Title 1: Anomaly Detection of Malicious Energy Usage in Smart Factories using Deep Neural Network
Title 2: Deep Learning-Based Energy Consumption Prediction for Smart Factory
Title 3: Efficient and Real-Time Energy Forecasting in Smart Factories using CNN-LSTM
Title 4: Predicting Security Vulnerability using Deep Neural Networks in SCADA Systems
Title 5: Reliability Analysis of Vulnerability Detection in SCADA Systems using Machine Learning
Title 1: Completed
Title 2
1. Conducted Performance Evaluation of compared Models
2. Concluded Abstract and Related Works
3. Paper tentatively concluded for ETFA 2021
Title 3
1. Completed Introduction
2. Related works
3. Continue survey of related papers
4. Started data preprocessing on smart factory energy dataset
Title 4
1. Proposed Topic
2. Survey of related papers
Title 5
1. Proposed Topic
2. Survey of related literatures
Title 2
1. Finalize fine tuning of Abstract based on results
2. Submission
Title 3
1. Start training dataset with Machine Learning
2. Continue survey of related papers
3. System Methodology
Title 4
1. Introduction
2. Survey of related papers
Title 5
1. Survey of related literatures
Development of UAV routing protocol for civil and military, Anti-Drone project
Project 1:
* Worked on the setup for indoor implementation of OLSR routing using raspberry-pi (install apps)
* Simulated the energy-efficient OLSR routing in OPNET
Project 2:
* Labelled the 300 frames of DJI_FPV drone for dataset
Project 1
* Try to implement the OLSR in the indoor environment with raspberry-pi
* Continue the simulation task
Project 2:
* Label another 300 frames for the dataset
1. Complete the revision of the journal of IEEE Geoscience and Remote Sensing Letters
2. Finish writing the paper for KICS Summer 2021
* Submit at least two Journal in one year
* Attend one International Conference
* Make sure to learn as many simulation tools as possible