In this paper we investigate robot localization with the Augmented Monte Carlo Localization (aMCL) algorithm. The goal of the algorithm is to enable a robot to localize itself in an known world. The map of the environment where the robot has to localize itself must be given to the robot beforehand. In our case the map is constructed by another robot. This map is a so called occupancy grid. An o...

BACKGROUND Conventional power studies possess limited ability to assess the performance of cluster detection tests. In particular, they cannot evaluate the accuracy of the cluster location, which is essential in such assessments. Furthermore, they usually estimate power for one or a few particular alternative hypotheses and thus cannot assess performance over an entire region. Takahashi and Tan...

The distribution information of game maps is highly relevant to the execution efficiency of path searching and the degree of game difficulty. This paper analyzes the relationship between the pathfinding performance and the obstacles distribution in maps from two aspects, pathfinding algorithm design and game’s map design respectively. A hierarchical pathfinding algorithm called CDHPA* is propos...

Several contributions have recently shown that adaptive receivers based on Symbol-by-Symbol Maximum A Posteriori (SbS-MAP) equalizers are an attractive alternative to the more common ones based on Maximum Likelihood Sequence (MLS) detectors (see, e.g., [1,6]). However, these two equalizers present advantages that, if suitably exploited in a combined form, can be used to develop high performance...

In the last years, Interleave Division Multiple Access (IDMA) has been presented as a potential alternate of Code Division Multiple Access (CDMA) system. In IDMA systems, the interleavers are used to separate the users of the system in multiple access environments. Random interleaver is popular and basic taxonomy, which scrambles information bits of craving users with different patterns. Howeve...

Background. The main goal of the present study was to explore theta and alpha event-related desynchronization/synchronization (ERD/ERS) activity during shooting performance. We adopted the idiosyncratic framework of the multi-action plan (MAP) model to investigate different processing modes underpinning four types of performance. In particular, we were interested in examining the neural activit...