Papers

Title 1: Sparsely Connected CNN for Efficient Automatic Modulation Recognition
Target: IEEE Transactions on Vehicular Technology
Status: Published with doi: 10.1109/TVT.2020.3042638

Title 2: Automatic Modulation Recognition using Deep CNN with Multilevel Fusion Mechanism (Pr)
Target: Not fixed

Title 3: Deep Learning for Object Detection Using Micro Doppler Signatures in Autonomous Vehicles (Pr)
Target: KICS winter 2021

Title 4: Convolutional Neural Network for Drone Detection and Classification on Edge Devices (Pr)
Target: Not fixed

Last Week's Progress

Title 1
[1]. Waiting for the publication in a specific issue and volume number.

Title 2
[1]. Experiments and investigation on feature a map permutation.
[2]. Finetuned a network architecture based on the ideas.
[3]. Investigated hyperparameter optimization.

Title 3
[1]. Literature review.
[2]. Methodology.

Title 4
[1]. Literature review

This Week Todo's

Title 1
[1]. Waiting for the publication in a specific issue and volume number.

Title 2
[1]. Continue with Experiments.
[2]. Finetuning a network architecture.
[3]. Continue with the Investigation on hyperparameter optimization.
[4]. Finalize the network architecture.

Title 3
[1]. Finalizing the paper.
[2]. Submit.

Title 4
[1]. Literature review.
[2]. Methodology.

Project Progress

Anti-Drone

Last Week's Project

[1]. Literature review on the low complex Deep learning architectures.
[2]. Fix LabVIEW communication design toolkit license issues.
[3]. Investigate the environment for data collection.

This Week's Project

[1]. Continue with a Literature review on the low-complex Deep learning architectures.
[2]. To finalize fixing the LabVIEW communication design toolkit license issues.
[3]. Prepare the data collection scenario based on the open-source datasets.
[4]. Start pre-processing the open-source dataset.
[5]. Start data collection.

Monthly Goals

[1]. Master MATLAB communication, deep learning, and optimization toolboxes.
[2]. Improve the algorithm of title [2] and finalize experiments.
[3]. Finish the LabVIEW USSRP module and Start RF data collection for the Anti-drone project.
[4]. Prepare the drone-based dataset and the idea for the winter intensive and KICS winter conference.

Annual Goals

[1]. To submit at least one paper to the SCI journal.
[2]. Attend international and domestic conferences recommended by NSL.
[3]. Acquiring knowledge and skills of NSL technical tools.