Papers

Ade Pitra Hermawan

Title 1: Toward Deep Learning-based Low Latency Communication in Industrial IoT – KICS Summer 2019 (A)

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

Title 3: Sensor Failure Recovery using Multi Look-back LSTM Algorithm in Industrial Internet of Things - ETFA 2020 (A)


Title 4: Real-time Energy Efficient-based Data Recovery using Multi-directional LSTM in Wireless Sensor Networks - Winter Intensive (Resubmit soon to ACM Embedded System Letters)

Title 5: UAV-Based Sensor Nodes Localization Scheme utilizing Shallow Neural Network - Extension (Resubmit soon to IEEE Transactions on Industrial Informatics)

Title 6: A Robust Wireless Signal Classification using Deep Learning Technique in Multimedia IoT (KICS 2020)

Title 7: Predictive Maintenance of Aircraft Engine using Deep Learning Technique (ICTC 2020)

Title 8: Energy Efficient-Based Remaining Useful Life Estimation of Aircraft Engine using Combined CNN and LSTM Algorithms (Summer Intensive Paper)

Last Week's Progress

Title 4:
- Understanding the review comments
- Simulated the MLP algorithm
- Simulated the NN algorithm

Title 5:
- Reworked the paper
- Discussed with Rizki
- Match the paper as the journal's format

Title 6:
- Finished the first version of the paper

Title 7:
- Finished three pages of paper

Title 8:
- Wrote the abstract
- Explore the dataset
- Preprocessing the dataset (drop unuseful data, split the dataset)
- Simulated CNN and LSTM algorithms (1st phase

This Week Todo's

Title 4:
- Find the Energy Efficient correlation --> Schedule infrequent data updates.
- Design the new system.

Title 5:
- Resubmit within this week.

Title 6:
- Final revision and paper submission.

Title 7:
- Final revision and paper submission.

Title 8:
- Add the paper contents (Intro and related works)
- Simulate the CNN, LSTM, and CLSTM algorithms

Project Progress

Website management, Hanhwa System

Last Week's Project

Website management
- Created a new section for summer intensive
- Explored each sub-menu of the database
- Created a manual guide of NSL Website (How to add new journal menu, etc)
- Modified the new website (add contents)


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 first version of the SVM algorithm.

This Week's Project

Website management
- Revamp the new website
- Added more contents

Hanhwa System:
- Find the drawbacks and find a solution to the existing trends and issues.
- Finish the simulation using SVM and CNN algorithms (Matlab)
- Finish the simulation using SVM, CNN, LR, MLP algorithms (Python)

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 September: Finalisation & 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
- Paper Accepted and attend the international conference
- Paper Accepted in the International Journal (Done)