Gallery — Two-column

My two column CV

Las observaciones han mostrado que el numero de neutrinos electrónicos νe que llegan a la tierra desde el sol es aproximadamente la mitad del número esperado de nuestro conocimiento de las reacciones nucleares que ocurren al interior del sol. Estas observaciones se explican como el resultado de que algunos neutrinos electrónicos νe se convierten en neutrinos muónicos νμ y neutrinos tauónicos ντ durante su recorrido entre su creación al interior del sol y su observación en la tierra. Este cambio de un sabor a otro se conoce como oscilaciónes del neutrino. Se introduce un término de masa para el neutrino que es invariante de Lorentz en la densidad lagrangiana del modelo estándar (SM), y se describe el estado del neutrino |να⟩(α = e, μ, τ) como una combinación lineal de autoestados de masa |νi⟩ (i=1,2,3), lo cual conduce a las oscilaciones del neutrino.

Collection of statistics formulae taken from the perennial text book Lind, Douglas A. et. al. (2015): Statistical Techniques in Business and Economics, 16 ed. (2015).

LaTeX template for the International Journal on Magnetic Particle Imaging (IJMPI). Articles can be submitted at the journal homepage.

En este documento se muestra un acercamiento identificación de especies arbóreas mediante Histogramas De Gradientes Orientados y maquinas de soporte Vectorial.

Laboratorio correspondiente a hidraulica a presion, perdida por Accesorios HL

The Observatory of Public Spending (or ODP, in Portuguese) is a special unit of Brazil's Ministry of Transparency, Monitoring and Office of the Comptroller-General (or CGU, in Portuguese) responsible for monitoring public spending and gathering managerial and audit information to support the work of CGU internal auditors. One of the most important themes monitored by this unit is Public Procurements and Government Suppliers which have won these procurement processes. Image analysis of many of these suppliers headquarters revealed suspicious landscapes, such as rural areas, isolated places or slums. These landscapes could be an indication of fake suppliers with poor capacity of delivering public goods and services. However, checking thousands of landscapes in order to find these fake suppliers would be a very expensive task. Our objective then is to discover what are the possible groups of scenes involving government suppliers, given that these images were not previously labeled, as automatically as possible. For that reason, we used Places CNN, a pretrained convolutional neural network for scene recognition presented by Zhou et al., which was trained on 205 scene categories with 2.5 million images, for scene recognition on Brazilian Government Suppliers.

Template for final project reports for EEC 136AB Electronics Design Project, a senior capstone team-based design course at UC Davis.

Manufacturing industries are changing rapidly towards more flexibility and autonomy. The RoboCup Logistics League (RCLL) and RoboCup@Work tackle research questions in this domain focusing on automated reasoning and planning, and mobile manipulation respectively. However, future scenarios will require both aspects (and more) and will most likely operate with more heterogeneous systems. In this paper, we propose a cross-over challenge to foster closer cooperation among the two leagues to address these challenges. We outline four integration milestones and propose a specific scenario and task for the first milestone. The effort is driven by stakeholders of both leagues.