One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
The software industry is increasingly facing the issues of understanding and maintaining a particular type of software systems, namely distributed systems. While these systems are...
—With the continued push toward dispersed generation and distributed intelligent devices throughout the distribution system, a proper analysis method for understanding the operat...
We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
In this paper, we examine several localization algorithms and evaluate their robustness to attacks where an adversary attenuates or amplifies the signal strength at one or more lan...