DSD-INT 2017 Introduction to the WFlow framework - SchellekensDeltares
Presentation by Jaap Schellekens (Deltares) at the Symposium on catchment hydrology and WFlow, during Delft Software Days - Edition 2017. Tuesday, 24 October 2017, Delft.
DSD-INT 2017 Linking rainfall recharge models with groundwater models in NGMS...Deltares
Presentation by Rolf Farrell, Environment Agency UK, at the Delft-FEWS - International User Days, during Delft Software Days - Edition 2017. Wednesday, 25 October 2017, Delft.
DSD-INT 2017 WFlow - MODFLOW and Reservoirs - Van VerseveldDeltares
Presentation by Willem van Verseveld (Deltares) at the Symposium on catchment hydrology and WFlow, during Delft Software Days - Edition 2017. Tuesday, 24 October 2017, Delft.
DSD-INT 2017 Introduction to the WFlow framework - SchellekensDeltares
Presentation by Jaap Schellekens (Deltares) at the Symposium on catchment hydrology and WFlow, during Delft Software Days - Edition 2017. Tuesday, 24 October 2017, Delft.
DSD-INT 2017 Linking rainfall recharge models with groundwater models in NGMS...Deltares
Presentation by Rolf Farrell, Environment Agency UK, at the Delft-FEWS - International User Days, during Delft Software Days - Edition 2017. Wednesday, 25 October 2017, Delft.
DSD-INT 2017 WFlow - MODFLOW and Reservoirs - Van VerseveldDeltares
Presentation by Willem van Verseveld (Deltares) at the Symposium on catchment hydrology and WFlow, during Delft Software Days - Edition 2017. Tuesday, 24 October 2017, Delft.
DSD-INT 2018 Latest developments in Dutch river applications using the Delft3...Deltares
Presentation by Jurjen de Jong, Deltares, The Netherlands, at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2018. Monday, 12 November 2018, Delft.
The concepts related of the New Model of River Adige, and especially an analysys of the existing OMS components ready and their interpretation on the basis of travel time approaches
In this deck from the HPC User Forum, Zachary Cobell from ARCADIS-US presents: High Performance Computing for the Louisiana Coastal Master Plan.
Watch the video presentation: http://insidehpc.com/2015/09/video-hpc-for-the-louisiana-coastal-master-plan/
Learn more: http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Determining The Coefficient Of Tr, Α And River Length (L) Of Flood Runoff Mod...iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
DSD-INT 2017 Delft-FEWS using computational resources of the cloud - HowDeltares
Presentation by Andrew How, Natural Resources Wales, at the Delft-FEWS - International User Days, during Delft Software Days - Edition 2017. Wednesday, 25 October 2017, Delft.
DSD-INT 2018 River Temperature Modeling, USA - BoyingtonDeltares
Presentation by Matt Boyington, Tennessee Valley Authority (TVA), USA, at the Delft3D - User Days (Day 2: Hydrodynamics), during Delft Software Days - Edition 2018. Tuesday, 13 November 2018, Delft.
Applications of Lattice Boltzmann Method in Dynamic Modelling of Fluid FlowsAngshuman Pal
Computational Fluid Dynamics techniques are an important development in the study of fluid behaviour where complicated differential equations involving complex geometries and irregular flows can be solved using iterative numerical techniques. Such techniques are being used extensively in the field of fluid mechanics and heat transfer. Solving the Navier Stokes equation for viscous fluids is of particular importance in this field.
The Lattice Boltzmann Method is an alternative to the commonly used discretization principle for solving the Navier Stokes equation. It deals with the properties of fluid particles on a micro scale and subsequently uses them to generate the model of the entire flow domain on a macro scale. The flow domain is broken up into lattices inhabited by finitely many fluid particles. Governed by rules of streaming and collision, all the particles together generate the model of the entire flow.
A detailed study is performed on the LBM model and its underlying principles. A program for its execution is written in MATLAB environment. Simulations are run on a simple geometry involving steady flow through a circular pipe. The results obtained are analysed and verified against the expected results given by mathematical models and actual experimentation.
Numerical modeling in support of the characterization and remediation of impacted sediments can be a challenging task, particularly in environments where multiple physical processes influence sediment fate and transport. The interaction of various controls is particularly complex in estuarine settings, where riverine input, water levels, waves, and other coastal processes combine to create a seasonally dynamic environment. Modeling of such environments requires a comprehensive and integrated approach such that the effects of each process can be assessed individually, as these processes can be allowed to interact to reproduce the natural environment as faithfully as possible
Approach and Activities
This contribution describes the development and calibration of an integrated Delft3D numerical model that includes flow, sediment transport, wave processes, and vegetation. The model boundary conditions are based on data collected during a comprehensive field program. Field data were also used to calibrate various model input parameters (such as bed and vegetation roughness). The model was used to understand erosion and deposition during both low and high flow regimes, and thus to aid in understanding important controls on sedimentary dynamics during these predominant regimes.
Results and Lessons Learned
The integrated numerical model predictions capture important sedimentation, erosion, velocity, and water level patterns. Model predictions indicate that during periods of low riverine input, velocity patterns and sediment transport associated with periodic water level changes dominate. During riverine flood conditions flow and sedimentation patterns are controlled by the river itself. Integrated modeling of this setting, including calibration to field data provides a valuable tool for assessment of future conditions, and thus for remediating impacted sediments.
DSD-INT 2018 Latest developments in Dutch river applications using the Delft3...Deltares
Presentation by Jurjen de Jong, Deltares, The Netherlands, at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2018. Monday, 12 November 2018, Delft.
The concepts related of the New Model of River Adige, and especially an analysys of the existing OMS components ready and their interpretation on the basis of travel time approaches
In this deck from the HPC User Forum, Zachary Cobell from ARCADIS-US presents: High Performance Computing for the Louisiana Coastal Master Plan.
Watch the video presentation: http://insidehpc.com/2015/09/video-hpc-for-the-louisiana-coastal-master-plan/
Learn more: http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Determining The Coefficient Of Tr, Α And River Length (L) Of Flood Runoff Mod...iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
DSD-INT 2017 Delft-FEWS using computational resources of the cloud - HowDeltares
Presentation by Andrew How, Natural Resources Wales, at the Delft-FEWS - International User Days, during Delft Software Days - Edition 2017. Wednesday, 25 October 2017, Delft.
DSD-INT 2018 River Temperature Modeling, USA - BoyingtonDeltares
Presentation by Matt Boyington, Tennessee Valley Authority (TVA), USA, at the Delft3D - User Days (Day 2: Hydrodynamics), during Delft Software Days - Edition 2018. Tuesday, 13 November 2018, Delft.
Applications of Lattice Boltzmann Method in Dynamic Modelling of Fluid FlowsAngshuman Pal
Computational Fluid Dynamics techniques are an important development in the study of fluid behaviour where complicated differential equations involving complex geometries and irregular flows can be solved using iterative numerical techniques. Such techniques are being used extensively in the field of fluid mechanics and heat transfer. Solving the Navier Stokes equation for viscous fluids is of particular importance in this field.
The Lattice Boltzmann Method is an alternative to the commonly used discretization principle for solving the Navier Stokes equation. It deals with the properties of fluid particles on a micro scale and subsequently uses them to generate the model of the entire flow domain on a macro scale. The flow domain is broken up into lattices inhabited by finitely many fluid particles. Governed by rules of streaming and collision, all the particles together generate the model of the entire flow.
A detailed study is performed on the LBM model and its underlying principles. A program for its execution is written in MATLAB environment. Simulations are run on a simple geometry involving steady flow through a circular pipe. The results obtained are analysed and verified against the expected results given by mathematical models and actual experimentation.
Numerical modeling in support of the characterization and remediation of impacted sediments can be a challenging task, particularly in environments where multiple physical processes influence sediment fate and transport. The interaction of various controls is particularly complex in estuarine settings, where riverine input, water levels, waves, and other coastal processes combine to create a seasonally dynamic environment. Modeling of such environments requires a comprehensive and integrated approach such that the effects of each process can be assessed individually, as these processes can be allowed to interact to reproduce the natural environment as faithfully as possible
Approach and Activities
This contribution describes the development and calibration of an integrated Delft3D numerical model that includes flow, sediment transport, wave processes, and vegetation. The model boundary conditions are based on data collected during a comprehensive field program. Field data were also used to calibrate various model input parameters (such as bed and vegetation roughness). The model was used to understand erosion and deposition during both low and high flow regimes, and thus to aid in understanding important controls on sedimentary dynamics during these predominant regimes.
Results and Lessons Learned
The integrated numerical model predictions capture important sedimentation, erosion, velocity, and water level patterns. Model predictions indicate that during periods of low riverine input, velocity patterns and sediment transport associated with periodic water level changes dominate. During riverine flood conditions flow and sedimentation patterns are controlled by the river itself. Integrated modeling of this setting, including calibration to field data provides a valuable tool for assessment of future conditions, and thus for remediating impacted sediments.
DSD-NL 2021 WaterCoach, here and in Australia - WangDeltares
Presentatie door Steve Wang (Seqwater), op de Delft-FEWS NL Gebruikersdag 2021 - deel 2, tijdens de Deltares Software Dagen - Editie 2021. Dinsdag, 22 juni 2021, Delft.
The International Journal of Mechanical Engineering Research and Technology is an international online journal in English published Quarterly offers a speed publication schedule with the whilst maintaining rigorous proper review and the use of recommended electronic formats for an article delivery of expedites the process of All submitted research articles are subjected to immediate quick screening by the editors consultation with the Editorial Board or others working in the field as appropriate to ensure that they are alike to be the level of interest and importance of appropriate for the journal.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Hydrologic data generally consist of a sequence of observations of some phase of the hydrologic cycle made at a particular site. The data may be a record of the discharge of a stream at a particular place, or it may be a record of the amount of rainfall caught in a particular rain gage.
Although for most hydrologic purposes a long record is preferred to a short one, the user should recognize that the longer the record the greater the chance that there has been a change in the physical conditions of the basin or in the methods of data collection. If these are appreciable, the composite record would represent only a nonexistent condition and not one that existed either before or after the change. Such a record is inconsistent.
Seven Most tenable applications of AI o Water Resources ManagementMrinmoy Majumder
AI or Artificial Intelligence is a pioneering technique that has enabled the creation of intelligent machines.or smart machines which has the power to self adapt based on the situation presented to it. It requires situations whose response is known and based on this training data set it learns the problems which it has to solve when it is ready. Due to the alarming success with AI in robotics, electronics etc fields the same technique is now used to solve the problems of water resource management.. This ppt shows seven most notable use of AI in water resources-based problems where satisfactory improvement has encouraged further application of the technique.
One of marine current power plant equipment is turbine. In the design of marine current turbines required variables such as velocity and kinetic energy. This paper presents numerical study on a numerical design of marine current for predicting velocity and kinetic energy in the Bangka strait, North Sulawesi, Indonesia that developed from Yaxum/3D model. This study includes the simulation of velocity and kinetic energy distributions at low and high tide current conditions by two flow rates of 0.1 and 0.3 Sv respectively. The numerical method used to design computational program. Semi-implicit finite difference method used to 3D shallow water flow. It found distributions of velocity and kinetic energy at high tide current condition greater than low tide current condition. The future, these results will be developed in marine current power plant project in the Bangka strait, North Sulawesi, Indonesia.
Towards Distributed, Semi-Automatic Content-Based Visual Information Retrieva...Christian Kehl
Talk on big media archive visual indexing using Convolutional Neural Networks on different High-Performance Computing Platforms, developing new parametrization schemes. Talk and Poster were presented at International Supercomputing Conference 2015 (Frankfurt a. Main / Germany)
Master Thesis: Conformal multi-material mesh generation from labelled medical...Christian Kehl
An important step in orthopaedic pre-operative planning is the generation of accurate volume meshes out of segmented volume image. These meshes are used in patient-specific, bio-mechanical finite element simulations to optimize positioning and design of implants. The development of accurate, multi-material volume meshing methods for medical applications is an active and interdisciplinary field of research. Several methods in the field that were proposed in recent years claim to accurately perform the task, each concept with its advantages and disadvantages. The approaches to the task are diverse. The question is: Which approach is the most suitable one? How do we evaluate the excellence of such methods ? What criteria can be applied to measure the quality of a multi-labelled volume mesh ? And which ones have the most impact on the subsequent simulation, so that stress calculations on the implant are realistic and correct ?
These are the basic research questions that are discussed in this work.
Graph theory - Traveling Salesman and Chinese PostmanChristian Kehl
Traveling Salesman and Chinese Postman problems
1. Problem Description and Complexity
2. Theoretical Approach
3. Practical Approaches and Possible Solutions
4. Examples
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
2. Computational Fluid Dynamics
• simulate the advection/motion of water
• Necessary:
– starting condition (water levels/distribution)
– starting momentum
• Conservation of Momentum:
m1u1 m2u2 m1v1 m2u2
3. Particle-based hydrodynamics
• approximation: water consists of particles
• initial momentum associated to some
particles
• compute particle interaction (momentum
transfer) on contact with neighbourhood
• conservation of momentum as driving force
• good method to compute contact with objects
(different materials)
5. Voxel-based hydrodynamics
• water levels represented in volume image
• momentum given in vector image
• conservation of momentum via finite
difference
• memory-heavy representation
• easy to speed up on current hardware
architectures
• for real-world examples infeasible
7. Mesh-based hydrodynamics
• water is stored as 3D mesh with mass and
momentum attributes
• conservation of mass and momentum via FEA
• drawbacks:
– accurate volume mesh generation necessary
– slow runtime
• advantage: highly accurate (depending on the
mesh)