414 citations
- University of California, Santa CruzUS13 papers
- Western Norway University of Applied SciencesNO12 papers
- Lawrence Livermore National LaboratoryUS8 papers
- Stanford UniversityUS8 papers
- Indian Institute of Technology JammuIN7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- University of VirginiaUS6 papers
- Imperial College LondonGB5 papers
- The University of Texas at AustinUS5 papers
- University of MichiganUS5 papers
- American UniversityUS4 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR4 papers
9 papers · 1 filter
Stochastic Navier-Stokes Equations in Unbounded Channel Domains
Utpal Manna, Manil T. Mohan, Sivaguru S. Sritharan
In this paper we prove the existence and uniqueness of path-wise strong solution to stochastic viscous flow in unbounded channels with multiple outlets using local monotonicity arg…
Adaptive Optimal PMU Placement Based on Empirical Observability Gramian
Junjian Qi, Kai Sun, Wei Kang
In this paper, we compare four measures of the empirical observability gramian, including the determinant, the trace, the minimum eigenvalue, and the condition number, which can be…
Stable Coupling of Nonconforming, High-Order Finite Difference Methods
Jeremy E. Kozdon, Lucas C. Wilcox
A methodology for handling block-to-block coupling of nonconforming, multiblock summation-by-parts finite difference methods is proposed. The coupling is based on the construction…
Optimal vaccination in a stochastic epidemic model of two non-interacting populations
Edwin C. Yuan, David L. Alderson, Sean Stromberg +1
Developing robust, quantitative methods to optimize resource allocations in response to epidemics has the potential to save lives and minimize health care costs. In this paper, we…
Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian
Junjian Qi, Kai Sun, Wei Kang
In this paper the empirical observability Gramian calculated around the operating region of a power system is used to quantify the degree of observability of the system states unde…
Stochastic identification of malware with dynamic traces
Curtis Storlie, Blake Anderson, Scott Vander Wiel +3
A novel approach to malware classification is introduced based on analysis of instruction traces that are collected dynamically from the program in question. The method has been im…