Chaos-based cryptography: a new promise to online security

A team of researchers at IFSC at the University of S. Paulo is working on the development and improvement of a new encryption system based on chaos theory, more efficient than conventional methods which could offer better security for online financial transactions, for instances, with the advantage of operating at high speed even on devices with limited hardware and low processing capacity. (read more)

Biodiversity and Math

Computer Science, Physics, Mathematics and biodiversity, are there connections between these fields ? In this link you can find an article about how the SCG deals and connects these topics.

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Biodiversty and math on TV

TV news enterview shows SCG's research

knn / k-nearest neighbors

Knn stands for k-nearest neighbors, it's a pattern recognition algorithm that, as the name suggests, work with the k-nearest given samples to determine to which class an unowned sample belongs to (we call a set of predetermined samples a class and the goup of all classes a training set).

Here, we have an illustration of how a basic knn works.

This knn work's up to 6 classes and the number of samples to each class is left for the reader to decide (the standard is 15 samples per class) as is the number of neighbors (k) to be analyzed.

Now when the reader click's the mouse on the knn screen, lines will connect the k-nearest samples from the training set to where the click is made, now notice that there will be situations where the result, number of closest samples of the training set, will be a draw between 2 or more classes, in these cases the program automatically calculates the algorithm again but, with k-1 neighbors.

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

Number of Classes (1-6): . . . Number of Samples (1-90): K (1-10):

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