René Arnulfo García Hernández
Universidad Autónoma del Estado de México
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Featured researches published by René Arnulfo García Hernández.
mexican international conference on artificial intelligence | 2011
Yulia Ledeneva; René Arnulfo García Hernández; Romyna Montiel Soto; Rafael Cruz Reyes; Alexander F. Gelbukh
Automatic text summarization has emerged as a technique for accessing only to useful information. In order to known the quality of the automatic summaries produced by a system, in DUC 2002 (Document Understanding Conference) has developed a standard human summaries called gold collection of 567 documents of single news. In this conference only five systems could outperforms the baseline heuristic in single extractive summarization task. So far, some approaches have got good results combining different strategies with language-dependent knowledge. In this paper, we present a competitive method based on an EM clustering algorithm for improving the quality of the automatic summaries using practically non language-dependent knowledge. Also, a comparison of this method with three text models is presented.
Archive | 2008
Yulia Ledeneva; René Arnulfo García Hernández; Alexander F. Gelbukh
Since the first fuzzy controller was presented by Mamdani in 1974, different studies devoted to the theory of fuzzy control have shown that the area of development of fuzzy control algorithms has been the most active area of research in the field of fuzzy logic in the last years. From 80 s, fuzzy logic has performed a vital function in the advance of practical and simple solutions for a great diversity of applications in engineering and science. Due to its great importance in navigation systems, flight control, satellite control, speed control of missiles and so on, the area of fuzzy logic has become an important integral part of industrial and manufacturing processes. Some fuzzy control applications to industrial processes have produced results superior to its equivalent obtained by classical control systems. The domain of these applications has experienced serious limitations when expanding it to more complex systems, because a complete theory does not yet exist for determining the performance of the systems when there is a change in its parameters or variables. When some of these applications are designed for more complex systems, the number of fuzzy rules controlling the process is exponentially increased with the number of variables related to the system. For example, if there are n variables and m possible linguistic labels for each variable, mn fuzzy rules would be needed to construct a complete fuzzy controller. As the number of variables n increases, the rule base quickly overloads the memory of any computing device, causing difficulties in the implementation and application of the fuzzy controller. Sensory fusion and hierarchical methods are studied in an attempt to reduce the size of the inference engine for large-scale systems. The combination of these methods reduces more considerably the number of rules than these methods separately. However, the adequate fusion-hierarchical parameters should be estimated. In traditional techniques much reliance has to be put on the experience of the system designer in order to find a good set of parameters (Jamshidi, 1997). Genetic algorithms (GA) are an appropriate technique to find parameters in a large search space. They have shown efficient and reliable results in solving optimization problems. For
ieee electronics, robotics and automotive mechanics conference | 2010
Jose Luis Tapia; Joel O. Pacheco Sotelo; Eduardo Diaz Rodriguez; Yulia Ledeneva; René Arnulfo García Hernández
An electrical cathode model (ECM) of a high pressure sodium lamp (HPS) based on physical laws has been developed. The proposed ECM calculates the instantaneous voltage drop in a cathode sheath and the temperature distribution inside the cathode using as input parameter the cathode geometry and the positive column current. The model is based on the electrode heat transport equation, solved using the finite elements method. It is found that the ECM predicts in a satisfactory way the cathode voltage drop over a wide range of work conditions. The obtained results were compared with those reported in the current literature. It can be concluded that the ECM is a useful tool in understanding the interaction between the positive column and the cathode in order to improve, for instance, HPS lamp ballast designs.
Research on computing science | 2010
Yulia Ledeneva; René Arnulfo García Hernández; Anabel Vazquez Ferreyra; Nayeli Osorio de Jesús
Computación Y Sistemas | 2018
Jonathan Rojas Simón; Yulia Ledeneva; René Arnulfo García Hernández
Archive | 2017
Yulia Ledeneva; René Arnulfo García Hernández
Archive | 2016
Selene Vargas Flores; Yulia Ledeneva; René Arnulfo García Hernández; Grigori Sidorov
Archive | 2016
Esther Maritza Gallegos Camacho; Yulia Ledeneva; René Arnulfo García Hernández; José Luis Tapia Fabela
Archive | 2015
Marcela Camacho Avila; René Arnulfo García Hernández; Yulia Ledeneva; José Luis Tapia Fabela
Ciencia Ergo Sum | 2014
Guillermo García Lambert; René Arnulfo García Hernández; Yulia Ledeneva