Papers

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 (Re-submitted)

Title 3: Fast and Robust Modulation Recognition using Lightweight Convolutional Neural Network (International Conference)

Title 4: Real-time Self Sensor Data Recovery using Bi-directional LSTM in Wireless Sensor Networks (Winter Intensive)

Last Week's Progress

Title 2:
Rejected (Resubmission Allowed)
Revise the paper as per review.
- Resubmitted. (Under review)

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


Title 4:
- Working on simulation (error on MemoryError)
- Working on Introduction and Related Works.

This Week Todo's

Title 2:
- Resubmitted. (Under review)


Title 3:
- Finish the first version of the paper.

Title 4:
- Extend the Introduction and system model

Project Progress

Capstone Design Class Project: MERCI for Wild Animal, Website management, Hanhwa System

Last Week's Project

E-WAMS (Edge Computing-Based Wild Animals Monitoring System)
- Successfully connected all the systems.
- Presented final report presentation.

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
- Create an International Journal and International Conference 2020 Menu

Hanhwa System:
- Literature reviews
- Collect the required information.

This Week's Project

E-WAMS (Edge Computing-Based Wild Animals Monitoring System)
- Making the manual book (tutorial on how to build the system)


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
- Create The database of the Winter Intensive 2020 period

Hanhwa System:
- Waiting for the dataset.
- Conduct simple simulation.

Monthly Goals

- Able to use supporting tools to do a simulation (Python, Matlab, NS3, Tensorflow)
- Increase simulation skill every month (self-measurement)

Winter Intensive:
- January: Finish the 1st simulation, finish the abstract, introduction, related works, all the references are fixed.
- February: Finish the 2nd simulation (enhance the accuracy, comparison, etc)
- March: Finish the 1st version of the paper (before revision)

Annual Goals

- Paper Accepted in the domestic conference (Done)
- Paper Accepted in the international conference
- Submit at least one journal (Done)