Turbulence | Universal mechanical linkage | Computer Vision library

I am trying to achieve a paint-on-paper effect on shapes in SVG by applying:

• a displacement filter and
• a blur

Everything works ok on the background, but if I try to apply the same filter to shapes in the foreground, it results in a weird border around the shape itself, that gets even worse if the shape is a path.

This is the version without filter on the shape, this is the one with the filter applied to a rotated rect and this is the version where the filter is applied to a path. BTW, the displacement and blur filters seem to work ok only in Firefox.

The code for the rect version is below.

Can I apply the diffuse lighting filter to the shape without the weird border?

I have a JSON file that is structured like this:

I'm trying to model the flow and suspension of microcarriers (particles that are used as surfaces for cells to attach to and grow on) in a CFD application. I know some basic characteristics of the particles (they're called "Cytodex", about 180 µm big, density is 1.03g/cm^2) but I'd like to find the Stokes number to determine how strongly they are affected by turbulence and movement of the fluid. Can somebody point me to how to approach this (or at least approximate?). It's surprisingly hard to find any information for somebody like me who hasn't got a very strong background in fluid mechanics.

This SVG filter:

I have small problem with styling SVG and image inside. In SVG I have two filters. First effect (#innershadow) is to whole SVG object, second I want to apply only to image inside, because wave (#turbulance) effect spoils the whole svg object. The effect I want to achieve is sharp edges with shadows inside SVG and a blurred image inside. (SVG and #turbulance effect is animated) Is it possible?

I'm trying to follow this OpenFOAM tutorial for using Gmsh to generate Axisymmetric mesh. The files are provided here. However when I try to solve the problem using the pimpleFoam solver I get the error:

--> FOAM FATAL ERROR: Unknown TurbulenceModel type RASModel

Valid TurbulenceModel types:

3 ( LES RAS laminar )

From function static Foam::autoPtr > Foam::TurbulenceModel::New(const alphaField&, const rhoField&, const volVecto rField&, const surfaceScalarField&, const surfaceScalarField&, const transportMo del&, const Foam::word&) [with Alpha = Foam::geometricOneField; Rho = Foam::geom etricOneField; BasicTurbulenceModel = Foam::incompressibleTurbulenceModel; Trans portModel = Foam::transportModel; Foam::TurbulenceModel::alphaField = Foam::geometricOneField; Foam::Turbulenc eModel::rhoField = Foam::geome tricOneField; Foam::volVectorField = Foam::GeometricField; Foam::surfaceScalarField = Foam::GeometricFi eld; Foam::TurbulenceModel::transportModel = Foam::transportMo del] in file /opt/CFDSupportFOAM4.0/beta/OpenFOAM-dev/src/TurbulenceModels/turbul enceModels/lnInclude/TurbulenceModel.C at line 113.

As explained in this page apparently the syntax of turbulenceProperties in case/constant has changed. So I edited the turbulenceProperties file from:

simulationType RASModel;

to

I'm learning currently a python language. Here is my question i converted .txt file to .csv then want to insert to table to database file. I have a problem with iteriation on the bottom im pasting results. How can i iterate with it? Im struggle with that few days so don't really know how to solve the problem.

txt file(few rows):

I'm here again.

I have 3 months long dataset with hourly data. I need a weekly average for each hour of the day. So, not a single average value for the entire week, but a value for each hour of the day for a week.

I haven't tried anything, because I don't how I can start. What I can do, it's share a subset of my dataset with you.

I'm plotting a dataset a little over three months long with a data each half hour. So in my dataframe I have a datetime vector with the format %Y-%m-%d %H:%M:%OS - year, month, day, hour, minute, second. I want just to set the ticks on the x-axis each fiveteen days. I tried with scale_x_date and scale_x_datetime setting the breaks, but without result and an error message. I didn't understand well the difference between scale_x_date, scale_x_datetime, but I think that in my case, with a datetime vector I should use scale_x_datetime.

It's very diffcult share my dataset, because is very large and using a smaller portion I thing wouldn't give enough material to figure out my problem.

So I share the code that I used and the graphical output that I have.