Quantified Self, Smart Grid und Smart Home mit UOMo & JSR 363 | Eclipse DemoCamp Hamburg

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The document discusses Quantified Self, Smart Grid, and Smart Home technologies using UOMo and JSR 363. It includes an agenda with sections on Quantified Self, wearables, demonstrations of heart rate monitoring and sensor data, smart grid sensor networks, the UCUM unit of measurement standard, and smart home demonstrations. Contact and resource details are provided at the end.

Technology

The Quantified UOMo
Quantified Self, Smart
Grid und Smart Home
mit UOMo & JSR 363
Werner Keil
Eclipse DemoCamp Hamburg
25. November 2014

Agenda
• Einleitung
• Quantified Self
• Smart Watch
• Wearables
• Demo
• Smart Grid
• Sensor Web
• UCUM
• Demo
• Smart Home
• Demo
•Q&A

Was bin Ich?
Werner Keil
• Consultant – Coach
• Creative Cosmopolitan
• Open Source Evangelist
• Software Architect
• JCP EC Member
• UOMo Project Lead
• JSR 363 Co Spec Lead
• DevOps Guy …
Email werner@catmedia.us
3 © 2007-2014 Creative Arts & Technologies
Twitter @wernerkeil

Maß für Maß
Gibt sich aus als
Mönch.
… um den Bürgern
hinterher zu
spionieren.
4 © 2007-2014 Creative Arts & Technologies
Images based on poster created for the Oregon Shakespeare Festival © 2011 by Jeff Rauch

M2M | Internet of Things
Beispiele für IoT Nutzungsmöglichkeiten
Transportation & Logistics
5 © 2007-2014 Creative Arts & Technologies | Eclipse Foundation, Inc. Made available under the Eclipse Public License 1.0,
Logistics
Medical &
Healthcare
Industrial &
Energy
Communication
Infrastructure
Security & Surveillance
Internet
of Things

Quantified Self
6 © 2013-2014 Creative Arts & Technologies

Internet
of Things
Communication
Infrastructure
Quantified Self
IoT Nutzungsmöglichkeiten
Smart
Pill
Boxes
Near field
Heartbeat
Sensor
Weight
Scales
Blood
Pressure
Medical
Smart
Services
Gateway
Blood
Sugar
7 © 2007-2014 Creative Arts & Technologies | Eclipse Foundation, Inc. Made available under the Eclipse Public License 1.0,

Quantified Self
Smart Watch, Health und Fitness Apps
8 © 2012-2014 Creative Arts & Technologies Bild: L'Atelier

Quantified Self
Wearables
9 © 2012-2014 Creative Arts & Technologies Image: HDWallpaperImages.com

Quantified Self | Heart of Glass
JavaOne 2013
•A Heart Monitor remotely
accessible from devices
like Google Glass or your
favorite Mobile Browser
• Part of Java Embedded
Challenge at JavaOne
10 © 2013-2014 Creative Arts & Technologies

Quantified Self | Heart of Glass
Verwendete Technologien
•Raspberry Pi | Things API
•RXTX (gnu.io)
• Polar Heart Sensor
• Java EE | HTML 5 (Tomcat/Glassfish)
•Google Glass (bevorzugt) oder andere Mobile
Geräte mit Webbrowser
11 © 2013-2014 Creative Arts & Technologies
| Unit-API

Sensor Web | Was ist das?
“A coordinated observation infrastructure composed of a distributed collection of
resources that can collectively behave as a single, autonomous, task-able,
dynamically adaptive and reconfigurable observing system that provides raw and
processed data, along with associated meta-data, via a set of standards-based
service-oriented interfaces.” (Glenn, 2007)
13 © 2007-2014 Creative Arts & Technologies

Sensor Web | SensorML
• Sensor modeling language is the cornerstone of
all SW services
• It provides comprehensive description of sensor
parameters and capabilities
• It can be used for describing different kind of
sensors:
– Stationary or dynamic
– Remote or in-situ
– Physical measurements or simulations
14 © 2007-2014 Creative Arts & Technologies

Smart Grid | Sensor Web
15 © 2007-2014 Creative Arts & Technologies Bild: Facultad de Informática, Madrid Spain

Smart Grid | Sensor Web
16 © 2007-2014 Creative Arts & Technologies Bilder: Facultad de Informática, Madrid Spain

Smart Grid | UCUM
Unified Code for Units of Measure
The Unified Code for Units of Measure is inspired by
and heavily based on
• ISO 2955-1983
• ANSI X3.50-1986
• HL7's extensions called ISO+
17 © 2007-2014 Creative Arts & Technologies

Smart Grid | Opower
18 © 2007-2014 Creative Arts & Technologies Bilder: Opower

Smart Home | Tür an Tür
20 © 2012-2013 Creative Arts & Technologies Foto: ARD Degeto/NDR/Marc Meyerbroeker

Smart Home | Betreutes Wohnen
21 © 2012-2013 Creative Arts & Technologies

Links
Eclipse – Project UOMo
http://www.eclipse.org/uomo/
Units of Measurement API
http://unitsofmeasurement.github.io
UCUM
http://www.unitsofmeasure.org

Kontakt
werner@catmedia.us
oder
uomo@catmedia.us
Twitter: @wernerkeil
oder
@UnitAPI
Hashtag #EclipseUOMo

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In 1999, NASA lost the $125 million Mars Climate Orbiter as it went into orbital insertion. Due to a mismatch between US customary and SI units of measurements in one of the APIs, the spacecraft came too close to the planet, passed through the upper atmosphere and disintegrated. Sadly, this hasn’t been the only instance where a mismatch between units of measurements had catastrophic consequences, but it’s certainly one of the most spectacular and expensive ones. How could this happen? The bad news: if you use primitive types to handle quantities in your code, due to the same practice at best, you’ve codified the unit in a variable name or database field, e.g. calling it lengthInMetres. Otherwise, you’re only relying on convention, just like Lockheed Martin and NASA did. Join this talk to learn how JSR 385 can help you avoid $125 million mistakes, how it applies the 2019 redefinition of SI base units, and discover the immeasurable world of dimensions, units and quantities.

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Money, Money, Money, can be funny with JSR 354 (DWX 2019)

Werner Keil

Maintenance Leads Werner Keil and Anatole Tresch will present JSR 354 (Money and Currency). They will discuss the API from a developer as well as user perspective and share details on the design decisions behind the JSR. Monetary values are a key feature of many applications, yet the JDK provides little or no support. The existing java.util.Currency class is strictly a structure used for representing current ISO-4217 currencies, but not associated values or custom currencies. The JDK also provides no support for monetary arithmetic or currency conversion, nor for a standard value type to represent a monetary amount. The session will demonstrate how the JSR models monetary capabilities, monetary amounts, currencies, rounding, financial arithmetics as well as formatting and currency conversion in a platform independent and flexible manner. The first part of the talk will focus on key concepts, improvements like Java 9/Jigsaw modularity and planned new features for a future release followed by a live coding session demonstrating the Money JSR in action.

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Jakarta EE NoSQL is a framework and collection of tools that make integration between Java applications and NoSQL quick and easy—for developers as well as vendors. The API is easy to implement, so NoSQL vendors can quickly implement, test, and become compliant by themselves. And with its low learning curve and just a minimal set of artifacts, Java developers can start coding without having to worry about the complexity of specific NoSQL databases instead of their core aspects (such as graph or document properties). Built with functional programming in mind, it leverages all the features of Java 8 and above. This session covers how the API is structured, how it relates to the multiple NoSQL database types, and how you can get started and involved in this open source technology and help the first new Jakarta EE specification evolve.

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In 1999, NASA lost the $125 million Mars Climate Orbiter as it went into orbital insertion. Due to a mismatch between US customary and SI units of measurements in one of the APIs, the spacecraft came too close to the planet, passed through the upper atmosphere and disintegrated. Sadly, this hasn’t been the only instance where a mismatch between units of measurements had catastrophic consequences, but it’s certainly one of the most spectacular and expensive ones. How could this happen? The bad news: if you use primitive types to handle quantities in your code, due to the same practice at best, you’ve codified the unit in a variable name or database field, e.g. calling it lengthInMetres. Otherwise, you’re only relying on convention, just like Lockheed Martin and NASA did. Join this talk to learn how JSR 385 can help you avoid $125 million mistakes, how it applies the 2019 redefinition of SI base units, and discover the immeasurable world of dimensions, units and quantities. Indroductory slides for the Adopt-a-JSR Day by Utrecht JUG

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Werner Keil

Tenkiv developed a new kind of solar power system focused on cost-effectiveness and scalability in need of data acquisition system to collect and analyze data from different sensors throughout the cloud. Because the system may have different energy conversion devices (modules), different number of thermal circuits, collectors, etc. the control software has to be very adaptable to match these varying configurations. Therefore the JVM was an ideal choice. The control software "Nexus Brain" is written in Kotlin. It heavily uses Units of Measurement, so Tenkiv created Physikal, a Kotlin extension to the Java 8 implementation of JSR 363. A project also used by others, for example in collaboration with NASA or ETH Zurich. This session will give a brief overview of how Tenkiv and Nexus Brain use Kotlin and Physikal/JSR 363 to calculate the optimal usage of alternate energy sources and control solar power systems for making clean water anywhere from Flint Michigan to Afghanistan or Cape Town.

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Performance Monitoring tools like Performance Co-Pilot (PCP) existed almost longer than the World Wide Web. It was developed in the early 90s by SGI. Parts were made available open source from 2000 on, which led to a further spread of the tool. In recent years an active community formed and a variety of new features and enhancements were added. PCP is now part of Red Hat and SuSE Linux Enterprise editions and included in many other Linux distributions. Versions for other Unix variants, OS X and Windows also exist. This session compares popular Open Source Monitoring Tools like Performance Co-Pilot, StatsD, Dropwizard Metrics, Prometeus, MicroProfile Metrics or StatsD. How they each support Containers or Virtualization, share data with IT monitoring systems like Nagios or Zabbix, or process analyze and visualize it via Carbon, Graphite or Grafana/ElasticSerch.

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When we deploy existing applications to the cloud or build new applications for it, how do the applications change? How does the boundary of an application change? How does this change affect the security parameters? What are the security characteristics that need to be accounted for? This talk explores these and the following questions: • What are the top security concerns when building for the cloud? • How do we evolve the security JSR (375) in Java EE 8 for the cloud? • What are the key security areas for the next-generation Java EE platform that can ease a developer’s path for cloud deployments?

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Das Wachstum an Mobiltelefonen, Tablets und ähnlichen Geräten, die den Markt geradezu überschwemmen erleben wir Tag für Tag. Die Spezifikation jedes Einzelnen genau zu verfolgen ist ein Knochenjob. Diese Mühe kann reduziert werden, wenn zur Verbesserung dasDevice Description Repository – kurz DDR - beigesteuert wird und Anwender dieses selbst verwaltet können. Apache DeviceMap entstand als Kooperation von OpenDDR und anderen, um ein umfassendes Open Source Daten-Repository mit Geräteinformationen, Bilder und andere relevante Informationen für alle Arten von mobilen Geräten zu schaffen, Smartphones, Tablets, Smart-TV, u.dgl. Das Projekt begann im Januar 2012, im Herbst 2012 wurden DDR APis für Java und .NET von OpenDDR beigesteuert. Im Herbst 2014 verließ DeviceMap erfolgreich den Apache Incubator. Die nächsten Schritte umfassen verbesserte Erkennung von Informationen im UserAgent String. Java Portlet 3.0 Integration via Apache Pluto. Sowie Crowd-Sourcing der Device Repository Daten und eine Speicher-Struktur, die langfristige Erhaltung und Pflege dieser Daten durch die Apache Gemeinde erlaubt.

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Come to meet JSR 363 - Units of Measurement! It's the first JSR targeted to help you work with IoT devices, tackling sensors and measurements in a standard way. We all know that when representing a temperature, for example, we normally have it as a float. But, is this float in Celsius? Fahrenheit? Kelvin? This is one of the problems this JSR wants to solve: have all "real world" value and unit data represented in a standard way. This JSR is also very suitable for scientific applications, where data representation, conversion and formatting is very important. In this presentation, we'll see how both developers and platform providers can leverage this JSR, coding for a smart home or smart gas pump that reports its values in a standard way. As well as other use cases and actual embedded devices like Raspberry Pi or Intel Edison. And this JSR is still in the making. Be first hand witness of the JSR 363 Public Draft (due around Nov) and learn how YOU can get involved and help Java grow in the IoT space! We'll explore how JSRs work and how you can get involved in the JCP and work with this and other JSRs.

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Quantified Self, Smart Grid und Smart Home mit UOMo & JSR 363 | Eclipse DemoCamp Hamburg

1. The Quantified UOMo Quantified Self, Smart Grid und Smart Home mit UOMo & JSR 363 Werner Keil Eclipse DemoCamp Hamburg 25. November 2014

2. Agenda • Einleitung • Quantified Self • Smart Watch • Wearables • Demo • Smart Grid • Sensor Web • UCUM • Demo • Smart Home • Demo •Q&A

3. Was bin Ich? Werner Keil • Consultant – Coach • Creative Cosmopolitan • Open Source Evangelist • Software Architect • JCP EC Member • UOMo Project Lead • JSR 363 Co Spec Lead • DevOps Guy … Email werner@catmedia.us 3 © 2007-2014 Creative Arts & Technologies Twitter @wernerkeil

4. Maß für Maß Gibt sich aus als Mönch. … um den Bürgern hinterher zu spionieren. 4 © 2007-2014 Creative Arts & Technologies Images based on poster created for the Oregon Shakespeare Festival © 2011 by Jeff Rauch

5. M2M | Internet of Things Beispiele für IoT Nutzungsmöglichkeiten Transportation & Logistics 5 © 2007-2014 Creative Arts & Technologies | Eclipse Foundation, Inc. Made available under the Eclipse Public License 1.0, Logistics Medical & Healthcare Industrial & Energy Communication Infrastructure Security & Surveillance Internet of Things

7. Internet of Things Communication Infrastructure Quantified Self IoT Nutzungsmöglichkeiten Smart Pill Boxes Near field Heartbeat Sensor Weight Scales Blood Pressure Medical Smart Services Gateway Blood Sugar 7 © 2007-2014 Creative Arts & Technologies | Eclipse Foundation, Inc. Made available under the Eclipse Public License 1.0,

10. Quantified Self | Heart of Glass JavaOne 2013 •A Heart Monitor remotely accessible from devices like Google Glass or your favorite Mobile Browser • Part of Java Embedded Challenge at JavaOne 10 © 2013-2014 Creative Arts & Technologies

11. Quantified Self | Heart of Glass Verwendete Technologien •Raspberry Pi | Things API •RXTX (gnu.io) • Polar Heart Sensor • Java EE | HTML 5 (Tomcat/Glassfish) •Google Glass (bevorzugt) oder andere Mobile Geräte mit Webbrowser 11 © 2013-2014 Creative Arts & Technologies | Unit-API

12. Quantified Self DEMO

13. Sensor Web | Was ist das? “A coordinated observation infrastructure composed of a distributed collection of resources that can collectively behave as a single, autonomous, task-able, dynamically adaptive and reconfigurable observing system that provides raw and processed data, along with associated meta-data, via a set of standards-based service-oriented interfaces.” (Glenn, 2007) 13 © 2007-2014 Creative Arts & Technologies

14. Sensor Web | SensorML • Sensor modeling language is the cornerstone of all SW services • It provides comprehensive description of sensor parameters and capabilities • It can be used for describing different kind of sensors: – Stationary or dynamic – Remote or in-situ – Physical measurements or simulations 14 © 2007-2014 Creative Arts & Technologies

17. Smart Grid | UCUM Unified Code for Units of Measure The Unified Code for Units of Measure is inspired by and heavily based on • ISO 2955-1983 • ANSI X3.50-1986 • HL7's extensions called ISO+ 17 © 2007-2014 Creative Arts & Technologies

19. Smart Grid DEMO

22. Smart Home DEMO

23. Q & A

24. Links Eclipse – Project UOMo http://www.eclipse.org/uomo/ Units of Measurement API http://unitsofmeasurement.github.io UCUM http://www.unitsofmeasure.org

25. Kontakt werner@catmedia.us oder uomo@catmedia.us Twitter: @wernerkeil oder @UnitAPI Hashtag #EclipseUOMo

Editor's Notes

4 product types give a different (incomplete) view on the reality Aggregation to comparable products is required. GG: I think it is important to maintain them because they point out also difference between forecast and multiyear model [Niels: difficult RESMON slide removed]
4 product types give a different (incomplete) view on the reality Aggregation to comparable products is required. GG: I think it is important to maintain them because they point out also difference between forecast and multiyear model [Niels: difficult RESMON slide removed]
4 product types give a different (incomplete) view on the reality Aggregation to comparable products is required. GG: I think it is important to maintain them because they point out also difference between forecast and multiyear model [Niels: difficult RESMON slide removed]

Quantified Self, Smart Grid und Smart Home mit UOMo & JSR 363 | Eclipse DemoCamp Hamburg

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Editor's Notes