Presentation given by Limecraft at the 2011 ECM-EDM Metadata Hands-on Workshop organised by the EBU.
We talked about simplified ways of obtaining and manipulating Material eXchange Format (MXF) metadata using existing toolkits and standards.
THE CASE FOR MXF-EMBEDDED EBUCORE METADATA IN ARCHIVING APPLICATIONS | Dieter...FIAT/IFTA
A solution to current descriptive metadata delivery problems is the use of metadata embedded in the audio-visual essence containers themselves. This way, metadata can no longer get lost and needs no separate out-of-band delivery mechanism. Using EBUCore metadata embedded in essence files using a freely available reference SDK can ease the adoption of embedded metadata significantly and can help archive systems in supporting such standards-compliant embedded descriptive metadata. In this paper we describe the proceedings and lessons learnt from a development project of EBU and Limecraft, in which we investigated the use of MXF-embedded EBUCore metadata as way to support feeding metadata-enriched MXF files to a variety of media production and archiving systems.
The document discusses transfer learning using transformers for natural language processing tasks. It provides an overview of transfer learning, how transformers are well-suited for transfer learning in NLP, and a unified approach for various NLP tasks. The unified approach frames every text-based task as "text-to-text", adding a task prefix to input before feeding it to a model trained on a large unlabeled text corpus.
Congestion Control in Recursive Network ArchitecturesICT PRISTINE
This document discusses congestion control in recursive network architectures like the Recursive Inter-Network Architecture (RINA). It describes how RINA uses a layered, recursive stack approach compared to the layered Internet architecture. It also discusses types of network congestion that can be addressed, including through end system adaptation of traffic sources adjusting their send rates. The document outlines ongoing research into developing stable, scalable new types of congestion control for recursive networks, including approaches inspired by logistic growth models in nature.
The presentation covers the technical challenges which the developers faced while creating the service. Bartek Puzon explains why the Erlang language was chosen. He also describes how communication within NKtalk works and he talks about the usage of XMPP in web applications.
MJ Drouin presented an introduction to file-based workflows. The presentation covered traditional versus file-based workflows, challenges in implementing file-based workflows including skills gaps and lack of standards, and facilitators such as growing bandwidth and content creator demands. An overview of MXF standards was provided, highlighting advantages such as shared essence and open standards, as well as basics of MXF including partition packs and differentiating played versus saved material.
Switch to Alfresco with Seed in Australia and New ZealandAlfresco Software
This document summarizes a webinar about switching to the Alfresco content management system. It outlines the agenda which includes an introduction to Alfresco's "switch to" program, a demonstration of Alfresco migration services by SEED Information Management, and a Q&A session. It then provides more details about Alfresco's presence in Australia and New Zealand, the benefits of choosing Alfresco, and Alfresco's migration program and how it can help organizations migrate from other systems like EMC Documentum and Microsoft SharePoint.
Presentation of Mediamap @Ebu Production Technology SeminarMaarten Verwaest
Presentation of the intermediary results of the CELTIC project Mediamap on the EBU Production Technology Seminar by Maarten Verwaest.
(Geneva - 2010, February 3rd)
A few weeks ago Microsoft Chief Technical Officer Ray Ozzie unveiled a concept called Live Clipboard, at the O'Reilly Emerging Technology Conference. The main idea behind the concept is to provide for the web what the clipboard does today for desktop applications.
THE CASE FOR MXF-EMBEDDED EBUCORE METADATA IN ARCHIVING APPLICATIONS | Dieter...FIAT/IFTA
A solution to current descriptive metadata delivery problems is the use of metadata embedded in the audio-visual essence containers themselves. This way, metadata can no longer get lost and needs no separate out-of-band delivery mechanism. Using EBUCore metadata embedded in essence files using a freely available reference SDK can ease the adoption of embedded metadata significantly and can help archive systems in supporting such standards-compliant embedded descriptive metadata. In this paper we describe the proceedings and lessons learnt from a development project of EBU and Limecraft, in which we investigated the use of MXF-embedded EBUCore metadata as way to support feeding metadata-enriched MXF files to a variety of media production and archiving systems.
The document discusses transfer learning using transformers for natural language processing tasks. It provides an overview of transfer learning, how transformers are well-suited for transfer learning in NLP, and a unified approach for various NLP tasks. The unified approach frames every text-based task as "text-to-text", adding a task prefix to input before feeding it to a model trained on a large unlabeled text corpus.
Congestion Control in Recursive Network ArchitecturesICT PRISTINE
This document discusses congestion control in recursive network architectures like the Recursive Inter-Network Architecture (RINA). It describes how RINA uses a layered, recursive stack approach compared to the layered Internet architecture. It also discusses types of network congestion that can be addressed, including through end system adaptation of traffic sources adjusting their send rates. The document outlines ongoing research into developing stable, scalable new types of congestion control for recursive networks, including approaches inspired by logistic growth models in nature.
The presentation covers the technical challenges which the developers faced while creating the service. Bartek Puzon explains why the Erlang language was chosen. He also describes how communication within NKtalk works and he talks about the usage of XMPP in web applications.
MJ Drouin presented an introduction to file-based workflows. The presentation covered traditional versus file-based workflows, challenges in implementing file-based workflows including skills gaps and lack of standards, and facilitators such as growing bandwidth and content creator demands. An overview of MXF standards was provided, highlighting advantages such as shared essence and open standards, as well as basics of MXF including partition packs and differentiating played versus saved material.
Switch to Alfresco with Seed in Australia and New ZealandAlfresco Software
This document summarizes a webinar about switching to the Alfresco content management system. It outlines the agenda which includes an introduction to Alfresco's "switch to" program, a demonstration of Alfresco migration services by SEED Information Management, and a Q&A session. It then provides more details about Alfresco's presence in Australia and New Zealand, the benefits of choosing Alfresco, and Alfresco's migration program and how it can help organizations migrate from other systems like EMC Documentum and Microsoft SharePoint.
Presentation of Mediamap @Ebu Production Technology SeminarMaarten Verwaest
Presentation of the intermediary results of the CELTIC project Mediamap on the EBU Production Technology Seminar by Maarten Verwaest.
(Geneva - 2010, February 3rd)
A few weeks ago Microsoft Chief Technical Officer Ray Ozzie unveiled a concept called Live Clipboard, at the O'Reilly Emerging Technology Conference. The main idea behind the concept is to provide for the web what the clipboard does today for desktop applications.
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudMárton Kodok
The document discusses Vertex AI, Google Cloud's unified machine learning platform. It provides an overview of Vertex AI's key capabilities including gathering and labeling datasets at scale, building and training models using AutoML or custom training, deploying models with endpoints, managing models with confidence through explainability and monitoring tools, using pipelines to orchestrate the entire ML workflow, and adapting to changes in data. The conclusion emphasizes that Vertex AI offers an end-to-end platform for all stages of ML development and productionization with tools to make ML more approachable and pipelines that can solve complex tasks.
A MEDIA SHARING PLATFORM BUILT WITH OPEN SOURCE SOFTWAREvrt-medialab
Sharing and handling media files in a professional context often requires expensive software packages. For the EBU P/SCAIE project, a platform was required that could handle an abundance of professional file formats, arbitrary large file sizes and which did not pose restrictions on the metadata format used. As there was no such software available, we decided to build a custom web-based platform, based on loosely coupled open source components.
This paper explains the architecture of the resulting platform. With a minimum of custom code, we have created a powerful platform that meets our requirements. This integration, described in this paper, is of use to organizations wishing to build their own media platform using open source components.
Switch to alfresco with wasaaiq [compatibility mode]Alfresco Software
This document summarizes an upcoming webinar on Alfresco migration services. It will include an introduction to Alfresco migration services, a demonstration of the migration tools, and a Q&A session. The webinar will discuss how Alfresco offers packaged migration services to simplify replacing legacy ECM systems like Documentum and SharePoint. Experienced system integrators can deliver Alfresco migrations using tools that migrate content with minimal business disruption. The benefits of migrating to Alfresco include significant cost savings, avoiding vendor lock-in, and gaining a future-proof open source platform.
Data FAIRport Skunkworks: Common Repository Access Via Meta-Metadata Descript...datascienceiqss
It would be useful to be able to discover what kinds of data are contained in the myriad general-purpose public data repositories. It would be even better if it were possible to query that data and/or have that data conform to a particular context-dependent data format. This was the ambition of the Data FAIRport project. I will be demonstrating the "strawman" demonstration of a fully-functional Data FAIRport, where the meta/data in a public repository can be "projected" into one of a number of different context-dependent formats, such that it can be cross-queried in combination with the (potentially "projected") data from other repositories.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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This document discusses different integration styles for integrating Mr. Wang's internal systems and external suppliers. For internal integration, it recommends using an asynchronous messaging system with a message-oriented middleware. This would allow his ERP, POS, and website systems to reliably communicate by sending messages through centralized message channels. For external integration with suppliers that may use different technologies, it suggests using TIBCO BusinessConnect, RosettaNet Partner Interface Protocols, or Cisco eHub to integrate over the messaging system and connect to any technology.
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This document summarizes a webinar on building machine learning platforms. It discusses how operating ML models is complex, requiring tasks like monitoring performance, handling data drift, and ensuring governance and security. It then outlines common components of ML platforms, including data management, model management, and code/deployment management. The webinar will demonstrate how different organizations handle these components and include demos from four companies. It will also cover Databricks' approach to providing an ML platform that integrates various tools and simplifies the full ML lifecycle from data preparation to deployment.
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In recent years, one of the biggest trends in applications development has been the rise of Machine Learning solutions, tools, and managed platforms. Vertex AI is a managed unified ML platform for all your AI workloads. On the MLOps side, Vertex AI Pipelines solutions let you adopt experiment pipelining beyond the classic build, train, eval, and deploy a model. It is engineered for data scientists and data engineers, and it’s a tremendous help for those teams who don’t have DevOps or sysadmin engineers, as infrastructure management overhead has been almost completely eliminated. Based on practical examples we will demonstrate how Vertex AI Pipelines scores high in terms of developer experience, how fits custom ML needs, and analyze results. It’s a toolset for a fully-fledged machine learning workflow, a sequence of steps in the model development, a deployment cycle, such as data preparation/validation, model training, hyperparameter tuning, model validation, and model deployment. Vertex AI comes with all classic resources plus an ML metadata store, a fully managed feature store, and a fully managed pipelines runner. Vertex AI Pipelines is a managed serverless toolkit, which means you don't have to fiddle with infrastructure or back-end resources to run workflows.
This document discusses automation techniques for documentation including what automation is, its scope, case studies, and benefits. Automation is using programming to alter document structure and content based on requirements. It can be used to convert file formats or insert/delete text based on criteria. Tool automation focuses on enhancing specific tools like FrameMaker. FrameMaker automation options include the FDK, FrameScript, and fmPython plugins. Automation can also convert documents to open standards like XML for processing with scripts. A case study describes automating production editing by converting files to XML and using JavaScript for validation. Benefits of automation include increased accuracy, consistency, standardized processes, and improved productivity.
Data FAIRport Prototype & Demo - Presentation to Elsevier, Jul 10, 2015Mark Wilkinson
A discussion and demonstration of a functional Data FAIRport, using W3C's Linked Data Platform, Ruben Verborgh's Linked Data Fragments, and Hydra's hypermedia controlled vocabularies. This is the output of the "Skunkworks" working group of the larger Data FAIRport project (http://datafairport.org).
- The document provides a summary of K. Dhevendran's professional experience including 16+ years of experience leading design, development and maintenance of storage, telecom and network management products at Hewlett-Packard. Key roles included creating specifications, designing and developing REST APIs, performing maintenance, and providing customer integration solutions. Additional experience includes projects in network management, software development, and system integration. Skills include languages like Java, C++, C, protocols like SNMP, and tools like Eclipse. The document lists 8 projects with responsibilities and technologies used.
Apache Kafka - Scalable Message-Processing and more !Guido Schmutz
ndependent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. How can me make sure that all these event are accepted and forwarded in an efficient and reliable way? This is where Apache Kafaka comes into play, a distirbuted, highly-scalable messaging broker, build for exchanging huge amount of messages between a source and a target.
This session will start with an introduction into Apache and presents the role of Apache Kafka in a modern data / information architecture and the advantages it brings to the table. Additionally the Kafka ecosystem will be covered as well as the integration of Kafka in the Oracle Stack, with products such as Golden Gate, Service Bus and Oracle Stream Analytics all being able to act as a Kafka consumer or producer.
Terraform modules provide reusable, composable infrastructure components. The document discusses restructuring infrastructure code into modules to make it more reusable, testable, and maintainable. Key points include:
- Modules should be structured in a three-tier hierarchy from primitive resources to generic services to specific environments.
- Testing modules individually increases confidence in changes.
- Storing module code and versions in Git provides versioning and collaboration.
- Remote state allows infrastructure to be shared between modules and deployments.
Mike Taulty TechDays 2010 Silverlight 4 - What's New?ukdpe
Silverlight 4 is a major release that includes many new features such as support for additional browsers and platforms, improved networking capabilities including sockets support, enhanced data binding and validation, improved media support including offline DRM, and new controls. It also introduces the ability to create trusted out-of-browser applications that have increased desktop integration and access to native capabilities. The release strengthens support for MVVM, adds the Managed Extensibility Framework, and improves WCF RIA Services.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/sept-2018-alliance-vitf-khronos
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.
Metadata and Provenance for ML Pipelines with Hopsworks Jim Dowling
This talk describes the scale-out, consistent metadata architecture of Hopsworks and how we use it to support custom metadata and provenance for ML Pipelines with Hopsworks Feature Store, NDB, and ePipe . The talk is here: https://www.youtube.com/watch?v=oPp8PJ9QBnU&feature=emb_logo
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
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A MEDIA SHARING PLATFORM BUILT WITH OPEN SOURCE SOFTWAREvrt-medialab
Sharing and handling media files in a professional context often requires expensive software packages. For the EBU P/SCAIE project, a platform was required that could handle an abundance of professional file formats, arbitrary large file sizes and which did not pose restrictions on the metadata format used. As there was no such software available, we decided to build a custom web-based platform, based on loosely coupled open source components.
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Data FAIRport Skunkworks: Common Repository Access Via Meta-Metadata Descript...datascienceiqss
It would be useful to be able to discover what kinds of data are contained in the myriad general-purpose public data repositories. It would be even better if it were possible to query that data and/or have that data conform to a particular context-dependent data format. This was the ambition of the Data FAIRport project. I will be demonstrating the "strawman" demonstration of a fully-functional Data FAIRport, where the meta/data in a public repository can be "projected" into one of a number of different context-dependent formats, such that it can be cross-queried in combination with the (potentially "projected") data from other repositories.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Ui Modeling In Action With PMF, e4(XWT) And EGFBENOIT_LANGLOIS
The document discusses UI modeling using PMF and EGF. It introduces PMF as a platform-independent UI modeling tool and EGF as a model-to-text generation framework. It then summarizes how PMF models can be transformed to XWT user interfaces using patterns and factories in EGF. Key benefits highlighted include separating UI development roles, integrating with Eclipse tools, and enabling customizable UI generation.
This document discusses different integration styles for integrating Mr. Wang's internal systems and external suppliers. For internal integration, it recommends using an asynchronous messaging system with a message-oriented middleware. This would allow his ERP, POS, and website systems to reliably communicate by sending messages through centralized message channels. For external integration with suppliers that may use different technologies, it suggests using TIBCO BusinessConnect, RosettaNet Partner Interface Protocols, or Cisco eHub to integrate over the messaging system and connect to any technology.
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This document summarizes a webinar on building machine learning platforms. It discusses how operating ML models is complex, requiring tasks like monitoring performance, handling data drift, and ensuring governance and security. It then outlines common components of ML platforms, including data management, model management, and code/deployment management. The webinar will demonstrate how different organizations handle these components and include demos from four companies. It will also cover Databricks' approach to providing an ML platform that integrates various tools and simplifies the full ML lifecycle from data preparation to deployment.
DevBCN Vertex AI - Pipelines for your MLOps workflowsMárton Kodok
In recent years, one of the biggest trends in applications development has been the rise of Machine Learning solutions, tools, and managed platforms. Vertex AI is a managed unified ML platform for all your AI workloads. On the MLOps side, Vertex AI Pipelines solutions let you adopt experiment pipelining beyond the classic build, train, eval, and deploy a model. It is engineered for data scientists and data engineers, and it’s a tremendous help for those teams who don’t have DevOps or sysadmin engineers, as infrastructure management overhead has been almost completely eliminated. Based on practical examples we will demonstrate how Vertex AI Pipelines scores high in terms of developer experience, how fits custom ML needs, and analyze results. It’s a toolset for a fully-fledged machine learning workflow, a sequence of steps in the model development, a deployment cycle, such as data preparation/validation, model training, hyperparameter tuning, model validation, and model deployment. Vertex AI comes with all classic resources plus an ML metadata store, a fully managed feature store, and a fully managed pipelines runner. Vertex AI Pipelines is a managed serverless toolkit, which means you don't have to fiddle with infrastructure or back-end resources to run workflows.
This document discusses automation techniques for documentation including what automation is, its scope, case studies, and benefits. Automation is using programming to alter document structure and content based on requirements. It can be used to convert file formats or insert/delete text based on criteria. Tool automation focuses on enhancing specific tools like FrameMaker. FrameMaker automation options include the FDK, FrameScript, and fmPython plugins. Automation can also convert documents to open standards like XML for processing with scripts. A case study describes automating production editing by converting files to XML and using JavaScript for validation. Benefits of automation include increased accuracy, consistency, standardized processes, and improved productivity.
Data FAIRport Prototype & Demo - Presentation to Elsevier, Jul 10, 2015Mark Wilkinson
A discussion and demonstration of a functional Data FAIRport, using W3C's Linked Data Platform, Ruben Verborgh's Linked Data Fragments, and Hydra's hypermedia controlled vocabularies. This is the output of the "Skunkworks" working group of the larger Data FAIRport project (http://datafairport.org).
- The document provides a summary of K. Dhevendran's professional experience including 16+ years of experience leading design, development and maintenance of storage, telecom and network management products at Hewlett-Packard. Key roles included creating specifications, designing and developing REST APIs, performing maintenance, and providing customer integration solutions. Additional experience includes projects in network management, software development, and system integration. Skills include languages like Java, C++, C, protocols like SNMP, and tools like Eclipse. The document lists 8 projects with responsibilities and technologies used.
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ndependent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. How can me make sure that all these event are accepted and forwarded in an efficient and reliable way? This is where Apache Kafaka comes into play, a distirbuted, highly-scalable messaging broker, build for exchanging huge amount of messages between a source and a target.
This session will start with an introduction into Apache and presents the role of Apache Kafka in a modern data / information architecture and the advantages it brings to the table. Additionally the Kafka ecosystem will be covered as well as the integration of Kafka in the Oracle Stack, with products such as Golden Gate, Service Bus and Oracle Stream Analytics all being able to act as a Kafka consumer or producer.
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- Modules should be structured in a three-tier hierarchy from primitive resources to generic services to specific environments.
- Testing modules individually increases confidence in changes.
- Storing module code and versions in Git provides versioning and collaboration.
- Remote state allows infrastructure to be shared between modules and deployments.
Mike Taulty TechDays 2010 Silverlight 4 - What's New?ukdpe
Silverlight 4 is a major release that includes many new features such as support for additional browsers and platforms, improved networking capabilities including sockets support, enhanced data binding and validation, improved media support including offline DRM, and new controls. It also introduces the ability to create trusted out-of-browser applications that have increased desktop integration and access to native capabilities. The release strengthens support for MVVM, adds the Managed Extensibility Framework, and improves WCF RIA Services.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/sept-2018-alliance-vitf-khronos
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.
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This talk describes the scale-out, consistent metadata architecture of Hopsworks and how we use it to support custom metadata and provenance for ML Pipelines with Hopsworks Feature Store, NDB, and ePipe . The talk is here: https://www.youtube.com/watch?v=oPp8PJ9QBnU&feature=emb_logo
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Creating a compelling user experience for any software, without the limitations of APIs.
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seamless data management.
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
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- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Use Cases for MXF Metadata and Simplified System Interaction
1. 2011 ECM-EDM Metadata Hands-on Workshop Use Cases for MXF Metadata and Simplified System Interaction Dieter Van Rijsselbergen www.limecraft.com dieter.vanrijsselbergen@limecraft.com
2. Agenda Limecraft? Our platform Assumptions Our use cases for MXF and its metadata How to obtain/manipulate this metadata in practice SMPTE 434-2006 Wrapping mxflib
3. From ‘Digitisation’ to a ‘Software as a Service’ Limecraft Digital Silos Corporate Systems Corporate Network Media Asset Management enable re-use and collaboration, but expensive seats are used for both demanding and basic editing tasks Digitisation enables increased functionality Limecraft offers a user-friendly platform where seats and storage volumes are available on demand Central Media Asset Mgnt Access via Internet Limecraft Platform Infrastructure
4. Limecraft Platform – Infrastructure Digital Supply Building Blocks Integrated Production Processes Production-Grade Application Platform Image courtesy of CandIT-media Digital Asset Mgnt Media Data Center Solution (network, storage and embedded services)
5. Limecraft – Application Platform Digital Supply Building Blocks Integrated Production Processes Production-Grade Application Platform Digital Asset Mgnt Media Data Center Solution (network, storage and embedded services)
6. Limecraft Platform – User is Key Editorial Consumption Feedback en Opinion Structure of the Content Selection of the Cnotents User-Generated Content Tagging en Markup Production Master Control Post-Production Digital Supply Building Blocks Integrated Production Processes Production-Grade Application Platform Digital Asset Mgnt Media Data Center Solution (network, storage and embedded services)
8. Limecraft Platform – Assumptions File-based production facility Metadata-based production facility Use of manually created metadata Script, run-down, continuity, … Use of automatically generated metadata Segmentation, detection, … cf. ECM SCAIE Service Oriented Architecture?
9. Limecraft Platform – Assumptions Focus Drama, Docu, Magazines, … From concept to multi-channel distribution No historical baggage, no legacy – Good Basically, we’re starting from scratch – Hmm… Must move forward as fast as possible!
10. Metadata Today Talked about metadata Automatic metadata extraction Analyze images/sound and try to deduce metadata post-factum (e.g. camera movement) or that eliminates manual labor (e.g. object detection/tracking) Giving meaning to metadata Define semantics in a standardized way Correlation between heterogeneous metadata sets once their individual meaning is known
11. Metadata Today What about acquisition metadata? about acquisition device e.g., EBU Tech 3349 about recorded essence workflow metadata available directly during/after recording Typically muxed in with the recorded essence container
18. Use cases for MXF metadata Metadata from incoming MXF files Retrieve associated descriptive metadata
19. Use cases for MXF metadata Metadata from incoming MXF files Will ingested MXF files actually contain descriptive metadata in practice? Metadata for MXF/metadata exchanges Add descriptive metadata Descriptive Metadata Scheme-1?
20. Use cases for MXF metadata Add custom descriptive metadata? E..g., Add in a way that it is not dark for everyone else?
21. Use cases for MXF metadata Add custom descriptive metadata? Application Plug-ins in 2009 revision of 377M
22. Use cases for MXF metadata Add custom descriptive metadata? Application Plug-ins in 2009 revision of 377M No custom dictionary support? Foreign objects can be identified, but what about their semantics?? Where do we store the ontology (in-band)? Solution in proposed SMPTE 377-2 – KLV Encoded Extension Syntax?
23. MXF in Practice Most techniques seen today deal with metadata in a high-level representation Think XML (incl. MPEG-7), RDF, … MXF is very much not a format that can be approached at high-level Mostly a container for audiovisual essence Low-level optimizations for speed
24. MXF in Practice - High-level access? SMPTE 434-2006: Material Exchange Format – XML Encoding for Metadata and File Structure Information
25. MXF in Practice - High-level access? SMPTE 434-2006: Material Exchange Format – XML Encoding for Metadata and File Structure Information Lossless representation of MXF Structural/Descriptive/Dark metadata Fully defined by a set of XML Schema docs Use XPath expressions to obtain information Use XLST to transform/format metadata input document
26. MXF in Practice – Full-featured access Usually: MXF => C/C++ Libraries written in C/C++ MXF::SDK, MXFTk, mxflib, … Libraries accessible using C/C++
27. Simplifying MXF Manipulation Start from a C/C++ toolkit Reuse toolkit speed Leverage existing work Use: open source mxflib1 Implement a wrapper to bridge to another language runtime Extend with target language features Target Language Runtime Wrapper mxflib 1http://sourceforge.net/projects/mxflib/
28. A work-in-progress SWIG wrapper for mxflib SWIG typically builds a target runtime extension (DLL/SO) In our case for Ruby Target Language Runtime Wrapper Wrapper Interface Definition: mxflib.i mxflib SWIG 1http://www.swig.org/
29. A work-in-progress SWIG wrapper for mxflib Wrapper takes advantage of target language features E.g., Ruby blocks More productivity! Packages.collect { |p| p.second.GetLink() } .select { |p| p.IsA(SourcePackage_UL) } .each { // do things here... } MDObjectULList::iteratoritPackages = Packages->begin(); while (itPackages!=Packages->end()) { MDObjectPtr Package = (*itPackages).second>GetLink(); if (Package->IsA(SourcePackage_UL)) { // do things here... } itPackages++; }
30. A work-in-progress SWIG wrapper for mxflib Still very much Work in Progress Currently reading metadata Writing must be tested (both wrapper and mxflib) Building on open-source Give the wrapper interface back to the community Limited support for new MXF features in mxflib A way to go until Application Plugin support Maybe the commercial vendors?
31. Conclusions Valid reasons for use of MXF metadata in our production platform workflow Carefully moving towards proper extensibility of MXF (descriptive) metadata SMPTE 434-2006 can get you somewhere Build upon plenty XML tooling available Implementations?? MXF manipulation made easier Avoid C/C++ directly and use higher-level languages