Slides from session CON3189 presented by Kevin Hooke (@kevinhooke) and Julio Palma (@restalion) at JavaOne 2016 - Introduction to Java ME Development for the Raspberry Pi
Con3187 Creating Industrial Middleware with Java ME and Single-Board ComputersJulio Palma Vázquez
This document describes a solution for creating industrial middleware using Java ME and single-board computers. The solution involves using Java ME applications on single-board computers like Raspberry Pis to interface with industrial machines and sensors. A translation middleware written in Java ME translates signals from machines to events that are sent to a receiver microservice. The receiver microservice stores the events and provides processed interval data to an ERP simulator application. The architecture allows retrieving real-time data from machines without direct access and presenting it in a structured format for decision making.
Java Device I/O at Raspberry PI to Build a Candy Vending MachineJeff Prestes
Learn about DK 8 and Device I/O Library
Also, see the lab how to install from scratch Rasbian, JDK 8, Device I/O on a RaspberryPi.
See the code from github and build your own machine
This document discusses using a Raspberry Pi for various amateur radio projects. It begins by explaining what a Raspberry Pi is - an inexpensive single-board computer running Linux. It then provides examples of using a Raspberry Pi for software defined radio with an RTL-SDR dongle, receiving ADS-B aircraft signals, using WSPR for weak signal propagation reporting with the WsprryPi software, acting as a D-STAR access point with a DVAP dongle, using it for packet radio with software like Direwolf and hardware TNCs, setting up a packet BBS with PiLinBPQ, and using it for APRS with clients like Xastir and YAAC.
Raspberry Pi and Amateur Radio - 2020 updateKevin Hooke
Raspberry Pi and Amateur Radio
The document discusses various ways a Raspberry Pi can be used for amateur radio activities. It describes how to set up a Raspberry Pi with software-defined radio (SDR) dongles to receive ADS-B aircraft signals and use WSPR and other digital modes. It also covers using a Raspberry Pi as a cheap desktop replacement for logging and internet access, as well as setting up a Raspberry Pi for packet radio with a TNC board and software like Direwolf. The document provides examples of complete Raspberry Pi packet radio stations that can be made portable with USB batteries.
Getting started with AGL using a Raspberry PiLeon Anavi
Automotive Grade Linux (AGL) All Members Meeting (AMM) 2020
In 2016 Automotive Grade Linux was ported to Raspberry Pi and since then this low-cost single board computer has become a preferred getting started platform among the community. Although Raspberry Pi doesn't match the hardware capabilities of high-end industrial and automotive hardware platforms, its wide availability and low-cost makes it a great choice for rapid prototyping and exploring AGL.
This presentation will provide guidelines and exact steps for building AGL image for Raspberry Pi. We will explore the past and present of AGL on Raspberry Pi, including practical experience for supporting Wayland, PipeWire, libostree for software over the air updates and various hardware peripherals.
The talk is appropriate for beginners. No previous experience with AGL is required. Hopefully, the presentation will encourage more people to join and contribute to our open source community!
Building your own RC Car with Raspberry PiJeff Prestes
In this presentation we talk about basic concepts of Internet of Things, Java for Embedded, Android, Raspberry Pi and a practical workshop how to create your own IoT RC Car - Brasilino - and rent it.
DEVOXX Let's Get Physical: I/O Programming with Java on the Raspberry Pi usin...savageautomate
Presented @ DEVOXX 2014
LET'S GET PHYSICAL: I/O PROGRAMMING WITH JAVA ON THE RASPBERRY PI USING PI4J
Wednesday at 14:00 - 15:00 @ ROOM 4
Robert Savage (@savageautomate)
http://cfp.devoxx.be/2014/talk/JWA-8162/Let's_Get_Physical:_I%2FO_Programming_with_Java_on_the_Raspberry_Pi_using_Pi4J
http://www.savagehomeautomation.com/projects/pi4j-devoxx-2014.html
Getting Started with Embedded Python: MicroPython and CircuitPythonAyan Pahwa
This document provides an introduction to MicroPython and CircuitPython, which allow Python programming on microcontrollers. MicroPython is a stripped-down version of Python 3 that runs directly on microcontrollers. It includes APIs for hardware modules like GPIOs, UART, PWM, etc. CircuitPython is a fork of MicroPython maintained by Adafruit for use on their educational boards. The document discusses supported boards, functions, libraries, and ways to interact with MicroPython boards through the serial REPL, web REPL, file system, emulation, and demos blinking an LED and measuring temperature/humidity.
Con3187 Creating Industrial Middleware with Java ME and Single-Board ComputersJulio Palma Vázquez
This document describes a solution for creating industrial middleware using Java ME and single-board computers. The solution involves using Java ME applications on single-board computers like Raspberry Pis to interface with industrial machines and sensors. A translation middleware written in Java ME translates signals from machines to events that are sent to a receiver microservice. The receiver microservice stores the events and provides processed interval data to an ERP simulator application. The architecture allows retrieving real-time data from machines without direct access and presenting it in a structured format for decision making.
Java Device I/O at Raspberry PI to Build a Candy Vending MachineJeff Prestes
Learn about DK 8 and Device I/O Library
Also, see the lab how to install from scratch Rasbian, JDK 8, Device I/O on a RaspberryPi.
See the code from github and build your own machine
This document discusses using a Raspberry Pi for various amateur radio projects. It begins by explaining what a Raspberry Pi is - an inexpensive single-board computer running Linux. It then provides examples of using a Raspberry Pi for software defined radio with an RTL-SDR dongle, receiving ADS-B aircraft signals, using WSPR for weak signal propagation reporting with the WsprryPi software, acting as a D-STAR access point with a DVAP dongle, using it for packet radio with software like Direwolf and hardware TNCs, setting up a packet BBS with PiLinBPQ, and using it for APRS with clients like Xastir and YAAC.
Raspberry Pi and Amateur Radio - 2020 updateKevin Hooke
Raspberry Pi and Amateur Radio
The document discusses various ways a Raspberry Pi can be used for amateur radio activities. It describes how to set up a Raspberry Pi with software-defined radio (SDR) dongles to receive ADS-B aircraft signals and use WSPR and other digital modes. It also covers using a Raspberry Pi as a cheap desktop replacement for logging and internet access, as well as setting up a Raspberry Pi for packet radio with a TNC board and software like Direwolf. The document provides examples of complete Raspberry Pi packet radio stations that can be made portable with USB batteries.
Getting started with AGL using a Raspberry PiLeon Anavi
Automotive Grade Linux (AGL) All Members Meeting (AMM) 2020
In 2016 Automotive Grade Linux was ported to Raspberry Pi and since then this low-cost single board computer has become a preferred getting started platform among the community. Although Raspberry Pi doesn't match the hardware capabilities of high-end industrial and automotive hardware platforms, its wide availability and low-cost makes it a great choice for rapid prototyping and exploring AGL.
This presentation will provide guidelines and exact steps for building AGL image for Raspberry Pi. We will explore the past and present of AGL on Raspberry Pi, including practical experience for supporting Wayland, PipeWire, libostree for software over the air updates and various hardware peripherals.
The talk is appropriate for beginners. No previous experience with AGL is required. Hopefully, the presentation will encourage more people to join and contribute to our open source community!
Building your own RC Car with Raspberry PiJeff Prestes
In this presentation we talk about basic concepts of Internet of Things, Java for Embedded, Android, Raspberry Pi and a practical workshop how to create your own IoT RC Car - Brasilino - and rent it.
DEVOXX Let's Get Physical: I/O Programming with Java on the Raspberry Pi usin...savageautomate
Presented @ DEVOXX 2014
LET'S GET PHYSICAL: I/O PROGRAMMING WITH JAVA ON THE RASPBERRY PI USING PI4J
Wednesday at 14:00 - 15:00 @ ROOM 4
Robert Savage (@savageautomate)
http://cfp.devoxx.be/2014/talk/JWA-8162/Let's_Get_Physical:_I%2FO_Programming_with_Java_on_the_Raspberry_Pi_using_Pi4J
http://www.savagehomeautomation.com/projects/pi4j-devoxx-2014.html
Getting Started with Embedded Python: MicroPython and CircuitPythonAyan Pahwa
This document provides an introduction to MicroPython and CircuitPython, which allow Python programming on microcontrollers. MicroPython is a stripped-down version of Python 3 that runs directly on microcontrollers. It includes APIs for hardware modules like GPIOs, UART, PWM, etc. CircuitPython is a fork of MicroPython maintained by Adafruit for use on their educational boards. The document discusses supported boards, functions, libraries, and ways to interact with MicroPython boards through the serial REPL, web REPL, file system, emulation, and demos blinking an LED and measuring temperature/humidity.
Getting Started with Raspberry Pi and ArduinoChad Mairn
This document provides an overview of the Arduino and Raspberry Pi microcontroller boards and development environments. It discusses the differences between the two boards, including that Arduino is a microcontroller and Raspberry Pi is a mini computer. Various starter kits for both boards are presented, along with example projects and resources for learning more. Electronic components, IDEs, and sample code for getting started are also reviewed.
MicroPython is an implementation of Python 3 optimized to run on microcontrollers. It includes a small subset of the Python standard libraries and exposes low-level hardware modules. MicroPython aims to be compatible with normal Python while fitting within small memory constraints of microcontrollers. It supports an interactive prompt, arithmetic, and programming concepts like lists and generators. Users can interact with MicroPython boards via serial connection, WebREPL over WiFi, or emulator. Common uses include programming LEDs and sensors for IoT applications.
The project uses ultrasonic sensor and ESP8266 to monitor tank water level at any point of time.
The monitoring aspect has 2 objectives:
To check water level at any given point (achieved with the help of cloud connectivity through Thingspeak)
To send an alert message when tank is filled or empty (achieved with the help of Notify My Android app)
Using arduino and raspberry pi for internet of thingsSudar Muthu
The document introduces Arduino and Raspberry Pi for internet of things applications. It discusses the basics of both platforms, including components, programming, and interfacing with sensors and actuators. It provides examples of blinking LEDs, reading button input, and controlling an LED based on light level. Finally, it compares Arduino and Raspberry Pi, concluding they are best used together to take advantage of their complementary capabilities.
IoT simple with the ESP8266 - presented at the July 2015 Austin IoT Hardware ...David Fowler
The Austin IoT Hardware Sub-Group meetup focused on hands-on demonstrations and discussions around creating IoT devices for fun or profit. The meetup agenda included introductions, announcements of jobs and demo projects, and a presentation on the ESP8266 WiFi module. The ESP8266 was discussed as an inexpensive WiFi module that can be programmed through an AT command set or using NodeMCU, Arduino, or raw C/C++ code. Challenges discussed included FCC certification for products, WiFi configuration, code and memory limits, and power/noise issues.
Arduino vs Raspberry Pi | Which Board to Choose for IoT Projects | IoT Device...Edureka!
The document compares the Arduino and Raspberry Pi integrated circuit boards. It outlines their specifications, modes of operation, and available boards. The Arduino is a single-board microcontroller best for controlling machines, while the Raspberry Pi is a single-board computer that supports audio/GUI and is best for logical data processing and system communication. Examples of suitable projects for each are provided.
This document summarizes an ESP8266+Arduino workshop that demonstrates connecting an ESP8266 WiFi module to Arduino and programming it to create WiFi networks and access the internet. The workshop shows how to communicate with the ESP8266 using AT commands over serial, program it using the Arduino IDE, and use it as a web server and client. Code examples are provided to retrieve sensor data using a DHT11 and send it to a cloud database using the ESP8266's WiFi connection.
Home automation-in-the-cloud-with-the-esp8266-and-adafruit-ioTran Minh Nhut
The document describes building a home automation system using ESP8266 WiFi modules and Adafruit IO cloud service. It involves creating two modules - a sensor module to measure temperature and humidity using a DHT sensor, and a lamp controller module to control a lamp. The modules are programmed using Arduino IDE and code from a GitHub repository. They connect to Adafruit IO to send sensor readings and receive commands to control the lamp remotely over the internet.
My slide at the Milan Codemotion 2015, a session called "An Adventure with ESP8266 and IOT" about using the esp8266 with NodeMCU, mosquitto, nodejs and an accelerometer. All the sourcecode will be available at http://pestohacks.blogspot.com soon
Rapidly developing IoT (Internet of Things) applications - Part 2: Arduino, B...Raul Chong
These are the slides used in the Toronto-SMAC meetup:
"Rapidly developing IoT (Internet of Things) applications - Part 2"
http://www.meetup.com/Toronto-SMAC-Social-Mobile-Analytics-Cloud-Meetup/events/195132732/
Topics covered:
- Arduino and sensors: Bus simulation project
- Freakduino and solar panels: Vibrometer project
- Raspberry-Pi: Home security system (part 2)
- Oculus Rift: Developing an Educational game (part 2)
- Beacons: Tracking customer patterns at a retail store
- Introduction to Node-Red
Why You Cannot Use Neural Engine to Run Your NN Models on A11 Devices?Koan-Sin Tan
The document discusses using Neural Engine on A11 and A12 devices. It provides log outputs showing Neural Engine (ANE) being used on an iPhone Xs Max and not being used on an iPhone 8 Plus and iPhone 6s, which have A11 and earlier chips. It also shares code for checking the compute units and provides links to example projects for using Neural Engine on Core ML models.
Exploring Your Apple M1 devices with Open Source ToolsKoan-Sin Tan
This document summarizes Koan-Sin Tan's presentation on exploring Apple M1 devices using open source tools. Tan has experience using open source software on Unix systems dating back to the 1970s. The presentation covers how the macOS kernel is based on Mach and has some open source components. It also discusses using IOKit on macOS to access sensor data from devices, including temperature readings from an M1 MacBook Pro. Tan provides code examples for retrieving sensor data and details challenges in accessing private APIs and sensor data on iOS devices.
Malte Timmermann from Sun Microsystems gave a presentation on accessibility efforts at Sun and with OpenOffice.org. He discussed Sun's work on accessibility APIs for Java and GNOME, as well as screen readers like Gnopernicus and Orca. For OpenOffice.org, he covered the Universal Accessibility API bridge to Java accessibility and efforts to support assistive technologies on multiple platforms. A project of interest was the Orca screen reader for GNOME, developed initially by Sun engineers and now an open source project.
Android Things - The IoT platform from GoogleEmmanuel Obot
Android Things - The IoT platform from Google, it's easy to learn.
Follow the presentation and learn.
With Android things base project to remotely control appliances and monitor or get alert of an intruder via mobile phone.
This document provides instructions for setting up a Raspberry Pi. It discusses the hardware requirements, installing the Raspbian operating system using NOOBS or downloading the image file, and setting up the Korean language. It also explains how to access the Raspberry Pi remotely using a "headless" setup with VNC server and client software, allowing control without an attached monitor or keyboard. Major topics covered include installing OSes like Raspbian, connecting to WiFi or Ethernet, and configuring language and timezone settings.
The document summarizes the ESP8266, a low-cost WiFi microchip that allows microcontrollers to connect to the Internet. It details the chip's specifications, programming options including AT commands, C, Lua, and MicroPython. Examples are provided of using the NodeMCU firmware to program the chip in Lua and control it via WiFi. Resources like forums, SDKs, example code, and this demo are listed to help developers get started with ESP8266 projects.
Scaling IoT: Telemetry, Command & Control, Analytics and the CloudNick Landry
The document discusses the history and future of connectivity and computing from Henry IV's goal of a chicken in every pot to Bill Gates' vision of a computer on every desk. It then discusses how Moore's Law, Metcalf's Law, and Koomey's Law have driven exponential growth in transistors, connectivity, and computational power over time. The rest of the document discusses concepts like the Internet of Things (IoT), how IoT solutions work from initial device and data collection through data analytics and insights. It provides examples of how IoT could be used and concludes with resources for getting started with IoT.
Building Better IoT Applications without ServersIan Massingham
This document discusses using serverless architectures with AWS services like AWS IoT, Lambda, DynamoDB, and S3 to build IoT applications without having to manage servers. It provides examples of how to connect devices to AWS IoT and trigger AWS Lambda functions in response to device events. These functions can then interact with other AWS services like DynamoDB, S3, and external APIs to implement applications like counting item usage from an IoT button and storing the data in DynamoDB, or starting a device when the button is pressed by invoking an external API via Lambda. The document also provides guidance on setting up a Raspberry Pi with sensors for local IoT development and connecting devices to AWS IoT.
Getting Started with Raspberry Pi and ArduinoChad Mairn
This document provides an overview of the Arduino and Raspberry Pi microcontroller boards and development environments. It discusses the differences between the two boards, including that Arduino is a microcontroller and Raspberry Pi is a mini computer. Various starter kits for both boards are presented, along with example projects and resources for learning more. Electronic components, IDEs, and sample code for getting started are also reviewed.
MicroPython is an implementation of Python 3 optimized to run on microcontrollers. It includes a small subset of the Python standard libraries and exposes low-level hardware modules. MicroPython aims to be compatible with normal Python while fitting within small memory constraints of microcontrollers. It supports an interactive prompt, arithmetic, and programming concepts like lists and generators. Users can interact with MicroPython boards via serial connection, WebREPL over WiFi, or emulator. Common uses include programming LEDs and sensors for IoT applications.
The project uses ultrasonic sensor and ESP8266 to monitor tank water level at any point of time.
The monitoring aspect has 2 objectives:
To check water level at any given point (achieved with the help of cloud connectivity through Thingspeak)
To send an alert message when tank is filled or empty (achieved with the help of Notify My Android app)
Using arduino and raspberry pi for internet of thingsSudar Muthu
The document introduces Arduino and Raspberry Pi for internet of things applications. It discusses the basics of both platforms, including components, programming, and interfacing with sensors and actuators. It provides examples of blinking LEDs, reading button input, and controlling an LED based on light level. Finally, it compares Arduino and Raspberry Pi, concluding they are best used together to take advantage of their complementary capabilities.
IoT simple with the ESP8266 - presented at the July 2015 Austin IoT Hardware ...David Fowler
The Austin IoT Hardware Sub-Group meetup focused on hands-on demonstrations and discussions around creating IoT devices for fun or profit. The meetup agenda included introductions, announcements of jobs and demo projects, and a presentation on the ESP8266 WiFi module. The ESP8266 was discussed as an inexpensive WiFi module that can be programmed through an AT command set or using NodeMCU, Arduino, or raw C/C++ code. Challenges discussed included FCC certification for products, WiFi configuration, code and memory limits, and power/noise issues.
Arduino vs Raspberry Pi | Which Board to Choose for IoT Projects | IoT Device...Edureka!
The document compares the Arduino and Raspberry Pi integrated circuit boards. It outlines their specifications, modes of operation, and available boards. The Arduino is a single-board microcontroller best for controlling machines, while the Raspberry Pi is a single-board computer that supports audio/GUI and is best for logical data processing and system communication. Examples of suitable projects for each are provided.
This document summarizes an ESP8266+Arduino workshop that demonstrates connecting an ESP8266 WiFi module to Arduino and programming it to create WiFi networks and access the internet. The workshop shows how to communicate with the ESP8266 using AT commands over serial, program it using the Arduino IDE, and use it as a web server and client. Code examples are provided to retrieve sensor data using a DHT11 and send it to a cloud database using the ESP8266's WiFi connection.
Home automation-in-the-cloud-with-the-esp8266-and-adafruit-ioTran Minh Nhut
The document describes building a home automation system using ESP8266 WiFi modules and Adafruit IO cloud service. It involves creating two modules - a sensor module to measure temperature and humidity using a DHT sensor, and a lamp controller module to control a lamp. The modules are programmed using Arduino IDE and code from a GitHub repository. They connect to Adafruit IO to send sensor readings and receive commands to control the lamp remotely over the internet.
My slide at the Milan Codemotion 2015, a session called "An Adventure with ESP8266 and IOT" about using the esp8266 with NodeMCU, mosquitto, nodejs and an accelerometer. All the sourcecode will be available at http://pestohacks.blogspot.com soon
Rapidly developing IoT (Internet of Things) applications - Part 2: Arduino, B...Raul Chong
These are the slides used in the Toronto-SMAC meetup:
"Rapidly developing IoT (Internet of Things) applications - Part 2"
http://www.meetup.com/Toronto-SMAC-Social-Mobile-Analytics-Cloud-Meetup/events/195132732/
Topics covered:
- Arduino and sensors: Bus simulation project
- Freakduino and solar panels: Vibrometer project
- Raspberry-Pi: Home security system (part 2)
- Oculus Rift: Developing an Educational game (part 2)
- Beacons: Tracking customer patterns at a retail store
- Introduction to Node-Red
Why You Cannot Use Neural Engine to Run Your NN Models on A11 Devices?Koan-Sin Tan
The document discusses using Neural Engine on A11 and A12 devices. It provides log outputs showing Neural Engine (ANE) being used on an iPhone Xs Max and not being used on an iPhone 8 Plus and iPhone 6s, which have A11 and earlier chips. It also shares code for checking the compute units and provides links to example projects for using Neural Engine on Core ML models.
Exploring Your Apple M1 devices with Open Source ToolsKoan-Sin Tan
This document summarizes Koan-Sin Tan's presentation on exploring Apple M1 devices using open source tools. Tan has experience using open source software on Unix systems dating back to the 1970s. The presentation covers how the macOS kernel is based on Mach and has some open source components. It also discusses using IOKit on macOS to access sensor data from devices, including temperature readings from an M1 MacBook Pro. Tan provides code examples for retrieving sensor data and details challenges in accessing private APIs and sensor data on iOS devices.
Malte Timmermann from Sun Microsystems gave a presentation on accessibility efforts at Sun and with OpenOffice.org. He discussed Sun's work on accessibility APIs for Java and GNOME, as well as screen readers like Gnopernicus and Orca. For OpenOffice.org, he covered the Universal Accessibility API bridge to Java accessibility and efforts to support assistive technologies on multiple platforms. A project of interest was the Orca screen reader for GNOME, developed initially by Sun engineers and now an open source project.
Android Things - The IoT platform from GoogleEmmanuel Obot
Android Things - The IoT platform from Google, it's easy to learn.
Follow the presentation and learn.
With Android things base project to remotely control appliances and monitor or get alert of an intruder via mobile phone.
This document provides instructions for setting up a Raspberry Pi. It discusses the hardware requirements, installing the Raspbian operating system using NOOBS or downloading the image file, and setting up the Korean language. It also explains how to access the Raspberry Pi remotely using a "headless" setup with VNC server and client software, allowing control without an attached monitor or keyboard. Major topics covered include installing OSes like Raspbian, connecting to WiFi or Ethernet, and configuring language and timezone settings.
The document summarizes the ESP8266, a low-cost WiFi microchip that allows microcontrollers to connect to the Internet. It details the chip's specifications, programming options including AT commands, C, Lua, and MicroPython. Examples are provided of using the NodeMCU firmware to program the chip in Lua and control it via WiFi. Resources like forums, SDKs, example code, and this demo are listed to help developers get started with ESP8266 projects.
Scaling IoT: Telemetry, Command & Control, Analytics and the CloudNick Landry
The document discusses the history and future of connectivity and computing from Henry IV's goal of a chicken in every pot to Bill Gates' vision of a computer on every desk. It then discusses how Moore's Law, Metcalf's Law, and Koomey's Law have driven exponential growth in transistors, connectivity, and computational power over time. The rest of the document discusses concepts like the Internet of Things (IoT), how IoT solutions work from initial device and data collection through data analytics and insights. It provides examples of how IoT could be used and concludes with resources for getting started with IoT.
Building Better IoT Applications without ServersIan Massingham
This document discusses using serverless architectures with AWS services like AWS IoT, Lambda, DynamoDB, and S3 to build IoT applications without having to manage servers. It provides examples of how to connect devices to AWS IoT and trigger AWS Lambda functions in response to device events. These functions can then interact with other AWS services like DynamoDB, S3, and external APIs to implement applications like counting item usage from an IoT button and storing the data in DynamoDB, or starting a device when the button is pressed by invoking an external API via Lambda. The document also provides guidance on setting up a Raspberry Pi with sensors for local IoT development and connecting devices to AWS IoT.
Face recognition has countless applications in a lot of different fields from security to marketing. But it usually requires expensive hardware or proprietary software applications. In this session we’re going to describe an open software platform based on Raspberry Pi and OpenCV that covers a subset of this functionality: faces counter. It would be useful when control access to closed spaces such as rooms with a limited capacity is needed. Solution combines cameras, Raspberry Pis, OpenCV, MQTT, embedded Java, and Java SE to cover business needs, privacy constraints, scale out needs, … and much more.
The document discusses the Model-View-ViewModel (MVVM) pattern for app design in iOS. It provides an overview of MVVM, describing the model, view and viewmodel components. It outlines some advantages and disadvantages of MVVM. It also discusses using CocoaPods to add third-party libraries to a project and different ways to implement MVVM, including key-value observing, delegation, reactive programming and property binding. The document includes examples of moving business logic from a view controller to a viewmodel and using binding in a project to synchronize views and viewmodels.
Matteo Valoriani, Antimo Musone - The Future of Factory - Codemotion Rome 2019Codemotion
In the last 3 years Mixed Reality devices and AI technology have opened the door to an infinite number of new disrupting opportunities, but it is not the only revolution underway. Thanks to the combination of new powerful cloud services, AI and local computation capabilities, we can evolve the traditional industrial applications to enter in Industry 4.0 In this session we will showcase and describe the implementation of an industrial application that uses an offline ONNX Model, trained online on cloud service but deployed locally on dedicated AI chip.
CPU Diversity is growing: POWER and RISC-V OpenISA are real option with FPGA, ASIC and Motherboard available next year
Which are Open Hardware Power Architecture real options? Microwatt and LibreSoc have samples of low power Open ISA Power chip. The Power Progress Community released the Prototypes of the Notebook Motherboard based on Power Architecture with Cern Open Hardware License. What happen around OpenPower Foundations with project like PowerPI and LibreBMC.
This document discusses debugging techniques for production environments. It covers using debuggers and symbol files to debug running processes, remote debugging to debug processes on other machines, analyzing core dumps to debug crashed processes postmortem, and snapshot debugging using Application Insights to capture the state of an application during errors. It also introduces the OzCode production debugging platform, which aims to provide a unified experience for debugging applications running in cloud, on-premise, and other complex environments.
Drag and drop widgets to create a customized project dashboard
Sketch files provided to quickly get started with minimal effort
Create widgets for any connected sensor or actuator
Create triggers and threshold alerts for devices, events, and actions
Quick and easy setup - connect supported boards in minutes
Srikanth Pilli has over 6 years of experience in embedded software development. He has expertise in C/C++, Python, Linux kernel driver development, video streaming, and networking. He has worked on projects involving home automation, surveillance systems, and embedded device development. His skills include embedded Linux systems, microcontroller programming, real-time protocols, and tools like Git. He holds an M.Tech in embedded systems and postgraduate diplomas in embedded systems and electronics.
Lab Handson: Power your Creations with Intel Edison!Codemotion
by Francesco Baldassarri - Come along and play with Intel Edison, for the Internet of Things? Learn about the Developer Kit for IoT, chose your preferred environment and test it – or test all the possibilities? We will be providing information and hands on training for developers interested in testing our solutions in C/C++, Javascript, Arduino, Wyliodrin and Python. Just bring you laptop and we will help you to get started. We will also provide information about our Cloud Analytics platform, and test hardware samples with the Grove Starter Kit – Intel IoT Edition. Visit us anytime and start making! What will you make?
Volunteer computing harnesses idle computing resources from personal computers to process large-scale scientific work. BOINC is an open-source middleware system that coordinates volunteer computing projects. This document provides an overview of BOINC, including its applications, architecture, and how individuals can participate in existing BOINC projects or create new ones. Key topics covered include BOINC's security features, how work is distributed to clients and validated, and BOINC's history and adoption over time.
Quick prototyping using Gadgeteer, Raspberry Pi + Fez CreamMif Masterz
This document provides information about .NET Gadgeteer, which is a platform that allows users to rapidly develop electronic projects using modular hardware components without needing an electronics background. It can be programmed using Visual Studio and uses .NET Micro Framework. The document discusses the history and open source nature of Gadgeteer, lists some manufacturer boards and modules that are compatible, and demonstrates some sample projects that can be built with Gadgeteer.
This document summarizes Jeff Haynie's presentation at iPhone/iPad Dev Con 2010. He discusses Appcelerator, which allows developers to build native iOS apps using JavaScript. Key points include that Appcelerator has over 72,000 developers and 4,750 apps in stores. It exposes native iOS capabilities while still requiring use of the iOS SDK. The Titanium platform provides APIs for common tasks like media, networking, and UI and allows both simple and complex animations. It also supports new iOS4 features like backgrounding and local notifications.
Supercharging your Python Development Environment with VS Code and Dev Contai...Dawn Wages
- VS Code settings can be customized at the user and workspace level, and profiles allow settings to be shared. Extensions and shortcuts can improve productivity. Dev Containers provide consistent environments for development and collaboration. Codespaces allow cloud-based development and enable GPU access for free.
This document discusses using Puppet to define infrastructure as code with Apache CloudStack. It describes how Puppet can be used to provision and configure virtual machines on CloudStack as well as define entire application stacks. The author provides examples of using Puppet types and providers to define CloudStack instances and groups of instances that can be deployed with a single Puppet manifest. Links are included to learn more about using Puppet to manage CloudStack infrastructure.
Infrastructure as code with Puppet and Apache CloudStackke4qqq
This document discusses using Puppet to define infrastructure as code with Apache CloudStack. It describes how Puppet can be used to provision and configure virtual machines on CloudStack as well as define entire application stacks. The author provides examples of using Puppet types and providers to define CloudStack instances and groups of instances that can be deployed with a single Puppet manifest. Links are included to learn more about using Puppet to manage CloudStack infrastructure.
eXoer on the grill: eXo Add-ons factory using Docker and CodenvyeXo Platform
Few months ago, Codenvy released a great tutorial about “Creating an eXo Factory Using Codenvy and Docker” http://blog.codenvy.com/creating-codenvy-factory-exo-extensions-development which gave great details about how eXo, Codenvy and Docker can work together to give developers an easy way to code eXo add-ons.
In this presentation we will bring insights about how we used Codenvy’s Factories (with Docker recipes) to give developers a one-click easy way to begin coding eXo Add-ons.
eXoers on the Grill aims to provide some incentive & fresh air for our staff in order to constantly re-think our methods, spread good practices, promote some technology or tools, generate ideas, etc... All the teams are invited to contribute by picking up some hot topics of their choice and spread to other teams.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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.
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.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.