Social Media Integration in Video Games GameNshare: A Social Overlay for Desktop Games

The ever increasing popularity of social media makes it a promising source for the personalization of gameplay experiences. Furthermore, involving social network friends in a game can greatly enrich the satisfaction of the player and also attract potential novel players to a game. This master thesis describes a social overlay designed for desktop games, called GameNshare. It allows players to easily capture and share with multiple social networks game-related screenshots, videos and stories. Additionally, it also provides asynchronous multiplayer game mechanics to directly integrate social network friends in the game. GameNshare was designed to interact with the users in a non-intrusive way allowing them to be in complete control of what is shared. It prevents unsolicited sharing of messages, a key problem in social media integration tools, by the use of built-in message monitoring and anti-spam measures. GameNshare was specially designed for players aged from 18 to 25 years that are regular users of Twitter and Facebook. It was tested by a group of 10 individuals from the target age range that were surveyed to capture their insights on the use of the social overlay. The implemented GameNshare features were well accepted by the testers that were also useful in highlighting features for future development. GameNshare ultimate goal is to make players look and ask for social integration and allow them to take full advantage of their social communities to improve gaming experiences.

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

UAV - based imagery processing using structure from motion and remote sensing technology

With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.

Improving quality of medical service with mobile health software

An increasing number of m-Health applications are being developed benefiting health service delivery. In this paper, a new methodology based on the principle of calm computing applied to diagnostic and therapeutic procedure reporting is proposed. A mobile application was designed for the physicians of one of the Portuguese major hospitals, which takes advantage of a multi-agent interoperability platform, the Agency for the Integration, Diffusion and Archive (AIDA). This application allows the visualization of inpatients and outpatients medical reports in a quicker and safer manner, in addition to offer a remote access to information. This project shows the advantages in the use of mobile software in a medical environment but the first step is always to build or use an interoperability platform, flexible, adaptable and pervasive. The platform offers a comprehensive set of services that restricts the development of mobile software almost exclusively to the mobile user interface design. The technology was tested and assessed in a real context by intensivists.

Software de gestión para una instalación deportiva

En el presente proyecto se ha desarrollado una aplicación para gestionar una instalación deportiva. Esta aplicación ha sido elaborada siguiendo el ciclo de vida en cascada. El software obtenido es de tipo cliente/servidor y ha sido realizado con la tecnología orientada a objetos utilizando Java como lenguaje de programación, RMI como mecanismo para acceder a las operaciones del sistema de forma remota, y proporcionando a los usuarios una interfaz muy clara y amigable.

Paint on whiteboard desktop

Es un proyecto para la creación de una herramienta aplicable al uso de pizarras digitales. Pintar sobre el escritorio o aplicaciones abiertas.

Implementació de software de gestió

Disseny de software de gestió per a una empresa d'aparells elevadors.

Remote File Access with Wireless Symbian Devices

Erilaisten langattomien päätelaitteiden kuten älypuhelimien ja kommunikaattoreiden määrän lisääntyessä myös kiinnostus liikkuville käyttäjille lisäarvoa tuottavia verkkopalveluita ja -sovelluksia kohtaan kasvaa. Työn tarkoituksena oli tutkia kuinka langattomat Symbianin käyttöjärjestelmää käyttävät laitteet voivat hyödyntää verkkotiedostoja. Työssä arvioitiin eri tiedostojenjakoprotokollien käytettävyyttä langattomissa verkoissa, määriteltiin etätiedostoyhteyden Symbian-alustalle tarjoavan ohjelmiston vaatimukset ja tehtiin alustava suunnitelma ohjelmiston toteuttamiseksi. Läpinäkyvä tiedostojen etäkäyttö vaatii tiedostojenjakoprotokollan toteuttamista sovelluksille yhteisen tiedostosaantimekanismin alle. Tiedostojen etäkäyttö voi perustua eri tiedostojenjakoprotokolliin kuten IP:n päällä toimiviin NFS:ään tai CIFS:ään. Langattomuuden aiheuttamat rajoitukset laitteissa ja tiedonsiirrossa saattavat vähentää sovellutuksen käytettävyyttä ja on huomioitava ohjelmistoa toteutettaessa. Symbian-alusta perustuu asiakas-palvelin arkkitehtuuriin, jossa asiakassovellukset käyttävät tiedostopalveluita yhteisen tiedostopalvelimen kautta. Etätiedostoyhteys on mahdollista toteuttaa liittämällä uusi kirjastomoduuli tiedostopalvelimeen. Protokollan toteuttavan moduulin on muunnettava protokollan viestit tiedostopalvelimelle sopiviksi huolehtien samalla muista samanaikaisista tiedostotapahtumista. Suunniteltu moduulin arkkitehtuuri mahdollistaa eri protokollavaihtoehtojen käyttämisen etätiedostoyhteyden toteuttamiseen.

From Regional Landslide Detection to Site-Specific Slope Deformation Monitoring and Modelling Based on Active Remote Sensors

Landslide processes can have direct and indirect consequences affecting human lives and activities. In order to improve landslide risk management procedures, this PhD thesis aims to investigate capabilities of active LiDAR and RaDAR sensors for landslides detection and characterization at regional scales, spatial risk assessment over large areas and slope instabilities monitoring and modelling at site-specific scales. At regional scales, we first demonstrated recent boat-based mobile LiDAR capabilities to model topography of the Normand coastal cliffs. By comparing annual acquisitions, we validated as well our approach to detect surface changes and thus map rock collapses, landslides and toe erosions affecting the shoreline at a county scale. Then, we applied a spaceborne InSAR approach to detect large slope instabilities in Argentina. Based on both phase and amplitude RaDAR signals, we extracted decisive information to detect, characterize and monitor two unknown extremely slow landslides, and to quantify water level variations of an involved close dam reservoir. Finally, advanced investigations on fragmental rockfall risk assessment were conducted along roads of the Val de Bagnes, by improving approaches of the Slope Angle Distribution and the FlowR software. Therefore, both rock-mass-failure susceptibilities and relative frequencies of block propagations were assessed and rockfall hazard and risk maps could be established at the valley scale. At slope-specific scales, in the Swiss Alps, we first integrated ground-based InSAR and terrestrial LiDAR acquisitions to map, monitor and model the Perraire rock slope deformation. By interpreting both methods individually and originally integrated as well, we therefore delimited the rockslide borders, computed volumes and highlighted non-uniform translational displacements along a wedge failure surface. Finally, we studied specific requirements and practical issues experimented on early warning systems of some of the most studied landslides worldwide. As a result, we highlighted valuable key recommendations to design new reliable systems; in addition, we also underlined conceptual issues that must be solved to improve current procedures. To sum up, the diversity of experimented situations brought an extensive experience that revealed the potential and limitations of both methods and highlighted as well the necessity of their complementary and integrated uses.

Desarrollo de mejoras y nuevas funcionalidades a eXeLearning.net y colaboración con la comunidad de software libre exelearning.net

En este TFM se detallan las mejoras realizadas a la aplicación eXeLearning.net, así como otras aportaciones a la comunidad realizadas durante el proyecto de fin de máster de Software libre. eXeLearning.net es una aplicación de software libre para la creación de materiales educativos digitales, desarrollada en Python, con una interfaz web (HTML + JavaScript). En este proyecto se desarrollaron entre otras cosas: un repositorio de estilos en la web oficial de la aplicación, disponibles para su descarga desde la aplicación de escritorio, la creación y mantenimiento de un repositorio en Launchpad y una funcionalidad para publicar los contenidos creados con eXeLearning.net directamente en Google Drive.

CHEMOSTAT, UM SOFTWARE GRATUITO PARA ANÁLISE EXPLORATÓRIA DE DADOS MULTIVARIADOS

The objective of this work was to develop a free access exploratory data analysis software application for academic use that is easy to install and can be handled without user-level programming due to extensive use of chemometrics and its association with applications that require purchased licenses or routines. The developed software, called Chemostat, employs Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), intervals Principal Component Analysis (iPCA), as well as correction methods, data transformation and outlier detection. The data can be imported from the clipboard, text files, ASCII or FT-IR Perkin-Elmer “.sp” files. It generates a variety of charts and tables that allow the analysis of results that can be exported in several formats. The main features of the software were tested using midinfrared and near-infrared spectra in vegetable oils and digital images obtained from different types of commercial diesel. In order to validate the software results, the same sets of data were analyzed using Matlab© and the results in both applications matched in various combinations. In addition to the desktop version, the reuse of algorithms allowed an online version to be provided that offers a unique experience on the web. Both applications are available in English.

Energy aware software for many-core systems

Many-core systems provide a great potential in application performance with the massively parallel structure. Such systems are currently being integrated into most parts of daily life from high-end server farms to desktop systems, laptops and mobile devices. Yet, these systems are facing increasing challenges such as high temperature causing physical damage, high electrical bills both for servers and individual users, unpleasant noise levels due to active cooling and unrealistic battery drainage in mobile devices; factors caused directly by poor energy efficiency. Power management has traditionally been an area of research providing hardware solutions or runtime power management in the operating system in form of frequency governors. Energy awareness in application software is currently non-existent. This means that applications are not involved in the power management decisions, nor does any interface between the applications and the runtime system to provide such facilities exist. Power management in the operating system is therefore performed purely based on indirect implications of software execution, usually referred to as the workload. It often results in over-allocation of resources, hence power waste. This thesis discusses power management strategies in many-core systems in the form of increasing application software awareness of energy efficiency. The presented approach allows meta-data descriptions in the applications and is manifested in two design recommendations: 1) Energy-aware mapping 2) Energy-aware execution which allow the applications to directly influence the power management decisions. The recommendations eliminate over-allocation of resources and increase the energy efficiency of the computing system. Both recommendations are fully supported in a provided interface in combination with a novel power management runtime system called Bricktop. The work presented in this thesis allows both new- and legacy software to execute with the most energy efficient mapping on a many-core CPU and with the most energy efficient performance level. A set of case study examples demonstrate realworld energy savings in a wide range of applications without performance degradation.

Using GPS, GIS & remote sensing to understand Niagara Terroir : Pinot noir in the Four Mile Creek & St. David's Bench sub-appellations

The relationships between vine water status, soil texture, and vine size were observed in four Niagara, Ontario Pinot noir vineyards in 2008 and 2009. The vineyards were divided into water status zones using geographic information systems (GIS) software to map the seasonal mean midday leaf water potential (,P), and dormant pruning shoot weights following the 2008 season. Fruit was harvested from all sentinel vines, bulked by water status zones and made into wine. Sensory analysis included a multidimensional sorting (MDS) task and descriptive analysis (DA) of the 2008 wines. Airborne multispectral images, with a spatial resolution of 38 cm, were captured four times in 2008 and three times in 2009, with the final flights around veraison. A semi-automatic process was developed to extract NDVI from the images, and a masking procedure was identified to create a vine-only NDVI image. 2008 and 2009 were cooler and wetter than mean years, and the range of water status zones was narrow. Yield per vine, vine size, anthocyanins and phenols were the least consistent variables. Divided by water status or vine size, there were no variables with differences between zones in all four vineyards in either year. Wines were not different between water status zones in any chemical analysis, and HPLC revealed that there were no differences in individual anthocyanins or phenolic compounds between water status zones within the vineyard sites. There were some notable correlations between vineyard and grape composition variables, and spatial trends were observed to be qualitatively related for many of the variables. The MDS task revealed that wines from each vineyard were more affected by random fermentation effects than water status effects. This was confirmed by the DA; there were no differences between wines from the water status zones within vineyard sites for any attribute. Remotely sensed NDVI (normalized difference vegetation index) correlated reasonably well with a number of grape composition variables, as well as soil type. Resampling to a lower spatial resolution did not appreciably affect the strength of correlations, and corresponded to the information contained in the masked images, while maintaining the range of values of NDVI. This study showed that in cool climates, there is the potential for using precision viticulture techniques to understand the variability in vineyards, but the variable weather presents a challenge for understanding the driving forces of that variability.

Imagery, Technology, and Remote Adult Aboriginal Teacher Candidates: A Brock University Pilot Project

The aim of this thesis is to explore the relationship between imagery, technology, and remote adult Aboriginal teacher candidates through the computer software Elluminate Live. It focuses on the implications that the role imagery plays in third generation distance education with these learners and the new media associated therein. The thesis honours the Medicine Wheel teachings and is presented within this cyclical framework that reflects Indigenous philosophies and belief systems. In accordance, Sharing Circle as methodology is used to keep the research culturally grounded, and tenets of narrative inquiry further support the study. Results indicate there are strong connections to curricula enhanced with imagery—most notably a spiritual connection. Findings also reveal that identity associated to geographical location is significant, as are supportive networks. Third generation distance education, such as Elluminate Live, needs to be addressed before Aboriginal communities open the doors to all it encompasses, and although previous literature peers into various elements, this study delves into why the graphical interface resonates with members of these communities. Of utmost importance is the insight this thesis lends to the pedagogy that may possibly evoke a transformative learning process contributing to the success rate of Aboriginal learners and benefit Aboriginal communities as a whole.

libLocation: acceso a dispositivos de localización para gvSIG Desktop y Mobile

Inicialmente integrada en el piloto de gvSIG Mobile, la librería libLocation tiene como objetivo dotar a los proyectos gvSIG Desktop y gvSIG Mobile un acceso transparente a fuentes de localización. La librería se fundamenta en las especificaciones JSR-179 -API de localización para J2ME- y JSR-293 -API de localización para J2ME v2.0-, proporcionando una interfaz uniforme a diferentes fuentes de localización, mediante funciones de alto nivel. Asimismo, se extiende la funcionalidad de estas APIs para permitir la gestión de datos específicos del tipo de fuente de localización y el ajuste de parámetros de bajo nivel, además de incorporar métodos de localización adicionales, como la aplicación de correcciones vía protocolo NTRIP. La librería libLocation está actualmente en proceso de desarrollo y será publicada y liberada junto con la versión definitiva de gvSIG Mobile. Junto con libLocation se están desarrollando extensiones que permiten el acceso a esta librería desde gvSIG Desktop y gvSIG Mobile