Add to ORKGData filtering is a semantic-based technique that can significantly reduce the size of traffic in large-scale distributed interactive simulation (DIS) networks. If not carefully designed, filtering algorithms could lead to errors that may compromise the realism of the training exercise. In this paper, we review the problem of filtering errors and present an approach suitable for preventing filtering errors
Abstract. High level semantic analysis typically involves constructing a Markov network over detecti...
In this thesis, I characterize the impact of network bandwidth on distributed machine learning train...
This paper considers simulation of large networks. The quantities of interest, such as system failur...
Achieving the real-time linkage among multiple, geographically-distant, local area networks that sup...
Data filtering is one of the techniques that can help achieve real-time linkage in large-scale distr...
AFIT/GCE/ENG/06-06 Research has shown that bandwidth can be a limiting factor in the performance of ...
In this paper, we present the results of our work to design and evaluate relevance filtering schemes...
Research has shown that bandwidth can be a limiting factor in the performance of distributed simulat...
Distributed Interactive Simulation (DIS) is the technology for linking simulations of various types ...
In this thesis, we discuss the DIS bandwidth problem and give a brief overview of the major bandwidt...
Recent advances in computer and communications technologies have made possible the interconnection o...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Bandwidth consumption in distributed real time simulation, or networked real time simulation, is a m...
We describe a new algorithm, called Filter, that limits the propagation of erroneous computations in...
This paper considers rare event simulation of large networks. Typical quantities of interest are sys...
Abstract. High level semantic analysis typically involves constructing a Markov network over detecti...
In this thesis, I characterize the impact of network bandwidth on distributed machine learning train...
This paper considers simulation of large networks. The quantities of interest, such as system failur...
Achieving the real-time linkage among multiple, geographically-distant, local area networks that sup...
Data filtering is one of the techniques that can help achieve real-time linkage in large-scale distr...
AFIT/GCE/ENG/06-06 Research has shown that bandwidth can be a limiting factor in the performance of ...
In this paper, we present the results of our work to design and evaluate relevance filtering schemes...
Research has shown that bandwidth can be a limiting factor in the performance of distributed simulat...
Distributed Interactive Simulation (DIS) is the technology for linking simulations of various types ...
In this thesis, we discuss the DIS bandwidth problem and give a brief overview of the major bandwidt...
Recent advances in computer and communications technologies have made possible the interconnection o...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Bandwidth consumption in distributed real time simulation, or networked real time simulation, is a m...
We describe a new algorithm, called Filter, that limits the propagation of erroneous computations in...
This paper considers rare event simulation of large networks. Typical quantities of interest are sys...
Abstract. High level semantic analysis typically involves constructing a Markov network over detecti...
In this thesis, I characterize the impact of network bandwidth on distributed machine learning train...
This paper considers simulation of large networks. The quantities of interest, such as system failur...