A Comparison of Geo-tagging in Mobile Internet Browsing Applications on iOS and Android.

Nowadays there is almost no crime committed without a trace of digital evidence, and since the advanced functionality of mobile devices today can be exploited to assist in crime, the need for mobile forensics is imperative. Many of the mobile applications available today, including internet browsers, will request the user’s permission to access their current location when in use. This geolocation data is subsequently stored and managed by that application's underlying database files. If recovered from a device during a forensic investigation, such GPS evidence and track points could hold major evidentiary value for a case. The aim of this paper is to examine and compare to what extent geolocation data is available from the iOS and Android operating systems. We focus particularly on geolocation data recovered from internet browsing applications, comparing the native Safari and Browser apps with Google Chrome, downloaded on to both platforms. All browsers were used over a period of several days at various locations to generate comparable test data for analysis. Results show considerable differences not only in the storage locations and formats, but also in the amount of geolocation data stored by different browsers and on different operating systems.

Desenvolvimento de protótipo de aplicativo móvel em Android® para o controle e acompanhamento nutricional da saúde óssea em mulheres menopáusicas

Following a drop in estrogen in the period of menopause some women begin to lose bone mass more than 1% per year reaching the end of five years with loss greater than 25%. In this regard, factors such as older age, low calcium intake and premature menopause favor the onset of osteoporosis. Preventive methods such as nutritional counseling to a proper diet and the support of technology through applications that assess dietary intake are essential. Thus, this study aimed to develop an application for Android® platform focused on the evaluation of nutritional and organic conditions involved in bone health and risks for developing osteoporosis in postmenopausal women. To achieve this goal we proceeded to a study of 72 women aged 46-79 years, from the physical exercise for bone health of the Laboratory for Research in Biochemistry and Densitometry the Federal Technological University of Paraná program. Data were collected in the second half of 2014 through tests Bone Densitometry and Body Composition, Blood Tests, Anthropometric data and Nutrition Assessment. The study included women with a current diagnosis of osteopenia or osteoporosis primary, aged more than 45 years postmenopausal. For the assessment of bone mineral density and body composition used the device Absorptiometry Dual Energy X-ray (DXA) brand Hologic Discovery TM Model A. For anthropometric assessment was included to body mass, height, abdominal circumference, Waist circumference and hip circumference. The instrument for assessing food consumption was used Recall 24 hours a day (24HR). The estimated intake of energy and nutrients was carried from the tabulation of the food eaten in the Software Diet Pro 4®. In a sub sample of 30 women with osteopenia / osteoporosis serum calcium and alkaline phosphatase tests were performed. The results demonstrated a group of women (n = 30) average calcium intake of 570mg / day (± 340). The analysis showed a mean serum calcium within the normal range (10,20mg / dl ± 0.32) and average values and slightly increased alkaline phosphatase (105.40 U / L ± 23.70). Furthermore, there was a significant correlation between the consumption of protein and the optimal daily intake of calcium (0.375 p-value 0.05). Based on these findings, we developed an application early stage in Android® platform operating system Google®, being called OsteoNutri. We chose to use Java Eclipse® where it was executed Android® version of the project; choice of application icons and setting the visual editor for building the application layouts. The DroidDraw® was used for development of the three application GUIs. For practical tests we used a cell compatible with the version that was created (4.4 or higher). The prototype was developed in conjunction with the Group and Instrumentation Applications Development (GDAI) of the Federal Technological University of Paraná. So this application can be considered an important tool in dietary control, allowing closer control consumption of calcium and dietary proteins.

Teleoperación de un robot móvil mediante dispositivos Android

Resumen: En el siguiente trabajo se aborda un problema para solventar la comunicación con los robots del departamento MAPIR de la Universidad de Málaga, anteriormente sólo podían ser teleoperados mediante comandos escritos en Skype, así que se procede a diseñar un cliente móvil para Android que nos permite conectarse en tiempo real a un robot, obtener la imagen de lo que su cámara capta y además permitir su teleoperación. Por su parte, el robot corre un servidor que administra esos datos al cliente para trabajar conjuntamente. Dicho trabajo se desarrolla haciendo uso de nuevas tecnologias y protocolos como es WebRTC (de Google) para el intercambio de imágenes y del lado del servidor, se ha usado NodeJS.

Control y procesamiento de vídeo en cámaras IP desde una plataforma Android

La aplicación Control Camera IP, desarrolla como Proyecto Fin de Carrera en la ETS. De Ingeniería Informática de la Universidad de Málaga, fue concebida como una interfaz de usuario para la monitorización y control de cámaras IP de forma remota, pudiendo ésta ejecutarse en diferentes plataformas, incluyendo dispositivos móviles con sistemas Android. En aquel momento sin embargo, las plataformas Android no disponían de una librería oficial dentro del marco de la herramienta de desarrollo utilizada (la biblioteca de desarrollo multiplataforma Qt), por lo que fue utilizada una versión alternativa no oficial denominada Necessitas Qt for Android. Hoy, con la versión 5 de Qt, existe la posibilidad de dar soporte a las plataformas Android de forma oficial, por lo que es posible adaptar la aplicación a esta nueva versión. En este Trabajo Fin de Grado, se ha adaptado la aplicación Control Camera IP a la versión 5 de Qt, logrando así crear plataformas para dispositivos Android de forma oficial. Además, se hace uso de la biblioteca OpenCV para el desarrollo de varios métodos de procesamiento sobre la imagen recibida por la cámara IP, así como algoritmos de detección de movimiento y de caras de personas, haciendo uso de técnicas de visión por computador. Finalmente, se introduce la posibilidad de utilizar APIs estandarizadas para la conectividad de la aplicación con cámaras IP de bajo coste, adaptando algunas de sus funciones a la aplicación Control Camera IP.

MAIS(F) : Moodle : Android : interface simplificado para utilização de fóruns

É crescente a utilização dos dispositivos móveis com ecrãs maiores e melhores, mais memória, maiores capacidades multimédia e métodos mais refinados para introduzir dados. Dispositivos que integram comunicações, acesso à internet e diversos tipos de sensores possibilitarão, seguramente, abordagens inovadoras e criativas em atividades pedagógicas, em contraste com as utilizações atuais nos computadores pessoais. A análise das aplicações que atualmente integram os módulos do Moodle nos dispositivos móveis mostra que existe ainda um longo caminho a percorrer. As aplicações existentes têm, quase na sua totalidade, como objetivo adaptar o interface aos dispositivos móveis, o que é apenas o primeiro passo no sentido de aproveitar todas as potencialidades destes dispositivos. É, pois, possível imaginar um futuro próximo, onde as potencialidades dos dispositivos móveis darão origem a aplicações com um enorme potencial de aprendizagem, que advém do facto de os estudantes encontrarem conexões entre as suas vidas e a sua educação, através da realização de atividades em contexto no dispositivo móvel, sempre omnipresente. Com este trabalho de investigação e desenvolvimento pretende-se: a) avaliar o estado da arte do mobile learning, na área dos Learning Management System (LMS); b) refletir sobre as funcionalidades que deve oferecer uma aplicação para dispositivos móveis, com enfoque no sistema operativo Android, que permita a gestão e atualização dos fóruns e ficheiros do Moodle; c) conceber e produzir a referida aplicação, de acordo com as especificações consideradas relevantes; d) avaliar o seu impacto educativo e funcional. É demonstrado neste estudo que o recurso a dispositivos móveis potencia a aprendizagem baseada em LMS (Learning Management System), identificando-se as vantagens da sua utilização. São também apresentadas as funcionalidades da aplicação Mais(f), desenvolvida no âmbito da investigação, a avaliação da mesma pelos participantes no estudo, bem como as perspectivas futuras de utilização da aplicação Mais(f).

Shadedpath : aplicación Android para calcular rutas peatonales con mínima exposición solar

El trabajo de fin de grado consiste en realizar una aplicación móvil basada en Android [7]. Para calcular la ruta más sombreada desde un punto de origen a un punto de destino. Dicha aplicación móvil realizará peticiones a un servidor que estará ejecutando un programa que realizará el cálculo de rutas conforme a los parámetros que elegirá el usuario desde su móvil. Estos parámetros pueden ser: la hora de partida, la fecha y la importancia de la sombra a la hora de calcular la ruta. Siempre podremos elegir entre una ruta más corta o una más sombreada, según la importancia que le quiera dar el usuario. La lógica de la aplicación del lado del servidor que realiza el cálculo está basada en Open- TripPlanner, el cual usa algoritmos de búsqueda para encontrar el camino más corto. Sirviéndonos de dicho algoritmo realizaremos las modificaciones e implementaciones necesarias para calcular la ruta más sombreada.

Sistema de interpretação de informações do solo para tomada de decisão estratégica na produção de mandioca no Amazonas.

Foi desenvolvido um aplicativo para smartphone com sistema operacional Google Android para agricultores e técnicos especialistas, com o objetivo de interpretar a análise química do solo, sistematizar o processo e recomendar o balanço nutricional do solo para produção de mandioca por meio de técnicas de aprendizado de máquina.

Herramienta para mejorar la afinación vocal en Android

In this paper, a tool to improve vocal tuning in Android devices is presented. This application aims to offer exercises to practice and improve singing skills. The designed tool includes two main functionalities: sound synthesis, to provide with singing sound references, and fundamental frequency analysis, to analize the sound and check if the user sings the right musical note. The well-known Yin algorithm has been selected to perform the fundamental frequency analysis. Three different singing exercises are included: sing single notes, sing intervals and sing a note in order to complete a chord. The system also includes a graphical interface in which musical notation is employed to write down the singing sound. The system has been evaluated in order to test out its correct performance regarding both the analysis and synthesis of musical sounds.

Music Learning Tools for Android Devices

In this paper, a musical learning application for mobile devices is presented. The main objective is to design and develop an application capable of offering exercises to practice and improve a selection of music skills, to users interested in music learning and training. The selected music skills are rhythm, melodic dictation and singing. The application includes an audio signal analysis system implemented making use of the Goertzel algorithm which is employed in singing exercises to check if the user sings the right musical note. This application also includes a graphical interface to represent musical symbols. A set of tests were conducted to check the usefulness of the application as musical learning tool. A group of users with different music knowledge have tested the system and reported to have found it effective, easy and accessible.

Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?

BACKGROUND: There has been a recent proliferation in the development of smartphone applications (apps) aimed at modifying various health behaviours. While interventions that incorporate behaviour change techniques (BCTs) have been associated with greater effectiveness, it is not clear to what extent smartphone apps incorporate such techniques. The purpose of this study was to investigate the presence of BCTs in physical activity and dietary apps and determine how reliably the taxonomy checklist can be used to identify BCTs in smartphone apps.

METHODS: The top-20 paid and top-20 free physical activity and/or dietary behaviour apps from the New Zealand Apple App Store Health & Fitness category were downloaded to an iPhone. Four independent raters user-tested and coded each app for the presence/absence of BCTs using the taxonomy of behaviour change techniques (26 BCTs in total). The number of BCTs included in the 40 apps was calculated. Krippendorff's alpha was used to evaluate interrater reliability for each of the 26 BCTs.

RESULTS: Apps included an average of 8.1 (range 2-18) techniques, the number being slightly higher for paid (M = 9.7, range 2-18) than free apps (M = 6.6, range 3-14). The most frequently included BCTs were "provide instruction" (83% of the apps), "set graded tasks" (70%), and "prompt self-monitoring" (60%). Techniques such as "teach to use prompts/cues", "agree on behavioural contract", "relapse prevention" and "time management" were not present in the apps reviewed. Interrater reliability coefficients ranged from 0.1 to 0.9 (Mean 0.6, SD = 0.2).

CONCLUSIONS: Presence of BCTs varied by app type and price; however, BCTs associated with increased intervention effectiveness were in general more common in paid apps. The taxonomy checklist can be used by independent raters to reliably identify BCTs in physical activity and dietary behaviour smartphone apps.

Measuring physical activity in a cardiac rehabilitation population using a smartphone-based questionnaire

BACKGROUND: Questionnaires are commonly used to assess physical activity in large population-based studies because of their low cost and convenience. Many self-report physical activity questionnaires have been shown to be valid and reliable measures, but they are subject to measurement errors and misreporting, often due to lengthy recall periods. Mobile phones offer a novel approach to measure self-reported physical activity on a daily basis and offer real-time data collection with the potential to enhance recall.

OBJECTIVE: The aims of this study were to determine the convergent validity of a mobile phone physical activity (MobilePAL) questionnaire against accelerometry in people with cardiovascular disease (CVD), and to compare how the MobilePAL questionnaire performed compared with the commonly used self-recall International Physical Activity Questionnaire (IPAQ).

METHODS: Thirty adults aged 49 to 85 years with CVD were recruited from a local exercise-based cardiac rehabilitation clinic in Auckland, New Zealand. All participants completed a demographics questionnaire and underwent a 6-minute walk test at the first visit. Subsequently, participants were temporarily provided a smartphone (with the MobilePAL questionnaire preloaded that asked 2 questions daily) and an accelerometer, which was to be worn for 7 days. After 1 week, a follow-up visit was completed during which the smartphone and accelerometer were returned, and participants completed the IPAQ.

RESULTS: Average daily physical activity level measured using the MobilePAL questionnaire showed moderate correlation (r=.45; P=.01) with daily activity counts per minute (Acc_CPM) and estimated metabolic equivalents (MET) (r=.45; P=.01) measured using the accelerometer. Both MobilePAL (beta=.42; P=.008) and age (beta=-.48, P=.002) were significantly associated with Acc_CPM (adjusted R(2)=.40). When IPAQ-derived energy expenditure, measured in MET-minutes per week (IPAQ_met), was considered in the predicted model, both IPAQ_met (beta=.51; P=.001) and age (beta=-.36; P=.016) made unique contributions (adjusted R(2)=.47, F2,27=13.58; P<.001).There was also a significant association between the MobilePAL and IPAQ measures (r=.49, beta=.51; P=.007).

CONCLUSIONS: A mobile phone-delivered questionnaire is a relatively reliable and valid measure of physical activity in a CVD cohort. Reliability and validity measures in the present study are comparable to existing self-report measures. Given their ubiquitous use, mobile phones may be an effective method for physical activity surveillance data collection.

A school-based intervention incorporating smartphone technology to improve health-related fitness among adolescents : rationale and study protocol for the NEAT and ATLAS 2.0 cluster randomised controlled trial and dissemination study

INTRODUCTION: Physical inactivity has been described as a global pandemic. Interventions aimed at developing skills in lifelong physical activities may provide the foundation for an active lifestyle into adulthood. In general, school-based physical activity interventions targeting adolescents have produced modest results and few have been designed to be 'scaled-up' and disseminated. This study aims to: (1) assess the effectiveness of two physical activity promotion programmes (ie, NEAT and ATLAS) that have been modified for scalability; and (2) evaluate the dissemination of these programmes throughout government funded secondary schools. METHODS AND ANALYSIS: The study will be conducted in two phases. In the first phase (cluster randomised controlled trial), 16 schools will be randomly allocated to the intervention or a usual care control condition. In the second phase, the Reach, Effectiveness, Adoption, Implementation and Maintenance (Re-AIM) framework will be used to guide the design and evaluation of programme dissemination throughout New South Wales (NSW), Australia. In both phases, teachers will be trained to deliver the NEAT and ATLAS programmes, which will include: (1) interactive student seminars; (2) structured physical activity programmes; (3) lunch-time fitness sessions; and (4) web-based smartphone apps. In the cluster RCT, study outcomes will be assessed at baseline, 6 months (primary end point) and 12-months. Muscular fitness will be the primary outcome and secondary outcomes will include: objectively measured body composition, cardiorespiratory fitness, flexibility, resistance training skill competency, physical activity, self-reported recreational screen-time, sleep, sugar-sweetened beverage and junk food snack consumption, self-esteem and well-being.

Taming transitive permission attack via bytecode rewriting on Android application

Google Android is popular for mobile devices in recent years. The openness and popularity of Android make it a primary target for malware. Even though Android's security mechanisms could defend most malware, its permission model is vulnerable to transitive permission attack, a type of privilege escalation attacks. Many approaches have been proposed to detect this attack by modifying the Android OS. However, the Android's fragmentation problem and requiring rooting Android device hinder those approaches large-scale adoption. In this paper, we present an instrumentation framework, called SEAPP, for Android applications (or “apps”) to detect the transitive permission attack on unmodified Android. SEAPP automatically rewrites an app without requiring its source codes and produces a security-harden app. At runtime, call-chains are built among these apps and detection process is executed before a privileged API is invoked. Our experimental results show that SEAPP could work on a large number of benign apps from the official Android market and malicious apps, with a repackaged success rate of over 99.8%. We also show that our framework effectively tracks call-chains among apps and detects known transitive permission attack with low overhead. Copyright © 2016 John Wiley & Sons, Ltd.

Implementazione e analisi di algoritmi dinamici per trasmissione MPEG-DASH su client Android

Attualmente, la maggior parte dei dati che transitano sulla rete appartiene a contenuti multimediali. Più nello specifico, è lo Streaming Video ad avere la predominanza nella condivisione di Internet; vista la crescita che tale servizio ha subìto negli ultimi anni, si sono susseguiti diversi studi volti allo sviluppo di tecniche e metodologie che potessero migliorarlo. Una di queste è sicuramente l'Adaptive Video Streaming, tecnica utilizzata per garantire all'utente una buona Quality of Experience (QoE) mediante l'utilizzo dei cosiddetti "algoritmi di rate adaptation". Il lavoro svolto in questi studi si è voluto concentrare su due filoni distinti, ma allo stesso tempo confrontabili: la prima parte della tesi riguarda lo sviluppo e l'analisi di alcuni algoritmi di rate adaptation per DASH, mentre la seconda è relativa all'implementazione di un nuovo algoritmo che li possa affiancare, migliorando la QoE nel monitorare lo stato della connessione. Si è quindi dovuta implementare un'applicazione Android per lo streaming video, che fosse conforme allo standard MPEG-DASH e potesse fornire le informazioni di testing da utilizzare per le analisi. La tesi è suddivisa in quattro capitoli: il primo introduce l'argomento e definisce la terminologia necessaria alla comprensione degli studi; il secondo descrive alcuni dei lavori correlati allo streaming adattivo e introduce i due filoni principali della tesi, ovvero gli algoritmi di rate adaptation e la proposta di algoritmo per la selezione dinamica del segmento; il terzo presenta l'app SSDash, utilizzata come mezzo per le analisi sperimentali; infine, il quarto ed ultimo capitolo mostra i risultati delle analisi e le corrispondenti valutazioni.