
here is to be able to view in the frequency domain what is happening at each stage of a system
involving upsamplers, downsamplers, and lowpass filters. All computations will be performed
using MATLAB and the signal processing toolbox. These same building blocks are available in
Simulink via the DSP blockset. The DSP blockset allows better visualization of the overall system,
but is not available in the ECE general computing laboratory or on most personal systems. A
DSP block set example will be included here just so one can see the possibilities with the additional
MATLAB tools.
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Write a Matlab code (a computerized program) for calculating plane st.docxajoy21
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seccomp is a computer security facility in the Linux kernel, pledge is a similar security facility in the OpenBSD kernel. In this presentation Giovanni Bechis will review the development story and progress of both kernel interfaces and will analyze the main differences. There will be some examples of implementations of security patches made for some important open source projects.
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The document discusses modifying and customizing the "Tampon Run" game. It provides hints and instructions for how to easily change various aspects of the game like skipping the intro, changing navigation keys, colors, sounds, and more. Code snippets demonstrate how to modify things like the initial number of tampons, tampon color, background color, and other game properties. The document encourages creating new animations, enemies, and interactive experiences that portray women in a positive light.
Can you give an example of a binary heap programCan you give an .pdfarorasales234
Can you give an example of a binary heap program
Can you give an example of a binary heap program
Solution
/*
* C Program to Implement a Heap & provide Insertion & Deletion Operation
*/
#include
int array[100], n;
main()
{
int choice, num;
n = 0;/*Represents number of nodes in the heap*/
while(1)
{
printf(\"1.Insert the element \ \");
printf(\"2.Delete the element \ \");
printf(\"3.Display all elements \ \");
printf(\"4.Quit \ \");
printf(\"Enter your choice : \");
scanf(\"%d\", &choice);
switch(choice)
{
case 1:
printf(\"Enter the element to be inserted to the list : \");
scanf(\"%d\", &num);
insert(num, n);
n = n + 1;
break;
case 2:
printf(\"Enter the elements to be deleted from the list: \");
scanf(\"%d\", &num);
delete(num);
break;
case 3:
display();
break;
case 4:
exit(0);
default:
printf(\"Invalid choice \ \");
}/*End of switch */
}/*End of while */
}/*End of main()*/
display()
{
int i;
if (n == 0)
{
printf(\"Heap is empty \ \");
return;
}
for (i = 0; i < n; i++)
printf(\"%d \", array[i]);
printf(\"\ \");
}/*End of display()*/
insert(int num, int location)
{
int parentnode;
while (location > 0)
{
parentnode =(location - 1)/2;
if (num <= array[parentnode])
{
array[location] = num;
return;
}
array[location] = array[parentnode];
location = parentnode;
}/*End of while*/
array[0] = num; /*assign number to the root node */
}/*End of insert()*/
delete(int num)
{
int left, right, i, temp, parentnode;
for (i = 0; i < num; i++) {
if (num == array[i])
break;
}
if (num != array[i])
{
printf(\"%d not found in heap list\ \", num);
return;
}
array[i] = array[n - 1];
n = n - 1;
parentnode =(i - 1) / 2; /*find parentnode of node i */
if (array[i] > array[parentnode])
{
insert(array[i], i);
return;
}
left = 2 * i + 1; /*left child of i*/
right = 2 * i + 2; /* right child of i*/
while (right < n)
{
if (array[i] >= array[left] && array[i] >= array[right])
return;
if (array[right] <= array[left])
{
temp = array[i];
array[i] = array[left];
array[left] = temp;
i = left;
}
else
{
temp = array[i];
array[i] = array[right];
array[right] = temp;
i = right;
}
left = 2 * i + 1;
right = 2 * i + 2;
}/*End of while*/
if (left == n - 1 && array[i]) {
temp = array[i];
array[i] = array[left];
array[left] = temp;
}
}
Output:.
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Why we are submitting this talk? Because Go is cool and we would like to hear more about this language ;-). In this talk we would like to tell you about our experience with development of microservices with Go. Go enables devs to create readable, fast and concise code, this - beyond any doubt is important. Apart from this we would like to leverage our test driven habbits to create bulletproof software. We will also explore other aspects important for adoption of a new language.
This document provides instructions and outlines content for a lab session on loops in C++. It begins with lab rules and outlines topics to be covered, including for, while, and do-while loops. It then demonstrates the syntax and use of each loop type with examples. The document concludes with assignments for students, including practice tasks to print output using different loops, and information on how to contact the instructor.
The document describes various image filtering and processing techniques in Matlab code, including maximum, minimum, average, smoothing, median, difference, Prewitt, Sobel, unsharp mask, Robert, and Gaussian filters. It also provides examples of quicksort, perfect number, greatest common divisor (GCD), and palindrome algorithms in Java code, as well as descriptions of the Tower of Hanoi problem and finding the shortest path on a grid.
This Java program allows a user to perform arithmetic operations and generate random numbers on arrays of double values. The user is presented with a menu to choose between adding, subtracting, multiplying, dividing, dot product, or generating a random array. For each operation, the user can enter size of the arrays and values. The program then performs the selected operation and displays the results. It includes error handling for cases like dividing by zero. Methods are defined to get user input, perform the operations, and generate random numbers within a given range.
This document provides tips and tricks for installing Kotlin programming tools and covers fundamental Kotlin concepts like data types, variables, functions, control flow structures, and loops. It discusses installing Kotlin and resolving common errors. It introduces basic Kotlin syntax for strings, numbers, Booleans, arrays, and more. It also covers if/else expressions, when expressions, enums, loops like while, for, and for-each, and break/continue functionality. The document encourages practicing exercises to continue learning Kotlin.
The document summarizes improvements that could be made to a BeatBox program. It suggests:
1) Adding a dialog to ask the user if they want to save the current pattern before loading a new one from another user.
2) Adding error handling for when a command line argument is not passed to specify the user name, either using a default or prompting the user to rerun the program with an argument.
3) Adding features to randomly generate patterns or load preset foundation patterns that the user can build on, like jazz, rock, or reggae patterns.
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
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
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- Understanding dictionaries and how to identify business entities;
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- Setting a table granularity;
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- Types of dimensions;
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An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
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5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
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Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
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4. Deployment Using ArgoCD for Edge Devices
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5. Introduction to Apache Kafka and S3
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6. Viewing Kafka Messages in the Data Lake
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7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
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Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
3. MC Squared . . .
° is a musical instrument that detects motion and generates sounds
from each side
° can be played with any part of the body, or an object
can be played by one or more than one person
° is simple, intuitive, playful, expressive
°
4. What People are Saying
about MC Squared
° “This is so fun!”
“Sexy!”
° “Awesome!”
°
5. USer Profile
° Musicians and nonmusicians.
umans, age 7 and up. Cats, age 6 weeks and up.
H
° People who have phobias about touching things.
°
A cat playing a theremin—one of many such talented
felines.
8. videos: Groovebox observation
click image to play click image to play
Diego set up his Groovebox in the ITP lobby, and we observed several people using it. This device was one of the inspirations
behind our project. I has a motion sensor at the top, just to the left of the numbers, which generates wacky thereminic sounds.
9. how MC Squared works
° ach side is embedded with an infrared sensor that detects
E
movements within a range of about 2 to 12 inches in front of it.
° library in Processing.
ignals from each sensor trigger a different sound, using the Minim
S
10. video: Initial version
click image to play
Diego and FIlippo play our first prototype. This two-sensor model
played sounds continuously, as long as an object was in range of the
sensors. Nearer objects generated one sound from each sensor; farther
objects, another, for a total of four sounds. The code is on India’s blog.
11. video: An intermediate version
click image to play
Diego plays a version with more sensors and revised code.
12. video: The penultimate (?) version
click image to play
Carolina Vallejo, Sara Bremen, Eyal Ohana, Filippo, and
Diego trying out the newest version on Tuesday evening.
This model sports a new, larger foam box and plays each
sound clip only once for each (contact-free) hit.
13. strates how to use the preVal[i]=0; myPort = new Serial( this, myPort.readStringUntil( ‘n’ //preVal=val;
<code>play</code> method of a val[i]=0; Serial.list()[2], 9600 ); ); //val=sensors[0];
<code>Playable</code> class. } // Read bytes into a buf- // If you got any bytes //println(val);
* The class used here is minim = new Minim(this); fer until you get a line other than the line feed: // Loop through to read
<code>AudioPlayer</code>, sample1 = minim.loadSample( feed. if ( bufferedString != null data from each sensor.
but you can also play an “kick01.wav”, 2048 ); myPort.bufferUntil( ‘n’ ); ) for ( int sensorNum = 0;
<code>AudioSnippet</code>. if ( sample1 == null ) { } { sensorNum < sensors.length;
* Playing a println( “Didn’t get void draw() bufferedString = trim( sensorNum++ )
code
<code>Playable</code> causes kick!” ); { bufferedString ); {
it to begin playing from the } background(0); /* Split the string at /* Print out the val-
current position. When it minim = new Minim(this); the tab(s) and convert the ues received from the sensors
reaches sample2 = minim.loadSample( //println(preVal+” “+val); sections into integers. (whose number was
* the end of the recording “snare.wav”, 2048 ); //println(val); Each section represents determined by the num-
it will emit silence, it will if ( sample2 == null ) { if (val[0]==1 && pre- one of the sensors. ber of tabbed sections.
not stop! In other words, if println( “Didn’t get Val[0]==0){ */ */
° Arduino: mc_squared_arduino_code.zip (64 KB)
you play something and kick!” ); println(“DSAD”); sensors = int( split( // print( “Sen-
rocessing: mc_squared_processing_code.zip (957KB)
P
* it gets to the end of the
file, it will not stop and
}
minim = new Minim(this); }
soundSample1(); bufferedString, ‘t’ ) ); sor “ + sensorNum + “: “ +
sensors[sensorNum] + “tt”
rewind, it will continue to sample3 = minim.loadSample( if (val[1]==1 pre- /* println(sensors[0]); );
°
try to read the file, but get “snare2.wav”, 2048 ); Val[1]==0){ println(sensors[1]); }
* nothing and send silence if ( sample3 == null ) { println(“BAM”); println(sensors[2]);
to the audio system. If you println( “Didn’t get soundSample2(); println(sensors[3]); }
call codeisPlaying()/code kick!” ); } println(sensors[4]); }
at that point, it will return } if (val[2]==1 pre- println(sensors[5]);*/ void soundSample1(){
true, minim = new Minim(this); Val[2]==0){ if (sensors[0] 350){ sample1.trigger();
* because the player is sample4 = minim.loadSample( println(“BAM”); val[0] = 1; }
still trying to read the file, “loop2.wav”, 2048 ); soundSample3(); } else {
think of a record player that if ( sample4 == null ) { } val[0] = 0; void soundSample2(){
gets to the end of a record. println( “Didn’t get if (val[3]==1 pre- } sample2.trigger();
* It just goes around on kick!” ); Val[3]==0){ if (sensors[1] 350){ }
the same groove. It’s not } println(“BAM”); void soundSample3(){
making any sound (well, minim = new Minim(this); soundSample4(); val[1] = 1; sample3.trigger();
crackles maybe) but it is sample5 = minim.loadSample( } } else { }
still playing. “hihat.wav”, 2048 ); if (val[4]==1 pre- val[1] = 0; void soundSample4(){
* Press ‘p’ to play the if ( sample5 == null ) { Val[4]==0){ } sample4.trigger();
file. println( “Didn’t get println(“BAM”); if (sensors[2] 350){ }
* kick!” ); soundSample5(); val[2] = 1; void soundSample5(){
*/ } } } else { sample5.trigger();
minim = new Minim(this); val[2] = 0; }
import processing.serial.*; sample6 = minim.loadSample( if (val[5]==1 pre- } void soundSample6(){
import ddf.minim.*; “loop1.wav”, 2048 ); Val[5]==0){ if (sensors[3] 350){ sample6.trigger();
Serial myPort; if ( sample6 == null ) { println(“BAM”); val[3] = 1; }
Minim minim; println( “Didn’t get soundSample6(); } else {
AudioSample sample1; kick!” ); } val[3] = 0; void stop()
AudioSample sample2; } preVal[0]=val[0]; } {
AudioSample sample3; /* List all the available preVal[1]=val[1]; if (sensors[4] 350){ // always close Minim audio
AudioSample sample4; serial ports. Don’t really preVal[2]=val[2]; val[4] = 1; classes when you are done
AudioSample sample5; need to do this, since preVal[3]=val[3]; } else { with them
AudioSample sample6; it’s always zero for me, preVal[4]=val[4]; val[4] = 0; sample1.close();
int[] sensors; but it doesn’t hurt. preVal[5]=val[5]; } sample2.close();
int[] preVal = new int[6]; */ } if (sensors[5] 350){ sample3.close();
//int val=0; println(Serial.list() ); void serialEvent( Serial val[5] = 1; sample4.close();
int[] val = new int[6]; // If I wanted a port myPort ) } else { sample5.close();
void setup(){ { val[5] = 0; sample6.close();
14. design decisions
° ach side has a different icon and color, to aid the players in
E
associating each side with a specific sound.
° make the interaction with MC Squared predictable and intuitive.
ach side uses the same kind of sensor, having the same range, to
E
° control, to make it simple to operate.
ach sensor functions as a digital switch rather than a variable
E
21. Future Possibilities
° MC Squared could be installed in public places, to get people
involved in playful interactions in unexpected environments (e.g.,
airports, train stations).
° MC Squared could come with alternate sound packs—electronica,
stringed instruments, etc.
° sound loops on the fly.
Buttons and a mic could be added so that users could record new