Papers

Title 1: Fire Disaster Notification Management (FDNM) for Military Storage and Supply Operation Centers
Published: Proceedings of ICTC 2019

Title 2: Delay-aware Computation Offloading Based-on Task Segmentation for IIoT System (A)
Published: Proceedings of KICS fall 2019

Title 3: Optimal Relay Selection Scheme for Mobile-Fog Enabled Cyber-Physical Systems.
Target: Not fixed

Title 4: Sparsely Connected CNN for Efficient Automatic Modulation Recognition
Target: IEEE Transactions on Vehicular Technology
Submitted: July 1, 2020 (Original paper)
Re-submitted (Revised paper): Oct 6, 2020
Accepted: Nov 30, 2020
Status: Completed

Title 5: Multi-shuffled Convolutional Blocks for Low complex Modulation Recognition (A)
Target: ICTC 2020
Submitted: Aug 15, 2020
Status: Accepted
Date: 13/09/2020

Title 6: Learning Spatiotemporal Features by using CNN for efficient Modulation Recognition (A)
Target: KICS summer 2020
Status: Accepted

Title 7: Automatic Modulation Recognition using Deep CNN with Multilevel Fusion Mechanism (Pr)
Target: Not fixed

Last Week's Progress

Title 4

[1]. Submitted the final proof document.

Title 5
[1]. Awaiting the publication.

Title 6
[1]. Awaiting the publication.

Title 7
[1]. Experiments and investigation on feature a map permutation.
[2]. Finetuned a network architecture based on the ideas.
[3]. Investigated hyperparameter optimization.
[4]. Investigated the application of weighted element-wise additional layer.

This Week Todo's

Title 4
[1]. Waiting for the publication in a specific issue and volume number.

Title 5
[1]. Waiting for the publication.

Title 6
[1]. Awaiting the publication.

Title 7
[1]. Continue with Experiments.
[2]. Finetuning a network architecture.
[4]. Continue with the Investigation on hyperparameter optimization.
[5]. Finalize the network architecture.

Project Progress

Anti-Drone

Last Week's Project

[1]. Literature review on the low complex Deep learning architectures.
[2]. Working on LabVIEW communication design toolkit to configure a multiple channel SDR receiver.
[3]. Flew the drone to the outdoor to have more control during the indoor experiement.

This Week's Project

[1]. Continue with a Literature review on the low-complex Deep learning architectures.
[2]. Prepare the environment for data acquisition.
[3]. Check the possibility of data acquisition.

Monthly Goals

[1]. Master MATLAB communication, deep learning, and optimization toolboxes.
[2]. Improve the algorithm of title [7] and finalize experiments of the summer intensive.
[3]. Finish the LabVIEW USSRP module modules and Start RF data collection for the Anti-drone project.
[4]. Prepare the drone-based dataset and the idea for 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.