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Patil, Pragati
- Survey on Cooperative Positioning Impact In Vehicular Ad Hoc Network
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 1 (2014), Pagination:Abstract
The concepts of Cooperative Positioning (CP) impact have been introduced to potentially improve the accuracy of vehicle information of location and the capability of CP under real world vehicular communication suppressed is largely unknown. Vehicle location information is progressively for several road safety applications. To give the impact for positioning information is the key to better forecast of such warning systems, because inaccuracy will cause failure during an emergency. This paper is totally based survey on cooperative positioning in vehicular ad hoc network which reveal that the frequent interchange of large amounts of range information data required by existing CP schemes, the collision of packet rate of the vehicular network but reduces the efficiency of the CP technique. To improve GPS positioning perfectly for Radio-ranging or rating based cooperative positioning (CP) has been considered one of the delicate promising approaches. The aim of CP is to allow nearest nodes to work together to collectively increase the accuracy of their location. The according of ad hoc of vehicular interaction makes it natural to stretch out existing CP technique into Vehicular ad hoc networks.
Keywords
Cooperative positioning (CP), vehicular ad hoc network (VANET), and range information exchange- Efficient Phrase-Based Model for Automatic Caption Generation of Images
Authors
Source
International Journal of Innovative Research and Development, Vol 2, No 11 (2013), Pagination:Abstract
This paper confront the trouble of automatic generation of caption for news images which are collocated with thematically related documents as well as the development of efficient tools that generate descriptions for images automatically which is more advantageous to image search engines that get welfare from the image description in supporting more accurate and targeted queries for end users. This paper deals with the generation of captions from the database of images, news articles that captures the image’s contents and consist of two factors that are content selection and surface realization. Content selection shows the relationship between the appearance of certain features in a document with the appearance of corresponding features in a given image whereas surface realization arbitrate verbalization of the chosen contents. The annotation process applies over the images and documents collection available in the database. To render the extracted image content in natural language without relying on rich knowledge resources, sentence-templates or grammars we need to be considering both extractive and abstractive caption generation models. In the paper we will scrutinize phrase based model for caption generation as a consequence with phrase tree construction. After making comparisons between obstructive and extractive method it is examining that output of attractive model is better than extractive method.