Results 41 to 50 of about 5,692 (245)

Optimization of a Speed Controller of a WECS with Metaheuristic Algorithms

Engineering Proceedings, 2023
This paper describes the modeling and control of a high-power wind energy conversion system (WECS) using a variable speed doubly fed induction generator (DFIG) with the application of an MPPT method to obtain the maximum power from the system. We applied
Chetioui Lotfi, Zennir Youcef, Arabi Marwa, Horst Schulte, Mechhoud El-Arkam, Bendib Riad   +5 more
doaj   +1 more source

Process Optimization of Biodiesel Production Using the Laplacian Harris Hawk Optimization (LHHO) Algorithm

Modelling and Simulation in Engineering, 2022
Continuous power consumption from standard fuel resources is responsible for producing large-scale environmental greenhouse gases. Production of biodiesel fuels from the vegetable oils can be considered an alternative source.
Ashutosh Sharma, Akash Saxena, Shail Kumar Dinkar, Rajesh Kumar, Ameena Saad Al-Sumaiti   +4 more
doaj   +1 more source

Optimization of a Speed Controller of a DFIM with Metaheuristic Algorithms

Engineering Proceedings, 2023
This study proposes a control architecture based on iterative stochastic algorithms to control the doubly-fed induction machine (DFIM), often used in wind systems. We briefly present the modeling of this machine.
Chetioui Lotfi, Zennir Youcef, Arabi Marwa, Horst Schulte, Bendib Riad, Mechhoud El-Arkam   +5 more
doaj   +1 more source

Search for the standard model Higgs boson decaying to bottom quarks in pp collisions at √s = 7 TeV [PDF]

, 2012
A search for the standard model Higgs boson (H) decaying to b[bar over b] when produced in association with weak vector bosons (V) is reported for the following modes: W(μν)H, W(eν)H, Z(μμ)H, Z(ee)H and Z(νν)H.
Alver, B., Bauer, Gerry P., Bendavid, Joshua L., Busza, Wit, Butz, Erik M., Cali, Ivan Amos, Chan, M., Dutta, V., Gomez-Ceballos, Guillelmo, Goncharov, Maxim, Hahn, Kristian Allan, Kim, Y., Klute, Markus, Lee, Y.-J., Li, W., Luckey, P. David, Jr., Ma, Teng, Nahn, Steven, Paus, Christoph M. E., Ralph, Duncan Kelley, Roland, Christof E., Roland, Gunther M., Rudolph, Matthew Scott, Stephans, George S. F., Stockli, Fabian, Sumorok, Konstanty C., Sung, Kevin Kai Hong, Velicanu, Dragos Alexandru, Wenger, Edward Allen, Wolf, R., Wyslouch, Boleslaw, Xie, S., Yang, M., Yilmaz, Yetkin, Yoon, A. S., Zanetti, Marco   +35 more
core   +7 more sources

Comparison of NASA-TLX scale, Modified Cooper-Harper scale and mean inter-beat interval as measures of pilot mental workload during simulated flight tasks [PDF]

, 2019
The sensitivity of NASA-TLX scale, modified Cooper–Harper (MCH) scale and the mean inter-beat interval (IBI) of successive heart beats, as measures of pilot mental workload (MWL), were evaluated in a flight training device (FTD).
Harris, Don, Mansikka, Heikki, Virtanen, Kai   +2 more
core   +1 more source

FUSION OF HARRIS HAWK’S AND PARTICLE SWARM OPTIMIZATION TO IMPROVE PERFORMANCE IN WIRELESS NETWORK

International Journal of Advances in Signal and Image Sciences, 2023
Wireless networks will develop as multi-hop transmission exploits among mobile nodes to communicate data packets. The unique features of wireless networks make it difficult for mobile nodes to communicate reliably.
Herbert Raj P, Ravi Kumar P
doaj   +1 more source

Rules embedded harris hawks optimizer for large-scale optimization problems

Neural Computing and Applications, 2022
Harris Hawks Optimizer (HHO) is a recent optimizer that was successfully applied for various real-world problems. However, working under large-scale problems requires an efficient exploration/exploitation balancing scheme that helps HHO to escape from possible local optima stagnation.
Hussein Samma, Ali Salem Bin Sama
openaire   +3 more sources

High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

IEEE Access
This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters.
Yue Qiang, Xinlong Xu, Li Li, Siyu Liang, Xi Wang, Cheng Chen, Xinyi Tan   +6 more
doaj   +1 more source

Application of RBF neural network based on improved Harris eagle algorithm optimization for free-form surface machining error prediction

International Journal of Metrology and Quality Engineering
With the aim of addressing the problem of low efficiency in free-form surface machining error inspection, an improved Harris hawk optimization-radial basis function (IHHO-RBF) neural network prediction model is proposed in this work.
Chen Yueping, Liu Yapeng
doaj   +1 more source

A differential evolutionary adaptive Harris hawks optimization for two dimensional practical Masi entropy-based multilevel image thresholding

Journal of King Saud University: Computer and Information Sciences, 2022
The prey gets completely exhausted in Harris hawks optimization (HHO), when the escape energy is zero. Its exploration ability is limited. The random operator selected in HHO is a waste of search agents (Harris hawks).
Aneesh Wunnava, Manoj Kumar Naik, Rutuparna Panda, Bibekananda Jena, Ajith Abraham   +4 more
doaj   +1 more source