Abstract
Quotations from financial leaders can have significant influence upon the immediate prospects of economic actors. Indiscreet or candid comments from senior business leaders have had detrimental effects upon their organizations. Established polarity classification techniques perform poorly when classifying quotations because they display a number of complex linguistic features and lack of training data. The proposed strategy segments the quotations by inferred "opinion maker" role and then applies individual polarity classification strategies to each group of the segmented quotations. This strategy demonstrates a clear advantage over applying classical classification techniques to the whole corpus of quotations. While modelling contextual information with Random Forests based on a vector of unigrams plus the "opinion maker role" reaches a maximum F-measure of 52.85%, understanding the "bias" of the quotation maker previously based on its lexical usage allows 86.23% F-measure for "unbiased" quotations and 71.10% F-measure for "biased" quotations with the Naive Bayes classifier.

Abstract
This paper introduces symbolic data analysis, explaining how it extends the classical data models to take into account more complete and complex information. Several examples motivate the approach, before the modeling of variables assuming new types of realizations are formally presented. Some methods for the (multivariate) analysis of symbolic data are presented and discussed. This is however far from being exhaustive, given the present dynamic development of this new field of research. Copyright © 2011 Wiley Periodicals, Inc., A Wiley Company.

Abstract
Biodiversity information can be found in diverse information systems, ranging from large technical repositories for research purposes to dedicated databases supporting the web presence of natural sites. To deal with individual botanical objects, it is important to adopt the established scientific taxonomy. Providing a satisfying experience with current interface devices is also mandatory. Two problems have been addressed in this work: the unique identification of the objects and the representation of their physical location. The former has been tackled with QR code, a two-dimensional barcode standard, and the latter with the use of a PostgreSQL/PostGIS spatial database. The paper describes the development and test of a Web information system integrating physical identification and geo-referencing. The application in biodiversity information management shows that low-cost, state-of-the-art technologies can provide appropriate solutions even for small- and medium-sized natural sites, incorporating existing scientific information on species and contributing for a growing record of their occurrences. The system was tested on a university garden and can be used by site maintainers, visitors and researchers. The dataset collected in the site can be exported according to the Darwin Core biodiversity standard for research purposes.

Abstract
Embedded Systems permeate all aspects of our daily life, from the ubiquitous mobile devices (e.g., PDAs and smart-phones) to play-stations. set-top boxes, household appliances, and in every electronic system, be it large or small (e.g., in cars. wrist-watches). Most embedded systems are characterized by stringent design constraints such as reduced memory and computing capacity, severe power and energy restrictions, weight and space limitations, most importantly, very short life spans and thus strict design cycles. Reconfiguration has emerged as a key technology for embedded systems as it offers the promise of increased system performance and component number reduction. Reconfigurable components can be customized or specialized (even dynamically) to the task at hand, thereby executing specific tasks more efficiently leading to possible reductions of the weight and power. In this article, we introduce and discuss compilation techniques for reconfigurable embedded systems. We present specific compiler techniques focusing on source-level code transformations highlighting their potential and the applicability of generative programming techniques to this compilation domain.

Abstract
In this paper it is presented a new robot competition that is going to be included in Robotica 2011, the main Robotics Portuguese Competition. The robot competition takes place in an emulated factory plant, where Automatic Guided Vehicles (AGVs) must cooperate to perform tasks. To accomplish their goals the AGVs must deal with localization, navigation, scheduling and cooperation problems, that must be solved autonomously. One option of prototyping the AGVs is the use of the Lego Mindstorms NXT technology. The presented example can play an important role in education due to the inherent multi-disciplinary concepts that are involved, motivating students to technological areas. It also plays an important role in research and development, because it is expected that the outcomes that will emerge here, will later be transfered to other application areas, such as service robots and manufacturing. © 2011 IFAC.

Abstract
This paper presents an original forecasting methodology for achieving the spatiotemporal future long-term expansion of small power photovoltaic (PV) systems in a region, taking into account the population density, ground usage and the type of small PV power application adopted. This methodology comprises three stages: a first stage based on a suitable PV technological forecasting method with a group of experts; a second stage consisting of an innovative and iterative process based on elimination of the possible numerical inconsistencies achieved in the first stage; a third stage with a new method for achieving PV power density maps, using a geographical information system (GIS), that provides significant quantitative GIS information and visual and geographically-disaggregated representation of future small power PV systems expansion. The proposed methodology is illustrated with a real example for the region of La Rioja, Spain. In this example, four different combinations of PV systems and geographical zones were considered, and they are referred to as four "PV technologies" in the paper. The forecasted period range was 20 years with steps of 5 years. The results offer very valuable information for electric utilities, PV systems sales and installation agents, investors and regional authorities responsible for energy plans.