Diseño y desarrollo de un videojuego en 3D basado en la defensa de una plataforma, haciendo énfasis en el estudio de controles para pantalla táctil de los dispositivos móviles

[ES] El siguiente trabajo de fin de grado consiste en el análisis, desarrollo e implementación de una pequeña parte de un  videojuego, que tiene como título Darkest Nights, que se basa en la defensa de una plataforma, haciendo uso del motor gráfico Unity 3D. Con este trabajo se pretenden analizar los distintos componentes que influyen en el proceso de desarrollo e implementación del mismo, haciendo uso de distintas herramientas como, el canvas gamificado o una ficha de concepto que nos permitan definir y establecer un conjunto de características que nos servirán como punto de partida, desde el cual podremos identificar desde una temprana fase las partes más importantes y que requerirán más atención del videojuego. Dentro de este proyecto también se pretende realizar la implementación de distintos tipos de controles de un jugador en un entorno 3D, el jugador debe realizar distintas acciones como moverse, esquivar y atacar a sus enemigos para defender con éxito una plataforma. Estos controles se implementaran con la finalidad de analizar y evaluar su viabilidad en las pantallas táctiles de los dispositivos móviles. En concreto se realiza la implementación y explicación de 4 tipos distintos de controles donde se comentan sus  ventajas, desventajas y las sensaciones que causaban en los jugadores, llevándonos a sacar conclusiones que nos permitían mejorar las siguientes implementaciones.  Además se explica con detalle la generación de personajes y enemigos en 3D con sus respectivas animaciones, explicando los distintos componentes necesarios para su implementación, al igual que la lógica básica necesaria para que sigan un determinado comportamiento.

Data cloud through google cloud storage

Il Cloud Storage è un modello di conservazione dati su computer in rete, dove i dati stessi sono memorizzati su molteplici server, reali e/o virtuali, generalmente ospitati presso strutture di terze parti o su server dedicati. Tramite questo modello è possibile accedere alle informazioni personali o aziendali, siano essi video, fotografie, musica, database o file in maniera “smaterializzata”, senza conoscere l’ubicazione fisica dei dati, da qualsiasi parte del mondo, con un qualsiasi dispositivo adeguato. I vantaggi di questa metodologia sono molteplici: infinita capacita’ di spazio di memoria, pagamento solo dell’effettiva quantità di memoria utilizzata, file accessibili da qualunque parte del mondo, manutenzione estremamente ridotta e maggiore sicurezza in quanto i file sono protetti da furto, fuoco o danni che potrebbero avvenire su computer locali. Google Cloud Storage cade in questa categoria: è un servizio per sviluppatori fornito da Google che permette di salvare e manipolare dati direttamente sull’infrastruttura di Google. In maggior dettaglio, Google Cloud Storage fornisce un’interfaccia di programmazione che fa uso di semplici richieste HTTP per eseguire operazioni sulla propria infrastruttura. Esempi di operazioni ammissibili sono: upload di un file, download di un file, eliminazione di un file, ottenere la lista dei file oppure la dimensione di un dato file. Ogniuna di queste richieste HTTP incapsula l’informazione sul metodo utilizzato (il tipo di richista, come GET, PUT, ...) e un’informazione di “portata” (la risorsa su cui effettuare la richiesta). Ne segue che diventa possibile la creazione di un’applicazione che, facendo uso di queste richieste HTTP, fornisce un servizio di Cloud Storage (in cui le applicazioni salvano dati in remoto generalmene attraverso dei server di terze parti). In questa tesi, dopo aver analizzato tutti i dettagli del servizio Google Cloud Storage, è stata implementata un’applicazione, chiamata iHD, che fa uso di quest’ultimo servizio per salvare, manipolare e condividere dati in remoto (nel “cloud”). Operazioni comuni di questa applicazione permettono di condividere cartelle tra più utenti iscritti al servizio, eseguire operazioni di upload e download di file, eliminare cartelle o file ed infine creare cartelle. L’esigenza di un’appliazione di questo tipo è nata da un forte incremento, sul merato della telefonia mobile, di dispositivi con tecnologie e con funzioni sempre più legate ad Internet ed alla connettività che esso offre. La tesi presenta anche una descrizione delle fasi di progettazione e implementazione riguardanti l’applicazione iHD. Nella fase di progettazione si sono analizzati tutti i requisiti funzionali e non funzionali dell’applicazione ed infine tutti i moduli da cui è composta quest’ultima. Infine, per quanto riguarda la fase di implementazione, la tesi presenta tutte le classi ed i rispettivi metodi presenti per ogni modulo, ed in alcuni casi anche come queste classi sono state effettivamente implementate nel linguaggio di programmazione utilizzato.

Metodi di ottimizzazione morfologica nel progetto preliminare di propulsori aeronautici avanzati

The aim of this Doctoral Thesis is to develop a genetic algorithm based optimization methods to find the best conceptual design architecture of an aero-piston-engine, for given design specifications. Nowadays, the conceptual design of turbine airplanes starts with the aircraft specifications, then the most suited turbofan or turbo propeller for the specific application is chosen. In the aeronautical piston engines field, which has been dormant for several decades, as interest shifted towards turboaircraft, new materials with increased performance and properties have opened new possibilities for development. Moreover, the engine’s modularity given by the cylinder unit, makes it possible to design a specific engine for a given application. In many real engineering problems the amount of design variables may be very high, characterized by several non-linearities needed to describe the behaviour of the phenomena. In this case the objective function has many local extremes, but the designer is usually interested in the global one. The stochastic and the evolutionary optimization techniques, such as the genetic algorithms method, may offer reliable solutions to the design problems, within acceptable computational time. The optimization algorithm developed here can be employed in the first phase of the preliminary project of an aeronautical piston engine design. It’s a mono-objective genetic algorithm, which, starting from the given design specifications, finds the engine propulsive system configuration which possesses minimum mass while satisfying the geometrical, structural and performance constraints. The algorithm reads the project specifications as input data, namely the maximum values of crankshaft and propeller shaft speed and the maximal pressure value in the combustion chamber. The design variables bounds, that describe the solution domain from the geometrical point of view, are introduced too. In the Matlab® Optimization environment the objective function to be minimized is defined as the sum of the masses of the engine propulsive components. Each individual that is generated by the genetic algorithm is the assembly of the flywheel, the vibration damper and so many pistons, connecting rods, cranks, as the number of the cylinders. The fitness is evaluated for each individual of the population, then the rules of the genetic operators are applied, such as reproduction, mutation, selection, crossover. In the reproduction step the elitist method is applied, in order to save the fittest individuals from a contingent mutation and recombination disruption, making it undamaged survive until the next generation. Finally, as the best individual is found, the optimal dimensions values of the components are saved to an Excel® file, in order to build a CAD-automatic-3D-model for each component of the propulsive system, having a direct pre-visualization of the final product, still in the engine’s preliminary project design phase. With the purpose of showing the performance of the algorithm and validating this optimization method, an actual engine is taken, as a case study: it’s the 1900 JTD Fiat Avio, 4 cylinders, 4T, Diesel. Many verifications are made on the mechanical components of the engine, in order to test their feasibility and to decide their survival through generations. A system of inequalities is used to describe the non-linear relations between the design variables, and is used for components checking for static and dynamic loads configurations. The design variables geometrical boundaries are taken from actual engines data and similar design cases. Among the many simulations run for algorithm testing, twelve of them have been chosen as representative of the distribution of the individuals. Then, as an example, for each simulation, the corresponding 3D models of the crankshaft and the connecting rod, have been automatically built. In spite of morphological differences among the component the mass is almost the same. The results show a significant mass reduction (almost 20% for the crankshaft) in comparison to the original configuration, and an acceptable robustness of the method have been shown. The algorithm here developed is shown to be a valid method for an aeronautical-piston-engine preliminary project design optimization. In particular the procedure is able to analyze quite a wide range of design solutions, rejecting the ones that cannot fulfill the feasibility design specifications. This optimization algorithm could increase the aeronautical-piston-engine development, speeding up the production rate and joining modern computation performances and technological awareness to the long lasting traditional design experiences.

Darstellung der Grenze zwischen dem rechten und linken Leberlappen mit 3D-Rekonstruktionen von Spiral-Computertomographien

Zusammenfassung:Hintergrund/Ziel: Die Beschreibung der funktionellen Einteilung der Leber basiert auf dem Schema von Claude de Couinaud. Die Grenze zwischen der rechten und linken Leberhälfte scheint leicht durch die Lage der mittleren Lebervene lokalisierbar. Nach der gängigen Meinung wird diese Grenze nicht durch die Trias aus Pfortader, Arterie und Gallengang überschritten. Es soll untersucht werden, ob die Lage dieser gefäßarmen Zone zwischen den Pfortaderästen benachbarter Segmente von der Lage der Grenzebene durch die mittlere Lebervene abweicht.Methode: Bei 73 Patienten wurden im Rahmen der normalen präoperativen Diagnostik dreiphasige Spiral-CT Untersuchungen durchgeführt. Aus diesen Daten wurden dreidimensionale Rekonstruktionen erzeugt und ausgewertet. Ergebnisse: In der vorliegenden Untersuchung konnte gezeigt werden, dass die mittlere Sektorengrenze unterschiedliche Positionen einnimmt, je nach welchem Gefäßsystem sie bestimmt wird. Die mittlere Sektorengrenze zeigt hierbei einen Unterschied in ihrer Lage von 14,2° im Median. An der ventralen Leberoberfläche liegt die Grenzebene nach der mittleren Lebervene damit rechts lateral der gefäßarmen Zone zwischen den Pfortaderästen.Schlussfolgerung: Der Unterschied der Grenzebenen ist in dreidimensionalen Rekonstruktionen demonstrierbar und findet Anwendung bei der Segmentzuordnung von Läsionen. Diese Rekonstruktionen erleichtern die interdisziplinäre Kommunikation und erlauben eine vereinfachte und möglicherweise präzisere Operationsplanung.

Finite-element discretization of 3D energy-transport equations for semiconductors

In this thesis a mathematical model was derived that describes the charge and energy transport in semiconductor devices like transistors. Moreover, numerical simulations of these physical processes are performed. In order to accomplish this, methods of theoretical physics, functional analysis, numerical mathematics and computer programming are applied. After an introduction to the status quo of semiconductor device simulation methods and a brief review of historical facts up to now, the attention is shifted to the construction of a model, which serves as the basis of the subsequent derivations in the thesis. Thereby the starting point is an important equation of the theory of dilute gases. From this equation the model equations are derived and specified by means of a series expansion method. This is done in a multi-stage derivation process, which is mainly taken from a scientific paper and which does not constitute the focus of this thesis. In the following phase we specify the mathematical setting and make precise the model assumptions. Thereby we make use of methods of functional analysis. Since the equations we deal with are coupled, we are concerned with a nonstandard problem. In contrary, the theory of scalar elliptic equations is established meanwhile. Subsequently, we are preoccupied with the numerical discretization of the equations. A special finite-element method is used for the discretization. This special approach has to be done in order to make the numerical results appropriate for practical application. By a series of transformations from the discrete model we derive a system of algebraic equations that are eligible for numerical evaluation. Using self-made computer programs we solve the equations to get approximate solutions. These programs are based on new and specialized iteration procedures that are developed and thoroughly tested within the frame of this research work. Due to their importance and their novel status, they are explained and demonstrated in detail. We compare these new iterations with a standard method that is complemented by a feature to fit in the current context. A further innovation is the computation of solutions in three-dimensional domains, which are still rare. Special attention is paid to applicability of the 3D simulation tools. The programs are designed to have justifiable working complexity. The simulation results of some models of contemporary semiconductor devices are shown and detailed comments on the results are given. Eventually, we make a prospect on future development and enhancements of the models and of the algorithms that we used.

The twofold role of Cloud Computing in Digital Forensics: target of investigations and helping hand to evidence analysis

This PhD thesis discusses the impact of Cloud Computing infrastructures on Digital Forensics in the twofold role of target of investigations and as a helping hand to investigators. The Cloud offers a cheap and almost limitless computing power and storage space for data which can be leveraged to commit either new or old crimes and host related traces. Conversely, the Cloud can help forensic examiners to find clues better and earlier than traditional analysis applications, thanks to its dramatically improved evidence processing capabilities. In both cases, a new arsenal of software tools needs to be made available. The development of this novel weaponry and its technical and legal implications from the point of view of repeatability of technical assessments is discussed throughout the following pages and constitutes the unprecedented contribution of this work

Tecniche di elaborazione di immagini tomografiche con raggi X finalizzate alla creazione di modelli virtuali 3D

In questo elaborato sono state messe a confronto differenti procedure per la creazione di file in formato STL a partire da dati tomografici. Questo tipo di formato di dati è attualmente molto richiesto in quanto è adottato dalle stampanti 3D. I tre software presi in analisi, nello specifico, sono: DEVIDE, un programma open source, compatibile sia con Windows che con Linux, sviluppato presso la Delft University of Technology, nei Paesi Bassi; Imagej, un programma informatico di elaborazione digitale delle immagini, accessibile a tutti, basato su Sun-Java e sviluppato dal National Institutes of Health negli Stati Uniti; e infine VGStudioMax, un software sviluppato in Germania dalla VolumeGraphics GmbH. Un confronto diretto di questi software ha portato ad evidenziare i pregi ed i difetti d’ognuno di questi programmi, prendendo come criteri svariati fattori, tra cui la possibilità di scelta di uno o più soglie per i livelli di grigio, la velocità di esecuzione, il fatto che sia open-source o meno, ecc. I risultati ottenuti tramite l’utilizzo di slice filtrate riguardanti una Cera Anatomica e un Feticcio Africano, sono stati molto soddisfacenti, in quanto hanno permesso la realizzazione di modelli virtuali 3D di entrambi i reperti nel formato richiesto.

FS.js, una libreria file system per Node.js e HTML5

La tesi illustra le funzionalita e l'architettura di Node.js elencando e analizzando le caratteristiche che lo rendono un framework vincente nella sfida che il web attuale pone. La tesi comprende l'analisi e la descrizione del lavoro svolto per creare una libreria HTTP/ File system, integrata nel sistema di sviluppo cloud proprietario: Instant Developer , funzionante sia su Node.JS che sui browser che supportano appieno le nuove API File system di HTML 5. Particolare attenzione viene riservata per la descrizione della struttura della libreria, pensata per permettere all'utente dell'IDE di utilizzarla indifferentemente su server/browser senza preoccuparsi di chiamare metodi diversi. Fs.js permette di operare con file/cartelle, richieste HTTP in modo semplificato rispetto alle API Ufficiali dei rispettivi ambienti.

Tomographic 3D reconstruction through linear inversion for breast microwave imaging

In the present thesis we address the problem of detecting and localizing a small spherical target with characteristic electrical properties inside a volume of cylindrical shape, representing female breast, with MWI. One of the main works of this project is to properly extend the existing linear inversion algorithm from planar slice to volume reconstruction; results obtained, under the same conditions and experimental setup are reported for the two different approaches. Preliminar comparison and performance analysis of the reconstruction algorithms is performed via numerical simulations in a software-created environment: a single dipole antenna is used for illuminating the virtual breast phantom from different positions and, for each position, the corresponding scattered field value is registered. Collected data are then exploited in order to reconstruct the investigation domain, along with the scatterer position, in the form of image called pseudospectrum. During this process the tumor is modeled as a dielectric sphere of small radius and, for electromagnetic scattering purposes, it's treated as a point-like source. To improve the performance of reconstruction technique, we repeat the acquisition for a number of frequencies in a given range: the different pseudospectra, reconstructed from single frequency data, are incoherently combined with MUltiple SIgnal Classification (MUSIC) method which returns an overall enhanced image. We exploit multi-frequency approach to test the performance of 3D linear inversion reconstruction algorithm while varying the source position inside the phantom and the height of antenna plane. Analysis results and reconstructed images are then reported. Finally, we perform 3D reconstruction from experimental data gathered with the acquisition system in the microwave laboratory at DIFA, University of Bologna for a recently developed breast-phantom prototype; obtained pseudospectrum and performance analysis for the real model are reported.

Self-assembly of focal point oligo-catechol ethylene glycol dendrons on titanium oxide surfaces: adsorption kinetics, surface characterization, and nonfouling properties

This work covers the synthesis of second-generation, ethylene glycol dendrons covalently linked to a surface anchor that contains two, three, or four catechol groups, the molecular assembly in aqueous buffer on titanium oxide surfaces, and the evaluation of the resistance of the monomolecular adlayers against nonspecific protein adsorption in contact with full blood serum. The results were compared to those of a linear poly(ethylene glycol) (PEG) analogue with the same molecular weight. The adsorption kinetics as well as resulting surface coverages were monitored by ex situ spectroscopic ellipsometry (VASE), in situ optical waveguide lightmode spectroscopy (OWLS), and quartz crystal microbalance with dissipation (QCM-D) investigations. The expected compositions of the macromolecular films were verified by X-ray photoelectron spectroscopy (XPS). The results of the adsorption study, performed in a high ionic strength ("cloud-point") buffer at room temperature, demonstrate that the adsorption kinetics increase with increasing number of catechol binding moieties and exceed the values found for the linear PEG analogue. This is attributed to the comparatively smaller and more confined molecular volume of the dendritic macromolecules in solution, the improved presentation of the catechol anchor, and/or their much lower cloud-point in the chosen buffer (close to room temperature). Interestingly, in terms of mechanistic aspects of "nonfouling" surface properties, the dendron films were found to be much stiffer and considerably less hydrated in comparison to the linear PEG brush surface, closer in their physicochemical properties to oligo(ethylene glycol) alkanethiol self-assembled monolayers than to conventional brush surfaces. Despite these differences, both types of polymer architectures at saturation coverage proved to be highly resistant toward protein adsorption. Although associated with higher synthesis costs, dendritic macromolecules are considered to be an attractive alternative to linear polymers for surface (bio)functionalization in view of their spontaneous formation of ultrathin, confluent, and nonfouling monolayers at room temperature and their outstanding ability to present functional ligands (coupled to the termini of the dendritic structure) at high surface densities.

Accurate and robust reconstruction of proximal femur from sparse intraoperative data and dense point distribution model for surgical navigation

Constructing a 3D surface model from sparse-point data is a nontrivial task. Here, we report an accurate and robust approach for reconstructing a surface model of the proximal femur from sparse-point data and a dense-point distribution model (DPDM). The problem is formulated as a three-stage optimal estimation process. The first stage, affine registration, is to iteratively estimate a scale and a rigid transformation between the mean surface model of the DPDM and the sparse input points. The estimation results of the first stage are used to establish point correspondences for the second stage, statistical instantiation, which stably instantiates a surface model from the DPDM using a statistical approach. This surface model is then fed to the third stage, kernel-based deformation, which further refines the surface model. Handling outliers is achieved by consistently employing the least trimmed squares (LTS) approach with a roughly estimated outlier rate in all three stages. If an optimal value of the outlier rate is preferred, we propose a hypothesis testing procedure to automatically estimate it. We present here our validations using four experiments, which include 1 leave-one-out experiment, 2 experiment on evaluating the present approach for handling pathology, 3 experiment on evaluating the present approach for handling outliers, and 4 experiment on reconstructing surface models of seven dry cadaver femurs using clinically relevant data without noise and with noise added. Our validation results demonstrate the robust performance of the present approach in handling outliers, pathology, and noise. An average 95-percentile error of 1.7-2.3 mm was found when the present approach was used to reconstruct surface models of the cadaver femurs from sparse-point data with noise added.

Fitting 3D morphable models using implicit representations

We consider the problem of approximating the 3D scan of a real object through an affine combination of examples. Common approaches depend either on the explicit estimation of point-to-point correspondences or on 2-dimensional projections of the target mesh; both present drawbacks. We follow an approach similar to [IF03] by representing the target via an implicit function, whose values at the vertices of the approximation are used to define a robust cost function. The problem is approached in two steps, by approximating first a coarse implicit representation of the whole target, and then finer, local ones; the local approximations are then merged together with a Poisson-based method. We report the results of applying our method on a subset of 3D scans from the Face Recognition Grand Challenge v.1.0.

Algorithms For Automatic And Robust Registration Of 3D Head Scans

wo methods for registering laser-scans of human heads and transforming them to a new semantically consistent topology defined by a user-provided template mesh are described. Both algorithms are stated within the Iterative Closest Point framework. The first method is based on finding landmark correspondences by iteratively registering the vicinity of a landmark with a re-weighted error function. Thin-plate spline interpolation is then used to deform the template mesh and finally the scan is resampled in the topology of the deformed template. The second algorithm employs a morphable shape model, which can be computed from a database of laser-scans using the first algorithm. It directly optimizes pose and shape of the morphable model. The use of the algorithm with PCA mixture models, where the shape is split up into regions each described by an individual subspace, is addressed. Mixture models require either blending or regularization strategies, both of which are described in detail. For both algorithms, strategies for filling in missing geometry for incomplete laser-scans are described. While an interpolation-based approach can be used to fill in small or smooth regions, the model-driven algorithm is capable of fitting a plausible complete head mesh to arbitrarily small geometry, which is known as "shape completion". The importance of regularization in the case of extreme shape completion is shown.

3D printing and its applications

Eine zunehmende Anzahl von Artikeln in Publikumszeitschriften und Journalen rückt die direkte Herstellung von Bauteilen und Figuren immer mehr in das Bewusstsein einer breiten Öffentlichkeit. Leider ergibt sich nur selten ein einigermaßen vollständiges Bild davon, wie und in welchen Lebensbereichen diese Techniken unseren Alltag verändern werden. Das liegt auch daran, dass die meisten Artikel sehr technisch geprägt sind und sich nur punktuell auf Beispiele stützen. Dieser Beitrag geht von den Bedürfnissen der Menschen aus, wie sie z.B. in der Maslow’schen Bedürfnispyramide strukturiert dargestellt sind und unterstreicht dadurch, dass 3D Printing (oder Additive Manufacturing resp. Rapid Prototyping) bereits alle Lebensbereiche erfasst hat und im Begriff ist, viele davon zu revolutionieren.

3D Drucken und die Anwendungen

Eine zunehmende Anzahl von Artikeln in Publikumszeitschriften und Journalen rückt die direkte Herstellung von Bauteilen und Figuren immer mehr in das Bewusstsein einer breiten Öffentlichkeit. Leider ergibt sich nur selten ein einigermaßen vollständiges Bild davon, wie und in welchen Lebensbereichen diese Techniken unseren Alltag verändern werden. Das liegt auch daran, dass die meisten Artikel sehr technisch geprägt sind und sich nur punktuell auf Beispiele stützen. Dieser Beitrag geht von den Bedürfnissen der Menschen aus, wie sie z.B. in der Maslow’schen Bedürfnispyramide strukturiert dargestellt sind und unterstreicht dadurch, dass 3D Printing (oder Additive Manufacturing resp. Rapid Prototyping) bereits alle Lebensbereiche erfasst hat und im Begriff ist, viele davon zu revolutionieren.