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)
Title 2:
- Target: Extend the number of pages to 8 pages
- Read the review comments for better understanding
- Added a clearer explanation for system model
Title 3:
- Read the review comments for better understanding
- Revised the paper based on review comments
Title 5:
- Made poster for presentation material
Title 6:
- Readability and similarity check
- Survey on the target journal
Title 7:
- Continued to work on the simulation
- Got improvement of accuracy
- Wrote chapter I, II, III, and IV
Title 2:
- Add more equations and some basic explanations on problem formulation section
Title 3:
- Survey on other examples of magazine
- Change the paper format from letter to magazine
- Resubmit as soon as possible
Title 5:
- Attend the conference
Title 6:
- Adjust the paper format with MDPI template
Title 7:
- Try to increase the accuracy
- Compare proposed algorithm with LSTM
- Fine-tuned chapter II and III
- Submit documents for defense registration
IoT Platforms and Applications
- 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
- Failed to connect DHT11 sensor to Arduino Uno and Raspberry Pi
- Wait until the new LiDAR arrives
- Retry to connect DHT11 sensor to Arduino Uno and Raspberry Pi
- Resubmit Title 2 and 3
- Submit Title 6
- Complete at least 60% of Title 7
- Get to learn more algorithms of deep learning
- Participate at least in one domestic conference
- Participate at least in one international conference
- Write and submit at least one journal