Title 01: Low Latency and Energy Efficient Trickle Algorithm for Low Power Lossy Network in Wireless Sensor Network.
Target : IEEE wireless Communications letter
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
Target : IEEE Communications letter
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: RF signal based drone identification and mode detection using deep convolution neural network.
Title 01:
- Fix the simulation problem for packet data loss.
- rewrite one section in the introduction.
Title 02:
- Submited the paper to IEEE communication letter.
Title 03:
- Write abstract section.
- Study about python to simulate CNN.
Title 05:
- Trying to preprocess the dataset.
Title 01:
- Revise abstract and introduction section.
- Redraw the figure with high resolution.
Title 02:
- Submited the paper to IEEE communication letter.
Title 03:
- Design the system model.
- Train the CNN model through python.
Title 05:
- Complete preprocess the dataset.
Anti-drone project
- Drone mode detection and Identification [Target]
- Study about the related work
- In the stage of data preprocessing.
- 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.
- Complete one paper writing to submit in journal
At-least two SCI journal paper.
-At-least two International Conference