Carlos José M. Olguín

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We propose a new design of complex self-evolving structures that vary over time due to environmental interaction. In conventional 3D printing systems, materials are meant to be stable rather than active and fabricated models are designed and printed as static objects. Here, we introduce a novel approach for simulating and fabricating self-evolving(More)
Collaborative learning supported through computers seems to be very promising, since advances in computational technology enable the widespread use of tools such as bulletin boards, chats, whiteboards and even video-conference. However, it is not clear which approach for on-line learning – individual or collaborative – is more effective for the students.(More)
Learning Vector Quantization is a kind of artificial neural network with a competitive and supervised learning. This technique is commonly used to patterns recognition tasks. This artificial neural network was applied to the LIBRAS signals recognition problem, where the images representation was done with bits signatures. This is an unusual combination form(More)
This paper presents a practical case of use of the Catalysis Approach in the Construction of a Framework in an Ntier Architecture. This framework was used to develop the Values Quotation component of PLATIN – Londrina Platform of Information Technology. The development of the component was made by the Software Factory team with the support of the Software(More)
Simulating phenomena at micro scale is challenging due to the immaturity in theory and the complexities in existing high-order physics equations. This paper presents a plausible physics model to simulate a microscopic phenomenon, i.e. The coffee-ring effect and its suppression. In order to reproduce micro-fluidics behaviors inside the droplet, four forces(More)
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