The main motto behind the 4G wireless epoch is to provide a mobile ultra-broadband internet access with the help of a completely standardized Internet Protocol (IP) for video, Voice over IP (VoIP) and other multimedia services. It also requires the existing mobile services to pullulate into an open Mobile Cloud which can be used by all the providers. Vehicular networks can also be used to obtain information from the Internet which is not directly related to travelling. So numerous number of applications like surfing, email, gaming etc. can find its way into these wireless vehicular networks. In this paper we discuss the network mobility mechanism used to support the movement of nodes which changes its point of attachment to a fixed infrastructure from time to time, thus developing an efficient handover prediction and initiation algorithm for vehicular communication in 4G wireless networks. Here the handover is predicted using the route travelled (database) and it is initiated with the help of threshold values in both the scenarios. Until the threshold value is reached, the handover initiation can be postponed (made to sleep), without any need to check whether we are within the boundary of the current Access Router (AR) or not, thus saving a substantial amount of resource usage. By this way, the Mobile Router (MR) forebodes the handover, even if the current connection with the AR is still active.
Automatic Question Generation (AQG) is a research trend that enables teachers to create assessments with greater efficiency in right set of questions from the study material. Today's educational institutions require a powerful tool to correctly assess learner's mastery of concepts learned through study materials. Objective type questions are an excellent method of assessing a learner's topic understanding in learning process, based on Information and Communication Technology (ICT) and Intelligent Tutoring Systems (ITS).Creating a set of questions for assessment can take a significant amount of time for teachers, and obtaining questions from external sources such as assessment books or question banks may not be relevant to the content covered by students during their studies. This proposed system involves to generate the familiar objective type questions like True or False, 'Wh', Fill up with double blank space, match the following type question have generated using Natural Language Processing(NLP) techniquesfrom the given study material. Different rules are created to generate T/F and 'Wh' type questions. Dependence parser method has involved in 'Wh' questions. Proposed system is tested with Grade V Computer Science text book as an input. Experimental result shows that the proposed system is quite promising to generate the amount of objective type assessment questions.
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