In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...

Meteorological data mining aims to discover hidden patterns in a large number of available meteorological data. As one the most relevant big preprocessing technologies, feature discretization can transform continuous features into discrete ones improve efficiency algorithms. Aiming at problems high interaction multiple attributes, noise interference, and difficulty obtaining prior knowledge dat...

Incremental stack-copying was used to implement OR-parallel Prolog efficiently in the MUSE system. The idea of incremental stack-copying is to only copy the difference between the WAM data areas of two processors, instead of copying them entirely. In order to further reduce the communication during stack-copying and make its implementation efficient on distributed memory machines, a new techniq...

In this channel,we study rate region of a Gaussian two-way diamond channel which operates in half-duplex mode. In this channel, two transceiver (TR) nodes exchange their messages with the help of two relay nodes. We consider a special case of the Gaussian two-way diamond channels which is called Compute-and-Forward Multiple Access Channel (CF-MAC). In the CF-MAC, the TR nodes transmit their mes...

Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merging clustering framework, named "splitting merging awareness tactics" (SMART), which does not req...

A gas-kinetic flux splitting method is developed for the ideal magnetohydrodynamics (MHD) equations. The new scheme is based on the direct splitting of the flux function of the MHD equations with the inclusion of “particle” collisions in the transport process. Consequently, the artificial dissipation in the new scheme is greatly reduced in comparison with the MHD flux vector splitting method. N...

In this article we consider iterative operator-splitting methods for nonlinear differential equations with respect to their eigenvalues. The main feature of the proposed idea is the fixed-point iterative scheme that linearizes our underlying equations. Based on the approximated eigenvalues of such linearized systems we choose the order of the the operators for our iterative splitting scheme. Th...

Acoustic confusions degrade the accuracy of pronunciation assessment severely in Computer Assisted Language Learning (CALL) systems. This paper presents our recent study on optimal modeling of the acoustic confusions. We change the traditional mandarin syllable structure, which is composed of initial and final, to a novel phoneme structure. Several phoneme splitting strategies are investigated,...

Flux Vector Splitting (FVS) scheme is one group of approximate Riemann solvers for the compressible Euler equations. In this paper, the discretized entropy condition of the Kinetic Flux Vector Splitting (KFVS) scheme based on the gas-kinetic theory is proved. The proof of the entropy condition involves the entropy definition difference between the distinguishable and indistinguishable particles.

In Mobile Ad Hoc Networks (MANETs) mobile nodes are often organized in groups with different tasks and, correspondingly, different functional and operational characteristics. In particular, nodes in the same group will have coordinated motion. The coordinated motion pattern considerably simplifies the mobility management and allows efficient and scalable routing. Such a mobile network can easil...