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Deepika Rani Sona

Researcher at VIT University

Publications -  13
Citations -  29

Deepika Rani Sona is an academic researcher from VIT University. The author has contributed to research in topics: Computer science & Trajectory. The author has an hindex of 3, co-authored 10 publications receiving 26 citations.

Papers
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Proceedings ArticleDOI

Automatic car parking system with visual indicator along with IoT

TL;DR: This paper focuses on the concept of car parking detection mechanism using the ultrasonic sensor, in combination with the usage of Internet of Things i.e. sending the status of the parking slot to the Internet.
Book ChapterDOI

PSO Algorithm in Quadcopter Cluster for Unified Trajectory Planning Using Wireless Ad Hoc Network

TL;DR: This paper is aimed at developing a swarm unmanned aerial vehicle (UAV) network for motion in free space controlled by an algorithm depending on axis-aligned minimum bounding space, and a collision is avoided by the use of a collision-free trajectory planning algorithm based on the position of the UAVs by implementing the optimization technique named particle swarm optimization (PSO) algorithm for intelligent features.
Proceedings ArticleDOI

Design of Aperiodic Artificial Magnetic Conductor in Patch Antenna For Microwave Frequencies

TL;DR: In this paper, an artificial ground plane composed of several aperiodic rectangular AMC cell (RAMC) structure is designed and employed as a ground plane of the printed antenna, and a conventional antenna fabricated on a PCB using microstrip techniques is also designed for comparison of the performance parameters.
Journal ArticleDOI

Encryption and Decryption of Images with Pixel Data Modification Using Hand Gesture Passcodes

TL;DR: In this article , the pixel values are slightly changed to ensure the masked image is not misleading, considering that the RGB values are at their border values of 254, 255 the test cases of masking overcome issues with the corner values susceptibility.
Proceedings ArticleDOI

Resource management for maximum spectrum utilization in D2D cellular communication

TL;DR: The pricing issue is iteratively solved by a combination of a distance based and greedy heuristic algorithm and the numerical results represented optimum minimum distance between suggested cellular user and device to device link user.