Report

Nsl

August 17, 2020 - August 23, 2020

Papers

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 Geoscience and Remote Sensing Letters

Title 03: Residual Convolution Neural Network for Drone Detection and Identification using RF Signal.
Target : ICTC-2020

Title 04: "Optimized Trickle Scheme for Low Power Lossy Network in Industrial Internet of Things".
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

40% Progress
Last Week's Progress

Title 01:
- designed the CNN model but need some modification for better performance.

Title 02:
- Tha paper and journal application field is not match. so search enother suitable journal and submit the paper.

Title 03:
- Write the system model section.
- Write result and discussion section.
- Make modification of references, figures and tables.
- Revise the whole paper and submit it to ICTC 2020.

Title 04:
- Attend the KICS summer conference and presented poster presentation

This Week Todo's

Title 01:
- Design the proper Deep learning model.
- Simulate the design.
- Complete the proposed system model section.
- Modify the relative work section and introduction section.

Title 02:
- resubmit the paper

Title 03:
- wait for the review comments.

Project Progress

Anti-drone project

40% Progress
Last Week's Project

Drone mode detection and Identification [Target]

- Study about the related work

- Install LabVIEW and other related package.
- Collect the tools.

This Week's Project

-Study about the LABVIEW program

- Do some sample example simulation.

Monthly Goals

Learn MATLAB, Machine learning and Artificial Intelligence, Python.



- Complete one paper writing to submit in journal

Annual Goals

At-least two SCI journal paper.

-At-least two International Conference