Sviluppo di un'applicazione Android per l'accessibilità urbana degli edifici e della città

Il documento di tesi è composto da tre capitoli, che in successione analizzano gli aspetti teorici del progetto fino ad arrivare all’implementazione vera e propria dell’applicazione. Nel primo capitolo vediamo definito il tema dell’accessibilità accennando alle normative presenti in Italia e all’estero sull’argomento. Successivamente viene spiegato il concetto di Smart City e le tecniche che vengono utilizzate allo scopo di migliorare la qualità di vita nelle città. Vengono introdotti i concetti di crowdsourcing e participatory sensing, ideologie alla base delle Smart City. Al termine del capitolo viene introdotto uno studio sul grado di accessibilità degli smartphone presenti oggi sul mercato, analizzando anche le tecnologie assistive disponibili per questi dispositivi. Nel secondo capitolo si descrivono le tecnologie e i servizi utilizzati durante la creazione del progetto. In particolare viene presentato Android ed il suo funzionamento, essendo quest’ultimo il sistema operativo per cui è stata sviluppata l’applicazione. In seguito troviamo una breve analisi di tutti i servizi impiegati nel progetto: Foursquare, Fusion Table e Google Maps. Infine vengono descritte le tecnologie intermedie utilizzate per far comunicare fra loro gli strumenti spiegati in precedenza. Nel terzo capitolo viene presentata in modo dettagliato l’implementazione del progetto. Inizialmente vengono definite le classi principali create per progettare le funzionalità di base del software e per interagire con i servizi scelti. Successivamente viene descritto il funzionamento e l’aspetto dell’applicazione sviluppata insieme a degli screenshot, che permetteranno al lettore di avere un riferimento visivo di ciò che è stato esposto nel corso della tesi.

Ricostruzione 3d da immagini rgb-d su piattaforma mobile

Viene proposto un porting su piattaforma mobile Android di un sistema SLAM (Simultaneous Localization And Mapping) chiamato SlamDunk. Il porting affronta problematiche di prestazioni e qualità delle ricostruzioni 3D ottenute, proponendo poi la soluzione ritenuta ottimale.

IDCardOCR: Studio di tecniche di OCR per acquisire dati anagrafici mediante scanning di documenti di identità

Il progetto IDCardOCR si propone di investigare e realizzare le tecnologie per la messa in opera di un servizio avanzato di scanning di documenti di identità e acquisizione automatica dei dati anagrafici in formato strutturato tramite dispositivi mobili. In particolare si vuole realizzare una App Android in grado di: • Acquisire immagini di documenti di identità in diversi formati e rilevare tramite OCR i dati anagrafici. I dati dovranno poi essere salvati in formato strutturato. • Permettere la definizione di diversi template per l’acquisizione di documenti di tipo diverso (patenti, passaporti, IDCard straniere,… ) • Predisporre la possibilità di caricamento dei dati acquisiti su un server.

The physiological role of APP in the activation of neuroprotective signaling mechanisms

Accumulating evidence indicates that loss of physiological amyloid precursor protein (APP) function leads to enhanced susceptibility of neurons to cellular stress during brain aging. This study investigated the neuroprotective function of the soluble APP ectodomain sAPPα. Recombinant sAPPα protected primary hippocampal neurons and neuroblastoma cells from cell death induced by trophic factor deprivation. This protective effect was abrogated in APP-depleted neurons, but not in APLP1-, APLP2- or IGF1-R-deficient cells, indicating that expression of holo-APP is required for sAPPα-dependent neuroprotection. Strikingly, recombinant sAPPα, APP-E1 domain and the copper-binding growth factor-like domain (GFLD) of APP were able to stimulate PI3K/Akt survival signaling in different wildtype cell models, but failed in APP-deficient cells. An ADAM10 inhibitor blocking endogenous sAPPα secretion exacerbated neuron death in organotypic hippocampal slices subjected to metabolic stress, which could be rescued by exogenous sAPPα. Interestingly, sAPPα-dependent neuroprotection was unaffected in neurons of APP-ΔCT15 mice which lack the intracellular C-terminal YENPTY motif of APP. In contrast, sAPPα-dependent Akt signaling was completely abolished in APP mutant cells lacking the C-terminal G-protein interaction motif and by specifically blocking Gi/o-dependent signaling with pertussis toxin. Collectively, the present thesis provides new mechanistic insights into the physiological role of APP: the data suggest that cell surface APP mediates sAPPα-induced neuroprotection via Go-protein-coupled activation of the Akt pathway.

Business chat: sviluppo e implementazione

In questa tesi si vuole parlare dello sviluppo e dell'implementazione di un'applicazione per smartphone. L'applicazione in questione si chiama BusinessChat, è stata sviluppata per Android e utilizza sia lato server, sia lato Client. BusinessChat è un applicazione che mette in contatto consumatori e gestori di attività. Lo scopo dell'app è quindi quello di permettere al consumatore, di comunicare con il business in maniera più immediata, semplice e diretta. Per quanto riguarda il business può utilizzare quest'app sia per fornire un servizio al proprio cliente che per utilizzarla per pubblicizzare la propria attività, ad esempio con messaggi in broadcast a tutti i propri contatti (questa funzione non è ancora presente nella nostra applicazione, ma verrà aggiunta in un breve futuro). L'utente può ricercare, attraverso l'uso di una mappa, una particolare attività, ed eventualmente mettersi in contatto con lei, ad esempio, se ciò che cerchiamo è un ristorante, potremmo voler sapere se questa sera sono ancora disponibili dei posti liberi nel proprio locale, oppure se ad esempio volessimo ordinare delle pizze da asporto dalla nostra pizzeria di fiducia o sapere se sono attrezzati per gestire clienti allergici al glutine, o più semplicemente per conoscere l'orario di chiusura, tutto questo sarebbe possibile farlo attraverso pochissimi passi grazie a BusinessChat.

Emergency direct: studio e implementazione di un'applicazione android per disseminazione di messaggi d'allarme in reti spontanee

In questa tesi inizialmente ci si è occupati di definire ed approfondire le caratteristiche della tecnologia Wi-Fi Direct, illustrandone il funzionamento, l’architettura e gli scenari di utilizzo. Successivamente è stata sviluppata un’applicazione basata su tale tecnologia, con lo scopo di fornire un servizio di disseminazione di messaggi d’aiuto in situazioni di emergenza o di catastrofi naturali, nelle quali la rete cellulare viene inevitabilmente meno. In queste occasioni c’è il bisogno di avere uno strumento che permetta di comunicare in maniera facile, veloce e che sia alla portata di tutti. Caratteristiche e qualità proprie di uno smartphone, dispositivo che oggigiorno è presente nelle tasche di ognuno di noi. L’obiettivo finale infatti, sarebbe quello di creare un applicativo che possa idealmente essere preinstallato in ogni nostro dispositivo, un servizio che sia diffuso, compreso ed utilizzabile istantaneamente da tutti, in modo tale da essere una sicurezza e un aiuto di vitale importanza in situazioni di pericolo. Per lo sviluppo di una tale applicazione ci si è basati sul sistema operativo Android, che è il più diffuso tra gli utenti di tutto il mondo. Nel primo capitolo ci si è occupati di di presentare ed approfondire la tecnologia Wi-Fi Direct, definendone gli ambiti generali di utilizzo e le problematiche che vengono affrontate. Nel secondo capitolo si prosegue con la presentazione della tecnologia in ambiente Android, descrivendo le API fornite da Google per l’utilizzo del servizio in questione. Nel terzo capitolo, dopo un’analisi dei progetti che coinvolgono tale tecnologia, viene illustrata l’applicazione creata, le sue funzionalità e caratteristiche ed eventuali casi d’uso. Nel quarto capitolo è stata inserita la parte più tecnica, dove illustro i problemi incontrati e le modalità di risoluzione degli stessi, insieme alle strutture ed agli oggetti messi a disposizione da Java che sono stati utilizzati. Infine nel capitolo conclusivo è stato fatto un riepilogo del lavoro svolto, indicando le difficoltà incontrate ed eventuali possibili miglioramenti e sviluppi futuri del mio progetto.

Dangers of ‘Facebook Login’ for Mobile Apps: Is There a Price Tag for Social Information?

Social networks offer horizontal integration for any mobile platform providing app users with a convenient single sign-on point. Nonetheless, there are growing privacy concerns regarding its use. These vulnerabilities trigger alarm among app developers who fight for their user base: While they are happy to act on users’ information collected via social networks, they are not always willing to sacrifice their adoption rate for this goal. So far, understanding of this trade-off has remained ambiguous. To fill this gap, we employ a discrete choice experiment to explore the role of Facebook Login and investigate the impact of accompanying requests for different information items / actions in the mobile app adoption process. We quantify users’ concerns regarding these items in monetary terms. Beyond hands-on insights for providers, our study contributes to the theoretical discourse on the value of privacy in the growing world of Social Media and mobile web.

Clinical Perspectives from Randomized Phase 3 Trials on Prostate Cancer: An Analysis of the ClinicalTrials.gov Database

AbstractBackground It is not easy to overview pending phase 3 trials on prostate cancer (PCa), and awareness of these trials would benefit clinicians. Objective To identify all phase 3 trials on {PCa} registered in the ClinicalTrials.gov database with pending results. Design and setting On September 29, 2014, a database was established from the records for 175 538 clinical trials registered on ClinicalTrials.gov. A search of this database for the substring “prostat” identified 2951 prostate trials. Phase 3 trials accounted for 441 studies, of which 333 concerned only PCa. We selected only ongoing or completed trials with pending results, that is, for which the primary endpoint had not been published in a peer-reviewed medical journal. Results and limitations We identified 123 phase 3 trials with pending results. Trials were conducted predominantly in North America (n = 63; 51) and Europe (n = 47; 38). The majority were on nonmetastatic disease (n = 82; 67), with 37 (30) on metastatic disease and four trials (3) including both. In terms of intervention, systemic treatment was most commonly tested (n = 71; 58), followed by local treatment 34 (28), and both systemic and local treatment (n = 11; 9), with seven (6) trials not classifiable. The 71 trials on systemic treatment included androgen deprivation therapy (n = 34; 48), chemotherapy (n = 15; 21), immunotherapy (n = 9; 13), other systemic drugs (n = 9; 13), radiopharmaceuticals (n = 2; 3), and combinations (n = 2; 3). Local treatments tested included radiation therapy (n = 27; 79), surgery (n = 5; 15), and both (n = 2; 2). A limitation is that not every clinical trial is registered on ClinicalTrials.gov. Conclusion There are many {PCa} phase 3 trials with pending results, most of which address questions regarding systemic treatments for both nonmetastatic and metastatic disease. Radiation therapy and androgen deprivation therapy are the interventions most commonly tested for local and systemic treatment, respectively. Patient summary This report describes all phase 3 trials on prostate cancer registered in the ClinicalTrials.gov database with pending results. Most of these trials address questions regarding systemic treatments for both nonmetastatic and metastatic disease. Radiation therapy and androgen deprivation therapy are the interventions most commonly tested for local and systemic treatment, respectively.

Localization and activity detection Based on the fusion of environment And inertial sensors = Localización y detección de actividad Basadas en integración de sensores y dispositivos inerciales

Los sensores inerciales (acelerómetros y giróscopos) se han ido introduciendo poco a poco en dispositivos que usamos en nuestra vida diaria gracias a su minituarización. Hoy en día todos los smartphones contienen como mínimo un acelerómetro y un magnetómetro, siendo complementados en losmás modernos por giróscopos y barómetros. Esto, unido a la proliferación de los smartphones ha hecho viable el diseño de sistemas basados en las medidas de sensores que el usuario lleva colocados en alguna parte del cuerpo (que en un futuro estarán contenidos en tejidos inteligentes) o los integrados en su móvil. El papel de estos sensores se ha convertido en fundamental para el desarrollo de aplicaciones contextuales y de inteligencia ambiental. Algunos ejemplos son el control de los ejercicios de rehabilitación o la oferta de información referente al sitio turístico que se está visitando. El trabajo de esta tesis contribuye a explorar las posibilidades que ofrecen los sensores inerciales para el apoyo a la detección de actividad y la mejora de la precisión de servicios de localización para peatones. En lo referente al reconocimiento de la actividad que desarrolla un usuario, se ha explorado el uso de los sensores integrados en los dispositivos móviles de última generación (luz y proximidad, acelerómetro, giróscopo y magnetómetro). Las actividades objetivo son conocidas como ‘atómicas’ (andar a distintas velocidades, estar de pie, correr, estar sentado), esto es, actividades que constituyen unidades de actividades más complejas como pueden ser lavar los platos o ir al trabajo. De este modo, se usan algoritmos de clasificación sencillos que puedan ser integrados en un móvil como el Naïve Bayes, Tablas y Árboles de Decisión. Además, se pretende igualmente detectar la posición en la que el usuario lleva el móvil, no sólo con el objetivo de utilizar esa información para elegir un clasificador entrenado sólo con datos recogidos en la posición correspondiente (estrategia que mejora los resultados de estimación de la actividad), sino también para la generación de un evento que puede producir la ejecución de una acción. Finalmente, el trabajo incluye un análisis de las prestaciones de la clasificación variando el tipo de parámetros y el número de sensores usados y teniendo en cuenta no sólo la precisión de la clasificación sino también la carga computacional. Por otra parte, se ha propuesto un algoritmo basado en la cuenta de pasos utilizando informaiii ción proveniente de un acelerómetro colocado en el pie del usuario. El objetivo final es detectar la actividad que el usuario está haciendo junto con la estimación aproximada de la distancia recorrida. El algoritmo de cuenta pasos se basa en la detección de máximos y mínimos usando ventanas temporales y umbrales sin requerir información específica del usuario. El ámbito de seguimiento de peatones en interiores es interesante por la falta de un estándar de localización en este tipo de entornos. Se ha diseñado un filtro extendido de Kalman centralizado y ligeramente acoplado para fusionar la información medida por un acelerómetro colocado en el pie del usuario con medidas de posición. Se han aplicado también diferentes técnicas de corrección de errores como las de velocidad cero que se basan en la detección de los instantes en los que el pie está apoyado en el suelo. Los resultados han sido obtenidos en entornos interiores usando las posiciones estimadas por un sistema de triangulación basado en la medida de la potencia recibida (RSS) y GPS en exteriores. Finalmente, se han implementado algunas aplicaciones que prueban la utilidad del trabajo desarrollado. En primer lugar se ha considerado una aplicación de monitorización de actividad que proporciona al usuario información sobre el nivel de actividad que realiza durante un período de tiempo. El objetivo final es favorecer el cambio de comportamientos sedentarios, consiguiendo hábitos saludables. Se han desarrollado dos versiones de esta aplicación. En el primer caso se ha integrado el algoritmo de cuenta pasos en una plataforma OSGi móvil adquiriendo los datos de un acelerómetro Bluetooth colocado en el pie. En el segundo caso se ha creado la misma aplicación utilizando las implementaciones de los clasificadores en un dispositivo Android. Por otro lado, se ha planteado el diseño de una aplicación para la creación automática de un diario de viaje a partir de la detección de eventos importantes. Esta aplicación toma como entrada la información procedente de la estimación de actividad y de localización además de información almacenada en bases de datos abiertas (fotos, información sobre sitios) e información sobre sensores reales y virtuales (agenda, cámara, etc.) del móvil. Abstract Inertial sensors (accelerometers and gyroscopes) have been gradually embedded in the devices that people use in their daily lives thanks to their miniaturization. Nowadays all smartphones have at least one embedded magnetometer and accelerometer, containing the most upto- date ones gyroscopes and barometers. This issue, together with the fact that the penetration of smartphones is growing steadily, has made possible the design of systems that rely on the information gathered by wearable sensors (in the future contained in smart textiles) or inertial sensors embedded in a smartphone. The role of these sensors has become key to the development of context-aware and ambient intelligent applications. Some examples are the performance of rehabilitation exercises, the provision of information related to the place that the user is visiting or the interaction with objects by gesture recognition. The work of this thesis contributes to explore to which extent this kind of sensors can be useful to support activity recognition and pedestrian tracking, which have been proven to be essential for these applications. Regarding the recognition of the activity that a user performs, the use of sensors embedded in a smartphone (proximity and light sensors, gyroscopes, magnetometers and accelerometers) has been explored. The activities that are detected belong to the group of the ones known as ‘atomic’ activities (e.g. walking at different paces, running, standing), that is, activities or movements that are part of more complex activities such as doing the dishes or commuting. Simple, wellknown classifiers that can run embedded in a smartphone have been tested, such as Naïve Bayes, Decision Tables and Trees. In addition to this, another aim is to estimate the on-body position in which the user is carrying the mobile phone. The objective is not only to choose a classifier that has been trained with the corresponding data in order to enhance the classification but also to start actions. Finally, the performance of the different classifiers is analysed, taking into consideration different features and number of sensors. The computational and memory load of the classifiers is also measured. On the other hand, an algorithm based on step counting has been proposed. The acceleration information is provided by an accelerometer placed on the foot. The aim is to detect the activity that the user is performing together with the estimation of the distance covered. The step counting strategy is based on detecting minima and its corresponding maxima. Although the counting strategy is not innovative (it includes time windows and amplitude thresholds to prevent under or overestimation) no user-specific information is required. The field of pedestrian tracking is crucial due to the lack of a localization standard for this kind of environments. A loosely-coupled centralized Extended Kalman Filter has been proposed to perform the fusion of inertial and position measurements. Zero velocity updates have been applied whenever the foot is detected to be placed on the ground. The results have been obtained in indoor environments using a triangulation algorithm based on RSS measurements and GPS outdoors. Finally, some applications have been designed to test the usefulness of the work. The first one is called the ‘Activity Monitor’ whose aim is to prevent sedentary behaviours and to modify habits to achieve desired objectives of activity level. Two different versions of the application have been implemented. The first one uses the activity estimation based on the step counting algorithm, which has been integrated in an OSGi mobile framework acquiring the data from a Bluetooth accelerometer placed on the foot of the individual. The second one uses activity classifiers embedded in an Android smartphone. On the other hand, the design of a ‘Travel Logbook’ has been planned. The input of this application is the information provided by the activity and localization modules, external databases (e.g. pictures, points of interest, weather) and mobile embedded and virtual sensors (agenda, camera, etc.). The aim is to detect important events in the journey and gather the information necessary to store it as a journal page.

Towards pattern-based design recovery

A method and a corresponding tool is described which assist design recovery and program understanding by recognising instances of design patterns semi-automatically. The approach taken is specifically designed to overcome the existing scalability problems caused by many design and implementation variants of design pattern instances. Our approach is based on a new recognition algorithm which works incrementally rather than trying to analyse a possibly large software system in one pass without any human intervention. The new algorithm exploits domain and context knowledge given by a reverse engineer and by a special underlying data structure, namely a special form of an annotated abstract syntax graph. A comparative and quantitative evaluation of applying the approach to the Java AWT and JGL libraries is also given.

Análise gráfica de elementos do design na interface de aplicativos de notícias baseados em mobilidade: um estudo do aplicativo Brasil 247

The different characteristics and needs of mobile device users, the situations in which these devices are operated and the limitations and characteristics of these devices are all factors which influence usability and ergonomics; two elements highly required for achieving successful interaction between users and devices. This research aims to identify characteristics of interface design for apps in mobile device applications, focussing on design, visual publishing and content editing, and the actual process of creation of these interfaces, with a view to guarantee quality interaction through touch technology, in observance of service limitations, the opportunities offered by the devices and the application requirements. The study will examine the interface of the mobile device application titled “Brasil 247” which provides news broadcasts using the concept of usability and ergonomics mainly in the field of adaptation, searching and browsing informative articles, as well as clarifying the processes and techniques necessary to carry out interaction tests which seek to evaluate the usability of interface.

Home Manager Application su Android ART: progetto e realizzazione in ottica modern UI

Questa tesi si occupa della realizzazione, in ottica Modern UI, di una nuova interfaccia per l'applicazione Android del sistema domotico Home Manager. Dopo una prima fase di analisi preliminare, si affronta la progettazione dell'app, dall'analisi dei requisiti - ivi incluso il nuovo strumento di sviluppo da utilizzare, Android Studio - alla successiva analisi e progettazione della nuova soluzione, seguita da implementazione e collaudo.

News agencies, their constant reinvention as a strategy to face competition

News agencies compete for a foothold as providers of information and mass media. Covered by a technological class infrastructure, Associated Press, Reuters, Agence FrancePresse (AFP) and EFE are leaders of the global media system because they introduce revolutionary changes in their production routines, professional culture, journalistic genres and styles; also for its innovative product offerings and services. This article also focuses on the strategies of the agencies to get closer to their audiences, from the agreements established and the treatment of very specific themes. Some solutions that contribute to the future survival of these entities are also proposed.

BeSafe : Säkerhetsapplikation

Examensarbetet beskriver utvecklingen av säkerhetsapplikationen BeSafe vilken utvecklats för IT-konsulttjänsteverksamheten Sogeti. BeSafe kommer i framtiden integreras med två andra applikationer för att tillsammans bilda en större friluftsapplikation. Den färdiga applikationen besvarar de verifierbara målen och därmed även problemformuleringen. Applikationen erbjuder användaren möjlighet att stärka den egna säkerheten. Muntliga intervjuer genomfördes för att bestämma design, färger och logotyp för applikationen. Intervjuerna resulterade i en användarvänligare applikation där undersökningen riktade in arbetet mot det gränssnitt BeSafe nu har. BeSafe är utvecklad genom en iterativ process i utvecklingsmiljön Android Studios och riktar sig till enheter baserade på Androids OS. Vidareutveckling av applikationen skulle kunna ske i form av nya funktioner där användaren exempelvis kan tillåta anhöriga få live feedback på vart användaren befinner sig. Det har tagits hänsyn till etiska aspekter under arbetets gång för att värna om användarens integritet. Detta genom notifikationer, minimering av risk för spridning av data genom lagrings- och kommunikationssätt inom applikationen.

Garbage collection optimization for non uniform memory access architectures

Cache-coherent non uniform memory access (ccNUMA) architecture is a standard design pattern for contemporary multicore processors, and future generations of architectures are likely to be NUMA. NUMA architectures create new challenges for managed runtime systems. Memory-intensive applications use the system’s distributed memory banks to allocate data, and the automatic memory manager collects garbage left in these memory banks. The garbage collector may need to access remote memory banks, which entails access latency overhead and potential bandwidth saturation for the interconnection between memory banks. This dissertation makes five significant contributions to garbage collection on NUMA systems, with a case study implementation using the Hotspot Java Virtual Machine. It empirically studies data locality for a Stop-The-World garbage collector when tracing connected objects in NUMA heaps. First, it identifies a locality richness which exists naturally in connected objects that contain a root object and its reachable set— ‘rooted sub-graphs’. Second, this dissertation leverages the locality characteristic of rooted sub-graphs to develop a new NUMA-aware garbage collection mechanism. A garbage collector thread processes a local root and its reachable set, which is likely to have a large number of objects in the same NUMA node. Third, a garbage collector thread steals references from sibling threads that run on the same NUMA node to improve data locality. This research evaluates the new NUMA-aware garbage collector using seven benchmarks of an established real-world DaCapo benchmark suite. In addition, evaluation involves a widely used SPECjbb benchmark and Neo4J graph database Java benchmark, as well as an artificial benchmark. The results of the NUMA-aware garbage collector on a multi-hop NUMA architecture show an average of 15% performance improvement. Furthermore, this performance gain is shown to be as a result of an improved NUMA memory access in a ccNUMA system. Fourth, the existing Hotspot JVM adaptive policy for configuring the number of garbage collection threads is shown to be suboptimal for current NUMA machines. The policy uses outdated assumptions and it generates a constant thread count. In fact, the Hotspot JVM still uses this policy in the production version. This research shows that the optimal number of garbage collection threads is application-specific and configuring the optimal number of garbage collection threads yields better collection throughput than the default policy. Fifth, this dissertation designs and implements a runtime technique, which involves heuristics from dynamic collection behavior to calculate an optimal number of garbage collector threads for each collection cycle. The results show an average of 21% improvements to the garbage collection performance for DaCapo benchmarks.