Perl Monks, Granular Computing, and World Forum on Free Knowledge

Some days ago, I attained level 3 (Acolyte) in the Perl Monks. It is nice to see how my opinions are getting good reviews πŸ™‚ . These days, I am working on a Granular Computing tutorial for the Perl Monks community. I plan to divide it into two posts:

  1. General Introduction: from information granules to granular computing; applications: image processing, data mining, signals processing, etc.; common frameworks for Granular Computing: Interval Analysis, Fuzzy Sets, Rough Sets; and finding information granules in a Fuzzy Sets framework.

  2. Plan for a Granular Computing Module: here I present what modules are needed in Perl to write a Granular Computing Module. My idea is that we should create several (small?) modules and combine them to create the Granular Computing module. For instance, we could have a Fuzzy Sets Module (there are already some modules in CPAN related to Fuzzy Sets, so our task would be to chose one and improve it), a Rough Sets Module, an Interval Analysis Module, and a Clustering Module (I already wrote a Fuzzy C-Means script, I certainly would be happy writing all the scripts needed in this area). Our Granular Computing Module would call on these modules and add some additional functionalities. The advantage of doing it this way is that if someone is interested only on an individual module (Fuzzy Sets, Interval Analysis, etc.) that person would not need to use the whole Granular Computing Module. Moreover, I expect it to be easier to maintain smaller modules. The only problem I see with this idea is related to dependences. In any case, I guess that I will be writing a lot of Perl code this coming year πŸ˜‰

The last point on this post is related to the 4th World Forum on Free Knowledge. This Forum will take place in Maturin, Venezuela from October 17 to October 21, 2006. In the Forum, I will be giving a talk titled: Open Science: Utopia or Reality? In this talk, I describes what is needed to have a truly open science, muse on whether Open Science is attainable, and present some guidelines to help us make it a reality. In the Forum, I will also give a tutorial on Image Analysis using Free and Open Source Software. The tutorial focus on my research in using Granular Computing for image analysis. I will describe my experience with the ITK and the Perl’s AI::FuzzyInference module in my quest for finding a way to help content experts in analyzing images. I will post more on that later.



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