Filtyp
As science and technology evolve, interdisciplinary targets are anything but static, introducing additional levels of complexity and challenging further the initiatives to break the barriers to interdisciplinary research. For over a decade the community of the Environmental Research Infrastructures, forming the ENVRI cluster, has been building strong foundations to overcome these challenges and be
In the ENVRI-FAIR project brief on implementation of Open Science and EOSC targets the current achievements and planned activities in ENVRI-FAIR are summarised with regard to a) Integration with the EOSC infrastructure b) FAIR principles implementation and repositories c) Technical, semantic, legal and organisational interoperability d) Stewardship of data and e) Cross-cluster collaboration activi
The ENVRI-Hub design study contains the analysis of the technical preconditions for the successful implementation of the design ENVRI-Hub as a centralised access interface to environmental data and services building upon the increase of FAIRness achieved in the ENVRI-FAIR project; it will be based on the validation results from WP7 and Task T5.4, and the achievements in the subdomain implementatio
During the firstyear of the project the cluster worked on the data service requirement tracking and a technology landscape and gap analysis on the RI FAIR data/services level, to provide an up-to-date investigation of the most common gaps the ENVRIs need to bridge with respect to the FAIR principles and the EOSC requirements. The FAIRness analysis (D5.1) established that the participating RIs disp
This report presents the extended implementation of the FAIR principles by ICOS Atmosphere during the ENVRI-FAIR project.
Environmental research infrastructures designed for monitoring all domains of the Earth system (oceans, atmosphere, ecosystems, and solid earth) contribute to global observing systems and serve as crucial information sources for environmental scientists in their quest for understanding and interpreting the complex Earth System. The EU funded ENVRI-FAIR project builds on the Environmental Research
Data clustering is considered an important component of data mining which aims to split a given dataset into disjoint groups having the same similarities. The developed techniques for clustering have some challenges to cluster entities in complex search space and most of them aim to maximize the sum of inter-cluster distances and minimize the sum of intra-cluster distances. This objective function
In this paper, we revisit the rotation averaging problem applied in global Structure-from-Motion pipelines. We argue that the main problem of current methods is the minimized cost function that is only weakly connected with the input data via the estimated epipolar geometries. We propose to better model the underlying noise distributions by directly propagating the uncertainty from the point corre
The usage of robots in industry is transforming. Traditionally, robots have been deployed to automate monotonous tasks through manual programming, excelling in speed and precision yet lacking flexibility. Now, as part of Industry 4.0, the paradigm is shifting towards collaborative robotics, where robots are expected to interact dynamically with their environment and handle non-repetitive tasks. Th
The upcoming Artificial Intelligence (AI) Act is the European Union's attempt to regulate high-risk AI systems and foundation models. We give an up-to-date overview of the act's key requirements, explain how the high-risk classification works, and highlight what matters for its operationalization.
The acquisition and dissemination of essential information for understanding global biogeochemical interactions between the atmosphere and ecosystems and how climate-ecosystem feedback loops may change atmospheric composition in the future comprise a fundamental prerequisite for societal resilience in the face of climate change. In particular, the detection of trends and seasonality in the abundan
The unique in situ measurements of clouds and precipitation within the shallow and deep cumulus over the north-eastern Arabian Sea region during the Indian monsoon are illustrated in this study with a focus on droplet spectral parameters. The observational period showed a significant incursion of Arabian dust and the presence of giant cloud condensation nuclei (GCCN), modifying the cloud and preci
The present study illustrates the microphysical parameters of nimbostratus clouds during the Indian summer monsoon using airborne and radar observations conducted as part of the Cloud Aerosol Interaction and Precipitation Enhancement Experiment (CAIPEEX), and simulations with the Weather Research and Forecasting (WRF) model. The study also analyzes the impact of secondary ice production (emphasizi
A system has been developed to convert manual wheelchairs into electric wheelchairs, providing assistance to users through the implemented algorithm, which ensures safe driving and obstacle avoidance. While manual wheelchairs are typically controlled indoors based on user preferences, they do not guarantee safe driving in areas outside the user’s field of vision. The proposed model utilizes the dy
IntroductionData regarding the impact of adenomyosis on the outcomes after in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) treatment are conflicting. Standardized diagnostic criteria are prerequisites for studying a potential association between adenomyosis and IVF/ICSI treatment outcomes. This study aims to examine the cumulative live birth rate (CLBR) after the first IVF/
Solar energy simulations are used to quantify the potential of the passive use (daylight, solar gains) and the active use (photovoltaics and solar thermal) of solar energy. The simulations can be performed at different scales e.g. buildings, neighbourhoods and cities, with different requirements on the data. For example, for the neighbourhood simulations we need simplified building geometries that
Unfair work distribution is common in project-based learning with teams of students. One contributing factor is that students are differently skilled developers. To mitigate the differences in a course with group work, we introduced mandatory programming lab sessions. The intervention did not affect the work distribution, showing that more is needed to balance the workload. Contrary to our goal, t
