Ibiza App

Android programazioaz burututako proiektua da hau. Android-en egindako Ibizako gida daukagu bertan. Honeri esker, erabiltzaile askok euren mugikorrean Ibizari buruz jakin beharreko guztia izango dute.

ExerClick: aplicación móvil para el seguimiento de ejercicios en clase

Se ha implementado la aplicación para el seguimiento de ejercicios en el aula llamada exerClick. Es una aplicación multiplataforma para móviles, evaluada en Android y en iOS y adaptada a esos sistemas gracias a la plataforma Apache Cordova. En su implementación se han utilizado las tecnologías web HTML5, CSS3 y Javascript, además de PHP para el servidor. La aplicación permite que los profesores añadan ejercicios y los alumnos le envíen feedback sobre su realización mediante dos opciones: marcar una duda en el ejercicio o marcar el ejercicio como finalizado.

NFC parking payment system

Este Proyecto Fin de Carrera (PFC) de la Ingeniería Informática (II) se enmarca en otro proyecto de mayor envergadura, cuyo objetivo final es estudiar y desarrollar aplicaciones móviles basadas en Android, que permitan agilizar los pagos de importes bajos, haciendo uso de la tecnología de comunicación inalámbrica, de corto alcance y alta frecuencia (NFC). El proyecto surge de la oportunidad de desarrollar un prototipo de aplicación haciendo uso de una tecnología que apenas se ha empezado a utilizar, que sin embargo las grandes empresas de telecomunicaciones tienen previsto explotar en los próximos años.

Kanpoko kirolentzako LiveTrack sistema baten garapena

GAL honek “wearable device” edo janzteko gailu batetan oinarritutako LiveTrack sistema bat garatzea du helburu. Sistemaren egiturari dagokionez, ondorengo atalak aurreikusten dira: GPSa duen eskumuturrekoa. • Android sistema eragilearentzako aplikazioa. • Aplikazio honek hari gabeko teknologia bitartez eskumuturrekotik GPS datuak aldizka jaso eta datu biltegi batera igoko ditu. • Webgune jarraitzailea. Webgune honek mapa batetan, denbora errealean, ibilbidea jarraitzeko aukera emango du.

Mobilarekin komunikatzen den eskumuturreko erlojuaren disinua eta prototipo baten garapena

GAL honen helburu nagusia Android sistema eragilea daukan telefono mugikor batekin komunikatzen den eskumuturreko erloju baten diseinua eta prototipo baten garapena burutzea da. Prototipoa arduino plataforma irekia erabiliz gauzatuko da. Prototipoak, garatuko den Android aplikazioaren informazioa jaso eta hau bistaratzeko ahalmena izan beharko du.

Efeito dos exercícios resistidos sobre a função endotelial, parâmetros hemodinâmicos e metabólicos, modulação autonômica, biomarcadores inflamatórios, composição corporal e condicionamento físico de adolescentes obesos

Introdução - O exercício aeróbio é considerado uma ferramenta eficaz na redução de fatores de risco cardiometabólico e na melhora da qualidade de vida em adolescentes obesos. No entanto, os benefícios de um programa exclusivo com exercícios resistidos (ER) ainda não foram estabelecidos nesta população. Objetivo - Avaliar o efeito de um programa exclusivo com ER sobre a função endotelial, parâmetros hemodinâmicos e metabólicos, modulação autonômica, biomarcadores inflamatórios, composição corporal e condicionamento físico de adolescentes obesos. Materiais e Métodos - Quarenta adolescentes participaram do estudo e foram divididos em dois grupos de acordo com o nível de adiposidade: grupo controle (C, n = 20; 13 meninos e 7 meninas) e grupo obeso (Ob; n=24; 7 meninos e 17 meninas). O grupo Ob foi submetido a um programa de ER, três vezes por semana, durante três meses. A função endotelial, o perfil metabólico e hemodinâmico, a modulação autonômica, os biomarcadores inflamatórios, a composição corporal e o condicionamento físico foram avaliados antes e ao final da intervenção. Na investigação de nossa hipótese utilizamos: laser-Doppler fluxometria, análises bioquímicas e de células endoteliais circulantes, monitorização da pressão arterial ambulatorial, variabilidade da frequência cardíaca (Polar), densitometria com dupla emissão de raios X, análise de força muscular em aparelho isocinético e teste cardiopulmonar de exercício submáximo em cicloergômetro. Resultados - Após três meses de intervenção exclusiva com ER observamos uma melhora na vasodilatação endotélio-dependente (P<0,05) e uma redução na pressão arterial sistólica (P<0,01), diastólica (P<0,01) e média (P<0,01), independentes de alterações no peso corporal. Adicionalmente, também observamos redução na frequência cardíaca (FC) de repouso (P<0,01), aumento na variabilidade da FC (P<0,01) e na atividade parasimpática (P<0,05). Observamos também redução na circunferência da cintura (P<0,001), na relação cintura/quadril (P<0,001), no percentual de gordura total (P<0,01), troncular (P<0,01) e de distribuição andróide (P<0,01). Os níveis de fibrinogênio (P<0,05), endotelina-1(P<0,05) e de insulina (P<0,01), e o índice HOMA-IR (P<0,05) foram menores após intervenção. Após a intervenção proposta houve redução na incidência de síndrome metabólica (16,6 vs. 0%) nos adolescentes obesos. Além disso, os estes adolescentes aumentaram a força muscular (P<0,05) e reduziram o consumo de oxigênio, a produção de gás carbônico, a ventilação e o dispêndio energético (P <0,01) durante o teste cardiopulmonar de exercício submáximo. Conclusões - Um treinamento exclusivo com ER resultou em benefícios cardiovasculares, metabólicos e na composição corporal e condicionamento físico de adolescentes obesos, independente de alterações no peso corporal. Nossos resultados sugerem que a prática de ER foi capaz de reduzir fatores de risco cardiovascular em adolescentes com obesidade.

Avaliação da função pulmonar em indivíduos obesos ou com sobrepeso e síndrome metabólica antes, três e seis meses após a colocação de balão intragástrico

Neste trabalho, buscou-se avaliar se o uso do balão intragástrico (BI) durante um período de seis meses por pacientes obesos ou com sobrepeso e com síndrome metabólica (SM) traz melhora nos parâmetros de função pulmonar, distribuição da gordura corporal e SM. Trata-se de um estudo longitudinal e intervencionista com indivíduos adultos que foram submetidos à avaliação antropométrica, da bioquímica sérica, dos parâmetros de função pulmonar e do padrão de distribuição da gordura corporal, antes da instalação do BI, durante o acompanhamento de seis meses e após a sua retirada. Nos dados obtidos três meses após a colocação do BI, os pacientes apresentaram aumento da capacidade de difusão ao monóxido de carbono com correlação positiva entre esta e o percentual total de gordura corporal (rs=0,39; p=0,05), o padrão ginoide (rs=0,41; p=0,05) e o padrão torácico (rs=0,42; p=0,01). Também foi observado que, após três meses da colocação do BI, houve redução significativa do índice de massa corpórea (IMC) (p=0,0001) e da força muscular inspiratória (p=0,009). Também houve aumento significativo da capacidade vital forçada (CVF) (p=0,0001), da capacidade pulmonar total (CPT) (p=0,001) e do volume de reserva expiratório (VRE) (p=0,0001). Ao fim do estudo, foi observada elevação estatisticamente significante da CPT (p=0,0001), capacidade residual funcional (p=0,0001), volume residual (VR) (p=0,0005) e VRE (p=0,0001). Também foi observada redução significativa do IMC, cuja mediana passou de 39,1 kg/m2 no início da avaliação para 34,5 kg/m2 no final dos seis meses (p=0,0001). Ao fim do estudo, 31 pacientes (77,5%) não apresentavam mais critérios diagnósticos para SM. Em relação aos parâmetros de distribuição da gordura corporal, também houve mudanças importantes com redução significante (p=0,0001) do percentual de gordura nos quatro padrões analisados (tronco, androide, ginoide e total). Houve correlação significante entre o delta da CPT e o delta da circunferência abdominal (ρ=-0,34; p=0,03), entre o delta da CRF e o delta do IMC (ρ=-0,39; p=0,01) e entre o delta do VRE e os deltas do IMC (ρ=-0,44; p=0,005) e do colesterol HDL (ρ=-0,37; p=0,02). Também houve correlação significante entre o delta do VRE com os deltas das gorduras de tronco (ρ=-0,51; p=0,004), androide (ρ=-0,46; p=0,01), ginoide (ρ=-0,55; p=0,001) e total (ρ=-0,59; p=0,0005).

Dasher

Dasher is an information-efficient text-entry interface, which can be driven by natural continuous pointing gestures or by pressing buttons. Dasher is a competitive text-entry system wherever a full-size keyboard cannot be used - for example, when operating a computer one-handed, by joystick, touchscreen, trackball, or mouse; when operating a computer with zero hands (i.e., by head-mouse or by eyetracker); on a palmtop computer; on a wearable computer. The gazetracking version of Dasher allows an experienced user to write text as fast as normal handwriting - 29 words per minute; using a mouse, experienced users can write at 39 words per minute. Dasher can be used to write efficiently in any language. Dasher is free software (distributed under the GPL) and is available for many computer platforms, including linux, windows, and android.

Evaluation of Setup Procedures on Mobile Devices Based on Users’ Initial Experience

Users’ initial perceptions of their competence are key motivational factors for further use. However, initial tasks on a mobile operating system (OS) require setup procedures, which are currently largely inconsistent, do not provide users with clear, visible and immediate feedback on their actions, and require significant adjustment time for first-time users. This paper reports on a study with ten users, carried out to better understand how both prior experience and initial interaction with two touchscreen mobile interfaces (Apple iOS and Google Android) affected setup task performance and motivation. The results show that the reactions to setup on mobile interfaces appear to be partially dependent on which device was experienced first. Initial experience with lower-complexity devices improves performance on higher-complexity devices, but not vice versa. Based on these results, the paper proposes six guidelines for designers to design more intuitive and motivating user interfaces (UI) for setup procedures. The preliminary results indicate that these guidelines can contribute to the design of more inclusive mobile platforms and further work to validate these findings is proposed.

Design and implementation of robust systems for secure malware detection

Malicious software (malware) have significantly increased in terms of number and effectiveness during the past years. Until 2006, such software were mostly used to disrupt network infrastructures or to show coders’ skills. Nowadays, malware constitute a very important source of economical profit, and are very difficult to detect. Thousands of novel variants are released every day, and modern obfuscation techniques are used to ensure that signature-based anti-malware systems are not able to detect such threats. This tendency has also appeared on mobile devices, with Android being the most targeted platform. To counteract this phenomenon, a lot of approaches have been developed by the scientific community that attempt to increase the resilience of anti-malware systems. Most of these approaches rely on machine learning, and have become very popular also in commercial applications. However, attackers are now knowledgeable about these systems, and have started preparing their countermeasures. This has lead to an arms race between attackers and developers. Novel systems are progressively built to tackle the attacks that get more and more sophisticated. For this reason, a necessity grows for the developers to anticipate the attackers’ moves. This means that defense systems should be built proactively, i.e., by introducing some security design principles in their development. The main goal of this work is showing that such proactive approach can be employed on a number of case studies. To do so, I adopted a global methodology that can be divided in two steps. First, understanding what are the vulnerabilities of current state-of-the-art systems (this anticipates the attacker’s moves). Then, developing novel systems that are robust to these attacks, or suggesting research guidelines with which current systems can be improved. This work presents two main case studies, concerning the detection of PDF and Android malware. The idea is showing that a proactive approach can be applied both on the X86 and mobile world. The contributions provided on this two case studies are multifolded. With respect to PDF files, I first develop novel attacks that can empirically and optimally evade current state-of-the-art detectors. Then, I propose possible solutions with which it is possible to increase the robustness of such detectors against known and novel attacks. With respect to the Android case study, I first show how current signature-based tools and academically developed systems are weak against empirical obfuscation attacks, which can be easily employed without particular knowledge of the targeted systems. Then, I examine a possible strategy to build a machine learning detector that is robust against both empirical obfuscation and optimal attacks. Finally, I will show how proactive approaches can be also employed to develop systems that are not aimed at detecting malware, such as mobile fingerprinting systems. In particular, I propose a methodology to build a powerful mobile fingerprinting system, and examine possible attacks with which users might be able to evade it, thus preserving their privacy. To provide the aforementioned contributions, I co-developed (with the cooperation of the researchers at PRALab and Ruhr-Universität Bochum) various systems: a library to perform optimal attacks against machine learning systems (AdversariaLib), a framework for automatically obfuscating Android applications, a system to the robust detection of Javascript malware inside PDF files (LuxOR), a robust machine learning system to the detection of Android malware, and a system to fingerprint mobile devices. I also contributed to develop Android PRAGuard, a dataset containing a lot of empirical obfuscation attacks against the Android platform. Finally, I entirely developed Slayer NEO, an evolution of a previous system to the detection of PDF malware. The results attained by using the aforementioned tools show that it is possible to proactively build systems that predict possible evasion attacks. This suggests that a proactive approach is crucial to build systems that provide concrete security against general and evasion attacks.

But consciousness isn't everything.

Comments on an article entitled `No Good News for DATA,' by Norman Lillegard in the Spring 1994 issue of `Cross Currents' magazine. Lillegard's stand that the android Commander Data in `Star Trek' fails to satisfy the biblical conception of persons; Lillegard's presentation of models that espouse functionalist theories of mind; Views of the essence of the human person.

A cycle route planner mobile-app for Dublin city

In a road network, cyclists are the group exposed to the maximum amount of risk. Route choice of a cyclist is often based on level of expertise, perceived or actual road risks, personal decisions, weather conditions and a number of other factors. Consequently, cycling tends to be the only significant travel mode where optimised route choice is not based on least-path or least-time. This paper presents an Android platform based mobile-app for personalised route planning of cyclists in Dublin. The mobile-app, apart from its immediate advantage to the cyclists, acts as the departure point for a number of research projects and aids in establishing some critical calibration values for the cycling network in Dublin. 

Introducing Automated Management Through Iteratively Increased Automation and Indicators

Introducing automation into a managed environment includes significant initial overhead and abstraction, creating a disconnect between the administrator and the system. In order to facilitate the transition to automated management, this paper proposes an approach whereby automation increases gradually, gathering data from the task deployment process. This stored data is analysed to determine the task outcome status and can then be used for comparison against future deployments of the same task and alerting the administrator to deviations from the expected outcome. Using a machinelearning
approach, the automation tool can learn from the administrator's reaction to task failures and eventually react to faults autonomously.

A review of ADP processing software

Data processing is an essential part of Acoustic Doppler Profiler (ADP) surveys, which have become the standard tool in assessing flow characteristics at tidal power development sites. In most cases, further processing beyond the capabilities of the manufacturer provided software tools is required. These additional tasks are often implemented by every user in mathematical toolboxes like MATLAB, Octave or Python. This requires the transfer of the data from one system to another and thus increases the possibility of errors. The application of dedicated tools for visualisation of flow or geographic data is also often beneficial and a wide range of tools are freely available, though again problems arise from the necessity of transferring the data. Furthermore, almost exclusively PCs are supported directly by the ADP manufacturers, whereas small computing solutions like tablet computers, often running Android or Linux operating systems, seem better suited for online monitoring or data acquisition in field conditions. While many manufacturers offer support for developers, any solution is limited to a single device of a single manufacturer. A common data format for all ADP data would allow development of applications and quicker distribution of new post processing methodologies across the industry.