23 skills found
NewProggie / Particle FilterA particle filter for tracking multiple humans in high-density crowds
penn-graphics-research / LETOLETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carriers to a fixed set of Eulerian quadratures and solves force equilibrium with MPM. With carrier particles as design variables, LETO reparameterizes the Eulerian solution space in a Lagrangian view.
hongru / FluidParticles Fluid Simulation based on Double Density Relaxation Algorithm
aramcharan / US SoilGrids100mComplete-coverage gridded predictions of soil properties (percent organic carbon, total nitrogen, bulk density, pH, and percent sand and clay) and classes (taxonomic great group and particle size in the control section) for the Conterminous U.S.
KDSource / KDSourceTool for modeling distributional particle sources for Monte Carlo simulations, with Kernel Density Estimation.
SeBassTian23 / ESP32 WeatherStationESP32 driven small weather station with focus on parameters usually not captured, including particle density for Air Quality and UV-Index
nbwilding / DFTA classical Density Functional Theory code to calculate the properties of hard spheres or Lennard-Jones particles in planar geometry i.e. near an infinite hard or soft wall.
yousefhosny1 / FYP PFHE OptimizationEnergy demand has increased substantially recently, the need of energy efficient equipment in process plants and industries has become a must to stay withing the emission boundaries set by the government. Plate Fin Heat Exchangers (PFHE) are one of the most energy efficient and thermally effective heat exchangers that’s due to their high compactness which makes their surface area density higher than traditional heat exchangers. However, a big issue associated with them is their high cost due to the complexity involved in the manufacturing process. In this project optimization has been conducted to the design of the Plate Fin Heat Exchanger with the objective of minimizing its total annual cost (TAC). However, to ensure that the optimization of the TAC does not come with the cost of lower performance, constraints are added in the objective function to ensure that the pressure drop, flow characteristics of the working fluids and the heat duty of the PFHE are within acceptable boundaries, Optimization of the PFHE will be done using Grey Wolf Optimization Algorithm (GWO), Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSO) , The results obtained from these algorithms will be compared with each other and compared with results obtained by other researches who used different optimization Algorithms with the aim of evaluating the best preforming algorithm in optimizing thermal systems generally and PFHE’s specifically.
jkeger / SeagenStretched Equal Area (SEA) Generator - Make spherically symmetric arrangements of particles with accurate particle densities, e.g. for SPH initial conditions that precisely match an arbitrary density profile (Kegerreis et al. 2019, MNRAS 487:4, https://doi.org/10.1093/mnras/stz1606). See also https://github.com/srbonilla/WoMa for making the initial profiles, placing particles with SEAGen, and modifications for spinning planets!
demichie / IMEX SfloW2D V2Shallow water variable density gas-particle flow
ColorsWind / PSO ALSReproduction of the paper Particle swarm optimization with adaptive learning strategy (and Clustering by fast search and find of density peaks).
azamatsalamat / Liggghts Packing PropertiesScript that calculates packing density, particle mean and RMS diameters for the packings generated by the LIGGGHTS DEM software package
malikfahad / Particle FilterParticle filters or Sequential Monte Carlo (SMC) methods are a set of genetic, Monte Carlo algorithms used to solve filtering problems arising in signal processing and Bayesian statistical inference. The filtering problem consists of estimating the internal states in dynamical systems when partial observations are made, and random perturbations are present in the sensors as well as in the dynamical system. The objective is to compute the posterior distributions of the states of some Markov process, given some noisy and partial observations. Particle filters implement the prediction-updating transitions of the filtering equation directly by using a genetic type mutation-selection particle algorithm. The samples from the distribution are represented by a set of particles; each particle has a likelihood weight assigned to it that represents the probability of that particle being sampled from the probability density function.
Kojey / MSc Whistler Waves DetectorLightning strokes create powerful electromagnetic pulses that result in Very Low Frequency (VLF) waves propagating along the magnetic field lines of the earth. Due to the dipole shape of the geomagnetic field, these waves travel upward from the stroke location out through portions of the plasmasphere and back to the Earth’s surface at the field line foot point in the opposite hemisphere. VLF antenna receivers set up at various high and middle latitude locations can detect whistler waves generated by these lightning strokes. The propagation time delay of these waves is dependent on the plasma density along the propagation path. This enables the use of whistler wave observations for characterising the plasmasphere in terms of particle number and energy density. The dynamics of energetic particle populations in the plasmasphere are an important factor in characterising the risk to spacecraft in orbit around Earth. Annual global lightning flash rates are on the order of 45 flash/s [5]. The resulting high occurrence rate of whistler events makes it impossible to identify and characterise them in a reasonable time. Therefore the automatic detection and characterisation of whistlers are valuable to the study of energetic particle dynamics in the plasmasphere and to develop models for operational use. Lichtenberger [1] developed an automatic detector and analyser based on the Appleton-Hartree dispersion relation and experimental models of particle density distribution. Recent advances in artificial neural network-based image processing methods for example, convolutional networks [6] may be able to provide an alternative method for the automatic identification and characterisation of whistler events in broadband VLF spectra. Model development is based on training a neural-network-based model on a large set of spectrograms with whistler events identified by the nodes of the Automatic Whistler Detection and Analysis Network (AWDAnet [7]). Spectrograms will be presented in the form of images (Figure 1.1) to take advantage of the wide range of image-processing techniques available for this type of object identification.
williamgilpin / HspmcMonte Carlo simulation of hard sphere packing using MATLAB
ChristineZheng / Fluid SimulationWe first develop a simple particle renderer with controls. We then attempt to use a particle-based approach to simulate water. The key to simulating any fluid is enforcing incompressibility. Unfortunately, this is computationally expensive. In the paper Position Based Fluids, Muller and Macklin describe a method for simulating fluids in a relatively efficient manner while not requiring impractical timesteps. We attempt to implement the various ideas in this paper such as enforcing incompressibility by incorporating density constraints into Position Based Dynamics, simulating surface tension by adding artificial pressure, and reducing damping by adding vorticity confinement and viscosity.
sparkfun / SparkFun Particle Sensor SN GCJA5 Arduino LibraryAn Arduino library to read particle density and count for the Panasonic SN-GCJA5.
zelenkastiot / BrownianProject funded by DFG. A jupyter-book that explores mearly a chunk of the field of nonlinear dynamics, specifically diffusion and random search in heterogeneous media. The book has various simulations for the stochastic process known as Brownian motion. The motion dynamics are simulated by solving the Langevin equation numerically for the different initial parameters. After an ensemble finishes, the trajectories of Brownian particles together with the probability density function and the mean square displacement are plotted. The book has chapters on Brownian search, Backbone problems, and Stochastic resetting.
ZmengXu / TransportPDFFoamLagrangian particle based Transported Probability Density Function (TPDF) solver and libraries in OpenFOAM.
jaredstarbell / BuddhabrotInteractive density plotting of particles in the Mandelbrot set on their way to infinity.
