Report

Gbtunze

September 28, 2020 - October 4, 2020

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
Status: Major revision
Date: 07/09/2020

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 Attention Mechanism (Pr)
Target: Not fixed

74% Progress
Last Week's Progress

Title 4
[1]. Met Dr. Thien for discussion.
[2]. Worked on the suggestions from Dr. Thien


Title 5
[1].Awaiting for the conference.

Title 6
[1]. Awaiting for publication.


Title 7
[1].Experiments.
[2].Finetuned the network architecture.

This Week Todo's

Title 4
[1]. Continue with the suggestions from Dr. Thien.
[2]. Meet professor for re-submission permission.


Title 5
[1].Awaiting for the conference.

Title 6
[1]. Awaiting for publication.


Title 7
[1].Continue with Experiments.
[2].Continue with finetuning network architecture.

Project Progress

Anti-Drone

71% Progress
Last Week's Project

[1]. Literature review on the low complex Deep learning architectures.
[2]. Design of a measurement scheme by using NI USSRP and Labview.

This Week's Project

[1]. Literature review on the low complex Deep learning architectures.
[2]. Continue with the design of a measurement scheme by using NI USSRP and Labview.

Monthly Goals

[1]. Master MATLAB communication, deep learning, and optimization toolboxes.
[2]. Finish experiments of summer intensive.
[3]. Start RF data collection for Anti-drone project.

Annual Goals

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