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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.
The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg
The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg
Werner Keil
The Quantified Self, the process of measuring, logging and usually sharing metrics related to your health and fitness over a period of time, in most cases, by using one or more sensing devices. Aiming for behavioural change like staying fit or losing weight. Other use cases include tracking blood sugar levels, pulse or heart rate blurring the boundaries between recreational fitness and healthcare. Once data has been collected, transmitted, and processed, it can be brought into a Sensor data platform (also called "Sensor Web") for making applications from real-time data sources, either directly or via API. This forms a new category of web service to integrate data flows from different IOT quantified sensor devices, web services, and social networking activity. The resulting paradigm, named Social Internet of Things (SIoT), has great potential to support novel applications for Human and Machine to Machine (M2M) Connectivity. This session provides an overview of popular data platforms, APIs, fitness and IoT Communities plus a live demo of selected devices by the audience.
Social Media Week 2015 - Quantified Self and the Social Internet of Things
Social Media Week 2015 - Quantified Self and the Social Internet of Things
Werner Keil
M4M or Measure 4 Measure, ever since Shakespeare's play with the same name we know, people can be mistaken for one another. A Duke (like the beloved Java mascot) claims to be a monk, the head of a dead pirate is presented to be that of the young hero. So can important information like Units of Measurement be misinterpreted. While humans reading 10°C, 10 C or 10 Degree Celsius, each of those could be interpreted and understood well enough. For M2M communication, unless a program is provided with a large glossary of alternate terms, only ONE of these would be acceptable. Slides of the JCP EC F2F in January 2014 proposing the idea of a Units of Measurement JSR, recently approved as JSR 363: https://jcp.org/en/jsr/detail?id=363
M2M, Sensor Web, Observations and Measurements
M2M, Sensor Web, Observations and Measurements
Werner Keil
Quantified Self, das Verfahren der Messung, Protokollierung und in der Regel mit anderen geteilte Metriken um Gesundheit und Fitness über einen gewissen Zeitraum, durch Verwendung mindestens eines Sensors. 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. Sobald die Daten gesammelt, übertragen und verarbeitet wurden, stehen sie in einer Sensor-Datenplattform ("Sensor Web") zur Nutzung durch Anwendungen in Echtzeit bereit, entweder direkt in einer Web-Anwendung oder über ein API. Dies bildet eine neue Kategorie von Web-Services die Datenströme aus verschiedenen IoT Sensoren und Messgeräten mit Web-Streams oder Social-Networking-Aktivitäten verbindet. Das daraus resultierende Paradigma, mit dem Namen Social Internet of Things (SIoT), hat ein großes Potenzial, um neue Anwendungen für Mensch und Maschine zu Maschine (M2M) Konnektivität hervorzubringen. Diese Session gibt einen Überblick über populäre Datenplattformen, APIs, Fitness und IoT Gemeinschaften sowie eine Live-Demo ausgewählter Geräte.
Quantified Social und das Internet der Dinge
Quantified Social und das Internet der Dinge
Werner Keil
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?
Java2Days - Security for JavaEE and the Cloud
Java2Days - Security for JavaEE and the Cloud
Werner Keil
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)
JSR 354: Money and Currency API - Short Overview
JSR 354: Money and Currency API - Short Overview
Werner Keil
With IoT it’s all about things and sensors. And when representing a temperature, for example, we normally have it as a float. But is this float in Celsius? Kelvin? This is one of the problems JSR 363 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 are very important. In this session, you’ll see how developers as well as platform providers can leverage this JSR, coding a smart gas pump that reports its values by using Java standards. Come to meet JSR 363, Units of Measurement.
Eclipse Science F2F 2016 - JSR 363
Eclipse Science F2F 2016 - JSR 363
Werner Keil
Der maßvolle Weg ins Internet der Dinge sehr frei nach William Shakespeare
Bitte ein Maß - M2M und IoT auf PKN 029@Medienmittwoch in Frankfurt
Bitte ein Maß - M2M und IoT auf PKN 029@Medienmittwoch in Frankfurt
Werner Keil
Recomendados
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.
The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg
The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg
Werner Keil
The Quantified Self, the process of measuring, logging and usually sharing metrics related to your health and fitness over a period of time, in most cases, by using one or more sensing devices. Aiming for behavioural change like staying fit or losing weight. Other use cases include tracking blood sugar levels, pulse or heart rate blurring the boundaries between recreational fitness and healthcare. Once data has been collected, transmitted, and processed, it can be brought into a Sensor data platform (also called "Sensor Web") for making applications from real-time data sources, either directly or via API. This forms a new category of web service to integrate data flows from different IOT quantified sensor devices, web services, and social networking activity. The resulting paradigm, named Social Internet of Things (SIoT), has great potential to support novel applications for Human and Machine to Machine (M2M) Connectivity. This session provides an overview of popular data platforms, APIs, fitness and IoT Communities plus a live demo of selected devices by the audience.
Social Media Week 2015 - Quantified Self and the Social Internet of Things
Social Media Week 2015 - Quantified Self and the Social Internet of Things
Werner Keil
M4M or Measure 4 Measure, ever since Shakespeare's play with the same name we know, people can be mistaken for one another. A Duke (like the beloved Java mascot) claims to be a monk, the head of a dead pirate is presented to be that of the young hero. So can important information like Units of Measurement be misinterpreted. While humans reading 10°C, 10 C or 10 Degree Celsius, each of those could be interpreted and understood well enough. For M2M communication, unless a program is provided with a large glossary of alternate terms, only ONE of these would be acceptable. Slides of the JCP EC F2F in January 2014 proposing the idea of a Units of Measurement JSR, recently approved as JSR 363: https://jcp.org/en/jsr/detail?id=363
M2M, Sensor Web, Observations and Measurements
M2M, Sensor Web, Observations and Measurements
Werner Keil
Quantified Self, das Verfahren der Messung, Protokollierung und in der Regel mit anderen geteilte Metriken um Gesundheit und Fitness über einen gewissen Zeitraum, durch Verwendung mindestens eines Sensors. 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. Sobald die Daten gesammelt, übertragen und verarbeitet wurden, stehen sie in einer Sensor-Datenplattform ("Sensor Web") zur Nutzung durch Anwendungen in Echtzeit bereit, entweder direkt in einer Web-Anwendung oder über ein API. Dies bildet eine neue Kategorie von Web-Services die Datenströme aus verschiedenen IoT Sensoren und Messgeräten mit Web-Streams oder Social-Networking-Aktivitäten verbindet. Das daraus resultierende Paradigma, mit dem Namen Social Internet of Things (SIoT), hat ein großes Potenzial, um neue Anwendungen für Mensch und Maschine zu Maschine (M2M) Konnektivität hervorzubringen. Diese Session gibt einen Überblick über populäre Datenplattformen, APIs, Fitness und IoT Gemeinschaften sowie eine Live-Demo ausgewählter Geräte.
Quantified Social und das Internet der Dinge
Quantified Social und das Internet der Dinge
Werner Keil
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?
Java2Days - Security for JavaEE and the Cloud
Java2Days - Security for JavaEE and the Cloud
Werner Keil
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)
JSR 354: Money and Currency API - Short Overview
JSR 354: Money and Currency API - Short Overview
Werner Keil
With IoT it’s all about things and sensors. And when representing a temperature, for example, we normally have it as a float. But is this float in Celsius? Kelvin? This is one of the problems JSR 363 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 are very important. In this session, you’ll see how developers as well as platform providers can leverage this JSR, coding a smart gas pump that reports its values by using Java standards. Come to meet JSR 363, Units of Measurement.
Eclipse Science F2F 2016 - JSR 363
Eclipse Science F2F 2016 - JSR 363
Werner Keil
Der maßvolle Weg ins Internet der Dinge sehr frei nach William Shakespeare
Bitte ein Maß - M2M und IoT auf PKN 029@Medienmittwoch in Frankfurt
Bitte ein Maß - M2M und IoT auf PKN 029@Medienmittwoch in Frankfurt
Werner Keil
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