Report

Gbtunze

August 31, 2020 - September 6, 2020

Papers

Title 1: Fire Disaster Notification Management (FDNM) for Military Storage and Supply Operation Centers
Published: 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
1. Submitted: July 1, 2020

Title 5: Multi-shuffled Convolutional Blocks for Low complex Modulation Recognition (S)
Target: ICTC 2020

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

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

73% Progress
Last Week's Progress

Title 4
[1]. Awaiting for the review comments.

Title 5
[1]. Awaiting for the review comments

Title 6
[1]. Awaiting for publication

Title 7
[1].Experiments.
[2].Finetuning network architecture.

This Week Todo's

Title 4
[1]. Awaiting for the review comments.

Title 5
[1]. Awaiting for the review comments

Title 6
[1]. Awaiting for publication

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

Project Progress

Anti-Drone

70% Progress
Last Week's Project

[1]. Literature review on the low complex Deep learning architectures.
[2]. LabVIEW training on NI USSRP data recording.

This Week's Project

[1]. Continue literature review on the low complex Deep learning architectures.
[2]. Continue with LabVIEW.

Monthly Goals

[1]. Master MATLAB communication, deep learning, and optimization toolboxes.
[2]. Finish experiments of summer intensive
[3]. Master LabVIEW modules relevant to the data collection.

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