Fatores facilitadores e inibidores no uso das comunidades de prática: um estudo de caso em uma empresa alemã

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Um método de análise de dados temporais para o Cadastro Territorial Multifinalitário Urbano

Pós-graduação em Ciências Cartográficas - FCT

Inteligência competitiva organizacional: um modelo apoiado nos comportamentos de busca, compartilhamento e uso de informação e de TIC

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Competência em informação na construção da inteligência competitiva nas organizações: o caso da empresa Mizumo

Pós-graduação em Ciência da Informação - FFC

Tipos documentais e fluxos de informação como subsídios para o processo decisório em ambientes organizacionais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Reducing the gap between mobile and intelligent software agents

This paper presents an approach to integrate an artificial intelligence (AI) technique, concretely rule-based processing, into mobile agents. In particular, it focuses on the aspects of designing and implementing an appropriate inference engine of small size to reduce migration costs. The main goal is combine two lines of agent research, First, the engineering oriented approach on mobile agent architectures, and, second, the AI related approach on inference engines driven by rules expressed in a restricted subset of first-order predicate logic (FOPL). In addition to size reduction, the main functions of this type of engine were isolated, generalized and implemented as dynamic components, making possible not only their migration with the agent, but also their dynamic migration and loading on demand. A set of classes for representing and exchanging knowledge between rule-based systems was also proposed.

JSEG-based image segmentation in computer vision for agricultural mobile robot navigation

This project aims to apply image processing techniques in computer vision featuring an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. To carry through this task, computational methods based on the JSEG algorithm were used to provide the classification and the characterization of such problems, together with Artificial Neural Networks (ANN) for pattern recognition. Therefore, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave platforms, along with the application of customized Back-propagation algorithm and statistical methods in a Simulink environment. Having the aforementioned procedures been done, it was practicable to classify and also characterize the HSV space color segments, not to mention allow the recognition of patterns in which reasonably accurate results were obtained.

A proposed neural control for the trajectory tracking of a nonholonomic mobile robot with disturbances

In this paper, a trajectory tracking control problem for a nonholonomic mobile robot by the integration of a kinematic neural controller (KNC) and a torque neural controller (TNC) is proposed, where both the kinematic and dynamic models contains disturbances. The KNC is a variable structure controller (VSC) based on the sliding mode control theory (SMC), and applied to compensate the kinematic disturbances. The TNC is a inertia-based controller constituted of a dynamic neural controller (DNC) and a robust neural compensator (RNC), and applied to compensate the mobile robot dynamics, and bounded unknown disturbances. Stability analysis with basis on Lyapunov method and simulations results are provided to show the effectiveness of the proposed approach. © 2012 Springer-Verlag.

MiLoc-Sys Mobile: gestão em locação

Companies that invest in current technologies maintain themselves updated, improve their business rules and anticipate themselves against rivals providing a better service to their customers. This project aims to develop an ERP - Enterprise Resource Planning module for Android which complements an existing manager system and, that attends the needs of a rental equipment business for civil building, i.e., it improves the communication channel company-client and betters the identification and control of products. During the developing of this project, it was necessary to study the company business rules, analyze the requirements and the appropriate technologies. This project was organized in two parts, contemplating e ach of these needs. It were implemented specific modules for generate budgets and pre-orders in the first part and, the use of radiofrequency tags in the second one. Thus, it was possible to assign mobility to company business rules so that a better rental service can be provided and the equipments can be better managed