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 6</b>:
UAV-Based Sensor Nodes Localization Scheme utilizing Shallow Neural Network - IEEE Transactions on Industrial Informatics (Submitted)

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<b>Title 7</b>:
Real-time Energy Efficient-based Data Recovery using Multi-directional LSTM in Wireless Sensor Networks - Winter Intensive <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>(Summer Intensive Paper)</i>

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

<b>Master Thesis</b>:
A Robust Automatic Modulation Classification using Deep Learning Technique for Beyond 5G Communications

Last Week's Progress

<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>Title 9</b>:
- Understanding the review comments
- Re-simulate the program
- Added information regarding to transfer learning method
- Emailed the authors asking for the source codes.

<b>Master Thesis</b>:
- Resimulate the algorithms
- Literature review to improve the paper quality
- Wrote the Abstract, Intro (Paper works 50%)
- Simulated five algorithms (Done)

This Week Todo's

<b>Title 8</b>:
- Rework on the table energy

<b>Title 9</b>:
- Simulate the mentioned algorithms by the reviewers. (Still having issue on this)
- Add more explanation regarding to the indoor and outdoor environment.

<b>Master Thesis</b>:
- Simulate three more algorithms and compare the performance of each of them.
- Will simulate 2 more algorithms (NN and MLP)
- Add more contents.

Project Progress

Website management, Hanhwa System

Last Week's Project

Website management
- Created a manual guide of NSL Website (How to add new journal menu, etc)
- Modified the new website (add contents) - Rework on 'member' section.
- Created the Road-map for the better website (Market Branding, Social Engagement)
- Modify the recruitment section with Rani


Hanhwa System:
- Found the drawbacks and find a solution to the existing trends and issues.
- Simulated normal & abnormal devices classification based on the time-series data set (Matlab)
- Finished the simulation using SVM and CNN algorithms (Matlab)
- Finished the simulation using SVM, CNN, LR, MLP algorithms (Python)

This Week's Project

Website management
- Database migration/duplication from old website to new website
- Train Rani about the website tools --> MySQL, MobaExterm

Hanhwa System:
- Find the drawbacks and find a solution to the existing trends and issues.
- Analyze the new dataset
- Waiting new task from Dr. Kim

Monthly Goals

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

Summer Intensive:
- July: Finish 80% of the simulation, finish the abstract, introduction, related works, all the references are fixed.
- August: Finish the 2nd simulation (enhance the accuracy, comparison, etc)
- September: Finish the 1st version of the paper (before revision)
- End of October: Finalization & Submission

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)