Amparo Vila

Linguistic summarization of long-term trends for understanding change in human behavior

In this paper, we propose a linguistic summarization procedure for describing long-term trends of change in human behavior. Our objective consists of defining methods that provide information to elders, caregivers, social workers or even family in an understandable language. We adapt a measure that we defined in previous work on soft cluster partition similarity for comparing behaviors that are adapted over time. From that measure, we are able to produce a time series that numerically describes change in behavior over time. In this article, the resulting time series is partitioned and linguistically summarized depending on a users (caregiver, social worker, etc.) desired time resolution. Simulated resident behavior is used in order to explore a range of different scenarios and the response of the proposed linguistic summarization process is investigated.

A fuzzy multidimensional model for supporting imprecision in OLAP

The use of OLAP technology in new knowledge fields and the merge of data from different sources have made appeared new requirements for models to support this technology. What we propose in this paper is a new multidimensional model that can manage imprecision both in the dimensions and the facts. This enables the multidimensional structure to model the imprecision of the data as a result of the integration of data from different sources or even information from experts. This is done by means of fuzzy logic.

On the use of hierarchical clustering in fuzzy modeling

Some methods of fuzzy clustering need to use a priori knowledge about the number of fuzzy classes or some other information about the possible distribution of the clusters. A way to improve these methods is to use hierarchical clustering as a preprocessing of the data. This approach does not provide a simple partition of the data set, but a hierarchy of them. In this paper we define several measures using fuzzy-set tools, to establish a ranking between the different possible partitions. The characteristics and properties of these criteria are studied. The paper finishes with some remarks about the use of these results in different unsupervised learning situations.

A Fuzzy Temporal Rule-based System for handling the Nursing Process on mobile devices

Nowadays, mobile devices offer new methods to retrieve information everywhere. In the nursing area, this technology is highly suitable due to the ubiquity in this profession. In this paper, we present a new version of Medea, a mobile system that provides storing the evolution of patients from handheld devices using the nursing viewpoint. Medea is relied on the Need Theory of Virginia Henderson, as patient valuation model, and the nursing taxonomies of NANDA, NIC and NOC, as patient care plan. In addition, the vital signs of patients have been integrated in the mobile application. The main complementary innovation of Medea is an expert system based on fuzzy temporal rules, which suggests diagnoses, interventions and outcomes from the patient valuation and the vital signs. This model takes into account the importance of the data and temporal dimension in the patient symptoms. Furthermore, the complexity of the nursing domain has been synthesized in a few concepts, which make possible the creation of rules in an easy way.

Resolucion por programacion parametrica del problema Multiobjetivo Lineal Difuso

ResumenEn este artículo se propone una solución difusa al problema Multiobjetivo Lineal Difuso. Tal solución contiene, como valores particulares, las soluciones puntuales que otros autores han obtenido. El método que se emplea es independiente de la linealidad de las funciones de pertenencia que se consideren. El problema también se extiende al caso en que el conjunto de restricciones sea, junto con los objetivos, difuso.AbstractIn this paper a fuzzy solution to the Fuzzy Linear Vectormaximum problem is proposed. This solution involves the puntual solutions obtained by other authors, as particular values. Method used and linearity of membership functions considered are independent. For the case in which both objective and constraints are fuzzy the problem is extended too.

Transcribing Debussy's Syrinx dynamics through Linguistic Description

Advances in computational power have enabled the manipulation of music audio files and the emergence of the Music Information Retrieval field. One of the main research lines in this area is that of Music Transcription, which aims at transforming an audio file into musical notation. So far, most efforts have focused on accurately transcribing the pitch and durations of the notes, and thus neglecting other aspects in the music score. The present work explores a novel line of action in the context of automatic music transcription, focusing on the dynamics, and by means of Linguistic Description. The process described in this paper (called MUDELD: MUsic Dynamics Extraction through Linguistic Description) departs from the data series representing the audio file, and requires the segmentation of the piece in phrases, which is currently done by hand. Initial experiments have been performed on eight recordings of Debussys Syrinx with promising results.

An Ambient Intelligent Approach to Control Behaviours on a Tagged World

Society is changing. People are older and need more services. Ambient Assisted is one the most important problem and a great studied field. In this field, we empathize systems that help people to make their daily activities. In this paper, we propose a system to control user daily behaviours and provide services according with them. We introduce our system in a Tagged World, a smart place that collects user activities using a sensor network. Our System uses information from sensors to extract behaviour sequence patterns that are used to reason and to obtain a specific service.

Integrating Video Streaming from Heterogeneous Sources in Mobile Devices

Thanks to technological advances, there exist many different devices with cameras in our environment. Among them, the mobile devices, which offer the ability to display multimedia resources from the palm of the hands, and even to act as video sources. However, the heterogeneity of devices makes difficult the multimedia integration within the systems. This problem is the focus of this document. Our proposal integrates different video resources, such as IP cameras, webcams or Aibo cameras. In turn, we develop the video viewers for PDA and mobile phones, emphasizing the portability in handheld devices. Finally we present the techniques for generating video streaming from the cameras of mobile devices.

Semantic Building Maps in Mobile Devices

The oldest form of environment representation is the map. In this paper, we present a framework for represent Building Maps. Our proposal is novel because we add semantic to maps for processing and reasoning their content automatically. An Ontology for Building Maps has been designed to establish a communication between the environment and people. The strength of the Ontology is that it represents the semantic qualities, not just the graphic forms. In order to query the building information on an ubiquitous way, our approach has been developed on mobile devices. Thanks to semantic representation, the mobile system integrates routing using the A-star algorithm in the device itself. Besides, we propose a new angles-based heuristic that improves the distance estimation. Finally, we show how update the map information or query routing from remote devices through Network Services.