The Data Science Lab at Dong-A University aims to incorporate a knowledge graph into recommender systems. Our goal is to discover potential paths between users and items by exploring dynamic interlinks within an evolving knowledge graph. We apply various recommendation, analytics, and reasoning techniques to real-time processing of data streams and (quasi-)static datasets in areas such as air quality monitoring, smart energy monitoring, location intelligence, retail tech, carbon-aware-computing, massive online open courses, and more.
클라우드 내 딥러닝 워크로드의 탄소 발자국 절감을 위한 그린 어카운팅 플랫폼을 주제로 KT 클라우드 상 수상
부산광역시가 주최하고 부산테크노파크가 주관한 2024년 데이터오픈랩 활용 Datory Lab에서 제안하는 기술을 인정받아 우수상을 수상하였습니다.
한국멀티미디어학회 추계학술발표대회 2024.
한국멀티미디어학회 추계발표학술대회 2024.
한국멀티미디어학회 추계학술발표대회 2024.
About The process involves measuring the carbon emissions generated from deep learning training. If a server's training process produces high carbo...
A Study on the Location Analysis of Green Car Charging Station Using Bayesian Network
A undergraduate project on managing carbon emissions on campus.
