Papers

<u><b>Ade Pitra Hermawan</b></u>

<b>Title 1</b>:
Toward Deep Learning-based Low Latency Communication in Industrial IoT &#8211; KICS Summer 2019 (Presented)

<b>Title 2</b>:
CNN-based Automatic Modulation Classification for 5G Communications - IEEE Communications Letters (Published)

<b>Title 3</b>:
Sensor Failure Recovery using Multi Look-back LSTM Algorithm in Industrial Internet of Things - ETFA 2020 (Presented)

<b>Title 4</b>:
A Robust Wireless Signal Classification using Deep Learning Technique in Multimedia IoT - KICS Summer 2020 (Presented)

<b>Title 5</b>:
Predictive Maintenance of Aircraft Engine using Deep Learning Technique - ICTC 2020 (A)

<b>Title 9</b>:
Split Super-resolution for CSI Reconstruction using Transfer Learning in MIMO System (Resubmitted to IEEE Wireless Communications Letters) <i>(Awaiting Decision)</i>

<b>Master Thesis</b>:
A Robust Automatic Modulation Classification using Deep Learning Technique for Beyond 5G Communications
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<b>Title 6</b>:
UAV-Based Sensor Nodes Localization Scheme utilizing Shallow Neural Network - IEEE Transactions on Industrial Informatics <i>(Rejected, revise and resubmit soon to IEEE Journal on Selected Areas in Communications)</i>

<b>Title 7</b>:
Real-time Energy Efficient-based Data Recovery using Multi-directional LSTM in Wireless Sensor Networks <i>(Resubmit soon to ACM Embedded System Letters)</i>

<b>Title 8</b>:
Energy Efficient-Based Remaining Useful Life Estimation of Aircraft Engine using Combined CNN and LSTM Algorithms <i>(Submit to Electronics Letters soon)</i>

Last Week's Progress

<b>Title 7</b>:
- PC error, bluescreen, trying to fix it and get the data.
- Rework on the energy efficiency part --> Calculations.

<b>Title 8</b>:
- Added the paper contents (Intro and related works)
- Simulated the CNN, LSTM, and CLSTM algorithms
- Found the related works with EE in sensor recovery
- Added mathematical model in calculating the EE

<b>Master Thesis</b>:
- Presented.

This Week Todo's

<b>Title 6</b>:
- Review the comments, and find a way on how to improve the paper.

<b>Title 7</b>:
- Finish the energy efficiency part.
- Rework the contents.

<b>Title 8</b>:
- Finish the energy efficiency part

Project Progress

Website management, Hanhwa System, IoT

Last Week's Project

<b>Website management</b>
- Database migration/duplication from old website to new website
- Solving the issue of storage/space overhead.
- Upload device form request in NSL Devices menu.

<b>Hanhwa System</b>
A.
- Finished the simulation using SVM and CNN algorithms (Matlab)
- Finished the simulation using SVM, CNN, LR, MLP algorithms (Python)
B.
- Discussed with Dr. Kim and Dr. Ahn about the new dataset and how to improve the performance.
- Discussed with Dr. Kim about the python simulations.
- Created the brief explanation document regarding to python simulations.

<b>IoT</B>
- Assigned in new project
- Conducted UWB and Vibration classification --> UWB: 100% accuracy rate, Vibration: 76% Accuracy rate

This Week's Project

<b>Website management</b>
- Continue creating manual guide for website maintenance

<b>Hanhwa System</b>
B.
- Continue the simulation in python.

<b>IoT</B>
- Elaborate more on Vibration dataset.
- Do the feature extraction algorithm before classification to increase the accuracy rate.

Monthly Goals

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

Annual Goals

2019
- Paper Accepted in the domestic conference (Done)
- Paper Accepted in the international conference
- Submit at least one journal (Done)

2020
- Paper Accepted in the domestic conference (Done)
- Paper Accepted and attend the international conference (Done Online)
- Paper Accepted in the International Journal (Done)