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).
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 1. Reliability Definitions
1.Reliability---Time dependent characteristic
2.Failure rate
3.Mean Time to Failure
4.Availability
5.Mean residual life
Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This 4-Hour course provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data
You’ve heard about Weibull Analysis, and want to know what it can be used for, OR you’ve used Weibull Analysis in the past, but have forgotten some of the background and uses….
This webinar looks at giving you the background of Weibull Analysis, and its use in analyzing failure modes. Starting from basics and giving examples of its uses in answering the questions:
• How many do I test, for how long?
• Is our design system wrong?
• How many more failures will I have in the next month, year, 5 years?
Sit in and listen and ask your questions … not detailed “How to” but “When & Why to”!
With the increase in global competition, more and more costumers consider reliability as one of their primary deciding factors, when purchasing new products. Several companies have invested in developing their own Design for Reliability (DFR) processes and roadmaps in order to be able to meet those requirements and compete in today’s market. This presentation will describe the DFR roadmap and how to effectively use it to ensure the success of the reliability program by focusing on the following DFR elements.
Weibull Analysis is an important tool for Reliability Engineering. It can be used verifying the design life at component level, comparing two designs and warranty analysis.
This seminar session provides an overview of major aspects of reliability engineering, including general introduction of reliability engineering (definition of reliability, function of reliability engineering, a brief history of reliability, etc.), reliability basics (metrics used in reliability, commonly-used probability distributions in reliability, bathtub curve, reliability demonstration test planning, confidence intervals, Bayesian statistics application in reliability, strength-stress interference theory, etc.), accelerated life testing (ALT) (types of ALT, Arrhenius model, inverse power law model, Eyring model, temperature-humidity model, etc.), reliability growth (reliability-based growth models, MTBF-based growth model, etc.), systems reliability & availability (reliability block diagram, non-repairable or repairable systems, reliability modeling of series systems, parallel systems, standby systems, and complex systems, load sharing reliability, reliability allocation, system availability, Monte Carlo simulation, etc.), and degradation-based reliability (introduction of degradation-based reliability, difference between traditional reliability and degradation-based reliability, etc.).
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 1. Reliability Definitions
1.Reliability---Time dependent characteristic
2.Failure rate
3.Mean Time to Failure
4.Availability
5.Mean residual life
Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This 4-Hour course provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data
You’ve heard about Weibull Analysis, and want to know what it can be used for, OR you’ve used Weibull Analysis in the past, but have forgotten some of the background and uses….
This webinar looks at giving you the background of Weibull Analysis, and its use in analyzing failure modes. Starting from basics and giving examples of its uses in answering the questions:
• How many do I test, for how long?
• Is our design system wrong?
• How many more failures will I have in the next month, year, 5 years?
Sit in and listen and ask your questions … not detailed “How to” but “When & Why to”!
With the increase in global competition, more and more costumers consider reliability as one of their primary deciding factors, when purchasing new products. Several companies have invested in developing their own Design for Reliability (DFR) processes and roadmaps in order to be able to meet those requirements and compete in today’s market. This presentation will describe the DFR roadmap and how to effectively use it to ensure the success of the reliability program by focusing on the following DFR elements.
Weibull Analysis is an important tool for Reliability Engineering. It can be used verifying the design life at component level, comparing two designs and warranty analysis.
This seminar session provides an overview of major aspects of reliability engineering, including general introduction of reliability engineering (definition of reliability, function of reliability engineering, a brief history of reliability, etc.), reliability basics (metrics used in reliability, commonly-used probability distributions in reliability, bathtub curve, reliability demonstration test planning, confidence intervals, Bayesian statistics application in reliability, strength-stress interference theory, etc.), accelerated life testing (ALT) (types of ALT, Arrhenius model, inverse power law model, Eyring model, temperature-humidity model, etc.), reliability growth (reliability-based growth models, MTBF-based growth model, etc.), systems reliability & availability (reliability block diagram, non-repairable or repairable systems, reliability modeling of series systems, parallel systems, standby systems, and complex systems, load sharing reliability, reliability allocation, system availability, Monte Carlo simulation, etc.), and degradation-based reliability (introduction of degradation-based reliability, difference between traditional reliability and degradation-based reliability, etc.).
Accelerated life testing plans are designed under multiple objective consideration, with the resulting Pareto optimal solutions classified and reduced using neural network and data envelopement analysis, respectively.
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 3. Failure Time Distributions
1.Constant failure rate distributions
2.Increasing failure rate distributions
3.Decreasing failure rate distributions
4.Weibull Analysis – Why use Weibull?
This is a presentation to the top management as to why reliability is important and what is the difference between a maintenance engineer and a reliability engineer.
Authors: (i) Prashanth Lakshmi Narasimhan,
(ii) Mukesh Ravichandran
Industry: Automobile -Auto Ancillary Equipment ( Turbocharger)
This was presented after the completion of our 2 months internship at Turbo Energy Limited during our 3rd Year Summer holidays (2013)
Accelerated Life Testing (ALT) is a lifetime prediction methodology commonly used by the industry in the past decades. This method , however, is reaching its limitations with the development of products within emerging technologies requiring long-term reliability. At TNO we work on technology development with long expected lifetimes , e.g. solar cells and LED lighting.
New methodologies are required to predict long term reliability for these type of products. Methods to predict long term reliability by extending ALT methods, like HALT (Highly Accelerated Life Testing) and MEOST (Multiple Environmental Stress Testing) will be discussed in the presentation.
A problem in application of these methods is definition of adequate stress profiles. It is our experience that to gain benefit from accelerated testing, insight in the Physic of Failure of a product is essential.
This presentation is an introduction into Multiple Over Stress Testing. A method to design robust and reliable products. It is a relaibility method that requires much insight in the Physics of Failure of the product in development
Accelerated life testing (ALT) is widely used to expedite failures of a product in a short time period for predicting the product’s reliability under normal operating conditions. The resulting ALT data are often characterized by a probability distribution, such as Weibull, Lognormal, Gamma distribution, along with a life-stress relationship. However, if the selected failure time distribution is not adequate in describing the ALT data, the resulting reliability prediction would be misleading. In this talk, we provide a generic method for modeling ALT data which will assist engineers in dealing with a variety of failure time distributions. The method uses Erlang-Coxian (EC) distributions, which belong to a particular subset of phase-type (PH) distributions, to approximate the underlying failure time distributions arbitrarily closely. To estimate the parameters of such an EC-based ALT model, two statistical inference approaches are proposed. First, a mathematical programming approach is formulated to simultaneously match the moments of the EC-based ALT model to the ALT data collected at all test stress levels. This approach resolves the feasibility issue of the method of moments. In addition, the maximum likelihood estimation (MLE) approach is proposed to handle ALT data with type-I censoring. Numerical examples are provided to illustrate the capability of the generic method in modeling ALT data.
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 2. Reliability Calculations
1.Use of failure data
2.Density functions
3.Reliability function
4.Hazard and failure rates
You want to learn how to rank your equipment based on criticality then this chapter from the "Rules of Thumb for Maintenance and Reliability Engineers Handbook.
This document will describe the structured evaluation methodology used to “Identify Critical Equipment”. Criticality Analysis identifies the assets which contribute the most asset reliability, throughput, safety, etc. Without an effective criticality analysis an organization lacks focus on what assets contribute the most to their business.
If you have questions about asset criticality analysis send an email to Ricky Smith at askrickysmith@gmail,com
The Process Safety Management (PSM) Standard requires that covered facilities manage change through a Management of Change (MOC) program. A robust MOC program effectively identifies and analyzes changes. Observation has shown that many MOC processes have deficiencies in training[1], whereas the Authors have observed that other facilities with effective MOC processes employ checklists and workflows to help MOC facilitators identify when engineering expertise is needed (e.g. Preventative Maintenance updates or changes in engineering documents / Process Safety Information (PSI)). It is important to note that PSI encompasses an array of information, which in addition to process safety, is also utilized to make decisions associated with asset expansions and optimization. Updating relief systems PSI is an essential, and often overlooked, aspect of MOC. When changes affecting relief systems are not recognized, a facility will often have to undertake the costly and untimely process of periodically restudying and revising the relief system PSI. These periodic studies can lead to unexpected asset installations and/or operating parameter changes. Based on experiences at various facilities, a workflow is presented in this paper as a timely method for plant level engineers to recognize changes that can affect relief systems. Ultimately this methodology can reduce the error rate associated with MOC and ensure related relief system PSI is accurately updated.
Accelerated life testing plans are designed under multiple objective consideration, with the resulting Pareto optimal solutions classified and reduced using neural network and data envelopement analysis, respectively.
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 3. Failure Time Distributions
1.Constant failure rate distributions
2.Increasing failure rate distributions
3.Decreasing failure rate distributions
4.Weibull Analysis – Why use Weibull?
This is a presentation to the top management as to why reliability is important and what is the difference between a maintenance engineer and a reliability engineer.
Authors: (i) Prashanth Lakshmi Narasimhan,
(ii) Mukesh Ravichandran
Industry: Automobile -Auto Ancillary Equipment ( Turbocharger)
This was presented after the completion of our 2 months internship at Turbo Energy Limited during our 3rd Year Summer holidays (2013)
Accelerated Life Testing (ALT) is a lifetime prediction methodology commonly used by the industry in the past decades. This method , however, is reaching its limitations with the development of products within emerging technologies requiring long-term reliability. At TNO we work on technology development with long expected lifetimes , e.g. solar cells and LED lighting.
New methodologies are required to predict long term reliability for these type of products. Methods to predict long term reliability by extending ALT methods, like HALT (Highly Accelerated Life Testing) and MEOST (Multiple Environmental Stress Testing) will be discussed in the presentation.
A problem in application of these methods is definition of adequate stress profiles. It is our experience that to gain benefit from accelerated testing, insight in the Physic of Failure of a product is essential.
This presentation is an introduction into Multiple Over Stress Testing. A method to design robust and reliable products. It is a relaibility method that requires much insight in the Physics of Failure of the product in development
Accelerated life testing (ALT) is widely used to expedite failures of a product in a short time period for predicting the product’s reliability under normal operating conditions. The resulting ALT data are often characterized by a probability distribution, such as Weibull, Lognormal, Gamma distribution, along with a life-stress relationship. However, if the selected failure time distribution is not adequate in describing the ALT data, the resulting reliability prediction would be misleading. In this talk, we provide a generic method for modeling ALT data which will assist engineers in dealing with a variety of failure time distributions. The method uses Erlang-Coxian (EC) distributions, which belong to a particular subset of phase-type (PH) distributions, to approximate the underlying failure time distributions arbitrarily closely. To estimate the parameters of such an EC-based ALT model, two statistical inference approaches are proposed. First, a mathematical programming approach is formulated to simultaneously match the moments of the EC-based ALT model to the ALT data collected at all test stress levels. This approach resolves the feasibility issue of the method of moments. In addition, the maximum likelihood estimation (MLE) approach is proposed to handle ALT data with type-I censoring. Numerical examples are provided to illustrate the capability of the generic method in modeling ALT data.
This is a three parts lecture series. The parts will cover the basics and fundamentals of reliability engineering. Part 1 begins with introduction of reliability definition and other reliability characteristics and measurements. It will be followed by reliability calculation, estimation of failure rates and understanding of the implications of failure rates on system maintenance and replacements in Part 2. Then Part 3 will cover the most important and practical failure time distributions and how to obtain the parameters of the distributions and interpretations of these parameters. Hands-on computations of the failure rates and the estimation of the failure time distribution parameters will be conducted using standard Microsoft Excel.
Part 2. Reliability Calculations
1.Use of failure data
2.Density functions
3.Reliability function
4.Hazard and failure rates
You want to learn how to rank your equipment based on criticality then this chapter from the "Rules of Thumb for Maintenance and Reliability Engineers Handbook.
This document will describe the structured evaluation methodology used to “Identify Critical Equipment”. Criticality Analysis identifies the assets which contribute the most asset reliability, throughput, safety, etc. Without an effective criticality analysis an organization lacks focus on what assets contribute the most to their business.
If you have questions about asset criticality analysis send an email to Ricky Smith at askrickysmith@gmail,com
The Process Safety Management (PSM) Standard requires that covered facilities manage change through a Management of Change (MOC) program. A robust MOC program effectively identifies and analyzes changes. Observation has shown that many MOC processes have deficiencies in training[1], whereas the Authors have observed that other facilities with effective MOC processes employ checklists and workflows to help MOC facilitators identify when engineering expertise is needed (e.g. Preventative Maintenance updates or changes in engineering documents / Process Safety Information (PSI)). It is important to note that PSI encompasses an array of information, which in addition to process safety, is also utilized to make decisions associated with asset expansions and optimization. Updating relief systems PSI is an essential, and often overlooked, aspect of MOC. When changes affecting relief systems are not recognized, a facility will often have to undertake the costly and untimely process of periodically restudying and revising the relief system PSI. These periodic studies can lead to unexpected asset installations and/or operating parameter changes. Based on experiences at various facilities, a workflow is presented in this paper as a timely method for plant level engineers to recognize changes that can affect relief systems. Ultimately this methodology can reduce the error rate associated with MOC and ensure related relief system PSI is accurately updated.
OTC 14009 Deep Offshore Well Metering and Permutation Testingguest467223b
This paper presents two
complementary methodologies for operation support and
improvement of the production conditions. The first one is
based on data reconciliation between process measurements
and flow modelling. It brings an additional level of
information to the problem of continuous metering of deepwater
subsea wells. As periodic well testing is required to
achieve this predictive metering, the second methodology
provides the optimal test sequences of well permutations. It
involves flow process simulation and algorithmical sorting,
according to production constraints and operating strategies.
Principal component analysis based approach for fault diagnosis in pneumatic ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Guidelines to Understanding to estimate MTBFijsrd.com
To quantifying a reparable system or reliability we can use MTBF. It has been used for various decisions. MTBF is determining the reliability. For developing the MTBF model we can use Poisson distribution, Weibull model and Bayesian are the most popular approach. In this paper we are talking about complexities and misconceptions of MTBF and clarify in sequence what are the items and concerns that need to be consider in estimating MTBF.
Eng handbook crosby pressure relief valve engineering handbookAli Meshaikhis
Reference is made to the ASME Boiler and Pressure Vessel Code, Section VIII, Pressure Vessels. The information in this handbook is not to be used for the application of overpressure protection to power boilers and nuclear power plant components which are addressed in the ASEM Boiler and Pressure Vessel Code Section I.
Emergence of ITOA: An Evolution in IT Monitoring and ManagementHCL Technologies
IT operations analytics(ITOA) plays key role by providing intelligence that makes business sense out of the real-time data being generated by infrastructure components and applications.
USING FACTORY DESIGN PATTERNS IN MAP REDUCE DESIGN FOR BIG DATA ANALYTICSHCL Technologies
Though insights from Big Data gives a breakthrough to make better business decision, it poses its own set of challenges. This paper addresses the gap of Variety problem and suggest a way to seamlessly handle data processing even if there is change in data type/processing algorithm. It explores the various map reduce design patterns and comes out with a unified working solution (library). The library has the potential to ‘adapt’ itself to any data processing need which can be achieved by Map Reduce saving lot of man hours and enforce good practices in code.
HCL HELPS A US BASED WIRELINE TELECOM OPERATOR FOR BETTER LEAD-TO-CASH AND TH...HCL Technologies
The client is a privately-held competitive local exchange carrier, offering voice services, phone services, internet access, etc. to business customers primarily in California and Nevada. HCL's engagement included managed services application portfolio, CRM implementation and reporting. The client achieved seamless transition within three months with 100% off-shore presence using HCL's transition methodology
HCL HELPS A LEADING US TELECOM PROTECT ITS MARKET SHARE AND MAINTAIN HIGH LEV...HCL Technologies
The customer is a worldwide player in Networking & Cloud automation, Workflow automation and sustenance engineering. HCL took complete ownership of the customer's engineering services and saved costs by minimizing material overhead in thermal projections.
HCL suggests solutions to reduce airborne noise being emitted by vacuum cleaners. It has been seen that blowers used in vacuum cleaners are the main source of airborne noise and blade wakes are unavoidable in turbo machines.Focus of this whitepaper is to understand how to reduce sound intensity of vacuum cleaners and studying its effects on human hearing. ERS division in HCL proposes the design of a spiral enclosure for the blower in the vacuum cleaner. HCL suggests solutions to reduce airborne noise being emitted by vacuum cleaners. ERS division in HCL proposes the design of a spiral enclosure for the blower in the vacuum cleaner.
Comply is an IoT enabled, Small Pill Box, with a digital display that keeps track of your medical dosage level as well as the remaining pills. Offload complex tasks by pairing the solution with a smartphone/tablet app or a wearable fitness monitor. The collated data is analyzed from individual Comply units and then sent to the cloud.
Smart City solution providers will face challenges in increasing network load due to the huge amounts of video data flowing through their networks. For cost-effective analytics, distributed architecture with user control is just the right solution required. In Smart Cities with varying applications of video analytics solutions in fields such as security systems, utilities operators, and emergency response systems, it gives users a simple way to pick the feed they would like, instrument the analysis they want, and report the way they require in a simple-configurable manner.
With the advent of IoT and connected devices, there is an urgent need for a security framework that addresses major security goals of embedded devices. Security has to be an exercise built into the product development process instead of adding as an add-on feature.
Connected cars are fast becoming a reality and has the potential to change the way businesses are run. A connected car facilitates devices inside the car to connect with the computing and application servers and use computing power to access real time information and data. Use cases are explained for Transportation, Healthcare and Education fields along with the business models.
A Sigh of Relief for Patients with Chronic DiseasesHCL Technologies
This paper presents a solution for remote health monitoring for chronic diseases like chronic diseases like diabetes, asthma, cardiac arrhythmia, sleep disorders, and hypertension. It commences with the definitions for a better understanding of the terms used, and then excavates into perceiving what technology-enabled care is.
A simple solution that can utilize data, tap into social sentiments and provide business value to mobile users is much desired. Social data can be tapped for both society and business, and everyone is looking for an application that can address both. This paper analyzes a working solution, its tenets and features, and also indulge in a bit of future gazing.
A Novel Design Approach for Electronic Equipment - FEA Based MethodologyHCL Technologies
This paper describes the design approach established to study and simulate the vibration behavior of electronic products and provide good correlation between test data and FE simulation through a well calibrated analytical model. This established and validated approach/methodology has been practically implemented in various real time projects for various HCL clients, thereby eliminating/minimizing the actual hardware testing and prototyping efforts resulting in a significant reduction in turnaround time, increased product cost savings and improved productivity.
Due to the phenomenal development of Networking technology, applications and other services, IP networks are preferred for communication, but are more vulnerable to attacks. To cope with the growing menace of security threats, security systems have to be made more intelligent and robust by introducing Intrusion Detection Systems (IDS) in the security layers of a network.
This white paper explores the role of IDS to detect attacks accurately at an early stage to minimize the impact.
Manufacturing though is increasingly being outsourced, developed countries like Germany are toying with the idea of digitizing the entire process to bring down costs and enhance efficiencies. Learn how Germany is doing it, through Industry 4.0.
The financial services industry has never had a better opportunity to embrace a customer-centric approach to doing business. Raising the bar for customer experience can create clear competitive advantages, and a responsive digital channel offering is essential. Here, insiders from the banking industry, the insurance sector and HCL Technologies’ customer experience management principal discuss the challenges of remaining agile in the digital space.
http://www.hcltech.com/financial-services/cxstudio
Digital Customer Care Solutions, Smart Customer Care Solutions, Next Gen Cust...HCL Technologies
Many banking and financial institutions do not want to embrace digital CRM thinking things have remained same for long and will stay so. Though some are willing, they are reluctant because of organizational flexibility. Experts at HCL tell how organizations can overcome this impediment with HCL’s solutions
The Internet of Things. Wharton Guest Lecture by Sandeep Kishore – Corporate ...HCL Technologies
Internet became mainstream around 20 years ago and the rapid pace of technology development we have seen over these years is fascinating. We are now looking at the biggest revolution ever, in the world of connectivity - Internet of Things (IoT). Everything we can think of around us - at home, work, in the car, or at a retail store -- will be interconnected, exchanging data and information, thus leading to an extremely intelligent network of things. It will lead to richer user experience, improved efficiencies and higher collaboration across the ecosystem. Exciting times await us...
Be Digital or Be Extinct. Wharton Guest Lecture by Sandeep Kishore – Corporat...HCL Technologies
The era of Digital Darwinism is upon us. Businesses have no choice but to adopt digital technologies or disappear. Traditional businesses which do not leverage digital technologies risk becoming irrelevant or losing business to native digital companies which understand technology better. The good news is that most companies realize the importance of digital. However, the not so good news is that many still approach digital as “nice” or “cool to have” rather than treating it as an important aspect for business. Digital is no longer good to have: either be digital or be extinct – there is simply no other option.
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.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
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!
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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
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.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
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
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.
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.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
11. Mechanical Reliability Prediction: A Different Approach | 11
Highly recommended methods like field / test data analysis are either highly difficult to perform or not practical to perform
during the design phase. Additionally, these methods have proven to be expensive. If we consider any new methods, they
should reflect the actual usage environment unlike NPRD. Also, unlike field / test data analysis, those mmeetthhooddss sshhoouulldd bbee
possible to use in actual practice and should not be expensive. Considering all these requirements, we can strongly
conclude that the methods explained in this paper - namely NSWC, the PoF approach, and SSI theory - would be highly
suitable to meet the new demands in the aerospace industry for making accurate and cost effective reliability
predictions.
Reference
A. NSWC-11 Handbook of Reliability Prediction Procedures for Mechanical Equipment
B. RADC-TR-66-710 Reliability Prediction Mechanical Stress/Strength Interference Models
C. MMPDS Metallic Materials Properties Development and Standardization
D. NPRD 95 Non-electrical Parts database
E. FMD 97 Failure Mode / Mechanism Distribution 1997
F. “Uncertainties in Material Strength Geometric and Load Variables” by Paul E.Hess, Daniel Bruchman, Ibrahim A. Assakkaf, Bilal M. Ayub.
Author Info
Murali Krishnamoorthy
HCL Engineering and RD Services
Abhay Waghmare
HCL Engineering and RD Services
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