910 resultados para Integrated Expert Systems


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Species` potential distribution modelling consists of building a representation of the fundamental ecological requirements of a species from biotic and abiotic conditions where the species is known to occur. Such models can be valuable tools to understand the biogeography of species and to support the prediction of its presence/absence considering a particular environment scenario. This paper investigates the use of different supervised machine learning techniques to model the potential distribution of 35 plant species from Latin America. Each technique was able to extract a different representation of the relations between the environmental conditions and the distribution profile of the species. The experimental results highlight the good performance of random trees classifiers, indicating this particular technique as a promising candidate for modelling species` potential distribution. (C) 2010 Elsevier Ltd. All rights reserved.

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Credit scoring modelling comprises one of the leading formal tools for supporting the granting of credit. Its core objective consists of the generation of a score by means of which potential clients can be listed in the order of the probability of default. A critical factor is whether a credit scoring model is accurate enough in order to provide correct classification of the client as a good or bad payer. In this context the concept of bootstraping aggregating (bagging) arises. The basic idea is to generate multiple classifiers by obtaining the predicted values from the fitted models to several replicated datasets and then combining them into a single predictive classification in order to improve the classification accuracy. In this paper we propose a new bagging-type variant procedure, which we call poly-bagging, consisting of combining predictors over a succession of resamplings. The study is derived by credit scoring modelling. The proposed poly-bagging procedure was applied to some different artificial datasets and to a real granting of credit dataset up to three successions of resamplings. We observed better classification accuracy for the two-bagged and the three-bagged models for all considered setups. These results lead to a strong indication that the poly-bagging approach may promote improvement on the modelling performance measures, while keeping a flexible and straightforward bagging-type structure easy to implement. (C) 2011 Elsevier Ltd. All rights reserved.

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Managing software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. Even when a well-established maintenance process is followed, the risk of delaying tasks remains if the new services are not precisely described or when resources change during process execution. Also, the delay of a task at an early process stage may represent a different delay at the end of the process, depending on complexity or services reliability requirements. This paper presents a knowledge-based representation (Bayesian Networks) for maintenance project delays based on specialists experience and a corresponding tool to help in managing software maintenance projects. (c) 2006 Elsevier Ltd. All rights reserved.

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A crucial concern in the evaluation of evidence related to a major crime is the formulation of sufficient alternative plausible scenarios that can explain the available evidence. However, software aimed at assisting human crime investigators by automatically constructing crime scenarios from evidence is difficult to develop because of the almost infinite variation of plausible crime scenarios. This paper introduces a novel knowledge driven methodology for crime scenario construction and it presents a decision support system based on it. The approach works by storing the component events of the scenarios instead of entire scenarios and by providing an algorithm that can instantiate and compose these component events into useful scenarios. The scenario composition approach is highly adaptable to unanticipated cases because it allows component events to match the case under investigation in many different ways. Given a description of the available evidence, it generates a network of plausible scenarios that can then be analysed to devise effective evidence collection strategies. The applicability of the ideas presented here are demonstrated by means of a realistic example and prototype decision support software.

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Sistemas de previsão de cheias podem ser adequadamente utilizados quando o alcance é suficiente, em comparação com o tempo necessário para ações preventivas ou corretivas. Além disso, são fundamentalmente importantes a confiabilidade e a precisão das previsões. Previsões de níveis de inundação são sempre aproximações, e intervalos de confiança não são sempre aplicáveis, especialmente com graus de incerteza altos, o que produz intervalos de confiança muito grandes. Estes intervalos são problemáticos, em presença de níveis fluviais muito altos ou muito baixos. Neste estudo, previsões de níveis de cheia são efetuadas, tanto na forma numérica tradicional quanto na forma de categorias, para as quais utiliza-se um sistema especialista baseado em regras e inferências difusas. Metodologias e procedimentos computacionais para aprendizado, simulação e consulta são idealizados, e então desenvolvidos sob forma de um aplicativo (SELF – Sistema Especialista com uso de Lógica “Fuzzy”), com objetivo de pesquisa e operação. As comparações, com base nos aspectos de utilização para a previsão, de sistemas especialistas difusos e modelos empíricos lineares, revelam forte analogia, apesar das diferenças teóricas fundamentais existentes. As metodologias são aplicadas para previsão na bacia do rio Camaquã (15543 km2), para alcances entre 10 e 48 horas. Dificuldades práticas à aplicação são identificadas, resultando em soluções as quais constituem-se em avanços do conhecimento e da técnica. Previsões, tanto na forma numérica quanto categorizada são executadas com sucesso, com uso dos novos recursos. As avaliações e comparações das previsões são feitas utilizandose um novo grupo de estatísticas, derivadas das freqüências simultâneas de ocorrência de valores observados e preditos na mesma categoria, durante a simulação. Os efeitos da variação da densidade da rede são analisados, verificando-se que sistemas de previsão pluvio-hidrométrica em tempo atual são possíveis, mesmo com pequeno número de postos de aquisição de dados de chuva, para previsões sob forma de categorias difusas.

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The purpose of this study is to identify the strategic vision of the Internal Audit Department of Petrel Brasileiro S.A. PETROBRAS, in comparison with the audit function's proposals and practices in competitive organizations and their reality. It also aims at the verification of the possible solutions, within Petrobras itself, so as to constantly add value to the business and to the shareholders. With this in mind, a research was carried out, contemplating the conceptual proposals and market practices related to auditing and to the current diagnosis and the organizational model of Petrobras, so as to choose elements for comparison and analysis of such vision. The results of this research pointed in the direction of questioning the organizational value of the internal audit action, concluding that it will only be possible to continuously attain such value by means of a permanent coordination with the organization's strategic level. This is especially true if the audit action participates effectively in the process of Corporate Governance, in defining the risks, the internal control system and the measurement of corporate performance, as related to the development of the strategic plan. However, any action along these lines is still heavily impacted and limited by several aspects of culture and relationship of the organizational power as well as by the beliefs of the organization and of the body of auditors. The involvement of the auditors as employees was also considered relevant in the auditing process, by means of the participation of the audited entities in self assessment2. This procedure is still not sufficiently guaranteed by successful experiments in major organizations, considering that there is not a clear demonstration of the effective benefits of adopting this practice, as ompared to the central control, seldom shared but strongly monitored by integrated information systems. Finally, this research points to the need to renew the concept of the formation and role of the auditors in modern competitive organizations, in the face of information technology and of automation of the instrument controls of the business. Therefore, one may conclude that the trend will be toward an action aiming at the revision of formal internal control matrixes, as they are established in such systems. On the other hand, the majority of audit human resources will be increasingly deployed to the evaluation of risk and control, as related to relevant events of a more abstract nature, as in the case of those connected with the uncontrollable factors of the external environment.

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As pressões de mercado, os programas de abertura financeira, a desregulamentação da atividade produtiva e a diminuição de barreiras protecionistas afetam significativamente a competitividade da indústria nacional. Outras mudanças, não apenas econômicas, mas sociais, políticas e tecnológicas, também pressionam as organizações a adotar novas estratégias empresariais e deixam claro que modelos de gestão tradicionais já não são mais suficientes para enfrentar estes novos desafios. Na busca de diferenciais competitivos, as empresas têm adotado sistemas de gestão da qualidade, de gestão ambiental e de gestão da saúde e segurança do trabalhador. Como forma de evidenciar a terceiros sua preocupação simultânea com estas três disciplinas, as empresas têm buscado a certificação integrada destes sistemas por meio das normas ISO 9001, ISO 14001 e OHSAS 18001. Surgem, assim, os Sistemas de Gestão Integrados (SGIs), objetos de pesquisa deste estudo. O recorte é setorial, sendo que o setor de construção foi escolhido devido a características como singularidade de seus produtos, alto impacto ambiental e alto índice de acidentes de trabalho. Com o objetivo de investigar como os SGIs foram implementados no setor de construção, foram escolhidos três casos de empresas sabidamente adotantes deste modelo de gestão. Foram analisadas as motivações, o processo de implementação e certificação do sistema, os fatores críticos de sucesso, as dificuldades encontradas e os benefícios colhidos com a adoção de SGIs. A pesquisa confirmou estudos anteriores que demonstram que a motivação, dependendo do contexto em que as empresas se inserem, pode ser por necessidade de maior competitividade, de legitimação, ou ainda, por responsabilidade ambiental de sua liderança. Os fatores críticos de sucesso são, dentre outros, comprometimento da alta administração, comunicação eficiente com as partes interessadas, disponibilidade de recursos e maturidade das equipes. As dificuldades encontradas foram a valorização excessiva de resultados econômico-financeiros, a complexidade do modelo adotado, a utilização burocrática do sistema, a falta de maturidade e preparo dos profissionais, o porte dos projetos, o perfil de competências dos profissionais e variados tipos de resistências. A adoção do SGI nas empresas estudadas esteve condicionada a situações do cenário econômico, do alto índice de terceirização verificado no setor e às dificuldades com a qualificação da mão-de-obra. Não obstante as dificuldades e os condicionantes, o SGI trouxe vários benefícios para as organizações e, um dado relevante, é que ele pode desencadear reações positivas ao longo da cadeia de valor, uma vez que as empresas adotantes de SGI passam a ser mais exigentes em relação a seus fornecedores.

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This work presents a fully operational interstate CGE model implemented for the Brazilian economy that tries to quantify both the role of barriers to trade on economic growth and foreign trade performance and how the distribution of the economic activity may change as the country opens up to foreign trade. Among the distinctive features embedded in the model, modeling of external scale economies, port efficiency and land-maritime transport costs provides an innovative way of dealing explicitly with theoretical issues related to integrated regional systems. In order to illustrate the role played by the quality of infrastructure and geography on the country‟s foreign and interregional trade performance, a set of simulations is presented where barriers to trade are significantly reduced. The relative importance of trade policy, port efficiency and land-maritime transport costs for the country trade relations and regional growth is then detailed and quantified, considering both short run as well as long run scenarios. A final set of simulations shed some light on the effects of liberal trade policies on regional inequality, where the manufacturing sector in the state of São Paulo, taken as the core of industrial activity in the country, is subjected to different levels of external economies of scale. Short-run core-periphery effects are then traced out suggesting the prevalence of agglomeration forces over diversion forces could rather exacerbate regional inequality as import barriers are removed up to a certain level. Further removals can reverse this balance in favor of diversion forces, implying de-concentration of economic activity. In the long run, factor mobility allows a better characterization of the balance between agglomeration and diversion forces among regions. Regional dispersion effects are then clearly traced-out, suggesting horizontal liberal trade policies to benefit both the poorest regions in the country as well as the state of São Paulo. This long run dispersion pattern, on one hand seems to unravel the fragility of simple theoretical results from recent New Economic Geography models, once they get confronted with more complex spatially heterogeneous (real) systems. On the other hand, it seems to capture the literature‟s main insight: the possible role of horizontal liberal trade policies as diversion forces leading to a more homogeneous pattern of interregional economic growth.

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RAMOS, A. S. M.; OLIVEIRA, M. A. Fatores de sucesso na implementação de sistemas integrados de gestão empresarial (ERP): estudo de caso em uma média empresa. In: ENCONTRO NACIONAL DE ENGENHARIA DE PRODUÇÂO, 22., 2002, Curitiba-PR. Anais... Porto Alegre-RS: ABEPRO, 2002. v. 1.

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In recent decades the public sector comes under pressure in order to improve its performance. The use of Information Technology (IT) has been a tool increasingly used in reaching that goal. Thus, it has become an important issue in public organizations, particularly in institutions of higher education, determine which factors influence the acceptance and use of technology, impacting on the success of its implementation and the desired organizational results. The Technology Acceptance Model - TAM was used as the basis for this study and is based on the constructs perceived usefulness and perceived ease of use. However, when it comes to integrated management systems due to the complexity of its implementation,organizational factors were added to thus seek further explanation of the acceptance of such systems. Thus, added to the model five TAM constructs related to critical success factors in implementing ERP systems, they are: support of top management, communication, training, cooperation, and technological complexity (BUENO and SALMERON, 2008). Based on the foregoing, launches the following research problem: What factors influence the acceptance and use of SIE / module academic at the Federal University of Para, from the users' perception of teachers and technicians? The purpose of this study was to identify the influence of organizational factors, and behavioral antecedents of behavioral intention to use the SIE / module academic UFPA in the perspective of teachers and technical users. This is applied research, exploratory and descriptive, quantitative with the implementation of a survey, and data collection occurred through a structured questionnaire applied to a sample of 229 teachers and 30 technical and administrative staff. Data analysis was carried out through descriptive statistics and structural equation modeling with the technique of partial least squares (PLS). Effected primarily to assess the measurement model, which were verified reliability, convergent and discriminant validity for all indicators and constructs. Then the structural model was analyzed using the bootstrap resampling technique like. In assessing statistical significance, all hypotheses were supported. The coefficient of determination (R ²) was high or average in five of the six endogenous variables, so the model explains 47.3% of the variation in behavioral intention. It is noteworthy that among the antecedents of behavioral intention (BI) analyzed in this study, perceived usefulness is the variable that has a greater effect on behavioral intention, followed by ease of use (PEU) and attitude (AT). Among the organizational aspects (critical success factors) studied technological complexity (TC) and training (ERT) were those with greatest effect on behavioral intention to use, although these effects were lower than those produced by behavioral factors (originating from TAM). It is pointed out further that the support of senior management (TMS) showed, among all variables, the least effect on the intention to use (BI) and was followed by communications (COM) and cooperation (CO), which exert a low effect on behavioral intention (BI). Therefore, as other studies on the TAM constructs were adequate for the present research. Thus, the study contributed towards proving evidence that the Technology Acceptance Model can be applied to predict the acceptance of integrated management systems, even in public. Keywords: Technology

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This work aims to analyze risks related to information technology (IT) in procedures related to data migration. This is done considering ALEPH, Integrated Libray System (ILS) that migrated data to the Library Module present in the software called Sistema Integrado de Gestão de Atividades Acadêmicas (SIGAA) at the Zila Mamede Central Library at the Federal University of Rio Grande do Norte (UFRN) in Natal/Brazil. The methodological procedure used was of a qualitative exploratory research with the realization of case study at the referred library in order to better understand this phenomenon. Data collection was able once there was use of a semi-structured interview that was applied with (11) subjects that are employed at the library as well as in the Technology Superintendence at UFRN. In order to examine data Content analysis as well as thematic review process was performed. After data migration the results of the interview were then linked to both analysis units and their system register with category correspondence. The main risks detected were: data destruction; data loss; data bank communication failure; user response delay; data inconsistency and duplicity. These elements point out implication and generate disorders that affect external and internal system users and lead to stress, work duplicity and hassles. Thus, some measures were taken related to risk management such as adequate planning, central management support, and pilot test simulations. For the advantages it has reduced of: risk, occurrence of problems and possible unforeseen costs, and allows achieving organizational objectives, among other. It is inferred therefore that the risks present in data bank conversion in libraries exist and some are predictable, however, it is seen that librarians do not know or ignore and are not very worried in the identification risks in data bank conversion, their acknowledge would minimize or even extinguish them. Another important aspect to consider is the existence of few empirical research that deal specifically with this subject and thus presenting the new of new approaches in order to promote better understanding of the matter in the corporate environment of the information units