Title 1: Design and Implementation of Low-Cost Fog Computing Architecture for IoT-Based Applications (ICTC 2021)
Title 2: A Lightweight Intelligent-Edge for Sensor-Based Real Time Human Activity Recognition in Factory Space (Processing)
Target: IEEE Sensor
Title 3: Thermal Sensor-Based Human Activity Recognition using Hybrid-LSTM in Edge Computing Environment for Smart Factory Application (KICS Fall Conference 2021)
Title 1:
*Preparing ICTC PPT File
*Attend the 2021 ICTC Conference
Title 2:
*Continue paper review
*Continue Working on dataset training with common deep learning algorithm
*Continue brainstorming improved DL algorithm
*Try to dataset training with a lightweight DL algorithm
Title 3:
*Continue Writing the paper
*Submit final paper to KICS conference
Title 1:
*Completing conference report with team
Title 2:
*Continue brainstorming improved DL algorithm
*Continue to try dataset training with a lightweight DL algorithm
Title 3:
*Submit paper to KICS conference
Human Activity Recognition using Integrated Thermal Array, UWB, Vibration sensor for Smart Factory Application
# Continue learning about deep learning algorithm for human activity recognition (RNN, CNN)
# Training dataset
# Continue make a python program for sensor data visualization purpose and solve the problems
# Continue learning about deep learning algorithm for human activity recognition (RNN, CNN)
# Continue learning about lightweight CNN
# Training dataset
# Solve the problems python program for sensor data visualization purpose
# Dataset collection with members for falling and anomaly activities scenario when safety tools arrived
1. Submit KCIS Fall 2021
2. Survey papers related to lightweight DL algorithm for edge computing environment as my research topic
3. Implement a deep learning algorithm for human activity recognition in IoT project
1. Submit at least two SCI journals
2. Attend one international and one domestic conference
{2021 ICTC} (Done)