M4M 2 the Rescue of M2M - Eclipse DemoCamps Kepler 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.
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.
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)
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.
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)
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.
M4M 2 the Rescue of M2M - Eclipse DemoCamps Kepler 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.
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.
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)
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.
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)
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 ;-)
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.
There are many vision sensors such as high-speed camera, IR camera, depth camera, gaze tracker, and action camera. They are getting smaller, lighter, and less expensive. These vision sensors are imporntat because they can see what human cannot. By using such invisible information effectively, it becomes possible to develop natural, intuitive, and innovative HCI. In this talk, I would like to show some of our researches that uses advanced vision sensors, including LCD tabletop, interactive surface on the water, gaze navigation using unaware blur, dynamic projection mapping, and BallCam.
https://tech.rakuten.co.jp/
Calit2-a Persistent UCSD/UCI Framework for CollaborationLarry Smarr
05.02.16
Invited Talk
Sun Microsystems Global Education and Research
Conference 2005
Title: Calit2-a Persistent UCSD/UCI Framework for Collaboration
San Francisco, CA
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/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.
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.
SENSOR ID is a company founded by a team of young engineers, that polarizes its own activity into designing and production devices dedicated to the world of applications of IoT. Thanks to the experience gained with CUBIT Innovation Lab and University of Pisa, SensorID has developed a strong know-how in wireless technology standard integration and implementation and in wireless network topology design. SensorID built a complete portfolio of embedded electronic modules based on NFC, UHF, RFID.
This presentation presents a paper of IEEE CSCN 2015 on the DASH7 Alliance Protocol 1.0. It is an industry alliance standard for wireless sensor and actuator communication using the unlicensed sub-1 GHz bands. The paper explains its historic relation to active RFID standards ISO 18000-7 for 433 MHz communication, the basic concepts and communication paradigms of the protocol. Since the protocol is a full OSI stack specification, the paper discusses the implementation of every OSI layer.
Presentation by Terunao Tsuchiya, NFC Forum Board representative for Dai Nippon Printing, from March 11, 2016 at Asia Pacific Smart Card Association
Presentation includes the NFC Forum mission and strategic focus for 2016, a review of the latest market developments, use-cases of NFC Payment, Transportation and IoT In Action, and a overview of the Role of the NFC Forum.
CONNECTED OBJECTS - how NFC technology enables a more environmentally-friendl...Pierre Metivier
20, 40, 80 billions connected objects in the smart cities of the future by 2020 as foreseen by many large IT companies and consulting firms. But is our planet ready for as many billions Ion-lithium battery equiped objects ? What about the impact on our environment ? Hopefully, there are solutions to reduce the need of batteries in connected objets and energy harvesting is one important field of study. NFC, better known for contactless payment and transportation cards, is one technology that can be used to reduce the needs of batteries in connected objects, allowing a cleaner and greener environment, as this track will present.
Smart Cities and Countries Congress, Sept. 3, Paris
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 ;-)
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.
There are many vision sensors such as high-speed camera, IR camera, depth camera, gaze tracker, and action camera. They are getting smaller, lighter, and less expensive. These vision sensors are imporntat because they can see what human cannot. By using such invisible information effectively, it becomes possible to develop natural, intuitive, and innovative HCI. In this talk, I would like to show some of our researches that uses advanced vision sensors, including LCD tabletop, interactive surface on the water, gaze navigation using unaware blur, dynamic projection mapping, and BallCam.
https://tech.rakuten.co.jp/
Calit2-a Persistent UCSD/UCI Framework for CollaborationLarry Smarr
05.02.16
Invited Talk
Sun Microsystems Global Education and Research
Conference 2005
Title: Calit2-a Persistent UCSD/UCI Framework for Collaboration
San Francisco, CA
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/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.
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.
SENSOR ID is a company founded by a team of young engineers, that polarizes its own activity into designing and production devices dedicated to the world of applications of IoT. Thanks to the experience gained with CUBIT Innovation Lab and University of Pisa, SensorID has developed a strong know-how in wireless technology standard integration and implementation and in wireless network topology design. SensorID built a complete portfolio of embedded electronic modules based on NFC, UHF, RFID.
This presentation presents a paper of IEEE CSCN 2015 on the DASH7 Alliance Protocol 1.0. It is an industry alliance standard for wireless sensor and actuator communication using the unlicensed sub-1 GHz bands. The paper explains its historic relation to active RFID standards ISO 18000-7 for 433 MHz communication, the basic concepts and communication paradigms of the protocol. Since the protocol is a full OSI stack specification, the paper discusses the implementation of every OSI layer.
Presentation by Terunao Tsuchiya, NFC Forum Board representative for Dai Nippon Printing, from March 11, 2016 at Asia Pacific Smart Card Association
Presentation includes the NFC Forum mission and strategic focus for 2016, a review of the latest market developments, use-cases of NFC Payment, Transportation and IoT In Action, and a overview of the Role of the NFC Forum.
CONNECTED OBJECTS - how NFC technology enables a more environmentally-friendl...Pierre Metivier
20, 40, 80 billions connected objects in the smart cities of the future by 2020 as foreseen by many large IT companies and consulting firms. But is our planet ready for as many billions Ion-lithium battery equiped objects ? What about the impact on our environment ? Hopefully, there are solutions to reduce the need of batteries in connected objets and energy harvesting is one important field of study. NFC, better known for contactless payment and transportation cards, is one technology that can be used to reduce the needs of batteries in connected objects, allowing a cleaner and greener environment, as this track will present.
Smart Cities and Countries Congress, Sept. 3, Paris
Near field communication (NFC) is a set of standards for smartphones and similar devices to establish radio communication with each other by touching them together or bringing them into proximity, usually no more than a few inches.
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
Future Internet: Managing Innovation and TestbedShinji Shimojo
Innovation is a big key word for ICT research and development. However, a road toward innovation is facing full of uncertainties and there are many obstacles. key elements to overcome these obstacles seems to be agile management of people, software and hardware. In addition, we think involvement of users in R&D will have much effect on the management of uncertainty in R&D. In this talk, I talk on our approach to this user involvement in JGN-X, an international future internet testbed and Knowledge Capital, Osaka, an smart city experimental testbed.
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.
Cloud Standards in the Real World: Cloud Standards Testing for DevelopersAlan Sill
Learn about standards studied in the US National Science Foundation Cloud and Autonomic Computing Industry/University Cooperative Research Center Cloud Standards Testing Lab and how you can get involved to extend the successes from these results in your own cloud software settings. Presented at the O'Reilly OSCON 2014 Open Cloud Day.
Video available at https://www.youtube.com/watch?v=eD2h0SqC7tY
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
Walking through the fog (computing) - Keynote talk at Italian Networking Work...FBK CREATE-NET
"Walking through the fog (computing): trends, use-cases and open issues"
Despite its huge success in many IT-enabled application scenarios, cloud computing has demonstrated some intrinsic limitations that may severely limit its adoption in several contexts where constraints like e.g. preserving data locally, ensuring real-time reactivity or guaranteeing operation continuity despite lack of Internet connectivity (or a combination of them) are mandatory. These distinguishing requirements fostered an increased interest toward computing approaches that inherit the flexibility and adaptability of the cloud paradigm, while acting in proximity of a specific scenario. As a consequence, the emergence of this “proximity computing” approach has exploded into a plethora of architectural solutions (and novel terms) like fog computing, edge computing, dew computing, mist computing but also cloudlets, mobile cloud computing, mobile edge computing (and probably few others I may not be aware of…). The talk will initially make an attempt to introduce some clarity among these “foggy” definitions by proposing a taxonomy whose aim is to help identifying their peculiarities as well as their overlaps. Afterwards, the most important components of a generalized proximity computing architecture will be explained, followed by the description of few research works and use cases investigated within our Center and based on this emerging paradigm. An overview of open issues and interesting research directions will conclude the talk.
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP Project
This presentation was delivered by Johan Forsman (Tieto), Jörg Domaschka (UULM) and Paolo Casari (IMDEA Networks) at the ETSI Experiential Network Intelligence (ENI) Meeting in Warsaw, Poland, on April 12th, 2019. ETSI Experiential Networked Industry Specification Group (ENI ISG) work on defining a Cognitive Network Management architecture using Artificial Intelligence (AI) techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. The intention is that the use of Artificial Intelligence techniques in the network management system should solve some of the problems of future network deployment and operations. For more information, see https://www.etsi.org/technologies/experiential-networked-intelligence.
Towards a Lightweight Multi-Cloud DSL for Elastic and Transferable Cloud-nati...Nane Kratzke
Cloud-native applications are intentionally designed for the cloud in order to leverage cloud platform features like horizontal scaling and elasticity – benefits coming along with cloud platforms. In addition to classical (and very often static) multi-tier deployment scenarios, cloud-native applications are typically operated on much more complex but elastic infrastructures. Furthermore, there is a trend to use elastic container platforms like Kubernetes, Docker Swarm or Apache Mesos. However, especially multi-cloud use cases are astonishingly complex to handle. In consequence, cloud-native applications are prone to vendor lock-in. Very often TOSCA-based approaches are used to tackle this aspect. But, these application topology defining approaches are limited in supporting multi-cloud adaption of a cloud-native application at runtime. In this paper, we analyzed several approaches to define cloud-native applications being multi-cloud transferable at runtime. We have not found an approach that fully satisfies all of our requirements. Therefore we introduce a solution proposal that separates elastic platform definition from cloud application definition. We present first considerations for a domain specific language for application definition and demonstrate evaluation results on the platform level showing that a cloud-native application can be transfered between different cloud service providers like Azure and Google within minutes and without downtime. The evaluation covers public and private cloud service infrastructures provided by Amazon Web Services, Microsoft Azure, Google Compute Engine and OpenStack.
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.
Geospatial Temporal Open Standards for Big Data from Space (BiDS2014)George Percivall
Presentation to ESA Big Data From Space (BiDS2014), November 2014.
Big data from space requires processing large amounts of data in a distributed environment. For efficient, quality and cost-effective deployment, these environments must be based on open standards. The Open Geospatial Consortium (OGC) open standards for geospatial-temporal information have been tuned through implementations to meet the needs of big data.
Similar to Standards for the Future of Java Embedded (16:9) (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
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 compact version of our talk for IoT Day 2021 to learn how JSR 385 can help you avoid $125 million mistakes, how it applied the 2019 redefinition of SI base units, and discover the immeasurable world of dimensions, units and quantities.
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
Mobile Java Web Applications with MVC and OpenDDR
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 MVC 1.0 standard for Java (JSR-371) 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.
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
Tenkiv developed a new kind of solar power system focused on cost-effectiveness and scalability in need of data acquisition system to collect and analyze data from different sensors throughout the cloud. Because the system may have different energy conversion devices (modules), different number of thermal circuits, collectors, etc. the control software has to be very adaptable to match these varying configurations.
Therefore the JVM was an ideal choice. The control software "Nexus Brain" is written in Kotlin. It heavily uses Units of Measurement, so Tenkiv created Physikal, a Kotlin extension to the Java 8 implementation of JSR 363. A project also used by others, for example in collaboration with NASA or ETH Zurich.
This session will give a brief overview of how Tenkiv and Nexus Brain use Kotlin and Physikal/JSR 363 to calculate the optimal usage of alternate energy sources and control solar power systems for making clean water anywhere from Flint Michigan to Afghanistan or Cape Town.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
48. Q & A
Let„s talk
Any resemblance to real persons, living or dead or public figures, is purely coincidental.
49. Eclipse – Project UOMo
http://www.eclipse.org/uomo/
Units of Measurement API
http://www.unitsofmeasurement.org
UCUM
http://www.unitsofmeasure.org
Links
50. Eclipse – M2M IWG
http://m2m.eclipse.org
Open Geospatial Consortium
http://www.opengeospatial.org
Java Community Process
http://www.jcp.org
Links (2)