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


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 (Submitted to IEEE Transactions on Industrial Informatics)

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

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

Masther Thesis: A Robust Automatic Modulation Classification using Deep Learning Technique for Beyond 5G Communications

Last Week's Progress

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

Title 5:
- Submitted the paper

Title 7:
- Submitted the final version of the 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)

Masther Thesis:
- Resimulate the algorithms
- Literature review to improve the paper quality

This Week Todo's

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

Title 8:
- Add the paper contents (Intro and related works)
- Simulate the CNN, LSTM, and CLSTM algorithms
- Find related works with EE in sensor recovery
- Added mathematical model in calculating the EE

Master Thesis:
- Simulate three more algorithms and compare the performance of each of them.

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)
- Created the Road-map for the better website (Market Branding, Social Engagement)


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
- Revamp the new website
- Added more contents
- Finalize the Website Road-map
- Help Rani in moving member to alumni section

Hanhwa System:
- Find the drawbacks and find a solution to the existing trends and issues.
- Analyze the new dataset

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: 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
- Paper Accepted in the International Journal (Done)