xfem using 1D stefan problem
•Download as PPT, PDF•
1 like•2,400 views
The document discusses the simulation of the 1-dimensional Stefan problem using the extended finite element method (XFEM). It provides an overview of the Stefan problem, analytical solution, conventional numerical modeling techniques, and issues with those techniques. It then describes the implementation of XFEM to model the Stefan problem, including enrichment functions, determining enriched degrees of freedom, validation against analytical solutions, and issues encountered, such as determining initial values when the interface is located at a node. Potential extensions to 2D modeling and future work are also discussed.
Report
Share
Report
Share
![Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Internship project presentation_final_upload
This is my Summer internship project presentation.I have Worked on total three projects and all the brief related details are provided in the presentation.
Thanks to Eckovation.
Soft computing
This document discusses soft computing techniques. Soft computing deals with inexact solutions and uses techniques like fuzzy systems, neural networks, machine learning, and probabilistic reasoning. It summarizes the key differences between hard and soft computing, providing examples of each technique. The document concludes by listing some common applications of soft computing such as handwriting recognition, image processing, and decision support systems.
Basics of Industrial Automation.pdf
Automation is used widely across many industries and applications. Some examples provided include cars which increasingly use automation for safety features like ABS and steering/braking control. Rail vehicles have over 20 interconnected computers controlling braking, traction, diagnostics and more. Airplanes rely heavily on automated flight control, management and recording systems. Launch vehicles have numerous interconnected computers controlling critical functions. Robots are used for tasks like assembly but have limited range. Flexible manufacturing utilizes automation across conveyors, robots, machines and logistics. Oil, gas and petrochemical plants automate offshore drilling and refining processes in hazardous environments. Printing machines precisely control ink, paper and production using automation.
Lecture 17 actuation systems
The document discusses actuation systems for control systems. Actuation systems transform controller outputs into controlling actions. It describes electric, pneumatic, and hydraulic actuation systems. A typical hydraulic power system uses a pump to pressurize oil from a sump through valves and an accumulator. The accumulator helps smooth pressure fluctuations by expanding or contracting a bladder as pressure rises or falls. A pneumatic system similarly uses compressed air or gas.
State space models
This document provides an overview of state space models. It defines the key parts of a state space representation including state variables, state equations, output equations, and gives an example of converting a second order differential equation to state space form. It also describes how to input a state space model into MATLAB using the A, B, C, and D matrices and how to calculate step responses.
Acceleration in 1D Review
This document discusses 1D kinematics and different types of graphs used to represent motion including position vs. time graphs, velocity vs. time graphs, and acceleration vs. time graphs. It provides examples of these graphs and challenges the reader to describe the motion shown in various position vs. time graphs. The document aims to help readers test, review, and reinforce their knowledge of 1D kinematics graphs and motion analysis.
Models & Acceleration
This document discusses different types of models, relationships between variables, and acceleration. It describes three types of models: physical models that can be touched, conceptual models that describe concepts, and graphical models that show relationships between variables on a graph. It also discusses three types of relationships between variables: strong relationships where a small change in one variable causes a big change in the other, weak relationships where this effect is small, and inverse relationships where an increase in one variable causes a decrease in the other. Finally, it defines acceleration as the rate of change of velocity over time and describes three types of acceleration: deceleration, zero acceleration, and positive acceleration.
Recommended
Internship project presentation_final_upload
This is my Summer internship project presentation.I have Worked on total three projects and all the brief related details are provided in the presentation.
Thanks to Eckovation.
Soft computing
This document discusses soft computing techniques. Soft computing deals with inexact solutions and uses techniques like fuzzy systems, neural networks, machine learning, and probabilistic reasoning. It summarizes the key differences between hard and soft computing, providing examples of each technique. The document concludes by listing some common applications of soft computing such as handwriting recognition, image processing, and decision support systems.
Basics of Industrial Automation.pdf
Automation is used widely across many industries and applications. Some examples provided include cars which increasingly use automation for safety features like ABS and steering/braking control. Rail vehicles have over 20 interconnected computers controlling braking, traction, diagnostics and more. Airplanes rely heavily on automated flight control, management and recording systems. Launch vehicles have numerous interconnected computers controlling critical functions. Robots are used for tasks like assembly but have limited range. Flexible manufacturing utilizes automation across conveyors, robots, machines and logistics. Oil, gas and petrochemical plants automate offshore drilling and refining processes in hazardous environments. Printing machines precisely control ink, paper and production using automation.
Lecture 17 actuation systems
The document discusses actuation systems for control systems. Actuation systems transform controller outputs into controlling actions. It describes electric, pneumatic, and hydraulic actuation systems. A typical hydraulic power system uses a pump to pressurize oil from a sump through valves and an accumulator. The accumulator helps smooth pressure fluctuations by expanding or contracting a bladder as pressure rises or falls. A pneumatic system similarly uses compressed air or gas.
State space models
This document provides an overview of state space models. It defines the key parts of a state space representation including state variables, state equations, output equations, and gives an example of converting a second order differential equation to state space form. It also describes how to input a state space model into MATLAB using the A, B, C, and D matrices and how to calculate step responses.
Acceleration in 1D Review
This document discusses 1D kinematics and different types of graphs used to represent motion including position vs. time graphs, velocity vs. time graphs, and acceleration vs. time graphs. It provides examples of these graphs and challenges the reader to describe the motion shown in various position vs. time graphs. The document aims to help readers test, review, and reinforce their knowledge of 1D kinematics graphs and motion analysis.
Models & Acceleration
This document discusses different types of models, relationships between variables, and acceleration. It describes three types of models: physical models that can be touched, conceptual models that describe concepts, and graphical models that show relationships between variables on a graph. It also discusses three types of relationships between variables: strong relationships where a small change in one variable causes a big change in the other, weak relationships where this effect is small, and inverse relationships where an increase in one variable causes a decrease in the other. Finally, it defines acceleration as the rate of change of velocity over time and describes three types of acceleration: deceleration, zero acceleration, and positive acceleration.
Linear regression
A set of notes prepared for an introductory machine learning course, assuming very limited linear algebra background, because all linear algebra operations are fully written out. These notes go into thorough derivations of the generalized linear regression formulation, demonstrating how to write it out in matrix form.
SURF 2012 Final Report(1)
This document discusses methods for performing sparse time-frequency representation (STFR) on signals in 2 dimensions. STFR decomposes signals into intrinsic mode functions (IMFs) by finding the sparsest representation of the signal over a redundant dictionary. The 1D version has been implemented successfully, but extending to 2D is challenging due to the need to update in two directions simultaneously. Several attempted algorithms are described, including applying the 1D algorithm to slices of the 2D signal in different directions and averaging the results. The most recent attempt uses bi-directional slicing to overcome issues with previous global approaches.
Graphical methods for 2 d heat transfer
This document discusses numerical methods for solving two-dimensional heat transfer problems. It begins by explaining that analytical solutions are often not available for modern engineering problems due to complex geometries and boundary conditions. Numerical methods using computers can provide useful approximate solutions. The finite difference method and finite element method are introduced as two common numerical techniques. The finite difference method involves discretizing the domain into a nodal network and deriving finite difference approximations of the governing heat equation at each node to develop a system of algebraic equations that can be solved numerically. Iterative methods like Jacobi and Gauss-Seidel are often used to solve large systems of equations. The document provides examples of applying these concepts to model heat conduction problems.
Intro to modelling_wur
This document provides an introduction to biological modeling using ordinary differential equations (ODEs) and their solution in MATLAB. It discusses modeling techniques like deterministic, probabilistic, and discrete models. It also covers the basics of ODEs, analytical and numerical solutions, and how to implement a model in MATLAB including defining equations, parameters, initial values, and plotting results. Hands-on tutorials are provided to help students practice modeling different biological and physical systems using MATLAB.
Numerical methods for 2 d heat transfer
This document presents a numerical study comparing finite difference and finite volume methods for solving the heat transfer equation during solidification in a complex casting geometry. The study uses a multi-block grid with bilinear interpolation and generalized curvilinear coordinates. Results show good agreement between the two discretization methods, with a slight advantage for the finite volume method due to its use of more nodal information. The multi-block grid approach reduces computational time and allows complex geometries to be accurately modeled while overcoming issues at block interfaces.
Computer Network Assignment Help
I am Bonner G. I am a Computer Network Assignments Expert at computernetworkassignmenthelp.com. I hold a Master's in Computer Science from, the University of Central Florida. I have been helping students with their assignments for the past 7 years. I solve assignments related to the Computer Network.
Visit computernetworkassignmenthelp.com or email support@computernetworkassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with the Computer Network Assignments.
Introduction to Finite Elements
The document provides an introduction to the finite element method (FEM) by comparing it to the finite difference method (FDM) in solving a steady state heat conduction problem. It explains key FEM concepts like weighted residuals, interpolation functions, numerical integration using Gauss quadrature, and applying essential boundary conditions. Examples are presented to illustrate the standard FEM procedure of developing element stiffness matrices, applying nodal connectivity, and assembling the global matrix to obtain a numerical solution.
Algorithm Design and Complexity - Course 3
The document provides an overview of recursive algorithms and complexity analysis. It discusses recursive algorithms, divide and conquer design technique, and several examples of recursive algorithms including Towers of Hanoi, Merge Sort, and Quick Sort. For recursive algorithms, it explains how to analyze their running time using recurrence relations. It then covers four methods for solving recurrence relations: iteration, recursion trees, substitution method, and master theorem. The substitution method and master theorem are described as the most rigorous mathematical approaches.
Fundamentals of Finite Difference Methods
This document provides an overview of finite difference methods for solving partial differential equations. It introduces partial differential equations and various discretization methods including finite difference methods. It covers the basics of finite difference methods including Taylor series expansions, finite difference quotients, truncation error, explicit and implicit methods like the Crank-Nicolson method. It also discusses consistency, stability, and convergence of finite difference schemes. Finally, it applies these concepts to fluid flow equations and discusses conservative and transportive properties of finite difference formulations.
Sienna 4 divideandconquer
Divide-and-conquer is an algorithm design technique that involves dividing a problem into smaller subproblems, solving the subproblems recursively, and combining the solutions. The document discusses several divide-and-conquer algorithms including mergesort, quicksort, and binary search. Mergesort divides an array in half, sorts each half, and then merges the halves. Quicksort picks a pivot element and partitions the array into elements less than and greater than the pivot. Both quicksort and mergesort have average-case time complexity of Θ(n log n).
lecture01.ppt
This document provides an overview of the topics that will be covered in the Numerical Methods course, including an introduction to numerical methods, Taylor series, solution techniques for nonlinear and linear equations, curve fitting, interpolation, numerical integration and differentiation, and solving ordinary and partial differential equations. The course will also cover number representation, floating point representation, rounding and truncation errors, and accuracy and precision in numerical calculations. The document outlines the basic needs for numerical methods, accuracy and practical computation, and summarizes the key concepts and methods that will be discussed over the duration of the course.
Es272 ch5b
This document discusses various interpolation methods:
- Newton's divided differences method uses finite differences to determine polynomial coefficients that fit scattered data points. Lagrange polynomials provide an alternative formulation.
- Spline interpolation smooths transitions by fitting different lower order polynomials to intervals between data points, maintaining continuity of derivatives at knots.
- Inverse interpolation finds the independent variable value corresponding to a given dependent variable value, using normal interpolation and root finding.
Ch 05 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片
The slides of Chapter 5 of the book entitled "MATLAB Applications in Chemical Engineering": Numerical Solution of Partial Differential Equations. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
from_data_to_differential_equations.ppt
Differential equations can be powerful tools for modeling data. New methods allow estimating differential equations directly from data. As an example, the author estimates a differential equation model from simulated data from a chemical reactor. The estimated parameters are close to the true values, demonstrating the method works well on simulated data.
numerical.ppt
This document summarizes the finite difference method for numerically solving heat transfer problems. The method involves establishing a nodal network to discretize the domain, deriving finite difference approximations of the governing heat equation at each node, developing a system of simultaneous algebraic equations relating all nodal temperatures, and solving the system of equations using numerical techniques like matrix inversion or iterative methods. Examples are provided to illustrate the finite difference approximations, formation of the algebraic system, and solution via the Jacobi and Gauss-Seidel iteration methods.
FINITE DIFFERENCE.ppt slides for students
The finite difference method involves establishing nodal networks, deriving finite difference approximations for the governing equations at interior and exterior nodal points, and developing and solving a system of simultaneous algebraic nodal equations. This method is commonly used for heat transfer problems and involves discretizing the domain, deriving equations for each node, and solving the resulting system of equations numerically.
Algorithm review
This document provides an overview of key algorithm analysis concepts including:
- Common algorithmic techniques like divide-and-conquer, dynamic programming, and greedy algorithms.
- Data structures like heaps, graphs, and trees.
- Analyzing the time efficiency of recursive and non-recursive algorithms using orders of growth, recurrence relations, and the master's theorem.
- Examples of specific algorithms that use techniques like divide-and-conquer, decrease-and-conquer, dynamic programming, and greedy strategies.
- Complexity classes like P, NP, and NP-complete problems.
Algo complexity
The document discusses algorithms and their analysis. It defines algorithms as well-defined problem solving steps and discusses analyzing their performance characteristics like time and space complexity. It explains the properties of algorithms like precision, determinism and finiteness. It also discusses different methods of analyzing algorithms like worst-case, average-case and best-case analysis and using asymptotic notations like Big-O to describe time complexity.
algo_vc_lecture8.ppt
This document discusses analyzing recursive algorithms and forming recurrence relations. It provides examples of writing recurrence relations for recursive functions. The key steps are:
1) Identify the base case(s) where recursive calls stop.
2) Express the work done and size of subproblems at each recursive call.
3) Derive the recurrence relation relating the function at different inputs sizes.
The recurrence relation captures the work at each level of recursion and sums the costs to determine overall runtime. Analyzing recurrences helps understand the asymptotic complexity of recursive algorithms.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
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.
National Security Agency - NSA mobile device best practices
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.
More Related Content
Similar to xfem using 1D stefan problem
Linear regression
A set of notes prepared for an introductory machine learning course, assuming very limited linear algebra background, because all linear algebra operations are fully written out. These notes go into thorough derivations of the generalized linear regression formulation, demonstrating how to write it out in matrix form.
SURF 2012 Final Report(1)
This document discusses methods for performing sparse time-frequency representation (STFR) on signals in 2 dimensions. STFR decomposes signals into intrinsic mode functions (IMFs) by finding the sparsest representation of the signal over a redundant dictionary. The 1D version has been implemented successfully, but extending to 2D is challenging due to the need to update in two directions simultaneously. Several attempted algorithms are described, including applying the 1D algorithm to slices of the 2D signal in different directions and averaging the results. The most recent attempt uses bi-directional slicing to overcome issues with previous global approaches.
Graphical methods for 2 d heat transfer
This document discusses numerical methods for solving two-dimensional heat transfer problems. It begins by explaining that analytical solutions are often not available for modern engineering problems due to complex geometries and boundary conditions. Numerical methods using computers can provide useful approximate solutions. The finite difference method and finite element method are introduced as two common numerical techniques. The finite difference method involves discretizing the domain into a nodal network and deriving finite difference approximations of the governing heat equation at each node to develop a system of algebraic equations that can be solved numerically. Iterative methods like Jacobi and Gauss-Seidel are often used to solve large systems of equations. The document provides examples of applying these concepts to model heat conduction problems.
Intro to modelling_wur
This document provides an introduction to biological modeling using ordinary differential equations (ODEs) and their solution in MATLAB. It discusses modeling techniques like deterministic, probabilistic, and discrete models. It also covers the basics of ODEs, analytical and numerical solutions, and how to implement a model in MATLAB including defining equations, parameters, initial values, and plotting results. Hands-on tutorials are provided to help students practice modeling different biological and physical systems using MATLAB.
Numerical methods for 2 d heat transfer
This document presents a numerical study comparing finite difference and finite volume methods for solving the heat transfer equation during solidification in a complex casting geometry. The study uses a multi-block grid with bilinear interpolation and generalized curvilinear coordinates. Results show good agreement between the two discretization methods, with a slight advantage for the finite volume method due to its use of more nodal information. The multi-block grid approach reduces computational time and allows complex geometries to be accurately modeled while overcoming issues at block interfaces.
Computer Network Assignment Help
I am Bonner G. I am a Computer Network Assignments Expert at computernetworkassignmenthelp.com. I hold a Master's in Computer Science from, the University of Central Florida. I have been helping students with their assignments for the past 7 years. I solve assignments related to the Computer Network.
Visit computernetworkassignmenthelp.com or email support@computernetworkassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with the Computer Network Assignments.
Introduction to Finite Elements
The document provides an introduction to the finite element method (FEM) by comparing it to the finite difference method (FDM) in solving a steady state heat conduction problem. It explains key FEM concepts like weighted residuals, interpolation functions, numerical integration using Gauss quadrature, and applying essential boundary conditions. Examples are presented to illustrate the standard FEM procedure of developing element stiffness matrices, applying nodal connectivity, and assembling the global matrix to obtain a numerical solution.
Algorithm Design and Complexity - Course 3
The document provides an overview of recursive algorithms and complexity analysis. It discusses recursive algorithms, divide and conquer design technique, and several examples of recursive algorithms including Towers of Hanoi, Merge Sort, and Quick Sort. For recursive algorithms, it explains how to analyze their running time using recurrence relations. It then covers four methods for solving recurrence relations: iteration, recursion trees, substitution method, and master theorem. The substitution method and master theorem are described as the most rigorous mathematical approaches.
Fundamentals of Finite Difference Methods
This document provides an overview of finite difference methods for solving partial differential equations. It introduces partial differential equations and various discretization methods including finite difference methods. It covers the basics of finite difference methods including Taylor series expansions, finite difference quotients, truncation error, explicit and implicit methods like the Crank-Nicolson method. It also discusses consistency, stability, and convergence of finite difference schemes. Finally, it applies these concepts to fluid flow equations and discusses conservative and transportive properties of finite difference formulations.
Sienna 4 divideandconquer
Divide-and-conquer is an algorithm design technique that involves dividing a problem into smaller subproblems, solving the subproblems recursively, and combining the solutions. The document discusses several divide-and-conquer algorithms including mergesort, quicksort, and binary search. Mergesort divides an array in half, sorts each half, and then merges the halves. Quicksort picks a pivot element and partitions the array into elements less than and greater than the pivot. Both quicksort and mergesort have average-case time complexity of Θ(n log n).
lecture01.ppt
This document provides an overview of the topics that will be covered in the Numerical Methods course, including an introduction to numerical methods, Taylor series, solution techniques for nonlinear and linear equations, curve fitting, interpolation, numerical integration and differentiation, and solving ordinary and partial differential equations. The course will also cover number representation, floating point representation, rounding and truncation errors, and accuracy and precision in numerical calculations. The document outlines the basic needs for numerical methods, accuracy and practical computation, and summarizes the key concepts and methods that will be discussed over the duration of the course.
Es272 ch5b
This document discusses various interpolation methods:
- Newton's divided differences method uses finite differences to determine polynomial coefficients that fit scattered data points. Lagrange polynomials provide an alternative formulation.
- Spline interpolation smooths transitions by fitting different lower order polynomials to intervals between data points, maintaining continuity of derivatives at knots.
- Inverse interpolation finds the independent variable value corresponding to a given dependent variable value, using normal interpolation and root finding.
Ch 05 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片
The slides of Chapter 5 of the book entitled "MATLAB Applications in Chemical Engineering": Numerical Solution of Partial Differential Equations. Author: Prof. Chyi-Tsong Chen (陳奇中教授); Center for General Education, National Quemoy University; Kinmen, Taiwan; E-mail: chyitsongchen@gmail.com.
Ebook purchase: https://play.google.com/store/books/details/MATLAB_Applications_in_Chemical_Engineering?id=kpxwEAAAQBAJ&hl=en_US&gl=US
from_data_to_differential_equations.ppt
Differential equations can be powerful tools for modeling data. New methods allow estimating differential equations directly from data. As an example, the author estimates a differential equation model from simulated data from a chemical reactor. The estimated parameters are close to the true values, demonstrating the method works well on simulated data.
numerical.ppt
This document summarizes the finite difference method for numerically solving heat transfer problems. The method involves establishing a nodal network to discretize the domain, deriving finite difference approximations of the governing heat equation at each node, developing a system of simultaneous algebraic equations relating all nodal temperatures, and solving the system of equations using numerical techniques like matrix inversion or iterative methods. Examples are provided to illustrate the finite difference approximations, formation of the algebraic system, and solution via the Jacobi and Gauss-Seidel iteration methods.
FINITE DIFFERENCE.ppt slides for students
The finite difference method involves establishing nodal networks, deriving finite difference approximations for the governing equations at interior and exterior nodal points, and developing and solving a system of simultaneous algebraic nodal equations. This method is commonly used for heat transfer problems and involves discretizing the domain, deriving equations for each node, and solving the resulting system of equations numerically.
Algorithm review
This document provides an overview of key algorithm analysis concepts including:
- Common algorithmic techniques like divide-and-conquer, dynamic programming, and greedy algorithms.
- Data structures like heaps, graphs, and trees.
- Analyzing the time efficiency of recursive and non-recursive algorithms using orders of growth, recurrence relations, and the master's theorem.
- Examples of specific algorithms that use techniques like divide-and-conquer, decrease-and-conquer, dynamic programming, and greedy strategies.
- Complexity classes like P, NP, and NP-complete problems.
Algo complexity
The document discusses algorithms and their analysis. It defines algorithms as well-defined problem solving steps and discusses analyzing their performance characteristics like time and space complexity. It explains the properties of algorithms like precision, determinism and finiteness. It also discusses different methods of analyzing algorithms like worst-case, average-case and best-case analysis and using asymptotic notations like Big-O to describe time complexity.
algo_vc_lecture8.ppt
This document discusses analyzing recursive algorithms and forming recurrence relations. It provides examples of writing recurrence relations for recursive functions. The key steps are:
1) Identify the base case(s) where recursive calls stop.
2) Express the work done and size of subproblems at each recursive call.
3) Derive the recurrence relation relating the function at different inputs sizes.
The recurrence relation captures the work at each level of recursion and sums the costs to determine overall runtime. Analyzing recurrences helps understand the asymptotic complexity of recursive algorithms.
Similar to xfem using 1D stefan problem (20)
Ch 05 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片
Ch 05 MATLAB Applications in Chemical Engineering_陳奇中教授教學投影片
Recently uploaded
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
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.
National Security Agency - NSA mobile device best practices
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
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/albumentationsBuilding RAG with self-deployed Milvus vector database and Snowpark Container...
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Artificial Intelligence for XMLDevelopment
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.
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
Recently uploaded (20)
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
xfem using 1D stefan problem
- 1. Simulation of 1-d Stefan Problem using XFEM V. S. S. Srinivas
- 3. Stefan problem T=T 0 0 °C Initial Temperature = 0°C h(t) Governing equations Initial and boundary conditions
- 4. Analytical solution Solve the transcendental equation, get Transcendental equation: Temperature profile: Interface position:
- 7. Enriched shape function Level set function in 1d: Interface position: x b , Element length: l e =1 X b =0.5 X b =0.3
- 8. Contd.. X b =0.5 X b =0.3
- 13. A peep into the matrices Governing equation after applying weighted residuals Discretized equation: Unsymmetric Symmetric
- 14. Validation: Numerical against Analytical
- 16. T versus x at different times
- 22. Thank you