Diseño, implementación y evaluación de un juego educativo basado en puzles con scaffolding orientado a la programación

Existe una falta de interés por parte de los estudiantes en el área de las Tecnologías de la Información y la Comunicación (TIC) que se ve reflejada en el descenso de las matriculaciones en este ámbito. El uso de metodologías de aprendizaje basadas en el Constructivismo combinadas con tecnología software, se ha observado que es una buena solución para afrontar dicha falta de interés. Sin embargo, actualmente no existen aplicaciones software que implementen estas metodologías pedagógicas y que proporcionen a los estudiantes los mecanismos de ayuda necesarios (Scaffolding) para darles soporte durante el aprendizaje de conceptos TIC. Una posible solución a este problema es el uso de juegos educativos, los cuáles implementarán técnicas de Scaffolding que den el soporte necesario al estudiante para alcanzarlos objetivos de aprendizaje fijados. Por tanto, en este proyecto se diseñará e implementará un juego educativo basado en puzles orientado a la Programación que estará basado en un método aprendizaje basado en el Constructivismo en el que el estudiante construye su propio conocimiento. Una vez implementado, será evaluado en un centro escolar por parte deestudiantes de últimos cursos de ESO o Bachillerato.

Preliminary slope mass movement susceptibility mapping using DEM and LiDAR DEM

Hazard mapping in mountainous areas at the regional scale has greatly changed since the 1990s thanks to improved digital elevation models (DEM). It is now possible to model slope mass movement and floods with a high level of detail in order to improve geomorphologic mapping. We present examples of regional multi-hazard susceptibility mapping through two Swiss case studies, including landslides, rockfall, debris flows, snow avalanches and floods, in addition to several original methods and software tools. The aim of these recent developments is to take advantage of the availability of high resolution DEM (HRDEM) for better mass movement modeling. Our results indicate a good correspondence between inventories of hazardous zones based on historical events and model predictions. This paper demonstrates that by adapting tools and methods issued from modern technologies, it is possible to obtain reliable documents for land planning purposes over large areas.

BIO-INSPIRED COMPUTATIONAL TECHNIQUES APPLIED TO THE CLUSTERING AND VISUALIZATION OF SPATIO-TEMPORAL GEOSPATIAL DATA

The coverage and volume of geo-referenced datasets are extensive and incessantly¦growing. The systematic capture of geo-referenced information generates large volumes¦of spatio-temporal data to be analyzed. Clustering and visualization play a key¦role in the exploratory data analysis and the extraction of knowledge embedded in¦these data. However, new challenges in visualization and clustering are posed when¦dealing with the special characteristics of this data. For instance, its complex structures,¦large quantity of samples, variables involved in a temporal context, high dimensionality¦and large variability in cluster shapes.¦The central aim of my thesis is to propose new algorithms and methodologies for¦clustering and visualization, in order to assist the knowledge extraction from spatiotemporal¦geo-referenced data, thus improving making decision processes.¦I present two original algorithms, one for clustering: the Fuzzy Growing Hierarchical¦Self-Organizing Networks (FGHSON), and the second for exploratory visual data analysis:¦the Tree-structured Self-organizing Maps Component Planes. In addition, I present¦methodologies that combined with FGHSON and the Tree-structured SOM Component¦Planes allow the integration of space and time seamlessly and simultaneously in¦order to extract knowledge embedded in a temporal context.¦The originality of the FGHSON lies in its capability to reflect the underlying structure¦of a dataset in a hierarchical fuzzy way. A hierarchical fuzzy representation of¦clusters is crucial when data include complex structures with large variability of cluster¦shapes, variances, densities and number of clusters. The most important characteristics¦of the FGHSON include: (1) It does not require an a-priori setup of the number¦of clusters. (2) The algorithm executes several self-organizing processes in parallel.¦Hence, when dealing with large datasets the processes can be distributed reducing the¦computational cost. (3) Only three parameters are necessary to set up the algorithm.¦In the case of the Tree-structured SOM Component Planes, the novelty of this algorithm¦lies in its ability to create a structure that allows the visual exploratory data analysis¦of large high-dimensional datasets. This algorithm creates a hierarchical structure¦of Self-Organizing Map Component Planes, arranging similar variables' projections in¦the same branches of the tree. Hence, similarities on variables' behavior can be easily¦detected (e.g. local correlations, maximal and minimal values and outliers).¦Both FGHSON and the Tree-structured SOM Component Planes were applied in¦several agroecological problems proving to be very efficient in the exploratory analysis¦and clustering of spatio-temporal datasets.¦In this thesis I also tested three soft competitive learning algorithms. Two of them¦well-known non supervised soft competitive algorithms, namely the Self-Organizing¦Maps (SOMs) and the Growing Hierarchical Self-Organizing Maps (GHSOMs); and the¦third was our original contribution, the FGHSON. Although the algorithms presented¦here have been used in several areas, to my knowledge there is not any work applying¦and comparing the performance of those techniques when dealing with spatiotemporal¦geospatial data, as it is presented in this thesis.¦I propose original methodologies to explore spatio-temporal geo-referenced datasets¦through time. Our approach uses time windows to capture temporal similarities and¦variations by using the FGHSON clustering algorithm. The developed methodologies¦are used in two case studies. In the first, the objective was to find similar agroecozones¦through time and in the second one it was to find similar environmental patterns¦shifted in time.¦Several results presented in this thesis have led to new contributions to agroecological¦knowledge, for instance, in sugar cane, and blackberry production.¦Finally, in the framework of this thesis we developed several software tools: (1)¦a Matlab toolbox that implements the FGHSON algorithm, and (2) a program called¦BIS (Bio-inspired Identification of Similar agroecozones) an interactive graphical user¦interface tool which integrates the FGHSON algorithm with Google Earth in order to¦show zones with similar agroecological characteristics.

Visualization Resources for Iowa State University and the Iowa DOT: An Automated Design Model to Simulator Converter, November 2012

This project developed an automatic conversion software tool that takes input a from an Iowa Department of Transportation (DOT) MicroStation three-dimensional (3D) design file and converts it into a form that can be used by the University of Iowa’s National Advanced Driving Simulator (NADS) MiniSim. Once imported into the simulator, the new roadway has the identical geometric design features as in the Iowa DOT design file. The base roadway appears as a wireframe in the simulator software. Through additional software tools, textures and shading can be applied to the roadway surface and surrounding terrain to produce the visual appearance of an actual road. This tool enables Iowa DOT engineers to work with the universities to create drivable versions of prospective roadway designs. By driving the designs in the simulator, problems can be identified early in the design process. The simulated drives can also be used for public outreach and human factors driving research.

Spatial Scale of Clustering of Motor Vehicle Crash Types and Appropriate Countermeasures, 2009

This project analyzes the characteristics and spatial distributions of motor vehicle crash types in order to evaluate the degree and scale of their spatial clustering. Crashes occur as the result of a variety of vehicle, roadway, and human factors and thus vary in their clustering behavior. Clustering can occur at a variety of scales, from the intersection level, to the corridor level, to the area level. Conversely, other crash types are less linked to geographic factors and are more spatially “random.” The degree and scale of clustering have implications for the use of strategies to promote transportation safety. In this project, Iowa's crash database, geographic information systems, and recent advances in spatial statistics methodologies and software tools were used to analyze the degree and spatial scale of clustering for several crash types within the counties of the Iowa Northland Regional Council of Governments. A statistical measure called the K function was used to analyze the clustering behavior of crashes. Several methodological issues, related to the application of this spatial statistical technique in the context of motor vehicle crashes on a road network, were identified and addressed. These methods facilitated the identification of crash clusters at appropriate scales of analysis for each crash type. This clustering information is useful for improving transportation safety through focused countermeasures directly linked to crash causes and the spatial extent of identified problem locations, as well as through the identification of less location-based crash types better suited to non-spatial countermeasures. The results of the K function analysis point to the usefulness of the procedure in identifying the degree and scale at which crashes cluster, or do not cluster, relative to each other. Moreover, for many individual crash types, different patterns and processes and potentially different countermeasures appeared at different scales of analysis. This finding highlights the importance of scale considerations in problem identification and countermeasure formulation.

BadiRate: Estimating Family Turnover Rates by Likelihood-Based Methods

Motivation: The comparative analysis of gene gain and loss rates is critical for understanding the role of natural selection and adaptation in shaping gene family sizes. Studying complete genome data from closely related species allows accurate estimation of gene family turnover rates. Current methods and software tools, however, are not well designed for dealing with certain kinds of functional elements, such as microRNAs or transcription factor binding sites. Results: Here, we describe BadiRate, a new software tool to estimate family turnover rates, as well as the number of elements in internal phylogenetic nodes, by likelihood-based methods and parsimony. It implements two stochastic population models, which provide the appropriate statistical framework for testing hypothesis, such as lineage-specific gene family expansions or contractions. We have assessed the accuracy of BadiRate by computer simulations, and have also illustrated its functionality by analyzing a representative empirical dataset.

BadiRate: estimating family turnover rates by likelihood-based methods

Motivation: The comparative analysis of gene gain and loss rates is critical for understanding the role of natural selection and adaptation in shaping gene family sizes. Studying complete genome data from closely related species allows accurate estimation of gene family turnover rates. Current methods and software tools, however, are not well designed for dealing with certain kinds of functional elements, such as microRNAs or transcription factor binding sites. Results: Here, we describe BadiRate, a new software tool to estimate family turnover rates, as well as the number of elements in internal phylogenetic nodes, by likelihood-based methods and parsimony. It implements two stochastic population models, which provide the appropriate statistical framework for testing hypothesis, such as lineage-specific gene family expansions or contractions. We have assessed the accuracy of BadiRate by computer simulations, and have also illustrated its functionality by analyzing a representative empirical dataset.

Kiinteistön investointi- ja elinkaarikustannusten hallinnan työkalut

Tämän työntavoitteena oli tutkia kiinteistöjen investointi- ja elinkaarikustannusten hallinnan tilannetta. Tavoitteeseen pääsemiseksi pyrin selvittämään, missä määrin rakennusala käyttää erilaisia ohjelmistoja, mitä nämä ohjelmistot ovat ja minkälaiset ovat mahdollisuudet kehittää tähän tarkoitukseen sopiva ohjelmistotyökalu. Teoriaosa koostuu kiinteistöliiketoimintaan liittyvistä peruskäsitteistäsekä laskentamenetelmistä. Empiirisessä osassa esitellään tutkimusmenetelmät jaanalysoidaan tulokset. Tutkimus toteutettiin käyttämällä kirjallista kyselyä sekä asiantuntijahaastatteluita. Kirjallinen kysely toimi runkona haastatteluille. Kyselyllä kartoitettiin olemassa olevien ohjelmistotyökalujen lukumäärä. Haastattelujen avulla pyrittiin saamaan selville, mitkä ohjelmistojen osiot ja ominaisuudet olisivat käyttäjän kannalta olennaisia. Tutkimuksen tärkeimpänä tuloksena voidaan pitää sitä, että olemassa olevien työkalujen lisäksi ei näyttänyt olevan juurikaan tarvetta kehittää uusia työkaluja kiinteistökustannusten hallintaan. Ohjelmistotyökaluja löydettiin kolmetoista, joista kaksitoista soveltui elinkaarikustannusten laskentaan. Sellaisia ohjelmatyökaluja, jotka olisivat vastanneet asiantuntijahaastateltavien tarpeita, ei löytynyt. Tutkimustulokset osoittavat kuitenkin selvästi, että kehitysmahdollisuudet ovat olemassa ja ongelmaon helposti ratkaistavissa yhdistelemällä eri ohjelmistojen ominaisuuksia.

Developing of the Variable Speed Drive -control in simulated parallel pumping systems

This thesis presents briefly the basic operation and use of centrifugal pumps and parallel pumping applications. The characteristics of parallel pumping applications are compared to circuitry, in order to search analogy between these technical fields. The purpose of studying circuitry is to find out if common software tools for solving circuit performance could be used to observe parallel pumping applications. The empirical part of the thesis introduces a simulation environment for parallel pumping systems, which is based on circuit components of Matlab Simulink —software. The created simulation environment ensures the observation of variable speed controlled parallel pumping systems in case of different controlling methods. The introduced simulation environment was evaluated by building a simulation model for actual parallel pumping system at Lappeenranta University of Technology. The simulated performance of the parallel pumps was compared to measured values of the actual system. The gathered information shows, that if the initial data of the system and pump perfonnance is adequate, the circuitry based simulation environment can be exploited to observe parallel pumping systems. The introduced simulation environment can represent the actual operation of parallel pumps in reasonably accuracy. There by the circuitry based simulation can be used as a researching tool to develop new controlling ways for parallel pumps.

The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases.

The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) provides world-class bioinformatics databases, software tools, services and training to the international life science community in academia and industry. These solutions allow life scientists to turn the exponentially growing amount of data into knowledge. Here, we provide an overview of SIB's resources and competence areas, with a strong focus on curated databases and SIB's most popular and widely used resources. In particular, SIB's Bioinformatics resource portal ExPASy features over 150 resources, including UniProtKB/Swiss-Prot, ENZYME, PROSITE, neXtProt, STRING, UniCarbKB, SugarBindDB, SwissRegulon, EPD, arrayMap, Bgee, SWISS-MODEL Repository, OMA, OrthoDB and other databases, which are briefly described in this article.

Disseny, layout i planificació d'una empresa de producció d'equips foraborda elèctrics

Aquest projecte es basa en l'aplicació de models de simulació de processos a un exemple d'empresa de producció i la seva adaptació en dimensió i recursos al mercat en un entorn de poca capacitat d'inversió i finançament, de forma que l'entorn de simulació digital aporti valor a la presa de decisions emmarcada en l'estratègia de l'empresa en cada escenari de mercat en que aquesta es trobi. Es realitza el treball sobre el cas d'una empresa, INNOVANAUTIC, dedicada a la innovació, desenvolupament i producció de sistemes de propulsió d'embarcacions. La simulació es una tècnica que permet optimitzar els processos, representant-ne i comprovant el funcionament dels processos, tant entorns físics, de producció com dels serveis associats o subcontractacions de diferents processos i els seus impactes en la disponibilitat de recursos, espais i terminis d'entrega, sense haver de recórrer a procediments de prova i error sobre sistemes reals que impliquen costos a tots nivells en l'empresa. Aquestes metodologies son habitualment emprades en d'altres països o també en el nostre país però en empreses de gran tamany. El present treball, emmarcat dins un entorn socioeconòmic convuls, amb grans limitacions financeres i de recursos per les empreses, demostra com la utilització d'eines de simulació és útil per a PIMES en aquest entorn i permet el dimensionament i la modelització dels processos de forma que es permeti trobar els punts òptims en els que l'empresa ha de donar un pas de creixement en alguns dels paràmetres. La metodologia amb que s'elabora el present treball es la de plantejar una simulació complerta del procés, i definir diversos escenaris de mercat per als productes fabricats, cercant els punt òptims de canvi de dimensió de l'empresa atenent a espai físic, sotscontractació de processos, personal i recursos.

Design and Implementation of MUPE Server Context Tool for Eclipse IDE

The development of software tools begun as the first computers were built. The current generation of development environments offers a common interface to access multiple software tools and often also provide a possibility to build custom tools as extensions to the existing development environment. Eclipse is an open source development environment that offers good starting point for developing custom extensions. This thesis presents a software tool to aid the development of context-aware applications on Multi-User Publishing Environment (MUPE) platform. The tool is implemented as an Eclipse plug-in. The tool allows developer to include external server side contexts to their MUPE applications. The tool allows additional context sources to be added through the Eclipse's extension point mechanism. The thesis describes how the tool was designed and implemented. The implementation consists of tool core component part and an additional context source extension part. Tool core component is responsible for the actual context addition and also provides the needed user interface elements to the Eclipse workbench. Context source component provides the needed context source related information to the core component. As part of the work an update site feature was also implemented for distributing the tool through Eclipse update mechanism.

Toimintaohjeiston laatiminen HSY:n jätehuollon elinkaarimallinnuspalveluiden hankkimiseksi

Elinkaariarviointi on menetelmä, missä tuotejärjestelmän aikaiset syötteet ja tuotteet koostetaan yhteen ja tuloksena saadaan sen ympäristökuormitus. Elinkaariarviointi on päätöksentekoa tukeva työkalu. Jätelain kokonaisuudistuksen myötä elinkaariarvioinnin käyttö tullee lisääntymään kuntavastuullisessa jätehuollossa. Helsingin seudun ympäristöpalvelut -kuntayhtymä HSY:n jätehuollon tavoitteena on rakentaa elinkaarimalli, jonka avulla voidaan selvittää koko toiminnan aiheuttama ympäristökuormitus ja taloudelliset vaikutukset. HSY:n jätehuolto on päättänyt toteuttaa elinkaarimallin rakentamisen konsulttityönä. Työn tavoitteena on ollut laatia toimintaohjeisto HSY:n jätehuollon elinkaarimallinnuspalveluiden hankkimiseksi. Elinkaarimalli voidaan tehdä kaupallista ohjelmistoa käyttämällä. Tähän selvitykseen on valittu arvioitavaksi kolme elinkaariarvioinnin työkalua: EASEWASTE, WRATE ja GaBi 4.4. Ohjelmistojen ominaisuuksia on arvioitu kirjallisuuden ja haastattelun perusteella. Työssä on laadittu kriteeristö näiden ohjelmistojen arviointiin. Kirjallisuuden perusteella on selvitetty elinkaariarvioinnin soveltamiskohteet kuntavastuullisessa jätehuollossa. HSY:n jätehuollon elinkaariarvioinnin soveltamiskohteet ja mallinnustarpeet on tunnistettu haastattelemalla HSY:n jätehuollon asiantuntijoita. HSY:n jätehuollolle rakennettavan mallin päivittämistä, käyttöä ja kehittämistä tulisi hallita HSY:n jätehuollon toimesta. Kaikki työssä arvioidut ohjelmistot soveltuvat HSY:n jätehuollon tunnistamien mallinnustarpeiden laskentaan. Elinkaarimallinnuspalveluiden toimintaohjeistolla pyritään varmistamaan HSY:n jätehuollon tarpeisiin soveltuvan mallin hankinta ja jatkotoimenpiteiden suunnittelu.

Methodological approaches to planar and volumetric scintigraphic imaging of small volume targets with high spatial resolution and sensitivity

Single-photon emission computed tomography (SPECT) is a non-invasive imaging technique, which provides information reporting the functional states of tissues. SPECT imaging has been used as a diagnostic tool in several human disorders and can be used in animal models of diseases for physiopathological, genomic and drug discovery studies. However, most of the experimental models used in research involve rodents, which are at least one order of magnitude smaller in linear dimensions than man. Consequently, images of targets obtained with conventional gamma-cameras and collimators have poor spatial resolution and statistical quality. We review the methodological approaches developed in recent years in order to obtain images of small targets with good spatial resolution and sensitivity. Multipinhole, coded mask- and slit-based collimators are presented as alternative approaches to improve image quality. In combination with appropriate decoding algorithms, these collimators permit a significant reduction of the time needed to register the projections used to make 3-D representations of the volumetric distribution of target’s radiotracers. Simultaneously, they can be used to minimize artifacts and blurring arising when single pinhole collimators are used. Representation images are presented, which illustrate the use of these collimators. We also comment on the use of coded masks to attain tomographic resolution with a single projection, as discussed by some investigators since their introduction to obtain near-field images. We conclude this review by showing that the use of appropriate hardware and software tools adapted to conventional gamma-cameras can be of great help in obtaining relevant functional information in experiments using small animals.

Current State of Ontology Matching. A Survey of Ontology and Schema Matching

Ontology matching is an important task when data from multiple data sources is integrated. Problems of ontology matching have been studied widely in the researchliterature and many different solutions and approaches have been proposed alsoin commercial software tools. In this survey, well-known approaches of ontologymatching, and its subtype schema matching, are reviewed and compared. The aimof this report is to summarize the knowledge about the state-of-the-art solutionsfrom the research literature, discuss how the methods work on different application domains, and analyze pros and cons of different open source and academic tools inthe commercial world.