This paper proposes an enhanced mapping of multi-robot using a DSIFT to reduce the mapping calculation time. In this approach, the master robot transmits each robot’s mapping information in SLAM by DSIFT, which incorporates an additional step on the SIFT. The DSIFT uses a keypoint to reduce the distortional information throughout the Gaussian filter after the step of the image descriptor. The m...

In heterogeneous data integration, an effective machine learning model plays an important role in schema mapping. Schema mapping machine learning model and its probability learning improvement are analyzed in this paper firstly, and then the concept of multi -analyzer model with the method of fuzzy comprehensive evaluation is put forward to improve machine learning results’ efficiency and accur...

This paper introduces the problem of noncoherent detection for nonorthogonal multipulse modulation in the context of the synchronous multiuser Gaussian channel. Each user sends an M -ary information symbol by transmitting one ofM possibly nonorthogonal waveforms. Furthermore, the M signals of one user are allowed to be correlated with the signals of all other users. A key idea proposed here is ...

In this paper we present a novel approach to quantifying genetic architecture that combines recombinant inbred lines (RIL) with line cross analysis (LCA). LCA is a method of quantifying directional genetic effects (i.e. summed effects of all loci) that differentiate two parental lines. Directional genetic effects are thought to be critical components of genetic architecture for the long term re...

As the community strives towards autonomous multi-robot systems, there is a need for these systems to autonomously form coalitions to complete assigned missions. Numerous coalition formation algorithms have been proposed in the software agent literature. Algorithms exist that form agent coalitions in both super additive and non-super additive environments. The algorithmic techniques vary from n...