Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

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This session will give you 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 used for making clean water anywhere from Flint Michigan to Afghanistan.

Technologie

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
Who am I?
Werner Keil
• Consultant – Coach
• Creative Cosmopolitan
• Open Source Evangelist
• Software Architect
• Spec Lead – JSR363
• Individual JCP Executive Committee Member
[www.linkedin.com/in/catmedia]
Twitter @wernerkeil

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
Save Water

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
Water Crisis

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
The Globe
2.5 billion people across the globe
lack access to clean water.

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
Developing Nations
In places like Afghanistan,
lack of access to water sanitation leads to a
1 in 5 child mortality rate.

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
California
98% of California is experiencing
severe drought, placing major stress
on our water infrastructure.

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
What is Tenkiv Nexus?
The Tenkiv Nexus is a fully modular renewable energy system. It uses heat
from the sun in order to power anything for 1/13th the cost of existing solar
panels and 1/5th the cost of fossil fuels without any subsidies. It’s the
breakthrough the world’s been waiting for that finally enables us to truly
utilize the most abundant source of power available on earth: the sun.
Tenkiv started deployment of the Tenkiv Nexus for water purification, but
over time will replace more and more of the world's dying energy
infrastructure with this new, more powerful, cost-effective, and completely
clean energy nexus.

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
Tenkiv Nexus

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
What is JSR-363?
5,999 miles
A Quantity
A Unit
Brussels
São Paulo

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
Why do we need JSR-363?
There are no specifications or standards for handling units in Java.
The current solution is to use primitives, that don’t provide any Type
Safety.
The errors are difficult to find using unit testing:
Interface and Internationalization (e.g. radian/degree, meters/feet);
Arithmetic operations (e.g. overflow);
Conversion between units (e.g. from same domain);

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
5,999 miles
A Quantity
A Unit
What is the problem, in code?
int distance = 5999; //in miles
float speed = airplane.getSpeed(); //in km/h
System.out.println(“ETA: “ + (distance/speed) + “ h”);

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
What is JSR-363, in code?
Quantity<Length> distance = Quantities.getQuantity(5999,
US.MILE);
Quantity<Speed> airplaneSpeed = getAirplaneSpeed();
Quantity<Time> eta =
(Quantity<Time>)distance.divide(airplaneSpeed);
System.out.println(“ETA: “ + eta.to(Units.HOUR));
ETA: 10.216345960256564 h

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
What is Physikal?
Library providing Kotlin extensions and ease of use functions for Java
Units of Measurement libraries based on JSR-363.
Contains
• Core - Basic Metric units.
• SI-Units - SI units.
• Complete-Units - All units including US or Imperial.

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
What is Physikal, in code?
Create Units
val added = 10.metre + 1.kilo.metre
>> 1010.0 m
val small = 10.metre
val large = 10.kilo.metre

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
What is Physikal, in more code?
Includes all operators
val added = 10.metre + 1.kilo.metre
>> 1010.0 m
val speed = added/10.minute
>> 101 m/min
var aFewSeconds = 5.second
aFewSeconds++
>> 6.0 s
10.peta.watt > 2.watt
>> true

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
What is Physikal, in more code?
Using different units (SI units & other units)
5.gram + 2.pound
>> 912.18474 g
(13.kilo.gram + 20.pound) convertTo STONE
>> 3.47572100600243466674378 st

© 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI
Links
Public JSR-363 mailing list(s) and/or forum(s)
Units-Dev on Google Groups
Units-Users on Google Groups
JSR-363 page: https://jcp.org/en/jsr/detail?id=363…
Project Website: http://unitsofmeasurement.github.io on GitHub
Tenkiv: https://tenkiv.com
Physikal: https://github.com/Tenkiv/Physikal

@YourTwitterHandle#DVXFR14{session hashtag} © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI

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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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JNoSQL 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 by worrying not about the complexity of specific NoSQL databases but only their core aspects (such as graph or document properties). Built with functional programming in mind, it leverages all the features of Java 8. 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.

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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.

Performance Monitoring for the Cloud - Java2Days 2017

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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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JavaMoney is the new monetary API for the Java™ Platform as well as related projects and libraries. Whereas the API (JSR 354) provides a portable and extendible API for handling of Money & Currency models, Moneta provides a production ready reference implementation. The JavaMoney libraries add additional functionalities that were built on top of the API such as - Basic financial operations - Rounding - Currency conversion - Extended formatting (usable for arbitrary types)

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Quantified Self ist die Messung, Protokollierung und in der Regel das Teilen von Gesundheits- und Fitnessdaten mit anderen über einen gewissen Zeitraum durch Verwendung von Sensoren - zur Förderung eines gesünderen Lebensstils, um fit zu bleiben oder Gewicht zu verlieren. Andere Anwendungsfälle sind Messung von Blutzuckerspiegel, Puls oder Herzfrequenz - die Grenzen zwischen Freizeit/Fitness und Gesundheitswesen sind hier oft fließend. Diese Session bietet einen Überblick zu populären Fitness-Geräten, APIs, Fitness- und IoT-Portalen. Deren Anbindung durch Agorava, das Social Framework auf Basis von CDI, JAX-RS, JSON und OAuth. Dank paralleler Unterstützung mehrerer APIs ermöglicht Agorava nicht nur, Freunde bei Fitbit, Strava, Twitter oder Facebook über die Leistungen zu informieren, sondern auch etwa bei Foursquare auf der Strecke einzuchecken.

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After Seam stopped at version 3, affecting related modules like Seam Social, a number of people started to work on Agorava, a "reference implementation" for Social Network integration in Java. In this session, you will see examples from a number of frameworks that help developers to integrate their projects with existing Social Networks, both Public (Facebook, Twitter, Google+, LinkedIn, Xing, Yammer,...) and Corporate, e.g. within the Enterprise or Institution (University, Hospital, Library, Museum or individual Artists...) It also aims to assist Java Enterprise technologies and frameworks by adding social media features to web sites or services developed using Java or running on a JVM. Agorava is intended to be part of JDF 2.next alongside full DeltaSpike support or PicketLink SSO and more, e.g. JSR 330, allowing Agorava to also run on Android or Java SE.

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JSR 375: Java EE Security API works on the following enhancements: standardize user management, syntax for indicating passwords stored in secure repositories with password aliasing, and definition and standardization of a 'role service' API with role mapping. There’s also scope for a new CDI interceptor annotation to perform application-domain rules at the method level or enhancements to authentication. Where feasible synergies with prior JSR 351 (Identity) shall also be explored. In this session we’ll present the current status of this JSR and what's going on in the JSR 375 Expert Group.

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

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Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

3. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI Who am I? Werner Keil • Consultant – Coach • Creative Cosmopolitan • Open Source Evangelist • Software Architect • Spec Lead – JSR363 • Individual JCP Executive Committee Member [www.linkedin.com/in/catmedia] Twitter @wernerkeil

7. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI Developing Nations In places like Afghanistan, lack of access to water sanitation leads to a 1 in 5 child mortality rate.

9. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI What is Tenkiv Nexus? The Tenkiv Nexus is a fully modular renewable energy system. It uses heat from the sun in order to power anything for 1/13th the cost of existing solar panels and 1/5th the cost of fossil fuels without any subsidies. It’s the breakthrough the world’s been waiting for that finally enables us to truly utilize the most abundant source of power available on earth: the sun. Tenkiv started deployment of the Tenkiv Nexus for water purification, but over time will replace more and more of the world's dying energy infrastructure with this new, more powerful, cost-effective, and completely clean energy nexus.

12. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI Why do we need JSR-363? There are no specifications or standards for handling units in Java. The current solution is to use primitives, that don’t provide any Type Safety. The errors are difficult to find using unit testing: Interface and Internationalization (e.g. radian/degree, meters/feet); Arithmetic operations (e.g. overflow); Conversion between units (e.g. from same domain);

13. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI 5,999 miles A Quantity A Unit What is the problem, in code? int distance = 5999; //in miles float speed = airplane.getSpeed(); //in km/h System.out.println(“ETA: “ + (distance/speed) + “ h”);

14. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI What is JSR-363, in code? Quantity<Length> distance = Quantities.getQuantity(5999, US.MILE); Quantity<Speed> airplaneSpeed = getAirplaneSpeed(); Quantity<Time> eta = (Quantity<Time>)distance.divide(airplaneSpeed); System.out.println(“ETA: “ + eta.to(Units.HOUR)); ETA: 10.216345960256564 h

15. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI What is Physikal? Library providing Kotlin extensions and ease of use functions for Java Units of Measurement libraries based on JSR-363. Contains • Core - Basic Metric units. • SI-Units - SI units. • Complete-Units - All units including US or Imperial.

16. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI What is Physikal, in code? Create Units val added = 10.metre + 1.kilo.metre >> 1010.0 m val small = 10.metre val large = 10.kilo.metre

17. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI What is Physikal, in more code? Includes all operators val added = 10.metre + 1.kilo.metre >> 1010.0 m val speed = added/10.minute >> 101 m/min var aFewSeconds = 5.second aFewSeconds++ >> 6.0 s 10.peta.watt > 2.watt >> true

18. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI What is Physikal, in more code? Using different units (SI units & other units) 5.gram + 2.pound >> 912.18474 g (13.kilo.gram + 20.pound) convertTo STONE >> 3.47572100600243466674378 st

19. © 2017 Creative Arts & Technologies and others. All rights reserved.#Physikal @UnitAPI Links Public JSR-363 mailing list(s) and/or forum(s) Units-Dev on Google Groups Units-Users on Google Groups JSR-363 page: https://jcp.org/en/jsr/detail?id=363… Project Website: http://unitsofmeasurement.github.io on GitHub Tenkiv: https://tenkiv.com Physikal: https://github.com/Tenkiv/Physikal

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