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1) Using map service usage reports to monitor map service performance and usage.
2) Updating map caches to ensure map services remain fast by reconciling edits and refreshing affected tiles.
3) Keeping services fast by periodically loading map services in a web browser to prevent caching.
4) Restarting ArcGIS Server components using the Services console to resolve issues.
Lorentz transformations are used in particle physics because they describe how measurements of space and time are related between observers moving at constant velocities, which is important when particles move near the speed of light. Galilean transformations do not account for the speed of light and are therefore not accurate enough for particle physics where velocities approach light speed. Applying Lorentz transformations to experimental data sets of particles brings their measurements into a common rest frame and allows for symmetrical analysis that reveals insights about particle behavior.
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This document summarizes three topics: the Dawn mission to Ceres and Vesta, exospheric and thermal modeling of Ceres and Vesta, and the Rosetta mission to comet 67P. The Dawn mission arrived at Vesta in 2011 and obtained the first orbital images, before departing and arriving at Ceres in 2015. Thermal modeling of Ceres suggests it has a weak exosphere produced by sublimation of surface water ice. Thermal modeling was also applied to Vesta to investigate whether it has an exosphere, but results were inconclusive. The Rosetta mission rendezvoused with and orbited comet 67P, providing the first detailed observations of surface properties and outgassing jets.
The document describes two MATLAB projects involving magnetic levitation and an adaptive headlight control system for vehicles.
The magnetic levitation project involved designing an observer-based controller model for levitation of a steel ball using MATLAB, Simulink, and dSPACE hardware. The second project developed an adaptive light control feature using a shutter and servomotors to direct headlights based on road conditions and prevent glare, simulated in Simulink and implemented on dSPACE hardware. Both projects used real-time modeling and hardware interfacing tools.
Oleg Antipin "Revisiting the decoupling effects in the running of the Cosmolo...SEENET-MTP
1) The document discusses revisiting the effects of decoupling in the running cosmological constant. It focuses on the renormalization group running of the cosmological constant within quantum field theory.
2) A case study examines the running of the cosmological constant using a real scalar field model. Calculations are performed in both the MS-bar and MOM renormalization schemes.
3) The standard model is also examined as a case study. The running of the induced and vacuum cosmological constants is calculated.
4) Applications include exploring connections between fine-tuning of the Higgs mass and cosmological constant in massless theories, and generalizing to theories in constant curvature space.
This document discusses several popular convolutional neural network models that have achieved state-of-the-art results on the ImageNet visual recognition challenge: AlexNet, VGG, GoogLeNet, and ResNet. It provides details on the architecture and contributions of each model, including AlexNet's use of ReLU activation, dropout regularization, and data augmentation which helped it significantly outperform other models at the time. VGG improved on this with very deep convolutional networks using only 3x3 filters. GoogLeNet introduced inception modules and auxiliary outputs to reduce parameters and computational cost. ResNet solved the degradation problem of deeper networks with residual learning and identity mappings.
This document discusses tools and techniques for managing an ArcGIS Server enterprise system, including:
1) Using map service usage reports to monitor map service performance and usage.
2) Updating map caches to ensure map services remain fast by reconciling edits and refreshing affected tiles.
3) Keeping services fast by periodically loading map services in a web browser to prevent caching.
4) Restarting ArcGIS Server components using the Services console to resolve issues.
Lorentz transformations are used in particle physics because they describe how measurements of space and time are related between observers moving at constant velocities, which is important when particles move near the speed of light. Galilean transformations do not account for the speed of light and are therefore not accurate enough for particle physics where velocities approach light speed. Applying Lorentz transformations to experimental data sets of particles brings their measurements into a common rest frame and allows for symmetrical analysis that reveals insights about particle behavior.
CWIN17 India / Ibm quantum computing cwin 2017 session virtualCapgemini
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Profiling fluid flow past an immersed object withAritra Nath
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This document summarizes a research paper about multi-agent snake-like motion with reactive obstacle avoidance. The paper proposes a conceptual model that maps physical chains and robotic swarms to a multi-agent system with agents representing links and joints. Each agent follows reactive rules to preserve constraints as it responds to state changes in neighboring agents, allowing the chain to navigate obstacles in real-time through a process of event propagation and vetoing. Simulation results demonstrate the approach enables snake-like formations to pass through narrow corridors.
Computational fluid dynamics (CFD) uses computers to model fluid flow by solving the Navier-Stokes equations. CFD was used to simulate water flow in a water tunnel to validate fish simulation software. The water tunnel geometry was modeled and meshes were generated. Boundary conditions were applied and simulations run to obtain velocity profiles. Laser Doppler velocimetry in the water tunnel validated the CFD results. With validated CFD results, a fish simulation program can now be used to predict how fish interact with hydroelectric machinery under different flow conditions.
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The effective use of streamline simulators for flow simulation of multi-million cell detailed 3D models relies on the ability to take large simulation time-steps with few pressure solutions. For processes that are convective, the streamline approach works quite well while for flow simulation with compressibility, strong capillarity or strong gravity terms, the maximum time step size may be substantially reduced, limiting the utility of streamline simulation. This is the case when applying the conventional streamline operator-splitting approach, where the nonlinear terms associated with capillarity and gravity limit the time step. Earlier studies have shown the importance of an anti-diffusive correction in which numerical dispersion from the convective solution must be removed before capillary pressure can be accurately modeled. Evaluation of the antidiffusive term involves the solution of a local Riemann problem which, unfortunately, is difficult to determine in full field multi-dimensional problems with heterogeneity, and spatially variable viscosity, fluid velocity, and saturations. The alternative approach is to perform the operating splitting calculation with very small time-steps to minimize the numerical dispersion, but this is not an effective simulation strategy.
This project studied the flow structure of a rotating plate to identify conditions that produce a stable leading edge vortex. Dye flow visualization was used to observe the flow at different tip speed ratios and 30 degrees angle of attack. Particle Image Velocimetry will be used in future studies. The parameters were selected based on a previous study. Experimentation varied the tip speed ratio from 1 to 7 while keeping the angle of attack constant. As the tip speed ratio increased, flow separation decreased and occurred closer to the root, and the leading edge vortex grew larger but became unstable at higher speeds. The most stable vortex was at a tip speed ratio of 5.
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This document describes an intelligent water drop algorithm for optimization problems. It discusses how the algorithm is inspired by the natural behavior of water drops flowing in rivers. The algorithm uses virtual water drops that change the "soil" levels on graph edges to iteratively find optimal solutions. Pseudocode is provided to explain the algorithm's implementation and a flowchart shows the process. Comparisons are made to ant colony optimization algorithms and potential applications and future work are outlined.
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Physically accurate computer simulations of fluids such as water, gasses and air have for many years been a valuable complement to experimental methods in examining the flow around airplanes, cars, wind turbines etc. Recently physically based simulation of fluids has also been adopted in computer graphics, where such techniques are required to faithfully reproduce the visually complex motion of fluids that is very hard to animate in a traditional sense. However, the demands are different in graphics where the visual properties of the fluid have to impose character on the fluid in addition to adhering to the vision of an artist or a director. This poses entirely new research challenges for fluid simulation in computer graphics where artistic control, low simulation cost and visual richness are in focus. In this presentation I will motivate the use of physically based fluid simulation for computer graphics, show examples of state of the art and go into more depth with a recent fluid control framework developed at Aarhus University in collaboration with DreamWorks Animation and Digital Domain. I will elaborate both on the final technique and results as well as on the process that took us there, including challenges faced and approaches that turned out not to be successful.
Basics of Electrochemical Impedance SpectroscopyGamryInstruments
An introduction to Electrochemical Impedance Spectroscopy (EIS) theory and has been kept as free from mathematics and electrical theory as possible. If you still find the material presented here difficult to understand, don't stop reading. You will get useful information from this application note, even if you don't follow all of the discussions.
A reference frame defines a set of coordinates used to determine positions and velocities of objects. There are different types of reference frames including inertial frames with no acceleration and non-inertial frames with acceleration. In computational fluid dynamics, reference frames are mainly used in rotating flow simulations to transform unsteady problems into steady problems. Single and multiple rotating reference frames can be used in software like FLUENT. Interface treatments for different velocity formulations are used to transfer velocity and gradient data between reference frames.
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Unmanned aerial systems (UASs) have unprecedented potential in various fields, from surveillance to packet delivery. The swarms formed by multiple UAS increase the number of potential UAS applications as they can be utilized for complicated tasks. Therefore, various swarming methodologies are proposed to coordinate the UAS positions in swarms. Virtual forces and molecular geometry based approaches have been instrumental in UAS swarming applications. These approaches apply forces between UAS nodes similar to electron pairs for near-ideal volume coverage. However, the ratio of these forces and the stability of the node positions in the network have been vexing challenges. In this paper, we propose an approach to optimize the virtual forces for a stable 3D swarming behavior in a realistic communications environment. The results of extensive simulations show that the approach can identify the relationship among the attractive and repulsive virtual forces for given positional properties of a UAS swarm.
The document discusses David Vernier and his company's datalogging systems for science education, including their LabQuest and LoggerPro products. It describes how the systems make data collection and analysis easy and affordable for students and teachers. A variety of experiments are highlighted that use the datalogging systems to explore physics, chemistry, and biology concepts through direct measurement and analysis of real-time data.
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
Profiling fluid flow past an immersed object withAritra Nath
This document discusses using the Lattice Boltzmann Method (LBM) to simulate fluid flow on a GPU. LBM divides the simulation domain into a 2D lattice and uses fictive particle distributions that propagate and collide over the lattice. Key kernels implement collision, propagation, and boundary conditions in parallel. The document studies flow profiles by varying simulation parameters like viscosity and velocity to compare iteration sequences and observe turbulence.
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This document describes an experiment to understand hydrodynamic forces on a floating body. The author manufactured an experimental rig and selected transducers to measure displacement, acceleration, pressure, and create vibrations. Tests were conducted with and without water, and results compared to theoretical values using multiple scale analysis and the Duffing equation. The rig design achieved the desired results but could be improved for accuracy and real-world applications.
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This document summarizes a research paper about multi-agent snake-like motion with reactive obstacle avoidance. The paper proposes a conceptual model that maps physical chains and robotic swarms to a multi-agent system with agents representing links and joints. Each agent follows reactive rules to preserve constraints as it responds to state changes in neighboring agents, allowing the chain to navigate obstacles in real-time through a process of event propagation and vetoing. Simulation results demonstrate the approach enables snake-like formations to pass through narrow corridors.
Computational fluid dynamics (CFD) uses computers to model fluid flow by solving the Navier-Stokes equations. CFD was used to simulate water flow in a water tunnel to validate fish simulation software. The water tunnel geometry was modeled and meshes were generated. Boundary conditions were applied and simulations run to obtain velocity profiles. Laser Doppler velocimetry in the water tunnel validated the CFD results. With validated CFD results, a fish simulation program can now be used to predict how fish interact with hydroelectric machinery under different flow conditions.
The document discusses computational water models used in computer graphics and computational fluid dynamics. It covers four main methods: procedural methods, Navier-Stokes based methods (Lagrangian and Eulerian), shallow water equations, and lattice Boltzmann method. While procedural methods are fastest, the other methods provide more realistic simulations but are more computationally expensive. Hybrid approaches allow additional water effects to be modeled.
A novel approach for incorporation of capillary and gravity into streamline s...Shusei Tanaka
The effective use of streamline simulators for flow simulation of multi-million cell detailed 3D models relies on the ability to take large simulation time-steps with few pressure solutions. For processes that are convective, the streamline approach works quite well while for flow simulation with compressibility, strong capillarity or strong gravity terms, the maximum time step size may be substantially reduced, limiting the utility of streamline simulation. This is the case when applying the conventional streamline operator-splitting approach, where the nonlinear terms associated with capillarity and gravity limit the time step. Earlier studies have shown the importance of an anti-diffusive correction in which numerical dispersion from the convective solution must be removed before capillary pressure can be accurately modeled. Evaluation of the antidiffusive term involves the solution of a local Riemann problem which, unfortunately, is difficult to determine in full field multi-dimensional problems with heterogeneity, and spatially variable viscosity, fluid velocity, and saturations. The alternative approach is to perform the operating splitting calculation with very small time-steps to minimize the numerical dispersion, but this is not an effective simulation strategy.
This project studied the flow structure of a rotating plate to identify conditions that produce a stable leading edge vortex. Dye flow visualization was used to observe the flow at different tip speed ratios and 30 degrees angle of attack. Particle Image Velocimetry will be used in future studies. The parameters were selected based on a previous study. Experimentation varied the tip speed ratio from 1 to 7 while keeping the angle of attack constant. As the tip speed ratio increased, flow separation decreased and occurred closer to the root, and the leading edge vortex grew larger but became unstable at higher speeds. The most stable vortex was at a tip speed ratio of 5.
Quantum Computation for Predicting Electron and Phonon Properties of SolidsKAMAL CHOUDHARY
This document outlines a workflow for using quantum computing to simulate electron and phonon properties of solids. It discusses the motivation for using quantum bits to simulate quantum systems more easily. It provides background on band theory of solids, quantum algorithms like VQE and circuit models. The workflow is then applied to calculate properties of aluminum metal and over 1000 other materials using classical and quantum solvers. Future opportunities and challenges are also discussed.
The document proposes a feedback control solution called ELASTIC to address quality of experience (QoE) issues with adaptive video streaming algorithms. ELASTIC uses feedback linearization to control the playback buffer level and drive it to a set point, avoiding the on-off traffic patterns of conventional algorithms that can cause unfairness and underutilization. The paper compares ELASTIC to conventional and PANDA algorithms through experiments on a controlled testbed, finding that ELASTIC achieves full bottleneck utilization, fair sharing with TCP flows, and better maintains video quality metrics like rebuffering ratio and level switches.
This document describes an intelligent water drop algorithm for optimization problems. It discusses how the algorithm is inspired by the natural behavior of water drops flowing in rivers. The algorithm uses virtual water drops that change the "soil" levels on graph edges to iteratively find optimal solutions. Pseudocode is provided to explain the algorithm's implementation and a flowchart shows the process. Comparisons are made to ant colony optimization algorithms and potential applications and future work are outlined.
This document summarizes an experiment studying the effects of operational conditions on microbial fuel cells (MFCs) used to generate electricity from wastewater. Twelve MFC reactors were created and inoculated with microbes and swine waste. Most reactors did not survive linear sweep voltammetry testing, which stressed the microbes. The surviving reactor was subjected to a day/night cycle, but the cathode was found to be unsuitable for biofilm growth. Future plans include testing reactors before inoculation to ensure consistency and making the environment more suitable for microbes.
This document discusses the application of synchronized phasor measurement in real-time wide-area monitoring. It provides an overview of phasor and synchrophasor measurement techniques using Fourier transforms. It also discusses power system stability and transient stability. The document demonstrates the monitoring of a multi-machine system using synchronized phasor measurements by simulating various fault conditions and load changes on a 3-machine, 9-bus system and observing the results with a phasor measurement unit to analyze stability.
Physically accurate computer simulations of fluids such as water, gasses and air have for many years been a valuable complement to experimental methods in examining the flow around airplanes, cars, wind turbines etc. Recently physically based simulation of fluids has also been adopted in computer graphics, where such techniques are required to faithfully reproduce the visually complex motion of fluids that is very hard to animate in a traditional sense. However, the demands are different in graphics where the visual properties of the fluid have to impose character on the fluid in addition to adhering to the vision of an artist or a director. This poses entirely new research challenges for fluid simulation in computer graphics where artistic control, low simulation cost and visual richness are in focus. In this presentation I will motivate the use of physically based fluid simulation for computer graphics, show examples of state of the art and go into more depth with a recent fluid control framework developed at Aarhus University in collaboration with DreamWorks Animation and Digital Domain. I will elaborate both on the final technique and results as well as on the process that took us there, including challenges faced and approaches that turned out not to be successful.
Basics of Electrochemical Impedance SpectroscopyGamryInstruments
An introduction to Electrochemical Impedance Spectroscopy (EIS) theory and has been kept as free from mathematics and electrical theory as possible. If you still find the material presented here difficult to understand, don't stop reading. You will get useful information from this application note, even if you don't follow all of the discussions.
A reference frame defines a set of coordinates used to determine positions and velocities of objects. There are different types of reference frames including inertial frames with no acceleration and non-inertial frames with acceleration. In computational fluid dynamics, reference frames are mainly used in rotating flow simulations to transform unsteady problems into steady problems. Single and multiple rotating reference frames can be used in software like FLUENT. Interface treatments for different velocity formulations are used to transfer velocity and gradient data between reference frames.
This document discusses using computational fluid dynamics (CFD) to analyze wind loads on heliostats for concentrating solar power plants. CFD could provide an alternative to expensive wind tunnel testing. The study examines simulations of flat plates and a heliostat model using different turbulence models. The Realizable k-ε model produced the most accurate results and was selected for further heliostat simulations. Simulations showed CFD can estimate basic loading coefficients, though RANS modeling has limitations. While results had some inaccuracies compared to experiments, CFD may still be useful early in heliostat design process. Future work includes simulating a heliostat using data from particle image velocimetry and exploring large eddy simulation models.
Unmanned aerial systems (UASs) have unprecedented potential in various fields, from surveillance to packet delivery. The swarms formed by multiple UAS increase the number of potential UAS applications as they can be utilized for complicated tasks. Therefore, various swarming methodologies are proposed to coordinate the UAS positions in swarms. Virtual forces and molecular geometry based approaches have been instrumental in UAS swarming applications. These approaches apply forces between UAS nodes similar to electron pairs for near-ideal volume coverage. However, the ratio of these forces and the stability of the node positions in the network have been vexing challenges. In this paper, we propose an approach to optimize the virtual forces for a stable 3D swarming behavior in a realistic communications environment. The results of extensive simulations show that the approach can identify the relationship among the attractive and repulsive virtual forces for given positional properties of a UAS swarm.
The document discusses David Vernier and his company's datalogging systems for science education, including their LabQuest and LoggerPro products. It describes how the systems make data collection and analysis easy and affordable for students and teachers. A variety of experiments are highlighted that use the datalogging systems to explore physics, chemistry, and biology concepts through direct measurement and analysis of real-time data.
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3. Motivations
• True Water based Video Games still Missing!
• Big difference between Visual vs Physical
Simulations!
• Dawn of Parallelizing API + Multicore HW
• Challenging! Conventional
RigidBody/Articulation/Collision based physics
not suitable here!
5. Fluid Properties/Formula
• Pressure : p
• Viscosity : v
• Density : q
• Temperature : affects the above properties
• Navier-Stokes equation is governing formula
for fluid dynamics
8. DVM
• use vortex particles called vortons to
represent tiny vortex elements:
Biot-Savart Law (used for advection):
9. Vorton Dynamics
• With N Vortons, advection computation is
O(N^2)
• Too slow, use Vorton Clusters (influence tree)
10. Hybrid Scheme
• Use grid cell representation to aggregate
effect of all vortons in each cell as one
• Fluid is represented by two kind of particles:
vortons and tracers. Tracers are passive and
only carry momentum, but do not contribute
to fluid dynamic.
• Use interpolation to distribute updated grid
attributes to all actors (vortons & tracers)
11. Boundary Conditions / Rigid body
interaction
• Various boundary conditions:
• (a) No-through, (b) no-slip, (c) free-slip, and
(d) periodic
12. Ways to satisfy boundary conditions
• Assigning a vorton to satisfy no-through and
no-slip boundary conditions:
13. Implementation
• Use influence tree to compute velocity based
on vorticity at each grid point, using Biot-
Savart law on the gird:
• Use velocity on the grid to compute its
Jacobian used in
14. Implementation (Cont’d)
• Diffuse term represents dissipation
of vorticity cross grid boundaries between
neigboring vortons. So we can use this
instead:
• Advection in is automatically
taken care of by allowing vortons to move in
the fluid.
15. Implementation(Cont’d)
• Final resulting vorticity equation is
embarrassingly parallel and could easily be
parallelized using say Intel’s TBB.
• Here’s link to sample implementation by Dr.
Gourlay:
• http://www.youtube.com/watch?v=MlFAzXeC
B80
Editor's Notes
DVM advantages:
Since it is by theory divergence free, so solutions are stable, can be applied to low viscosity better...
Can concentrate computational resources on more interesting part of fluid: i.e. vortices