Report

Paramartha

January 10, 2022 - January 16, 2022

Papers

Made Adi Paramartha Putra

- Title 6: Data Prediction-Based Energy-Efficient Architecture in Industrial Internet of Things - IoT Special Issue (Resubmitted)

- Title 7: Efficient 3D Printer Fault Classification using Multi-Block 2D Convolutional Neural Network - KICS Journal (Accepted)

- Title 8: Composite Multi-Directional LSTM for Accurate Prediction of Energy Consumption - ICOIN (Accepted)

- Title 9: Fault Detection in 3D Printers using an Improved YOLOv5 with Hyperparameter Tuning - KICS Fall 2021 (Accepted)

- Title 10: FDP: A Fog Data Prediction Testbed Architecture to Enhance IoT Sensor Lifetime - ICC (Submitted)

- Title 11: Implementation and Evaluation of Testbed Architecture for IoT Data Prediction - Winter Intensive - IEEE Embedded System Letters

- Title 12: Towards Delay Aware Data Recovery using Deep Learning in Embedded IoT Application

- Title 13: Adaptive Data Prediction Protocol for IoT Application - IEEE Journal

50% Progress
Last Week's Progress

Title 6: IEEE IoT Journal
- Waiting for Review

Title 10: ICC 2022
- Waiting for Review

Title 11: IEEE Embedded System Letters
- Start gathering the dataset
- Considering the evaluation scenarios

Title 12:KICS Winter 2022
- Create system design
- Writing Paper

This Week Todo's

Title 6: IEEE IoT Journal
- Waiting for Review

Title 10: ICC 2022
- Waiting for Review

Title 11: IEEE Embedded System Letters
- Monitoring datasets Gathering
- Check missing data filling method

Title 12:KICS Winter 2022
- Testbed evaluation
- Finalize paper

Project Progress

3D Printing Monitoring

50% Progress
Last Week's Project

- Design the architecture for the next project goals
- Prepare for the dataset gathering with seven sensors
- Learn GUI using pyqt5
- Socket Programming Python

This Week's Project

- Finalize 3D Project with Conception
- Move to Conception to implement testbed implementation
- Evaluate Test Scenario of the system based on project requirement

Monthly Goals

- Finish 3D Project with Conception ( )
- Submit to KICS Winter ( )
- Present to ICOIN Conference ( )
- Finish gathering dataset for Winter Intensive ( )

Annual Goals

* Accepted in 2 Local and International Conference: ()
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* Accepted in 2 Journal (SCI / SCIE):
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