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 Technique (Conference)
Title 4: A Robust Autoencoder Defends Adversarial and Jamming Attacks in Wireless Communications
Title 2:
Rejected (Resubmission Allowed)
Revise the paper as per review:
- Created a draft for answering the Editor & Reviewers comments (80%)
- Compared to the new algorithms (CNN, NN 2 Hidden Layers, ICAMCNet2) (Accuracy) (Done)
- Revised the architecture figure (Done)
- Explained more about the previous research (Done)
- Defined the input, output, optimization, and loss function (Done)
- Added new reference and explained about the dataset scenario (Done)
- Rework the simulation on dataset 2018 version (working on it)
Title 3:
- Create a draft for the abstract, introduction and the proposed system
- Simulate using datasheet A, and compare the performance with the dataset B
Title 4:
- Literature reviews.
Title 2:
Revise the paper as per review:
- Finish the paper content
- Finish the draft for answering editor's & reviewers comments
Title 3:
- Change the parameters to find the best result (dropout function, the proportion between data training and testing, the patience of callback function)
- Change the architecture into a proper one (based on simulation result)
- Finish the 1st version of the draft and simulation
Capstone Design Class Project: E-WAMS, Website management
E-WAMS (Edge Computing-Based Wild Animals Monitoring System)
- Successfully connected the LiDAR sensor with Jetson Nano
- Successfully operated the LED using jetson nano
- Successfully connected the PIR sensor with Jetson Nano
- Presented final report presentation
Website management
- Explore database
- Add Dr. Thien & Dr. Doan in Postdoctoral Researcher
- Add more publication on the new website
E-WAMS (Edge Computing-Based Wild Animals Monitoring System)
- Make the final report
Website management
- Explore each sub-menu of the database
- understanding of how to add new sub-menu (MySQL), find the class CD of each sub-menu
- Able to use supporting tools to do a simulation (Python, Matlab, NS3, Tensorflow)
- Increase simulation skill every month (self-measurement)
- Paper Accepted in the domestic conference (Done)
- Paper Accepted in the international conference
- Submit at least one journal (Done)