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:
- Revise the abstract and introduction section.
- Generate good quality simulation graph
Title 02:
- Modify the paper as the reviewer comments
Title 03:
- Design a Deep learning model.
- Test the model through dataset.
- but the accuracy is not satisfactory
Title 04:
-Prepare the camera-ready copy and submit the paper.
Title 01:
- Revise the system model and database description section
- Check the simulation graph
Title 02:
- Modify the as the journal requirements
- Submit the paper to IEEE transaction of vehicular technology
Title 03:
- Design a Deep learning model.
- Test the model through dataset.
- but the accuracy is not satisfactory
Title 04:
-Submission complete
Anti-drone project, smart-home project
- Complete the total system configuration and test for the collection of RF data from drone.
- prepare a proposal to describe the RF dataset.
- Collect task update from team member and report to prof
- Attend the project leader meeting and smart-home project meeting
- Do sample example to collect data from drone.
- Survey data pre processing stuff for vibration sensor dataset.
-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