Results 21 to 30 of about 185,420 (264)
Study on Two-Phase Mixing Inside Flow Focusing/Blurring Nozzle by Gray Distribution Analysis Method
The application prospect of a flow focusing/blurring nozzle is broad but research on gas-liquid flow inside the nozzle is not comprehensive. The gas-liquid mixing inside the nozzle is difficult to study by visualization experiment, so this paper proposes
Jin Zhao +3 more
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The supersonic mixing between the reactive injection with an airstream is an essential issue that determines the scramjet engine performance. The mixing and transient combustion processes under different equivalence ratios for both the transverse ...
Wubingyi Shen +3 more
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A Novel Source Number Enumeration Approach Based on Ensemble Learning and SEEMD
Empirical Mode Decomposition (EMD) is a widely adopted adaptive signal analysis method, particularly effective for source number estimation in non-stationary environments. It decomposes complex signals into a series of Intrinsic Mode Functions (IMFs) and
Zhu Cairong, Ge Shengguo, Xu Yihan
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Modulation of Astrocytes on Mode Selection of Neuron Firing Driven by Electromagnetic Induction
Both of astrocytes and electromagnetic induction are magnificent to modulate neuron firing by introducing feedback currents to membrane potential.
Zhongquan Gao +3 more
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Mode Mixing and Rotational Splittings. II. Reconciling Different Approaches to Mode Coupling
In the mixed-mode asteroseismology of subgiants and red giants, the coupling between the p- and g- mode cavities must be understood well in order to derive localized estimates of interior rotation from measurements of mode multiplet rotational splittings.
J. M. Joel Ong, Charlotte Gehan
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Self-mixing interference (SMI) in terahertz quantum cascade lasers (THz QCLs) is one of the significant approaches for coherent THz imaging and sensing techniques.
Lei Ge +8 more
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Daily lake-level time series spectral analysis using EMD, VMD, EWT, and EFD
This study investigates the dynamics of daily Urmia Lake level (ULL) changes using spectral analysis tools to discover fluctuating patterns in the ULL series.
Farhad Alizadeh, Kiyoumars Roushangar
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Empirical mode decomposition (EMD) is a widely used adaptive signal processing method, which has shown some shortcomings in engineering practice, such as sifting stop criteria of intrinsic mode function (IMF), mode mixing and end effect.
Zhongzhe Chen +3 more
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A Revised Hilbert–Huang Transform and Its Application to Fault Diagnosis in a Rotor System
As a classical method to deal with nonlinear and nonstationary signals, the Hilbert–Huang transform (HHT) is widely used in various fields. In order to overcome the drawbacks of the Hilbert–Huang transform (such as end effects and mode mixing) during the
Hongjun Wang, Yongjian Ji
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Mixed-Mode Pandemic Modeling [PDF]
This paper describes a mixed mode approach to simulating a global pandemic. It describes the architectural and design decisions as well as the data sources, development tools and processes in each of the three simulation domains - System Dynamics (SD), Discrete Event Simulation (DES) and Agent-Based Modeling (ABM). The encompassing model uses a network
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