In this study, an improved cognitive process model will be proposed which customized to a mobile game-based training (mGBT) design model. Although many game design models have been introduced, studies show that customized phases and steps to develop games for training in mobile environment are substantially required. Therefore, the study will address this gap by proposing a cognitive-process mG...

In this paper, we present a novel framework for asynchronous Web-based training. The proposed system has two distinguishing features. Firstly, it is based on P2P architecture for scalability and robustness. Secondly, all contents in the system are not only data but also agents so that they can mark user’s answers, can tell the correct answers, and can show some extra information without human i...

This paper addresses a behavior-based fuzzy controller (BFC) for mobile robot wall-following control.The wall-following task is usually used to explore an unknown environment.The proposed BFC consists of three sub-fuzzy controllers, including Straight-based Fuzzy Controller (SFC),Left-based Fuzzy Controller (LFC), and Right-based Fuzzy Controller (RFC).The proposed wall-...

Reinforcement learning is a promising paradigm for the training of intelligent controllers. The learning capabilities of a neural network based controller architecture are shown by its application to control a mobile robot in an unknown environment. Based on multi-sensor information provided by four infrared sensors, the controller has to learn to avoid collisions, receiving only a nal training...

information and communication technology (ict) is one of the emerging driving forces to disseminate the agricultural knowledge. skilled extension personnel can grab these opportunities for the diffusion of agricultural technologies to farming community. therefore, the present investigation measures e-skills among agricultural experts of krishi vigyan kendras (kvks) — farm science centers in raj...

A computer-assisted language learning software for mobile devices (MAC) is presented, that was aimed to helping speakers acquire speech contrasts not native to their own language. The software is based on the high variability phonetic training (HVPT) technique. An overview of the software is given, followed by results from an efficacy study. Two groups using slightly different variations of the...