Bingel, Ferit
Data availability is of vital importance for marine research but most of the European data are fragmented, not always validated and not easily accessible. In the 40 countries bordering the European seas, more than 600 scientific laboratories from governmental organizations and private industry collect data by using various sensors on board of research vessels, submarines, fixed and drifting platforms, airplanes and satellites to measure physical, geophysical, geological, biological and chemical parameters, biological species etc. SEADATANET aims to develop an efficient distributed Pan-European Marine Data Management Infrastructure for managing these large and diverse data sets. The objective is to network the existing professional data centres of 35 countries, active in data collection, and provide integrated databases of standardized quality on-line. The on-line access to in-situ and remote sensing data, meta-data and products will be provided through a unique portal interconnecting, in the first phase, 11 interoperable node platforms. The development and adoption of common communication standards and adapted technology will ensure the platforms interoperability. This activity will be developed to gradually connect all the other data centres to the interoperable system. The quality, compatibility and coherence of the data issuing from so many sources, will be ensured by adopting standardized methodologies for data checking, by dedicating part of the activities to training and preparation of synthesised regional and global statistical gridded products from the most comprehensive in-situ and remote sensing data sets made available by the participants. These products, easier to interpret by non-specialist users, will be used first to check the data and the system operability, and further to market SEADATANET and to serve a wider range of uses than raw data: e.g. model initialisation, industrial projects and teaching.


Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
Bilge, Yunus Can; Yucel, Mehmet Kerim; Cinbiş, Ramazan Gökberk; İKİZLER CİNBİŞ, NAZLI; DUYGULU ŞAHİN, PINAR (2021-01-01)
In many real-world problems, there is typically a large discrepancy between the characteristics of data used in training versus deployment. A prime example is the analysis of aggression videos: in a criminal incidence, typically suspects need to be identified based on their clean portrait-like photos, instead of their prior video recordings. This results in three major challenges; large domain discrepancy between violence videos and ID-photos, the lack of video examples for most individuals and limited trai...
Zaytsev, Andrey; Beresnev, Pe; Flatov, Vlad; Makarov, Vlad; Tyugın, Dımıtrı; Zezıulın, Dı; Pelınovsky, Efım; Yalçıner, Ahmet Cevdet; Yalcıner, Bora; Oshmarına, Olga; Kurkın, Andrey (2017-10-01)
The development and safe utilization of modern coastal infrastructure necessitates strict requirements of quality in operational and statistical information about the wave modes of the ports and bays that is impossible without carrying out long term high-precision measurements, monitoring, data analysis and applications to design. Stationary monitoring of the extreme marine hazards in coastal areas, port and bays is of great scientific interest and has the expressed applied aspect connected with safety in t...
Uncertainty models for vector based functional curves and assessing the reliability of G-Band
Kurtar, Ahmet Kürşat; Düzgün, H. Şebnem; Department of Geodetic and Geographical Information Technologies (2006)
This study is about uncertainty medelling for vector features in geographic information systems (GIS). It has mainly two objectives which are about the band models used for uncertainty modelling . The first one is the assessment of accuracy of GBand model, which is the latest and the most complex uncertainty handling model for vector features. Some simulations and tests are applied to test the reliability of accuracy of G-Band with comparing Chrisman’s epsilon band model, which is the most frequently used b...
Integration of geophysical - geological data using geographic information systems
Şirinyıldız, Tunç; Toprak, Vedat; Department of Geodetic and Geographical Information Technologies (2003)
This study attempts to integrate geophysical data with other spatial data using Geographic Information Systems (GIS). The study is carried out in a part of Galatean Volcanic Province, north of Ankara. Gravity, magnetic, topographic, rock type and volcanic eruption center data are the data layers used in the study. All data layers are converted to raster format with a grid spacing of 100 m. The first step in the analysis is the pair-wise analyses of all data layers. For the geophysical data, different layers...
Using operational data for decision making a feasibility study in rail maintenance
Marsh, William; Nur, Khalid; Yet, Barbaros; Majumdar, Arnab (2016-05-01)
In many organisations, large databases are created as part of the business operation: the promise of ‘big data’ is to extract information from these databases to make smarter decisions. We explore the feasibility of this approach for better decision-making for maintenance, specifically for rail infrastructure. We argue that the data should be used within a Bayesian framework with the aim of inferring the underlying state of the system so we can predict future failures and improve decision-making. Within thi...
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