Report

Fabliha

March 8, 2021 - March 14, 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:
- Submitted to IEEE Transactions on Industrial Informatics

Title 02:
- Applied LSTM forecast to UWB dataset to analyze the breathing pattern
- Will apply LSTM classification for detection of emergency
- Read papers for Winter Intensive.
- Paper 1: 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.

This Week Todo's

Title 01:
- The paper is under the review

Title 02:
- Applied LSTM classification using UWB dataset to analyze the accuracy of the breathing pattern
- Read papers for Winter Intensive.
- Paper 1: 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.
- Paper 2: 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

Project Progress

Emergency Detection Application for Smart Home

10% Progress
Last Week's Project

- Started writing note based on IoT project so far
- Applying classification and deep learning approaches for respiration detection
- Try to collect more dataset based on UWB sensor

This Week's Project

- Trying to collect more dataset based on UWB sensor
- Started writing note based on IoT project so far
- Applying classification and deep learning approaches for respiration detection

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