227 research outputs found
A Development Environment for Visual Physics Analysis
The Visual Physics Analysis (VISPA) project integrates different aspects of
physics analyses into a graphical development environment. It addresses the
typical development cycle of (re-)designing, executing and verifying an
analysis. The project provides an extendable plug-in mechanism and includes
plug-ins for designing the analysis flow, for running the analysis on batch
systems, and for browsing the data content. The corresponding plug-ins are
based on an object-oriented toolkit for modular data analysis. We introduce the
main concepts of the project, describe the technical realization and
demonstrate the functionality in example applications
Improvements in the geocoding process in organizational environments
Dissertação para obtenção do Grau de Mestre em
Engenharia InformáticaThe current geocoding technologies are only able to handle addresses which fit a general
case for the location in consideration. The more edge-case addresses are mostly ignored
or wrongly geocoded, leading to imprecision and errors in the results obtained. To
try overcoming this problem the current geocoding services accompany their results with
confidence values, but the values and scales used vary between services, and are hard to
understand by users without knowledge in the area, and, as we discovered, are not truly
to be trusted.
Novabase aims to make available to organizations a geocoding service which allows
the improvement of the quality of the results obtained by mainstream geocoding services
such as Google and Bing. The objective is to give quality results in the cases where we
can act and, not being able to do, falling back to the results of other geocoding services.
We pretend to handle addresses in areas where results are of inferior quality, either
because the areas are not fully covered by the services or because those same services are
not prepared to handle the address formats which do not match the general case (one
example are addresses which are numbered by the use of Lotes).
The geocoding is executed in two steps. The first one matches the address with a
knowledge base owned by organizations, in which we assume full trust of the quality. If
the knowledge base returns a valid result, it is output with maximum confidence. When
it fails, we fall back to using the mainstream geocoding services, and use their results for
output
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