This paper introduces a new approach of using mini/micro unmanned aerial vehicles (UAVs) for automatic meter reading (AMR) in rural areas where there are subscribers dispersed over a large area. Compared to other AMR systems, the use of UAVs brings many advantages including easy integration to existing AMR systems, flexibility, and low-cost and automatic operation. In this paper, design considerations and associated challenges of this approach are presented. In addition, simulation studies are given to prove the effectiveness of the proposed approach.
PL
W artykule przedstawiono propozycję wykorzystania mini- i mikro- bezzałogowych statków powietrznych (ang. Unmanned Aerial Vehicles) w automatycznym odczycie liczników w obszarach wiejskich o niskim zaludnieniu. Omówiono zagadnienie projektowania systemu oraz problemów związanych z jego implementacją.
This study aims to explore the possibility of improving human-robot interaction (HRI) by exploiting natural language resources and using natural language processing (NLP) methods. The theoretical basis of the study rests on the claim that effective and efficient human robot interaction requires linguistic and ontological agreement. A further claim is that the required ontology is implicitly present in the lexical and grammatical structure of natural language. The paper offers some NLP techniques to uncover (fragments of) the ontology hidden in natural language and to generate semantic representations of natural language sentences using that ontology. The paper also presents the implementation details of an NLP module capable of parsing English and Turkish along with an overview of the architecture of a robotic interface that makes use of this module for expressing the spatial motions of objects observed by a robot.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.