Qualidade em obras públicas: um estudo comparativo entre as metodologias Seis Sigma, ISO 9000 e PBQP-H no RN

In Brazil the theme quality in public construction has been widely discussed in the early 1990s, with the creation of the Brazilian Program of Quality and Productivity for the Habitat (PBQP-H) which is strongly influenced by the wave of studies on issues of quality in the world, such as the ISO 9000. Over the years, other approaches have emerged and been consolidated, evolving from market and customer´s needs. An example is the Six Sigma methodology. This study aims to examine the Six Sigma, ISO 9000 and PBQP-H methodologies, noting the common elements, differences, gaps and how the methods are complementary, so that with the ongoing work, proposed initiatives can be developed to improve the quality that enables its application in public construction. Still aiming to optimize the deployment of the proposed initiatives, it was performed an analysis of ISO 9001 and PBPQ-H certifications in Brazil and in the state of Rio Grande do Norte, with respect to the construction industry and a case study to identify the factors that influence the adoption of initiatives to improve quality, and check if the selected construction company is prepared to implement the proposed initiatives. This research is characterized as exploratory and applied, with literature review and a case study. The data collection instrument was a questionnaire and the statistical analysis used a multidimensional scaling method. The conclusion is that the methodologies are compatible and complementary, and their integration could potentialize the goals set. It was identified that the state of Rio Grande do Norte has a few number of certifications in construction. Nine initiatives are proposed for implementation at construction companies. In the case study it was found that the studied company would be able to implement the suggestions proposed and the requirement for certification by clients and funding institutions influence the adoption of quality improvement initiatives. This result confirms the literature which states that top management support is crucial for the successful implementation of quality methodologies

Seleção seqüencial de descritores por análise da semântica para recuperação de imagens baseada no conteúdo

With the rapid growth of databases of various types (text, multimedia, etc..), There exist a need to propose methods for ordering, access and retrieve data in a simple and fast way. The images databases, in addition to these needs, require a representation of the images so that the semantic content characteristics are considered. Accordingly, several proposals such as the textual annotations based retrieval has been made. In the annotations approach, the recovery is based on the comparison between the textual description that a user can make of images and descriptions of the images stored in database. Among its drawbacks, it is noted that the textual description is very dependent on the observer, in addition to the computational effort required to describe all the images in database. Another approach is the content based image retrieval - CBIR, where each image is represented by low-level features such as: color, shape, texture, etc. In this sense, the results in the area of CBIR has been very promising. However, the representation of the images semantic by low-level features is an open problem. New algorithms for the extraction of features as well as new methods of indexing have been proposed in the literature. However, these algorithms become increasingly complex. So, doing an analysis, it is natural to ask whether there is a relationship between semantics and low-level features extracted in an image? and if there is a relationship, which descriptors better represent the semantic? which leads us to a new question: how to use descriptors to represent the content of the images?. The work presented in this thesis, proposes a method to analyze the relationship between low-level descriptors and semantics in an attempt to answer the questions before. Still, it was observed that there are three possibilities of indexing images: Using composed characteristic vectors, using parallel and independent index structures (for each descriptor or set of them) and using characteristic vectors sorted in sequential order. Thus, the first two forms have been widely studied and applied in literature, but there were no records of the third way has even been explored. So this thesis also proposes to index using a sequential structure of descriptors and also the order of these descriptors should be based on the relationship that exists between each descriptor and semantics of the users. Finally, the proposed index in this thesis revealed better than the traditional approachs and yet, was showed experimentally that the order in this sequence is important and there is a direct relationship between this order and the relationship of low-level descriptors with the semantics of the users