Article Fingerprint
ReserarchID
CSTBMAQ83
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
This paper attempted to assess the attitudes of students in
Advances in technology have created the potential for a new
Inclusion has become a priority on the global educational agenda,
Today’s world is going to be smart even smarter day by day. Smart cities play an important role to make the world smart. Thousands of smart city applications are developing in every day. Every second very huge amount of data is generated. The data need to be managed and stored properly so that information can be extracted using various emerging technologies. The main aim of this paper is to propose a storage scheme for data generated by smart city applications. A matrix is used which store the information of each adjacency node of each level as well as the weight and frequency of call graph. It has been experimentally depicted that the applied algorithm reduces the size of the call graph without changing the basic structure without any loss of information. Once the graph is generated from the source code, it is stored in the matrix and reduced appropriately using the proposed algorithm. The proposed algorithm is also compared to another call graph reduction techniques and it has been experimentally evaluated that the proposed algorithm significantly reduces the graph and store the smart city application data efficiently.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
