Angélica González

Multi-agent system to monitor oceanic environments

The exchange of CO

Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction

_{2}

UAVs Applied to the Counting and Monitoring of Animals

between the atmosphere and the ocean surface is a problem that has become increasingly important due to its impact on climatic behavior. Given the large quantity of sources of information available for studying the CO

A new clustering algorithm applying a hierarchical method neural network

_{2}

HERA: a new platform for embedding agents in heterogeneous wireless sensor networks

problem, it is necessary to provide innovative solutions that facilitate the automation of certain tasks and incorporate decision support systems to obtain a better understanding of this phenomenon. This paper presents a multiagent architecture aimed at providing solutions for monitoring the interaction between the atmosphere and the ocean. The ocean surface and the atmosphere exchange carbon dioxide. This process is can be modeled by a multiagent system with advanced learning and adaption capabilities. The proposed multiagent architecture incorporates CBR-agents that integrate novel strategies that both monitor the parameters that affect the interaction, and facilitate the creation of models. The system was tested and this paper presents the results obtained.

A Security Proposal Based on a Real Time Agent to Protect Web Services Against DoS Attack

This work presents a system for automatically evaluating the interaction that exists between the atmosphere and the ocean’s surface. Monitoring and evaluating the ocean’s carbon exchange process is a function that requires working with a great amount of data: satellite images and in situ vessel’s data. The system presented in this study focuses on computational intelligence. The study presents an intelligent system based on the use of case-based reasoning (CBR) systems and offers a distributed model for such an interaction. Moreover, the system takes into account the fact that the working environment is dynamic and therefore it requires autonomous models that evolve over time. In order to resolve this problem, an intelligent environment has been developed, based on the use of CBR systems, which are capable of handling several goals, by constructing plans from the data obtained through satellite images and research vessels, acquiring knowledge and adapting to environmental changes. The artificial intelligence system has been successfully tested in the North Atlantic Ocean, and the results obtained will be presented in this study.

Face Identification by Real-Time Connectionist System

The advantages of intelligent approaches such as the conjunction of artificial vision and the use of Unmanned Aerial Vehicles (UAVs) have been recently emerging. This paper presents a focused on obtaining scans of large areas of livestock system. Counting and monitoring of animal species can be performed with video recordings taken from UAVs. Moreover the system keeps track of the number of animals detected by analyzing the images taken with the UAVs cameras. Several tests have been performed to evaluate this system and preliminary results and the conclusions are presented in this paper.

A Fingerprint-Based Secure Communications Method

Abstract Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many require defining additional information, including the actual number of clusters, before they can be carried out. The case study of this research presents a novel neural network that is capable of creating groups by using a combination of hierarchical clustering and self-organizing maps, without requiring the number of existing clusters to be specified beforehand. Key words: Clustering, SOM, hierarchical clustering, PAM, Dendrogram, 1. Introduction Cluster analysis is a branch of multivariate statistical analysis that is used for detecting patterns in the classification of elements. Cluster analysis is used in a wide variety of fields including bioinformatics [9] [19] and surveillance [14] [15]. The methods used for clustering differ considerably according to the type of data and the amount of available information. Clustering techniques are typically broken down into the following categories [18] [19]

Advanced System for Management and Recognition of Minutiae in Fingerprints

Ambient Intelligence (AmI) based systems require the development of innovative solutions that integrate distributed intelligent systems with context-aware technologies In this sense, Multi-Agent Systems (MAS) and Wireless Sensor Networks (WSN) are two key technologies for developing distributed systems based on AmI scenarios This paper presents the new HERA (Hardware-Embedded Reactive Agents) platform, that allows using dynamic and self-adaptable heterogeneous WSNs on which agents are directly embedded on the wireless nodes This approach facilitates the inclusion of context-aware capabilities in AmI systems to gather data from their surrounding environments, achieving a higher level of ubiquitous and pervasive computing.

An Enhancement of the Usage of the Poincare Index for the Detection and Classification of Characteristic Points in Dactylograms

This paper describes a novel proposal based on a real time agent to detect and block denial of service attacks within web services environments. The real time agent incorporates a classification mechanism based on a Case-Base Reasoning (CBR) model, where the different CBR phases are time bounded. In addition, the reuse phase of the CBR cycle incorporates a mixture of experts to choose a specific technique of classification depending on the feature of the attack and the available time to solve the classification.