Data Analysis & Simulation

EasyFit Used by NASA to Improve Monte Carlo Risk Simulation Models

Tuesday, February 10th, 2009

On April 17 2005, the Millstone nuclear generating plant in Connecticut shut down when a circuit board monitoring a steam pressure line short-circuited. “Tin whiskers” – microscopic growths of the metal from soldering points on a circuit board – were blamed for causing the problem. These whiskers are comprised of nearly pure tin, and are therefore electrically conductive.

Field failures attributable to tin whiskers have cost individual programs many millions of dollars each. As a result, manufacturers of high-reliability systems are forced to use Monte Carlo simulation models to decide whether the use of tin poses an acceptable risk in a given application.

Recently a group of NASA scientists lead by Karim J. Courey, a Principal Engineer with the Orbiter Sustaining Engineering Office, Lyndon B. Johnson Space Center, used our distribution fitting software EasyFit to better understand the underlying process and develop a probability model that can be used to improve existing Monte Carlo risk simulation models… read the full case study

Need To Deal With Risk and Uncertainty in Your Software Applications?

Tuesday, December 23rd, 2008

Lately we have received a couple messages from customers asking if it’s possible to use the Monte Carlo simulation and distribution fitting features of EasyFit in their own software applications. The short answer is yes, but these features are limited to calculating some distribution functions in Excel VBA. There’s currently no way to run simulations, fit distributions to data, perform goodness of fit tests, or use distribution functions from C#, C++, VB.NET, and other programming languages.

To fill the gap, we are considering to create a Simulation & Probabilistic Analysis Software Development Kit (SPA SDK) for software developers who need to deal with risk & uncertainty in their applications, but don’t have time or expertise to design and implement the required features on their own. We already have in place the tried and true technology that’s a basis for our distribution fitting products EasyFit and EasyFitXL, so creating an SDK would be possible in a short period of time.

Since we have had only a few requests for an SDK, we would like to know whether you would be interested in such kind of product. Below is our vision for the SDK – you are welcome to express any thoughts or specific requirements you might have. Please feel free to contact us and we will take your input seriously.

Update: The free beta version of the SDK is now available for download – please click here for details.

What is a Simulation & Probabilistic Analysis Software Development Kit (SPA SDK) ? (more…)

EasyFit Used for Environmental Fate and Risk Assessment

Tuesday, November 4th, 2008

Since 1991, the European Union has been promoting the use of numerical models to assess the environmental fate and risk of pesticides. Recently a group of scientists from the Catholic University and the Marche Polytechnic University (Italy) in association with Informatica Ambientale, the Milan-based research and computer science company, developed a tool that integrates one of the pesticide fate models with GIS software. Several distribution fitting software products were tested to introduce distribution functions in the risk assessment study, and EasyFit was selected as the most appropriate tool for analyzing annual mean pesticide concentration and determining the most suitable distribution… read the full case study

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