882 resultados para Knowledge based system


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The following topics are dealt with: Requirements engineering; components; design; formal specification analysis; education; model checking; human computer interaction; software design and architecture; formal methods and components; software maintenance; software process; formal methods and design; server-based applications; review and testing; measurement; documentation; management and knowledge-based approaches.

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As Inteligências Emocionais (IEs) têm sido objeto de estudo e discussão nos últimos quinze anos. Todavia, escassos são os estudos científicos, sobremaneira no campo da educação, voltados para o entendimento dos desafios e possibilidades das IEs no cenário do ensino superior. O modelo newtoniano-cartesiano, assumido por setores dominantes de nossa cultura de forma racionalista e reducionista, vem se estabelecendo desde tempos remotos, mais especificamente a partir do século XVI, avançando até os tempos atuais e trazendo muitas marcas para os diferentes campos da cultura ocidental, inclusive para a educação. Como características deste modelo, passíveis de crítica, estão a fragmentação do conhecimento, o foco na especialização e, a instituição de uma relação pedagógica dominadora e não dialogal que negligencia as múltiplas inteligências desenvolvidas e presentes nos indivíduos. Essas características contribuíram para o estabelecimento de uma sociedade de conhecimentos parcelares, para a disjunção entre sujeito e objeto, o descuido nas relações do homem para consigo mesmo, dele para com os demais homens e, dele para com os demais seres vivos que cohabitam o planeta, culminando numa intensa crise planetária. Urge discutir e rever o paradigma newtoniano-cartesiano, dado ao fato de que os resultados colhidos nestes últimos quinhentos anos, se por um lado nos beneficiaram do ponto de vista científico e tecnológico, não mais respondem aos problemas e necessidades com os quais nos deparamos, de modo especial na educação. Delimito esta pesquisa no âmbito do Ensino Superior e, no interior deste, no campo dos estudos de graduação em Administração. As perguntas que motivam o meu trabalho são: 1. Os professores do Curso de Administração consideram as dimensões emocionais em seu trabalho docente? 2. Eles sabem o que são IEs? 3. Que dificuldades eles vêem para desenvolver um trabalho com as dimensões emocionais? 4. Eles vêem possibilidades positivas no trabalho com as IEs? 5. Que pistas as respostas às perguntas acima sugerem à formação continuada de professores no campo da Administração? 6. Ao planejar e organizar suas aulas o professor tem vista o trabalho com a dimensão afetiva? Para fazer a crítica da educação construída na perspectiva newtoniano-cartesiana assumi como referências principais Morin (1995, 2000), Santos (1988) e Moraes (1997). Para estudar a construção do conhecimento considerando as IEs tomei como referências para esta pesquisa Gardner (1995), Izquierdo (2002) e Valle (2003). Foi realizada uma pesquisa de campo com seis (6) professores de um Curso de Administração, mediante um questionário estruturado. O objetivo desta pesquisa foi identificar as principais dificuldades dos docentes quando se pensa num trabalho pedagógico sensível às inteligências emocionais e, estudando estas dificuldades à luz dos teóricos por mim trazidos, construírem possíveis pistas para uma ação formativa, na perspectiva da formação continuada, que considere também o determinante das inteligências emocionais.(AU)

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O presente estudo buscou a compreensão dos motivos que levam as empresas pesquisadas do setor automobilístico a gerir o conhecimento tácito, mediados pela gestão do conhecimento, na área de gestão de desenvolvimento de produtos. As questões de pesquisa que este estudo objetivou responder foram: Como empresas estudadas utilizam o conhecimento tácito para se tornarem mais eficientes e eficazes nas atividades/ operações? De que forma o conhecimento tácito é percebido na organização por parte dos funcionários e gestores? Para responder a estas perguntas houve a investigação de duas empresas do setor automobilístico, na área de desenvolvimento de produtos. Como base teórica para o desenvolvimento do presente estudo autores como Davenport e Prusak (1998), Nonaka e Takeuchi (1997) e Choo (2006) orientam esta pesquisa. A pesquisa abrange duas empresas do ramo automobilístico na região do ABC Paulista, com equivalência no número de funcionários e porte. Dentre os entrevistados há funcionários e gestores de áreas de gestão de projetos e produtos. A metodologia aplicada ao estudo foi de caráter qualitativo por meio de pesquisa exploratória-descritiva, sendo que o método de coleta de dados se deu a partir de entrevistas semiestruturadas. O estudo investigou quais as práticas usadas para a conversão do conhecimento, fatores facilitadores e fatores dificultadores para a conversão do conhecimento e as principais contribuições da aplicação das práticas e iniciativas voltadas gerir o conhecimento tácito, sob a ótica dos gestores e funcionários. Através do presente estudo pode-se verificar que existe a preocupação com a gestão do conhecimento nas empresas estudadas e que há práticas diversas relativas ao conhecimento tácito e que as formas de disseminação deste conhecimento são distintas. Algumas das práticas são os cursos de especialização, brainstorming e lesson learned e conversas informais. Nos fatores facilitadores há a troca de informação entre os pares, reuniões semanais, equipes multidisciplinares/ multifuncionais. Nos fatores dificultadores há a indicação de questões comportamentais, acúmulo de funções e tempo para partilhar informações.

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A pesquisa teve como objetivo geral analisar as principais razões pelas quais as empresas públicas paulistas utilizam coaching e mentoring como práticas de compartilhamento de conhecimento. No ano de 2009, foi instituído pelo governador do Estado de São Paulo, o decreto nº 53.963 que instituiu a Política de Gestão do Conhecimento e Inovação para as empresas públicas. Kuniyoshi e Santos (2007) realizaram uma pesquisa, na qual identificaram práticas e iniciativas de gestão do conhecimento adotadas por algumas empresas, dentre elas, coaching e mentoring. As práticas são processos que necessitam de investimento não somente financeiro, mas de tempo e pessoas adequadas, por serem processos mais complexos, instigam a investigação de ações no contexto organizacional de empresas públicas. Este estudo busca contribuir para o desenvolvimento de estudos na área pública. O método utilizado neste estudo de abordagem qualitativa é do tipo exploratória. O objeto desta pesquisa foram as empresas públicas paulistas, que, atualmente, somam 21. Foi realizado estudo de caso, com entrevista e análise documental em duas destas empresas, A Sabesp, empresa do segmento de saneamento de água e esgoto, teve como objetivo analisar a prática de coaching e, o Instituto de Pesquisa Tecnológicas (IPT), referência nacional em metrologia, teve como objetivo analisar a prática de mentoring. Uma vez que não existem práticas exclusivas à Gestão do Conhecimento, e o sucesso de uma prática está relacionado ao contexto na qual está inserida. No caso da Sabesp, a prática de coaching é utilizada como uma das atividades dentro de dois programas, visando desenvolver o capital humano como força competitiva. O IPT teve como objetivo da aplicação do programa de mentoring, especificamente, o compartilhar conhecimento tácito. Foi constatado que as práticas de coaching e mentoring podem ser utilizadas como recurso capaz de tornar a empresa singular perante as demais, mesmo empresas públicas não tendo foco em competitividade, mas utilizam o conhecimento de forma estratégica para melhorar a qualidade de atendimento à sociedade.

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The evolutionarily conserved apical determinant Crumbs (Crb) is essential for maintaining apicobasal polarity and integrity of many epithelial tissues [1]. Crb levels are crucial for cell polarity and homeostasis, yet strikingly little is known about its trafficking or the mechanism of its apical localization. Using a newly established, liposome-based system described here, we determined Crb to be an interaction partner and cargo of the retromer complex. Retromer is essential for the retrograde transport of numerous transmembrane proteins from endosomes to the trans-Golgi network (TGN) and is conserved between plants, fungi, and animals [2]. We show that loss of retromer function results in a substantial reduction of Crb in Drosophila larvae, wing discs, and the follicle epithelium. Moreover, loss of retromer phenocopies loss of crb by preventing apical localization of key polarity molecules, such as atypical protein kinase C (aPKC) and Par6 in the follicular epithelium, an effect that can be rescued by overexpression of Crb. Additionally, loss of retromer results in multilayering of the follicular epithelium, indicating that epithelial integrity is severely compromised. Our data reveal a mechanism for Crb trafficking by retromer that is vital for maintaining Crb levels and localization. We also show a novel function for retromer in maintaining epithelial cell polarity.

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The aim of this study is to examine the relationship between momentum profitability and the stock market trading mechanism and is motivated by recent changes to the trading systems that have taken place on the London Stock Exchange. Since 1975 the London stock market has employed three different trading systems: a floor based system, a computerized dealer system called SEAQ and the automated auction system SETS. Since each new trading system has reduced the level of execution costs, one might expect, a priori, the magnitude of momentum profits to decline with each amendment to the trading system. However, the opposite empirical result is found showing that shares trading on the automated system generate higher momentum profits than those trading on the floor system and companies trading on the SETS system display greater momentum profitability than those trading on SEAQ. Our empirical results concur with the theoretical findings of the trader’s hesitation model of Du [Du, J., 2002. Heterogeneity in investor confidence and asset market under- and overreaction. Working paper] and the empirical findings of Arena et al. [Arena, M., Haggard, S., Yan, X., Price momentum and idiosyncratic volatility. Financial Review, in press].

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This is the first paper to examine the microstructure of the Irish Stock Market empirically and is motivated by the adoption, on June 7th of Xetra the modern pan European auction trading system. Prior to this the exchange utilized an antiquated floor based system. This change was an important event for the market as a rich literature exists to suggest that the trading system exerts a strong influence over the behavior of security returns. We apply the ICSS algorithm of Inclan and Tiao (1994) to discover whether the change to the trading system caused a shift in unconditional volatility at the time Xetra was introduced. Because the trading mechanism can influence volatility in a number of ways we also estimate the partial adjustment coefficients of the Amihud and Mendelson (1987) model prior and subsequent to the introduction of Xetra. Although we find no evidence of volatility changes associated with the introduction of Xetra we do find evidence of an increase in the speed of adjustment (JEL: G15).

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Machine breakdowns are one of the main sources of disruption and throughput fluctuation in highly automated production facilities. One element in reducing this disruption is ensuring that the maintenance team responds correctly to machine failures. It is, however, difficult to determine the current practice employed by the maintenance team, let alone suggest improvements to it. 'Knowledge based improvement' is a methodology that aims to address this issue, by (a) eliciting knowledge on current practice, (b) evaluating that practice and (c) looking for improvements. The methodology, based on visual interactive simulation and artificial intelligence methods, and its application to a Ford engine assembly facility are described. Copyright © 2002 Society of Automotive Engineers, Inc.

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Modelling human interaction and decision-making within a simulation presents a particular challenge. This paper describes a methodology that is being developed known as 'knowledge based improvement'. The purpose of this methodology is to elicit decision-making strategies via a simulation model and to represent them using artificial intelligence techniques. Further to this, having identified an individual's decision-making strategy, the methodology aims to look for improvements in decision-making. The methodology is being tested on unplanned maintenance operations at a Ford engine assembly plant

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Recent discussion of the knowledge-based economy draws increasingly attention to the role that the creation and management of knowledge plays in economic development. Development of human capital, the principal mechanism for knowledge creation and management, becomes a central issue for policy-makers and practitioners at the regional, as well as national, level. Facing competition both within and across nations, regional policy-makers view human capital development as a key to strengthening the positions of their economies in the global market. Against this background, the aim of this study is to go some way towards answering the question of whether, and how, investment in education and vocational training at regional level provides these territorial units with comparative advantages. The study reviews literature in economics and economic geography on economic growth (Chapter 2). In growth model literature, human capital has gained increased recognition as a key production factor along with physical capital and labour. Although leaving technical progress as an exogenous factor, neoclassical Solow-Swan models have improved their estimates through the inclusion of human capital. In contrast, endogenous growth models place investment in research at centre stage in accounting for technical progress. As a result, they often focus upon research workers, who embody high-order human capital, as a key variable in their framework. An issue of discussion is how human capital facilitates economic growth: is it the level of its stock or its accumulation that influences the rate of growth? In addition, these economic models are criticised in economic geography literature for their failure to consider spatial aspects of economic development, and particularly for their lack of attention to tacit knowledge and urban environments that facilitate the exchange of such knowledge. Our empirical analysis of European regions (Chapter 3) shows that investment by individuals in human capital formation has distinct patterns. Those regions with a higher level of investment in tertiary education tend to have a larger concentration of information and communication technology (ICT) sectors (including provision of ICT services and manufacture of ICT devices and equipment) and research functions. Not surprisingly, regions with major metropolitan areas where higher education institutions are located show a high enrolment rate for tertiary education, suggesting a possible link to the demand from high-order corporate functions located there. Furthermore, the rate of human capital development (at the level of vocational type of upper secondary education) appears to have significant association with the level of entrepreneurship in emerging industries such as ICT-related services and ICT manufacturing, whereas such association is not found with traditional manufacturing industries. In general, a high level of investment by individuals in tertiary education is found in those regions that accommodate high-tech industries and high-order corporate functions such as research and development (R&D). These functions are supported through the urban infrastructure and public science base, facilitating exchange of tacit knowledge. They also enjoy a low unemployment rate. However, the existing stock of human and physical capital in those regions with a high level of urban infrastructure does not lead to a high rate of economic growth. Our empirical analysis demonstrates that the rate of economic growth is determined by the accumulation of human and physical capital, not by level of their existing stocks. We found no significant effects of scale that would favour those regions with a larger stock of human capital. The primary policy implication of our study is that, in order to facilitate economic growth, education and training need to supply human capital at a faster pace than simply replenishing it as it disappears from the labour market. Given the significant impact of high-order human capital (such as business R&D staff in our case study) as well as the increasingly fast pace of technological change that makes human capital obsolete, a concerted effort needs to be made to facilitate its continuous development.

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In present day knowledge societies political decisions are often justified on the basis of scientific expertise. Traditionally, a linear relation between knowledge production and application was postulated which would lead, with more and better science, to better policies. Empirical studies in Science and Technology studies have essentially demolished this idea. However, it is still powerful, not least among practitioners working in fields where decision making is based on large doses of expert knowledge. Based on conceptual work in the field of Science and Technology Studies (STS) I shall examine two cases of global environmental governance, ozone layer protection and global climate change. I will argue that hybridization and purification are important for two major forms of scientific expertise. One is delivered though scientific advocacy (by individual scientists or groups of scientists), the other through expert committees, i.e. institutionalized forms of collecting and communicating expertise to decision makers. Based on this analysis lessons will be drawn, also with regard to the stalling efforts at establishing an international forestry regime.

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Substantial behavioural and neuropsychological evidence has been amassed to support the dual-route model of morphological processing, which distinguishes between a rule-based system for regular items (walk–walked, call–called) and an associative system for the irregular items (go–went). Some neural-network models attempt to explain the neuropsychological and brain-mapping dissociations in terms of single-system associative processing. We show that there are problems in the accounts of homogeneous networks in the light of recent brain-mapping evidence of systematic double-dissociation. We also examine the superior capabilities of more internally differentiated connectionist models, which, under certain conditions, display systematic double-dissociations. It appears that the more differentiation models show, the more easily they account for dissociation patterns, yet without implementing symbolic computations.

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In practical term any result obtained using an ordered weighted averaging (OWA) operator heavily depends upon the method to determine the weighting vector. Several approaches for obtaining the associated weights have been suggested in the literature, in which none of them took into account the preference of alternatives. This paper presents a method for determining the OWA weights when the preferences of alternatives across all the criteria are considered. An example is given to illustrate this method and an application in internet search engine shows the use of this new OWA operator.

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Recent work on ultra-long Raman fiber lasers has shown that it is possible to create quasi-lossless transmission conditions in fiber spans long enough to be considered for high speed optical communications. This paper reviews how quasi-lossless transmission conditions are reached and presents experimental results of 40Gb/s transmission in a quasi lossless system. The performance is compared with a conventional EDFA based system.

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The introduction of agent technology raises several security issues that are beyond conventional security mechanisms capability and considerations, but research in protecting the agent from malicious host attack is evolving. This research proposes two approaches to protecting an agent from being attacked by a malicious host. The first approach consists of an obfuscation algorithm that is able to protect the confidentiality of an agent and make it more difficult for a malicious host to spy on the agent. The algorithm uses multiple polynomial functions with multiple random inputs to convert an agent's critical data to a value that is meaningless to the malicious host. The effectiveness of the obfuscation algorithm is enhanced by addition of noise code. The second approach consists of a mechanism that is able to protect the integrity of the agent using state information, recorded during the agent execution process in a remote host environment, to detect a manipulation attack by a malicious host. Both approaches are implemented using a master-slave agent architecture that operates on a distributed migration pattern. Two sets of experimental test were conducted. The first set of experiments measures the migration and migration+computation overheads of the itinerary and distributed migration patterns. The second set of experiments is used to measure the security overhead of the proposed approaches. The protection of the agent is assessed by analysis of its effectiveness under known attacks. Finally, an agent-based application, known as Secure Flight Finder Agent-based System (SecureFAS) is developed, in order to prove the function of the proposed approaches.