Traditional resources allocation in port usually use queuing model and has deviations between model and actual situation. In this paper, focus on loadometers allocation in bulk port, we propose an optimization solution with Internet of Things. Primary method of this solution is upgrading devices with RFID technology. This solution provides more efficiencies and accuracies cause of reducing manu...

The application of Queuing Theory to quantify the relationships between trajectory uncertainties due to aviation operations, precision of navigation and control, and traffic flow efficiency in the National Airspace System is discussed. This work builds on a previous research effort on Markovian queuing network models of the NAS. Two approaches for incorporating the trajectory uncertainties in t...

In order to reduce the traffic congestion and to enhance the capacity of urban road intersections, this paper builds a model of the vehicle queuing system for the intersection by queuing theory Based on Monte Carlo algorithm, this paper carries out simulation and analysis of the vehicle queuing system in the intersection by MATLAB, analyses, the status of vehicle queue to reduce the vehicle que...

We show how agent-based simulation is used for analyzing different queuing strategies in the youth health care sector. The simulation model represents an authentic business case and is parameterized with actual market data. We discuss the differences between four queuing strategies which are based on push/pull allocation and centralized/decentralized queuing strategies. The model incorporates, ...

MOTIVATION An important goal in analyzing microarray data is to determine which genes are differentially expressed across two kinds of tissue samples or samples obtained under two experimental conditions. Various parametric tests, such as the two-sample t-test, have been used, but their possibly too strong parametric assumptions or large sample justifications may not hold in practice. As altern...

This chapter introduces an advanced contentbased image retrieval (CBIR) system, MMIR, where Markov model mediator (MMM) and multiple instance learning (MIL) techniques are integrated seamlessly and act coherently as a hierarchical learning engine to boost both the retrieval accuracy and efficiency. It is well-understood that the major bottleneck of CBIR systems is the large semantic gap between...