Emerging Trends in Technological Innovation: First IFIP WG by Patrícia Macedo, Luis M. Camarinha-Matos (auth.), Luis M.

By Patrícia Macedo, Luis M. Camarinha-Matos (auth.), Luis M. Camarinha-Matos, Pedro Pereira, Luis Ribeiro (eds.)

This booklet constitutes the refereed lawsuits of the 1st IFIP WG 5.5/SOCOLNET Doctoral convention on Computing, electric and business platforms, DoCEIS 2010, held in Costa de Caparica, Portugal, in February 2010.

The sixty two revised complete papers have been conscientiously chosen from quite a few submissions. They hide a large spectrum of issues starting from collaborative firm networks to microelectronics.The papers are prepared in topical sections on company networks and strategic alignment; info structures; collaborative networks aid; threat evaluate and choice aid; evolvable manufacturing facility automation; cooperative robots; robots and manipulation; Petri nets dependent modeling; telecommunications; sensorial belief; sign processing; power platforms; committed strength platforms; electric equipment; electronics layout and attempt; and digital circuits.

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Extra resources for Emerging Trends in Technological Innovation: First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, Costa de Caparica, Portugal, February 22-24, 2010. Proceedings

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In: Conference on Systems Engineering Research, Stevens Institute of Technology Campus, USA (2007) 31. : An IT management assessment framework: evaluating enterprise architecture scenarios. Inf. Syst. E-Business Management 5(4), 415–435 (2007) 32. : A method of business and IT alignment based on enterprise architecture (2008) 33. : Frameworks: comparison and correspondence for three archetypes (2002) 34. EN/ISO 19439 Enterprise integration — Framework for enterprise modeling (2006) 35. EN/ISO 19440 Enterprise integration — Constructor for enterprise modeling (2007) 36.

4 Experimental Results To evaluate the ET-DRN algorithm, we started by applying it to a labeled astronomical database [13]. The precision of the algorithm was computed based on the previous labels. In both databases, objects are represented by 13 attributes (Table 1), a discussion of which can be found in [14]. The labeled database includes approximately 10,000 objects, categorized into 9 classes. Table 1. Name and description of the employed attributes Name Log-f1 Log-f2 Log-af1h1-t Log-af1h2-t Log-af1h3-t Log-af1h4-t Log-af2h1-t Log-af2h2-t Log-crf10 Pdf12 Varrat B-V V-I Description log of the first frequency log of the second frequency log amplitude first harmonic first frequency log amplitude second harmonic first frequency log amplitude third harmonic first frequency log amplitude fourth harmonic first frequency log amplitude first harmonic second frequency log amplitude second harmonic second frequency amplitude ratio between harmonics of the first frequency phase difference between harmonics of the first frequency variance ratio before and after first frequency subtraction color index color index The precision values were calculated using the well-known True Positive formula (Formula 2).

Virtual museum objects are stored in heritage content management systems. g. the dates and places of their creation, storage and renovation. In many content management systems objects are also mutually linked according to their semantic conceptual relationships. Current heritage content management systems usually allow users to search for cultural objects, however, the search capabilities provided are quite limited. The problem is that concepts related to cultural objects are dependent on time and geographical location, can evolve over time, and may have different meaning in different locations.

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