Progetto di reti Sensori Wireless e tecniche di Fusione Sensoriale

Ambient Intelligence (AmI) envisions a world where smart, electronic environments are aware and responsive to their context. People moving into these settings engage many computational devices and systems simultaneously even if they are not aware of their presence. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. The dependence on a large amount of fixed and mobile sensors embedded into the environment makes of Wireless Sensor Networks one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes, simple devices that typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. In order to handle the large amount of data generated by a WSN several multi sensor data fusion techniques have been developed. The aim of multisensor data fusion is to combine data to achieve better accuracy and inferences than could be achieved by the use of a single sensor alone. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas: Multimodal Surveillance and Activity Recognition. Novel techniques to handle data from a network of low-cost, low-power Pyroelectric InfraRed (PIR) sensors are presented. Such techniques allow the detection of the number of people moving in the environment, their direction of movement and their position. We discuss how a mesh of PIR sensors can be integrated with a video surveillance system to increase its performance in people tracking. Furthermore we embed a PIR sensor within the design of a Wireless Video Sensor Node (WVSN) to extend its lifetime. Activity recognition is a fundamental block in natural interfaces. A challenging objective is to design an activity recognition system that is able to exploit a redundant but unreliable WSN. We present our activity in building a novel activity recognition architecture for such a dynamic system. The architecture has a hierarchical structure where simple nodes performs gesture classification and a high level meta classifiers fuses a changing number of classifier outputs. We demonstrate the benefit of such architecture in terms of increased recognition performance, and fault and noise robustness. Furthermore we show how we can extend network lifetime by performing a performance-power trade-off. Smart objects can enhance user experience within smart environments. We present our work in extending the capabilities of the Smart Micrel Cube (SMCube), a smart object used as tangible interface within a tangible computing framework, through the development of a gesture recognition algorithm suitable for this limited computational power device. Finally the development of activity recognition techniques can greatly benefit from the availability of shared dataset. We report our experience in building a dataset for activity recognition. Such dataset is freely available to the scientific community for research purposes and can be used as a testbench for developing, testing and comparing different activity recognition techniques.

Knowledge Management and Decision Support for Sustainable Land Management

Much research has focused on desertification and land degradation assessments without putting sufficient emphasis on prevention and mitigation, although the concept of sustainable land management (SLM) is increasingly being acknowledged. A variety of SLM measures have already been applied at the local level, but they are rarely adequately recognised, evaluated, shared or used for decision support. WOCAT (World Overview of Technologies and Approaches) has developed an internationally recognised, standardised methodology to document and evaluate SLM technologies and approaches, including spatial distribution, allowing the sharing of SLM knowledge worldwide. The recent methodological integration into a participatory process allows now analysing and using this knowledge for decision support at the local and national level. The use of the WOCAT tools stimulates evaluation (self-evaluation as well as learning from comparing experiences) within SLM initiatives where all too often there is not only insufficient monitoring but also a lack of critical analysis. The comprehensive questionnaires and database system facilitate to document, evaluate and disseminate local experiences of SLM technologies and their implementation approaches. This evaluation process - in a team of experts and together with land users - greatly enhances understanding of the reasons behind successful (or failed) local practices. It has now been integrated into a new methodology for appraising and selecting SLM options. The methodology combines a local collective learning and decision approach with the use of the evaluated global best practices from WOCAT in a concise three step process: i) identifying land degradation and locally applied solutions in a stakeholder learning workshop; ii) assessing local solutions with the standardised WOCAT tool; iii) jointly selecting promising strategies for implementation with the help of a decision support tool. The methodology has been implemented in various countries and study sites around the world mainly within the FAO LADA (Land Degradation Assessment Project) and the EU-funded DESIRE project. Investments in SLM must be carefully assessed and planned on the basis of properly documented experiences and evaluated impacts and benefits: concerted efforts are needed and sufficient resources must be mobilised to tap the wealth of knowledge and learn from SLM successes.

Feasibility of Wii Fit Training to Improve Clinical Measures of Balance in Older Adults

Background and purpose: Numerous interventions have been proposed to improve balance in older adults with varying degrees of success. A novel approach may be to use an off-the-shelf video game system utilizing real-time force feedback to train older adults. The purpose of this study is to investigate the feasibility of using Nintendo's Wii Fit for training to improve clinical measures of balance in older adults and to retain the improvements after a period of time. Methods: Twelve healthy older adults (aged >70 years) were randomly divided into two groups. The experimental group completed training using Nintendo's Wii Fit game three times a week for 3 weeks while the control group continued with normal activities. Four clinical measures of balance were assessed before training, 1 week after training, and 1 month after training: Berg Balance Scale (BBS), Fullerton Advanced Balance (FAB) scale, Functional Reach (FR), and Timed Up and Go (TUG). Friedman two-way analysis of variance by ranks was conducted on the control and experimental group to determine if training using the Wii Balance Board with Wii Fit had an influence on clinical measures of balance. Results: Nine older adults completed the study (experimental group n = 4, control group n = 5). The experimental group significantly increased their BBS after training while the control group did not. There was no significant change for either group with FAB, FR, and TUG. Conclusion: Balance training with Nintendo's Wii Fit may be a novel way for older adults to improve balance as measured by the BBS.

Testing an alternative search algorithm for compound identification with the 'Wiley Registry of Tandem Mass Spectral Data. MSforID'

A tandem mass spectral database system consists of a library of reference spectra and a search program. State-of-the-art search programs show a high tolerance for variability in compound-specific fragmentation patterns produced by collision-induced decomposition and enable sensitive and specific 'identity search'. In this communication, performance characteristics of two search algorithms combined with the 'Wiley Registry of Tandem Mass Spectral Data, MSforID' (Wiley Registry MSMS, John Wiley and Sons, Hoboken, NJ, USA) were evaluated. The search algorithms tested were the MSMS search algorithm implemented in the NIST MS Search program 2.0g (NIST, Gaithersburg, MD, USA) and the MSforID algorithm (John Wiley and Sons, Hoboken, NJ, USA). Sample spectra were acquired on different instruments and, thus, covered a broad range of possible experimental conditions or were generated in silico. For each algorithm, more than 30,000 matches were performed. Statistical evaluation of the library search results revealed that principally both search algorithms can be combined with the Wiley Registry MSMS to create a reliable identification tool. It appears, however, that a higher degree of spectral similarity is necessary to obtain a correct match with the NIST MS Search program. This characteristic of the NIST MS Search program has a positive effect on specificity as it helps to avoid false positive matches (type I errors), but reduces sensitivity. Thus, particularly with sample spectra acquired on instruments differing in their Setup from tandem-in-space type fragmentation, a comparably higher number of false negative matches (type II errors) were observed by searching the Wiley Registry MSMS.

A methodology for appraising and selecting strategies to mitigate desertification based on stakeholder participation and global best practices

The main aim of the methodology presented in this paper is to provide a framework for a participatory process for the appraisal and selection of options to mitigate desertification and land degradation. This methodology is being developed within the EU project DESIRE (www.desire-project.eu/) in collaboration with WOCAT (www.wocat.org). It is used to select promising conservation strategies for test-implementation in each of the 16 degradation and desertification hotspot sites in the Mediterranean and around the world. The methodology consists of three main parts: In a first step, prevention and mitigation strategies already applied at the respective DESIRE study site are identified and listed during a workshop with representatives of different stakeholders groups (land users, policy makers, researchers). The participatory and process-oriented approach initiates a mutual learning process among the different stakeholders by sharing knowledge and jointly reflecting on current problems and solutions related to land degradation and desertification. In the second step these identified, locally applied solutions (technologies and approaches) are assessed with the help of the WOCAT methodology. Comprehensive questionnaires and a database system have been developed to document and evaluate all relevant aspects of technical measures as well as implementation approaches by teams of researchers and specialists, together with land users. This research process ensures systematic assessing and piecing together of local information, together with specific details about the environmental and socio-economic setting. The third part consists of another stakeholder workshop where promising strategies for sustainable land management in the given context are selected, based on the best practices database of WOCAT, including the evaluated locally applied strategies at the DESIRE sites. These promising strategies will be assessed with the help of a selection and decision support tool and adapted for test-implementation at the study site.

Prevalence and determinants of colonic polyps in children undergoing colonoscopy: A large hospital-based cross-sectional study

Background. Colorectal polyps are abnormal growths in the wall of the colon including the rectum. The study aims to estimate the prevalence and type of colonic polyps in children undergoing colonoscopic examination at Texas Children's Hospital (TCH) in Houston, Texas during 2000-2007. Also, to examine the factors associated with colonic polyps and the potential determinants of colonic polyps in children undergoing colonoscopy and compare those who had colonic polyps with those who did not on colonoscopy, and determine the significant risk factors of colonic polyps in these children. ^ Methods. We conducted a cross sectional study to analyze data collected at TCH. We obtained demographic, clinical, and histopathology information on consecutive patients who underwent colonoscopy during 2000-2007 from endoscopic records contained in the PEDS-CORI registry (Pediatric Endoscopy Database System-Clinical Outcomes Research Initiative), and abstracted data from the accompanying histopathology reports. ^ Results. We identified 2,693-unique patients, under 18 years of age, who underwent colonoscopy. Approximately 65.5% were white non-Hispanic, and 10.8% African-American. The mean age was 8.7 years and 51.8% were female patients. Polyps were present in 174 patients (6.5%). The most common two histological types were juvenile (60.6%), inflammatory (17.4%). We found that the prevalence of polyps was higher in younger aged children (12.9% in 0-5 years) than in older aged children (4% in 15-17 years), and slightly higher in males than in females (7.9% and 5.4% respectively). For males only, the odds of polyps were statistically significantly higher in Blacks and Hispanics compared to white non Hispanics (OR of 2.2 and 2.1, respectively, and 95% CI of 1.3, 3.9 and 1.3, 3.5 respectively). The indications for colonoscopy were different for children with polyps compared to those without polyps, i.e., 47.0% vs. 19.8% respectively for lower GI bleeding, 2.7% vs. 21.4% respectively for abdominal pain/bloating, and, or 0.9% vs. 9.6% respectively for diarrhea. ^ Conclusion. Colorectal polyps occur in about 1 in 15 children and adolescents undergoing first colonoscopy. The demographic variable of younger age is strongly associated with having polyps irrespective of ethnicity. Lower GI bleeding is strongly related to the presence of colorectal polyps in children and adolescents undergoing colonoscopy.^

La videovigilancia : tecnologías actuales y aspectos sociopolíticos

En este Proyecto de fin de carrera titulado: LA VÍDEOVIGILANCIA: TECNOLOGÍAS ACTUALES Y ASPECTOS SOCIOPOLÍTICOS, tiene como objetivo hacer un estudio en los sistemas de Vídeovigilancia basado en cámaras-IP, con fines de seguridad, control o supervisión. Nos basaremos en exponer los sistemas Vídeovigilancia basados en cámara-IP actuales de ultima generación, cuya principal virtud de estos sistemas, es la comunicación con otros lugares, o espacios públicos como privados y poder visualizar tanto en vivo como en diferido lo que este pasando en ese lugar y en ese momento o haya pasado a través del protocolo de comunicación-IP. Se explicara desde el más básico al más complejo sistema de videovigilancia-IP, también explicaremos su puesta en practica mediante los múltiples interconexiones que estos conlleven. Llegando a este punto, se nos plantea las siguientes cuestiones que da origen a este PFC. Estos sistemas de Vídeovigilancia-IP, captan las imágenes por medio de las cámaras-IP, proporcionando su facilidad tanto de visionado/grabacion, como de control, ya que no es necesario estar presente e interactuando con otros sistemas digitales de diverso índole actuales, gracias al protocolo-IP. Estos sistemas-IP, tienen su puesta en práctica mediante las instalaciones requeridas ,estas podrán ser sencillas o muy complejas de todos los sistemas-IP. Debido al gran aumento masivo, las tecnologías actuales de diverso índole de cámaras-IP en materia de la vídeovigilancia en lugares públicos, y privados en nuestra sociedad actual, lo hace un medio particularmente invasivo y por ello resulta necesario tanto la concurrencia de condiciones que legitimen los tratamientos de datos de personas identificables, como la definición de los principios y garantías que deban aplicarse ya que estas, repercutirán sobre los derechos de las personas, lo que obligara a fijar ciertas garantías. Se nos plantea los casos en los que la captación y/o tratamiento de imágenes con fines de Vídeovigilancia que pertenezcan a personas identificadas o identificables, ha obligado a España, y según dispuesto por la Directiva 95/46/CE del Parlamento Europeo, a regularizar esta situación mediante la Ley Orgánica de Protección de Datos (LOPD) 15/1999 de 13 de diciembre, bajo los procedimientos del Estado español en materia sociopolítica, y dando vigor a esta ley, mediante la aprobación de la Instrucción 1/2006 de 8 de noviembre de 2006, cuyo máximo organismo es la Agencia española de Protección de Datos (AGPD). Una vez planteada la motivación y justificación del proyecto, se derivan unos objetivos a cumplir con la realización del mismo. Los objetivos del proyecto se pueden diferenciar en dos clases principalmente. Los objetivos principales y objetivos secundarios. Los objetivos principales de este PFC, nacen directamente de las necesidades planteadas originalmente en materia de Vídeovigilancia, tanto tecnológicamente basado en las cámaras-IP en la captación y/o tratamiento de imágenes, así como sociopolíticamente donde trataremos de describirlo mediante las indicaciones y criterios con casos prácticos y de cómo deben de aplicarse según la instrucción 1/2006 mediante la LOPD en materia de Vídeovigilancia, en cuanto a la protección de datos que puedan repercutir sobre el derecho de las personas. Por otra parte los objetivos secundarios, son la extensión del objetivo primario y son de orden cuantificador en este PFC, dando una explicación más exhaustiva del objetivo principal. ABSTRACT In this final year project, entitled: THE VIDEOSURVEILLANCE: CURRENT TECHNOLOGIES AND POLITICALSOCIALS ASPECTS, aims to make a study of video surveillance systems based on IP cameras, for security, control or supervision. We will rely on to expose the camera based video surveillance systems IP-current last generation, whose main virtue of these systems, is communication with other places, or public and private spaces and to view both live and time so this happening in that place and at that time or passed through-IP communication protocol. He explained from the most basic to the most complex-IP video surveillance system, also explain its implementation into practice through multiple interconnections that these entail. Arriving at this point, we face the following issues which gave rise to this PFC. These IP-video surveillance systems, captured images through IP-cameras, providing both ease of viewing / recording, as a control, since it is not necessary to be present and interacting with other digital systems such diverse today, thanks IP-protocol. These systems-IP, have their implementation through the facilities required, these can be simple or very complex all-IP video surveillance systems. Due to the large increase in mass, current technologies of different kinds of IP cameras for video surveillance in public places, and private in our society, it makes a particularly invasive and therefore attendance is necessary both conditions that legitimize data processing of identifiable people, as the definition of the principles and safeguards to be applied as these will impact on the rights of the people, which forced to set certain guarantees. We face those cases in which the uptake and / or image processing video surveillance purposes belonging to identified or identifiable, has forced Spain, and as required by Directive 95/46/EC of the European Parliament, to regularize this situation by the Organic Law on Data Protection (LOPD) 15/1999 of December 13, under the procedures of the Spanish State in sociopolitical, and giving effect to this Act, with the approval of the Instruction 1/2006 of 8 November 2006, the governing body is the Spanish Agency for Data Protection (AGPD). Once raised the motivation and justification for the project, resulting in meeting targets to achieve the same. Project objectives can be differentiated into two main classes, the main objectives and secondary objectives: The main objectives of this PFC, born directly from requirements originally raised for capturing both technologically imaging me and try to describe where sociopolitically, the details and criteria as case studies and should be applied according to the instruction 1 / 2006 by the LOPD on video surveillance system in terms of data protection that could impact on the right people. Moreover the secondary objectives are the extension of the primary and are of a quantifier in this PFC, giving a fuller explanation of the main objective.

Aplicación móvil multiplataforma para el aprendizaje de lenguajes de programación. Caso práctico con Swift

En este proyecto se ha estudiado el abanico de posibilidades que las plataformas web y móviles ofrecen para aprender lenguajes de programación compilados. A continuación, se ha realizado el diseño y la implementación de una plataforma para el aprendizaje de lenguajes de programación desde dispositivos móviles, con posibilidad de compilación remota desde la aplicación desarrollada, analizando el proceso y las elecciones de desarrollo tomadas. Así, se ha desarrollado una app mediante la plataforma de desarrollo Cordova, que puede ser distribuida para todas las plataformas móviles que esta soporta, incluyendo las más populares: iOS y Android. Para la parte servidora se ha utilizado un servidor Apache (PHP) y el sistema NoSQL MongoDB para la base de datos. Para mayor facilidad en la gestión del contenido de la app, se ha desarrollado en paralelo un gestor web de la base de datos, el cual permite añadir, editar y eliminar contenido de la misma a través de una interfaz agradable y funcional. ABSTRACT. In this project I have studied the range of possibilities that web and mobile platforms offer to learn compiled programming languages. Next, I have designed and implemented a platform for learning programming languages from mobile devices, giving the possibility of remote compilation within the developed application. In this terms, I have developed an app with the Cordova development platform, which can be distributed for all the mobile platforms Cordova supports, including the most popular ones: iOS and Android. For the server part, I have used an Apache (PHP) server and the NoSQL database system MongoDB. In order to offer a more usable system and a better database management, I have also developed a web manager for the database, from which database content can be added, edited and removed, through a clear and functional interface.

Methods and Techniques for the Generation and Eficient Exploitation of RDB2RDF Mappings

RDB to RDF Mapping Language (R2RML) es una recomendación del W3C que permite especificar reglas para transformar bases de datos relacionales a RDF. Estos datos en RDF se pueden materializar y almacenar en un sistema gestor de tripletas RDF (normalmente conocidos con el nombre triple store), en el cual se pueden evaluar consultas SPARQL. Sin embargo, hay casos en los cuales la materialización no es adecuada o posible, por ejemplo, cuando la base de datos se actualiza frecuentemente. En estos casos, lo mejor es considerar los datos en RDF como datos virtuales, de tal manera que las consultas SPARQL anteriormente mencionadas se traduzcan a consultas SQL que se pueden evaluar sobre los sistemas gestores de bases de datos relacionales (SGBD) originales. Para esta traducción se tienen en cuenta los mapeos R2RML. La primera parte de esta tesis se centra en la traducción de consultas. Se propone una formalización de la traducción de SPARQL a SQL utilizando mapeos R2RML. Además se proponen varias técnicas de optimización para generar consultas SQL que son más eficientes cuando son evaluadas en sistemas gestores de bases de datos relacionales. Este enfoque se evalúa mediante un benchmark sintético y varios casos reales. Otra recomendación relacionada con R2RML es la conocida como Direct Mapping (DM), que establece reglas fijas para la transformación de datos relacionales a RDF. A pesar de que ambas recomendaciones se publicaron al mismo tiempo, en septiembre de 2012, todavía no se ha realizado un estudio formal sobre la relación entre ellas. Por tanto, la segunda parte de esta tesis se centra en el estudio de la relación entre R2RML y DM. Se divide este estudio en dos partes: de R2RML a DM, y de DM a R2RML. En el primer caso, se estudia un fragmento de R2RML que tiene la misma expresividad que DM. En el segundo caso, se representan las reglas de DM como mapeos R2RML, y también se añade la semántica implícita (relaciones de subclase, 1-N y M-N) que se puede encontrar codificada en la base de datos. Esta tesis muestra que es posible usar R2RML en casos reales, sin necesidad de realizar materializaciones de los datos, puesto que las consultas SQL generadas son suficientemente eficientes cuando son evaluadas en el sistema gestor de base de datos relacional. Asimismo, esta tesis profundiza en el entendimiento de la relación existente entre las dos recomendaciones del W3C, algo que no había sido estudiado con anterioridad. ABSTRACT. RDB to RDF Mapping Language (R2RML) is a W3C recommendation that allows specifying rules for transforming relational databases into RDF. This RDF data can be materialized and stored in a triple store, so that SPARQL queries can be evaluated by the triple store. However, there are several cases where materialization is not adequate or possible, for example, if the underlying relational database is updated frequently. In those cases, RDF data is better kept virtual, and hence SPARQL queries over it have to be translated into SQL queries to the underlying relational database system considering that the translation process has to take into account the specified R2RML mappings. The first part of this thesis focuses on query translation. We discuss the formalization of the translation from SPARQL to SQL queries that takes into account R2RML mappings. Furthermore, we propose several optimization techniques so that the translation procedure generates SQL queries that can be evaluated more efficiently over the underlying databases. We evaluate our approach using a synthetic benchmark and several real cases, and show positive results that we obtained. Direct Mapping (DM) is another W3C recommendation for the generation of RDF data from relational databases. While R2RML allows users to specify their own transformation rules, DM establishes fixed transformation rules. Although both recommendations were published at the same time, September 2012, there has not been any study regarding the relationship between them. The second part of this thesis focuses on the study of the relationship between R2RML and DM. We divide this study into two directions: from R2RML to DM, and from DM to R2RML. From R2RML to DM, we study a fragment of R2RML having the same expressive power than DM. From DM to R2RML, we represent DM transformation rules as R2RML mappings, and also add the implicit semantics encoded in databases, such as subclass, 1-N and N-N relationships. This thesis shows that by formalizing and optimizing R2RML-based SPARQL to SQL query translation, it is possible to use R2RML engines in real cases as the resulting SQL is efficient enough to be evaluated by the underlying relational databases. In addition to that, this thesis facilitates the understanding of bidirectional relationship between the two W3C recommendations, something that had not been studied before.

Constrained self-organizing feature map to preserve feature extraction topology

In many classification problems, it is necessary to consider the specific location of an n-dimensional space from which features have been calculated. For example, considering the location of features extracted from specific areas of a two-dimensional space, as an image, could improve the understanding of a scene for a video surveillance system. In the same way, the same features extracted from different locations could mean different actions for a 3D HCI system. In this paper, we present a self-organizing feature map able to preserve the topology of locations of an n-dimensional space in which the vector of features have been extracted. The main contribution is to implicitly preserving the topology of the original space because considering the locations of the extracted features and their topology could ease the solution to certain problems. Specifically, the paper proposes the n-dimensional constrained self-organizing map preserving the input topology (nD-SOM-PINT). Features in adjacent areas of the n-dimensional space, used to extract the feature vectors, are explicitly in adjacent areas of the nD-SOM-PINT constraining the neural network structure and learning. As a study case, the neural network has been instantiate to represent and classify features as trajectories extracted from a sequence of images into a high level of semantic understanding. Experiments have been thoroughly carried out using the CAVIAR datasets (Corridor, Frontal and Inria) taken into account the global behaviour of an individual in order to validate the ability to preserve the topology of the two-dimensional space to obtain high-performance classification for trajectory classification in contrast of non-considering the location of features. Moreover, a brief example has been included to focus on validate the nD-SOM-PINT proposal in other domain than the individual trajectory. Results confirm the high accuracy of the nD-SOM-PINT outperforming previous methods aimed to classify the same datasets.

A scaleless data model for direct and progressive spatial query processing

A progressive spatial query retrieves spatial data based on previous queries (e.g., to fetch data in a more restricted area with higher resolution). A direct query, on the other side, is defined as an isolated window query. A multi-resolution spatial database system should support both progressive queries and traditional direct queries. It is conceptually challenging to support both types of query at the same time, as direct queries favour location-based data clustering, whereas progressive queries require fragmented data clustered by resolutions. Two new scaleless data structures are proposed in this paper. Experimental results using both synthetic and real world datasets demonstrate that the query processing time based on the new multiresolution approaches is comparable and often better than multi-representation data structures for both types of queries.