Correlation of simulation_models_using_concept_modelingSalvatore Scalera
Pre-requisite for efficient vehicle programs is the CAE driven development process. The accuracy of the models increases over time and leads to an increasing amount of available Concept models in databases. Due to the
increased acceleration of the development process, these models are critical in providing direction on vehicle architecture in the early stages of a program.
Due to the high importance of these decisions it is mandatory to trust the results of this early CAE models. Correlation of this Concept models to test or
reference mainstream CAE models creates the confidence in this approach. The correlation focuses on two aspects: 1. the level of detail required to capture
the detailed folding characteristic of the structure (e.g. siderail or B-Pillar) and 2. the process chain used to process the raw output from SFE Concept into
RADIOSS Include files (e.g. gap, contacts, spot-welding, adhesives, bolts). This process chain is implemented using HyperMesh in batch mode, details may
be found in [4]. This process chain is tuned to latest program modeling approaches and to meet the desired correlation status.
In this presentation RADIOSS safety concept models are correlated to different impact modes. Tools and methods are explained focusing on both the
automated evaluation of simulation output and the judgment of the correlation quality.
NVIDIA engineers will talk about the latest OpenGL API features for programmable GPUs. This session will cover the “hows, whys, and whens” of programming the fourth generation shader hardware. It will match detailed information on the API with practical examples. Topics covered will include geometry shaders, transformation feedback, instancing, and advanced texture formats.
Rapid Software Communications Architecture (SCA) Development for DSPs with Sp...ADLINK Technology IoT
These PrismTech slides will show how new features in Spectra CX enable the rapid design, implementation and deployment of a Software Defined Radio (SDR) Software Communications Architecture (SCA) resource targeting TI DSPs.
Correlation of simulation_models_using_concept_modelingSalvatore Scalera
Pre-requisite for efficient vehicle programs is the CAE driven development process. The accuracy of the models increases over time and leads to an increasing amount of available Concept models in databases. Due to the
increased acceleration of the development process, these models are critical in providing direction on vehicle architecture in the early stages of a program.
Due to the high importance of these decisions it is mandatory to trust the results of this early CAE models. Correlation of this Concept models to test or
reference mainstream CAE models creates the confidence in this approach. The correlation focuses on two aspects: 1. the level of detail required to capture
the detailed folding characteristic of the structure (e.g. siderail or B-Pillar) and 2. the process chain used to process the raw output from SFE Concept into
RADIOSS Include files (e.g. gap, contacts, spot-welding, adhesives, bolts). This process chain is implemented using HyperMesh in batch mode, details may
be found in [4]. This process chain is tuned to latest program modeling approaches and to meet the desired correlation status.
In this presentation RADIOSS safety concept models are correlated to different impact modes. Tools and methods are explained focusing on both the
automated evaluation of simulation output and the judgment of the correlation quality.
NVIDIA engineers will talk about the latest OpenGL API features for programmable GPUs. This session will cover the “hows, whys, and whens” of programming the fourth generation shader hardware. It will match detailed information on the API with practical examples. Topics covered will include geometry shaders, transformation feedback, instancing, and advanced texture formats.
Rapid Software Communications Architecture (SCA) Development for DSPs with Sp...ADLINK Technology IoT
These PrismTech slides will show how new features in Spectra CX enable the rapid design, implementation and deployment of a Software Defined Radio (SDR) Software Communications Architecture (SCA) resource targeting TI DSPs.
Debconf14 : Putting some salt in your Debian systems -- Julien CristauLogilab
Salt allows scalable infrastructure management, including provisioning new systems and managing them over their lifetime. In this talk I'll show how it makes managing Debian systems easier.
Presentation by Nicolas Chauvat at "Fabrique de la Loi" 2014 (Open Legislative Data Conference)
Mirror of http://www.logilab.org/file/253393/raw/OLDC2014-chauvat.pdf
Blog entry : http://www.logilab.org/blogentry/253397
Scikits.learn (http://scikit-learn.sourceforge.net/) is a scikit for machine learning which has gained lots of popularity in recent months. In particular, it can be used for text and large scale database mining.
On another side, CubicWeb (http://www.cubicweb.org/) is a python-based framework for semantic web applications that has been used in different application fields (library, museum, conference, intranet applications).
The aim of this talk is to present how these tools can be used together for semantic data mining of rss feeds (clustering, prediction), and for building a news aggregator similar to google news.
Full description : http://www.euroscipy.org/talk/4291
BRAINOMICS A management system for exploring and merging heterogeneous brain ...Logilab
"BRAINOMICS A management system for exploring and merging heterogeneous brain mapping data based on CubicWeb" by Vincent Michel - CrEDIBLE 2013 - 3/10/2013
https://www.eventbrite.co.uk/e/planning-for-success-tickets-15455989280 find out why traditional business plans don't work and why the Engine of Growth approach does
Olivier Cayrol a présenté la société Logilab et ses services à l'occasion de la Semaine de l'Industrie.
Logilab : un industriel du logiciel
- développement
- conseil
- formation
- expertise
Getting more done with others over whom you have no control may be the most important skill to develop.
The steps in the Team Orientation Process are proven to give a group of people the best chance of coming together as a high performance team.
Accomplish each step in dialog among team members.
The same list has been found to be worth re-visiting any time a team has lost energy or direction and needs re-orienting.
This is the PowerPoint presentation on the topic "Peephole Optimization". This presentation covers the entire topic of peephole optimization.
This PowerPoint presentation is of Compiler Design.
Openstack in action2! Automate and accelerate Cloud deployments with Dell Cro...eNovance
OpenStack in action 2! Production ready 31/05/12
"Automate and accelerate Cloud deployments with Dell Crowbar" by Taco Scargo, EMEA Enterprise Technologist, Web Technology & Cloud solutions, Dell
Debconf14 : Putting some salt in your Debian systems -- Julien CristauLogilab
Salt allows scalable infrastructure management, including provisioning new systems and managing them over their lifetime. In this talk I'll show how it makes managing Debian systems easier.
Presentation by Nicolas Chauvat at "Fabrique de la Loi" 2014 (Open Legislative Data Conference)
Mirror of http://www.logilab.org/file/253393/raw/OLDC2014-chauvat.pdf
Blog entry : http://www.logilab.org/blogentry/253397
Scikits.learn (http://scikit-learn.sourceforge.net/) is a scikit for machine learning which has gained lots of popularity in recent months. In particular, it can be used for text and large scale database mining.
On another side, CubicWeb (http://www.cubicweb.org/) is a python-based framework for semantic web applications that has been used in different application fields (library, museum, conference, intranet applications).
The aim of this talk is to present how these tools can be used together for semantic data mining of rss feeds (clustering, prediction), and for building a news aggregator similar to google news.
Full description : http://www.euroscipy.org/talk/4291
BRAINOMICS A management system for exploring and merging heterogeneous brain ...Logilab
"BRAINOMICS A management system for exploring and merging heterogeneous brain mapping data based on CubicWeb" by Vincent Michel - CrEDIBLE 2013 - 3/10/2013
https://www.eventbrite.co.uk/e/planning-for-success-tickets-15455989280 find out why traditional business plans don't work and why the Engine of Growth approach does
Olivier Cayrol a présenté la société Logilab et ses services à l'occasion de la Semaine de l'Industrie.
Logilab : un industriel du logiciel
- développement
- conseil
- formation
- expertise
Getting more done with others over whom you have no control may be the most important skill to develop.
The steps in the Team Orientation Process are proven to give a group of people the best chance of coming together as a high performance team.
Accomplish each step in dialog among team members.
The same list has been found to be worth re-visiting any time a team has lost energy or direction and needs re-orienting.
This is the PowerPoint presentation on the topic "Peephole Optimization". This presentation covers the entire topic of peephole optimization.
This PowerPoint presentation is of Compiler Design.
Openstack in action2! Automate and accelerate Cloud deployments with Dell Cro...eNovance
OpenStack in action 2! Production ready 31/05/12
"Automate and accelerate Cloud deployments with Dell Crowbar" by Taco Scargo, EMEA Enterprise Technologist, Web Technology & Cloud solutions, Dell
Hadoop World 2011: Proven Tools to Manage Hadoop Environments - Joey Jablonsk...Cloudera, Inc.
This session will answer frequently asked questions about Hadoop, and share proven ways you can overcome challenges in deploying, managing, and tuning Hadoop environments. The discussion topics will include Hadoop operations, configuration management, upgrades and lifecycle management, monitoring and managing power and heat, and Hadoop performance tuning, testing, and optimization. The presenters will also discuss how rapid Hadoop deployment makes life easier for administrators, and talk about Crowbar, an open source Operations Framework.
Slides for my talk at the OSGi Community Event / Eclipse Con Europe 2012.
See http://www.eclipsecon.org/europe2012/sessions/universal-declarative-services for abstract.
Open Source & Open Data : les bienfaits des communsLogilab
Le monde du logiciel a été précurseur en réintroduisant un mode de production "coopératif" dès le début des années 80.
Avec le mouvement de l'Open Data, cette coopération s'est étendue à la production des données.
On parle ici de biens communs dans le sens d'un "bien partagé par les membres d'une même communauté".
Le 1er salon professionnel de l'open data qui vise à consolider la filière française des données ouvertes. Ce salon valorise les acteurs positionnés sur l'open data et assure l'information des participants à travers des retours d'expériences, conférences stratégiques, ateliers pratiques et mises en relations directe avec les prestataires et ceux qui font l'open data aujourd'hui en France.
Pydata Paris Python for manufacturing musical instrumentsLogilab
Pydata Paris Python for manufacturing musical instruments.
Context: making and repair of musical instruments.
Assets: traditional craftsmanship ; world-famous quality
Challenge: aggressive competition from foreign countries
Les archives du département de la Gironde, de la Ville de Bordeaux et de la Métropole de Bordeaux ont mis en place un système d'archivage mutualisé leur permettant de gérer leurs documents tout au long de leur cycle de vie, depuis leur conception initiale jusqu'à leur archivage. Ce système repose sur diverses applications logiciel libre prenant chacune en charge une partie du cycle de vie des documents (Alfresco pour la GED courante, Asalae pour l'archivage, etc.)
Dans le cadre de ce système, lors du passage d'un outil à l'autre, un grand nombre de métadonnées sont perdues et doivent donc être ressaisies. D'où l'idée de mettre en place un référentiel commun qui va constituer un pivot sur lequel s'appuient les autres outils, et qui va conserver et enrichir les métadonnées d'un document tout au long de son cycle de vie, au fil de ses passages d'une application à l'autre. Ces métadonnées sont, par exemple, le rangement dans des
plans de classement, les agents étant intervenus sur le document, les étapes du processus de validation, etc.)
Dans le cadre d'un marché public, Logilab développe le référentiel commun du système d'archivage pour le compte du Conseil Départemental de la Gironde, de la Métropole de Bordeaux et de la Ville de Bordeaux.
La présentation présente l'outil logiciel libre qui a vocation à être partagé avec d'autres institutions rencontrant une problématique similaire, mais également de revenir sur le projet lui-meme qui implique de nombreux acteurs et a été géré avec une méthode agile et divers outils innovants (MVP, UX Design, etc.)
Voir http://saem.e-bordeaux.org/projet-module-r%C3%A9f%C3%A9rentiel pour plus de détails.
Utiliser salt pour tester son infrastructure sur open stack ou dockerLogilab
Vous pouvez accéder à cette présentation sur ce lien : http://slides.logilab.fr/2015/poss2015_salt-docker/#/
Configurer et orchestrer son infrastructure avec un outil de gestion de configuration centralisée tel que Salt comporte de nombreux avantages.
La conservation et l'historisation des fichers de configuration dans un entrepôt de source geré par un DVCS (mercurial ou git) en fait partie.
Salt permet ensuite de faire évoluer son infrastructure en la testant dans des environements isolés. Une fois la description complète, reproduire une partie de son infrastructure de production sur un environnement virtualisé tel qu'un cloud
privé (OpenStack) devient possible et automatisable avec
*salt-cloud*. L'étape suivante est de pouvoir reproduire des portions de son infrastructure dans des conteneurs légers tels que docker ou lxc directement sur son portable. Pour cela, le pilotage de docker par salt et les fonctionnalités d'orchestration de salt permettent une agilité sans précédent.
Il s'agit d'un bon complément pour le TDI : Test Driven Infrastructure. L'infrastructure est testée en mode "intégration continue" et on peut tester et débugger une partie de l'infrastructure en mode "bac à sable".
Ce modèle peut ensuite être décliné avec l'utilisation des branches dans git ou mercurial où certaines branches vont être appliquées à la partie production de l'infrastructure alors que d'autres sont appliqués a la préproduction ou aux environnements docker ou lxc en local.
Salt est un outil de gestion de configuration centralisé généralement utilisé pour configurer et orchestrer son infrastructure système en bénéficiant de la conservation et de l'historisation des fichiers de configuration dans un entrepôt source géré par mercurial ou git. Toutefois, les possibilités offertes par Salt vont beaucoup plus loin. Une fois la description Salt de l'infrastructure de production terminée, il est possible d'en reproduire automatiquement tout ou partie
avec salt-cloud dans un environnement virtualisé (cloud privé OpenStack) et ainsi de pouvoir mener des tests. En allant plus loin, il est possible de reproduire des portions d'infrastructure dans des conteneurs légers (docker, lxc) et de travailler directement sur son ordinateur portable.
Les fonctionnalités d'orchestration de Salt et son pilotage de docker amènent une agilité sans précédent dans ce processus de travail.
Dans le modèle décrit ci-dessus, excellent complément du TDI (Test-Driven Infrastructure), l'infrastructure est testée et déboguée en mode "bac à sable" puis déployée selon un mécanisme automatisé d'intégration continue. Le modèle peut être décliné en utilisant des branches dans l’entrepôt source de Salt et en choisissant quelles branches sont appliquées
à l'infrastructure en production, en pré-production ou en test dans les environnements locaux (docker, lxc). Des mécanismes de relecture et de validation peuvent alors être mis en œuvre.
Importer des données en Python avec CubicWeb 3.21Logilab
Slides en version HTML : http://slides.logilab.fr/2015/pyconfr2015_import_donnees_cubicweb/
Nous introduirons une nouvelle méthode pour importer des données externes (service REST, fichier, etc.) dans une application. Simple et flexible, elle favorise la réutilisation des composants afin de se concentrer sur ce qui est spécifique à chaque cas. Un exemple d'implémentation sera donné avec le framework CubicWeb 3.21 qui introduit une API d'import de données fondée sur cette méthode.
Abstract
Il est courant pour un développeur de devoir implémenter des fonctionnalités d'import de données. Les utilisateurs peuvent en effet avoir besoin de données disponibles par ailleurs, dans un tableur par exemple, dans une autre base, ou accessibles par des services web. Nous introduisons ici une méthode simple pour réaliser cela en favorisant la généricité et la ré-utilisabilité des composants développés.
Un flux personnalisable d'entités
L'idée est de transformer petit à petit les données externes afin de les rendre compatibles avec le schéma de l'application et donc insérables en base.
Le principe est de commencer par stocker les données de la source sur une «[HTML_REMOVED]entité externe[HTML_REMOVED]». Puis on utilise des générateurs Python pour créer un «[HTML_REMOVED]flux[HTML_REMOVED]» d'entités[HTML_REMOVED]: chaque entité passe de fonction en fonction, ce qui va la transformer peu à peu pour la rapprocher du modèle attendu et qu'elle soit finalement prête à être insérée, ou au contraire rejetée si ce n'est pas possible.
L'étape d'insertion est alors identique, quelle que soit la source d'où proviennent les données.
Exemple avec CubicWeb 3.21
Avec sa version 3.21 sortie en 2015, le framework CubicWeb dispose d'une toute nouvelle API fondée sur cette méthode. Elle permet au développeur de se concentrer sur le flux de données provenant des sources qui l'intéressent.
De plus, l'étape d'insertion offre plusieurs composants interchangeables. En fonction du compromis qu'il souhaite faire entre sécurité et rapidité, le développeur peut choisir entre une insertion sûre mais lente, où chaque entité à insérer est préalablement vérifiée quant au type de ses données et la validité de ses relations, et une insertion plus rapide mais pouvant échouer, où les entités sont insérées en masse.
Tout cela sera illustré par le moissonnage des données de portails Open Data. La diversité des formats (RDF (open-data.europa.eu), REST (data.gouv.fr, OpenDataSoft), CSW (geocatalogue.fr), etc.) ainsi que des modèles de données impose de créer des flux différents afin que toutes ces données puissent être importées dans un schéma unique de CubicWeb.
De la même façon, un autre exemple sera l'import de données SKOS où des thesaurus entiers sont importés dans CubicWeb grâce à cette API.
Simulagora, met la simulation numérique à la portée de tous !
Simulagora est un service Web de simulation numérique dans le cloud permettant la réalisation de calculs d'envergure sans investissement :
- pas de matériel dédié : une connexion à Internet suffit,
- pas de connaissances poussées en informatique : les principaux codes de calcul libres sont pré-installés,
- pas d'investissement financier : le paiement se fait à l'usage.
Simulagora donne accès à la puissance quasi-illimitée des nuages publics :
- lancez vos calculs exigeants sur des machines ayant jusqu'à 32 CPU et 120 Go RAM,
- obtenez le résultat de vos études paramétriques en un temps record en utilisant plusieurs centaines de machines simultanément.
Simulagora n'est pas un service d'exécution de calcul comme les autres :
- il s'insère dans vos processus actuels (script, terminal, interface Web),
- il enregistre l'historique de vos calculs pour assurer leur capitalisation et leur traçabilité,
- il garantit la reproductibilité de vos calculs, en conservant une copie de la machine virtuelle sur laquelle ils ont été exécutés,
- son interface Web permet une collaboration entre les différents experts pour mener à bien vos études numériques les plus pointues.
Simulagora est un produit de Logilab qui, depuis 15 ans, met les technologies du Web au service de l'informatique scientifique.
Simulagora, sets numerical simulation available to all!
Simulagora is a cloud-based numerical simulation service which allows computations without any up-front investment:
- No dedicated hardware: only an Internet connection is needed
- No advanced IT knowledge: major free software packages are pre-installed and ready-to-use
- No financial investment: pay only for used resources.
Simulagora provides access to the virtually unlimited power of public clouds:
- Start your complex computations on machines with up to 32 CPUs and 120GB of RAM
- Get the results of your parametric studies in record time using hundreds of machines simultaneously.
Simulagora is a one-of-a-kind computation execution service:
- Easy to fit into your existing processes (scripts, terminal applications, Web interface)
- Saves your computations history to ensure their traceability and maximize their capitalization
- Guarantees the reproducibility of your computations by keeping a copy of the virtual machines on which they ran
- Enables collaboration among experts using the Web interface to carry out your most precise digital studies.
Simulagora is a service built by Logilab, a 15-year veteran of Web technologies for scientific computing.
Innover par et pour la donnée - Logilab ADBU Bibcamp 2015Logilab
Innover par et pour la donnée, illustrée par l'exemple de data.bnf.fr et les principes du web sémantique.
Présentation de Logilab au #bibcamp15 organisé en juin 2015 par l'ADBU, association des directeurs de bibliothèques universitaires.
Study of the dynamic behavior of a pump with Code_ASTER on SimulagoraLogilab
Simulagora is a platform using Web technology to ease grid
computation by leveraging cloud resources.
Public cloud based
– Computation and storage resources
– Enormous power
– Super-fast computation resources ramp-up
Support de présentation lors de notre participation au "Battle" organisé par LibertTIC et DataLab à la ruche numérique du Mans.
Version PDF : http://www.logilab.fr/file/2221/raw/Battle%20Opendata.pdf
L'autre poster présenté par Logilab concerne Simulagora, un service en ligne de simulation numérique collaborative, qui permet de lancer des calculs dans les nuages (donc sans investissement dans du matériel ou d'administration système), qui met l'accent sur la traçabilité et la reproductibilité des calculs, ainsi que sur le travail collaboratif (partage de logiciel, de données et d'études numériques complètes).
Logilab was part of the research project PAFI (Plateforme d'Aide à la Facture Instrumentale) and developed an innovative web app, using CubicWeb, to facilitate the virtual prototyping of musical instruments and collaborative work between makers, users and museum curators.
Paris, le 7 février 2013 – Etalab, qui coordonne l’action des services de l’Etat et de ses
établissements publics pour faciliter la réutilisation la plus large possible de leurs informations
publiques, organise le concours Dataconnexions, lequel vient de récompenser CubicWeb, une plate-forme libre de développement pour le web sémantique, qui a été initiée par Logilab.
Ce concept permet aux développeurs de découvrir la réécriture d'historique de manière simple et sûre. Les utilisateurs avancés ont accès de leur côté à des processus de travail et de revue encore inédits dans le monde des DVCS.
http://www.logilab.org/blogentry/113067
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
Team Developpement with Mercurial - april 2011
1. The issue
Solutions
Basic operation
Implementation Details
Use case
Team Developpement With Mercurial
April 29, 2011
Team Developpement With Mercurial
2. The issue
Solutions
Basic operation
Implementation Details
Use case
Past vs present
Past: immutable = liquid
Present: mutable = frozen
History: Past + present
Team Developpement With Mercurial
3. The issue
Solutions
Basic operation
Implementation Details
Use case
Why clean history:
easy to read
Review process
hg annotate
easy to process
hg bisect
hg annote
Continuous Integration tools
Changeset
From valid state to valid state.
Atomic
As small as possible
Team Developpement With Mercurial
4. The issue
Solutions
Basic operation
Implementation Details
Use case
clean history
Errare humanum est won’t make it right.
Iterative
Collaborative
Multiple task in Parallel
tool: Version control System (distributed)
Team Developpement With Mercurial
5. The issue
Solutions
Basic operation
Implementation Details
Use case
Partial Solutions exist
rebase and histedit
limited
hard to share
hard get older version
mq
overlay: (unknown by core and extension)
limited: (queue only)
fragile: (no transaction, reject, .hg/patches consistency)
break rules: (truncate revlog)
Team Developpement With Mercurial
6. The issue
Solutions
Basic operation
Implementation Details
Use case
The full solution
DVCS trace changes to set of files,
Must trace changes to changesets.
A is updated as A’
A
Aʼ
A and B are merged as C
A
B
A+B
Need to snapshot the whole set of files, but there is no such thing
as a consistent state for the set of heads of a tree.
Changeset are distinct from each other
Team Developpement With Mercurial
7. The issue
Solutions
Basic operation
Implementation Details
Use case
Insert
characters: abc -> aXbc
lines: abc abc
ghi -> def
ghi
CHunks: adding a chunk to a changeset
changeset: o C
o C |
| o B
o B |
| -> o D
o A |
| o A
- |
-
Team Developpement With Mercurial
8. The issue
Solutions
Basic operation
Implementation Details
Use case
Delete
characters: abc -> ac
lines: abc abc
def -> ghi
ghi
CHunks: remove chunk from a changeset
changeset: o C
| o C
o B |
| -> o A
o A |
| -
-
Team Developpement With Mercurial
9. The issue
Solutions
Basic operation
Implementation Details
Use case
Modify
characters: abc -> adc
lines: abc abc
def -> jkl
ghi ghi
CHunks: modify a chunk in a changeset
changeset: o C
| o C
o B |
| -> o A
o A |
| -
-
Team Developpement With Mercurial
10. The issue
Solutions
Basic operation
Implementation Details
Use case
Copy
characters: abc -> abac
lines: abc abc
def -> def
abc
ghi ghi
CHunks: N/A
changeset: o cherry pick of C
|
o C o | C
| | |
| o B | o B
| | -> | |
o | A o | A
|/ |/
Team Developpement With Mercurial
11. The issue
Solutions
Basic operation
Implementation Details
Use case
Move
characters: abc -> bac
lines: abc def
def -> abc
ghi ghi
CHunks: N/A
changeset: o C o C
| |
o B o A
| -> |
o A o B
| |
- -
Team Developpement With Mercurial
12. The issue
Solutions
Basic operation
Implementation Details
Use case
Join
characters: N/A
lines: abcn -> abcdefn
defn ghin
ghin
CHunks: N/A
changeset: o C
| o C
o B |
| -> o A+B
o A |
| -
-
Team Developpement With Mercurial
13. The issue
Solutions
Basic operation
Implementation Details
Use case
Split
characters: N/A
lines: abcdefn -> abcn
ghin defn
ghin
CHunks: N/A
changeset: o C
o C |
| o B
o A+B -> |
| o A
- |
-
Team Developpement With Mercurial
14. The issue
Solutions
Basic operation
Implementation Details
Use case
Move Boundary
characters: N/A
lines: abcn -> abcdn
defn efn
ghin ghin
CHunks: N/A
changeset: o C o B+C
| |
o A+B -> o A
| |
- -
Team Developpement With Mercurial
15. The issue
Solutions
Basic operation
Implementation Details
Use case
sum up
Insert
Delete
Modify
Copy
Move
Join
Split
Move Boundary
Team Developpement With Mercurial
16. The issue
Solutions
Basic operation
Implementation Details
Use case
Proposed solution
create new changeset as usual,
New type of relation between changeset
update
delete
split
merge
(copy)
We can detect
obsolete changeset
conflicting changeset
Out of sync changeset
Team Developpement With Mercurial
17. The issue
Solutions
Basic operation
Implementation Details
Use case
Core change
It’s Necessary to :
Alter existing command to hide obsolete changeset,
Add new command to recognise//solve out-of-sync and
conflicting changeset,
It’s recommended to have:
Light weight changeset,
Garbage collection.
Team Developpement With Mercurial
18. The issue
Solutions
Basic operation
Implementation Details
Use case
Extensions change
Do not alter Frozen changeset
Add relevant link on edit
Define hooks to update they internal state
Team Developpement With Mercurial
19. The issue
Solutions
Basic operation
Implementation Details
Use case
Simple iterative work
D
C Cʼ Cʼʼ E
D
B Bʼ Aʼ
C C Cʼ C Cʼ Cʼʼ
A Bʼʼ
B B Bʼ B Bʼ Aʼ
A A A ΩB
Bʼʼ
Team Developpement With Mercurial
20. The issue
Solutions
Basic operation
Implementation Details
Use case
Feature that need a bug fix
F
B Bʼ
F
B
F Fʼ F Fʼ F Fʼ Fʼʼ
B B Bʼ B Bʼ
Team Developpement With Mercurial
21. The issue
Solutions
Basic operation
Implementation Details
Use case
Multiple people working on the same thing
Aʼ
A
Aʼʼ
A Aʼʼ Aʼ
A Aʼʼ Aʼ
A
Aʼʼ
A
Team Developpement With Mercurial
22. The issue
Solutions
Basic operation
Implementation Details
Use case
People have works base on unwanted changeset
B
A
A
B
A A Bʼ
A
Team Developpement With Mercurial