Project 1 - Real-time anomaly detection based on user behavior in mobile environment (National Research Council of Science & Technology) - 2018.04 ~ 2018.11

User authentication based on keystroke and drawing pattern in smartphone in Android environment.

Development of keystroke and drawing pattern data using our own application.

Development of authentication method based on deep neural networks.

Achieved high performance on both task.

Applying TCN based approach for future work.

  Project 2 - Development of machine learning media streaming optimization system using QoE information (INI Soft) - 2018.07 ~ 2019.03

In order to efficiently serve large-capacity media contents such as Videos on the Internet and mobile, we developed a machine learning-based algorithm and library that automatically arranges content on CDN (Content Delivery Network).

Development of QoE (Quality of Experience) Report collection technology for users' use of content.

Development of Dynamic Content Placement and CDN Selection Algorithm for Performance/Price Optimization under Multi-CDN.

Development of QoE (Quality of Experience) Report System Technology.

Multi-CDN performance/price optimization algorithm.

  Project 3 - Development of Sentiment Analysis and Visualization using News Data (Befly Soft) - 2019.05 ~ 2019.10

Development of sentiment analysis model using semi-supervised learning methodology.

Development of sentiment analysis model using deep learning methodology.

Applied self-training and label propagation for unlabeled data.

Applied Bi-LSTM Attention and CNN method for sentiment classification.

Class Activation Map method for word localization.