SUMMARY

The research in “Content Based Query Concept for Exploration and Discovery of Information in Earth Observation and Medical Libraries” – CONCEDE project aims at enhancing the functionalities of the Earth Observation (EO) Payload Ground Segment systems and the next-generation services for an enhanced data realisation.
With an exponential increase of available data volume, the need for a new generation of data mining tools and knowledge discovery in databases concepts becomes emergent. CONCEDE pursues to develop a complete and embracive theoretical and applicative framework that will allow for a compendious exploration of heterogeneous data resources, resulting in the discovery of semantic information hidden in image libraries. A demonstrator will be generated in order to validate and evaluate the capabilities of the proposed concept. The project’s objectives envisage three main contribution: to European Space Agency (ESA) research activities, to new applications solutions development and to scientifically development.

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SOLUTIONS

• Developing a complete theoretical and applicative framework that will allow for a comprehensive exploration of heterogeneous data resources, resulting in the discovery of semantic information hidden in image libraries
• Analyzing the image content through data compression algorithms which do not require any prior knowledge extraction and it are completely parameter free

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LINK:http://ceospacetech.pub.ro/index.php/research/concede

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Back to Latvia

SUMMARY

Information and communications technology can increase infrastructure usage, improve safety, enhance travellers access to information and reduce transportation times as well as fuel consumption. Therefore advanced Intelligent Transportation Systems (ITS) are becoming increasingly widespread as a mean of optimizing transit operations and infrastructure usage. However, models currently used to describe and predict passengers lows across the network do not take adequately into consideration the effects brought about by ITS on transit operations and on user behavior. Hence, transport planning based onto ITS is not completely meaningful and does not exploit to the full the amount of high quality data made availabl. This deficiency can delay the realization of the benefits of enhanced passenger information provision.

The project aims to gathers together researchers in the field of transport and urban and regional planning, transport operators and authorities, consultancies and software developers. The main goal is to exchange knowledge and research in the field of transit assignment models, tailored to the era of Intelligent Transport Systems.

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SOLUTIONS

• Improving on existing solutions in the field of transit assignment models
• Increasing infrastructure usage, improving safety, enhancing travellers’ access to information and reducing transportation times as well as fuel consumption

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LINK:http://www.tsi.lv/lv/content/cost-action-tu1004-modelling-public-transport-passenger-flows-era-intelligent-transport

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Back to Latvia

SUMMARY

The main objective of the project is the creation of new innovative technology solutions to support healthcare systems of the next generation. In the near future, genomic medicine will be fully integrated in the care of patients and genomic data will be part of the medical information of each of us. If this scenario impacts positively on our lives (eg., Diagnosis genomic allow to treat individuals according to personalized therapies), at the same time several issues are raised which need to be addressed such as the way in which genomic data are modeled and queried, or the need to protect the privacy of sensitive information. In this project, the research team will focus on aspects of security and privacy, the key factors for successful integration of genomics in healthcare systems. How do we ensure that our sensitive genomic data are adequately protected? How to ensure that the privacy of individuals who participate in medical studies to be preserved? How to assure that only authorized parties to access genomic data? UNIMI will answer these and other questions by developing innovative solutions that address the issues of security and privacy related to the storage, collection, dissemination and use of genomic data.

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SOLUTIONS

• Designing the data model GenData 2020 given the diversity of genomic data and providing a high-level language for the selective extraction of data.
• Collaborating in the definition of the data model to ensure that includes the features needed for the specification and implementation of security controls and privacy.
• Developing a formal and rigorous semantics for (part of) the conceptual model and define an executable formal semantics for the query language.
• Identifying the properties that must be met by cryptographic solutions used for data and applications.
• Developing an expressive and flexible model, a language and a mechanism for controlling access to the specification and implementation of permissions that govern access to genomic data.

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Back to Italy

SUMMARY

Control system paradigms, based on Internet of Things technology, are an essential part of modern software systems. In the FReSCo project, a model will be developed for future resilient control systems capable of measuring a wide set of observables, including inexact ones derived from the environment. Because of the differences in the resources, protocols, and devices, inexact observables are incomparable with rigorous control system data. Hence, it is not easy to build systems which can incorporate such data. It is therefore necessary to derive a method for identifying and representing relevant context, as well as proposing a method which will describe the relation between the raw observables and the data.

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SOLUTIONS

• Investigating the use of formal methods to solve the problem
• Providing reusable solutions improving the development of industrial processes for future resilient control systems.

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LINK:http://monet.uef.fi/wiki/FResCo

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Back to Finland

SUMMARY

The objective of the WallViz research project is to use develop wall-sized, interactive displays to improve decision making processes based on massive collections of data. The academic project participants address this objective in collaboration with case partners working in healthcare, finance, and sustainability. Their analysis of data is essential for the efficient use of resources and has direct consequences for businesses and society, for instance, by improving the resource efficiency of the healthcare sector, analyzing resource expenditure in companies, and helping to address climate change.

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SOLUTIONS

• Developing highly interactive, wall-sized visualisations that allow fast-paced interactive and collaborative exploration of massive collections of data.
• Inventing database techniques which allow for fast response to ad-hoc user queries and for finding interesting starting points for subsequent interactive exploration.
• Understanding the problem areas, needs, and data analysis practices in case partners’ work, grounding the research in important and concrete concerns.
• Integrating and evaluating visualisations in case partners’ work, aiming at improving analyses of massive data collections and, consequently, decision-making.

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LINK: http://wallviz.dk/

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Back to Denmark