Fuzzy distributed artificial intelligence systems

In this paper, we introduce a DAI approach called hereinafter Fuzzy Distributed Artificial Intelligence (FDAI). Through the use of fuzzy logic, we have been able to develop mechanisms that we feel may effectively improve current DAI systems, giving much more flexibility and providing the subsidies which a formal theory can bring. The appropriateness of the FDAI approach is explored in an important application, a fuzzy distributed traffic-light control system, where we have been able to aggregate and study several issues concerned with fuzzy and distributed artificial intelligence. We also present a number of current research directions necessary to develop the FDAI approach more fully.

The construction of a juridical ontology

The need for the representation of both semantics and common sense and its organization in a lexical database or knowledge base has motivated the development of large projects, such as Wordnets, CYC and Mikrokosmos. Besides the generic bases, another approach is the construction of ontologies for specific domains. Among the advantages of such approach there is the possibility of a greater and more detailed coverage of a specific domain and its terminology. Domain ontologies are important resources in several tasks related to the language processing, especially in those related to information retrieval and extraction in textual bases. Information retrieval or even question and answer systems can benefit from the domain knowledge represented in an ontology. Besides embracing the terminology of the field, the ontology makes the relationships among the terms explicit. Copyright 2007 ACM.

Road maps towards an information society in Latin America and the Caribbean

Includes bibliography

ICT for growth and equality: renewing strategies for the information society. Summary

Includes bibliography

Latin America on its path into the digital age: where are we?

Includes bibliography

An aproach for implementing knowledge management in small and medium companies in Brazil: A case study

The search for competitive advantage in a global environment must consider the use of tacit and explicit knowledge circulating inside companies. Differential factors can be easily replicated nowadays. Due to the great volume of knowledge and information, it is necessary to create a system that allows the management of important knowledge. Existing models for Knowledge Management are based on the reality at large companies. In Brazil, most of the companies are smaller ones. This work presents a simplified model to implement Knowledge Management in Small and Medium Companies in Brazil, based on a unique case study with limited scope. Despite some human and financial restrictions, Knowledge Management can help smaller companies, preserving organizational memory and increasing process efficiency. Observing a unique case prevented any generalization of the model. But the recommendations can be references to other companies, because projects like this must address the specific issues of each organization. The objective of this study is to introduce a simplified model for planning Knowledge Management at small companies in Brazil, considering their restrictions and also seeking to create a competitive advantage. Human aspects are very important in Knowledge Management, but that is not the focus of this study. The model was conceived presuming the participation of all people involved.

Development of a simplified transmission line model directly in the phase domain

A transmission line digital model is developed direct in the phase and time domains. The successive modal transformations considered in the three-phase representation are simplified and then the proposed model can be easily applied to several operation condition based only on the previous knowing of the line parameters, without a thorough theoretical knowledge of modal analysis. The proposed model is also developed based on lumped elements, providing a complete current and voltage profile at any point of the transmission system. This model makes possible the modeling of non-linear power devices and electromagnetic phenomena along the transmission line using simple electric circuit components, representing a great advantage when compared to several models based on distributed parameters and inverse transforms. In addition, an efficient integration method is proposed to solve the system of differential equations resulted from the line modeling by lumped elements, thereby making possible simulations of transient and steady state using a wide and constant integration step. © 2012 IEEE.

(Res)significando a Educação Estatística no Ensino Fundamental: análise de uma sequência didática apoiada nas Tecnologias de Informação e Comunicação

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Memória lúdica de infância de educadores que atuam em contextos rurais no município de Araraquara-SP: referências para formação e ação docente

Pós-graduação em Educação Escolar - FCLAR

Modelos para previsão de carga a curto prazo através de redes neurais artificiais com treinamento baseado na teoria da informação

O conhecimento prévio do valor da carga é de extrema importância para o planejamento e operação dos sistemas de energia elétrica. Este trabalho apresenta os resultados de um estudo investigativo da aplicação de Redes Neurais Artificiais do tipo Perceptron Multicamadas com treinamento baseado na Teoria da Informação para o problema de Previsão de Carga a curto prazo. A aprendizagem baseada na Teoria da Informação se concentra na utilização da quantidade de informação (Entropia) para treinamento de uma rede neural artificial. Dois modelos previsores são apresentados sendo que os mesmos foram desenvolvidos a partir de dados reais fornecidos por uma concessionária de energia. Para comparação e verificação da eficiência dos modelos propostos um terceiro modelo foi também desenvolvido utilizando uma rede neural com treinamento baseado no critério clássico do erro médio quadrático. Os resultados alcançados mostraram a eficiência dos sistemas propostos, que obtiveram melhores resultados de previsão quando comparados ao sistema de previsão baseado na rede treinada pelo critério do MSE e aos sistemas previsores já apresentados na literatura.

Avaliação do uso de linguagem documentária em catálogos coletivos de bibliotecas universitárias: um estudo sociocognitivo com protocolo verbal

Pós-graduação em Ciência da Informação - FFC

A representação documentária do domínio da Economia: análise de estruturas de representação em linguagens documentárias e documentos específicos de economia

Pós-graduação em Ciência da Informação - FFC

Sobre o pensamento de Peirce e a organização da informação e do conhecimento

Incomplete glimpses of the philosophy of Charles Peirce (1839-1914) can frequently be found in studies about Semiotics and Information Science. Therefore, we sought to discover the theoretical and applied interrelationships between knowledge and information organization and Peirce's Semiotics and Philosophy. The aim was to discover and evaluate the contributions of Peirce's Semiotics and Philosophy to the knowledge and information organization field. The method of this study was bibliographical research. The main results were: indexing process semiotic model, semiotic knowledge organization, interaction between documentary semiotics and documentary languages, kinds of inference to the indexing process, as well as the collaboration of Peirce's pragmatism to terminology theory. Finally, we listed issues for future research.

Representação iterativa e folksonomia assistida para repositórios digitais

Information retrieval has been much discussed within Information Science lately. The search for quality information compatible with the users needs became the object of constant research.Using the Internet as a source of dissemination of knowledge has suggested new models of information storage, such as digital repositories, which have been used in academic research as the main form of autoarchiving and disseminating information, but with an information structure that suggests better descriptions of resources and hence better retrieval.Thus the objective is to improve the process of information retrieval, presenting a proposal for a structural model in the context of the semantic web, addressing the use of web 2.0 and web 3.0 in digital repositories, enabling semantic retrieval of information through building a data layer called Iterative Representation.The present study is characterized as descriptive and analytical, based on document analysis, divided into two parts: the first, characterized by direct observation of non-participatory tools that implement digital repositories, as well as digital repositories already instantiated, and the second with scanning feature, which suggests an innovative model for repositories, with the use of structures of knowledge representation and user participation in building a vocabulary domain. The model suggested and proposed ─ Iterative Representation ─ will allow to tailor the digital repositories using Folksonomy and also controlled vocabulary of the field in order to generate a data layer iterative, which allows feedback information, and semantic retrieval of information, through the structural model designed for repositories. The suggested model resulted in the formulation of the thesis that through Iterative Representation it is possible to establish a process of semantic retrieval of information in digital repositories.

Information flows and environments in business contexts: the meat sector case of Salmanca/Spain

Organizational environments are related to hierarchic levels existing in a determined organization, and they influence in the formal and informal flows origin and in their monitoring and/or extinction. Informational environments are a result of organizational environments, of which focus is information and knowledge. Information flows are a fundamental element to informational environments, in a way that there´s no informational environments if there´s no information flows. Informational flows are natural reflections from their environments, in terms of content and in the way they occur. This qualitative and quantitative research was developed in three stages, in a way to allow the comprehension of the phenomena related to information and knowledge environments and information flows that occur in the meat sector from the Province of Salamanca, Spain. We used Laurence Bardin´s ‘Analysis of Content’, more specifically the ‘Categorical Analysis’ technique to data analysis. As data collection procedure we accomplished a field research, applying a questionnaire as an intentional sample of the meat industries segment from the Province of Salamanca, Spain. From data tabulation and analysis, we infer that information environments and flows are relevant to these companies business development, as well as we emphasized the need of information and knowledge management deployment, in a way to insure organizational processes quality, industrial chain production and companies competition to conquer potential markets.