Report

Fabliha

April 6, 2021 - April 12, 2021

Papers

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

10% Progress
Last Week's Progress

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
- Paper 2: Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network.
- This paper presents detecting and observing fall detection using Xethru radar sensor and then
applying deep CNN.
- Start writing-related papers based on winter intensive

This Week Todo's

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
- Finish writing-related papers and start writing simulation process on winter intensive

Project Progress

Emergency Detection Application for Smart Home

10% Progress
Last Week's Project

- Collecting samples of movement and respiration using UWB
- Applying classification and deep learning approaches for respiration detection
- Applying other Machine Learning approaches into UWB dataset to verify accuracy

This Week's Project

- Collecting samples of movement and respiration using UWB
- Answering review comments based on “Detection and Classification of Human activity for Emergency
Response in Smart Factory Shop Floor” paper
- Applying classification and deep learning approaches for respiration detection
- Applying other Machine Learning approaches into UWB dataset to verify accuracy

Monthly Goals

- 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.

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal