Report

Vital_love

August 22, 2022 - August 28, 2022

Papers

Title 2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ICTC 2022 Conference

Title 4: Classification and Characterization of Encoded Traffic in SCADA Network using Hybrid Deep Learning Scheme
Target: Journal of Communication and Networks

Title 5a: Time-Aware CNN Framework for Efficient Energy Consumption Prediction in Smart Factory Target: IEEE Transactions on Smart Grids

Title 5b: Low Computational Cost Convolutional Neural Network for Smart Grid Frequency Stability Prediction
Target: Energy and AI

Title 9: RQGPR: Rational Quadratic Gaussian Process Regression for Attack Detection in the SCADA Networks
Target: APCC

Title 12: SCADA Network High Dimensional Data-Aware Intrusion Detection System using MDT-CHI Fusion
Target: IEEE IoT

Title 15: Machine Learning Efficiency
Target: MDPI

Title 16: Survey Study
Target: Surveys & Tutorials

90% Progress
Last Week's Progress

Title 2: Under review

Title 4: Under review

Title 5: To commence paper revision in line with review comments

Title 9: Accepted

Title 12: Under review

Title 15: Commenced English correction, grammar and plagiarism check

Title 16: Continued with the observations, open issues, future direction and conclusion

This Week Todo's

Title 2: Under review

Title 4: Under review

Title 5: To commence paper revision in line with review comments

Title 9: To upload camera review copy and presentation materials

Title 12: Under review

Title 15: To complete English correction, grammar, and plagiarism check

Title 16: 1. To conclude the observations, open issues, and future direction
2. To carry out English correction, grammar, and plagiarism check

Project Progress

Manufacturing Execution System (MES) Project

50% Progress
Last Week's Project

1. Continued with the survey on AI for raw materials inventory management

2. Continued with the search for a dataset for raw materials inventory management

This Week's Project

1. To continue with fine tuning of the model development for raw material inventory management using available public datasets

2. To compare the proposed model with other algorithms

Monthly Goals

1. To conclude of titles 15 & 16
2. To continue work on the model development for the research thesis
3. Start learning network simulation for the research thesis

Annual Goals

1. Submit or attend all NSL-approved domestic conferences: (100%)
2. Submit or attend at least two NSL approved International Conferences: Submitted (100%), Attended (50%)
3. Publish or submit at least two International Journal papers/Letters: Submitted (100%)