4 ijaems dec-2015-10-realization of astrosat model with fused deposition mode...INFOGAIN PUBLICATION
The current work focuses on the challenges faced while realizing the 3D Model of ASTROSAT using Fused Deposition Modelling (FDM) - A material extrusion based additive manufacturing technology. Initially, the entire assembly of the ASTROSAT was studied and modified appropriately to suit the demonstration model. The modified assembly was scaled down to 1:6 scale. The scaled down model was then re-modified at the local subsystems (or individual component) level, according to the manufacturability through FDM and this was the major challenge faced due to constraint on minimum printable feature size. All the subsystems or individual components were converted to STL format and were printed on FORTUS 400MC of Stratasys. Thus obtained 3D printed parts were assembled as per the assembly drawing. It was found that, the FDM technology and Additive Manufacturing technology as a whole, is very useful in realizing the complicated demonstration modelsin a very short duration, without compromising the prominent engineering features.
This presentation was first given at INFORMS in November 2013. It presents an analysis of the features that had the most impact on MIP solver performance during the last 12 years.
More presentations are available at https://www.ibm.com/developerworks/community/groups/community/DecisionOptimization
Using Grid Technologies in the Cloud for High Scalabilitymabuhr
An unstated assumption is that clouds are scalable. But are they? Stick thousands upon thousands of machines together and there are a lot of potential bottlenecks just waiting to choke off your scalability supply. And if the cloud is scalable what are the chances that your application is really linearly scalable? At 10 machines all may be well. Even at 50 machines the seas look calm. But at 100, 200, or 500 machines all hell might break loose. How do you know?
You know through real life testing. These kinds of tests are brutally hard and complicated. who wants to do all the incredibly precise and difficult work of producing cloud scalability tests? GridDynamics has stepped up to the challenge and has just released their Cloud Performance Reports.
4 ijaems dec-2015-10-realization of astrosat model with fused deposition mode...INFOGAIN PUBLICATION
The current work focuses on the challenges faced while realizing the 3D Model of ASTROSAT using Fused Deposition Modelling (FDM) - A material extrusion based additive manufacturing technology. Initially, the entire assembly of the ASTROSAT was studied and modified appropriately to suit the demonstration model. The modified assembly was scaled down to 1:6 scale. The scaled down model was then re-modified at the local subsystems (or individual component) level, according to the manufacturability through FDM and this was the major challenge faced due to constraint on minimum printable feature size. All the subsystems or individual components were converted to STL format and were printed on FORTUS 400MC of Stratasys. Thus obtained 3D printed parts were assembled as per the assembly drawing. It was found that, the FDM technology and Additive Manufacturing technology as a whole, is very useful in realizing the complicated demonstration modelsin a very short duration, without compromising the prominent engineering features.
This presentation was first given at INFORMS in November 2013. It presents an analysis of the features that had the most impact on MIP solver performance during the last 12 years.
More presentations are available at https://www.ibm.com/developerworks/community/groups/community/DecisionOptimization
Using Grid Technologies in the Cloud for High Scalabilitymabuhr
An unstated assumption is that clouds are scalable. But are they? Stick thousands upon thousands of machines together and there are a lot of potential bottlenecks just waiting to choke off your scalability supply. And if the cloud is scalable what are the chances that your application is really linearly scalable? At 10 machines all may be well. Even at 50 machines the seas look calm. But at 100, 200, or 500 machines all hell might break loose. How do you know?
You know through real life testing. These kinds of tests are brutally hard and complicated. who wants to do all the incredibly precise and difficult work of producing cloud scalability tests? GridDynamics has stepped up to the challenge and has just released their Cloud Performance Reports.
Edge AI Framework for Healthcare ApplicationsDebmalya Biswas
Edge AI enables intelligent solutions to be deployed on edge devices, reducing latency, allowing offline execution, and providing strong privacy guarantees. Unfortunately, achieving efficient and accurate execution of AI algorithms on edge devices, with limited power and computational resources, raises several deployment challenges. Existing solutions are very specific to a hardware platform/vendor. In this work, we present the MATE framework that provides tools to (1) foster model-to-platform adaptations, (2) enable validation of the deployed models proving their alignment with the originals, and (3) empower engineers and architects to do it efficiently using repeated, but rapid development cycles. We finally show the practical utility of the proposal by applying it on a real-life healthcare body-pose estimation app.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/09/explainability-in-computer-vision-a-machine-learning-engineers-overview-a-presentation-from-altaml/
Navaneeth Kamballur Kottayil, Lead Machine Learning Developer at AltaML, presents the “Explainability in Computer Vision: A Machine Learning Engineer’s Overview” tutorial at the May 2021 Embedded Vision Summit.
With the increasing use of deep neural networks in computer vision applications, it has become more difficult for developers to explain how their algorithms work. This can make it difficult to establish trust and confidence among customers and other stakeholders, such as regulators. Lack of explainability also makes it more difficult for developers to improve their solutions.
In this talk, Kottayil introduces methods for enabling explainability in deep-learning-based computer vision solutions. He also illustrates some of these techniques via real-world examples, and shows how they can be used to improve customer trust in computer vision models, to debug computer vision models, to obtain additional insights about data and to detect bias in models.
Thyssenkrupp Tallent - Evolutionary Design in Chassis TechnologyAltair ProductDesign
This paper from Thyssenkrupp Tallent and Altair ProductDesign details the use of the eDICT process for the design of sheet metal chassis components. eDICT (evolutionary design in chassis technology) is an innovative structured process flow for the design of optimal structures. On recent projects eDICT has produced 25% mass reductions compared to the current series design. eDICT is also able to reduce development times and resource with an efficient solution production right from the outset.
Flexible and Scalable Modelling in the MONDO Project: 3 Industrial Case Studi...Alessandra Bagnato
Today, system designs and their management are crucial parts of most systems development processes. To stay competitive engineers from several expertise domains use Model-Based engineering (MBE) to design the systems they intend to implement in order to specify, test, simulate, validate and iterate their design as soon as possible. System designs are living and evolving artefacts this imply to be able to manage them in an efficient and agile way. The MONDO FP7 EU project aims to comprehensively tackle the challenge of scalability in system design and management by developing the theoretical foundations and an open-source implementation of a platform and will offer to Model-Driven Engineering (MDE) users advanced flexibility in their different modeling approaches. This paper describes three different industrial demonstrators and three different modelling approaches that will be utilised to evaluate the capabilities of the MONDO technologies. For each demonstrator the interests of the industrial user partners are described along with their current and desired improvements in technologies to support MBE in a much more flexible way. Specific evaluation scenarios are specified for each of the targeted industrial domains as well.
KIELER is the Kiel Integrated Environment for Layout Eclipse Rich Client. This talk reports about recent developments in the project which enhance graphical modeling (Eclipse GEF/GMF) by execution semantics of models (simulation) and automatic graphical layout.
Transforming Your Business Through Cloud ComputingAMD
AMD Senior Vice President and Chief Information Officer, Mike Wolfe, for offers insight into how AMD is using leading virtualization and cloud computing technologies to transform its business - reducing costs, increasing efficiency and bolstering productivity.
This presentation is from the PBS User Group 2013, as presented by Greg Clifford.
"Cray scalable solutions are optimized for complex simulations, where parallel and massively concurrent applications need access to data, fast. This presentation will cover recent updates from Cray, showing how Cray continues to deliver the largest production supercomputers leveraging Altair PBS Works and HyperWorks software solutions."
Learn more: http://www.altairatc.com/page.aspx?region=na&name=agenda
Watch the presentation video: http://insidehpc.com/2013/10/04/cray-hpc-environments-leading-edge-simulation/
In this lecture I will present a unified Agile process and techniques that allow for a seamless transition from the system engineering level to the SW engineering level in an iterative and evolutionary way. I will also show the benefits the unifying the processes of the two levels and of the resulting component based architecture. I will also talk on the architect’s role and this role evolves over time and will conclude with presenting a small but real life project example.
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)Benoit Combemale
Talk given at the 8th ACM SIGPLAN Int'l Conf. on Software Language Engineering (SLE 2015), Pittsburgh, PA, USA on October 27, 2015. Preprint available at https://hal.inria.fr/hal-01182517
Edge AI Framework for Healthcare ApplicationsDebmalya Biswas
Edge AI enables intelligent solutions to be deployed on edge devices, reducing latency, allowing offline execution, and providing strong privacy guarantees. Unfortunately, achieving efficient and accurate execution of AI algorithms on edge devices, with limited power and computational resources, raises several deployment challenges. Existing solutions are very specific to a hardware platform/vendor. In this work, we present the MATE framework that provides tools to (1) foster model-to-platform adaptations, (2) enable validation of the deployed models proving their alignment with the originals, and (3) empower engineers and architects to do it efficiently using repeated, but rapid development cycles. We finally show the practical utility of the proposal by applying it on a real-life healthcare body-pose estimation app.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/09/explainability-in-computer-vision-a-machine-learning-engineers-overview-a-presentation-from-altaml/
Navaneeth Kamballur Kottayil, Lead Machine Learning Developer at AltaML, presents the “Explainability in Computer Vision: A Machine Learning Engineer’s Overview” tutorial at the May 2021 Embedded Vision Summit.
With the increasing use of deep neural networks in computer vision applications, it has become more difficult for developers to explain how their algorithms work. This can make it difficult to establish trust and confidence among customers and other stakeholders, such as regulators. Lack of explainability also makes it more difficult for developers to improve their solutions.
In this talk, Kottayil introduces methods for enabling explainability in deep-learning-based computer vision solutions. He also illustrates some of these techniques via real-world examples, and shows how they can be used to improve customer trust in computer vision models, to debug computer vision models, to obtain additional insights about data and to detect bias in models.
Thyssenkrupp Tallent - Evolutionary Design in Chassis TechnologyAltair ProductDesign
This paper from Thyssenkrupp Tallent and Altair ProductDesign details the use of the eDICT process for the design of sheet metal chassis components. eDICT (evolutionary design in chassis technology) is an innovative structured process flow for the design of optimal structures. On recent projects eDICT has produced 25% mass reductions compared to the current series design. eDICT is also able to reduce development times and resource with an efficient solution production right from the outset.
Flexible and Scalable Modelling in the MONDO Project: 3 Industrial Case Studi...Alessandra Bagnato
Today, system designs and their management are crucial parts of most systems development processes. To stay competitive engineers from several expertise domains use Model-Based engineering (MBE) to design the systems they intend to implement in order to specify, test, simulate, validate and iterate their design as soon as possible. System designs are living and evolving artefacts this imply to be able to manage them in an efficient and agile way. The MONDO FP7 EU project aims to comprehensively tackle the challenge of scalability in system design and management by developing the theoretical foundations and an open-source implementation of a platform and will offer to Model-Driven Engineering (MDE) users advanced flexibility in their different modeling approaches. This paper describes three different industrial demonstrators and three different modelling approaches that will be utilised to evaluate the capabilities of the MONDO technologies. For each demonstrator the interests of the industrial user partners are described along with their current and desired improvements in technologies to support MBE in a much more flexible way. Specific evaluation scenarios are specified for each of the targeted industrial domains as well.
KIELER is the Kiel Integrated Environment for Layout Eclipse Rich Client. This talk reports about recent developments in the project which enhance graphical modeling (Eclipse GEF/GMF) by execution semantics of models (simulation) and automatic graphical layout.
Transforming Your Business Through Cloud ComputingAMD
AMD Senior Vice President and Chief Information Officer, Mike Wolfe, for offers insight into how AMD is using leading virtualization and cloud computing technologies to transform its business - reducing costs, increasing efficiency and bolstering productivity.
This presentation is from the PBS User Group 2013, as presented by Greg Clifford.
"Cray scalable solutions are optimized for complex simulations, where parallel and massively concurrent applications need access to data, fast. This presentation will cover recent updates from Cray, showing how Cray continues to deliver the largest production supercomputers leveraging Altair PBS Works and HyperWorks software solutions."
Learn more: http://www.altairatc.com/page.aspx?region=na&name=agenda
Watch the presentation video: http://insidehpc.com/2013/10/04/cray-hpc-environments-leading-edge-simulation/
In this lecture I will present a unified Agile process and techniques that allow for a seamless transition from the system engineering level to the SW engineering level in an iterative and evolutionary way. I will also show the benefits the unifying the processes of the two levels and of the resulting component based architecture. I will also talk on the architect’s role and this role evolves over time and will conclude with presenting a small but real life project example.
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)Benoit Combemale
Talk given at the 8th ACM SIGPLAN Int'l Conf. on Software Language Engineering (SLE 2015), Pittsburgh, PA, USA on October 27, 2015. Preprint available at https://hal.inria.fr/hal-01182517
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
25. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
. Performance Comparison with production system
Figure: DistrubutedGrep on Hadoop and Ciel
. . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 18/23
26. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
. Perfomance of Iterative Algorithm
Figure: K-means on Hadoop and Ciel with 20 workers
. . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 19/23
27. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
. Overheads
Figure: Speedup of Binomial Options Pricing Model on 47 workers
. . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 20/23
28. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
. Future Work
Integrate CIEL with existing programming languages
Partition master state
Explore use of multiple cores (see [5])
Explore use of non-deterministic parallelism (see [3])
. . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 21/23
29. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
. Conclusions
CIEL[4, 1] and Skywriting[2]
are not good for:
sharing large amounts of
data
fine-grain parallelization
fully automatic parallelism
relation algebra environment
distributed operating system
. . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 22/23
30. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
. Conclusions
CIEL[4, 1] and Skywriting[2]
are not good for: are really good for :
sharing large amounts of writing iterative algorithms
data data-dependent control flow
fine-grain parallelization using dynamic task graphs
fully automatic parallelism transparent fault tolerance
relation algebra environment and automatic distribution
distributed operating system scaling across hundreds of
machines
. . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 22/23
31. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
. Conclusions
CIEL[4, 1] and Skywriting[2]
are not good for: are really good for :
sharing large amounts of writing iterative algorithms
data data-dependent control flow
fine-grain parallelization using dynamic task graphs
fully automatic parallelism transparent fault tolerance
relation algebra environment and automatic distribution
distributed operating system scaling across hundreds of
machines
Questions ?
. . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 22/23
32. Motivation
CIEL Evaluation
Skywriting Future Work
Optimizations & Fault Tolerance Conclusions
Evaluation & Future work
.
[1] D.G. Murray.
A distributed execution engine supporting data-dependent control flow.
PhD thesis, PhD thesis, Univ. of Cambridge, 2011.
[2] D.G. Murray and S. Hand.
Scripting the cloud with skywriting.
In Proceedings of the 2nd USENIX conference on Hot topics in cloud
computing, pages 12–12. USENIX Association, 2010.
[3] D.G. Murray and S. Hand.
Non-deterministic parallelism considered useful.
In HotOS XIII, 13th Workshop on Hot Topics in Operating Systems,
2011.
[4] D.G. Murray, M. Schwarzkopf, C. Smowton, S. Smith, A. Madhavapeddy,
and S. Hand.
Ciel: a universal execution engine for distributed data-flow computing.
In Proceedings of the 8th USENIX conference on Networked systems
design and implementation, page 9. USENIX Association, 2011.
[5] M. Schwarzkopf, D.G. Murray, and S. Hand.
Condensing the cloud: running ciel on many-core.
. Proceedings of EuroSys SFMA, 2011. . . . . . .
Presenter: Emmanouil Dimogerontakis @{AdvDS} CIEL universal distributed execution engine 23/23