Report

20195028

December 7, 2020 - December 13, 2020

Papers

Title 01:CNN-SSDI: Convolution Neural Network Inspired Surveillance System for UAVs Detection and
Identification
Target: IET Communication journal.

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

Title 04: LSTM Based Regression Analysis Using Multivariant Data for Solar Radiation Prediction.

40% Progress
Last Week's Progress

Title 01:
- Correction of Abstract, introduction, and problem statement section
Title 02:
-Revision from IEEE Transactions on Vehicular Technology.
- Doing a literature survey to make and of reviewers.

Title 03:
- Accepted the paper.
- Done author registration and revise the whole paper.
- Add one simulation result and attach the camera-ready copy.
Title 04:
- Revise the Problem statement section.

This Week Todo's

Title 01:
- Correction of the proposed network and result discussion analysis section.
- Write related work section.
Title 02:
-prepare the plan on how to deal with the reviewer comments.

Title 03:
- wait for the conference schedule according to that will prepare the presentation file.

Title 04:
- Revise the proposed network.

Project Progress

Revise the whole paper.

40% Progress
Last Week's Project

-Study the dataset and idea that can be used and extend in the project and distribute tasks to the project member.

- Study the deep learning technique as required.
- Collect one dataset from Anafi extended and create the frames in 1-sec interval.
- Practice controlling the drone at a short altitude.

This Week's Project

-Create 600 frames in the evening and sunny consideration for Anafi extended drone.

Monthly Goals

-Study about the dataset that can be used and extend in the project

- Study the deep learning technique as required.

Annual Goals

- Collect dataset from two drones
- Collect dataset for RF-based module
- Create ground-truth value for 500 frames