Papers

Title 01: IoT-Based HVAC Monitoring System for Smart Factory
Accepted to ICTC 2020

Title 02: A Deep Learning Approach to Network Intrusion Detection in Industrial Internet of Things
Accepted to KICS Summer Conference 2020

Title 03: Activity Pattern Recognition using Machine Learning Classifier for IoT-enabled Smart Home
Submitted to KICS Fall Conference 2020

Title 04:Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things.

Last Week's Progress

- Analyzing vibration dataset from private room scenarios.
- Read Papers for Summer Intensive
-paper 1: An Efficient Anomaly Intrusion Detection Method with Feature Selection and Evolutionary Neural Network
-An approach to detect malicious activities using Cuckoo search algorithm and Artificial Neural Network.
- Analyzing IoT network Intrusion dataset
- Read Papers for KICS Fall 2020
-paper: Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network
- Collecting fall detection incident based on UltraWideBand Radar and later applying Deep CNN and compare results with other classification techniques

This Week Todo's

- Writing conference paper for KICS Fall 2020.
- Analyzing vibration dataset from private room scenarios.
- Read Papers for Summer Intensive
-paper 1: An Efficient Anomaly Intrusion Detection Method with Feature Selection and Evolutionary Neural Network
-An approach to detect malicious activities using Cuckoo search algorithm and Artificial Neural Network.
- Analyzing IoT network Intrusion dataset

Project Progress

Emergency Detection Application for Smart Home

Last Week's Project

- Survey on IMU sensor and notice to project members.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Preprocessing and labeling washroom scenario through Glink 200.
- Getting brief identification from Sick Lidar Company sensor.

This Week's Project

- Getting brief identification from Sick Lidar Company sensor.
- Survey on LiDAR sensor and notice to project members.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Preprocessing and labeling washroom scenario through Glink 200.

Monthly Goals

- Finishing summer intensive paper
- Learning machine learning approach in MATLAB
- Learning basics about the new idea implementation for summer intensive
- Finding solution of LiDAR and G Link 200 working together.

Annual Goals

- Attend International and Domestic Conference
- Complete a short Journal