SandBox

Intel® IQ Software Kits

Intel announced a new software platform created specifically for the Intel Curie module, which includes all of the hardware, firmware, software and application SDK needed to enable a variety of device experiences. Intel IQ Software Kits will support future versions of this platform.

ToDo

David, Especificar si algo que se va a instalar se usara, o de lo contrario, solo se hace para propositos de demostracion David enviara pasos http://rwx.io/blog/2015/02/18/seting-up-an-edison/

http://www.turtlebot.com/

Beacons

ToDo

Wget Pywapi, Updated Wget but still getting an error on uclib, AlexT with an answer

    root@galileo:~# opkg install --force-overwrite uclibc
    root@galileo:~# opkg install --force-overwrite uclibc
    Installing uclibc (0.9.33+git0+946799cd0ce0c6c803c9cb173a84f4d607bde350-r8.4) on root.
    Downloading http://repo.opkg.net/galileo/repo/i586/uclibc_0.9.33+git0+946799cd0ce0c6c803c9cb173a84f4d607bde350-r8.4_i586.ipk.
    Configuring uclibc.
    root@galileo:~# opkg upgrade wget
    Installing wget (1.14-r16.0) on root.
    Downloading http://repo.opkg.net/galileo/repo/i586/wget_1.14-r16.0_i586.ipk.
    Multiple replacers for update-alternatives-cworth, using first one (update-alternatives-opkg).
    Multiple replacers for update-alternatives-cworth, using first one (update-alternatives-opkg).
    Configuring wget.
    update-alternatives: Linking //usr/bin/wget to /usr/bin/wget.wget

`

Subsystems

Challenges

Somethin on 101 which I do not remember
http://www.samontab.com/web/2013/01/how-to-make-hd-screencasts-using-free-tools/
Implement SMS
Linux Embedeed Bluetooth PyBluez

Workshop Summary Spanish

Introduccion

El Internet de las Cosas es una realidad, se parte de la próxima revolución en interconexión de objetos cotidianos al Internet. A través de este taller aprenderás los componentes básicos en la construcción de soluciones en Internet de la Cosas, manejaras las herramientas, tecnología y el saber hacer desde un punto de vista de Ingeniería. El lenguaje de programación de Python es usado en todas las lecciones del taller, esto nos permitirá enfocarnos en la soluciones y no en las prácticas de programación.

Audiencia

Profesionales interesados en aprender sobre el Internet de la Cosas usando Plataformas de Hardware Intel Galileo e Intel Edison.

Prerequisitos

Experiencia con Linux
Conocimientos de Programación

Duración

6 horas

Sandbox

Trusted Platform Module

https://en.wikipedia.org/wiki/Trusted_Platform_Module
https://www.npmjs.com/package/edison
Gather
Enrich
Stream

Please follow for both Intel® Edison and Intel® Galileo

Review Technical Specifications
Get familiar with Yocto & Ubilinux Installations
Choose a programming language, learn from online resources and code

Key Phrases

Temporal section :)

Industry Standard Protocols
Open Environments
http://www.hypercat.io/
Wireless IoT Forum
Thread Group
http://iofthings.org/#home

Temboo

Create, make, code the Internet of everything. Another API arbiter is called Temboo. This platform acts as a layer on top of third-party APIs, using code snippets to trigger complex processes that run through their cloud platform. Code snippets are added to your device code, perhaps on an Arduino Yun, and present a common methodology of function calls across a broad range of APIs. Code snippets are same format between different APIs. Temboo also tries to shield developers from having to maintain APIs on each device. If you know how to use Temboo for one application, you know how to use it for all.

Project EON

An open-source chart and map framework for realtime data

Xively

Xively by LogMeIn offers an award-winning enterprise IoT platform and application solution for enterprises building connected products and services.

Xively Homepage

https://github.com/enableiot/iotkit-samples/blob/master/api/python/iotkit_client.py

http://www.helios.de/heliosapp/edison/index.html#Get_additional_800_MB_disk_space

https://github.com/IntelOpenDesign/MakerNode/wiki/glossary:-resources-for-Galileo-and-Edison https://www-ssl.intel.com/content/www/us/en/internet-of-things/solutions-directory.html?wapkw=iot http://business.iotsolutionsalliance.intel.com/

Python Programming Language

Prerequisites

Command Line Editor

Python Installation

Python is a programming language that lets you work quickly and integrate systems more effectively. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.

Python Homepage

Python Installation
Python Mraa Hello Internet of Things
Python Mraa Version
Python Mraa General Purpose Input Output (GPIO) Direction Output
Python Mraa Inter-Integrated Circuit (I2C)
Python Mraa Analog Input Output (AIO)
Python Mraa Universal Asynchronous Receiver/Transmitter (UART)

Check Python is installed

root@platform:~# python --version

Python Mraa Hello Internet of Things

Create your first Python script, the common "Hello Internet of Things" example

root@platform:~# vi iot.py

#!/usr/bin/python

# Hello Internet of Things
print 'Hello Internet of Things @ Python'

# End of Python Script

root@platform:~# python iot.py

Python Mraa Version

Let's get the version of mraa library we installed

root@platform:~# vi iot.py

#!/usr/bin/python

# Libraries
import mraa

# Mraa Version
print (mraa.getVersion())
print (mraa.getPlatformName())
print (mraa.getPlatformType())

# End of Python Script

root@platform:~# python iot.py

Python Mraa General Purpose Input Output (GPIO) Direction Output

Let's work with General Purpose Input Output, Direction Output

root@platform:~# vi iot.py

#!/usr/bin/python

# Libraries
import mraa
import time

# Mraa GPIO Direction Output
if mraa.getPlatformType() == 1:
    gpioline = mraa.Gpio(13)
if mraa.getPlatformType() == 2:
    gpioline = mraa.Gpio(44)
gpioline.dir(mraa.DIR_OUT)
gpionextvalue = not gpioline.read()
gpioline.write(gpionextvalue)
time.sleep(1)
gpioline.write(not gpionextvalue)

# End of Python Script

root@platform:~# python iot.py

Python Mraa Inter-Integrated Circuit (I2C)

Let's work with Inter-Integrated Circuit protocol

root@platform:~# vi iot.py

#!/usr/bin/python

# Libraries
import mraa

# Mraa I2C
if mraa.getPlatformType() == 1:
    i2cline = mraa.I2c(0)
if mraa.getPlatformType() == 2:
    i2cline = mraa.I2c(1)
i2cline.address(0x6b)
print i2cline.readReg(0x6b, 0x80)

# End of Python Script

root@platform:~# python iot.py

Python Mraa Analog Input Output (AIO)

Let's work with Analog Input Output

root@platform:~# vi iot.py

#!/usr/bin/python

# Libraries
import mraa

# Mraa Aio
aioline = mraa.Aio(0)
aioline.setBit(10)
aioline.read()
print ("%.5f" % aioline.readFloat())
# End of Python Script

root@platform:~# python iot.py

Python Mraa Universal Asynchronous Receiver/Transmitter (UART)

Let's work with Universal Asynchronous Receiver/Transmitter

root@platform:~# vi iot.py

#!/usr/bin/python

# Libraries
import mraa

# Mraa UART
uartdevice = mraa.Uart(0)
print uartdevice.getDevicePath()

# End of Python Script

root@platform:~# python iot.py

For Intel Class

Arquitecture

Temperature Nodes

Will be assigned a Unique ID
Will sense temperature and send data through WiFi/Ethernet via MQTT
- mqtt syntaxis: workshop/station/temperature
Will read temperature data through WiFi/Ethernet via MQTT and will emit a sound depending from the node it is coming and display Unique ID + Temperature data in the LCD / OLED
- mqtt syntaxis: workshop/station/temperature
Will plot its temperature data to Plot.Ly and Intel® IoT Developer Kit Cloud-based Analytics
Can control any of 2 cars via MQTT
- mqtt syntaxis: workshop/station/car/forward
- mqtt syntaxis: workshop/station/car/backward
- mqtt syntaxis: workshop/station/car/left
- mqtt syntaxis: workshop/station/car/right

Car Nodes

There might be 2: there 2 cars available with WiFi or BlueTooth interface
Will drive the car controlled by any Temperature Node
Will emit a sound based on what Temperature Node is requesting access

Hardware

Boards

Intel® Edison
Intel® Galileo

Grove - Starter Kit Plus for Intel® Galileo

Grove - LCD RGB Backlight
Grove - Buzzer
Grove - Temperature Sensor

Xadow Wearable Kit for Intel® Edison

Xadow - OLED
Xadow - Buzzer
Xadow - Barometer BMP 180

Software

Github account
MRAA
UPM
Graphics
- Plot.Ly
- Intel® IoT Developer Kit Cloud-based Analytics
https://secure.hoiio.com

http://www.openmote.com/home.html http://www.datamation.com/mobile-wireless/slideshows/6-open-source-middleware-tools-for-the-internet-of-things.html https://localmotors.com/awest/connected-car-project-internet-of-things/activity/ https://github.com/octoblu/microblu_mqtt http://iot-toolkit.com/

Schenedir Electric

Power Efficiency
Asset Performance
Smart Operations
Mobile Inside, Risk Management

Here's a quiz about Gitbook

Good

Bad

What is Gitbook?

(x)

( )

Gitbook is good

What does Gitbook support?

Gitbook supports table and list based quiz questions using either radio buttons or checkboxes.
Gitbook is not telepathic and does not give you the moon on a stick.

Machine Learning

Machine Learning Solution

Others

Plot.Ly

Plotly is an online analytics and data visualization tool, headquartered in Montreal, Quebec. Plotly provides online graphing, analytics, and stats tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST.

Plot.Ly Getting Started

Go to plot.ly and sign up
From API Settings menu get
- UserName
- API Key
- Streaming API Token

To initialize your credentials within terminal:

    root@board:~# pip install plotly
    root@board:~# python -c "import plotly; plotly.tools.set_credentials_file(username='yourusername', api_key='yourapikey', stream_ids=['yourstreamid'])"

This initialization is placed under ~/.plotly/.credentials, you can modify if required

    root@galileo:~# nano ~/.plotly/.credentials
    {
    "username": "yourusername",
    "stream_ids": [
        "yourstreamid",
        "yourotherstreamid"
    ],
    "api_key": "yourapikey",
    "proxy_username": "",
    "proxy_password": ""
    }

Lab: Plot.Ly

    root@board:~# vi mainplotly.py

#!/usr/bin/python

import time

import plotly.plotly as py
from plotly.graph_objs import Scatter, Layout, Figure

username = 'TheIoTLearningInitiative'
api_key = 'twr0hlw78c'
stream_token = '2v04m1lk1x'

def functionServicesPlotly():

    py.sign_in(username, api_key)

    trace1 = Scatter(
        x=[],
        y=[],
        stream=dict(
            token=stream_token,
            maxpoints=200
        )
    )

    layout = Layout(
        title='Internet of Things 101 Services Plot.Ly'
    )

    fig = Figure(data=[trace1], layout=layout)

    py.plot(fig, filename='Internet of Things 101 Services Plot.Ly', auto_open=$

    i = 0
    stream = py.Stream(stream_token)
    stream.open()

    while True:
        stream_data = i + 1
        stream.write({'x': i, 'y': stream_data})
        i += 1
        time.sleep(0.25)

if __name__ == '__main__':

    functionServicesPlotly()

# End of File

    root@board:~# python mainplotly.py
    ...
    ...

Go to plot.ly and look at the chart

ColumbiaX's DS103x! Enabling Technologies for Data Science and Analytics: The Internet of Things

In this course in the “Data Science and Analytics in Contenxt XSeries”, we discuss an important set of Enabling Technologies for Data Science and Analytics: the Internet of Things, Natural Language Processing and Speech Analysis.
The course starts with an introduction to the Internet of Things (IoT), followed by a description of IoT components at the physical, networking, and cyber levels. Wireless communications fundamentals are introduced, accompanied by critical wireless and higher layer standards which are designed for constrained environments.
We next address ways to interface physical devices to the cyber world, novel methodologies for harvesting energy for low power consumption devices, and design methods for ultra-low power circuits. Examples from robotics and machine learning are presented. We conclude the IoT segment with a presentation on the economics of IoT.
IoT systems are valuable for collection, processing and analysis of data presented to human and cyber users in appropriate forms. We discuss natural language processing methods and applications as examples of higher complexity tasks supported by cyber physical systems which utilize the ecosystem of IoT.
The course concludes by introducing concepts of speech production, perception, interpretation, and analysis, for use in spoken dialogue systems, speech to speech translation, and speech search.

Enabling Technologies for Data Science and Analytics: The Internet of Things

Week 1: Internet of Things Part I

Internet of Things: Introduction 1
Internet of Things: Introduction 2
Wireless Communications 1
Wireless Communications 2: Cellular Mobile Systems
Wireless Communications 3: Comparisons of Wireless Systems
Wireless Standard: WiFi and Bluetooth 1
Wireless Standard: WiFi and Bluetooth 2
Wireless Standard: BLE and Zigbee 1
Wireless Standard: BLE and Zigbee 2
Suggested Readings

Week 2: Internet of Things Part II

Networks for IoT 1
Networks for IoT 2
Securing IoT Networks 1
Securing IoT Networks 2
Networking: IoT - 6LoWPAN
Networking: IoT - CoAP 1
Networking: IoT - CoAP 2
Networking: IoT - MQTT 1
Networking: IoT - MQTT 2
Suggested Readings

Week 3: Internet of Things Part III

Embedded Systems 1
Embedded Systems 2
Interfacing with the Physical World
Energy Harvesting 1
Energy Harvesting 2
Ultra Low Power Computing in VLSI
Hardware for Machine Learning
Application: Cloud Robotics
IoT Economics 1
IoT Economics 2
IoT Economics 3
Suggested Readings

Week 4: Natural Language Processing

At the Intersection of Language and Data Science
NLP: News
NLP: Online Discussion Forums
NLP: News and Online Discussion Forums
NLP: Personal Narrative
NLP: Novels
NLP: Applications
Tagging Problems, and Long-linear Models
Syntax and Parsing
Machine Translation
Suggested Readings
Week 5: Audio, Video and Image Processing
Speech and Data Science: Introduction
Speech Production and Perception
Recording Speech for Analysis
Speech Features
Applications: Recognizing Emotional Speech
Applications: Detecting Deception from Speech and Text
Exploration of Images, Videos, and Multimedia in Large Data Applications
Review of Large-Scale Visual Search and Recognition Techniques
Applications
Open Research
Suggested Readings

Internet of Everything

“the Internet of Everything is the intelligent connection of people, process, data and things” Internet of Everything Explained

Revolution Background

Costs Past 10 Years

Cost of Sensors 2x Decreased
Cost of Bandwidth 40x Decreased
Cost of Processing 60x Decreased

Trends

Cost of Hardware
Hardware Size
Computational Capabilities
Wireless Internet Access

Typical Process Control Systems Basic Control Loop

Sense
Monitor
Analize
Execute
Actuate

Data

Get To Know The Four Types Of Data In The Internet Of Things

Architecture

Versions

IoT 1.0
- Dashboards
- Device Management
- Simple Sensor Connectivity & Monitoring
IoT 2.0
- Mobile
- IoT Middleware
- M2M Enablement
- Streaming
- Big Data Infrastructure
- Predictive Models
- Startup
IoT 3.0
- Cloud
- Physical Models
- Industry Services
- Service Platforms
- Systems of Insight
- Ecosystems & Alliances

Solution

Define a Problem
Identify/Design Solutions
Build Proof of Concept
Scaling up to Prototype
Add Features/Evaluate
Scaling to Production

An introduction to developing IoT Architecture

IoT Technologies

IoT Security
IoT Analytics
IoT Device (Thing) Management
Low-Power, Short-Range IoT Networks
Low-Power, Wide-Area Networks
IoT Processors
IoT Operating Systems
Event Stream Processing
IoT Platforms
IoT Standards and Ecosystems

Gartner Internet of Things

IoT Strategy

Platform
Personnel

Platform Capabilities

Messaging
Connectivity

Important Topics

Orchestration

multiple connected devices aware of each other working together.

"The Physical Web"

Intel Vision

Areas

Mobile Internet of Things
Home Internet of Things
Industrial Internet of Things

IoT Building Blocks

Things
Gateways
Network and Cloud
Services Creation and Solutions Layers

Internet of Things System

Cloud, Data Format
- Big Data Processing, Services
  - Analytics
  - Data Mining
  - Modeling
  - Prediction
  - Application
  - Services
- Data Visualization
- Application Service
Sensor Database
Communications
Gateway
Storage / Control
Protocol
Sensors, Actuators

The Internet of Things Brings:

Scale in every Form
Tools and Technology
Development Community

IBM Vision

Tapping into IoT Value

Connect to and Control Devices
Collect and Manage IoT Data
Understand and Analize
Act and React
Build Applications to Harness the Potentials

Features

Organize and Analize
Acquire
Manage
Stream
Enrich
Gather

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Last updated 6 years ago