JonBike. Aplicación Android para bicicletas basada en geolocalización

En este Proyecto Fin de Carrera se ha realizado el diseño y la implementación de la aplicación JonBike. Tiene como objetivo mejorar y optimizar el seguimiento de los entrenamientos de los ciclistas. El desarrollo se ha realizado en un marco de integración y colaboración directa de los usuarios en el proyecto, partiendo de un Producto Mínimo Viable o "Minimum Viable Product" (MVP) inicial e integrando su feedback en la progresiva ampliación de las características del servicio. El sistema está compuesto por una aplicación móvil nativa para Android y una fuente de datos alojada en un servidor remoto. En implementación se han utilizado tecnologías emergentes, todas de código abierto: MongoDB junto con MongoLab para el almacenamiento de datos y plataforma base para el backend, y desarrollando como cliente, una aplicación Android nativa.

Android-entzako SmartWatch prototipo baten garapena

GAL honek Android-entzako SmartWatch baten prototipo txiki bat egitea du helburu. SmartWatch-aren egiturari dagokionez, ondorengo atalak aurreikusten dira: • Eskumuturreko erlojua. Telefonotik datozen jakinarazpenak bere pantailatxoan adieraziko ditu. • Telefono mugikorra. Android sistema eragilean oinarrituta, hari gabeko teknologia bitartez erlojuari datuak bidaliko dizkion aplikazio bat garatuko da.

Desarrollo de cliente OMA PoC para Android

[ES]Se presenta el siguiente proyecto de desarrollo, enfocado en el contexto de suplir las necesidades de los equipos de emergencias. Actualmente los equipos de emergencias, hacen uso de walkie talkies para comunicarse entre sí, es decir, hacen uso de la tecnología PTT (Push-to-talk). Es una comunicación unidireccional de un usuario a muchos, de manera que pueden transmitir la información necesaria a varios usuarios simultáneamente. Por otra parte, la comunicación mediante esta tecnología hace posible que sea en tiempo real sin prácticamente ningún retraso. Sin embargo el uso de esta forma de comunicación trae consigo algunos inconvenientes. Por ejemplo, los dispositivos tienen un rango de alcance de transmisión-recepción limitado. Además la banda de frecuencia para poder comunicarse debe ser reservada a fin de evitar posibles problemas de comunicación debido a que el canal estuviera ocupado por otros usuarios, posibles interferencias, etc. La reserva de este rango de frecuencia, supone un coste añadido para el uso de esta tecnología. Con el desarrollo de las redes móviles que ofrecen grandes velocidades de transmisión, se hace posible el uso de la tecnología PTT mediante la red móvil existente. De esta manera, surge el siguiente proyecto de desarrollo de una aplicación móvil Android, como cliente que haga uso de la tecnología PTT sobre la red móvil PoC (Push-to-talk Over Cellular).

Smartphone ECG for evaluation of STEMI: Results of the ST LEUIS Pilot Study

© 2015 Elsevier Inc. All rights reserved.Background 12-lead ECG is a critical component of initial evaluation of cardiac ischemia, but has traditionally been limited to large, dedicated equipment in medical care environments. Smartphones provide a potential alternative platform for the extension of ECG to new care settings and to improve timeliness of care. Objective To gain experience with smartphone electrocardiography prior to designing a larger multicenter study evaluating standard 12-lead ECG compared to smartphone ECG. Methods 6 patients for whom the hospital STEMI protocol was activated were evaluated with traditional 12-lead ECG followed immediately by a smartphone ECG using right (VnR) and left (VnL) limb leads for precordial grounding. The AliveCor™ Heart Monitor was utilized for this study. All tracings were taken prior to catheterization or immediately after revascularization while still in the catheterization laboratory. Results The smartphone ECG had excellent correlation with the gold standard 12-lead ECG in all patients. Four out of six tracings were judged to meet STEMI criteria on both modalities as determined by three experienced cardiologists, and in the remaining two, consensus indicated a non-STEMI ECG diagnosis. No significant difference was noted between VnR and VnL. Conclusions Smartphone based electrocardiography is a promising, developing technology intended to increase availability and speed of electrocardiographic evaluation. This study confirmed the potential of a smartphone ECG for evaluation of acute ischemia and the feasibility of studying this technology further to define the diagnostic accuracy, limitations and appropriate use of this new technology.

Analysis of Bayesian classification-based approaches for Android malware detection

Mobile malware has been growing in scale and complexity spurred by the unabated uptake of smartphones worldwide. Android is fast becoming the most popular mobile platform resulting in sharp increase in malware targeting the platform. Additionally, Android malware is evolving rapidly to evade detection by traditional signature-based scanning. Despite current detection measures in place, timely discovery of new malware is still a critical issue. This calls for novel approaches to mitigate the growing threat of zero-day Android malware. Hence, the authors develop and analyse proactive machine-learning approaches based on Bayesian classification aimed at uncovering unknown Android malware via static analysis. The study, which is based on a large malware sample set of majority of the existing families, demonstrates detection capabilities with high accuracy. Empirical results and comparative analysis are presented offering useful insight towards development of effective static-analytic Bayesian classification-based solutions for detecting unknown Android malware.

Examining the Neurocognitive Validity of Commercially Available, Smartphone-Based Puzzle Games

Cognitive assessment typically involves assessing a person’s cognitive performance in unfamiliar and ar-guably unnatural clinical surroundings. User-centred approaches to assessment and monitoring, driven by issues such as enjoyability and familiarity, are largely absent. Everyday technologies, for example, smartphones represent an opportunity to obtain an objective assessment of a person’s cognitive capabili-ties in a non-threatening, discreet and familiar way, e.g. by everyday puzzle games undertaken as a leisure activity at home. We examined the strength of relationships that exist between performance on common puzzle games and standard measures of neuropsychological performance. Twenty-nine participants, aged 50 - 65 years, completed a comprehensive neuropsychological test battery and played three smart-phone-based puzzle games in triplicate: a picture puzzle [Matches Plus], a word puzzle [Jumbline] and a number puzzle [Sudoku]. As anticipated, a priori, significant correlations were observed between scores on a picture puzzle and visual memory test (r = 0.49; p = 0.007); a word puzzle and estimated verbal IQ (r = 0.53; p = 0.003) and verbal learning (r = 0.30; p = 0.039) tests; and a number puzzle and reason-ing/problem solving test (r = 0.42; p = 0.023). Further analyses making allowance for multiple compari-sons identified a significant unanticipated correlation (r = 0.49; p = 0.007) between number puzzle scores and a measure of nonverbal working memory. Performance on these smartphone-based games was in-dicative of relative cognitive ability across several cognitive domains at a fixed time point. Smart-phone-based, everyday puzzle games may offer a valid, portable measure of assessing and monitoring cognition in older adults.

Android Malware Detection Using Parallel Machine Learning Classifiers

Mobile malware has continued to grow at an alarming rate despite on-going mitigation efforts. This has been much more prevalent on Android due to being an open platform that is rapidly overtaking other competing platforms in the mobile smart devices market. Recently, a new generation of Android malware families has emerged with advanced evasion capabilities which make them much more difficult to detect using conventional methods. This paper proposes and investigates a parallel machine learning based classification approach for early detection of Android malware. Using real malware samples and benign applications, a composite classification model is developed from parallel combination of heterogeneous classifiers. The empirical evaluation of the model under different combination schemes demonstrates its efficacy and potential to improve detection accuracy. More importantly, by utilizing several classifiers with diverse characteristics, their strengths can be harnessed not only for enhanced Android malware detection but also quicker white box analysis by means of the more interpretable constituent classifiers.

Belfast Soundwalks: Experiences in Sound and Place through Locative Media

This article outlines the ongoing development of a locative smartphone app for iPhone and Android phones entitled The Belfast Soundwalks Project. Drawing upon a method known as soundwalking, the aim of this app is to engage the public in sonic art through the creation of up to ten soundwalks within the city of Belfast. This paper discusses the use of GPS enabled mobile devices in the creation of soundwalks in other cities. The authors identify various strategies for articulating an experience of listening in place as mediated by mobile technologies. The project aims to provide a platform for multiple artists to develop site-specific sound works which highlight the relationship between sound, place and community. The development of the app and the app interface are discussed, as are the methods employed to test and evaluate the project.

Android Malware Detection: an Eigenspace Analysis Approach

The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper we propose and evaluate a machine learning based approach based on eigenspace analysis for Android malware detection using features derived from static analysis characterization of Android applications. Empirical evaluation with a dataset of real malware and benign samples show that detection rate of over 96% with a very low false positive rate is achievable using the proposed method.

A utilização de smartphones numa experiência turística em Portugal : estudo sobre a participação nos media sociais através de aplicações para dispositivos móveis

O turismo é uma das maiores indústrias do mundo que gera receitas muito elevadas, sendo uma das principais áreas de atividade económica num número alargado de países e, por isso, torna-se essencial prestar um serviço eficiente e eficaz aproveitando, sempre que possível, as soluções e tendências tecnológicas disponíveis. A utilização dos media sociais através dos smartphones numa experiência turística vai acrescentar valor não só às viagens dos utilizadores como também ao turismo em si, pois há uma troca de experiências e opiniões entre todos os intervenientes. A presente investigação tem por objetivo geral identificar as atividades participativas realizadas por portugueses nos media sociais em smartphones nas diversas fases de uma experiência turística em Portugal, ou seja, no antes, no durante e no depois da mesma. Como hipóteses de investigação admite-se que as atividades realizadas em media sociais, o tipo de media publicado e partilhado da autoria do próprio utilizador e da autoria de terceiros e as aplicações utilizadas em smartphones diferem consoante a fase da experiência turística em que o utilizador se encontra. Assim, tornou-se essencial questionar sobre quais as atividades que são realizadas por portugueses a nível de partilha de informação através de smartphones numa experiência turística em Portugal. Apresenta-se uma análise e reflexão crítica sobre a importância da utilização dos media sociais em smartphones numa experiência turística. Primeiro procedendo-se a uma revisão do estado da arte sobre a problemática da investigação tendo como base os conceitos chave definidos anteriormente, para posteriormente fazer o estudo não só de aplicações portuguesas gratuitas para smartphones que utilizam o sistema operativo Android e que de alguma forma acrescentam valor a uma experiência turística de um utilizador, através de uma grelha de observação, mas, também, o estudo da utilização dos media sociais em smartphones numa experiência turística em Portugal, através de um inquérito por questionário. Um dos objetivos desta investigação é contribuir para o estudo e compreensão das dinâmicas de interação, a nível da partilha de informação, que os utilizadores mais recorrem nas diferentes fases de uma experiência turística e obter indicações, que se esperam úteis, sobre boas práticas e estratégias que podem ser adotadas por entidades turísticas com o objetivo de incluir os media sociais nas suas atividades de marketing e comunicação.

In search of reliable centimeter-level indoor positioning: a smartphone-based approach

This thesis describes the design and implementation of a reliable centimeter-level indoor positioning system fully compatible with a conventional smartphone. The proposed system takes advantage of the smartphone audio I/O and processing capabilities to perform acoustic ranging in the audio band using non-invasive audio signals and it has been developed having in mind applications that require high accuracy, such as augmented reality, virtual reality, gaming and audio guides. The system works in a distributed operation mode, i.e. each smartphone is able to obtain its own position using only acoustic signals. To support the positioning system, a Wireless Sensor Network (WSN) of synchronized acoustic beacons is used. To keep the infrastructure in sync we have developed an Automatic Time Synchronization and Syntonization (ATSS) protocol with a standard deviation of the sync offset error below 1.25 μs. Using an improved Time Difference of Arrival (TDoA) estimation approach (which takes advantage of the beacon signals’ periodicity) and by performing Non-Line-of-Sight (NLoS) mitigation, we were able to obtain very stable and accurate position estimates with an absolute mean error of less than 10 cm in 95% of the cases and a mean standard deviation of 2.2 cm for a position refresh period of 350 ms.

NFC RF Analog Challenge and Enhanced High Speed Transmitter Design

This paper investigates the inherent radio frequency analog challenges associated with near field communication systems. Furthermore, the paper presents a digital based sigma-delta modulator for near field communication transmitter implementations. The proposed digital transmitter architecture is designed to best support data intensive applications requiring higher data rates and complex modulation schemes. An NFC transmitter based on a single-bit sigma-delta DAC is introduced, and then the multi-bit extension with necessary simulation results are presented to confirm the suitability of the architecture for near field communication high speed applications.

O uso do smartphone na avaliação do risco de queda associado ao envelhecimento

Introdução: O declínio do equilíbrio, da força dos membros inferiores e o medo de cair são fatores de risco de queda associados ao envelhecimento e a sua avaliação pode ser realizada pelo teste One Leg Standing (OLS), Sit to Stand (STS) e pela Falls Eficacy Scale (FES), respetivamente. As aplicações para smartphone constituem uma alternativa para a avaliação dos fatores de risco de queda no envelhecimento. Objetivo: Analisar a capacidade de uma aplicação para smartphone na avaliação dos testes STS, OLS e FES. Metodologia: Realizou-se um estudo analítico numa amostra de 27 voluntários com idade ≥ 60 anos. Realizaram-se os testes STS, OLS e a FES (versão iconográfica, apresentada no smartphone). Os dados foram recolhidos simultaneamente por um smartphone e pelo Qualisys Motion Capture Systems associado a uma plataforma de forças. Foi utilizado o r de Pearson ou Spearman para analisar as possíveis correlações. Resultados: No STS obteve-se uma correlação muito forte (rp=0.97) no número de repetições de ciclos Sit Stand Sit (SLS) e forte na duração média do SLS (rp=0.85) e das subfases Sit to Stand (rp=0.69) e Stand to Sit (rp=0.778), com p<0.001. As medidas de inclinação do tronco apresentaram correlações fortes, com exceção do ângulo inicial (p≥0.05). No OLS, verificou-se uma correlação moderada entre o deslocamento do centro de pressão peak to peak médio-lateral (rs=0.45; p=0.017) e antero-posterior (rs=0.39; p=0.046), root mean square médio-lateral (rs=0.39; p=0.046) e antero-posterior (rs=0.46; p=0.017) e área do estatocinesiograma (rs=0.45; p=0.018). Na FES obteve-se uma correlação moderada em três categorias: ‘tomar banho/duche’ (rs=0.49; p=0.010), ‘deitar/levantar da cama (rs=0.43; p=0.024) e ‘chegar aos armários’ (rs=0.38; p=0.050). Conclusão: A aplicação para smartphone parece avaliar corretamente os ciclos e a variação da inclinação do tronco no STS, porém parece necessitar de ser reajustada na FES e na velocidade do deslocamento do centro de pressão, no OLS.

Android as a cloud ticket validator

Trabalho Final de Mestrado para a obtenção do grau de Mestre em Engenharia Informática e de Computadores