We propose a simple, incentive compatible procedure based on binarized linear scoring rules to elicit beliefs about real-valued outcomes - multiple point predictions . Simultaneously eliciting with incentives reveals the subjective probability distribution without pre-defined intervals or probabilistic statements. show that approach is theoretically as robust existing methods, while adapting fl...

In this paper we discuss strategies concerning the implementation of an agent-based simulation of complex phenomena. The model we consider accounts for population decomposition and interaction in industrial districts. The approach we follow is twofold: on one hand, we implement progressively more complex models using different approaches (vertical multiple implementations); on the other hand, w...

Multiple input/multiple output (MIMO) is a hot topic in wireless communication and has great advantage in capacity. We investigate the influence of antenna topology on MIMO capacity and by comparing three topology schemes we find that selecting a proper antenna topology increases the capacity evidently. Three schemes under study are the traditional point-to-point concentrated antenna topology (...

The interest in deployment of multiple autonomous underwater vehicles (AUVs), such as AUV swarms, has been increasing. AUV swarms can reduce mission completion times and increase the system reliability. One of the basic constraints of these multiple vehicle systems is the limited communication between AUVs through the very challenging underwater acoustic channel. Even though reliable point-to-p...

This paper presents a method named CCSSM (Classification of Combining Spectral information and Spatial information upon Multiple-point statistics) which is the derivation of two probability fields from the supervised classification for the spectral extraction and multiple-point simulation (MPS) for the spatial information, which then are fused. The performance of CCSSM for two-class classificat...