A computationally efficient method for brain information-theoretic based causality detection using multichannel EEG

2015 ◽  
Author(s):  
Maryam Songhorzadeh ◽  
Karim Ansari-Asl ◽  
Alimorad Mahmoudi
Keyword(s):  
Efficient Method ◽  
Computationally Efficient ◽  
Information Theoretic ◽  
Multichannel Eeg

scholarly journals A Surrogate Based Computationally Efficient Method to Coordinate Damping Controllers for Enhancement of Probabilistic Small-Signal Stability

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 32882-32896
Author(s):  
Samundra Gurung ◽  
Sumate Naetiladdanon ◽  
Anawach Sangswang
Keyword(s):  
Efficient Method ◽  
Small Signal ◽  
Small Signal Stability ◽  
Computationally Efficient ◽  
Signal Stability ◽  
Damping Controllers

scholarly journals An Effective Potential for Frenkel Excitons

2020 ◽  
Author(s):  
Bartosz Błasiak ◽  
Wojciech Bartkowiak ◽  
Robert Władysław Góra
Keyword(s):  
Energy Transfer ◽  
Excitation Energy ◽  
Efficient Method ◽  
Effective Potential ◽  
Excitation Energy Transfer ◽  
Computationally Efficient ◽  
Frenkel Excitons

Excitation energy transfer (EET) is a ubiquitous process in life and materials sciences. Here, a new and computationally efficient method of evaluating the electronic EET couplings between interacting chromophores is...

scholarly journals Application of a computationally efficient method to approximate gap model results with a probabilistic approach

2014 ◽  
Vol 7 (1) ◽  
pp. 1535-1600
Author(s):  
M. Scherstjanoi ◽  
J. O. Kaplan ◽  
H. Lischke
Keyword(s):  
Climate Change ◽  
Efficient Method ◽  
Tree Species ◽  
Forest Dynamics ◽  
Probabilistic Approach ◽  
Age Distribution ◽  
Change Scenario ◽  
Model Parameters ◽  
Computationally Efficient ◽  
Tree Species Composition

Abstract. To be able to simulate climate change effects on forest dynamics over the whole of Switzerland, we adapted the second generation DGVM LPJ-GUESS to the Alpine environment. We modified model functions, tuned model parameters, and implemented new tree species to represent the potential natural vegetation of Alpine landscapes. Furthermore, we increased the computational efficiency of the model to enable area-covering simulations in a fine resolution (1 km) sufficient for the complex topography of the Alps, which resulted in more than 32 000 simulation grid cells. To this aim, we applied the recently developed method GAPPARD (Scherstjanoi et al., 2013) to LPJ-GUESS. GAPPARD derives mean output values from a combination of simulation runs without disturbances and a patch age distribution defined by the disturbance frequency. With this computationally efficient method, that increased the model's speed by approximately the factor 8, we were able to faster detect shortcomings of LPJ-GUESS functions and parameters. We used the adapted LPJ-GUESS together with GAPPARD to assess the influence of one climate change scenario on dynamics of tree species composition and biomass throughout the 21st century in Switzerland. To allow for comparison with the original model, we additionally simulated forest dynamics along a north-south-transect through Switzerland. The results from this transect confirmed the high value of the GAPPARD method despite some limitations towards extreme climatic events. It allowed for the first time to obtain area-wide, detailed high resolution LPJ-GUESS simulation results for a large part of the Alpine region.

A Computationally Efficient Method for Determining the Size and Location of Myocardial Ischemia

2009 ◽  
Vol 56 (2) ◽  
pp. 263-272 ◽  
Author(s):  
T.S. Ruud ◽  
B.F. Nielsen ◽  
M. Lysaker ◽  
J. Sundnes
Keyword(s):  
Myocardial Ischemia ◽  
Efficient Method ◽  
Computationally Efficient

Computationally Efficient Model for 2D Ion Implantation Simulation

1997 ◽  
Vol 490 ◽  
Author(s):  
Misha Temkin ◽  
Ivan Chakarov
Keyword(s):  
Ion Implantation ◽  
Efficient Method ◽  
Two Dimensional ◽  
Computationally Efficient ◽  
Crystalline Materials ◽  
One Dimensional ◽  
The One

ABSTRACTA computationally efficient method for ion implantation simulation is presented. The method allows two-dimensional ion implantation profiles in arbitrary shaped structures to be calculated and is valid for both amorphous and crystalline materials. It uses an extension of the one-dimensional dual Pearson approximation into the second dimension.

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