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.
This is where the Unified Code for Units of Measurement (UCUM) among similar approaches like UnitsML, SensorML or a few others are vital for error-free M2M transactions, not just between sensors or measurement devices, but also and especially vehicles or distributed devices.
OSGi Measurement has been around for some time (R3) but never gained as much momentum, as many other bundles of OSGi did. Except for very few use cases in the Embedded or Automotive sector it is practically unused and based on statements by its contributors in the OSGi Alliance to be considered legacy with no plans continue development.
After a brief overview of common M2M errors from Gimli to Mars, This session provides an overview of OSGi Measurement, Eclipse OUMo, what they have in common and where the differences lie. Although most of today's OSGi containers are capable of dealing with units or measurement better and more reliable with UOMo, both can where necessary also exchange information and collaborate. E.g. if legacy devices and code cannot be easily replaced. For this We'll take a look at interoperability between different systems or with other unit technologies and languages like F#, Fantom, Python or Lua.
M4M 2 the Rescue of M2M (Eclipse DemoCamp Trondheim)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.
This is where the Unified Code for Units of Measurement (UCUM) among similar approaches like UnitsML, SensorML or a few others are vital for error-free M2M transactions, not just between sensors or measurement devices, but also and especially vehicles or distributed devices.
OSGi Measurement has been around for some time (R3) but never gained as much momentum, as many other bundles of OSGi did. Except for very few use cases in the Embedded or Automotive sector it is practically unused and based on statements by its contributors in the OSGi Alliance to be considered legacy with no plans continue development.
After a brief overview of common M2M errors from Gimli to Mars, This session provides an overview of OSGi Measurement, Eclipse OUMo, what they have in common and where the differences lie. Although most of today's OSGi containers are capable of dealing with units or measurement better and more reliable with UOMo, both can where necessary also exchange information and collaborate. E.g. if legacy devices and code cannot be easily replaced. For this We'll take a look at interoperability between different systems or with other unit technologies and languages like F#, Fantom, Python or Lua.
Standards for the Future of Java Embedded (16:9)Werner Keil
This document discusses standards for the future of Java embedded and summarizes a presentation on the topic. It covers sensors, historic IT errors caused by issues with units of measurement, the Sensor Web and related standards, and JavaCard. SensorML is described as the cornerstone for describing sensors in the Sensor Web. An example SensorML snippet is also provided.
Standards for the Future of Java EmbeddedWerner Keil
The document discusses standards for Java in embedded systems. It covers sensors, machine-to-machine communication, near field communication, security, and questions from the audience. The speaker is introduced as a consultant and open source evangelist who leads several projects related to units of measurement in Java. Examples are given of disasters caused by unit conversion errors, and several past efforts to standardize units of measurement in Java are summarized.
After an looking back at the history of Eclipse OHF and its parts, we're going to learn what happened to them and why.
Beside those going a different path, mainly Open Health Tools (OHT) we take a closer look at the Legacy of OHF at Eclipse, mainly The Spatiotemporal Epidemiological Modeler (STEM) and Units of Measurement support from UOMo and related standards like the Unified Code for Units of Measure (UCUM)
geecon 2013 - Standards for the Future of Java EmbeddedWerner Keil
This session highlights how Java Embedded can play a role in the Internet of Things and Distributed Sensor Web as well as related technologies like Smart Home or Automotive. We demonstrate how existing Java standards like JSR 256 (Mobile Sensor API) can be modernized and improved towards a new generation of Java Embedded and Mobile. Taking technologies like the IEEE 1451 "Smart Sensor" standard into consideration, as well as OGC standards like SensorML or The Unified Code for Units of Measurement (UCUM) allowing type and context safe data transfer using various formats and protocols, whether it is XML, JSON or specific M2M protocols like MQTT as well as new JSRs like 360 (CLDC 8) and 361 (Java ME Embedded)
Groovy founder Guillaume Laforge built on top of the Java standard proposal for type safe Units of Measurements, JSR-275 with his case study of a Domain-Specific Language for unit manipulations some while ago.
Based on Unit-API the successor to JSR-275, and its leading Open Source implementation Eclipse UOMo together with Xtext/TS we'll see, how a similar DSL for unit manipulations could be created with Xtext. As well as other languages including Groovy or Scala.
Quantified Social und das Internet der DingeWerner 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.
M4M 2 the Rescue of M2M (Eclipse DemoCamp Trondheim)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.
This is where the Unified Code for Units of Measurement (UCUM) among similar approaches like UnitsML, SensorML or a few others are vital for error-free M2M transactions, not just between sensors or measurement devices, but also and especially vehicles or distributed devices.
OSGi Measurement has been around for some time (R3) but never gained as much momentum, as many other bundles of OSGi did. Except for very few use cases in the Embedded or Automotive sector it is practically unused and based on statements by its contributors in the OSGi Alliance to be considered legacy with no plans continue development.
After a brief overview of common M2M errors from Gimli to Mars, This session provides an overview of OSGi Measurement, Eclipse OUMo, what they have in common and where the differences lie. Although most of today's OSGi containers are capable of dealing with units or measurement better and more reliable with UOMo, both can where necessary also exchange information and collaborate. E.g. if legacy devices and code cannot be easily replaced. For this We'll take a look at interoperability between different systems or with other unit technologies and languages like F#, Fantom, Python or Lua.
Standards for the Future of Java Embedded (16:9)Werner Keil
This document discusses standards for the future of Java embedded and summarizes a presentation on the topic. It covers sensors, historic IT errors caused by issues with units of measurement, the Sensor Web and related standards, and JavaCard. SensorML is described as the cornerstone for describing sensors in the Sensor Web. An example SensorML snippet is also provided.
Standards for the Future of Java EmbeddedWerner Keil
The document discusses standards for Java in embedded systems. It covers sensors, machine-to-machine communication, near field communication, security, and questions from the audience. The speaker is introduced as a consultant and open source evangelist who leads several projects related to units of measurement in Java. Examples are given of disasters caused by unit conversion errors, and several past efforts to standardize units of measurement in Java are summarized.
After an looking back at the history of Eclipse OHF and its parts, we're going to learn what happened to them and why.
Beside those going a different path, mainly Open Health Tools (OHT) we take a closer look at the Legacy of OHF at Eclipse, mainly The Spatiotemporal Epidemiological Modeler (STEM) and Units of Measurement support from UOMo and related standards like the Unified Code for Units of Measure (UCUM)
geecon 2013 - Standards for the Future of Java EmbeddedWerner Keil
This session highlights how Java Embedded can play a role in the Internet of Things and Distributed Sensor Web as well as related technologies like Smart Home or Automotive. We demonstrate how existing Java standards like JSR 256 (Mobile Sensor API) can be modernized and improved towards a new generation of Java Embedded and Mobile. Taking technologies like the IEEE 1451 "Smart Sensor" standard into consideration, as well as OGC standards like SensorML or The Unified Code for Units of Measurement (UCUM) allowing type and context safe data transfer using various formats and protocols, whether it is XML, JSON or specific M2M protocols like MQTT as well as new JSRs like 360 (CLDC 8) and 361 (Java ME Embedded)
Groovy founder Guillaume Laforge built on top of the Java standard proposal for type safe Units of Measurements, JSR-275 with his case study of a Domain-Specific Language for unit manipulations some while ago.
Based on Unit-API the successor to JSR-275, and its leading Open Source implementation Eclipse UOMo together with Xtext/TS we'll see, how a similar DSL for unit manipulations could be created with Xtext. As well as other languages including Groovy or Scala.
Quantified Social und das Internet der DingeWerner 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.
Social Media Week 2015 - Quantified Self and the Social Internet of ThingsWerner 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.
M4M 2 the Rescue of M2M - Eclipse DemoCamps Fall 2013Werner 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.
This is where the Unified Code for Units of Measurement (UCUM) among similar approaches like UnitsML, SensorML or a few others are vital for error-free M2M transactions, not just between sensors or measurement devices, but also and especially vehicles or distributed devices.
OSGi Measurement has been around for some time (R3) but never gained as much momentum, as many other bundles of OSGi did. Except for very few use cases in the Embedded or Automotive sector it is practically unused and based on statements by its contributors in the OSGi Alliance to be considered legacy with no plans continue development.
JSR 363 - The Answer to Life Science and the Internet of EverythingWerner Keil
Developers who work with quantities (sensor reading from edge devices, scientific, engineering, medical, or manufacturing) need to handle measurements of these quantities in their programs. Inadequate models of physical measurements can lead to programmatic errors. In particular when modelling a measurement as a simple number with no regard to the units it represents creates fragile code. Another developer or part of the system can misinterpret the number as a different unit. For example, it may be unclear whether a person's mass is expressed in pounds, kilograms, or stones. A human reading „10°C“, „10 C“ or simply „10 Degrees“ may interpret each of those correctly. For M2M communication, unless a program contains a „Babel Fish“, such ambiguity would not be acceptable.
Don’t Panic: After programming languages like Ada, C++, Eiffel or F# added type-safe Unit support already, JSR 363, Units of Measurement API will add similar support to the Java Platform, making it competitive for M2M in the Internet of Things with strong emphasis on sensors.
This session provides an overview of popular use cases for the Units of Measurement JSR and implementations on both Java ME 8 Embedded (CLDC 8) and Java SE 8. A Hitchhiker’s guide across places where this JSR helps improve data quality or save lives by ensuring e.g. a patient receives the correct dosage of medicine or smart homes and similar energy saving measures prevents Earth from being destroyed by Global Warming (rather than waiting for a Vogon express route ;-)
UVS Subsea Technology is an Australian company that provides underwater technology services including engineering, component development, and product development. They have a nationwide footprint in Australia and work in diverse markets such as offshore oil and gas, defense, oceanography, and utilities. Some of their projects include developing autonomous underwater vehicles, submarine camera surveillance systems, and trenchers for offshore wind farms. The company focuses on innovation through R&D investment, engineering execution, and collaborating with startups and entrepreneurs.
This document discusses challenges for the next generation of interactive media using computer vision sensors. It presents three prototypes developed by the author: 1) AquaTop Display, an interactive water surface that uses water-specific gestures for input; 2) BallCam, a camera inside a ball that stabilizes spinning video to provide ball's point of view footage of sports; 3) Unaware Gaze Navigation, which guides users' gaze with subtle blurring without noticing. The author concludes that rapid prototyping and advanced implementation are needed to develop novel ideas into unique products for vision-based human-computer interaction.
B Kindilien-Does Manufacturing Have a Future?jgIpotiwon
Presentation to students and educators at Eastern Connecticut State University in 2008 on the challenges, and opportunities, facing people in manufacturing.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-guttmann
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Moses Guttmann, CTO and founder of Allegro, presents the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit.
Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due to their speed when operating on inputs with small spatial dimensions.
The key challenge in creating efficient embedded implementations of SSD is not in the feature extraction module, but rather is due to the non-linear bottleneck in the detection stage, which does not lend itself to parallelization. This hinders the ability to lower the processing time per frame, even with custom hardware.
Guttmann describes in detail a data-centric optimization approach to SSD. The approach drastically lowers the number of priors (“anchors”) needed for the detection, and thus linearly decreases time spent on this costly part of the computation. Thus, specialized processors and custom hardware may be better utilized, yielding higher performance and lower latency regardless of the specific hardware used.
Visualize Your Smart City: Build a Real-Time Smart City Dashboard for SensorT...SensorUp
This webinar is a hands-on tutorial demonstrating the steps to construct a real-time smart city dashboard. Th objective is for developers to learn OGC SensorThings API from a coding perspective. The dashboard uses OGC SensorThings API as the data source. It has five examples. The first and second examples show how to develop a time-series chart for SensorThings API. The third example is using Leaflet.js to show the IoT locations with SensorThings API. The fourth example is to build two simple widgets to show the latest reading and previous reading of an IoT datastream. Finally we demonstrate how to put everything together. Recording available on youtub: https://www.youtube.com/watch?v=W-_FgpwscCo.
Nokia provides data center solutions ranging from compact edge solutions to hyperscale cloud deployments. Their portfolio includes the AirFrame product line which offers rackmount, OpenRack, and OpenEdge server form factors to address different deployment needs from small edge sites to large central data centers. Nokia is a platinum member of the Open Compute Project and is contributing server and storage designs to help drive open standards and increased efficiency in data center design. They also offer management software to provide centralized monitoring and automation of data centers.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/pathpartner/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Praveen Nayak, Tech Lead at PathPartner Technology, presents the "Using Deep Learning for Video Event Detection on a Compute Budget" tutorial at the May 2019 Embedded Vision Summit.
Convolutional neural networks (CNNs) have made tremendous strides in object detection and recognition in recent years. However, extending the CNN approach to understanding of video or volumetric data poses tough challenges, including trade-offs between representation quality and computational complexity, which is of particular concern on embedded platforms with tight computational budgets. This presentation explores the use of CNNs for video understanding.
Nayak reviews the evolution of deep representation learning methods involving spatio- temporal fusion from C3D to Conv-LSTMs for vision-based human activity detection. He proposes a decoupled alternative to this fusion, describing an approach that combines a low-complexity predictive temporal segment proposal model and a fine-grained (perhaps high- complexity) inference model. PathPartner Technology finds that this hybrid approach, in addition to reducing computational load with minimal loss of accuracy, enables effective solutions to these high complexity inference tasks.
OSGi in the consumer entertainment environment - P Bristow & L Rozendaalmfrancis
This document discusses using OSGi in consumer electronics to allow devices to work together seamlessly. It envisions a home where devices like TVs, cameras, lights, and toys are connected and can interact through downloadable applications. The document outlines a step-by-step approach to achieving this vision through connectivity, interoperability standards, and enabling reconfigurability and application downloading. It also discusses technical challenges in building entertainment-focused applications that can run across devices with different capabilities.
Building Robotics Application at Scale using OpenSource from Zero to HeroAlex Barbosa Coqueiro
Today, organizations are using robotics to address a host of business challenges, from the self-driving car to autonomous walkers to assist older adults, exploring various environments from deep oceans to other planets like Mars. In the past, the integration of these robots took a significant amount of time and effort, and it required specialized expertise in this field. Still, this scenario has dramatically changed thanks to adopting a real-time production system with Linux and the Robot Operating System (ROS). ROS is an open-source software framework for robot development, including middleware, drivers, libraries, tools, and commonly used algorithms for robotics. In this session, we walk the audience through the steps from design to deployment robots using ROS2 Foxy (new version of ROS) from zero to hero using live demo using Python 3 (rclpy) with DDS (Data Distribution Service) simulating real-world environments with Gazebo (open-source 3D robotics simulator). In a nutshell, I will cover designing, developing, testing, and deploying intelligent robotics applications at scale, including integration with critical components, and discuss models that allow for optimized large fleet management.
The Eclipse M2M IWG and Standards for the Internet of ThingsWerner Keil
This session highlights how the M2M IWG can play a role in the Internet of Things and Distributed Sensor Web as well as related technologies like Smart Home, Automotive or Transport/Logistics (allowing containers to automatically notify you if e.g. their temperature changes beyond a healthy range;-) We demonstrate how existing Java standards like JSR 256 (Mobile Sensor API) can be improved or replaced towards a new generation of Java Embedded and Mobile.
Taking technologies like the IEEE 1451 "Smart Sensor" standard into consideration, as well as OGC standards like SensorML or The Unified Code for Units of Measurement (UCUM) allowing type and context safe data transfer using various formats and protocols, whether it is XML, JSON or specific M2M protocols like MQTT or OMA-DM.
Developers who work with physical quantities (e.g. in scientific, engineering, medical, manufacturing domains or general business) need to be able to handle measurements of these quantities in their programs.
M2M, Sensor Web, Observations and MeasurementsWerner 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
Data Quality on Mars - ISO 80000 and other Standards - Apache Big Data Europe...Werner Keil
Big Data without Data Quality becomes messy and meaningless in most cases. Therefore, data and measurements have to be stored and transferred in a standard way.
We all know that when representing a temperature, for example, we normally have it as decimal/float. But, is this float in Celsius? Fahrenheit? Kelvin?
One of the most vivid examples was Mars Climate Orbiter being lost as the spacecraft went into orbital insertion, due to ground-based computer software which produced output in non-SI units of pound-seconds (lbf×s) instead of the metric units of newton-seconds (N×s) specified in the contract between NASA and Lockheed.
In this session we're going to explore data quality and measurement standards like ISO 80000 or UCUM (Unified Code for Units of Measure), Unit support for programming languages and APIs plus projects using them like Apache SIS, Performance Co-Pilot or uDig.
UAVs are a disruptive technology bringing new geographic data and information to many application domains. UASs are similar to other geographic imagery systems so existing frameworks are applicable. But the diversity of UAVs as platforms along with the diversity of available sensors are presenting challenges in the processing and creation of geospatial products. Efficient processing and dissemination of the data is achieved using software and systems that implement open standards. The challenges identified point to the need for use of existing standards and extending standards. Results from the use of the OGC Sensor Web Enablement set of standards are presented. Next steps in the progress of UAVs and UASs may follow the path of open data, open source and open standards.
The Irish Software Show, ( http://epicenter.ie ) Werner Keil: UCUM
Developers who work with physical quantities (such as developers in the scientific, engineering, medical, and manufacturing domains) need to be able to handle measurements of these quantities in their programs.
Inadequate models of physical measurements can lead to significant programmatic errors.
In particular, the practice of modeling a measure as a simple number with no regard to the units it represents creates fragile code. Another developer or another part of the code may misinterpret the number as representing a different unit of measurement. For example, it may be unclear whether a person's weight is expressed in pounds, kilograms, or stones.
Problems multiply once a client has to communicate with one or more servers or services in a Cloud.
This session provides an overview of the UCUM standard and related interoperability efforts like UnitML by OASIs. It also outlines various implementations based on Eclipse, Java Mobile (JSR-256) or OSGi, just to name the most common examples. And looks at ways, different platforms, e.g. .NET/F# and JVM based languages can exchange measurements preserving their value and units.
http://epicenter.ie/2010.html?zone_id=20&mode=agenda&session=143#session
Keynote presentation to New Zealand Geospatial Research Conference 2015. This presentation covered emerging topics for geospatial research in four areas:
- Spatial Representation: urban models, CityGML, indoor and DGGS
- New Data Sources: sensors everywhere, IoT, UAVs citizen observations, social media
- Computer Engineering: Big data, moving features, spatial analytics, mobile, 3D portrayal, augmented reality
- Application Areas: Soils Interoperability Experiment, Urban Climate Resilience in OGC Testbed 11.
Scalable and Cost-Effective Model-Based Software Verification and TestingLionel Briand
This document describes research on using model-based techniques to generate stress test cases for embedded software. A constraint programming approach is used to model the software system, hardware platform, and performance requirements. The model includes properties of threads, activities, and the scheduling policy. The approach searches for values of tunable parameters, such as delays, that maximize CPU usage while satisfying constraints, in order to evaluate the system under worst-case conditions and help verify that it meets safety standards. The generated test cases effectively stress the system by selecting parameter values that guide the execution towards maximum resource consumption.
Social Media Week 2015 - Quantified Self and the Social Internet of ThingsWerner 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.
M4M 2 the Rescue of M2M - Eclipse DemoCamps Fall 2013Werner 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.
This is where the Unified Code for Units of Measurement (UCUM) among similar approaches like UnitsML, SensorML or a few others are vital for error-free M2M transactions, not just between sensors or measurement devices, but also and especially vehicles or distributed devices.
OSGi Measurement has been around for some time (R3) but never gained as much momentum, as many other bundles of OSGi did. Except for very few use cases in the Embedded or Automotive sector it is practically unused and based on statements by its contributors in the OSGi Alliance to be considered legacy with no plans continue development.
JSR 363 - The Answer to Life Science and the Internet of EverythingWerner Keil
Developers who work with quantities (sensor reading from edge devices, scientific, engineering, medical, or manufacturing) need to handle measurements of these quantities in their programs. Inadequate models of physical measurements can lead to programmatic errors. In particular when modelling a measurement as a simple number with no regard to the units it represents creates fragile code. Another developer or part of the system can misinterpret the number as a different unit. For example, it may be unclear whether a person's mass is expressed in pounds, kilograms, or stones. A human reading „10°C“, „10 C“ or simply „10 Degrees“ may interpret each of those correctly. For M2M communication, unless a program contains a „Babel Fish“, such ambiguity would not be acceptable.
Don’t Panic: After programming languages like Ada, C++, Eiffel or F# added type-safe Unit support already, JSR 363, Units of Measurement API will add similar support to the Java Platform, making it competitive for M2M in the Internet of Things with strong emphasis on sensors.
This session provides an overview of popular use cases for the Units of Measurement JSR and implementations on both Java ME 8 Embedded (CLDC 8) and Java SE 8. A Hitchhiker’s guide across places where this JSR helps improve data quality or save lives by ensuring e.g. a patient receives the correct dosage of medicine or smart homes and similar energy saving measures prevents Earth from being destroyed by Global Warming (rather than waiting for a Vogon express route ;-)
UVS Subsea Technology is an Australian company that provides underwater technology services including engineering, component development, and product development. They have a nationwide footprint in Australia and work in diverse markets such as offshore oil and gas, defense, oceanography, and utilities. Some of their projects include developing autonomous underwater vehicles, submarine camera surveillance systems, and trenchers for offshore wind farms. The company focuses on innovation through R&D investment, engineering execution, and collaborating with startups and entrepreneurs.
This document discusses challenges for the next generation of interactive media using computer vision sensors. It presents three prototypes developed by the author: 1) AquaTop Display, an interactive water surface that uses water-specific gestures for input; 2) BallCam, a camera inside a ball that stabilizes spinning video to provide ball's point of view footage of sports; 3) Unaware Gaze Navigation, which guides users' gaze with subtle blurring without noticing. The author concludes that rapid prototyping and advanced implementation are needed to develop novel ideas into unique products for vision-based human-computer interaction.
B Kindilien-Does Manufacturing Have a Future?jgIpotiwon
Presentation to students and educators at Eastern Connecticut State University in 2008 on the challenges, and opportunities, facing people in manufacturing.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-guttmann
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Moses Guttmann, CTO and founder of Allegro, presents the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit.
Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due to their speed when operating on inputs with small spatial dimensions.
The key challenge in creating efficient embedded implementations of SSD is not in the feature extraction module, but rather is due to the non-linear bottleneck in the detection stage, which does not lend itself to parallelization. This hinders the ability to lower the processing time per frame, even with custom hardware.
Guttmann describes in detail a data-centric optimization approach to SSD. The approach drastically lowers the number of priors (“anchors”) needed for the detection, and thus linearly decreases time spent on this costly part of the computation. Thus, specialized processors and custom hardware may be better utilized, yielding higher performance and lower latency regardless of the specific hardware used.
Visualize Your Smart City: Build a Real-Time Smart City Dashboard for SensorT...SensorUp
This webinar is a hands-on tutorial demonstrating the steps to construct a real-time smart city dashboard. Th objective is for developers to learn OGC SensorThings API from a coding perspective. The dashboard uses OGC SensorThings API as the data source. It has five examples. The first and second examples show how to develop a time-series chart for SensorThings API. The third example is using Leaflet.js to show the IoT locations with SensorThings API. The fourth example is to build two simple widgets to show the latest reading and previous reading of an IoT datastream. Finally we demonstrate how to put everything together. Recording available on youtub: https://www.youtube.com/watch?v=W-_FgpwscCo.
Nokia provides data center solutions ranging from compact edge solutions to hyperscale cloud deployments. Their portfolio includes the AirFrame product line which offers rackmount, OpenRack, and OpenEdge server form factors to address different deployment needs from small edge sites to large central data centers. Nokia is a platinum member of the Open Compute Project and is contributing server and storage designs to help drive open standards and increased efficiency in data center design. They also offer management software to provide centralized monitoring and automation of data centers.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/pathpartner/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Praveen Nayak, Tech Lead at PathPartner Technology, presents the "Using Deep Learning for Video Event Detection on a Compute Budget" tutorial at the May 2019 Embedded Vision Summit.
Convolutional neural networks (CNNs) have made tremendous strides in object detection and recognition in recent years. However, extending the CNN approach to understanding of video or volumetric data poses tough challenges, including trade-offs between representation quality and computational complexity, which is of particular concern on embedded platforms with tight computational budgets. This presentation explores the use of CNNs for video understanding.
Nayak reviews the evolution of deep representation learning methods involving spatio- temporal fusion from C3D to Conv-LSTMs for vision-based human activity detection. He proposes a decoupled alternative to this fusion, describing an approach that combines a low-complexity predictive temporal segment proposal model and a fine-grained (perhaps high- complexity) inference model. PathPartner Technology finds that this hybrid approach, in addition to reducing computational load with minimal loss of accuracy, enables effective solutions to these high complexity inference tasks.
OSGi in the consumer entertainment environment - P Bristow & L Rozendaalmfrancis
This document discusses using OSGi in consumer electronics to allow devices to work together seamlessly. It envisions a home where devices like TVs, cameras, lights, and toys are connected and can interact through downloadable applications. The document outlines a step-by-step approach to achieving this vision through connectivity, interoperability standards, and enabling reconfigurability and application downloading. It also discusses technical challenges in building entertainment-focused applications that can run across devices with different capabilities.
Building Robotics Application at Scale using OpenSource from Zero to HeroAlex Barbosa Coqueiro
Today, organizations are using robotics to address a host of business challenges, from the self-driving car to autonomous walkers to assist older adults, exploring various environments from deep oceans to other planets like Mars. In the past, the integration of these robots took a significant amount of time and effort, and it required specialized expertise in this field. Still, this scenario has dramatically changed thanks to adopting a real-time production system with Linux and the Robot Operating System (ROS). ROS is an open-source software framework for robot development, including middleware, drivers, libraries, tools, and commonly used algorithms for robotics. In this session, we walk the audience through the steps from design to deployment robots using ROS2 Foxy (new version of ROS) from zero to hero using live demo using Python 3 (rclpy) with DDS (Data Distribution Service) simulating real-world environments with Gazebo (open-source 3D robotics simulator). In a nutshell, I will cover designing, developing, testing, and deploying intelligent robotics applications at scale, including integration with critical components, and discuss models that allow for optimized large fleet management.
The Eclipse M2M IWG and Standards for the Internet of ThingsWerner Keil
This session highlights how the M2M IWG can play a role in the Internet of Things and Distributed Sensor Web as well as related technologies like Smart Home, Automotive or Transport/Logistics (allowing containers to automatically notify you if e.g. their temperature changes beyond a healthy range;-) We demonstrate how existing Java standards like JSR 256 (Mobile Sensor API) can be improved or replaced towards a new generation of Java Embedded and Mobile.
Taking technologies like the IEEE 1451 "Smart Sensor" standard into consideration, as well as OGC standards like SensorML or The Unified Code for Units of Measurement (UCUM) allowing type and context safe data transfer using various formats and protocols, whether it is XML, JSON or specific M2M protocols like MQTT or OMA-DM.
Developers who work with physical quantities (e.g. in scientific, engineering, medical, manufacturing domains or general business) need to be able to handle measurements of these quantities in their programs.
M2M, Sensor Web, Observations and MeasurementsWerner 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
Data Quality on Mars - ISO 80000 and other Standards - Apache Big Data Europe...Werner Keil
Big Data without Data Quality becomes messy and meaningless in most cases. Therefore, data and measurements have to be stored and transferred in a standard way.
We all know that when representing a temperature, for example, we normally have it as decimal/float. But, is this float in Celsius? Fahrenheit? Kelvin?
One of the most vivid examples was Mars Climate Orbiter being lost as the spacecraft went into orbital insertion, due to ground-based computer software which produced output in non-SI units of pound-seconds (lbf×s) instead of the metric units of newton-seconds (N×s) specified in the contract between NASA and Lockheed.
In this session we're going to explore data quality and measurement standards like ISO 80000 or UCUM (Unified Code for Units of Measure), Unit support for programming languages and APIs plus projects using them like Apache SIS, Performance Co-Pilot or uDig.
UAVs are a disruptive technology bringing new geographic data and information to many application domains. UASs are similar to other geographic imagery systems so existing frameworks are applicable. But the diversity of UAVs as platforms along with the diversity of available sensors are presenting challenges in the processing and creation of geospatial products. Efficient processing and dissemination of the data is achieved using software and systems that implement open standards. The challenges identified point to the need for use of existing standards and extending standards. Results from the use of the OGC Sensor Web Enablement set of standards are presented. Next steps in the progress of UAVs and UASs may follow the path of open data, open source and open standards.
The Irish Software Show, ( http://epicenter.ie ) Werner Keil: UCUM
Developers who work with physical quantities (such as developers in the scientific, engineering, medical, and manufacturing domains) need to be able to handle measurements of these quantities in their programs.
Inadequate models of physical measurements can lead to significant programmatic errors.
In particular, the practice of modeling a measure as a simple number with no regard to the units it represents creates fragile code. Another developer or another part of the code may misinterpret the number as representing a different unit of measurement. For example, it may be unclear whether a person's weight is expressed in pounds, kilograms, or stones.
Problems multiply once a client has to communicate with one or more servers or services in a Cloud.
This session provides an overview of the UCUM standard and related interoperability efforts like UnitML by OASIs. It also outlines various implementations based on Eclipse, Java Mobile (JSR-256) or OSGi, just to name the most common examples. And looks at ways, different platforms, e.g. .NET/F# and JVM based languages can exchange measurements preserving their value and units.
http://epicenter.ie/2010.html?zone_id=20&mode=agenda&session=143#session
Keynote presentation to New Zealand Geospatial Research Conference 2015. This presentation covered emerging topics for geospatial research in four areas:
- Spatial Representation: urban models, CityGML, indoor and DGGS
- New Data Sources: sensors everywhere, IoT, UAVs citizen observations, social media
- Computer Engineering: Big data, moving features, spatial analytics, mobile, 3D portrayal, augmented reality
- Application Areas: Soils Interoperability Experiment, Urban Climate Resilience in OGC Testbed 11.
Scalable and Cost-Effective Model-Based Software Verification and TestingLionel Briand
This document describes research on using model-based techniques to generate stress test cases for embedded software. A constraint programming approach is used to model the software system, hardware platform, and performance requirements. The model includes properties of threads, activities, and the scheduling policy. The approach searches for values of tunable parameters, such as delays, that maximize CPU usage while satisfying constraints, in order to evaluate the system under worst-case conditions and help verify that it meets safety standards. The generated test cases effectively stress the system by selecting parameter values that guide the execution towards maximum resource consumption.
This document provides an overview of a talk given by Dirk Gorissen on UAV and robotics technology. The talk discusses the DECODE project, which aims to develop a system to help designers understand the impact of decisions made during complex aerospace system design. As a case study, the project is using UAV design for search and rescue operations. The talk outlines UAV and robot technologies, the DECODE design system, rapid manufacturing techniques like 3D printing, and future work such as a two-seas monitoring project using UAVs.
Analysis Ready Data workshop - OGC presentation George Percivall
The Open Geospatial Consortium (OGC) has activities relevant to the workshop scope of "the current state-of-the-art in satellite data interoperability”. This presentation will focus on two main topics with the option to discuss other relevant topics that the participants may wish to discuss, e.g., WFS3. The two focus areas of development: 1) Geospatial Datacubes and 2) Earth Observation Exploitation Platforms. 1) A Geospatial Datacube provides access to and analytics on analysis ready data (ARD) organized with coordinate axes of space and time with cells in the cube containing data of geospatial features, e.g., imagery. OGC members implementing geospatial datacubes are documenting common practices to spur development and leading to the possibility to federated geospatial datacubes. 2) OGC is forming a Earth Observation Exploitation Platform Domain Working Group with the goal of defining a standards-based framework for cloud-based access to and analysis of EO data. An ad-hoc meeting was held in March 2018 to scope the working group with the results issued in a request for comment: http://www.opengeospatial.org/pressroom/pressreleases/2792
Michael K Bartosewcz is seeking a leadership position as a Senior Systems EO/IR Engineer and/or Program Manager on an EO/IR space flight hardware/software/algorithm program. He has significant experience in systems engineering and program management for C4ISR systems including SBIRS High, ABL, IKONOS, U-2 Multispectral Camera, and more. He has expertise in requirements analysis, system architecture analysis, interface definition, mission analysis, certification as a Thermal Vacuum/Vibration Test Engineer, and program/project management. He has a BS in Electrical Engineering from the University of Vermont and an MS in Physics from the University of Vermont.
The document discusses the EOSC Test Suite, which provides automated testing of cloud services for research. It outlines the timeline and context of the Test Suite, describing how it deploys scientific workloads and containerized tests across heterogeneous cloud platforms. The document also details the process for including new tests in the Test Suite, lists examples of deployments that have been run, and discusses the benefits of the Test Suite for validating cloud services and providing examples for researchers.
Real-Time Simulation for MBSE of Synchrophasor SystemsLuigi Vanfretti
This document discusses the development of a laboratory for testing and validating phasor measurement unit (PMU) applications using real-time hardware-in-the-loop (HIL) simulation. It describes the initial implementation of the lab in 2011 and outlines contributions to the model-based systems engineering foundations for cyber-physical power systems, including modeling for real-time simulation, experimental work developing and testing PMU applications using HIL, and several PMU-based monitoring applications that were implemented and tested.
The Quantified UOMo - Eclipse DemoCamp Trondheim 2015Werner Keil
The document discusses units of measurement in software and introduces the Quantified UOMo project. It provides an overview of prior work on units of measurement in APIs and frameworks. It then demonstrates the UOMo project, which provides a type-safe units of measurement library and implements the JSR-363 Units of Measurement API. Examples are given for uses in healthcare, fitness, smart homes, and quantified self-tracking.
OGC Update for State of Geospatial Tech at T-RexGeorge Percivall
An update on OGC activities in three time horizons: Now, Next and After Next. Finishing with how to keep updated on OGC activities.
Now
Recently approved OGC standards
Implementation of approved standards
Next
Standards Program
Innovation Program
After Next
Tech Forecast
How to keep in touch
Mieke Gevers - Performance Testing in 5 Steps - A Guideline to a Successful L...TEST Huddle
EuroSTAR Software Testing Conference 2008 presentation on Performance Testing in 5 Steps - A Guideline to a Successful Load Test by Mieke Gevers. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
IoT Meetup Budapest - The Open-CPS approachÁkos Horváth
The document discusses the OpenCPS project, which aims to develop methods and tools for multi-disciplinary simulation of cyber-physical systems through a model-driven approach. The project has 18 industrial and academic partners across 4 countries. It focuses on developing an FMI-based co-simulation environment, state machine debugging tools, and methods for efficient multi-core simulation. Key innovation areas include simulation of UML and Modelica models, real-time synchronization, and an FMI master simulation framework. An industrial use case involving simulation of an aircraft environmental control system is presented to demonstrate the project's techniques.
Challenges and Opportunities of the IoT Data and Service InteroperabilitySensorUp
The document discusses challenges and opportunities of data and service interoperability in the Internet of Things (IoT). It notes that interoperability is the biggest challenge currently facing the IoT. The document advocates for a sensor web vision where sensors are accessible as a service and describes efforts to develop open standards and platforms to realize this vision through service enablement and overcoming data silos. Case studies are presented that demonstrate how sensor data from multiple systems can be integrated through open standards and platforms to provide a common operating picture for various users.
Similar to M4M 2 the Rescue of M2M - Eclipse DemoCamps Kepler 2013 (20)
Securing eHealth, eGovernment and eBanking with Java - DWX '21Werner Keil
The EU increases its cooperation on cyber defense to strengthen its resilience to cyber-attacks through the EU Cybersecurity Act and certification of products, services or applications. To be as well prepared as possible against hacker attacks or the distribution of "fake news", fake documents or transactions. Like a One Trillion Amazon refund or fake tax returns. The IT industry may use this mechanism to certify products like connected vehicles, government services or smart medical devices. Due to its platform independence, Java plays an important role, especially in web, cloud or enterprise environments. In addition the PSD2 regulation went into effect in 2019 to make payments more secure, boost innovation and help banking services adapt to new technologies.
This session shows use cases of the DSS Framework and solutions based on it, such as Digidoc4J. DSS (Digital Signature Services) is a Java framework for the creation and validation of electronic signatures. DSS supports the creation and validation of interoperable and secure electronic signatures in accordance with European legislation, in particular the eIDAS Regulation, as well as IT standards like OASIS DSS. We are going to demonstrate how different documents and services can be signed and verified. Securing the data exchange using standards like DICOM, HL7 to OCSI or PSD2 and XS2A.
OpenDDR and Jakarta MVC - JavaLand 2021Werner Keil
We experience a growing number of mobile phones, tablets, phablets, foldables, smart TV, watches or home assistants and similar devices flooding the market almost every day. If you want to create a responsive web application with the best user experience you need dynamic adaptive content according to all relevant aspects of your device. That’s the reason for Device Description Repositories (DDR).
This session provides an overview of the W3C DDR standard for Mobile Device recognition and the OpenDDR project. Followed by a live demo of extensions to Spring MVC and the Jakarta MVC standard, plus .NET using C# and VB.NET leveraging the power of OpenDDR to simplify the development of cross device web applications. All offer automatic device detection based on OpenDDR, configuration of user preferences, automatically forward to the most appropriate view for a particular device or device type. As well as device aware templates, view engines and more.
How JSR 385 could have Saved the Mars Climate Orbiter - Zurich IoT Day 2021Werner Keil
The document discusses how using JSR-385 could have prevented the loss of the Mars Climate Orbiter spacecraft. It describes how the orbiter was launched in 1998 to study the Martian climate but was lost due to a failure to convert between metric and imperial units. Had JSR-385 been used to define physical quantities with consistent units, as it does now, this error may have been caught during development. The document then provides an overview of JSR-385 and how it can help define quantities, units, and perform unit conversions to prevent such errors.
OpenDDR and Jakarta MVC - Java2Days 2020 VirtualWerner Keil
We experience a growing number of mobile phones, tablets, phablets, foldables, smart TV, watches, or home assistants, and similar devices flooding the market almost every day. If you want to create a responsive web application with the best user experience you need dynamic adaptive content according to all relevant aspects of your device. That’s the reason for Device Description Repositories (DDR).
This session provides an overview of the W3C DDR standard for Mobile Device recognition and the OpenDDR project. Followed by a live demo of extensions to Spring MVC and the Jakarta MVC standard leveraging the power of OpenDDR to simplify the development of cross device web applications. Both offer automatic device detection based on OpenDDR, configuration of user preferences, automatically switch the path to the most appropriate view for a particular device or device type. As well as device aware templates, view engines, and more.
The amount of data collected by applications nowadays is growing at a scary pace. Many of them need to handle billions of users generating and consuming data at an incredible speed. Maybe you are wondering how to create an application like this? What is required? What works best for your project?
In this session we’ll compare popular Java and JVM persistence frameworks for NoSQL databases: Spring Data, Micronaut, Hibernate OGM, Jakarta NoSQL, and GORM. How do they compare, what are the strengths, weaknesses, differences, and similarities? We’ll show each of them with a selection of different NoSQL database systems (Key-Value, Document, Column, Graph).
The data load on applications has increased exponentially in recent years. We know the JVM (Java Virtual Machine) can cope with heavy loads very well yet we often come across the big dilemma: there are tons of persistence frameworks out there but which one performs best for my case? It would normally take ages to evaluate and choose the best fit for your use case. We’ve done those comparisons for you.
JCON 2020: Mobile Java Web Applications with MVC and OpenDDRWerner Keil
The document discusses mobile Java web applications using MVC frameworks and OpenDDR. It provides an overview of OpenDDR, comparing it to other device description repositories. It then discusses how to integrate OpenDDR into applications using Spring Mobile and Jakarta MVC, two popular MVC frameworks. The document ends with a link to demo the concepts discussed.
How JSR 385 could have Saved the Mars Climate Orbiter - JFokus 2020Werner Keil
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.
Money, Money, Money, can be funny with JSR 354 (Devoxx BE)Werner Keil
Maintenance Lead Werner Keil will present JSR 354 (Money and Currency). He 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.
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.
NoSQL: The first New Jakarta EE Specification (DWX 2019)Werner Keil
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.
How JSR 385 could have Saved the Mars Climate Orbiter - Adopt-a-JSR DayWerner Keil
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
JNoSQL: The Definitive Solution for Java and NoSQL DatabasesWerner Keil
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.
Eclipse JNoSQL: The Definitive Solution for Java and NoSQL DatabasesWerner Keil
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.
Physikal - Using Kotlin for Clean Energy - KUG MunichWerner Keil
The document discusses a presentation about using Kotlin for clean energy. It introduces Physikal, a Kotlin library that provides extensions and functions for working with units of measurement based on JSR-363. Physikal allows for easy creation and manipulation of units, as well as conversions between different units like meters and feet. It also supports all common arithmetic operators on units. The presentation provides examples of how to use Physikal to add, convert, and perform comparisons between units.
Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017Werner Keil
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.
Performance Monitoring for the Cloud - Java2Days 2017Werner Keil
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.
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.
Java2Days - Security for JavaEE and the CloudWerner 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?
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.
The First IoT JSR: Units of Measurement - JUG Berlin-BrandenburgWerner Keil
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.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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
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.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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!
58. Eclipse – Project UOMo
http://www.eclipse.org/uomo/
Units of Measurement API
http://www.unitsofmeasurement.org
UCUM
http://www.unitsofmeasure.org
Links
59. Eclipse – M2M IWG
http://m2m.eclipse.org
Open Geospatial Consortium
http://www.opengeospatial.org
Java Community Process
http://www.jcp.org
Links (2)