Stochastic screening or FM screening is a halftone process based on pseudo-random distribution of halftone dots, using frequency modulation (FM) to change the density of dots according to the gray level desired. Traditional amplitude modulation halftone screening is based on a geometric and fixed spacing of dots, which vary in size depending on the tone color represented (for example, from 10 to 200 micrometres). The stochastic screening or FM screening instead uses a fixed size of dots (for example, about 25 micrometres) and a distribution density that varies depending on the color’s tone. The strategy of stochastic screening, which has existed since the seventies, has had a revival in recent times thanks to increased use of computer-to-plate (CTP) techniques. In previous techniques, computer to film, during the exposure there could be a drastic variation in the quality of the plate. It was a very delicate and difficult procedure that was not much used. Today, with CTP during the creation of the plate you just need to check a few parameters on the density and tonal correction curve. When you make a plate with stochastic screening you must use a tone correction curve, this curve allows one to align the tone reproduction of an FM screen to that of an industry standard.Given the same final presswork tone value, an FM screen utilizes more halftone dots than an AM/XM screen. The result is that more light is filtered by the ink and less light simply reflects off the surface of the substrate. The result is that FM screens exhibit a greater color gamut than conventional AM/XM halftone screen frequencies.The creation of a plate with stochastic screening is done the same way as is done with an AM/XM screen. A tone reproduction compensation curve is typically applied to align the stochastic screening to conventional AM/FM tone reproductions targets (e.g. ISO 12647-2). (Wikipedia).
Enjoy a small collection of explosions from our preliminary tests of the prototype of what is to become Project Stomper.
From playlist Project Stomper Videos
In this video I show you how to conduct a t-test, analysis of variance, and linear regression in SPSS.
From playlist Healthcare statistics with SPSS
Solar panel performance shoot-out - Part 3
This is a performance test between two 55 watt solar panels, one is a monocrystalline and the other is an Amorphous / thin film panel.
From playlist Solar Panel Reviews, Testing and Experiments
Research Methods 1: Sampling Techniques
In this video, I discuss several types of sampling: random sampling, stratified random sampling, cluster sampling, systematic sampling, and convenience sampling. The figures presented are adopted/adapted from: https://www.pngkey.com/detail/u2y3q8q8e6o0u2t4_population-and-sample-graphic-de
From playlist Research Methods
Samsung Galaxy S5 - How to take a screenshot of your phone and text it to a friend
In this video I'll show you guys an easy way of taking a screenshot of your galaxy s5 and sending it to a friend via SMS.
From playlist Technology
Parametric and nonparametric tests
Parametric tests are most commonly used in healthcare research. They include tests such as Student's t-test and ANOVA. There is, however a rich set of non-parametric tests that are much more appropriate to use in certain circumstances.
From playlist Learning medical statistics with python and Jupyter notebooks
AMAZING physics experiment Standing wave and stroboscope!!!
Physics (la physique) demonstrations
From playlist physics
Samsung Galaxy S5 customization - set up lock screen
In this video we teach you how to set up the Samsung Galaxy S5 lock screen to provide some security for your phone.
From playlist Technology
Data that are collected for statistical analysis can be classified according to their type. It is important to know what data type we are dealing with as this determines the type of statistical test to use.
From playlist Learning medical statistics with python and Jupyter notebooks
Roi Baer - Stochastic Vector Methods for extended systems - IPAM at UCLA
Recorded 11 April 2022. Roi Baer of Hebrew University, Chemistry, presents "Stochastic Vector Methods for extended systems" at IPAM's Model Reduction in Quantum Mechanics Workshop. Abstract: Stochastic vector computational approaches for the electronic structure of extended condensed matte
From playlist 2022 Model Reduction in Quantum Mechanics Workshop
MFEM Workshop 2022 | Stochastic Fractional PDEs: Random Field Generation & Topology Optimization
The LLNL-led MFEM (Modular Finite Element Methods) project provides high-order mathematical calculations for large-scale scientific simulations. The project’s second community workshop was held on October 25, 2022, with participants around the world. Learn more about MFEM at https://mfem.o
From playlist MFEM Community Workshop 2022
Fin Math L11: Numeraire, T-forward measure and interest rates
Welcome to Financial Mathematics. In this lesson we finally enter into the modeling of interest rates, which we will no longer consider constant. This implies that many things we have said until now need to be updated and generalised in order to still hold. The new chapter is available he
From playlist Financial Mathematics
Maxime Laborde: "A Lyapunov analysis for accelerated gradient methods: From deterministic to sto..."
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From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Fin Math L5-2: A simple exchange rate model
In this second part of Lesson 5, we consider a simple exchange rate model, which allows us to see the Cameron-Martin theorem in action. The model also introduces a particular version of the exponential martingale that will be essential for us later. I ask you to spend some time reasoning a
From playlist Financial Mathematics
Yier Lin (Columbia) -- Short time large deviations of the KPZ equation
We establish the Freidlin--Wentzell Large Deviation Principle (LDP) for the Stochastic Heat Equation with multiplicative noise in one spatial dimension. That is, we introduce a small parameter $\sqrt{\epsilon}$ to the noise, and establish an LDP for the trajectory of the solution. Such a F
From playlist Northeastern Probability Seminar 2020
A unified stochastic modelling framework for the spread of... by Martín López García
DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore
From playlist Mathematical and statistical explorations in disease modelling and public health
Guilherme Ost & et Claudia Vargas - Retrieving the structure of probabilistic sequences...
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From playlist Workshop "Workshop on Mathematical Modeling and Statistical Analysis in Neuroscience" - January 31st - February 4th, 2022
Mutation, Selection and Evolutionary Rescue in Simple Phenotype....(Lecture 1) by Guillaume Martin
PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn
From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022
Solar panel performance shoot-out - Part 1
This is a performance test between two 55 watt solar panels, one is a monocrystalline (correction from what I said in the video) and the other is an Amorphous / thin film panel.
From playlist Solar Panel Reviews, Testing and Experiments
Markov processes and applications-4 by Hugo Touchette
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021