25,757 research outputs found
Analytics-Driven Digital Platform for Regional Growth and Development: A Case Study from Norway
In this paper, we present the growth barometer (Vekstbarometer in Norwegian),
which is a digital platform that provides the development trends in the
regional context in a visual and user-friendly way. The platform is developed
to use open data from different sources that is presented mainly in five main
groups: goals, premises or prerequisites for growth, industries, growth, and
expectations. Furthermore, it also helps to improve decision-making and
transparency, as well as provide new knowledge for research and society. The
platform uses sensitive and non-sensitive open data. In contrast to other
similar digital platforms from Norway, where the data is presented as raw data
or with basic level of presentations, our platform is advantageous since it
provides a range of options for visualization that makes the statistics more
comprehensive.Comment: The Thirteenth International Conference on Digital Society and
eGovernments (ICDS 2019
Scalable Approach to Uncertainty Quantification and Robust Design of Interconnected Dynamical Systems
Development of robust dynamical systems and networks such as autonomous
aircraft systems capable of accomplishing complex missions faces challenges due
to the dynamically evolving uncertainties coming from model uncertainties,
necessity to operate in a hostile cluttered urban environment, and the
distributed and dynamic nature of the communication and computation resources.
Model-based robust design is difficult because of the complexity of the hybrid
dynamic models including continuous vehicle dynamics, the discrete models of
computations and communications, and the size of the problem. We will overview
recent advances in methodology and tools to model, analyze, and design robust
autonomous aerospace systems operating in uncertain environment, with stress on
efficient uncertainty quantification and robust design using the case studies
of the mission including model-based target tracking and search, and trajectory
planning in uncertain urban environment. To show that the methodology is
generally applicable to uncertain dynamical systems, we will also show examples
of application of the new methods to efficient uncertainty quantification of
energy usage in buildings, and stability assessment of interconnected power
networks
Using ontology in query answering systems: Scenarios, requirements and challenges
Equipped with the ultimate query answering system, computers would finally be in a position to address all our information needs in a natural way. In this paper, we describe how Language and Computing nv (L&C), a developer of ontology-based natural language understanding systems for the healthcare domain, is working towards the ultimate Question Answering (QA) System for healthcare workers. L&C’s company strategy in this area is to design in a step-by-step fashion the essential components of such a system, each component being designed to solve some one part of the total problem and at the same time reflect well-defined needs on the prat of our customers. We compare our strategy with the research roadmap proposed by the Question Answering Committee of the National Institute of Standards and Technology (NIST), paying special attention to the role of ontology
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