Centro de gesti��n de notificaciones Push para dispositivos m��viles basados en IOS y Android

En esta memoria se presenta el proyecto de fin de carrera ���Centro de gesti��n de notificaciones Push para dispositivos m��viles basados en IOS y Android���, cuyo objetivo es crear una herramienta web, de libre distribuci��n, que permita gestionar, programar y realizar env��os de notificaciones Push para aplicaciones m��viles que funcionen bajo entornos IOS (Apple) y Android.

JonBike. Aplicaci��n Android para bicicletas basada en geolocalizaci��n

En este Proyecto Fin de Carrera se ha realizado el dise��o y la implementaci��n de la aplicaci��n JonBike. Tiene como objetivo mejorar y optimizar el seguimiento de los entrenamientos de los ciclistas. El desarrollo se ha realizado en un marco de integraci��n y colaboraci��n directa de los usuarios en el proyecto, partiendo de un Producto M��nimo Viable o "Minimum Viable Product" (MVP) inicial e integrando su feedback en la progresiva ampliaci��n de las caracter��sticas del servicio. El sistema est�� compuesto por una aplicaci��n m��vil nativa para Android y una fuente de datos alojada en un servidor remoto. En implementaci��n se han utilizado tecnolog��as emergentes, todas de c��digo abierto: MongoDB junto con MongoLab para el almacenamiento de datos y plataforma base para el backend, y desarrollando como cliente, una aplicaci��n Android nativa.

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 s��, es decir, hacen uso de la tecnolog��a PTT (Push-to-talk). Es una comunicaci��n unidireccional de un usuario a muchos, de manera que pueden transmitir la informaci��n necesaria a varios usuarios simult��neamente. Por otra parte, la comunicaci��n mediante esta tecnolog��a hace posible que sea en tiempo real sin pr��cticamente ning��n retraso. Sin embargo el uso de esta forma de comunicaci��n trae consigo algunos inconvenientes. Por ejemplo, los dispositivos tienen un rango de alcance de transmisi��n-recepci��n limitado. Adem��s la banda de frecuencia para poder comunicarse debe ser reservada a fin de evitar posibles problemas de comunicaci��n debido a que el canal estuviera ocupado por otros usuarios, posibles interferencias, etc. La reserva de este rango de frecuencia, supone un coste a��adido para el uso de esta tecnolog��a. Con el desarrollo de las redes m��viles que ofrecen grandes velocidades de transmisi��n, se hace posible el uso de la tecnolog��a PTT mediante la red m��vil existente. De esta manera, surge el siguiente proyecto de desarrollo de una aplicaci��n m��vil Android, como cliente que haga uso de la tecnolog��a PTT sobre la red m��vil PoC (Push-to-talk Over Cellular).

mHealth and global mental health: still waiting for the mH2 wedding?

BACKGROUND: Two phenomena have become increasingly visible over the past decade: the significant global burden of disease arising from mental illness and the rapid acceleration of mobile phone usage in poorer countries. Mental ill-health accounts for a significant proportion of global disability-adjusted life years (DALYs) and years lived with disability (YLDs), especially in poorer countries where a number of factors combine to exacerbate issues of undertreatment. Yet poorer countries have also witnessed significant investments in, and dramatic expansions of, mobile coverage and usage over the past decade. DEBATE: The conjunction of high levels of mental illness and high levels of mobile phone usage in poorer countries highlights the potential for "mH(2)" interventions--i.e. mHealth (mobile technology-based) mental health interventions--to tackle global mental health challenges. However, global mental health movements and initiatives have yet to engage fully with this potential, partly because of scepticism towards technological solutions in general and partly because existing mH(2) projects in mental health have often taken place in a fragmented, narrowly-focused, and small-scale manner. We argue for a deeper and more sustained engagement with mobile phone technology in the global mental health context, and outline the possible shape of an integrated mH(2) platform for the diagnosis, treatment, and monitoring of mental health. SUMMARY: Existing and developing mH(2) technologies represent an underutilised resource in global mental health. If development, evaluation, and implementation challenges are overcome, an integrated mH2 platform would make significant contributions to mental healthcare in multiple settings and contexts.

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 utiliza����o de smartphones numa experi��ncia tur��stica em Portugal : estudo sobre a participa����o nos media sociais atrav��s de aplica����es para dispositivos m��veis

O turismo �� uma das maiores ind��strias do mundo que gera receitas muito elevadas, sendo uma das principais ��reas de atividade econ��mica num n��mero alargado de pa��ses e, por isso, torna-se essencial prestar um servi��o eficiente e eficaz aproveitando, sempre que poss��vel, as solu����es e tend��ncias tecnol��gicas dispon��veis. A utiliza����o dos media sociais atrav��s dos smartphones numa experi��ncia tur��stica vai acrescentar valor n��o s�� ��s viagens dos utilizadores como tamb��m ao turismo em si, pois h�� uma troca de experi��ncias e opini��es entre todos os intervenientes. A presente investiga����o tem por objetivo geral identificar as atividades participativas realizadas por portugueses nos media sociais em smartphones nas diversas fases de uma experi��ncia tur��stica em Portugal, ou seja, no antes, no durante e no depois da mesma. Como hip��teses de investiga����o admite-se que as atividades realizadas em media sociais, o tipo de media publicado e partilhado da autoria do pr��prio utilizador e da autoria de terceiros e as aplica����es utilizadas em smartphones diferem consoante a fase da experi��ncia tur��stica em que o utilizador se encontra. Assim, tornou-se essencial questionar sobre quais as atividades que s��o realizadas por portugueses a n��vel de partilha de informa����o atrav��s de smartphones numa experi��ncia tur��stica em Portugal. Apresenta-se uma an��lise e reflex��o cr��tica sobre a import��ncia da utiliza����o dos media sociais em smartphones numa experi��ncia tur��stica. Primeiro procedendo-se a uma revis��o do estado da arte sobre a problem��tica da investiga����o tendo como base os conceitos chave definidos anteriormente, para posteriormente fazer o estudo n��o s�� de aplica����es portuguesas gratuitas para smartphones que utilizam o sistema operativo Android e que de alguma forma acrescentam valor a uma experi��ncia tur��stica de um utilizador, atrav��s de uma grelha de observa����o, mas, tamb��m, o estudo da utiliza����o dos media sociais em smartphones numa experi��ncia tur��stica em Portugal, atrav��s de um inqu��rito por question��rio. Um dos objetivos desta investiga����o �� contribuir para o estudo e compreens��o das din��micas de intera����o, a n��vel da partilha de informa����o, que os utilizadores mais recorrem nas diferentes fases de uma experi��ncia tur��stica e obter indica����es, que se esperam ��teis, sobre boas pr��ticas e estrat��gias que podem ser adotadas por entidades tur��sticas com o objetivo de incluir os media sociais nas suas atividades de marketing e comunica����o.

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 ��s. 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.

O uso do smartphone na avalia����o do risco de queda associado ao envelhecimento

Introdu����o: O decl��nio do equil��brio, da for��a dos membros inferiores e o medo de cair s��o fatores de risco de queda associados ao envelhecimento e a sua avalia����o pode ser realizada pelo teste One Leg Standing (OLS), Sit to Stand (STS) e pela Falls Eficacy Scale (FES), respetivamente. As aplica����es para smartphone constituem uma alternativa para a avalia����o dos fatores de risco de queda no envelhecimento. Objetivo: Analisar a capacidade de uma aplica����o para smartphone na avalia����o dos testes STS, OLS e FES. Metodologia: Realizou-se um estudo anal��tico numa amostra de 27 volunt��rios com idade ��� 60 anos. Realizaram-se os testes STS, OLS e a FES (vers��o iconogr��fica, apresentada no smartphone). Os dados foram recolhidos simultaneamente por um smartphone e pelo Qualisys Motion Capture Systems associado a uma plataforma de for��as. Foi utilizado o r de Pearson ou Spearman para analisar as poss��veis correla����es. Resultados: No STS obteve-se uma correla����o muito forte (rp=0.97) no n��mero de repeti����es de ciclos Sit Stand Sit (SLS) e forte na dura����o m��dia 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 inclina����o do tronco apresentaram correla����es fortes, com exce����o do ��ngulo inicial (p���0.05). No OLS, verificou-se uma correla����o moderada entre o deslocamento do centro de press��o peak to peak m��dio-lateral (rs=0.45; p=0.017) e antero-posterior (rs=0.39; p=0.046), root mean square m��dio-lateral (rs=0.39; p=0.046) e antero-posterior (rs=0.46; p=0.017) e ��rea do estatocinesiograma (rs=0.45; p=0.018). Na FES obteve-se uma correla����o moderada em tr��s categorias: ���tomar banho/duche��� (rs=0.49; p=0.010), ���deitar/levantar da cama (rs=0.43; p=0.024) e ���chegar aos arm��rios��� (rs=0.38; p=0.050). Conclus��o: A aplica����o para smartphone parece avaliar corretamente os ciclos e a varia����o da inclina����o do tronco no STS, por��m parece necessitar de ser reajustada na FES e na velocidade do deslocamento do centro de press��o, no OLS.

Android as a cloud ticket validator

Trabalho Final de Mestrado para a obten����o do grau de Mestre em Engenharia Inform��tica e de Computadores