In this paper we proposed new methodology for RISE (Risky Intervention and Surveillance Environment) mobile robot’s operator training planning. For this task Qualitative SpatioTemporal Representation and Reasoning Framework called Semantic Simulation Engine is used. The core concept is connected with development of Mobile Spatial Assistance System capable of building a semantic model of the env...

because of approaches to learning in every place and at any time, ubiquitous learning with knowledge of the context and framework, and due to the development of wireless technologies and sensors, the learning process has changed. mobile learning and ubiquitous learning as models of e-learning that refer to the acquisition of knowledge, attitudes and skills through wireless technologies. the eff...

Mobile Cloud Computing (MCC) allows the e-learning platform to provide teaching materials, exchange knowledge and share learning experiences. The MCC process gives various instructions, usage of electrical bio-signals in Alternative Augmented Communication plays a significant role. physical education system faces challenges training physically challenged people for Para Olympics. difficulties a...

Our system for automatic language identification (LID) of spoken utterances is performed with language dependent parallel phoneme recognition (PPR) using Hidden Markov Model (HMM) phoneme recognizers and optional phoneme language models (LMs). Such a LID system for continuous speech requires many hours of orthographically transcribed data for training of language dependent HMMs and LMs as well ...

grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common computational platform. mobile computing is a generic word that introduces using of movable, handheld devices with wireless communication, for processing data. mobile computing focused on providing access to data, information, services and communications anywhere an...