756 resultados para Android, illuminazione stradale, geolocalizzazione


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Il seguente elaborato di tesi tratta il problema della pianificazione di voli fotogrammetrici a bassa quota mediante l’uso di SAPR, in particolare è presentata una disamina delle principali applicazioni che permettono di programmare una copertura fotogrammetrica trasversale e longitudinale di un certo poligono con un drone commerciale. Il tema principale sviluppato è la gestione di un volo fotogrammetrico UAV mediante l’uso di applicativi software che permettono all’utente di inserire i parametri di volo in base alla tipologia di rilievo che vuole effettuare. L’obbiettivo finale è quello di ottenere una corretta presa fotogrammetrica da utilizzare per la creazione di un modello digitale del terreno o di un oggetto attraverso elaborazione dati in post-processing. La perfetta configurazione del volo non può prescindere dalle conoscenze base di fotogrammetria e delle meccaniche di un veicolo UAV. I capitoli introduttivi tratteranno infatti i principi della fotogrammetria analogica e digitale soffermandosi su temi utili alla comprensione delle problematiche relative al progetto di rilievo fotogrammetrico aereo. Una particolare attenzione è stata posta sulle nozioni di fotogrammetria digitale che, insieme agli algoritmi di Imagine Matching derivanti dalla Computer Vision, permette di definire il ramo della Fotogrammetria Moderna. Nei capitoli centrali verranno esaminate e confrontate una serie di applicazioni commerciali per smartphone e tablet, disponibili per sistemi Apple e Android, per trarne un breve resoconto conclusivo che le compari in termini di accessibilità, potenzialità e destinazione d’uso. Per una maggiore comprensione si determinano univocamente gli acronimi con cui i droni vengono chiamati nei diversi contesti: UAV (Unmanned Aerial Vehicle), SAPR (Sistemi Aeromobili a Pilotaggio Remoto), RPAS (Remotely Piloted Aicraft System), ARP (Aeromobili a Pilotaggio Remoto).

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Enterprise apps on mobile devices typically need to communicate with other system components by consuming web services. Since most of the current mobile device platforms (such as Android) do not provide built-in features for consuming SOAP services, extensions have to be designed. Additionally in order to accommodate the typical enhanced security requirements of enterprise apps, it is important to be able to deal with SOAP web service security extensions on client side. In this article we show that neither the built-in SOAP capabilities for Android web service clients are sufficient for enterprise apps nor are the necessary security features supported by the platform as is. After discussing different existing extensions making Android devices SOAP capable we explain why none of them is really satisfactory in an enterprise context. Then we present our own solution which accommodates not only SOAP but also the WS-Security features on top of SOAP. Our solution heavily relies on code generation in order to keep the flexibility benefits of SOAP on one hand while still keeping the development effort manageable for software development. Our approach provides a good foundation for the implementation of other SOAP extensions apart from security on the Android platform as well. In addition our solution based on the gSOAP framework may be used for other mobile platforms in a similar manner.

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Reverse engineering is usually the stepping stone of a variety of at-tacks aiming at identifying sensitive information (keys, credentials, data, algo-rithms) or vulnerabilities and flaws for broader exploitation. Software applica-tions are usually deployed as identical binary code installed on millions of com-puters, enabling an adversary to develop a generic reverse-engineering strategy that, if working on one code instance, could be applied to crack all the other in-stances. A solution to mitigate this problem is represented by Software Diversity, which aims at creating several structurally different (but functionally equivalent) binary code versions out of the same source code, so that even if a successful attack can be elaborated for one version, it should not work on a diversified ver-sion. In this paper, we address the problem of maximizing software diversity from a search-based optimization point of view. The program to protect is subject to a catalogue of transformations to generate many candidate versions. The problem of selecting the subset of most diversified versions to be deployed is formulated as an optimisation problem, that we tackle with different search heuristics. We show the applicability of this approach on some popular Android apps.

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Las personas sordociegas se encuentran con dificultades para la comunicación presencial debidas a la imposibilidad de compartir información con interlocutores desconocidos o semidesconocidos que, en general, no saben o no dominan las formas y sistemas alternativos de comunicación utilizados por ellas. La tecnología actual y, en particular, los dispositivos móviles, ha permitido el desarrollo de este proyecto, cuya finalidad es la de ofrecer una nueva vía de comunicación en las citadas situaciones. Se han utilizado teléfonos inteligentes y tabletas (iPhone, iPad y dispositivos con Android) como canal para el proceso comunicativo que se produce entre dos personas. La aplicación desarrollada pretende recrear la comunicación entre dos personas, una de las cuales es sordociega. Para el interlocutor sordociego se han tenido en cuenta dos perfiles de usuario: personas sordociegas que son sordas pero que tienen visión limitada que les permite leer los mensajes del teléfono aunque sea ampliando el tamaño de los mismos, y otro perfil de personas sordociegas que son igualmente sordas pero también ciegas totales y que utilizarán un revisor de pantallas para acceder a la información que muestre la aplicación.

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Syftet med denna studie är att undersöka fördröjningsskillnader inom användargränssnitt mellan native­utvecklade appar (utveckling till varje plattform) och appar av typen generated apps. Eftersom arbetet syftar till att bidra med information om prestanda ansågs en experimentell metod vara det bästa valet. Mätning av laddningstider gjordes med hjälp av en videokamera som filmade utförandet av experimenten vilket gjorde metoden simpel och liknar det som en användare kommer att uppleva. Avgränsning till plattformarna Android och iOS gjordes där Xamarin valdes som ramverk inom tekniker som skapar generated apps. Mätdata från experiment som undersökte laddningstider, experiment med användare som hanterade listors respons samt undersökning av CPU­ och minnesanvändning tyder på ett återkommande mönster. Xamarin Forms med XAML är den teknik som presterat sämst under experimenten som sedan följs av Xamarin Forms. Xamarin Android/iOS hade inte lika stora prestandaförluster jämfört med native­utvecklade delar. Generellt hanterar Xamarin Forms telefonens resurser sämre än vad Xamarin Android/iOS och native gör. Resultat från studien kan användas som beslutsstöd vid val av teknik. Studien bidrar även med data som kan användas vid vidare forskning inom området.

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Augmented Reality (AR) is currently gaining popularity in multiple different fields. However, the technology for AR still requires development in both hardware and software when considering industrial use. In order to create immersive AR applications, more accurate pose estimation techniques to define virtual camera location are required. The algorithms for pose estimation often require a lot of processing power, which makes robust pose estimation a difficult task when using mobile devices or designated AR tools. The difficulties are even larger in outdoor scenarios where the environment can vary a lot and is often unprepared for AR. This thesis aims to research different possibilities for creating AR applications for outdoor environments. Both hardware and software solutions are considered, but the focus is more on software. The majority of the thesis focuses on different visual pose estimation and tracking techniques for natural features. During the thesis, multiple different solutions were tested for outdoor AR. One commercial AR SDK was tested, and three different custom software solutions were developed for an Android tablet. The custom software solutions were an algorithm for combining data from magnetometer and a gyroscope, a natural feature tracker and a tracker based on panorama images. The tracker based on panorama images was implemented based on an existing scientific publication, and the presented tracker was further developed by integrating it to Unity 3D and adding a possibility for augmenting content. This thesis concludes that AR is very close to becoming a usable tool for professional use. The commercial solutions currently available are not yet ready for creating tools for professional use, but especially for different visualization tasks some custom solutions are capable of achieving a required robustness. The panorama tracker implemented in this thesis seems like a promising tool for robust pose estimation in unprepared outdoor environments.

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A prevalência estimada da Doença Pulmonar Obstrutiva Crónica (DPOC) em Portugal é de 14,2% para indivíduos com idade superior a 45 anos (cerca de 800.000 indivíduos), sendo mais prevalente no sexo masculino (Observatório Nacional das Doenças Respiratórias, 2014). Com o aparecimento de soluções baseadas em novas modalidades de eHealth e mHealth surgiram novas formas de acompanhamento e monitorização das doenças crónicas, nomeadamente da DPOC. É neste contexto que foi desenvolvida a aplicação mobile Exercit@rt, em parceria com a Escola Superior de Saúde da Universidade de Aveiro e em continuidade com outros estudos do MCMM anteriormente desenvolvidos. A aplicação permite monitorizar, em tempo real, através da utilização de um oxímetro Bluetooth, os níveis de batimento cardíaco e saturação de oxigénio dos pacientes com DPOC. Com esta aplicação os pacientes podem realizar diversos exercícios de fisioterapia respiratória assim como atividades físicas de vida diária que podem ser monitorizadas, georreferenciadas e avaliadas. Para além do desenvolvimento da aplicação mobile, a presente investigação integrou ainda uma etapa de validação que contou com a participação de dez pacientes com doenças do foro respiratório – cinco utilizadores que utilizam/têm smartphone (UTS) e cinco utilizadores não utilizam/não têm smartphone (NUNTS). A cada um destes foram propostas tarefas a realizar na aplicação mobile, estando previsto que a aplicação estivesse apta para qualquer participante. A totalidade dos participantes reconheceu a utilidade da aplicação no controlo da sua doença.

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Vehicular networks, also known as VANETs, are an ad-hoc network formed by vehicles and road-side units. Nowadays they have been attracting big interest both from researchers as from the automotive industry. With the upcoming of automotive specific operating systems and self-driving cars, the use of applications on vehicles and the integration with common mobile devices is becoming a big part of VANETs. Although many advances have been made on this field, there is still a big discrepancy between the communication layer services provided by VANETs and the user level services, namely those accessible through mobile applications on other networks and technologies. Users and developers are accustomed to user-to-user or user-tobusiness communication without explicit concerns related with the available communication transport layer. Such is not possible in VANETs since people may use more than one vehicle. However, to send a message to a specific user in these networks, there is a need to know the ID of the vehicle where the user is, meaning that there is a lack of services that map each individual user to VANETs endpoint (vehicle identification). This dissertation work proposes VANESS, a naming service as a resource to support user-to-user communication within a heterogeneous scenario comprising typical ISP scenario and VANETs focused on mobile devices. The proposed system is able to map the user to an end point either locally (i.e. there is not internet connection at all), online (i.e. system is not in a vehicular network but has direct internet connection) and using a gateway (i.e. the system is in a vehicular network where some of the nodes have internet access and will act as a gateway). VANESS was fully implemented on android OS with results proving his viability, and partially on iOS showing its multiplatform capabilities.

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Food safety has always been a social issue that draws great public attention. With the rapid development of wireless communication technologies and intelligent devices, more and more Internet of Things (IoT) systems are applied in the food safety tracking field. However, connection between things and information system is usually established by pre-storing information of things into RFID Tag, which is inapplicable for on-field food safety detection. Therefore, considering pesticide residue is one of the severe threaten to food safety, a new portable, high-sensitivity, low-power, on-field organophosphorus (OP) compounds detection system is proposed in this thesis to realize the on-field food safety detection. The system is designed based on optical detection method by using a customized photo-detection sensor. A Micro Controller Unit (MCU) and a Bluetooth Low Energy (BLE) module are used to quantize and transmit detection result. An Android Application (APP) is also developed for the system to processing and display detection result as well as control the detection process. Besides, a quartzose sample container and black system box are also designed and made for the system demonstration. Several optimizations are made in wireless communication, circuit layout, Android APP and industrial design to realize the mobility, low power and intelligence.

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With the rapid development of Internet technologies, video and audio processing are among the most important parts due to the constant requirements of high quality media contents. Along with the improvement of network environment and the hardware equipment, this demand is becoming more and more imperious, people prefer high quality videos and audios as well as the net streaming media resources. FFmpeg is a set of open source program about the A/V decoding. Many commercial players use FFmpeg as their displaying cores. This paper designed a simple and easy-to-use video player based on FFmpeg. The first part is about the basic theories and related knowledge of video displaying, including some concepts like data formats, streaming media data, video coding and decoding. In a word, the realization of the video player depend on the a set of video decoding process. The general idea about the process is to get the video packets from the Internet, to read the related protocols and de-encapsulate the protocols, to de-encapsulate the packaging data and to get encoded formats data, to decode them to pixel data that can be displayed directly through graphics cards. During the coding and decoding process, there could be different degrees of data losing, which is called lossy compression, but it usually does not influence the quality of user experiences. The second part is about the principle of the FFmpeg decoding process, that is one of the key point of the paper. In this project, FFmpeg is used for the main decoding task, by call some main functions and structures from FFmpeg class libraries, packaging video formats could be transfer to pixel data, after getting the pixel data, SDL is used for the displaying process. The third part is about the SDL displaying flow. Similarly, it would invoke some important displaying functions from SDL class libraries to realize the function, though SDL is able to do not only displaying task, but also many other game playing process. After that, a independent video displayer is completed, it is provided with all the key function of a player. The fourth part make a simple users interface for the player based on the MFC program, it enable the player could be used by most people. At last, in consideration of the mobile Internet’s blossom, people nowadays can hardly ever drop their mobile phones, there is a brief introduction about how to transplant the video player to Android platform which is one of the most used mobile systems.

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The general purpose of this work is to investigate the potential of a mobile phone to capture soil colour images and process them, returning the corresponding Munsell colour coordi- nates from the digital RGB captured images, and also estimate the tristimulus values from the same images. A mobile phone HTC Desire HD, which runs Android 2.2, has been used to take and process images of a Munsell Soil Colour Chart under fixed illumination conditions. To obtain tristimulus values of each sample a Konica Minolta CS2000d spectroradiometer has been used under the same conditions. Penrose’s pseudoinverse method has been used to compute relationship between RGB coordinates from digital images and tristimulus values. Once the model has been computed it was implemented in the mobile phone. Results of this calibration show that more than 90% of the samples used in the calibration (238 chips) were measured by our mobile phone application with accuracy below 2.03 CIELAB units and a mean correlation coefficient equal to 0.9972. In case of Munsell models mean correlation coefficient is equal to 0.9407. This points to the idea that a conventional mobile device can be used to determine the colour of a soil under controlled illumination conditions.

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El objetivo de este trabajo ha sido el diseño y la implementación de una aplicación de escritorio para el control de la asistencia mediante el reconocimiento robusto de fiducials. La idea principal es que este sistema sea fiable y robusto y que nos permita ahorrar tiempo en el proceso de control de la asistencia. Para ello se ha diseñado un sistema que consta de dos partes, por un lado la aplicación de escritorio que haciendo uso de una webcam reconoce los fiducials y marca la asistencia del alumno en un hoja de cálculo de Google Drive y por otro lado una aplicación para dispositivos Android que genera un marcador a partir del NIU de cada alumno.

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Symbolic execution is a powerful program analysis technique, but it is very challenging to apply to programs built using event-driven frameworks, such as Android. The main reason is that the framework code itself is too complex to symbolically execute. The standard solution is to manually create a framework model that is simpler and more amenable to symbolic execution. However, developing and maintaining such a model by hand is difficult and error-prone. We claim that we can leverage program synthesis to introduce a high-degree of automation to the process of framework modeling. To support this thesis, we present three pieces of work. First, we introduced SymDroid, a symbolic executor for Android. While Android apps are written in Java, they are compiled to Dalvik bytecode format. Instead of analyzing an app’s Java source, which may not be available, or decompiling from Dalvik back to Java, which requires significant engineering effort and introduces yet another source of potential bugs in an analysis, SymDroid works directly on Dalvik bytecode. Second, we introduced Pasket, a new system that takes a first step toward automatically generating Java framework models to support symbolic execution. Pasket takes as input the framework API and tutorial programs that exercise the framework. From these artifacts and Pasket's internal knowledge of design patterns, Pasket synthesizes an executable framework model by instantiating design patterns, such that the behavior of a synthesized model on the tutorial programs matches that of the original framework. Lastly, in order to scale program synthesis to framework models, we devised adaptive concretization, a novel program synthesis algorithm that combines the best of the two major synthesis strategies: symbolic search, i.e., using SAT or SMT solvers, and explicit search, e.g., stochastic enumeration of possible solutions. Adaptive concretization parallelizes multiple sub-synthesis problems by partially concretizing highly influential unknowns in the original synthesis problem. Thanks to adaptive concretization, Pasket can generate a large-scale model, e.g., thousands lines of code. In addition, we have used an Android model synthesized by Pasket and found that the model is sufficient to allow SymDroid to execute a range of apps.

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Relatório de estágio para obtenção do grau de mestre na área de Educação e Comunicação Multimédia

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Trabalho Final de Mestrado para obtenção do Grau de Mestre em Engenharia de Redes de Comunicação e Multimédia