Abstract

Abstract
This paper proposes a framework for the creation of interactive multimedia applications that take advantage of detected features from user-captured photos. The goal is to create games, architectural and space planning applications that interact with visual elements in the images such as walls, floors and empty spaces. The framework takes advantage of a semi-automatic algorithm to detect scene elements and camera parameters. Using the detected features, virtual objects can be inserted in the scene. In this paper several example applications are presented and discussed, and the reliability of the detection algorithm is compared with other systems. The presented solution analyses the photos using graph-cuts for segmentation, vanishing point detection and line analysis to detect the scene elements. The main advantage of the proposed framework is the semi-automatic creation of the tri-dimensional model to be used in mixed reality applications. This enables scenarios where the user can be responsible for the input scene without much prior knowledge or experience. The current implemented examples include a furniture positioning system and a snake game with a user-built maze in the real world. The proposed system is ideal for multimedia mobile applications where interaction is combined with the back camera of the device.

Abstract

Abstract
The feasibility of the MicroGrid (MG) concept, as the pathway for integrating Electric Vehicles (EV) and other Distributed energy Resources (DER), has been the focus of several research projects around the world. However, developments have been mainly demonstrated through numerical simulation. Regarding effective smart grid deployment, strong effort is required in demonstration activities, addressing the feasibility of innovative control solutions and the need of specific communication requirements. Therefore, the main objective of this paper is to provide an integrated overview of the laboratorial infrastructure under development at INESC Porto, where it will be possible to conceptualize, implement and test the performance of new control and management concepts for Smart Grid cells. The laboratorial infrastructure integrates two experimental MG, including advanced prototypes for power conditioning units to be used in micro generation applications, batteries for energy storage and a fully controlled bidirectional power converter. Preliminary experimental results and organization of the infrastructure are presented.

Abstract
The aim of this study was to compare by sex, physical activity, and academic qualifications the symptomatology of depression among elders. The sample consisted of 140 elderly, 70 elements were male and 70 female, aged over 62 years. The instruments used to assess the dependent variables were the Scale of Moderate to Vigorous Physical Activity, the Beck Depressive Inventory and the State-Trait Anxiety Inventory. Significant gender effects were obtained demonstrating that those who practiced physical activity had lower rates of depression and anxiety. Comparisons showed that women had higher values than men. At the level of educational attainment it was found that individuals with lower level of education tended to have higher values for both depression and anxiety. Finally, a significant correlation was identified between physical activity, depression and anxiety, and for trait anxiety, however this correlation was not statistically significant. It was concluded that physical activity is associated with lower levels of depression and anxiety.

Abstract
Traffic Sampling is a crucial step towards scalable network measurements, enclosing manifold challenges. The wide variety of foreseeable sampling scenarios demands for a modular view of sampling components and features, grounded on a consistent architecture. Articulating the measurement scope, the required information model and the adequate sampling strategy is a major design issue for achieving an encompassing and efficient sampling solution. This is the main focus of the present work, where a layered architecture, a taxonomy of existing sampling techniques distinguishing their inner characteristics and a flexible framework able to combine these characteristics are introduced. In addition, a new multiadaptive technique proposal, based on linear prediction, allows to reduce the measurement overhead significantly, while assuring that traffic samples reflect the statistical behavior of the global traffic under analysis.