Title 01:CNN-SSDI: Convolution Neural Network Inspired Surveillance System for UAVs Detection and
Identification
Target: Computer Networks.
Title 02: RFDOANet: DOA Estimation of RF signal for UAV Localization based on Residual CNN.
Target: IEEE Transactions on Vehicular Technology
Title 03:Analysis and Prediction of Hourly Energy Consumption Based on Long Short-Term Memory
Neural Network.
Target: Energy Reports
Title 04: Deep Learning-Based Surveillance System for Drones Detection and Activity Recognition [Processing]
Target: IEEE Transactions on Vehicular Technology
Title 05: CNN-Based Drone Detection in Multi-variant Environment [Title not fixed yet]
Title 06: Blockchain Assisted Unauthorized Target Localization for Aerospace Surveillance System Using Convolution Neural Network.
Target: ICT Express+ Haedong award and KICS winter conference
Title 06:
- Write the introduction, conclusion, signal model section.
-Complete the paper and revise and submit 4 pages paper to Headong award.
- Prepare two pages paper to KICS winter conference.
Title 02:
- test RESNet 50 and SqueezeNet.
-Having some accuracy issue using these model so try to theoritically prove that the proposed model is better than the existing model
Title 06:
- For journal version of this paper write the introduction section and literature survey.
Title 02:
- Modify our proposed CNN model
- Training and testing again and justify the result with the existing model.
Anti-drone project
- Perform the Presentation of RF Module with Prof Lee, Prof Khang from Incheon National university.
- Collect one video data of Anafi extended in sunny environment.
- Create frame and distribute 1200 frames among to the team members.
- Create the GT value of 300 frames.
- Study about how to training the image dataset in ML.
- Investigate the Azuma's open source dataset.
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-Learn MATLAB, Machine learning, and Artificial Intelligence, Python, LabView
- Complete title 06 and 02 and submit to the journal.
-At-least two SCI journal papers.
-At-least two International Conference