Papers

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

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

Title 03: Malicious Activity Classification using Network Traffic Characteristics in Industrial Internet of Things.

Last Week's Progress

- Analyzing IoT network Intrusion dataset
- 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.
- 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

- 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
- 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

- Preprocessing and labeling washroom scenario through Glink 200.
- Studying machine learning approaches for emergency detection in IoT smart home, factories.
- Discussing with other members for suggestion on working Glink 200 and jetson nano together.
-Working on existing LiDAR sensor with jetson NANO.
- Getting brief identification from Velobit Lidar sensor.

This Week's Project

- Survey on LiDAR s in korea 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 Velobit Lidar sensor.

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