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Báo cáo hóa học: " Editorial Embedded Systems Design in Intelligent Industrial Automation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Embedded Systems Design in Intelligent Industrial Automation | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2008 Article ID 194697 2 pages doi 10.1155 2008 194697 Editorial Embedded Systems Design in Intelligent Industrial Automation Luca Ferrarini 1 Jose L. Martinez Lastra 2 Allan Martel 3 Antonio Valentini 4 and Valeriy Vyatkin5 1 Dipartimento di Elettronica e Informazione Politecnico di Milano Milano 20133 Italy 2 Department of Production Engineering Tampere University of Technology 33101 Tampere Finland 3 O3neidaInc. 135 Dunbarton Court Ottawa Ontario Canada K1K4L6 4 O3neida Europe 42 rue de l Eglise 1150 Brussels Belgium 5 Department of Electrical and Computer Engineering University of Auckland Private Bag 92019 Auckland 1142 New Zealand Correspondence should be addressed to Valeriy Vyatkin v.vyatkin@auckland.ac.nz Received 16 January 2008 Accepted 16 January 2008 Copyright 2008 Luca Ferrarini et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Industrial automation IA is the vast area of embedded computing devoted to industrial applications. Apart from many tailored solutions numerical controllers hardware controllers etc. the scene is dominated by programmable logic controllers widely known by the abbreviation PLC which represent the most wide-spread class of embedded computing platforms. In the past the progress in embedded technologies has determined qualitative breakthroughs in the performance of automation systems their affordability and efficiency of their design. Intelligent industrial automation IIA has appeared as a branch of research and development answering the challenges of flexible and adaptive manufacturing which require mass customization instead of mass production. It stipulates the use of information and communication technology ICT methods and tools for creating self-configurable or easily-reconfigurable .