A hybrid intelligent system for the analysis of atmospheric pollution: a case study in two European regions

The combined application of several soft-computing and statistical techniques is proposed for the characterization of atmospheric conditions in two European regions: Madrid (Spain) and Prague (Czech Republic). The resulting Hybrid Artificial Intelligence System (HAIS) combines projection models for dimensionality reduction and clustering, combining neural and fuzzy paradigms, in a decision support tool. In present article, this proposed HAIS is applied to analyse the air quality in these two geographical regions and get a better understanding of its circumstances and evolution. To do so, real-life data from six data-acquisition stations are analysed. The main pollutants recorded at these stations between 2007 and 2014, their geographical locations and seasonal changes are all studied, in a research that shows how such factors determine variations in air-borne pollutants. Furthermore, neural projections of the clustering results from data on atmospheric pollution are studied

4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings

This volume constitutes the refereed proceedings of the 4th International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2009, held in Salamanca, Spain, in June 2009. The 85 papers presented, were carefully reviewed and selected from 206 submissions. The topics covered are agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, real world HAIS applications and data uncertainty, hybrid artificial intelligence in bioinformatics, evolutionary multiobjective machine learning, hybrid reasoning and coordination methods on multi-agent systems, methods of classifiers fusion, knowledge extraction based on evolutionary learning, hybrid systems based on bioinspired algorithms and argumentation methods, hybrid evolutionry intelligence in financial engineering

PROCES KSZTAŁCENIA W ZAKRESIE PROFILAKTYKI I KONTROLI ZAKAŻEŃ ZWIĄZANYCH Z OPIEKĄ ZDROWOTNĄ W EUROPEJSKICH INSTYTUCJACH SZKOLNICTWA WYŻSZEGO – BADANIE JAKOŚCIOWE

[EN] Healthcare-associated infections (HCAIs) affect the lives of patients through prolonged stay in hospital, illness, or even death, incurring signifi cant costs to both healthcare systems and society. Research shows that during a stay in a hospital, approximately 20% to 30% of patients are diagnosed with at least one infection. Openness, fi ne interpersonal and communication skills as well as adequate opportunities for training courses for healthcare staff contribute to promoting HCAI/HAI prevention. HCAI/HAI-related education should contribute to widening knowledge and mastering practical skills. It is assumed that lecturers, professional instructors, and coordinators create a signifi cant foundation for professional development and social interactions by applying interactive pedagogical models. [POL] Zakażenia związane z opieką zdrowotną (Healthca- re associated infections, HCAI) wpływają na życie pacjentów poprzez przedłużony pobyt w szpitalu, chorobę, a nawet śmierć, powodując znaczne koszty zarówno dla systemów opieki zdrowotnej, jak i spo- łeczeństwa. Badania pokazują, że podczas pobytu w szpitalu u około 20% do 30% pacjentów diagnozuje się co najmniej jedną infekcję Otwarte podejście, wysokie umiejętności interpersonalne i komu- nikacyjne, a także odpowiednie możliwości szkoleń dla personelu medycznego przyczyniają się do promowania profi laktyki HCAI/ HAI. Kształcenie w zakresie HCAI/HAI powinno przyczynić się do poszerzenia wiedzy i opanowania praktycznych umiejętności. Zakłada się, że wykładowcy, profesjonalni instruktorzy, koordy- natorzy tworzą istotne podstawy rozwoju zawodowego i interakcji społecznych poprzez stosowanie interaktywnych modeli pedago- gicznych

A Solution CBR Agent-Based to Classify SOAP Message within SOA Environments

This paper presents the core component of a solution based on agent technology specifically adapted for the classification of SOA messages. These messages can carry out attacks that target the applications providing Web Services. An advanced mechanism of classification designed in two phases incorporates a CBR-Agent type for classifying the incoming SOAP messages as legal or malicious. Its main feature involves the use of decision trees, fuzzy logic rules and neural networks for filtering attacks.This paper presents the core component of a solution based on agent technology specifically adapted for the classification of SOA messages. These messages can carry out attacks that target the applications providing Web Services. An advanced mechanism of classification designed in two phases incorporates a CBR-Agent type for classifying the incoming SOAP messages as legal or malicious. Its main feature involves the use of decision trees, fuzzy logic rules and neural networks for filtering attacks

Self-organizing multi-agent system for management and planning surveillance routes

This paper presents the THOMAS architecture, specially designed to model open multi-agent systems, and its application in the development of a multi-agent system for managing and planning surveillance routes for security personnel. THOMAS uses agents with reasoning and planning capabilities. These agents can perform a dynamic self-organization when they detect changes in the environment. THOMAS is appropriate for developing systems in highly dynamic environments similar to the one presented in this study, as demonstrated by the results obtained after having applied the system to a case study.Web of Science3151100108

Self-Organizing Multi-Agent System for Management and Planning Surveillance Routes

This paper presents the THOMAS architecture, specially designed to model open multi-agent systems, and its application in the development of a multi-agent system for managing and planning surveillance routes for security personnel. THOMAS uses agents with reasoning and planning capabilities. These agents can perform a dynamic self-organization when they detect changes in the environment. THOMAS is appropriate for developing systems in highly dynamic environments similar to the one presented in this study, as demonstrated by the results obtained after having applied the system to a case study

Agents in Home Care: A Case Study

Home Care is the term used to refer to any kind of care to a person at his own home. This article presents a case study of the HoCa hybrid multiagent architecture aimed at improving of dependent people in their homes. Hoca architecture uses a set of distributed components to provide a solution to the needs of the assisted people and its main components are software agents that interact with the environment through a distributed communications system. This paper describes the hybrid multiagent system in a home care environment and presents the results obtained

A Practical Approach to the Development of Ontology-Based Information Fusion Systems

Proceedings of: NATO Advanced Study Institute (ASI) on Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems, Salamanca, 19-30 September, 2011Ontology-based representations are gaining momentum among other alternatives to implement the knowledge model of high-level fusion applications. In this paper, we provide an introduction to the theoretical foundations of ontology-based knowledge representation and reasoning, with a particular focus on the issues that appear in maritime security –where heterogeneous regulations, information sources, users, and systems are involved. We also present some current approaches and existing technologies for high-level fusion based on ontological representations. Unfortunately, current tools for the practical implementation of ontology-based systems are not fully standardized, or even prepared to work together in medium-scale systems. Accordingly, we discuss different alternatives to face problems such as spatial and temporal knowledge representation or uncertainty management. To illustrate the conclusions drawn from this research, an ontology-based semantic tracking system is briefly presented. Results and latent capabilities of this framework are shown at the end of the paper, where we also envision future opportunities for this kind of applications.This research activity is supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/TIC-1485) and DPS 2008-07029-C02-02.Publicad