Organizational communication and innovation in micro and small companies: a study on the application of the Innovation Radar

This paper is a study on corporate communication and the ability to innovate in small businesses. The guiding question seeks to respond whether organizational communication is able to make progress and / or support innovation in micro and small companies, and the main objective is to analyze the relationship between innovation and organizational communication. It was applied the case study method and document research for interpreting a diagnosis instru- ment called “Innovation Radar” in a small business company located in the countryside of São Paulo state. The diagnosis is made based on assessment dimensions aimed at checking the maturity and the degree of innovation in micro and small companies. By evaluating these di- mensions it was possible to build analytical frameworks and highlight the influence of corporate communication in promoting innovation. The results indicate that every dimension of the “In- novation Radar” can improve their performance by means of corporate communication.

An intelligent system to real time rainfall prediction using radar data

This work presents a new approach for rainfall measurements making use of weather radar data for real time application to the radar systems operated by institute of Meteorological Research (IPMET) - UNESP - Bauru - SP-Brazil. Several real time adjustment techniques has been presented being most of them based on surface rain-gauge network. However, some of these methods do not regard the effect of the integration area, time integration and distance rainfall-radar. In this paper, artificial neural networks have been applied for generate a radar reflectivity-rain relationships which regard all effects described above. To evaluate prediction procedure, cross validation was performed using data from IPMET weather Doppler radar and rain-gauge network under the radar umbrella. The preliminary results were acceptable for rainfalls prediction. The small errors observed result from the spatial density and the time resolution of the rain-gauges networks used to calibrate the radar.

Geoestatística aplicada à acumulação da precipitação pluviométrica com radar meteorológico

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Integridade no posicionamento RTK e RTK em rede

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Orientação espacial em adultos com deficiência visual: efeitos de um treinamento de navegação

O objetivo deste estudo foi demonstrar se um programa de navegação pode ajudar indivíduos com deficiência visual a melhorar a acurácia na orientação dinâmica. Nove participantes com deficiência visual retornaram a um ponto de partida após percorrer rotas em linha reta e triangular. Pré e pós-avaliações foram feitas entre um período de 4 meses, durante o qual o treinamento com navegação foi realizado. Entre pré e pós-teste, erros relativos de desvios angulares (ERDA) foram diferentes apenas na tarefa em linha reta. O valor de ERDA foi maior na tarefa em linha reta possivelmente por causa da magnitude do giro inicial antes de retornar ao ponto de partida (i.e., 180º) em contraste com a tarefa triângulo (i.e., 45º). Conclui-se que, em tarefas de orientação, os erros no desvio angular dependem da amplitude do giro inicial ao retornar para o ponto de partida. Ainda, a acurácia na manutenção da direção é influenciada por um treinamento específico com navegação.

Zoneamento geoambiental da reserva biológica do Jaru e zona de amortecimento - RO, como subsídio ao seu plano de manejo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo dos mixozoários (Myxozoa : Myxosporea) parasitos dos peixes characiformes Acestrorhynchus lacustris (Lütken, 1875) e Steindachnerina insculpta (Fernández-Yépez, 1948) coletados no Rio do Peixe, médio Rio Tietê, SP, Brasil

The São Paulo State has as one of its main rivers the Tietê, which is an extremely important source because of its biodiversity, use in navigation and mainly as direct supplier of water for thousands of people in the region. Currently, the biodiversity of marine and freshwater ecosystems has been threatened, primarily by environmental problems resulting from the degradation of ecosystems, an example is the stretch of the Middle Tietê River, where the Barra Bonita dam (SP) focused virtually the whole load organic effluents from the metropolitan region of São Paulo, leading to eutrophication with the loss of water quality. This basin is located in the Peixe’s River, a tributary of the Barra Bonita whose sources are on the slopes of the Cuesta de Botucatu, presenting an altitudinal gradient in a good state of conservation and water quality. From another perspective, the studies related to parasites and other pathogens of aquatic organisms have considerably increased the relevance, especially those hosts with potential for growing and marketing, given the significant increase these activities in Brazil and worldwide. Among the agents responsible for diseases in fish are the myxosporean, which can cause major economic damage, with high mortality ratios. Based on the above, this study evaluated the biodiversity of myxosporean parasites of two species of fish Acestrorhynchus lacustris and Steindachnerina insculpta. During the period January to November 2012, 40 specimens of Acestrorhynchus lacustris and 33 specimens of Steindachnerina insculpta were collected from the Peoxe’s river at four different points. The necropsies were performed and all organs were analyzed looking for myxosporean. Only the species Steindachnerina insculpta had their gills parasitized by two species of the genus Henneguya

Avaliação da usabilidade de representações cartográficas em diferentes escalas para sistema de navegação e guia de rota em automóvel

Pós-graduação em Ciências Cartográficas - FCT

Sistema baseado em regras fuzzy do tipo Takagi-Sugeno aplicado a ecos de radares meteorológicos

Pós-graduação em Ciências Ambientais - Sorocaba

A radar reflectivity-runoff model for use in flood warning

This model connects directly the radar reflectivity data and hydrological variable runoff. The catchment is discretized in pixels (4 Km × 4 Km) with the same resolution of the CAPPI. Careful discretization is made so that every grid catchment pixel corresponds precisely to CAPPI grid cell. The basin is assumed a linear system and also time invariant. The forecast technique takes advantage of spatial and temporal resolutions obtained by the radar. The method uses only the measurements of the factor reflectivity distribution observed over the catchment area without using the reflectivity - rainfall rate transformation by the conventional Z-R relationships. The reflectivity values in each catchment pixel are translated to a gauging station by using a transfer function. This transfer function represents the travel time of the superficial water flowing through pixels in the drainage direction ending at the gauging station. The parameters used to compute the transfer function are concentration time and the physiographic catchment characteristics. -from Authors

The first case study of a thunderstorm in South Africa based on dual- Doppler radar observations

On 27 March 1991, an isolated thunderstorm passed between the two CSIR Doppler radars, spaced about 45km apart. Both radars simultaneously recorded Doppler data of the storm, and a detailed case study during an 11-min period is presented. Air motions synthesized from these data provide the first three-dimensional display of Doppler-derived wind fields within a multicell storm on the Transvaal Highveld. Regions of high divergence values (10 -2s -1) at low levels were found mostly in close proximity to reflectivity maxima (45-51 dBZ), which is consistent with findings from North America, that gravitational loading by the precipitation plays a key role in the initiation and maintenance of downdraughts. -from Authors

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.

ANN statistical image recognition method for computer vision in agricultural mobile robot navigation

The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization matters. Thereby, 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 image recognition. Hence, it was possible to run simulations and carry out analyses of the performance of JSEG image segmentation technique through Matlab/Octave computational platforms, along with the application of customized Back-propagation Multilayer Perceptron (MLP) algorithm and statistical methods as structured heuristics 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 segmented images in which reasonably accurate results were obtained. © 2010 IEEE.