scispace - formally typeset
Search or ask a question
Author

Miguel A. Vega-Rodríguez

Bio: Miguel A. Vega-Rodríguez is an academic researcher from University of Extremadura. The author has contributed to research in topics: Evolutionary algorithm & Optimization problem. The author has an hindex of 24, co-authored 364 publications receiving 2908 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: According to the obtained results, the most appropriate colour spaces for skin colour detection are HSV model (the winner in this study), and the models YCgCr and YDbDr.

185 citations

Journal ArticleDOI
TL;DR: This paper proposes its own methodology for doing an FPGA-based AES implementation, which combines the use of three hardware languages with partial and dynamic reconfiguration, and a pipelined and parallel implementation.

105 citations

Journal ArticleDOI
01 Feb 2017
TL;DR: The study shows that the proposed MO-FA is a good alternative to solve the PP problem, a new multi-objective approach based on the flashing behavior of fireflies in nature, which is a swarm intelligence algorithm.
Abstract: Currently, autonomous robotics is one of the most interesting and researched areas of technology. At the beginning, robots only worked in the industrial sector but, gradually, they started to be introduced into other sectors such as medicine or social environments becoming part of society. In mobile robots, the path planning (PP) problem is one of the most researched topics. Taking into account that the PP problem is an NP-hard problem, multi-objective evolutionary algorithms (MOEAs) are good candidates to solve this problem. In this work, a new multi-objective approach based on the flashing behavior of fireflies in nature, the multi-objective firefly algorithm (MO-FA), is proposed to solve the PP problem. This proposed algorithm is a swarm intelligence algorithm. The proposed MO-FA handles three different objectives to obtain accurate and efficient solutions. These objectives are the following: the path safety, the path length, and the path smoothness (related to the energy consumption). Furthermore, and to test the proposed MOEA, we have used eight realistic scenarios for the path's calculation. On the other hand, we also compare our proposal with other approaches of the state of the art, showing the advantages of MO-FA. In particular, to evaluate the obtained results we applied specific quality metrics. Moreover, to demonstrate the statistical evidence of the obtained results, we also performed a statistical analysis. Finally, the study shows that the proposed MO-FA is a good alternative to solve the PP problem.

103 citations

Journal ArticleDOI
TL;DR: A Multi-Objective Artificial Bee Colony (MOABC) algorithm has been designed and implemented for this task and it is proven to produce more concentrated ROUGE values when the algorithm execution is repeated, leading to more robust results.
Abstract: Automatic text summarization methods are increasingly needed nowadays. Extractive multi-document summarization approaches aim to obtain the main content of a document collection at the same time that the redundant information is reduced. This can be addressed from an optimization point of view. There is a lack of multi-objective approaches applied in this context. In this paper, a Multi-Objective Artificial Bee Colony (MOABC) algorithm has been designed and implemented for this task. Experiments have been performed based on datasets from Document Understanding Conference (DUC) and model performances have been evaluated with Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics, as is usual in this knowledge field. The results of the proposed approach show important improvements, i.e., in average, 31.09% (8.43%) and 18.63% (6.09%) of improvement in ROUGE-2 (ROUGE-L) have been obtained with respect to the best single-objective and multi-objective results in the scientific literature. Even more, the proposed approach has been proven to produce more concentrated ROUGE values when the algorithm execution is repeated (between 620.63% and 1333.95% of reduction in the relative dispersion, that is, between 6 and 13 times better), leading to more robust results.

71 citations

01 Aug 2007
TL;DR: A history of e-learning, an approach for modelling interactive and collaborative aspects in CSCL systems, and an interesting strategy to teach genetic algorithms to model educational content.
Abstract: A history of e-learning: Echoes of the pioneers LRN: E-Learning Inside and Outside the Classroom: Supporting Collaborative Learning Communities using a Web Application Toolkit study Educational modelling languages: A Conceptual Introduction and a High-Level Classification Representing adaptive and adaptable Units of Learning: How to model personalized e-Learning in IMS Learning Design Schoolsenses@internet children as multisensory geographic information creators Design and development of digital educational content: Institutional proposals and actions Applying semantic techniques to integrate electronic course catalogues Tele-education of the Instruction Dynamic Scheduling using a Web Simulator Universalizing Chasqui repositories with a flexible importation/exportation system An approach for modelling interactive and collaborative aspects in CSCL systems SKC: Measuring the Users Interaction Intensity SWAD: Web System for Education Support Towards the Everyday Computing in the Classroom Through RFID Using Java and C# for educational simulators: the case of Simple-2 Iterative design of Learning Processes Design by Contract -Based Selection and Composition of Learning Objects Online evaluation at higher and secondary education: A teaching and learning experience Game design: an interesting strategy to teach genetic algorithms Instructional theories to model educational content: a case study.

68 citations


Cited by
More filters
01 Jan 2004
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Abstract: From the Publisher: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

3,627 citations

01 Apr 1997
TL;DR: The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity.
Abstract: The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

2,188 citations

Journal ArticleDOI
TL;DR: This work presents a comprehensive survey of the advances with ABC and its applications and it is hoped that this survey would be very beneficial for the researchers studying on SI, particularly ABC algorithm.
Abstract: Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-organized swarms. The well known examples for these swarms are bird flocks, fish schools and the colony of social insects such as termites, ants and bees. In 1990s, especially two approaches based on ant colony and on fish schooling/bird flocking introduced have highly attracted the interest of researchers. Although the self-organization features are required by SI are strongly and clearly seen in honey bee colonies, unfortunately the researchers have recently started to be interested in the behaviour of these swarm systems to describe new intelligent approaches, especially from the beginning of 2000s. During a decade, several algorithms have been developed depending on different intelligent behaviours of honey bee swarms. Among those, artificial bee colony (ABC) is the one which has been most widely studied on and applied to solve the real world problems, so far. Day by day the number of researchers being interested in ABC algorithm increases rapidly. This work presents a comprehensive survey of the advances with ABC and its applications. It is hoped that this survey would be very beneficial for the researchers studying on SI, particularly ABC algorithm.

1,645 citations

Journal ArticleDOI
TL;DR: Computer and Robot Vision Vol.
Abstract: Computer and Robot Vision Vol. 1, by R.M. Haralick and Linda G. Shapiro, Addison-Wesley, 1992, ISBN 0-201-10887-1.

1,426 citations