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.

Flujo de potencia AC descentralizado para sistemas de potencia multi-área usando un método de descomposición basado en relajación Lagrangiana

A decentralized solution method to the AC power flow problem in power systems with interconnected areas is presented. The proposed methodology allows finding the operation point of a particular area without explicit knowledge of network data of adjacent areas, being only necessary to exchange border information related to the interconnection lines between areas. The methodology is based on the decomposition of the first-order optimality conditions of the AC power flow, which is formulated as a nonlinear programming problem. A 9-bus didactic system, the IEEE Three Area RTS-96 and the IEEE 118 bus test systems are used in order to show the operation and effectiveness of the distributed AC power flow.

Decentralized AC power flow for real-time multi-TSO power system operation

This paper adjusts decentralized OPF optimization to the AC power flow problem in power systems with interconnected areas operated by diferent transmission system operators (TSO). The proposed methodology allows finding the operation point of a particular area without explicit knowledge of network data of the other interconnected areas, being only necessary to exchange border information related to the tie-lines between areas. The methodology is based on the decomposition of the first-order optimality conditions of the AC power flow, which is formulated as a nonlinear programming problem. To allow better visualization of the concept of independent operation of each TSO, an artificial neural network have been used for computing border information of the interconnected TSOs. A multi-area Power Flow tool can be seen as a basic building block able to address a large number of problems under a multi-TSO competitive market philosophy. The IEEE RTS-96 power system is used in order to show the operation and effectiveness of the decentralized AC Power Flow. ©2010 IEEE.

Mathematical decomposition technique applied to the probabilistic power flow problem

In this paper a framework based on the decomposition of the first-order optimality conditions is described and applied to solve the Probabilistic Power Flow (PPF) problem in a coordinated but decentralized way in the context of multi-area power systems. The purpose of the decomposition framework is to solve the problem through a process of solving smaller subproblems, associated with each area of the power system, iteratively. This strategy allows the probabilistic analysis of the variables of interest, in a particular area, without explicit knowledge of network data of the other interconnected areas, being only necessary to exchange border information related to the tie-lines between areas. An efficient method for probabilistic analysis, considering uncertainty in n system loads, is applied. The proposal is to use a particular case of the point estimate method, known as Two-Point Estimate Method (TPM), rather than the traditional approach based on Monte Carlo simulation. The main feature of the TPM is that it only requires resolve 2n power flows for to obtain the behavior of any random variable. An iterative coordination algorithm between areas is also presented. This algorithm solves the Multi-Area PPF problem in a decentralized way, ensures the independent operation of each area and integrates the decomposition framework and the TPM appropriately. The IEEE RTS-96 system is used in order to show the operation and effectiveness of the proposed approach and the Monte Carlo simulations are used to validation of the results. © 2011 IEEE.

Do conhecimento tácito ao conhecimento explícito: A elaboração de manual de política de indexação em bibliotecas universitárias

The indexing policy establishes the guiding principles and criteria for the indexer when determining the subjects of the documents. This article shows how to capture the indexers' tacit knowledge into explicit knowledge using the group verbal protocol methodology to produce an indexing manual. Continuing professional education results to be a key factor in obtaining good results when formalizing the indexing policy of a library and keeping it up to date.

A gestão do conhecimento em pequenas e médias empresas: um estudo de caso

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Del conocimiento tácito al explicito: elaboración de un manual de política de indización en bibliotecas universitárias

The indexing policy establishes the guiding principles and criteria for the indexer when determining the subjects of the documents. This article shows how to capture the indexers’ tacit knowledge into explicit knowledge using the group verbal protocol methodology to produce an indexing manual. Continuing professional education results to be a key factor in obtaining good results when formalizing the indexing policy of a library and keeping it up to date.

Modelos didáticos dos professores: conhecimentos implícitos e explícitos de professores de Química em exercício

Pós-graduação em Educação para a Ciência - FC

Explicit and implicit knowledge of environment states induce adaptation in postural control

The aim of this study was to investigate the effects of explicit and implicit knowledge about visual surrounding manipulation on postural responses. Twenty participants divided into two groups, implicit and explicit, remained in upright stance inside a moving room. In the fourth trial participants in the explicit group were informed about the movement of the room while participants in the implicit group performed the trial with the room moving at a larger amplitude and higher velocity. Results showed that postural responses to visual manipulation decreased after participants were told that the room was moving as well as after increasing amplitude and velocity of the room, indicating decreased coupling (down-weighting) of the visual influences. Moreover, this decrease was even greater for the implicit group compared to the explicit group. The results demonstrated that conscious knowledge about environmental state changes the coupling to visual information, suggesting a cognitive component related to sensory re-weighting. Re-weighting processes were also triggered without awareness of subjects and were even more pronounced compared to the first case. Adaptive re-weighting was shown when knowledge about environmental state was gathered explicitly and implicitly, but through different adaptive processes. (C) 2014 Elsevier Ireland Ltd. All rights reserved.