Report

Mareskapra

June 8, 2020 - June 14, 2020

Papers

Title 1: Attack Detection in Fog Layer for IIoT Based on Machine Learning Approach
Target: ICTC 2020

Title 2: Comparison of Pulpitis Detection Through Periapical Radiograph with Watershed and Grey Level Co-Occurrence Matrix (GLCM) Feature Extraction with K-Nearest Neighbour (K-NN) Classification
Target: KICS 2020

75% Progress
Last Week's Progress

Title 1:
- Start writing proposed design model
- Start simulation

Title 2:
- Align into paper based template

This Week Todo's

Title 1:
- Finalized overall proposed design and simulation
- Paper correction and feedback from mentor and Professors

Title 2:
- Align into paper based template
- Paper correction and feedback from mentor and Professors

Project Progress

Capstone Design: IoT Application for Smart Home

30% Progress
Last Week's Project

- Research dataset for fall and vibration detection
- Proposed design model LiDAR based
- Explore CNN algorithms as references

This Week's Project

- Design how to get our own dataset
- Prepare to get dataset for vibration sensor
- present weekly presentation

Monthly Goals

- Finalized paper title 1 & 2
- Getting used with research tools and environment
- More research references
- Explore more programming techniques

Annual Goals

- Publish 1 short-paper/journal
- Participate in local/international conference