10 research outputs found

    Entwicklung und Erprobung eines Qualitätsmanagements für berufliche Schulen in Bayern (QmbS)

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    Using Different Data Sources for New Findings in Visualization of Highly Detailed Urban Data

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    Measurement of infrastructure has highly evolved in the last years. Scanning systems became more precise and many methods were found to add and improve content created for the analysis of buildings and landscapes. Therefore the pure amount of data increased significantly and new algorithms had to be found to visualize these data for further exploration. Additionally many data types and formats originate from different sources, such as Dibits hybrid scanning systems delivering laser-scanned point clouds and photogrammetric texture images. These are usually analyzed separately. Combinations of different types of data are not widely used but might lead to new findings and improved data exploration. In our work we use different data formats like meshes, unprocessed point clouds and polylines in tunnel visualization to give experts a tool to explore existing datasets in depth with a wide variety of possibilities. The diverse creation of datasets leads to new challenges for preprocessing, out-of-core rendering and efficient fusion of this varying information. Interactive analysis of different formats of data also has to have several approaches and is usually difficult to merge into one application. In this paper we describe the challenges and advantages of the combination of different data sources in tunnel visualization. Large meshes with high resolution textures are merged with dense point clouds and additional measurements. Interactive analysis can also create additional information, which has to be integrated precisely to prevent errors and misinterpretation. We present the basic algorithms used for heterogeneous data formats, how we combined them and what advantages are created by our methods. Several datasets evolve over time. This dynamic is also considered in our visualization and analysis methods to enable change detection. For tunnel monitoring this allows to investigate the entire history of the construction project and helps to make better informed decisions in the preceding construction phases or for repairs. Several methods are merged like the data they are based on enabling new ways of data exploration. In analyzing this new approach to look at heterogeneous datasets we come to the conclusion that the combination of different sources leads to a better solution than the sum of its parts

    Evidence-Based Research Series-Paper 2 : Using an Evidence-Based Research approach before a new study is conducted to ensure value

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    Background and Objectives There is considerable actual and potential waste in research. The aim of this article is to describe how using an evidence-based research approach before conducting a study helps to ensure that the new study truly adds value. Study Design and Setting Evidence-based research is the use of prior research in a systematic and transparent way to inform a new study so that it is answering questions that matter in a valid, efficient, and accessible manner. In this second article of the evidence-based research series, we describe how to apply an evidence-based research approach before starting a new study. Results Before a new study is performed, researchers need to provide a solid justification for it using the available scientific knowledge as well as the perspectives of end users. The key method for both is to conduct a systematic review of earlier relevant studies. Conclusion Describing the ideal process illuminates the challenges and opportunities offered through the suggested evidence-based research approach. A systematic and transparent approach is needed to provide justification for and to optimally design a relevant and necessary new study

    Evidence-Based Research Series-Paper 3: Using an Evidence-Based Research approach to place your results into context after the study is performed to ensure usefulness of the conclusion

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    Background and Objective There is considerable actual and potential waste in research. Using evidence-based research (EBR) can ensure the value of a new study. The aim of this article, the third in a series, is to describe an EBR approach to putting research results into context. Study Design and Setting EBR is the use of prior research in a systematic and transparent way to inform a new study so that it is answering questions that matter in a valid, efficient, and accessible manner. In this third and final article of a series, we describe how to use the context of existing evidence to reach and present a trustworthy and useful conclusion when reporting results from a new clinical study. Results We describe a method, the EBR approach, that by using a systematic and transparent consideration of earlier similar studies when interpreting and presenting results from a new original study will ensure usefulness of the conclusion. Conclusion Using an EBR approach will improve the usefulness of a clinical study by providing the context to draw more valid conclusions and explicit information about new research needs

    Simulation and visualization of the behavior of handicapped people in virtually reconstructed public buildings

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    Brunnhuber M, Schrom-Feiertag H, Hesina G, Bauer D, Purgathofer W. Simulation and visualization of the behavior of handicapped people in virtually reconstructed public buildings. In: REAL CORP. 2010

    Evidence-Based Research Series - Paper 2: Using an evidence-based research approach before a new study is conducted to ensure value

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    Background and Objectives There is considerable actual and potential waste in research. The aim of this article is to describe how using an evidence-based research approach before conducting a study helps to ensure that the new study truly adds value. Study Design and Setting Evidence-based research is the use of prior research in a systematic and transparent way to inform a new study so that it is answering questions that matter in a valid, efficient, and accessible manner. In this second article of the evidence-based research series, we describe how to apply an evidence-based research approach before starting a new study. Results Before a new study is performed, researchers need to provide a solid justification for it using the available scientific knowledge as well as the perspectives of end users. The key method for both is to conduct a systematic review of earlier relevant studies. Conclusion Describing the ideal process illuminates the challenges and opportunities offered through the suggested evidence-based research approach. A systematic and transparent approach is needed to provide justification for and to optimally design a relevant and necessary new study

    Evidence-Based Research Series - Paper 3: Using an Evidence-Based Research approach to place your results into context after the study is performed to ensure usefulness of the conclusion

    No full text
    Background and Objective There is considerable actual and potential waste in research. Using evidence-based research (EBR) can ensure the value of a new study. The aim of this article, the third in a series, is to describe an EBR approach to putting research results into context. Study Design and Setting EBR is the use of prior research in a systematic and transparent way to inform a new study so that it is answering questions that matter in a valid, efficient, and accessible manner. In this third and final article of a series, we describe how to use the context of existing evidence to reach and present a trustworthy and useful conclusion when reporting results from a new clinical study. Results We describe a method, the EBR approach, that by using a systematic and transparent consideration of earlier similar studies when interpreting and presenting results from a new original study will ensure usefulness of the conclusion. Conclusion Using an EBR approach will improve the usefulness of a clinical study by providing the context to draw more valid conclusions and explicit information about new research needs

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