Title 01: Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things
IEEE Transactions on Industrial Informatics.
Title 02: Smart Factory Floor Safety Monitoring using UWB Sensor.
IEEE Transactions on Circuits and Systems
Title 01:
- The paper is under the review
Title 02:
- Applied LSTM for classifying emergency using UWB dataset to analyze the breathing pattern
- Paper 1: Self-Identification Respiratory Disorder Based on Continuous Wave Radar Sensor System
- A model based on the machine learning technique (SVM, DTree, KNN) is investigated to classify the
breathing disorder
- Start writing simulation process on winter intensive
Title 01:
- The paper is under the review
Title 02:
- Read papers for winter intensive
- paper 1: Self-Identification Respiratory Disorder Based on Continuous Wave Radar Sensor System
- A model based on the machine learning technique (SVM, DTree, KNN) is investigated to classify the
breathing disorder
- Finish writing performance analysis of winter intensive
- Researching Ideas for writing paper in Summer KICS.
Emergency Detection Application for Smart Home
- Collecting new samples of movement and respiration using UWB for smart factory scenario.
- Applying LSTM forecasting for detecting respiration pattern
- Applying other Machine Learning approaches into the UWB dataset to verify accuracy
- Collecting new samples of movement and respiration using UWB for smart factory scenario.
- Applying other Machine Learning approaches into the UWB dataset to verify accuracy
- Finishing winter intensive paper
- Writing Introduction and related works for winter intensive
- Learning machine learning approach in MATLAB
- Learning basics about the new idea implementation for winter intensive
- Finding the solution of LiDAR, UWB breathing, and G-Link working together.
- Attend International and Domestic Conference
- Complete a short Journal