Erick Ratamero

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Résumé—MOPED (an acronym for Model of Peloton Dynamics) is a proposed model for peloton dynamics in competitive cycling. Using an agent-based approach, it aims to generate the very complex behaviour observed in real-life competitive cycling from a collective of agents with very simple rules themselves. Cyclists try to minimize the average energy expenditure(More)
As an aggregate of cyclists, a peloton exhibits collective behavior similar to flocking birds or schooling fish. Positional analysis of cyclists in mass-start velodrome (track) races allows quantitative descriptions of peloton phases based on observational data. Data from two track races are analyzed. Peloton density correlates well with cyclists’(More)
Extending earlier computer models of bicycle peloton dynamics, we add a deceleration parameter by which deceleration magnitude varies as a function of cyclist strength. This model is validated by applying speed data from a mass-start race composed of 14 cyclists, and running simulation trials using 14 simulated cyclists that generated positional profiles(More)
Extending earlier computer models of bicycle peloton dynamics, we add a deceleration parameter by which deceleration magnitude varies as a function of cyclist strength. This model is validated by applying speed data from a mass-start race composed of 14 cyclists, and running simulation trials using 14 simulated cyclists that generated positional profiles(More)
This work discusses the modeling of clinical data using openEHR archetypes. The openEHR project aims at developing an open and interoperable health computational platform, and an important component in this effort is the development of electronic health records (EHRs) that are clinically effective and interoperable. The project publishes specifications,(More)
In this work, we present a new framework for innovation modelling. Deriving from models using fitness landscapes for that task, we extend this idea to using multiple landscapes to represent different facets and stylized facts about artifacts. By using different landscapes, we are able to keep modularity and ease of modelling, by representing different(More)
In this work, we aim to investigate the endogenization of topology parameters in metamimetic games and construct a framework that can be easily adapted for the simulation of this kind of games following any kind of topology. Metamimetic games are games where the agents follow dynamics of mimesis or imitation for their behaviour and rules. Moreover, their(More)
The ability to precisely visualize the atomic geometry of the interactions between a drug and its protein target in structural models is critical in predicting the correct modifications in previously identified inhibitors to create more effective next generation drugs. It is currently common practice among medicinal chemists while attempting the above to(More)
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