scholarly journals A control-based methodology for power-performance optimization in NoCs exploiting DVFS

2015 ◽  
Vol 61 (5-6) ◽  
pp. 197-209 ◽  
Author(s):  
Davide Zoni ◽  
Federico Terraneo ◽  
William Fornaciari
2016 ◽  
Vol 749 ◽  
pp. 012010
Author(s):  
Vasilis Pettas ◽  
Thanasis Barlas ◽  
Drew Gertz ◽  
Helge A Madsen

2013 ◽  
Vol 712-715 ◽  
pp. 1609-1613 ◽  
Author(s):  
Jie Lin ◽  
Feng Wu ◽  
Jin Hua Fei ◽  
Tuo Wang

The relationship between exergy efficiency and output acoustic power of the thermoacoustic engine microcycle model which only was accounted for the heat resistance had been analyzed using finite time thermodynamics.And through the new objective function,we obtain the optimization that not only obtain high exergy efficiency but also high output acoustic power at the same time.Optimized imperfection that we only pursue the high exergy efficiency, we obtain low output acoustic power and vice versa.We approve this conclusion by numerical calculation.The results that we obtained will be useful to optimal the design of a actual thermoacoustic engine.


MENDEL ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 55-62
Author(s):  
Hadi Abdollahzadeh Sangroudi

In This paper the redundancy and imperfect opportunistic maintenance optimization of a multi-state weighted k-out-of-n system is formulated. The objective is to determine the k-out-of-n system redundancy level and the maintenance strategy which will minimize the wind farm life cycle cost subject to an availability constraint. A new condition based opportunistic maintenance approach is developed. Different component health state thresholds are introduced for imperfect maintenance of failed subsystems and working subsystems and preventive dispatching of maintenance teams. In addition, a simulation method is developed to evaluate the performance measures of the system considering different types of subsystems, maintenance activation delays and durations, limited number of maintenance teams, and discrete inspection of the system. Also, a multi-seed tabu search heuristic algorithm is also proposed to solve the formulated problem. An application to the optimal design of a wind farm is provided to illustrate the proposed approach.


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