Viabilidade da utilização do Google Earth na construção de mapas de setores urbanos para fins censitários.

A história dos Censos no Brasil mostra que a preocupação com a componente territorial em levantamentos estatísticos, surgiu no recenseamento de 1940, quando, pela primeira vez, o IBGE procurou retratar aspectos da realidade geográfica, de interesse para a operação de coleta, em bases cartográficas, uma tarefa complexa devido à grande extensão do território brasileiro e principalmente no que se refere à qualidade do material cartográfico disponível à época. Atualmente crescem as demandas em nosso país, por informações cada vez mais detalhadas e geograficamente posicionadas. Governadores e prefeitos, órgãos de planejamento municipais e estaduais, investidos de maior autonomia e de novas responsabilidades após a Constituição de 1988, dependem hoje como nunca dos censos para definirem suas políticas públicas, com base em informações atualizadas sobre a população sob suas jurisdições. Entretanto, as demandas por informações agregadas à posição também vêm de outras esferas, que vão do setor não-governamental e privado ao governo federal, fazendo com que muito aumentasse a relevância dos censos e por conseqüência os resultados das pesquisas. Para atender a grande demanda, o IBGE vem continuamente aperfeiçoando o que denominamos de Base Territorial, que é um sistema integrado de informações de natureza geográfica e alfanumérica e se constitui no principal requisito para a garantia da adequada cobertura das operações de levantamento censitário. Face a este novo cenário, o IBGE iniciou a elaboração de mapas da base territorial em meio digital, durante as ações preparatórias para o Censo 2000, se deparando com as dificuldades de integração das áreas urbanas e rurais e a baixa qualidade dos insumos de mapeamento em escala cadastral, disponível nas áreas menos desenvolvidas, pois a Instituição não é produtora de mapeamento em escala cadastral. A metodologia proposta visa melhorar a qualidade dos Mapas de Setores Urbanos MSU, com a utilização de imagens Google Earth, a partir software MicroStation 95, periféricos e aplicativos de conversão disponíveis no IBGE, com o estabelecimento de uma nova rotina de trabalho para produção e substituição dos mapas de setores urbanos, de forma a garantir uma maior representatividade territorial dos dados estatísticos para divulgação.

Uso de imagens históricas no aplicativo Google Earth para avaliação de mapas temáticos.

2010

Usando o Google Earth para publicar dados proprietários.

Geography markup language - GML. Keyhole markup language - KML. Google earth. Google earth client.

Towards a situation-awareness-driven design of operational business intelligence & analytics systems

With the swamping and timeliness of data in the organizational context, the decision maker’s choice of an appropriate decision alternative in a given situation is defied. In particular, operational actors are facing the challenge to meet business-critical decisions in a short time and at high frequency. The construct of Situation Awareness (SA) has been established in cognitive psychology as a valid basis for understanding the behavior and decision making of human beings in complex and dynamic systems. SA gives decision makers the possibility to make informed, time-critical decisions and thereby improve the performance of the respective business process. This research paper leverages SA as starting point for a design science project for Operational Business Intelligence and Analytics systems and suggests a first version of design principles.

Making sense of game based user data: learning analytics in applied games

Digital learning games are useful educational tools with high motivational potential. With the application of games for instruction there comes the need of acknowledging learning game experiences also in the context of educational assessment. Learning analytics provides new opportunities for supporting assessment in and of educational games. We give an overview of current learning analytics methods in this field and reflect on existing challenges. An approach of providing reusable software assets for interaction assessment and evaluation in games is presented. This is part of a broader initiative of making available advanced methodologies and tools for supporting applied game development.

"Google News" y el impacto de la Ley de Propiedad Intelectual en la prensa: un nuevo amanecer para la información

2015 se recordará como el gran año del cambio en los medios de comunicación, especialmente para la prensa. A lo largo del mismo se ha llevado a cabo una enconada lucha entre los editores y Google News, a la que se han sumado Yahoo News, Facebook, LinkedIn, Twitter, etc., para determinar quién debe pagar por los contenidos, quién los creará, quién los distribuirá y quién y cómo los leerá. Nuevos pactos para nuevos lectores. Nuevos acuerdos para reflotar económicamente la prensa. Y todo ello bajo el paraguas de la Ley de Propiedad Intelectual en España y otras similares que se irán publicando o adaptando en Europa. Se ofrece un estudio y análisis de la situación previa al establecimiento de dicha ley y las consecuencias de su aplicación.

Organizational and financial transparency in the website of the foundations: an empirical study for Spain

Transparency in nonprofit sector and foundations, as an element to enhance the confidence of stakeholders in the organization, is a fact shown by several studies in recent decades. Transparency can be considered in various fields and through different channels. In our study we focused on the analysis of the organizational and economic transparency of foundations, shown through the voluntary information on their Website. We review the theoretical previous studies published to put to the foundations within the framework of the social economy. This theoretical framework has focused on accountability that make foundations in relation to its social function and its management, especially since the most recent focus of information transparency across the Website.In this theoretical framework was made an index to quantify the voluntary information which is shown on its website. This index has been developed ad hoc for this study and applied to a group of large corporate foundations.With the application of these data are obtained two kind of results, to a descriptive level and to a inferential level.We analyzed the statistical correlation between economic transparency and organizational transparency offered in the Website through quantified variables by a multiple linear regression. This empirical analysis allows us to draw conclusions about the level of transparency offered by these organizations in relation to their organizational and financial information, as well as explain the relation between them.

A Visual Analytics Framework for Strategic Airlift Decision Making

The foundational concept of Network Enabled Capability relies on effective, timely information sharing. This information is used in analysis, trade and scenario studies, and ultimately decision-making. In this paper, the concept of visual analytics is explored as an enabler to facilitate rapid, defensible, and superior decision-making. By coupling analytical reasoning with the exceptional human capability to rapidly internalize and understand visual data, visual analytics allows individual and collaborative decision-making to occur in the face of vast and disparate data, time pressures, and uncertainty. An example visual analytics framework is presented in the form of a decision-making environment centered on the Lockheed C-5A and C-5M aircraft. This environment allows rapid trade studies to be conducted on design, logistics, and capability within the aircraft?s operational roles. Through this example, the use of a visual analytics decision-making environment within a military environment is demonstrated.

Repackaging Prostate Cancer Support Group Research Findings: An e-KT Case Study

n the context of psychosocial oncology research, disseminating study findings to a range of knowledge “end-users” can advance the well-being of diverse patient subgroups and their families. This article details how findings drawn from a study of prostate cancer support groups were repackaged in a knowledge translation website—www.prostatecancerhelpyourself.ubc.ca—using Web 2.0 features. Detailed are five lessons learned from developing the website: the importance of pitching a winning but feasible idea, keeping a focus on interactivity and minimizing text, negotiating with the supplier, building in formal pretests or a pilot test with end-users, and completing formative evaluations based on data collected through Google™ and YouTube™ Analytics. The details are shared to guide the e-knowledge translation efforts of other psychosocial oncology researchers and clinicians.

NanoStreams: Advancing the Hardware and Software Stack for Real-Time Analytics on Fast Data Streams

NanoStreams is a consortium project funded by the European Commission under its FP7 programme and is a major effort to address the challenges of processing vast amounts of data in real-time, with a markedly lower carbon footprint than the state of the art. The project addresses both the energy challenge and the high-performance required by emerging applications in real-time streaming data analytics. NanoStreams achieves this goal by designing and building disruptive micro-server solutions incorporating real-silicon prototype micro-servers based on System-on-Chip and reconfigurable hardware technologies.

On the Viability of Microservers for Financial Analytics

Energy consumption and total cost of ownership are daunting challenges for Datacenters, because they scale disproportionately with performance. Datacenters running financial analytics may incur extremely high operational costs in order to meet performance and latency requirements of their hosted applications. Recently, ARM-based microservers have emerged as a viable alternative to high-end servers, promising scalable performance via scale-out approaches and low energy consumption. In this paper, we investigate the viability of ARM-based microservers for option pricing, using the Monte Carlo and Binomial Tree kernels. We compare an ARM-based microserver against a state-of-the-art x86 server. We define application-related but platform-independent energy and performance metrics to compare those platforms fairly in the context of datacenters for financial analytics and give insight on the particular requirements of option pricing. Our experiments show that through scaling out energyefficient compute nodes within a 2U rack-mounted unit, an ARM-based microserver consumes as little as about 60% of the energy per option pricing compared to an x86 server, despite having significantly slower cores. We also find that the ARM microserver scales enough to meet a high fraction of market throughput demand, while consuming up to 30% less energy than an Intel server