Cel - Introduce a new and up-to-date design technology which, to a previous analysis, did not appear to be economical for a small enterprise. - Compare the cost of design of electronic modules using traditional methods and a high level automated system.- Improve the quality of electronic design with the use of automatic simulation and timing analysis.- Increase the competitive position of the company by the reduction of time-to-market of new products and more modular structures in the products.- Analyse the time required to prepare all necessary tools (hardware and software) to make the board testable on automatic testing machines in production.- Increase the productivity of designers allowing them to concentrate on system functionality described as an algorithm rather than in terms of circuits and gates.The object of this Application Experiment is a full and practical test for assessing the actual advantages to be obtained by a small enterprise in using a modern (and very expensive) automated synthesis tool (SYNOPSYS) for the design of electronic systems based on full-programmable devices. The experiment is based on the complete design of a family of modular units for actuating a variety of I/O devices interconnected with a fibre optic link. Dziedzina nauki natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemssocial scienceseconomics and businesseconomicsproduction economicsproductivitynatural sciencesphysical sciencesopticsfibre optics Program(-y) FP4-ESPRIT 4 - Specific research and technological development programme in the field of information technologies, 1994-1998 Temat(-y) 2.7 - Semiconductors - Building blocks, methods & tools Zaproszenie do składania wniosków Data not available System finansowania ACM - Preparatory, accompanying and support measures Koordynator Selca Wkład UE Brak danych Adres Corso Vercelli 123 10015 Ivrea To Włochy Zobacz na mapie Koszt całkowity Brak danych