Ade Pitra Hermawan
Title 1: Toward Deep Learning-based Low Latency Communication in Industrial IoT – KICS Summer 2019
Title 2: CNN-based Automatic Modulation Classification for 5G Communications - IEEE Communications Letters
Title 3: Fast and Robust Automatic Modulation Classification using Deep Learning (Not fixed yet)
Title 4: Real-time Channel Prediction using Convolutional Neural Network for Massive MIMO System (Not fixed yet)
Title 2:
- Revise the paper as per review (tend to use active voice sentences)
- Simulation phase 1 = done
- Similarity check 17%
- Withdraw the paper
Title 4:
- Read references
- Find a suitable scheme
- Find a possible dataset
- Working on simulation dataset
Title 2:
- Change the sentence into passive voice
- Resubmit to the IEE Communications Letters
Title 3:
working on simulation phase 2 (For Conference version):
- Add new simulation scheme (choosing the best modulation scheme in each SNR condition)
- Try the new DL algorithm (capsule network)
- Try to implement the proposed algorithm to the new dataset
Title 4:
- Read more references
- Working on simulation in Matlab (Load dataset)
Capstone Design Class Project: E-WAMS, Website management
E-WAMS (Edge Computing-Based Wild Animals Monitoring System)
- Team Assignment
Website management
- explore database
E-WAMS (Edge Computing-Based Wild Animals Monitoring System)
- Find the idea on how to enhance the existing Merci
- Survey and find suitable references
- Create High-Level Design and Proposal
Website management
- Explore each sub-menu of the database
Monthly Goals:
- Able to use supporting tools to do a simulation (Matlab, NS3, Tensorflow)
- Increase simulation skill every month (self-measurement)
Summer Holiday Goals:
- Prepare for the conference paper (Working on it)
- Submitted to the Journal (IEEE Communications Letters) (Done)
- Paper Accepted in the domestic conference (Done)
- Paper Accepted in the international conference
- Submit at least one journal (Done)