Prospective study of Klebsiella pneumoniae bacteremia:Risk factors and clinical significance of type VIM-1 metallo-beta-lactamases

Abstract

The Swedish Road Administration wants to compile all the national road database data from The Swedish Mapping, Cadastral and Land Registration Authority using a Geographical Information System compiler in order to increase the efficiency of data flow between their respective databases. The objective of this master’s thesis has been to build a software solution containing changed private road data input from The Swedish Mapping, Cadastral and Land Registration Authority and processing it into the OpenTNF standard format. This would enable automatic processing and of private road data to the national road database at the Swedish Road Administration. The work is divided into four parts; 1. Researching standards for databases and version control. 2. Plan the methodology using different resources. 3. Development of a software solution. 4. Analysis. The chosen software is FME by Safe Software. A number of shortcomings such as lack of information on the practical input for the future ANDA system were discovered, therefor some assumptions and simplifications had to be made. Using the assumptions and examples, a functioning solution was created according to the OpenTNF and INSPIRE standards. The examples to fills that gap in knowledge and provide a greater understanding of the usage of the INSPIRE and OpenTNF standards for transport networks. An analysis and a discussion about the existing solution, bottlenecks, faults with the existing database and version management between the databases related to found research is presented. Workflows on different examples for the software solution can be seen in the results. The national road database suffers from low implementation rate and creates issues for making new applications and the ability to adapt to ever-changing nature of planning. Creating a software for automatic update on network data is crucial for the Swedish Road Administration for implementing technologies that are dependent on frequent updates, such as self-driving vehicles