Entropy Analysis of Industrial Accident Data Series

Complex industrial plants exhibit multiple interactions among smaller parts and with human operators. Failure in one part can propagate across subsystem boundaries causing a serious disaster. This paper analyzes the industrial accident data series in the perspective of dynamical systems. First, we process real world data and show that the statistics of the number of fatalities reveal features that are well described by power law (PL) distributions. For early years, the data reveal double PL behavior, while, for more recent time periods, a single PL fits better into the experimental data. Second, we analyze the entropy of the data series statistics over time. Third, we use the Kullback–Leibler divergence to compare the empirical data and multidimensional scaling (MDS) techniques for data analysis and visualization. Entropy-based analysis is adopted to assess complexity, having the advantage of yielding a single parameter to express relationships between the data. The classical and the generalized (fractional) entropy and Kullback–Leibler divergence are used. The generalized measures allow a clear identification of patterns embedded in the data.

Feature Extraction in Densely Sensed Environments: Extensions to Multiple Broadcast Domains

The vision of the Internet of Things (IoT) includes large and dense deployment of interconnected smart sensing and monitoring devices. This vast deployment necessitates collection and processing of large volume of measurement data. However, collecting all the measured data from individual devices on such a scale may be impractical and time consuming. Moreover, processing these measurements requires complex algorithms to extract useful information. Thus, it becomes imperative to devise distributed information processing mechanisms that identify application-specific features in a timely manner and with a low overhead. In this article, we present a feature extraction mechanism for dense networks that takes advantage of dominance-based medium access control (MAC) protocols to (i) efficiently obtain global extrema of the sensed quantities, (ii) extract local extrema, and (iii) detect the boundaries of events, by using simple transforms that nodes employ on their local data. We extend our results for a large dense network with multiple broadcast domains (MBD). We discuss and compare two approaches for addressing the challenges with MBD and we show through extensive evaluations that our proposed distributed MBD approach is fast and efficient at retrieving the most valuable measurements, independent of the number sensor nodes in the network.

Crowdsourcing innovation: a strategy to leverage enterprise innovation

Innovation is recognized by academics and practitioners as an essential competitive enabler for any company to survive, to remain competitive and to grow. Investments in tasks of R&D have not always brought the expected results. But that doesn't mean that the outcomes would not be useful to other companies of the same business area or even from another area. Thus, there is much knowledge already available in the market that can be helpful to some and profitable to others. So, the ideas and expertise can be found outside a company's boundaries and also exported from within. Information, knowledge, experience, wisdom is already available in the millions of the human beings of this planet, the challenge is to use them through a network to produce new ideas and tips that can be useful to a company with less costs. This was the reason for the emergence of the area of crowdsourcing innovation. Crowdsourcing innovation is a way of using the Web 2.0 tools to generate new ideas through the heterogeneous knowledge available in the global network of individuals highly qualified and with easy access to information and technology. So, a crowdsourcing innovation broker is an organization that mediates the communication and relationship between the seekers - companies that aspire to solve some problem or to take advantage of any business opportunity - with a crowd that is prone to give ideas based on their knowledge, experience and wisdom. This paper makes a literature review on models of open innovation, crowdsourcing innovation, and technology and knowledge intermediaries, and discusses this new phenomenon as a way to leverage the innovation capacity of enterprises. Finally, the paper outlines a research design agendafor explaining crowdsourcing innovation brokering phenomenon, exploiting its players, main functions, value creation process, and knowledge creation in order to define a knowledge metamodel of such intermediaries.

Crowdsourcing innovation: a proposal for a brokering architecture focused in the innovation needs of SMEs

Crowdsourcing is evolving into powerful outsourcing options for organizations by providing access to the intellectual capital within a vast knowledge community. Innovation brokering services have emerged to facilitate crowdsourcing projects by connecting up companies with potential solution providers within the wider ‘crowd’. Most existing innovation brokering services are primarily aimed at larger organizations, however, Small and Medium Enterprises (SMEs) offer considerable potential for crowdsourcing activity since they are typically the innovation and employment engines in society; they are typically more nimble and responsive to the business environment than the larger companies. SMEs have very different challenges and needs to larger organizations since they have fewer resources, a more limited knowledge and skill base, and immature management practices. Consequently, innovation brokering for SMEs require considerably more support than for larger organizations. This paper identifies the crowdsourcing innovation brokerage facilities needed by SMEs, and presents an architecture that encourages knowledge sharing, development of community, support in mixing and matching capabilities, and management of stakeholders’ risks. Innovation brokering is emerging as a novel business model that is challenging concepts of the traditional value chain and organizational boundaries.

Marketing educacional: perceções e promoção da imagem de uma escola privada

A presente investigação incide sobre as perceções que alunos, pais, professores e público em geral têm sobre uma escola privada quanto à sua imagem e qualidade do serviço prestado. Traçando fronteiras, marcando distâncias ou assinalando caminhos comuns, pretende-se articular conceitos e ferramentas intrínsecas à área do marketing com a esfera do âmbito educacional. A pesquisa centrou-se num estudo de caso, tendo-se optado por uma análise dentro do paradigma qualitativo-interpretativo.

Manipulação de resultados

Dissertação de Mestrado apresentado ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação de Doutora Alcina de Sena Portugal Dias Esta versão contém as críticas e sugestões de elementos do júri

A Avaliação Imobiliária e a sua relação com o Investimento

O presente relatório visa cumprir os requisitos da unidade curricular Dissertação, Projeto ou Estágio (DIPRE) do mestrado em Engenharia Civil do Instituto Superior de Engenharia do Porto (ISEP). O estágio curricular decorreu na empresa VPM - Vaz Pinto Mendes - Unipessoal Lda, sob o tema: “A avaliação imobiliária e a sua relação com o investimento”. A avaliação imobiliária visa determinar o valor associado aos bens imóveis. Pode ser aplicada a todo o tipo de bens imóveis, tais como: apartamentos e moradias uni e multifamiliares, espaços comerciais e de serviços, quintas, unidades hoteleiras e industriais, complexos desportivos, entre outros. A avaliação imobiliária poderá ser solicitada por parte de proprietários ou arrendatários dos imóveis, por empresas, tribunais, advogados e solicitadores. Apresenta diversos fins, tais como a determinação do valor de indemnização devido a expropriações, o financiamento hipotecário para compra ou construção de imóveis, partilhas, estudo de um investimento financeiro, intenção de venda ou arrendamento, efeitos fiscais ou apenas o simples conhecimento do valor aproximado das propriedades que se possui. O presente estudo visa abordar o atual mercado imobiliário nacional, o procedimento de realização de uma avaliação imobiliária e principalmente os métodos de avaliação tradicionais.