Person:
Santos Peñas, Matilde

First Name

Matilde

Last Name

Santos Peñas

Affiliation

Universidad Complutense de Madrid

Faculty / Institute

Informática

Department

Arquitectura de Computadores y Automática

Area

Ingeniería de Sistemas y Automática

Identifiers

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Now showing 1 - 10 of 18

Simulation of working procedures in a distribution centre
(IEEE, 2003) Santos Peñas, Matilde; Cruz García, Jesús Manuel de la
This simulation study has been developed to assess a set of realistic proposals of a new distribution centre to a pharmaceutical company, with a focus on the sorting operation. Different sorting strategies, establishing dynamic assignment of the lanes to destinations and lanes to operators are proposed. Also different packing procedures have been presented according to the operator way of working. New qualitative criterions have been defined to evaluate the strategies. The results show some interesting non-linear behaviour in the sorting operation, and give the number of required operators, length of the lanes, and working procedures to be used in this application. The simulation experiments show that the improvement in the overall productivity by choosing a specific sorting strategy can be significant. The study has helped the management of the involved company to make a decision about the supplier and actually, the suggested proposals are being implemented in practice.
Profundización en la sensibilización y formación en la accesibilidad e inclusión de las personas con discapacidad visual al proceso de enseñanza-aprendizaje dentro de la UCM
(2022-06-29) Recas Piorno, Joaquín; Arbues Bedia, Jose; Bermudez Cabra, Antonio; Carreño Gea, Pablo; Carrera García, Juan Manuel; González Montero, María Guadalupe; González Vides, Leonela; Guerra Gallegos, Michelle Benacir; Guijarro Mata-García, María; Gutiérrez Hernández, Ángel Luis; Maestro Mañanes, Enrique; Martín Pérez, Yolanda; Muñoz Carenas, Jaime; Peña Quineche, David; Rodríguez Montes, María; Santos Peñas, Matilde; Valor Yebenes, Juan Antonio; Zuloaga Uria, Luis
El presente proyecto, SENSIVISUAL-UCM-II, supone una continuidad en los procesos de formación y sensibili-zación de la comunidad universitaria en el uso de tecnologías de información y comuni-cación, TICs, accesibles para personas con discapacidad visual, donde debe prevalecer el derecho a la atención equitativa y de calidad, permitiendo su plena inclusión educativa y social, mediante el respeto a sus necesidades específicas. El presente proyecto conti-nua con el trabajo realizado y pretende ahondar en la adecuación de contenidos docen-tes mediante el uso de herramientas concretas que mejoren el proceso de enseñanza-aprendizaje para personas con déficit visual, siguiendo con el objetivo de la plena inclu-sión de estos alumnos en el aula. SENSIVISUAL-UCM-II persigue la mejora de la calidad docente y de los servicios vinculados a procesos de innovación en materia de inclusión y diversidad, centrándose en los alumnos con discapacidad visual, y bajo la referencia del Aprendizaje por Servicio. La propuesta educativa de este proyecto combina proce-sos de aprendizaje y de servicio a la comunidad en un mismo proyecto, en el que los compañeros de las personas con discapacidad visual aprenden, generando los materia-les didácticos y potenciando el trabajo colaborativo en los grupos de clase, a la vez que trabajan en necesidades reales de la comunidad con la finalidad de mejorarla. Bajo este objetivo, las acciones llevadas a cabo harán que la comunidad universitaria, tanto profe-sores, alumnos como personal de administración y servicios, se implique en la mejora de la institución en su conjunto y del servicio que ésta ha de dar a la sociedad, consiguiendo colocarnos como universidad de referencia en accesibilidad e inclusión.
Reaching a Consensus on Access Detection by a Decision System
(2014-12-02) Santos Peñas, Matilde; Guevara Maldonado, César Byron; López López, María Victoria; Martín, José Antonio
Classification techniques based on Artificial Intelligence are computational tools that have been applied to detection of intrusions (IDS) with encouraging results. They are able to solve problems related to information security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined to improve the performance of a classifier. In order to validate the system, a scenario based on real data of the NSL-KDD99 dataset is used.
A neuro-fuzzy approach to fast ferry vertical motion modelling
(Pergamon-Elsevier Science LTD, 2006-04) Santos Peñas, Matilde; López, R.; Cruz García, Jesús Manuel de la
In order to stabilise the motion of a high speed craft, and so to improve the comfort of the passengers and the crew while maintaining the speed, control-oriented model are needed. For this purpose, neuro-fuzzy systems have been used to obtain general models of the nonlinear behaviour of a fast ferry. The sources of the available knowledge are the physical laws of the vertical dynamics of the craft, and some experimental and simulated data of the ship performance. Two non-linear models focused on the vertical motion of the craft, both heave and pitch, are proposed: an academic one and a predictive one. The modelling task is complex and the results are original as the problem has not been previously solved in a general way neither by applying artificial intelligence techniques. The models have been proved satisfactory with regular and also irregular waves, and they have been used for ship control purposes. (C) 2005 Elsevier Ltd. All rights reserved.
New internal clustering validation measure for contiguous arbitrary‐shape clusters
(Wiley, 2021-06-26) Rojas Thomas, Juan Carlos; Santos Peñas, Matilde
In this study a new internal clustering validation index is proposed. It is based on a measure of the uniformity of the data in clusters. It uses the local density of each cluster, in particular, the normalized variability of the density within the clusters to find the ideal partition. The new validity measure allows it to capture the spatial pattern of the data and obtain the right number of clusters in an automatic way. This new approach, unlike the traditional one that usually identifies well-separated compact clouds, works with arbitrary-shape clusters that may be contiguous or even overlapped. The proposed clustering measure has been evaluated on nine artificial data sets, with different cluster distributions and an increasing number of classes, on three highly nonlinear data sets, and on 17 real data sets. It has been compared with nine well-known clustering validation indices with very satisfactory results. This proves that including density in the definition of clustering validation indices may be useful to identify the right partition of arbitrary-shape and different-size clusters.
An Intelligent Trading System with Fuzzy Rules and Fuzzy Capital Management
(Wiley, 2015-04-11) Naranjo, Rodrigo; Meco, Albert; Arroyo Gallardo, Javier; Santos Peñas, Matilde
In this work we are proposing a trading system where fuzzy logic is applied not only for defining the trading rules, but also for managing the capital to invest. In fact, two fuzzy decision support systems are developed. The first one uses fuzzy logic to design the trading rules and to apply the stock market technical indicators. The second one enhances this fuzzy trading system adding a fuzzy strategy to manage the capital to trade. Additionally, a new technical market indicator that produces short and long entry signals is introduced. It is based on the MACD (Moving Average Convergence Divergence) indicator. Its parameters have been optimized by genetic algorithms. The proposals are compared to a classical non-fuzzy version of the pro-posed trading systems and to the Buy-and-Hold strategy. Results favor our fuzzy trading system in the two markets considered, NASDAQ100 and EUROSTOXX. Conclusions suggest that the use of fuzzy logic for capital management is promising and deserves further exploration
Trajectory generation and decision making for UAVs
(Comite Espanol Automática CEA-IFAC, 2008-01) Pajares Martinsanz, Gonzalo; Ruz Ortíz, José Jaime; Lanillos Pradas, Pablo; Guijarro Mata-García, María; Cruz García, Jesús Manuel de la; Santos Peñas, Matilde
The trajectory generation and its replanning in hostile environments for UAVs (Unmanned Aerial Vehicles) is a discipline in expansion. The hostile environments contains threats, modelled here as radars. Initially a route is planned. Then, if during the fly arise pop-up threats, a replanning is carried out. In both cases the routes are obtained via the A* algorithm. When replanning, the UAV makes a decision about whether to continue the initial plan or to follow the replanned route. The multiattribute decision making theory is a suitable strategy.
A new wavelets image fusion strategy
(Springer-Verlag Berlin, 2003) Santos Peñas, Matilde; Pajares Martinsanz, Gonzalo; Portela, M.; Cruz García, Jesús Manuel de la
The aim of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image,,which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition. Different fusion methods have been proposed in the literature. This paper presents new methods based on the computation of local and global gradient. A comparative analysis is carried out against other existing strategies. The results are encouraging.
A helicopter control based on Eigenstructure assignment
(IEEE, 2006) Antequera, Nicolás; Santos Peñas, Matilde; Cruz García, Jesús Manuel de la
In this paper a controller based in the eigenvalues assignment technique is designed. Pie system to be stabilized is an unmanned helicopter. This eigenstructure based controller is designed considering all the measurable states. A LQ controller has also been applied to the same system in order to compare the responses regarding the robustness. The results are encouraging and prove that the eigenstructure assignment technique is useful for these nonlinear systems.
Contribución a los métodos de sintonía de los controladores basados en Lógica borrosa
(Universidad Complutense de Madrid, Servicio de Publicaciones, 2002) Santos Peñas, Matilde; Dormido Bencomo, Sebastián
En este proyecto de investigación se muestra la aplicación de la lógica borrosa al control de procesos y se aborda el problema de la sintonía de los controladores basados en este tipo de lógica. Tras exponer los fundamentos y conceptos básicos de este razonamiento aproximado se introducen los controladores borrosos, presentando sus elementos y estructurando su diseño. Se estudian las distintas especificaciones de sus elementos, viendo la influencia de cada uno de ellos sobre el control. Para mejorar este control sobre una configuración establecida, se plantea el problema del ajuste de los parámetros de estos reguladores, ya que no existen procedimientos sistemáticos para realizarlo. Se ha hecho una revisión exhaustiva de los metodos propuestos en la literatura analizando sus ventajas e inconvenientes. Se revisan también las principales técnicas clásicas de sintonía, ampliando la técnica del relé al caso asimétrico, con vistas a su aplicación al control borroso. Se estudian diversos tipos de controladores borrosos, en orden creciente de complejidad, desarrollándolos analíticamente; para los casos equiparables a los reguladores convencionales, se aplican las técnicas clásicas presentadas anteriormente. Para controladores borrosos mas generales, se muestra una aplicación de sintonía cualitativa, resaltando algunos de los resultados y sugiriendo una solución al problema de los parámetros iniciales.