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

- 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

This Week Todo's

- 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

Project Progress

Emergency Detection Application for Smart Home

Last 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.

This 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.

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