Thinking about the “Symbol Grounding Problem” and the brain structure of living things, the author believes that it is the best solution for generating communication in robot-like systems to use a neural network that is trained based on reinforcement learning. As the first step of the research of symbol emergence using neural network, it was examined that parallel analog communication signals a...

The present work deals with developing a fuzzy back propagation neural network scheme for prediction of drill wear. Drill wear is an important issue in the manufacturing industries, which not only affects the surface roughness of the hole but also influences the drill life. Therefore, replacement of drill at an appropriate time is of significant importance. Flank wear in a drill which depends u...

OBJECTIVES The aim of this study was to facilitate effective internal and external communication of an international network and to explore how to support communication and work processes in health technology assessment (HTA). STRUCTURE AND METHODS: European network for Health Technology Assessment (EUnetHTA) connected sixty-four HTA Partner organizations from thirty-three countries. User needs...

SCADA is a system that collects data from various sensors at a factory, plant or in other remote locations and then sends this data to a central computer which then manages and controls the data. On its early days, SCADA was designed to be in a private network utilizing line communication. As the scope becomes larger, utilizing line communication becomes impractical therefore integrating wirele...

In this paper, we introduce text polishing, a novel, surface-oriented approach to using revisions in natural language generation in order to improve the fluency of generated texts. In this approach, markupbased revision rules are used to implement sentence planning operations such as aggregation, referring expression generation and discourse marker insertion. By working close to the surface, we...