ProceedingsIEEE, 1997 - Artificial intelligence |
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Page 281
... detection / recovery method [ 7 ] based on digraph representation and for which the phase detection is cheap ; the second is a prevention method based on Petri Nets structure theory results and for which the restriction on the resource ...
... detection / recovery method [ 7 ] based on digraph representation and for which the phase detection is cheap ; the second is a prevention method based on Petri Nets structure theory results and for which the restriction on the resource ...
Page 424
... detected in the two sides of it ( higher than 35 ) and the obtained gradients detect the presence of SMT component . The explained gradient technique and its respective detection algorithm is depicted in figure 6 . For finding the ...
... detected in the two sides of it ( higher than 35 ) and the obtained gradients detect the presence of SMT component . The explained gradient technique and its respective detection algorithm is depicted in figure 6 . For finding the ...
Page 425
... detected by MVI station . Just - In - Time ( JIT ) manufacturing methods are best supported by the feedback ... detection flowchart of non SMT components Line of gradients control SMT Selection area Line of gradients control . Insulating ...
... detected by MVI station . Just - In - Time ( JIT ) manufacturing methods are best supported by the feedback ... detection flowchart of non SMT components Line of gradients control SMT Selection area Line of gradients control . Insulating ...
Contents
Innovations in Design and Integrated | 1 |
Creative and Innovative Manufacturing | 4 |
Y Fan and C Wu Tsinghua Univ | 7 |
Copyright | |
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according activities algorithm allows analysis application approach architecture assembly ATRT Automation called communication complete components considered constraints control system cost customers decision defined described determined dispatching distributed dynamic effective Engineering enterprise environment error estimated example exists Figure fixture flexible flow function given implementation important improvement industrial input integration interaction interface INTRODUCTION knowledge lead learning load locating machine manuals manufacturing means measurements method nets object obtained operation optimal output parameters performance Petri planning plant position possible presented problem proposed prototype real-time reference represents requirements robot rules scheduling selected sequence server shown shows simulation solution specific standard station structure task token tool transition unit University virtual