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A design and optimization method for matching the torque of the wind turbines
(AIP Publishing, 2015)
An aerodynamic shape optimization method for a horizontal axis wind turbine is developed and verified through experimentation with a laboratory-scale wind turbine. Our method is based on matching the rotor's and the coupled ...
Deep reinforcement based power allocation for the max-min optimization in non-orthogonal multiple access
(IEEE, 2020)
NOMA is a radio access technique that multiplexes several users over the frequency resource and provides high throughput and fairness among different users. The maximization of the minimum the data-rate, also known as ...
A Complete procedure for predicting and improving the performance of HAWT's
(IOP Publishing, 2014)
A complete procedure for predicting and improving the performance of the horizontal axis wind turbine (HAWT) has been developed. The first process is predicting the power extracted by the turbine and the derived rotor ...
A torque matched aerodynamic performance analysis method for the horizontal axis wind turbines
(Wiley, 2013-11)
An analysis method is developed to test the operational performance of a horizontal axis wind turbines. The rotor is constrained to the torque–speed characteristic of the coupled generator. Therefore, the operational ...
Integrating social network effects in the share-of-choice problem
(Wiley, 2017-12)
Accounting for social network effects in marketing strategies has become an important issue. Taking a step back, we seek to incorporate and analyze social network effects on new product development and then propose a model ...
Resource allocation for visible light communication systems using simulated annealing based on a problem-specific neighbor function
(IEEE, 2019)
In this paper, we consider a visible light communication (VLC) system with direct current-biased orthogonal frequency division multiplexing (DC-OFDM) and investigate resource allocation for a multi-user environment. Based ...
Adapted infinite kernel learning by multi-local algorithm
(World Scientific Publishing Co, 2016-05)
The interplay of machine learning (ML) and optimization methods is an emerging field of artificial intelligence. Both ML and optimization are concerned with modeling of systems related to real-world problems. Parameter ...
A new methodology to determine the design sensitivity of critical automotive body joints for basic design cycle
(Sage, 2019-09)
As a result of more stringent requirements for improved fuel economy and emissions, there has been an increasing research activity to make vehicles lighter weight under some predetermined structural performance targets ...
Optimization of the intermediate layer friction stir spot welding process
(Springer Nature, 2019-09)
Friction stir spot welding was performed for joining sheets of 2024 and 6061 aluminum alloys, which is otherwise difficult using conventional welding techniques. The presented approach utilizes an intermediate layer to ...
A methodology to optimize damping pad application on a complex structure using finite element models
(International Institute of Acoustics and Vibration, IIAV, 2018)
Passive constrained layer damping patches have been extensively used for vibration and acoustics applications due to their capability to dissipate vibrational energy into heat. In this study, we perform an optimization ...
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