Side Project in Master Degree

Automatically control drones, 2019

• Project of Lab
• Use Raspberry Pi and PX4 autopilot to remote control drone.

Apply K-means clustering to increase the throughput of UAV-assisted D2D network, 2019

• Final project of Machine Learning Algorithm.
• Study the problem of cache node placement and selection with the coexistence of UAVs cache and device-to-device (D2D) cache in mobile networks.
• With utilizing K-means clustering, the UAV-assisted cache device can maximize the total throughput in a combined UAV and D2D cache network.
• Study some machine learning algorithm, the tool “scikit-learn”, and the mathematical analysis of communication system problems.

A Study of Part-of-speech tagging for Article, 2020

• Final project of Natural Language Processing.
• Use bidirectional encoder representations from transformers (BERT) model and bi-LSTM to classify the Part of speech of each Chinese words.
• Study the Chinese word segmentation and the familiar with Pytorch and Keras framework.

Apply Deep Learning to Predict the Network Traffic in Urban Areas, 2019

• Final project of network technical analysis.
• Use Python script to design a CNN and RNN framework which can predict the network traffic at different times.
• Study the wireless network model and familiar with Tensorflow framework.