On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework

The astonishing development of diverse and different hardware platforms is twofold: on one side, the challenge for the exascale performance for big data processing and management; on the other side, the mobile and embedded devices for data collection and human machine interaction. This drove to a highly hierarchical evolution of programming models. GVirtuS is the general virtualization system developed in 2009 and firstly introduced in 2010 enabling a completely transparent layer among GPUs and VMs. This paper shows the latest achievements and developments of GVirtuS, now supporting CUDA 6.5, memory management and scheduling. Thanks to the new and improved remoting capabilities, GVirtus now enables GPU sharing among physical and virtual machines based on x86 and ARM CPUs on local workstations,computing clusters and distributed cloud appliances.

Towards a threat assessment framework for apps collusion

App collusion refers to two or more apps working together to achieve a malicious goal that they otherwise would not be able to achieve individually. The permissions based security model (PBSM) for Android does not address this threat, as it is rather limited to mitigating risks due to individual apps. This paper presents a technique for assessing the threat of collusion for apps, which is a first step towards quantifying collusion risk, and allows us to narrow down to candidate apps for collusion, which is critical given the high volume of Android apps available. We present our empirical analysis using a classified corpus of over 29000 Android apps provided by Intel Security.

Dynalog: an automated dynamic analysis framework for characterizing android applications

Android is becoming ubiquitous and currently has the largest share of the mobile OS market with billions of application downloads from the official app market. It has also become the platform most targeted by mobile malware that are becoming more sophisticated to evade state-of-the-art detection approaches. Many Android malware families employ obfuscation techniques in order to avoid detection and this may defeat static analysis based approaches. Dynamic analysis on the other hand may be used to overcome this limitation. Hence in this paper we propose DynaLog, a dynamic analysis based framework for characterizing Android applications. The framework provides the capability to analyse the behaviour of applications based on an extensive number of dynamic features. It provides an automated platform for mass analysis and characterization of apps that is useful for quickly identifying and isolating malicious applications. The DynaLog framework leverages existing open source tools to extract and log high level behaviours, API calls, and critical events that can be used to explore the characteristics of an application, thus providing an extensible dynamic analysis platform for detecting Android malware. DynaLog is evaluated using real malware samples and clean applications demonstrating its capabilities for effective analysis and detection of malicious applications.

Pose estimation of a humanoid robot using images from a mobile external camera

NOGUEIRA, Marcelo B. ; MEDEIROS, Adelardo A. D. ; ALSINA, Pablo J. Pose Estimation of a Humanoid Robot Using Images from an Mobile Extern Camera. In: IFAC WORKSHOP ON MULTIVEHICLE SYSTEMS, 2006, Salvador, BA. Anais... Salvador: MVS 2006, 2006.

Eldi: an agent based museum robot

[EN]In this paper we will present Eldi, a mobile robot that has been in daily operation at the Elder Museum of Science and Technology at Las Palmas de Gran Canaria since December 1999. This is an ongoing project that was organized in three di erent stages, describing here the one that has been accomplished. The initial phase, termed \The Player", the second stage, actually under development, has been called "The Cicerone" and in a nal phase, termed \The Vagabond", Eldi will be allowed to move erratically across the Museum. This paper will focus on the accomplished rst stage to succinctly describe the physical robot and the environment and demos developed. Finally we will summarize some important lessons learnt.

A Relação entre Mindfulness, Auto-Compaixão, Vergonha e Psicopatologia em Praticantes e Não Praticantes de Meditação/Yoga

O estudo do mindfulness tem sido alvo de um crescente interesse no domínio da Psicologia, pela sua importância no aumento de bem-estar e redução de sintomatologia psicopatológica. Os estudos realizados acerca da forma como o mindfulness assume um papel preponderante no bem-estar psicológico dos indivíduos, tendo por base um conjunto de competências ou aptidões que podem ser aprendidas e praticadas, favorece uma melhoria da saúde e do bem-estar dos indivíduos. Deste modo, com o objectivo de contribuir para o conhecimento da relação entre mindfulness, auto-compaixão, vergonha e psicopatologia em praticantes e não praticantes de meditação/yoga, realizou-se um conjunto de estudos numa amostra constituída por 121 sujeitos, em que 53 integram uma população praticante de meditação/yoga e 68 pertencem à população geral não praticante de meditação/yoga. Os resultados revelam que indivíduos praticantes de meditação/yoga registam valores significativamente mais elevados nas facetas observar e não reagir da escala de mindfulness. Por sua vez, sujeitos com maiores índices de traço de mindfulness apresentam níveis mais baixos de vergonha externa e interna. Para além disto, indivíduos com elevado traço de mindfulness distinguem-se significativamente dos indivíduos com baixo traço de mindfulness ao apresentarem níveis mais elevados de auto-compaixão e níveis mais baixos de depressão, ansiedade e stress. / The study of mindfulness has been the target of a growing interest in the field of psychology because of its importance in increasing welfare and lessening of psychopathological symptoms. Studies on how mindfulness plays a central role in psychological well-being of individuals, based on a set of competencies or skills that can be learned and practiced, promotes improved health and well-being of individuals. Thus, in order to contribute to the knowledge of the relationship between mindfulness, self-pity, shame and psychopathology in non-practitioners and practitioners of meditation / yoga, it was held a series of studies on a sample of 121 subjects, in which 53 were part of a population practicing meditation / yoga and 68 belong to the general population not practicing meditation / yoga. The results show that individuals who practice meditation / yoga recorded significantly higher values in the watch and not react aspects of mindfulness scale. In turn, subjects with higher trait mindfulness have lower levels of external and internal shame. In addition, individuals with higher trait mindfulness differ significantly from individuals with low trait mindfulness of the present higher levels of self-pity and lower levels of depression, anxiety and stress.