Report

Vivian

May 16, 2022 - May 22, 2022

Papers

Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning
Target: Computers and Electronics in Agriculture (Under Review)

Title 3: Aerial Surveillance and Detection of Drones and Birds; Deploying a Custom CNN model
Target: IEEE Transactions on Vehicular Technology (Under Review)

Title 4: Real-Time tracking of the miniaturized fleet of UAVs Under Stealth Scenario (Tentative)
Target: MILCON 2022

Title 5: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and
Identification Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems

Title 6: Scalable Out-of-Core Learning Model for Intrusion Detection System in the Internet of Drones
Target: KICS Summer 2022

75% Progress
Last Week's Progress

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: Study-related papers on real-time object implementations

Title 5: Suspended paper writing according to leader's instruction

Title 6: i. Gather and preprocess dataset for preliminary results
ii. Completed and submitted paper.

This Week Todo's

Title 2: Awaiting reviewers' comments.

Title 3: Awaiting reviewers' comments

Title 4: Study and compare other tracking algorithms based on speed and computational complexity.

Title 5: Resume group’s paper writing.

Project Progress

Anti-Drone System

90% Progress
Last Week's Project

i. Implemented real-time object detection using Python in OpenCV

ii. Prepared ppt for capstone presentation

This Week's Project

i. Awaiting the scope of the new project

ii. Continue studying real-time object tracking using Python in OpenCV

iii. Study research works on KCF algorithms for real-time object tracking as well as compare it with other
tracking algorithms

Monthly Goals

i. Complete and submit group’s dataset article for possible publication

ii. Attend a domestic conference

iii. Attend at least 2 international conferences (1 achieved)

iv. Acquire in-depth knowledge of the various DL algorithms

v. Become proficient in the use of python for object detection and other machine learning algorithms

vii. Implement object tracking algorithms in python effectively in real-time.

Annual Goals

i. Submission of at least 3 journals (1 achieved)

ii. Become an AI expert