Development of a sensitive passive sampler using indigotrisulfonate for the determination of tropospheric ozone

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Spatial electric load forecasting using an evolutionary heuristic

A method for spatial electric load forecasting using elements from evolutionary algorithms is presented. The method uses concepts from knowledge extraction algorithms and linguistic rules' representation to characterize the preferences for land use into a spatial database. The future land use preferences in undeveloped zones in the electrical utility service area are determined using an evolutionary heuristic, which considers a stochastic behavior by crossing over similar rules. The method considers development of new zones and also redevelopment of existing ones. The results are presented in future preference maps. The tests in a real system from a midsized city show a high rate of success when results are compared with information gathered from the utility planning department. The most important features of this method are the need for few data and the simplicity of the algorithm, allowing for future scalability.

Spatial pattern detection modeling of thrips (Thrips tabaci) on onion fields

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Development and applications of three-dimensional gamma ray tomography system using ray casting volume rendering techniques

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

Multi-Agent Framework for Spatial Load Forecasting

A multi-agent framework for spatial electric load forecasting, especially suited to simulate the different dynamics involved on distribution systems, is presented. The service zone is divided into several sub-zones, each subzone is considered as an independent agent identified with a corresponding load level, and their relationships with the neighbor zones are represented as development probabilities. With this setting, different kind of agents can be developed to simulate the growth pattern of the loads in distribution systems. This paper presents two different kinds of agents to simulate different situations, presenting some promissory results.

Development of a low-cost mobile mapping system: A South American experience

This paper presents the prototype of a low-cost terrestrial mobile mapping system (MMS) composed of a van, two digital video cameras, two GPS receivers, a notebook computer, and a sound frame synchronisation system. The imaging sensors are mounted as a stereo video camera on top of the vehicle together with the GPS antennae. The GPS receivers and the notebook computer are configured to record data referred to the vehicle position at a planned time interval. This position is subsequently transferred to the road images. This set of equipment and methods provide the opportunity to merge distinct techniques to make topographic maps and also to build georeferenced road image databases. Both vector maps and raster image databases, when integrated appropriately, can give spatial researchers and engineers a new technique whose application may realise better planning and analysis related to the road environment. The experimental results proved that the MMS developed at the São Paulo State University is an effective approach to inspecting road pavements, to map road marks and traffic signs, electric power poles, telephone booths, drain pipes, and many other applications important to people's safety and welfare. A small number of wad images have already been captured by the prototype as a consequence of its application in distinct projects. An efficient organisation of those images and the prompt access to them justify the need for building a georeferenced image database. By expanding it, both at the hardware and software levels, it is possible for engineers to analyse the entire road environment on their office computers.

The sustainability of development in Latin America and the Caribbean: challenges and opportunities

Includes bibliography

Spatial load forecasting using a demand propagation approach

A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses two kinds of agents: reactive and proactive. The reactive agents represent each sub-zone in the service zone, characterizing each one with their corresponding load level, represented in a real number, and their relationships with other sub-zones represented in development probabilities. The proactive agent carry the new load expected to be allocated because of the new special load, this agent distribute the new load in a propagation pattern. The results are presented with maps of future expected load levels in the service zone. The method is tested with data from a mid-size city real distribution system, simulating the effect of a load with attraction and repulsion attributes. The method presents good results and performance. © 2011 IEEE.

Spatial clustering applied to health area

The significant volume of work accidents in the cities causes an expressive loss to society. The development of Spatial Data Mining technologies presents a new perspective for the extraction of knowledge from the correlation between conventional and spatial attributes. One of the most important techniques of the Spatial Data Mining is the Spatial Clustering, which clusters similar spatial objects to find a distribution of patterns, taking into account the geographical position of the objects. Applying this technique to the health area, will provide information that can contribute towards the planning of more adequate strategies for the prevention of work accidents. The original contribution of this work is to present an application of tools developed for Spatial Clustering which supply a set of graphic resources that have helped to discover knowledge and support for management in the work accidents area. © 2011 IEEE.

3D geovisualisation techniques applied in spatial data mining

The increase in the number of spatial data collected has motivated the development of geovisualisation techniques, aiming to provide an important resource to support the extraction of knowledge and decision making. One of these techniques are 3D graphs, which provides a dynamic and flexible increase of the results analysis obtained by the spatial data mining algorithms, principally when there are incidences of georeferenced objects in a same local. This work presented as an original contribution the potentialisation of visual resources in a computational environment of spatial data mining and, afterwards, the efficiency of these techniques is demonstrated with the use of a real database. The application has shown to be very interesting in interpreting obtained results, such as patterns that occurred in a same locality and to provide support for activities which could be done as from the visualisation of results. © 2013 Springer-Verlag.

Population, territory and sustainable development: Summary

Spanish and French versions available in the Library

Population, territory and sustainable development

Includes bibliography

The British Virgin Islands national integrated development strategy

Includes bibliography

Draft operational guide for implementation and follow-up of the Montevideo Consensus on Population and Development: second draft

Introduction .-- I. Background .-- II. Frameworks for implementing the regional agenda on population and development .-- III. Making operational the priority measures of the Montevideo Consensus on Population and Development: A. Full integration of population dynamics into sustainable development with gender equality and respect for human rights. B. Rights, needs, responsibilities and the demands of girls, boys, adolescents and youth. C. Ageing, social protection and socioeconomic challenges. D. Universal access to sexual and reproductive health services. E. Gender equality. F. International migration and protection of the human rights of all migrants. G. Territorial inequality, spatial mobility and vulnerability. H. Indigenous peoples: interculturalism and rights. I. Afro-descendants: rights and combating racial discrimination.

Working paper on the eLAC 2018 Digital Agenda in consideration of Caribbean priorities for technology-supported development

eLAC 2018 will coordinate the implementation of programmes to support the use of information and communications technologies (ICTs) in achieving social and economic development goals for Latin America in the Caribbean during the 2015-2018 timeframe. The conceptual framework for this programme of work is described by the eLAC 2018 Digital Agenda, which is anticipated to be ratified by the fifth Ministerial Conference on the Information Society in Latin America and the Caribbean, to be held in August 2015 in Mexico City. There is a need for broader input from Caribbean countries to the eLAC 2018 Digital Agenda. Accordingly, this working paper reviews the document’s current draft, considering each of its objectives in the context of Caribbean development needs. Amendments are recommended to 12 of the objectives. Two additional objectives are also proposed, in the areas of regional coordination on universal service funds, and the establishment of a spatial data infrastructure to support the use of geographic information systems. Representatives of Caribbean countries are invited to use the contents of this document as an input to the development of their own proposed amendments for inclusion in the final version of the eLAC 2018 Digital Agenda.