Papers

Alifia Putri Anantha

Title 1:
Reducing Faulty Node Detection Delay in Industrial Internet of Things
• KICS Summer 2019 (A)

Title 2:
Deep Reinforcement Learning with Edge Computing in Faulty-Node Detection for Industrial Internet of Things (Summer Intensive 2019)
• Elsevier Manufacturing Letters (R)
• IEEE Wireless Communication Letters (R)
• IEEE Access (Pr)

Title 3:
Improved Network Intrusion Detection Using Hybrid Sequential Forward Feature Selection and Machine Learning (Winter Intensive 2019)
• Elsevier Information Processing Letters (R)
• IEEE Communication Letters (R)
• IEEE Computational Intelligence Magazine (Pr)

Title 4:
Hidden Information Detection on Speech Signal Using Mel-Frequency Cepstral Coefficient and Linear Discriminant Analysis
• KICS Summer 2020 (A)

Title 5:
Edge Computing-Based Anomaly Detection for Multi-Source Monitoring in Industrial Wireless Sensor Networks
• ICTC 2020 (A)

Title 6:
LSTM Autoencoder-Based Anomaly Detection for Industrial IoT Sensor (Summer Intensive 2020)
• MDPI Sensors (Pr)

Title 7:
Intelligent Intrusion Detection System for Industrial IoT Network Using GRU with Denoising Autoencoder
• Master Thesis (Pr)

Last Week's Progress

Title 2:
- Target: Extend the number of pages to 8 pages
- Added a clearer explanation for the system model

Title 5:
- Attended the conference

Title 7:
- Continued to work on the simulation
- Got improvement of accuracy
- Wrote chapter I, II, III, and IV

Nothing much since we were attending ICTC 2020.

This Week Todo's

Title 2:
- Add more equations and some basic explanations in the problem formulation section

Title 3:
- Change the paper format from letter to magazine

Title 6:
- Adjust the paper format with MDPI template

Title 7:
- Try to increase the accuracy
- Compare the proposed algorithm with LSTM
- Fine-tuned chapter II and III
- Submit documents for defense registration

Project Progress

IoT Platforms and Applications

Last Week's Project

- Looked for another new LiDAR candidate suitable for the project
- Surveyed and made a comparison between 2D-LiDAR products from the companies below:
• SICK
• Controlworks/Robosense
• iCent

This Week's Project

- Wait until the new LiDAR arrives
- Retry to connect DHT11 sensor to Arduino Uno and Raspberry Pi

Monthly Goals

- Resubmit Title 2 and 3
- Submit Title 6
- Complete at least 60% of Title 7
- Get to learn more algorithms of deep learning

Annual Goals

- Participate at least in one domestic conference
- Participate at least in one international conference
- Write and submit at least one journal