PROJEKTI
   

Project
Acronym: VISINEV 
Name: VISually augmented analysis of complex INformation structures EVolving in socio-technical systems 
[PROJECT URL | CORDIS URL]
Project status: From: 2013-07-01 To: 2015-06-30 (Completed)
Contract number:  
Action line:  
Type (Programme): Eureka 
Instrument: EUREKA 
Project cost: 500.000,00 EUR
Project funding: 250.000,00 EUR
Project coordinator
Organisation Name: [KEEI] Končar Institut za elektrotehniku, Zagreb 
Organisation adress: Fallerovo šetalište 22, Zagreb 
Organisation country: Croatia 
Contact person name: Zlatka Tečec-Ribarić 
Contact person email: Email 
Croatian partner
Organisation name: Fakultet strojarstva i brodogradnje 
Organisation address: Ivana Lucica 5, Zagreb 
Contact person name: Mario Štorga
Contact person tel:
0038516168432  Contact person fax: 003816168284 
Contact person e-mail: Email 
Partners
Organisation nameCountry
CALYX d.o.o. Croatia 
TPV Automotive Industry, Novo mesto Slovenia 
Short description of project
The application and further development of the effective visualisation and analysis techniques for the complex information structures that evolve in complex engineering projects is one of the key scientific challenges recognised as needed by the industry. From case studies conducted as a part of our previous research, it is recognised that a traceability episode for a mid-complex products-service systems could acquire a significant amount of recorded content (process and product-service oriented) relevant for the information evolution. For correct interpretation of the recorded traces it is essential to have a manageable information structure together with the interfaces and procedures for searching and/or navigating among the semantic records that contain few thousands or ten thousands of elements. To continue further with development we would like to develop a generic tool for visualisation and analysis of the complex structures representing information dynamics and evolution in socio-technical systems. To accomplish that, the following objectives should be met: • Real-time large scale information network topology evolution in hierarchical R&D and manufacturing organisations • On-the-fly dynamic metric of a large scale information network augmented with appropriate visualisation effects performed on network's entities to emphasize information flow and processing. • To perform search on large-scale information networks and to record and observe the evolution of emerging processes and effects taking place on networks such as reaching the information network's transition points at respective evolution steps, or formations of giant clusters and modules.  
Short description of the task performed by Croatian partner
 


   

 


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