The investigations described here are related to the unstable behavior of crash-results due to minor changes in the model. As an outcome the received crash-results become in some way unpredictable and the causes can be various, e.g. modeling failure, contact issues, numerical instabilities, physical instabilities, etc.
To identify and separate these scatter sources the results are analyzed by means of visualizing the standard deviation of scatter itself and computing scatter modes for selected parts of interest. These computations are based on the principle component analysis (PCA), a dimension reduction technique. Afterwards, new virtual crash results representing the most extreme values of these modes are computed and help identifying the original reasons which cause the scatter. Then correction can be applied resulting in substantial reduction of the original scatter.
Luigi Giubbolini | 2D Image Fuzzy Deconvolution and Scattering Centre DetectionLuigi Giubbolini
A new innovative technique based on fuzzy deconvolution for scattering centre detection (F-SCD) is proposed together with its implementation in FPGA for real-time deployment in UAV and automotive collision avoidance application.
Structured Illumination Microscopy - Fundamentals and ApplicationsRafael Camacho Dejay
Introductory lecture to Structured Illumination Microscopy. This lecture was part of the cellular imaging PhD course given by the Centre for Cellular Imaging of The University of Gothenburg.
Build Your Own 3D Scanner: Surface ReconstructionDouglas Lanman
Build Your Own 3D Scanner:
Surface Reconstruction
http://mesh.brown.edu/byo3d/
SIGGRAPH 2009 Courses
Douglas Lanman and Gabriel Taubin
This course provides a beginner with the necessary mathematics, software, and practical details to leverage projector-camera systems in their own 3D scanning projects. An example-driven approach is used throughout; each new concept is illustrated using a practical scanner implemented with off-the-shelf parts. The course concludes by detailing how these new approaches are used in rapid prototyping, entertainment, cultural heritage, and web-based applications.
Luigi Giubbolini | 2D Image Fuzzy Deconvolution and Scattering Centre DetectionLuigi Giubbolini
A new innovative technique based on fuzzy deconvolution for scattering centre detection (F-SCD) is proposed together with its implementation in FPGA for real-time deployment in UAV and automotive collision avoidance application.
Structured Illumination Microscopy - Fundamentals and ApplicationsRafael Camacho Dejay
Introductory lecture to Structured Illumination Microscopy. This lecture was part of the cellular imaging PhD course given by the Centre for Cellular Imaging of The University of Gothenburg.
Build Your Own 3D Scanner: Surface ReconstructionDouglas Lanman
Build Your Own 3D Scanner:
Surface Reconstruction
http://mesh.brown.edu/byo3d/
SIGGRAPH 2009 Courses
Douglas Lanman and Gabriel Taubin
This course provides a beginner with the necessary mathematics, software, and practical details to leverage projector-camera systems in their own 3D scanning projects. An example-driven approach is used throughout; each new concept is illustrated using a practical scanner implemented with off-the-shelf parts. The course concludes by detailing how these new approaches are used in rapid prototyping, entertainment, cultural heritage, and web-based applications.
Introduction : Basic Feature of an Automobile
Car Body Details
Types of Vehicle
Body Engineering Terminology
Morphology of Vehicle Body ( Structural ) Design
Design Considerations
Feature Matching using SIFT algorithm; co-authored presentation on Photogrammetry studio by Sajid Pareeth, Gabriel Vincent Sanya, Sonam Tashi and Michael Mutale
This paper advances the Domain Segmentation based on Uncertainty in the Surrogate (DSUS) framework which is a novel approach to characterize the uncertainty in surrogates. The leave-one-out cross-validation technique is adopted in the DSUS framework to measure local errors of a surrogate. A method is proposed in this paper to evaluate the performance of the leave-out-out cross-validation errors as local error measures. This method evaluates local errors by comparing: (i) the leave-one-out cross-validation error with (ii) the actual local error estimated within a local hypercube for each training point. The comparison results show that the leave-one-out cross-validation strategy can capture the local errors of a surrogate. The DSUS framework is then applied to key aspects of wind resource as- sessment and wind farm cost modeling. The uncertainties in the wind farm cost and the wind power potential are successfully characterized, which provides designers/users more confidence when using these models
Coastal erosion management using image processing and Node Oriented Programming AbdAllah Aly
Presentation of my Thesis with the title "Coastal erosion management using image processing and Node Oriented Programming" for achieving my Masters Degree in Computer and Automation Engineering from Siena University, Italy.
Concentrated dispersion & emulsion stability and instability analysis.
Formulation and quality control of
• emulsions
• suspensions
• foams
The TurbiScan MA 2000 is designed as a formulation and a product
stability control tool. The early stage detection allows to quickly correct
formulations and to shorten ageing tests.
The kinetic analysis visualisation is the only way to document stability studies in an easy to interpret format. Providing information about the mechanisms involved in a destabilisation, the TurbiScan MA 2000 allows to fully understand these physical processes and to apply the proper correction to the formulation.
Further informations there : http://www.formulaction.com/stability-turbiscan-classic.html
F. Serdio, E. Lughofer, K. Pichler, T. Buchegger, M. Pichler and H. Efendic, Multivariate Fault Detection using Vector Autoregressive Moving Average and Orthogonal Transformation in the residual Space, Annual Conference of the Prognostics and Health Management Society, PHM 2013, New Orleans, LA, USA, 2013, pp. 548-555.
Introduction : Basic Feature of an Automobile
Car Body Details
Types of Vehicle
Body Engineering Terminology
Morphology of Vehicle Body ( Structural ) Design
Design Considerations
Feature Matching using SIFT algorithm; co-authored presentation on Photogrammetry studio by Sajid Pareeth, Gabriel Vincent Sanya, Sonam Tashi and Michael Mutale
This paper advances the Domain Segmentation based on Uncertainty in the Surrogate (DSUS) framework which is a novel approach to characterize the uncertainty in surrogates. The leave-one-out cross-validation technique is adopted in the DSUS framework to measure local errors of a surrogate. A method is proposed in this paper to evaluate the performance of the leave-out-out cross-validation errors as local error measures. This method evaluates local errors by comparing: (i) the leave-one-out cross-validation error with (ii) the actual local error estimated within a local hypercube for each training point. The comparison results show that the leave-one-out cross-validation strategy can capture the local errors of a surrogate. The DSUS framework is then applied to key aspects of wind resource as- sessment and wind farm cost modeling. The uncertainties in the wind farm cost and the wind power potential are successfully characterized, which provides designers/users more confidence when using these models
Coastal erosion management using image processing and Node Oriented Programming AbdAllah Aly
Presentation of my Thesis with the title "Coastal erosion management using image processing and Node Oriented Programming" for achieving my Masters Degree in Computer and Automation Engineering from Siena University, Italy.
Concentrated dispersion & emulsion stability and instability analysis.
Formulation and quality control of
• emulsions
• suspensions
• foams
The TurbiScan MA 2000 is designed as a formulation and a product
stability control tool. The early stage detection allows to quickly correct
formulations and to shorten ageing tests.
The kinetic analysis visualisation is the only way to document stability studies in an easy to interpret format. Providing information about the mechanisms involved in a destabilisation, the TurbiScan MA 2000 allows to fully understand these physical processes and to apply the proper correction to the formulation.
Further informations there : http://www.formulaction.com/stability-turbiscan-classic.html
F. Serdio, E. Lughofer, K. Pichler, T. Buchegger, M. Pichler and H. Efendic, Multivariate Fault Detection using Vector Autoregressive Moving Average and Orthogonal Transformation in the residual Space, Annual Conference of the Prognostics and Health Management Society, PHM 2013, New Orleans, LA, USA, 2013, pp. 548-555.
DSD-INT 2020 Radar rainfall estimation and nowcastingDeltares
Presentation by Ruben Imhoff, Xiaohan Li, Pieter Hazenberg, Deltares, at the Delft-FEWS International User Days 2020, during Delft Software Days - Edition 2020. Monday, 2 November 2020.
Altair offers a unique set of simulation tools to evaluate product feasibility, optimize the manufacturing process, and run virtual try-outs for many traditional, subtractive, and additive manufacturing processes.
Smart Product Development: Scalable Solutions for Your Entire Product LifecycleAltair
Being connected to your products opens doors to recurring and value-based revenue streams. It not only solves your customer's toughest challenges; it also helps build a sustainable future for your company. Try SmartWorks IoT today, for free trial .
An engineer working for Northrop Grumman Systems Corporation Marine Systems (NGSC-MS) was given a project to improve their teams’ current NASTRAN results post-processing workflow by writing a script to automate the task. They reached out to Altair for collaboration and Altair engineers were able to quickly determine that Altair’s mathematical modeling environment – “Altair Compose” – would be the ideal solution due to its ability to read, manipulate, and write NASTRAN results. Also, the Open Matrix Language is a scripting language that is familiar to the engineering community. Given sample NASTRAN results and requirements Altair engineers provided a “template” script. The NGSC-MS team was able to quickly understand and modify the script to their goals. The custom results were then viewable in HyperView as a contour plot, which saved a considerable amount of time during post-processing and documentation workflows.
Designing for Sustainability: Altair's Customer StoryAltair
Bush Bohlman was required to perform the structural analysis and timber design for the British Columbia Institute of Technology, (BCIT), student plaza, a pedestrian and public transport user gateway for the institute. The structure needed to establish a strong campus identity with a biophilic design and demonstrable support for sustainable building practices while ensuring structural safety according to local design codes. The hybrid mass timber structure consists of a Cross-Laminated Timber (CLT) canopy, CLT columns, and steel columns. By using S-TIMBER, the engineers were able to simulate the complex two-way bending behavior of the cantilevering roof panels and asymmetrical column layout. Having the model in S-TIMBER allowed for changes to be analyzed and re-designed, without the need to manually design individual timber and steel elements. S-TIMBER's design reports presented the design calculations concisely, yet transparently, for faster and easier reviews.
why digital twin adoption rates are skyrocketing.pdfAltair
Even though digital twin technology isn’t necessarily new, its adoption is sweeping regions and industries at astonishing rates. Organizations are rushing to adopt digital twins, learning how they can use it for different applications and purposes, and foresee even more growth in the coming few years. In this infographic, remember the big story about digital twin adoption and find out what companies worldwide have in store for their digital twin futures.
Digital twin technology has the potential to usher in unprecedented sustainability breakthroughs in industries around the world. As the world sprints toward a net zero future, organizations are rushing to adopt solutions that will create a more sustainable planet filled with technology that will enable people to minimize their impact on the people, wildlife, and environments around them. In this infographic, see how companies are flocking to digital twin technology to meet their sustainability objectives and where digital twin can have the greatest impact.
Altair’s industrial design tools allow designers, architects, and digital artists to create, evaluate, and visualize their vision faster than ever before. Focus on ideas instead of being hindered by shortcomings of the software tools and liberate creativity with design software that lets the user model freely, make changes effortlessly, and render beautifully.
Analyze performance and operations of truck fleets in real timeAltair
Altair’s event processing and data visualization tools enable fleet operators to analyze critical data streaming in from sensors and other sources. This real-time visibility into vehicle and driver performance helps reduce operating costs, improve driver safety, and increase fleet productivity. Analysts can display maps showing the current position of all assets, examine route deviations, program alerts on any set of parameters, and compare drivers’ behavior. Analysts can design and modify analytical dashboards as needed without writing a single line of code.
Knowledge Studio text analytics add-on is an industry-first application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management.
Altair’s Data Analytics solutions help reduce healthcare IT complexities and add efficiencies in areas like claims/reimbursement processing, revenue cycle management, interoperability, patient adherence and satisfaction analysis, and physician performance analysis.
Altair allows healthcare organizations to access, cleanse, and transform data—helping to break down data application silos and building automated workflows into standardized, shareable assets for optimizing strategic planning, streamlining operations, and maximizing resources.
Altair’s artificial intelligence (AI) and machine learning (ML) software helps materials scientists understand how to best fill gaps in their material databases, even when it’s impossible to test all possible variants. These advanced tools also optimize testing programs, improve efficiency, and reduce the time required to complete materials testing.
Altair High-performance Computing (HPC) and CloudAltair
Altair’s industry-leading HPC tools let you orchestrate, visualize, optimize, and analyze your most demanding workloads, easily migrating to the cloud and eliminating I/O bottlenecks. Top500 systems and small to mid-sized computing environments alike rely on Altair to keep infrastructure running smoothly. With longstanding hardware and cloud provider partnerships, we handle the integrations for you so your team can focus on moving business forward.
No Code Data Transformation for Insurance with Altair MonarchAltair
Altair Monarch is the fastest and easiest way to extract data from dark, semi-structured sources like PDFs, spreadsheets, and text files, as well as from Big Data and other structured sources. Monarch cleans, transforms, blends, and enriches data with an easy-to-use interface free of coding and scripting. For 30 years Monarch has helped insurers worldwide save time and money by enabling people of different skill sets to transform data quickly and precisely for efficient analysis around calculating premiums, identifying fraudulent claims, optimizing customer retention strategies, and more.
Altair Data analytics for Banking, Financial Services and Insurance Altair
Data is a significant asset for any organization. The older the data get, the more valuable it becomes. But the value of data doesn't lie in that you have it but in how you utilize it. Altair provides you the complete Data analytics, AI, and ML solutions across industries like manufacturing, insurance, finance, and government sectors to help you make smarter data decisions.
Altair data analytics and artificial intelligence solutionsAltair
Altair enables organisations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization, and more. With a no-code, cloud-ready interface, organisations can harness the full power of analytics and AI throughout their complete data lifecycle, driving next-level business results.
Are You Maximising the Potential of Composite Materials?Altair
This presentation provides a summary of the talks given at Altair's Composite Design ATCx seminar which took place in the UK on 26th June, 2018. The presentation includes input from Gordon Murray Design, McLaren, Simpact and many more, describing how they are using Altair technologies to reduce composite product weight, reduce time to market, improve impact performance and much more.
Lead time reduction in CAE: Automated FEM Description ReportAltair
For each deliverable FE-Model a FEM description report needs to be generated. Since this document contains always the same type of information, it is an ideal candidate to automate the creation of this report. Based on the Hyper Report Tool from Altair, RUAG Space and Altair developed a tool to automatically generate the FEM Description Report. The tool requires the HyperMesh data base and the output files from FEM checks as inputs. Together with the tool template, guidelines are provided on how the data base needs to be set up, such that the report can be created automatically. The main structure of the FEM Description Report is dependent on the assembly structure of the HM data base.
Car makers have to reduce consumption of vehicles and so, are continually looking for solutions to lighten components. For powertrain, components generally mean screwed assembly, contact and fitting interfaces, with different kind of loading to take into account (static and dynamic). Hence, we decided to apply with Altair assistance, a process of topology optimization on an assembly of gearbox housing in order to check its feasibility and efficiency. Several steps had to be solved from exhaustive identification of all mechanical constraints to execution of large models with Optistruct. By the end, the process has been defined and implemented on an existing gearbox and will be soon apply on the next one to design.
Speakers
Philippe Dausse, Modelization Specialist, PSA Peugeot Citroen Automobiles
The Team H2politO: vehicles for low consumption competitions using HyperWorks Altair
The Team H2politO is a group of students of the Politecnico di Torino. The student’s background and profiles are very diverse, everyone comes from a different discipline of engineering and together they compose a complete Team. The disciplines range from Automotive and Mechanical to Electronics, Aerospace, Energy, Mathematics, Computer Science, Mechatronics, Management, Cinema and Media and Industrial Design. The Team mission is to shape a new generation of engineers, leaders in their fields, who represent the educational excellence in regard of each of their competencies.
The results of Team passion and hard work are three low-energy consumption vehicles completely designed and made by the Team: IDRA - hydrogen powered prototype; XAM – bioethanol powered parallel hybrid urban concept; XAM 2.0 –EREV city vehicle.
The main goal is to take part and win in Shell Eco-marathon, a competition that every year involves more than one hundreds of students teams arriving from all over Europe. Especially we would like to spread the Shell Eco-marathon values through ours, combining the sustainable development with a vehicle that uses the least possible amount of energy.
H2politO is a different, innovative and somehow unique project, is not just a Team but something more: it is a new type of conceiving educational, professional and personal growth. Team members aim at being perceived as an experimental laboratory where competences, capabilities and potentialities of future’s engineers are fostered. Students strive to become not only solid and advanced technical experts but, equally important, down-to-earth managers having excellent communication, leadership and teamwork skills.
Practical and hands-on experiences are doubtlessly a complementary and enriching form of educational path where it is very important the use of simulation software like HyperWorks. Team members have a real opportunity to lead their educational path by building and crafting their own thesis. Final papers are indeed part of a cluster of thesis which combines all the technological and organizational areas of development H2politO has envisioned and embraced.
The Team believes in hard work as the basis of future success. Students crave for continuously improving and strive for exceeding expectations by nurturing the team spirit in order to create those synergies able to add value to individual performances and capabilities. As a consequence, passion and team-spirit are really the foundation of H2politO values.
Speakers
Prof. Massimiliana Carello, Politecnico di Milano
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...Altair
Better correlation of measurement data using Motion Solve and FEFMAT LAB virtual iteration Matching of locally measured data calculating excitations (input) based on MBS process (MotinSolve) to reach local measured data Using this process and the output of MotionSolve for a hybrid MBS- fatigue process
Speakers
Axel Werkhausen, Manager Sales & Support, MAGNA / Engineering Center Steyr GmbH & Co KG
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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…
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.