Title 10: Predictive Anomaly Detection in Additive Manufacturing using Two-Tier LSTM
- KICS Winter 2021
Title 9: Smart Monitoring for SLA-type 3D Printer using Temporal Convolutional Network
(Tentative Title, Winter Intensive 2020)
Title 7: UAV-Assisted Uplink Communication using Dragonfly Optimization Algorithm for URLLC in Military Operations
- Target Journal: IEEE Communication Letters
Title 7: UAV-Assisted Uplink Communication using Dragonfly Optimization Algorithm for URLLC in Military Operations
- Improve the related works
- Revise the equations
Title 9: Smart Monitoring for SLA-type 3D Printer using Temporal Convolutional Networks
- Insert simulation results and abstract
Title 10: Predictive Anomaly Detection in Additive Manufacturing using Two-Tier LSTM
- Start with an introduction and related works
- Explain the simulation results
Title 7: UAV-Assisted Uplink Communication using Dragonfly Optimization Algorithm for URLLC in Military Operations
- Improve the Introduction
- Wrap up the paper this week
Title 9: Smart Monitoring for SLA-type 3D Printer using Temporal Convolutional Network
- Continue working on the system model
- Improve the error prediction
Title 10: Predictive Anomaly Detection in Additive Manufacturing using Two-Tier LSTM
- Start with the Simulations
3D Monitoring Project
- Start plotting the circuit in universal PCB board and solder the sensors permanently
- Proceed with testing the circuit board into the 3D Printer
- Troubleshoot the circuit board.
- There is some shorted connection on the board and I'm trying to fix it.
- Prepare a casing for the PCB board using a printed case using a 3D Printer.
- Start the Winter intensive paper - 20%
- Finish Summer Intensive paper -85%
- Finish the 3D Project - 35%
- Write two SCI journals
- Submit a paper on
(1) International - 100%
(1) Domestic conference paper - 100%
(1) SCI Journal - 85%
(1) SCI Journal - 20%
- Finish the 3D project - 35%