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 (Published)


Title 3: Automatic Wireless Signal Classification using Combined CNN and LSTM Algorithm in Multimedia IoT (ETFA 2020)

Title 4: Real-time 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: Sensor Failure Recovery using Deep Learning Technique in Industrial Internet of Things (KICS 2020)

Title 7: Remaining Useful Life Estimation of Aircraft Engine using Deep Learning Technique (Summer Intensive Paper) --> ICTC 2020 (1st draft, extended to Journal)

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

Title 6:
- Finished 1st draft of the paper

Title 7:
- Wrote the abstract
- Explore the dataset
- Preprocessing the dataset (drop unuseful data, split the dataset)
- Simulate CNN and LSTM algorithms (1st phase)

This Week Todo's

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

Title 5:
- Match the paper as the journal's format

Title 6:
- Trim the paper into KICS format

Title 7:
- 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
- Create a new section for summer intensive
- Remove Heejae from the lab member list
- Explore each sub-menu of the database
- Create a manual guide of NSL Website (How to add new journal menu, etc)


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
- Introduce the website responsibility to Rani
- Explore each sub-menu of the database
- Create a manual guide of NSL Website (How to add new journal menu, etc)


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 in the international conference
- Paper Accepted in the International Journal (Done)