Pavimentações do plano: um estudo com professores de matemática e arte

Pós-graduação em Educação Matemática - IGCE

Redução do tempo de ciclo baseado na produção enxuta em uma rémontagem de tubos de freios e combustível

In today's competitive environment of automakers, it is essential to obtain the highest efficiency of the production process. This paper presents a study in a pre-assembly of brake pipes and fuel of a vehicle where the value stream maps and information (VSM – Value Stream Mapping) were designed in order to improve the process by reducing the Lead Time Production of a product, reducing waste and decrease time between processes. This work can be divided into three stages, the first building the VSM of the initial state, the second VSM of the proposed state and finally the VSM than was actually performed and to present the gains were achieved effectively. The proposed VSM would lead to a gain of 54% in lead time and 61% in processing time, since the VSM implemented had gains of 47% in lead time and 48% in processing time even without major investments as originally proposed. Concluding that even without big investment, using the techniques of lean manufacturing is possible to achieve high levels of process efficiency

Extraction of Building Roof Contours From LiDAR Data Using a Markov-Random-Field-Based Approach

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

First record of the ghost bat Diclidurus scutatus Peters (Mammalia, Chiroptera, Emballonuridae) in São Paulo city, Brazil

Devido aos seus hábitos de voar alto e se abrigar em folhas de palmeiras, há poucos registros na literatura sobre o morcego Diclidurus scutatus Peters, 1869. No Brasil, essa espécie é conhecida somente na região Norte e o presente estudo descreve sua primeira ocorrência na região Sudeste. O morcego foi encontrado morto no parapeito da janela de um apartamento do nono andar, em um edifício residencial, na área urbana da cidade de São Paulo, estado de São Paulo. Provavelmente esse morcego devia viver na Serra da Cantareira, um fragmento da mata Atlântica, próximo da cidade de São Paulo.

Tuberculosis diagnosis after bleach processing for early stage tuberculosis laboratory capacity building

The diagnosis of tuberculosis is seriously hampered in the absence of standard biosafety laboratory facilities for specimen concentration and Mycobacterium tuberculosis culture. Within a laboratory twinning arrangement, heat-fixed direct smear and sediment from 74 bleach-processed and 20 non-processed specimens from Cumura Hospital, Guinea-Bissau, were sent to Lisbon for molecular evaluation of rifampicin resistance. Sequence analysis of a 369 base-pair ppoB locus detected 3.2% (3/94) resistant specimens. To our knowledge, this represents the first report on the molecular analysis of M. tuberculosis from bleach-processed sputum, an alternative to current diagnostic practice in low-resource settings.

Building roof contour extraction from LiDAR data

This paper proposes a method for the automatic extraction of building roof contours from a LiDAR-derived digital surface model (DSM). The method is based on two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. Preliminary results have shown that the proposed methodology works properly.

Photogrammetric refinement of laser-based building roof contours

In this paper a photogrammetric method is proposed for refining 3D building roof contours extracted from airborne laser scanning data. It is assumed that laser-derived planar faces of roofs are potentially accurate, while laser-derived building roof contours are not well defined. First, polygons representing building roof contours are extracted from a high-resolution aerial image. In the sequence, straight-line segments delimitating each building roof polygon are projected onto the corresponding laser-derived roof planes by using a new line-based photogrammetric model. Finally, refined 3D building roof contours are reconstructed by connecting every pair of photogrammetrically- projected adjacent straight lines. The obtained results showed that the proposed approach worked properly, meaning that the integration of image data and laser scanning data allows better results to be obtained, when compared to the results generated by using only laser scanning data. © 2013 IEEE.

Simulated annealing for building roof contours identification from lidar data

This paper proposes a method by simulated annealing for building roof contours identification from LiDAR-derived digital elevation model. Our method is based on the concept of first extracting aboveground objects and then identifying those objects that are building roof contours. First, to detect aboveground objects (buildings, trees, etc.), the digital elevation model is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline representations of the detected aboveground objects. Second, building roof contours are identified from among the aboveground objects by optimizing a Markov-random-field-based energy function that embodies roof contour attributes and spatial constraints. The solution of this function is a polygon set corresponding to building roof contours and is found by using a minimization technique, like the Simulated Annealing algorithm. Experiments carried out with laser scanning digital elevation model showed that the methodology works properly, as it provides roof contour information with approximately 90% shape accuracy and no verified false positives.