The philosophy of build-in reliability (BIR) or design for reliability (DFR) emphasizes the value of reliability prediction at a product’s very early design stage. Due to the lack of reliability data, the reliability prediction in this phase often utilizes auxiliary information such as the reliability information of similar products or components. In this talk, we discuss an enhanced parenting process, which consists of rigorous mathematical formulations and provides statistical inference on the failure rate of the new product. The talk is based on our paper entitled “An enhanced parenting process: predicting reliability in product’s design phase”, published on Quality Engineering in 2011.
This is a four parts lecture series. The course is designed for reliability engineers working in electronics, opto-electronics and photonics industries. It explains the roles of Highly Accelerated Life Testing (HALT) in the design and manufacturing efforts, with the emphasis on the design one (the HALT in manufacturing is the well known late Greg Hobb’s approach), and teaches what could and should be done to design, when high probability is a must, a product with the predicted, specified (“prescribed”) and, if necessary, even controlled, low probability of the field failure.
Part 1:• Reliability Engineering (RE) as part of Applied Probability (AP) and Probabilistic Risk Management (PRM)
• Accelerated Testing (AT) and its categories
• Qualification Testing (QT), Accelerated Testing and Highly Accelerated Life Testing (HALT)
• Predictive Modeling (PM) and its role
Part 2: • The most widespread HALT models: 1) Power law (used when PoF is unclear); 2) Boltzmann-Arrhenius equation (used when elevated temperature is the major cause of failure); 3) Coffin-Manson equation (an inverse power law used to evaluate low cycle fatigue life-time); 4) crack growth equations (used to evaluate fracture toughness of brittle materials); 5) Bueche-Zhurkov and Eyring equations (used to consider the combined effect of high temperature and mechanical loading); 6) Peck equation (to evaluate the combined effect of elevated temperature and relative humidity); 7) Black equation (to evaluate the combined effects of elevated temperature and current density); 8) Miner-Palmgren rule (to assess fatigue lifetime when the yield stress of the material is not exceeded); 9) creep rate equations; 10) weakest link model (applicable to extremely brittle materials with defects); 11) stress-strength (demand-capacity) interference model
• Example: typical HALT for an assembly subjected to thermal loading
Probability that a product, piece of equipment, or system will perform its intended function for a stated period of time under specified operating conditions.
The philosophy of build-in reliability (BIR) or design for reliability (DFR) emphasizes the value of reliability prediction at a product’s very early design stage. Due to the lack of reliability data, the reliability prediction in this phase often utilizes auxiliary information such as the reliability information of similar products or components. In this talk, we discuss an enhanced parenting process, which consists of rigorous mathematical formulations and provides statistical inference on the failure rate of the new product. The talk is based on our paper entitled “An enhanced parenting process: predicting reliability in product’s design phase”, published on Quality Engineering in 2011.
This is a four parts lecture series. The course is designed for reliability engineers working in electronics, opto-electronics and photonics industries. It explains the roles of Highly Accelerated Life Testing (HALT) in the design and manufacturing efforts, with the emphasis on the design one (the HALT in manufacturing is the well known late Greg Hobb’s approach), and teaches what could and should be done to design, when high probability is a must, a product with the predicted, specified (“prescribed”) and, if necessary, even controlled, low probability of the field failure.
Part 1:• Reliability Engineering (RE) as part of Applied Probability (AP) and Probabilistic Risk Management (PRM)
• Accelerated Testing (AT) and its categories
• Qualification Testing (QT), Accelerated Testing and Highly Accelerated Life Testing (HALT)
• Predictive Modeling (PM) and its role
Part 2: • The most widespread HALT models: 1) Power law (used when PoF is unclear); 2) Boltzmann-Arrhenius equation (used when elevated temperature is the major cause of failure); 3) Coffin-Manson equation (an inverse power law used to evaluate low cycle fatigue life-time); 4) crack growth equations (used to evaluate fracture toughness of brittle materials); 5) Bueche-Zhurkov and Eyring equations (used to consider the combined effect of high temperature and mechanical loading); 6) Peck equation (to evaluate the combined effect of elevated temperature and relative humidity); 7) Black equation (to evaluate the combined effects of elevated temperature and current density); 8) Miner-Palmgren rule (to assess fatigue lifetime when the yield stress of the material is not exceeded); 9) creep rate equations; 10) weakest link model (applicable to extremely brittle materials with defects); 11) stress-strength (demand-capacity) interference model
• Example: typical HALT for an assembly subjected to thermal loading
Probability that a product, piece of equipment, or system will perform its intended function for a stated period of time under specified operating conditions.
Reliability Engineering 101 : Tonex TrainingBryan Len
Reliability Engineering 101 training is a 2-day basic reliability engineering training course for electrical, mechanical, software, maintenance, reliability and quality assurance engineers, project managers and technicians covering the fundamentals of reliability.
Learning Objectives:
Describe basic concepts of reliability engineering
List the motivations for reliability and reliability engineering
List the various reliability benefits applied to process, design, products and systems
Explain different reliability terms and concepts such as MTBF, MTTR and MTTF
Discuss differences and similarities between failure rate, reliability, availability and unavailability
Discuss reliability of a repairable vs.a non-repairable system
Discuss different reliability predictions models including MIL-217, Telcordia,
Explain the role of design tools for reliability predictions
Describe FMEA, FMECA, Process FMEA, Design FMEA, FTA, RDB, Markov, and Event Tree Analysis (ETA)
Course Content:
What is Reliability?
What is Reliability Engineering?
Reliability Management
Reliability Modeling and Predictions
Reliability Engineering 101 course is intended for anyone interested in understanding what reliability and reliability engineering are and how it will transform their products and systems development to the desired state.
Learn more about reliability engineering 101. Visit Tonex.com link below
Reliability Engineering 101
https://www.tonex.com/training-courses/reliability-engineering-101/
Reliability is associated with unexpected failures of products or services and understanding why these failures occur is key to improving reliability. The main reasons why failures occur include:
The product is not fit for purpose or more specifically the design is inherently incapable.
The item may be overstressed in some way.
Failures can be caused by wear-out
Failures might be caused by vibration.
Reliability, describes the ability of a system or component to function under stated conditions for a specified period of time
Reliability may also describe the ability to function at a specified moment or interval of time (Availability).
This is a four parts lecture series. The course is designed for reliability engineers working in electronics, opto-electronics and photonics industries. It explains the roles of Highly Accelerated Life Testing (HALT) in the design and manufacturing efforts, with the emphasis on the design one (the HALT in manufacturing is the well known late Greg Hobb’s approach), and teaches what could and should be done to design, when high probability is a must, a product with the predicted, specified (“prescribed”) and, if necessary, even controlled, low probability of the field failure.
Part 3: • Design for Reliability (DfR)
• Probabilistic Design for Reliability (PDfR): role, attributes, challenges, pitfalls
• Safety margin and safety factor
• Practical examples: assemblies subjected to thermal and/or dynamic loading
Part 4: • More general PDfR approach
• New Qualification Approaches Needed?
• One effective way to improve the existing QT practices and specifications
Reliability Engineering Assignment help services at Globalwebtutors are available 24/ by online Reliability Engineering experts , Reliability Engineering tutors are available for instant Reliability Engineering questions help , Reliability Engineering writers can help you with complex Reliability Engineering dissertation requirements.
Mechanical Reliability Prediction: A Different ApproachHCL Technologies
This paper critically analyses the current industry practices for making reliability prediction prevalent among the aircraft manufacturers and further explores the more accurate and cost effective methods for predicting the failure rate of a component or subsystem during the early design phase of the product development cycle namely NSWC method , PoF approach and SSI theory. It elucidates the effectiveness of these alternative approaches with the help of a case study on Hydraulic Accumulator (HYDAC).
Reducing Product Development Risk with Reliability Engineering MethodsWilde Analysis Ltd.
Overview of how reliability engineering methodology and software tools can help companies manage risk during product development and improve performance.
Presented at the Interplas'2011 exhibition and conference at the NEC on 27th October 2011 by Mike McCarthy.
This presentation looks at how ‘Reliability Engineering’ tools and methods are used to reduce risk in a typical product development lifecycle involving both plastic and metallic components. These tools range in complexity from simple approaches to managing product reliability data to the application of sophisticated simulation methods on large systems with complex duty cycles. Three examples are:
- Failure Mode Effects (and Criticality) Analysis (FMECA) to identify, manage and reuse information on what could go wrong with a design or manufacturing process and how to avoid it
- Design of Experiments for optimising performance through a structured and efficient study of parameters that affect the product or manufacturing process (e.g. injection moulding)
- Accelerated Life Testing to identify potential long term failure modes of products released to market within a shortened development time.
We will explore how gathering enough of the right kind of data and applying it in an intelligent way can reduce risk, not only in plastic product design and manufacture, but also in managing the associated supply chain and in the ‘Whole Life Management’ of products (including warranties). Furthermore, we will show how ‘sparse’ data gathered from previous or similar products, such as field/warranty reports, engineering testing data and supplier data sheets, as well as FEA, CFD and injection moulding/extrusion simulation, can inform and positively influence new product design processes from concept stage onwards.
Reliability testing is critical for new component qualification, design change validation, or field failure simulation for root cause analysis. In many cases, with tight project schedules and scarce available resources, some important critical characteristics of a component or subsystem are overlooked. This will potentially result in new failure modes after implementing changes in production. The author will explain how to develop an effective test plan using the 6σ (Six Sigma) problem solving process, IDOV (Identify, Design, Optimize and Validation), to make the testing simple but efficient.
Peter Zimmerer - Evolve Design For Testability To The Next Level - EuroSTAR 2012TEST Huddle
EuroSTAR Software Testing Conference 2012 presentation on Evolve Design For Testability To The Next Level by Peter Zimmerer . See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Reliability Engineering 101 : Tonex TrainingBryan Len
Reliability Engineering 101 training is a 2-day basic reliability engineering training course for electrical, mechanical, software, maintenance, reliability and quality assurance engineers, project managers and technicians covering the fundamentals of reliability.
Learning Objectives:
Describe basic concepts of reliability engineering
List the motivations for reliability and reliability engineering
List the various reliability benefits applied to process, design, products and systems
Explain different reliability terms and concepts such as MTBF, MTTR and MTTF
Discuss differences and similarities between failure rate, reliability, availability and unavailability
Discuss reliability of a repairable vs.a non-repairable system
Discuss different reliability predictions models including MIL-217, Telcordia,
Explain the role of design tools for reliability predictions
Describe FMEA, FMECA, Process FMEA, Design FMEA, FTA, RDB, Markov, and Event Tree Analysis (ETA)
Course Content:
What is Reliability?
What is Reliability Engineering?
Reliability Management
Reliability Modeling and Predictions
Reliability Engineering 101 course is intended for anyone interested in understanding what reliability and reliability engineering are and how it will transform their products and systems development to the desired state.
Learn more about reliability engineering 101. Visit Tonex.com link below
Reliability Engineering 101
https://www.tonex.com/training-courses/reliability-engineering-101/
Reliability is associated with unexpected failures of products or services and understanding why these failures occur is key to improving reliability. The main reasons why failures occur include:
The product is not fit for purpose or more specifically the design is inherently incapable.
The item may be overstressed in some way.
Failures can be caused by wear-out
Failures might be caused by vibration.
Reliability, describes the ability of a system or component to function under stated conditions for a specified period of time
Reliability may also describe the ability to function at a specified moment or interval of time (Availability).
This is a four parts lecture series. The course is designed for reliability engineers working in electronics, opto-electronics and photonics industries. It explains the roles of Highly Accelerated Life Testing (HALT) in the design and manufacturing efforts, with the emphasis on the design one (the HALT in manufacturing is the well known late Greg Hobb’s approach), and teaches what could and should be done to design, when high probability is a must, a product with the predicted, specified (“prescribed”) and, if necessary, even controlled, low probability of the field failure.
Part 3: • Design for Reliability (DfR)
• Probabilistic Design for Reliability (PDfR): role, attributes, challenges, pitfalls
• Safety margin and safety factor
• Practical examples: assemblies subjected to thermal and/or dynamic loading
Part 4: • More general PDfR approach
• New Qualification Approaches Needed?
• One effective way to improve the existing QT practices and specifications
Reliability Engineering Assignment help services at Globalwebtutors are available 24/ by online Reliability Engineering experts , Reliability Engineering tutors are available for instant Reliability Engineering questions help , Reliability Engineering writers can help you with complex Reliability Engineering dissertation requirements.
Mechanical Reliability Prediction: A Different ApproachHCL Technologies
This paper critically analyses the current industry practices for making reliability prediction prevalent among the aircraft manufacturers and further explores the more accurate and cost effective methods for predicting the failure rate of a component or subsystem during the early design phase of the product development cycle namely NSWC method , PoF approach and SSI theory. It elucidates the effectiveness of these alternative approaches with the help of a case study on Hydraulic Accumulator (HYDAC).
Reducing Product Development Risk with Reliability Engineering MethodsWilde Analysis Ltd.
Overview of how reliability engineering methodology and software tools can help companies manage risk during product development and improve performance.
Presented at the Interplas'2011 exhibition and conference at the NEC on 27th October 2011 by Mike McCarthy.
This presentation looks at how ‘Reliability Engineering’ tools and methods are used to reduce risk in a typical product development lifecycle involving both plastic and metallic components. These tools range in complexity from simple approaches to managing product reliability data to the application of sophisticated simulation methods on large systems with complex duty cycles. Three examples are:
- Failure Mode Effects (and Criticality) Analysis (FMECA) to identify, manage and reuse information on what could go wrong with a design or manufacturing process and how to avoid it
- Design of Experiments for optimising performance through a structured and efficient study of parameters that affect the product or manufacturing process (e.g. injection moulding)
- Accelerated Life Testing to identify potential long term failure modes of products released to market within a shortened development time.
We will explore how gathering enough of the right kind of data and applying it in an intelligent way can reduce risk, not only in plastic product design and manufacture, but also in managing the associated supply chain and in the ‘Whole Life Management’ of products (including warranties). Furthermore, we will show how ‘sparse’ data gathered from previous or similar products, such as field/warranty reports, engineering testing data and supplier data sheets, as well as FEA, CFD and injection moulding/extrusion simulation, can inform and positively influence new product design processes from concept stage onwards.
Reliability testing is critical for new component qualification, design change validation, or field failure simulation for root cause analysis. In many cases, with tight project schedules and scarce available resources, some important critical characteristics of a component or subsystem are overlooked. This will potentially result in new failure modes after implementing changes in production. The author will explain how to develop an effective test plan using the 6σ (Six Sigma) problem solving process, IDOV (Identify, Design, Optimize and Validation), to make the testing simple but efficient.
Peter Zimmerer - Evolve Design For Testability To The Next Level - EuroSTAR 2012TEST Huddle
EuroSTAR Software Testing Conference 2012 presentation on Evolve Design For Testability To The Next Level by Peter Zimmerer . See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Building functional Quality Gates with ReportPortalDmitriy Gumeniuk
Presented at SeleniumConf 2023, this talk explores the experience of building Quality Gates using ReportPortal.io for a test regression suite with 200,000 test cases. The discussion highlights the distinctions between functional and non-functional quality gates, explaining why Sonarqube's Quality Gates may be insufficient. It also outlines how to break down the regression structure to organize execution sequences controlled by quality gate checks. These checks are based on various factors, including functional application aspects, test failure types, test case priorities, tested components, user flows, and more—providing a comprehensive approach to ensuring software quality.
Speaker: Dmitriy Gumeniuk, CEO ReportPortal.io,
Head of Testing Products at EPAM Systems.
The talk on youtube: https://www.youtube.com/watch?v=At5MEWqf_TI
Application of HALT at design stage becomes more and more common in electronics industry. Many discussions and disputations of the HALT test interpretation are in full swing. With our HALT test experiences in notebook, desktop and server products, we intend to share and discuss the safety factor of exact product operating limits to its operation specifications in temperature and vibration and common failure modes stimulated thereby. A general perspective of the test setup techniques by product types and its influence is also provided. The distinctive roles of HALT on board level and system level from thermal flow field point of view are also shared in this paper.
Design for reliability (DFR) is an industry-wide practice and a philosophy of considering reliability in an early stage of product design and development, to achieve a highly-reliable product while with sustainable cost. Physical of Failure (PoF) is recognized as a key approach of implementing DFR in a product design and development process. The author will present a case study to illustrate predicting and identifying product failure early in the design phase with the help of a quantitative PoF model based analysis tool.
Not all objects are equal - strategies for designing testable codeSagy Rozman
Discussing some heuristics for system architecture and OO design principles that may help when applying TDD by improving modularity and testability of code.
JamesSticky NoteThis is an introduction to a volume of t.docxchristiandean12115
James
Sticky Note
This is an introduction to a volume of the Journal of Education devoted to my papers. This piece is quite close to my paper "What is Literacy?".
1
Chapter 8
Design for Six Sigma
1
Design for Six Sigma
Design for Six Sigma (DFSS) represents a set of tools and methodologies used in product development for ensuring that goods and services will meet customer needs and achieve performance objectives and that the processes used to make and deliver them achieve six sigma capability.
2
2
DFSS Methodology: DMADV
Define – establish goals
Measure – identify voice of the customer and define CTQ measures
Analyze – propose and evaluate high-level design concepts
Design – design the details of the product and processes used to produce it
Verify – ensure that the product performs as expected and meets customer requirements
3
Features of DFSS
A high-level architectural view of the design
Use of CTQs with well-defined technical requirements
Application of statistical modeling and simulation approaches
Predicting defects, avoiding defects, and performance prediction using analysis methods
Examining the full range of product performance using variation analysis of subsystems and components
4
Concept Development
Concept development – the process of applying scientific, engineering, and business knowledge to produce a basic functional design that meets both customer needs and manufacturing or service delivery requirements.
5
Innovation
Innovation involves the adoption of an idea, process, technology, product, or business model that is either new or new to its proposed application.
The outcome of innovation is a discontinuous or breakthrough change that results in new and unique goods and services that delight customers and create competitive advantage.
6
Types of Innovation
1. An entirely new category of product (for example, Twitter)
2. First of its type on the market in a product category already in existence (for
example, the DVD player)
3. A significant improvement in existing technology (for example, the Blu-ray
disc technology)
4. A modest improvement to an existing product (for example, the latest iPad)
7
Creativity
Creativity is seeing things in new or novel ways.
Creativity tools, such as brainstorming and “brainwriting,” are designed to help change the context in which one views a problem or opportunity, thereby leading to fresh perspectives.
8
Understanding the Voice of the Customer
What is the product (good or service) intended to do?
Technical requirements, sometimes called design characteristics, translate the voice of the customer into technical language, specifically into measures of product performance.
9
Design Development
Design development - the process of applying scientific, engineering, and business knowledge to produce a basic functional design that meets all CTQ.
Unit Testing vs End-To-End Testing_ Understanding Key Differences.pdfkalichargn70th171
In the complex landscape of software development, ensuring the reliability and functionality of applications is paramount. Two fundamental approaches to achieving this are unit testing and end-to-end testing. Each strategy serves a unique purpose, and together, they form the backbone of a robust software testing regime.
Config Management Camp 2017 - If it moves, give it a pipelineMark Rendell
A talk dedicated to improving the quality of infrastructure code using free open source software. We used to say "if it moves, lock it down in version control" and then the concept of a Continuous Delivery pipeline came along and the advice progressed to "if it moves, lock it down in version control and build a Continuous Delivery pipeline to test and release every change continuously". This advice is still more commonly followed in application code than infrastructure and platform code. I will talk about how we have seasoned this dogfood by making CD of infrastructure code easier. The solution “ADOP” is free and open source and currently makes building a pipeline for a Chef Cookbook, Ansible Playbook or Docker image almost trivial. I will describe and demo the solution including how to adopt it, where I think it is going next, and how valuable we have found it.
http://cfgmgmtcamp.eu/schedule/testing/mark-rendell.html
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…
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.
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.
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
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
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.
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.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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
2. The ability of a system or component to perform its required functions
under stated conditions for a specified period of time(IEEE)
.
Reliability
Quality
Definitions
A degree of grade or excellence or worth
3. Key to Success
$
Reliability
The objective of
every reliability
engineer is to
produce a
reliable project
plan
The Objective of
every company
is to make
money
The objective of every Reliability Manger is to
produce a reliability plan that gives maximum
reliability at minimal cost
4. Reliability Engineering
Project Life Cycle
IDEA
R & D Production
Reliability Engineering
Final
Product
Dolly 2
Operation
/Useful
Dolly Family
Dolly 1A
Prototype
System Reliability
Availability
MTBF
MTTR
FMECA
TAAF/RGT
FTA
Thermal Analysis/Demo
HALT
Thermal
Mapping
Qual testing
TAAF/RG
High Accelerated Stress testing
ESS-Vibration
ESS- Temperature
Component analysis
Temperature analysis
Location analysis
FRACAS
7. What does Reliability Prediction give me?
Reliability predictions can be used for assessment of
whether reliability goals can be reached, evaluation of
alternative designs.
8. Component Specification Temperature Pareto
The most dominant parameter for component reliability is temperature. Rank components as to maximum
rated temperature(ambient /case as applicable) and analyze cost versus benefit.
Component Placement analysis
The component placement should take into account
Power dissipating components should be in a good location for
cooling. Surrounding these high dissipating components should be components
which can with stand the increase temperature surrounding the high dissipating
component
Thermal Mapping
Thorough thermal mapping of all components as per prior paragraphs at worst case
maximum and safety conditions . This process optimizes cost/temperature through
testing many scenarios (for example for fan cooling number of fans location temperature
, noise)
.
Design & Prototype Stage
9. Halt
How far is our theoretical design from real
capabilities?
.
