Abstract The technological world has grown by incorporating billions of small sensing devices, collecting and sharing large amounts diversified data over the new generation wireless mobile networks. We can use semantic similarity models to help organize optimize these devices. Even so, many proposed do not consider constrained dynamic environments where devices are present (IoT, edge computing,...

An industrial process includes many devices, variables, and sub-processes that are physically or electronically interconnected. These interconnections imply some level of correlation between different variables. Since most the alarms in a plant defined on also correlated. However, this can be nuisance to operators, for one fault might trigger a, sometimes large, number alarms. So, it is essenti...

We compared types of transfer facilitated by instructions to engage in analogical comparison or self-explanation. Participants received learning materials and worked examples with prompts supporting analogical comparison, selfexplanation, or instructional explanation study. Learners also self-reported their use of analogical comparison and selfexplanation on a series of questionnaires. We evalu...

This work evaluates the genotype-to-phenotype mapping defined by one of the models of growth of foraminifera. Foraminifera are simple unicellular organisms with very diverse morphologies. To analyze the mapping, a morphological similarity measure is needed that compares 3D structures. One of the key components of the similarity estimation algorithm is Singular Value Decomposition (SVD). Since t...

We introduce a minimal Agent Based Model for financial markets to understand the nature and Self-Organization of the Stylized Facts. The model is minimal in the sense that we try to identify the essential ingredients to reproduce the main most important deviations of price time series from a Random Walk behavior. We focus on four essential ingredients: fundamentalist agents which tend to stabil...

This paper describes a method to automatically build topological maps for robot navigation out of a sequence of visual observations taken from a camera mounted on the robot. This direct non-metrical approach relies completely on the detection of loop closings, i.e. repeated visitations of one particular place. In natural environments, visual loop closing can be very hard, for two reasons. First...

Rapid increase of scientific documents causes difficulty in acquiring up-to-date information even by experts. Through deepening the text and document analysis technologies and automatic construction of knowledge bases necessary for document understanding, this project aims to develop foundations of content understanding of large scale technical documents and structural similarity analysis at va...