Title 01:RF signal based drone identification and mode 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 Geoscience and Remote Sensing Letters
Title 03: Residual Convolution Neural Network for Drone Detection and Identification using RF Signal.
Target : ICTC-2020
Title 04: Low Latency and Reliability Issue of IWSN.
Target : KICS Summer-2020
Title 05: Low Latency and Energy Efficient Trickle Algorithm for Low Power Lossy Network in Wireless Sensor Network.
Target : IEEE wireless Communications letter
Title 02:
- modify the problem formulation section.
- Rewrite the proposed model section.
- Write one table regarding simulation parameter.
- Correct the references.
Title 04:
- write Abstract.
- Write Introduction and problem formulation section.
- Perform the simulation for this paper.
Title 02:
- Submit the paper to prof and submit to the journal.
Title 04:
- Write the proposed algorithm section.
- Complete the simulation and result discussion section.
- Complete the paper and submit to the KICS Conference.
Title 5:
_ write Proposed CNN model section
-Complete simulation and result discussion section
Anti-drone project
Drone mode detection and Identification [Target]
- Study about the related work
- In the stage of data preprocessing.
-Have submitted one proposal about our own model to prof. Lee.
Drone mode detection and Identification [Target]
- Fix the problem of data preprocessing.
- Compile the system CNN model for verification.
-Learn MATLAB, Machine learning and Artificial Intelligence, Python.
- Complete one paper writing to submit in journal
At-least two SCI journal paper.
-At-least two International Conference