Title 01:RF signal based drone detection using deep convolution neural network
Target : Summer intensive_2020
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
Target : IEEE Signal processing letters
Title 03: Residual Convolution Neural Network for Drone Detection and Identification using RF Signal.
Target : Long Journal
Title 04: RF-Based UAV Surveillance System: A sequential Convolution Neural Network.
Target : ICTC-2020
Title 05: "Optimized Trickle Scheme for Low Power Lossy Network in Industrial Internet of Things".
Target : KICS Summer-2020
Title 01:
- Perform 13 layers three different simulation work.
- Writing the proposed system model section.
Title 02:
- Organised the paper as the IEEE Signal processing letters templat.
- Modify whole paper according to IEEE Signal processing letters requirements.
- Make correction to the reference section.
- Submitted paper to IEEE Signal processing letters
Title 04:
- Waiting for the review comments.
Title 01:
- Complete the simulation result.
- Complete to write proposed model section.
- Complete the result discussion section.
Title 02:
- Waiting for the review comments.
Title 03:
- study the related journal paper to make an efficient cost effective model.
- Simulate with the RF dataset.
Anti-drone project
Drone mode detection and Identification [Target]
- Study about the LABVIEW program
- Do some sample example simulation.
- Make the project task planning for all members
- Install Labview software and the relevant packages regarding RF based module.
- Complete the total system configuration and test for the collection of RF data from drone.
- Configure the system for image and video based drone detection
- Collect task update from team member and report to prof
-Learn MATLAB, Machine learning and Artificial Intelligence, Python, LabView
- Complete one paper writing to submit in journal
-At-least two SCI journal paper.
-At-least two International Conference