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Design sensitivity and optimization of powertrain mount system design parameters for rigid body modes and kinetic energy distributions
(Springer Nature, 2020-08-24)
This study evaluates the influences of the powertrain mount design parameters on the frequencies of powertrain rigid body modes and their kinetic energy distributions (KEDs), which play an important role in the low-frequency ...
Deep Q-learning based optimization of VLC systems with dynamic time-division multiplexing
(IEEE, 2020)
The traditional method to solve nondeterministic-polynomial-time (NP)-hard optimization problems is to apply meta-heuristic algorithms. In contrast, Deep Q Learning (DQL) uses memory of experience and deep neural network ...
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 ...
Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods
(Taylor & Francis, 2022-07-03)
This study examines the capability of various optimization algorithms and proposes novel hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The natural frequencies of the beam with a ...
The effect of spotwelds and structural adhesives on static and dynamic characteristics of vehicle body design
(Sage, 2021-10)
Spotwelding and structural adhesive applications are two important processes in the automotive industry as they are closely associated with the functional requirements, weight, and cost of the vehicle. Even though there ...
An efficient design methodology for graded surface-based lattice structures using free-size optimization and enhanced mapping method
(Elsevier, 2021-11-15)
In this paper, a novel Free-size Optimization based Graded Lattice Generation (FOGLG) method, that generates the functionally graded lattice (FGL) structures using free-size optimization, is proposed. In addition, the ...
Minimizing cogging torque in permanent magnet synchronous generators for small wind turbine applications
(Gazi University, 2021-06)
Permanent magnet synchronous generators have a wide usage among electric machines, especially in small wind turbine systems. However permanent magnet synchronous generators suffer from cogging torque due to the magnetic ...
Can social agents efficiently perform in automated negotiation?
(MDPI, 2021-07)
In the last few years, we witnessed a growing body of literature about automated negotiation. Mainly, negotiating agents are either purely self-driven by maximizing their utility function or by assuming a cooperative stance ...
Rethinking temporal demand data to reduce distribution transformer losses: A case study from a Turkish DSO
(IEEE, 2021)
With the increase in digital measurement and monitoring devices in the Turkish electricity grid, the possibilities of processing the obtained data and revealing meaningful information are also increasing. In this project, ...
SLIPT for underwater visible light communications: Performance analysis and optimization
(IEEE, 2021-10)
In this paper, we investigate simultaneous lightwave information and power transfer (SLIPT) for underwater visible light communication systems. We consider three SLIPT methods namely time switching (TS), power splitting ...
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