Title 01: Activity Recognition Neural Network Architecture for Cyber Physical System
Title 02: IoT-Based HVAC Monitoring System for Smart Factory
-Working on performance evaluation
-Read Papers for ICTC conference
Paper1: A System based on IoT platforms and Occupancy Monitoring for Energy-efficient HVAC Management
- A model is approached based on Internet of Things (IoT) platforms for energy-efficient Heating,
Ventilation and Air Conditioning (HVAC) management
Paper2: A Smart Home Energy Management System Using IoT and Big Data Analytics Approach
- A smart metering system for energy consumption and collecting data for big data approach
Paper3: KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving.
- KAIST multi-spectral data set has been introduced which covers a great range of drivable regions,
from urban to residential, for autonomous systems.
-Learning R programming for evaluation
-Working on performance evaluation for ICTC conference
-Reading papers for KICS conference
Paper1: KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving.
-KAIST multi-spectral data set has been introduced which covers a great range of drivable regions, from
urban to residential, for autonomous systems.
Paper2: nuScenes: A multimodal dataset for autonomous driving.
- present nuTonomy scenes (nuScenes), the first dataset to carry the full autonomous vehicle sensor
suite
Paper3: A Smart Home Energy Management System Using IoT and Big Data Analytics Approach
- A smart metering system for energy consumption and collecting data for big data approach
-Learning R programming for evaluation
IoT Application for Smart Home
-Collected Vibration sensor data using G-LINK-200 wireless vibration sensor
-Attending meeting
-Learning basics about the new idea implementation of project
-Making and presenting Final Report and Technical Report of progress of the project
-Attending class
-Finishing paper for ICTC Conference
-Working on KICS paper
-Learning basics about the new idea implementation of project
-Collecting LiDAR based dataset
-Attend International and Domestic Conference
-Complete a short Journal